image_id stringlengths 8 28 | caption_L1 stringlengths 51 785 | caption_L2L3 stringlengths 50 1.21k | chart_type1 stringclasses 11
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extra2_0142.png | The chart is a box plot titled "Fe," illustrating the distribution of iron (Fe) content in roots and shoots measured in mg/kg. The x-axis is labeled "Root" and "Shoot," while the y-axis represents Fe concentration. The boxes indicate the interquartile range, with a line marking the median. | The box plot shows similar Fe concentrations in roots and shoots, with no statistical significance indicated by the "ns" label. This suggests a lack of notable difference. Despite shoots showing greater variability in the data, the mean between the two groups is similar. | Boxplot | Simple Boxplot |
ACM_2675.png | This multiple line chart shows the relationship between the number of Original Thresholds (x-axis) and the number of Reconstitued Thresholds (y-axis) across different threshold values (ranging from -10 to 10) for five conditions: Soft threshold, Hard threshold, a=0.5 threshold, a=0.7 threshold, and a=0.3 threshold. Eac... | The chart shows that most thresholds have a positive trend, meet at 0 point at Original then proceed to increase at Reconstructed with a switch in leading positions. | Line | Multiple Line |
ACM_1116.png | This bar chart shows Road Accidents from 2019 to 2023 in different locations. The x-axis lists locations, and the y-axis shows the Number of fatal accidents, ranging from 0 to 150. | By far the most frequent road accidents occured in 'nancayasan', with 149 reported road accidents. 'San vicente' is second, with 77 accidents. | Bar | Simple Bar |
ArXiv_3rd_802.png | This multiple line chart is titled 'Comparison of f1 Score when predicate-MLPs are trained with different epochs.' It shows epoch for training on the x-axis, ranging from 0 to 50, and the F1 score on the y-axis, ranging from 0.15 to 0.35. Two conditions are shown on the plot indicated in the legend: "With VG" and "With... | It shows that the F1 score rises sharply for both conditions before epoch 12, and they both reach a plateau after epoch 24. | Line | Multiple Line |
springer_4000 copy 6.png | This grouped bar chart is titled "AY Trials", it shows the accuracy on the y-axis in range of 0.00 to 1.00, against two age groups on the x-axis: 5-year-olds and 9-year-olds. Two conditions are compared as indicated in the legend: "Alone" and "Social". "Alone" is marked blue and "Social" yellow. Grey individual data po... | The chart shows that the accuracy for the 9-year-olds in both conditions is only slightly higher than the accuracy of the 5-year-olds. The difference in accuracy between the two conditions is about the same in both age groups. The individual accuracy of 5-year-olds differ more from each other than the ones of 9-year-ol... | Bar | Group Bar |
ACM_2380.png | This line chart shows the relationship between Outside Temperature, Indoor Temperature, and Required Energy Consumption. The X-axis ranges from 0 to 150, while the Y-axis ranges from 0 to 35. | The chart shows a steep increase in required energy consumption as the indoor temperature rises, peaking around 35. At the same time, the other two elements have similar trends below, of a dip, then stabilization. | Line | Multiple Line |
Springer_2nd_1660.png | The chart is a grouped bar chart. The legend differentiates between "HRSN" and "No HRSN'. The y-axis represents percentages, while the x-axis categorizes data by state (Florida and Maryland) and time period (90-day and One-year). | The chart illustrates that HRSN shows consistent higher percentage rates, especially for the one-year bar. 'Florida one-year' shows a percentage of 73.6 for HRSN and 41.3 for no HRSN, indicating their large difference. | Bar | Group Bar |
springer_0606.png | This line chart shows the relationship between the 'Principal Component' on the x axis, ranging from 1 to 9, and the 'Percent Variance explained' on the y-axis in range of 0 to 100. | The chart shows that the percent in variance explained for principal component equal to 1 is 75, after which the percent in variance explained declines to zero very fast as the principal component increases in value. | Line | Simple Line |
ACM_1978.png | This bar chart is titled "Difference between Most Similar AUC Gap and Expected AUC Gap". The y-axis shows the Difference (AUC Gap - Expected AUC Gap), ranging from -0.02 to 0.08. The x-axis lists different Target Institutions (Schools). | The difference between the most similar and expected AUC gap is nearly completely positive across all target institutions. However School_8 and School_17 have the only negative Differences. | Bar | Simple Bar |
Springer_2nd_1025.png | This is a bar graph titled “Marine Debris.” The x-axis shows four categories: Index, Opinion, Petition, and Volunteer; the y-axis shows mean responses from 1 to 7. The legend differentiates between Gain Frame (dark gray) and Loss Frame (light gray). | Mean values are similar across frames, with no significant differences (all p-values > 0.6), suggesting framing had minimal effect. | Bar | Group Bar |
ACM_2822 copy 3.png | This grouped bar chart shows the time to pick 40 tennis balls across different conditions. The x-axis represents the number of tests from 1 to 6, and the y-axis represents the time in seconds, ranging from 0 to 70. The conditions include K-Means++, K-Means, ACO, GA, and Manual Control. | The K-Means ++ Group consistently takes the least time to pick 40 tennis balls, while the Manual Control group takes the most time, with one exception in test number 3, when the GA group took longer than the Manual Control group. | Bar | Group Bar |
ACM_2770 copy.png | This line chart shows the seasonal change from 2015 to 2020, by season. The x-axis represents the years, and the y-axis represents the index, ranging from -3 to 2. | The chart shows erratic fluctuations over the period from 2015 to 2020, with sharp drops and increases each year. The largest drops are in the beginning of each year with a number of at least -3. The highest peaks each year are at 2. | Line | Simple Line |
ACM_3101.png | This multiple line chart shows the relationship between the number of snapshots on the x-axis ranging from 0 to 800 and the RMSE (degree) on the y-axis ranging from 10 square -1 to 10 square 0. The chart includes four lines representing each condition, as indicated in the legend: ULA-MUSIC, ULA-root-MUSIC, NA-SS-MUSIC ... | The chart shows that the number of Snapshots increases with the increase of RMSE degree for all four conditions. The chart therefor shows a negative trend for all four conditions. | Line | Multiple Line |
extra_0234.png | This heatmap is titled 'Gupta et al. [30]'. It has a predicted label on the x-axis and the true label on the y-axis. Both x- and y-axes have the same seven categories of emotions: angry, disgust, fear, happy, sad, surprise, and neutral. The cell value represents the proportion of predictions for each label pair. A colo... | Diagonal values are generally high, with the strongest performance for neutral (0.88), sad (0.76). Disgust (0.61) has the lowest performance. Notable misclassification happens between neutral and surprise (0.45). | Heatmap | Heatmap |
ACM_3099.png | This grouped bar chart shows the total number of sensors (Q) on the x-axis in range of 10 to 18, and the number of complexity multiplications on the y-axis in range of 0 to 9 x10 square 6. Two conditions are compared as indicated in the legend: proposed SS-root-Music, and conventional SS-Music. | Both conditions show a gradual increase as the total number of sensors increase. The conventional S-music condition shows a sharp increase from 1 sensor to 18 sensors. In general the conventional SS-Music shows higher complexity multiplications than the proposed SS-root Music. | Bar | Group Bar |
0582.png | This grouped bar chart depicts the 'Amplitude in mA for 20 Participants". The y-axis shows Amplitude in mA in the range of 0 to 25, 20 participants are shown on the x-axis. Two conditions are comapred for every participant: Max_AMP_exp2, and Min_AMP_exp2. | Participant 4 has the highest Amplitude in mA scores for both conditons. | Bar | Group Bar |
extra_0655.png | The chart is a box plot titled "Frequency of traditional food intake (per week)" comparing diet quality between children and women under different food security levels. The x-axis indicates the "Frequency of traditional food intake (per week)" with categories from "None - <1 time" to "Everyday" for two classes; high an... | The box plots show that both children and women exhibit higher diet quality scores with increased frequency of traditional food intake, particularly evident in high food security. However, the constrast highlights that children consistently have a lower median diet quality across all categories than women. | boxplot | Grouped Boxplot |
1140.png | This grouped box plot, titled "Cognitive Load Measured by the NASA-TLX Test," presents scores across six NASA-TLX factors: mental demand, physical demand, temporal demand, performance, effort, and frustration. Each factor has three box plots representing the conditions: none (red), control (blue), and proposed (green),... | For most factors, the proposed condition exhibits a trend of lower scores compared to the other conditions, suggesting a lower cognitive load. Additionally, for the frustration factor, a star indicates a significant difference in scores between the proposed condition and the others. | Boxplot | Grouped Boxplot |
arXiv_0968.png | This multiple line chart is titled "ISIC: Task Performance with Synthetic Shortcuts". The x-axis shows Utility in the range of 0.00 to 0.08, and the y-axis shows AUC in the range of 0.5 to 0.9. Two test sets are compared: Conterfactual Test Set and Shortcut Test Set. | The chart shows that the "Shortcut Test Set" consistently outperforms the "Counterfactual Test Set" across all utilities, as the Counterfactual test set has a steep drop in performance as utility increases. The "Shortcut Test Set" however, increases slightly. | Line | Multiple Line |
springer_0974.png | This scatter plot shows score, ranging from 0 to 12, for different values of student ID, ranging from 0 to 70. The x-axis shows the student ID, the y-axis shows the score. Per student ID value, two datapoints are shown: pre- module survey and post-module survey. | The plot shows an increasing trend, as score increases as student ID value increases. The pre- module survey datapoints have a wider spread than the post-module survey datapoints. Also, the score for post-module is higher than for the pre-module data. | Scatter | Simple Scatter |
Springer_2nd_0146.png | The chart is a line graph showing how various elements (Total rare earths, Phosphorous, Thorium, Iron and Sulphur) dissolve at different bake temperatures (200-800 degrees celcius). The x-axis represents bake temperature, while the y-axis indicates dissolution in leach ranging from 0 to 100 percent. | The chart reveals that dissolution of iron sharply declines after a brief increase, and Phosphorous has a deep trough at 400 and 500 degrees celcius before going back up. | Line | Multiple Line |
springer_2353.png | This grouped bar chart is titled "Comparison of False Positive Rates between isolation-forest, One-class SVM, LOF, and our work on CIRA CIC DoHBrw 2020 Chrome". The x-axis shows the attack percentage from 0.10% to 10%, and the y-axis shows the false positive rates ranging from 0% to 10%. The legend distinguishes betwee... | The chart reveals that the "Isolation Forest" and LOF consistently has much higher false positive rates across all attack percentages, while our work is the lowest. | Bar | Group Bar |
springer_3584.png | This heatmap, titled "RMSD Heatmap". The x-axis lists 4 types of reference structures, and the y-axis lists 6 types of target structures. Cell values show the TM-score between the two structures. A color scale showing the TM-score is displayed on the right side from -1.8 to 2.8. | The lowest TM-score (1.77) occurs between 5svk and P2X3_2atp. In contrast, 6u9v shows the highestT M-score with P2X3_1atp (2.82). Structures 4dw0 and 5svk keep having consistently low TM-score with other structures. | Heatmap | Heatmap |
Springer_2nd_1523.png | This is a bar graph. The x-axis shows twelve “[Reference] – RE Type,” and the y-axis measures tensile strength in N/mm² with a scale up to 1. | Each bar represents a different reference and recycled element type combination. The graph compares tensile strengths of various recycled element types from multiple studies. The highest tensile strength is observed for [17] - FRCSRE, while [30] - LSRE shows the lowest strength. | Bar | Simple Bar |
1580e.png | This line chart illustrates the percentage of false positive rate disparity (y-axis) across various AFST decision thresholds (risk scores) and mandatory screen-in values (x-axis). The chart compares four conditions: "AFST-only (2015-2016)", "AFST-only (2016-2018)", "worker-only (2015-2016)", and "worker-AFST (2016-201... | The chart shows that false positive rate disparity peaks around threshold 15 for both AFST-only conditions, with the 2016-2018 AFST group reaching close to 20% disparity, while the 2015-2016 AFST group peaks slightly lower. After threshold 15, both AFST-only conditions see a steady decline, with the 2015-2016 group sho... | Line | Multiple Line |
ACM_1005.png | This untitled scatter plot plots datapoints on unlabeled axes. The x-axis ranges from -20 to 20, the y-axis ranges from -15 to 20. Each data point is part of 1 of four groups: 'cluster: 0', 'cluster 1', 'cluster -1' or 'cluster 2'. | The scatter plot reveals that datapoints within the groups have very low variance (low within group variance), except for the 'cluster -1' group, which is scattered around the entire plane. 'cluster 0' datapoints mostly have lower y-values and lower x-values. 'cluster 1' has higher y-values and also lower x values. 'cl... | Scatter | Simple Scatter |
ACM_4278.png | This grouped bar chart shows the number of updates on the y-axis, from 1 to 10 power of 10; 4 datasets are compared on the x-axis. Six methods are compared for each dataset, as indicated in the legend. | The (epsilon, Delta r) minus APX method has the largest number of updates across 4 datasets. | Bar | Group Bar |
Springer_2nd_0015.png | The chart is a horizontal bar graph titled "Count paper related to key themes based on QA". The y-axis is labeled "QA CRITERIA" ranging from low to high, and the x-axis is labeled "AMOUNT OF PRIMARY ARTICLES", with a numerical scale from 0 to 80. | The chart reveals a significant disparity in paper counts across QA criteria: 67 are high, while only 5 are low and 3 are medium. | Bar | Simple Bar |
1470.png | This line chart shows the relationship between "Modality Interactivity" (x-axis, from low to high) and "Elaboration" (y-axis, from 2 to 5) across three conditions: "Low Source Interactivity" (blue line), "Medium Source Interactivity" (green line), and "High Source Interactivity" (red line). Each line represents a diffe... | The "Medium Source Interactivity" group shows a sharp increase in elaboration as modality interactivity rises, peaking near 4.5. "High Source Interactivity" exhibits a modest upward trend, with elaboration increasing slightly but consistently. In contrast, "Low Source Interactivity" demonstrates a downward trend, where... | Line | Multiple Line |
ACM_2026.png | This scatter plot with error bars displays six different AUCs: "AUC 1: 0.5, AUC 2: 0.8", "AUC 1: 0.6, AUC 2: 0.8", "AUC 1: 0.7, AUC 2: 0.8", "AUC 1: 0.75, AUC 2: 0.8", "AUC 1: 0.79, AUC 2: 0.8", and "AUC 1: 0.8, AUC 2: 0.8". For each AUC the y-axis displays ABROCA, ranging from 0 to 0.4, and the x-axis shows the Test S... | The chart shows a slight increase in ABROCA scores from the first AUCs. The second and third AUCs are lower in value compared to the first. However, the ABROCA scores in the final three tests are closer to 0. | Scatter | Scatter plot with error bars |
springer_1368.png | This line chart displays training loss (orange) and validation/test loss (blue) over 60 epochs. The x-axis spans epochs (0 to 60), and the y-axis shows loss values from 0 to 10. | Training loss steadily decreases and stabilizes around 0.5. Validation loss, however, fluctuates widely, spiking several times (up to ~6), indicating inconsistency. | Line | Multiple Line |
extra2_0196.png | The chart is a donut chart. The legend indicates three categories: Diagnosis, Speech Recognition ) and Visual System Analysis. The segments show the distribution: Diagnosis (50%), Speech Recognition (25%), and Visual System Analysis (25%). The values are presented as percentages on the segments. | The segments show the distribution: Diagnosis (50%), Speech Recognition (25%), and Visual System Analysis (25%). | Pie | Pie |
ArXiv_3rd_628.png | This multiple line chart shows "number of ENVs" on the left y-axis from 0 to 4, and "ENV_0 fraction" on the right y-axis from 0.0 to 1.0. The x-axis shows the changes in Time resolution Delta t. | The number of ENVs fluctuates between 2 and 3 before time resolutions are below 10, then drops sharply to 1 at higher resolutions. Meanwhile, the ENV₀ fraction steadily increases and reaches a plateau at 0.8. | Line | Multiple Line |
springer_1067 copy 2.png | This line chart shows the Transmittance (%) on the y-axis in range of 40 to 100 against the WaveNumer (cm-1) on the x-axis in range of 4000 to 500. The line is labeled 'Ce' | The chart shows a stable transmittance level of around 90 % as wavenumber increases, with a deep downward spike to 40 at wavenuumber 40, after which the line oscillates a lot. | Line | Simple Line |
Springer_2nd_0347.png | This is a bar graph. The x-axis shows employment status, gender, sector, and occupation; the y-axis shows frequency from 0 to 10. The legend indicates three patterns for the years: 2017–18 (crosshatch), 2018–19 (solid), and 2021–22 (striped). | The graph compares employment trends over three academic years. Employment rates decreased slightly by 2018–19 and rose again by 2021–22. Private sector and administrative assistant roles saw notable growth in 2021–22. | Bar | Group Bar |
Springer_2nd_0115.png | The chart is a bar graph titled "Avg Other Expressivity vs Group Number." It features four bars representing different groups (1 to 4) on the x-axis, while the y-axis shows average survey responses ranging from 3.6 to 4.4. | The chart reveals a decreasing trend in average survey responses across groups, with Group 2 displaying the highest expressivity. Notably, Group 4 reports the lowest expressivity. | Bar | Simple Bar |
springer_0110 copy 2.png | This multiple line chart is untitled. It shows the Time (ns) on the x-axis from 0 to 100. The y-axis shows "Rg (nm)" ranging from 2.26 to 2.40. Two conditions are being compared: AChE, 20aa-AChE. | The chart shows a similar trend for both conditions. Both start around 2.29 and end around 2.31. The 20aa-AChE category is a more visible then the AChE condition. | Line | Multiple Line |
Springer_2nd_0571.png | This is a chart titled 'Percentage of Correct and Incorrect Answers'. It shows the distribution of two categories: 'Correct', and 'Incorrect'. | The chart shows that the 'Correct' answer type takes up 75.0%, and the 'Incorrect' answer types take up 25.0%。 | Pie | Pie |
ACM_1602.png | This is a line chart titled “ROC Curve: CPU and GPU.” The X-axis represents the False Positive Rate ranging from 0.0 to 1.0, and the Y-axis represents the True Positive Rate, also ranging from 0.0 to 1.0. The legend includes two lines: a solid blue line labeled “CPU and GPU” and a black dashed diagonal line labeled “Ch... | The blue line representing the CPU and GPU model rises sharply at first and then gradually curves toward the top-right corner, indicating strong performance. The model consistently outperforms the diagonal chance line. | Line | Multiple Line |
Springer_2nd_0760.png | The chart is a bar graph titled "Short rain season," comparing two treatments (Maize + Kale Control and Push-pull + Maize + Kale ). The y-axis represents the area under disease progress curves, ranging from 0 to 225. The x-axis categorizes various diseases: Anthracnose, Black rot, Early blight, Late blight, Leaf curl,... | The chart reveals that the Maize + Kale Control shows significantly higher disease prevalence, especially in Leaf curl. In contrast, the Push-pull treatment generally results in lower disease progress, highlighting effective disease management strategies. | Bar | Group Bar |
1286.png | This scatter plot with error bar is titled "Harmful Communication Behaviors". Severity of Harm is measured on the y-axis in range of 1 to 5, and the x-axis shows four behaviors: insulted or disrespected, malicious messages, spreading rumors, and sexual photos. | The chart illustrates a progression of harm, with insulted or disrespected being the least harmful and sexual photos presenting the highest degree of harm. Each scattar includes error bars, indicating the variability in responses regarding the perceived harm of each behavior. | Scatter | Scatter plot with error bars |
ACM_3028 copy.png | This grouped bar chart shows the re-projection error/pixels and angles from 0 to 20°. Two conditions are indicated in the legend and compared in the chart: "turn left" and "turn right". The y-axis represents the reposition error, ranging from 0 to 2.6 pixels. The x-axis shows the angles/°. | The chart shows that both conditions have similar error rates across angles, with errors tending to increase as the angle increases. However, the "Turn right" condition outperforms the "Turn left" condition in terms of accuracy, except for the 10° and 17.5° angle. | Bar | Group Bar |
Springer_3rd_082.png | This heatmap is titled 'Confusion Matrix for 7th EP'. The x-axis represents the predicted label, and the y-axis represents the True label. Both the x- and the y-axis have the same six categories: 'Not an MEP', 'for', 'Against', 'Abstention', 'Absent', and 'Did not vote'. The cell value represents the percentage of clas... | The chart reveals that the 'for' category has the highest accurate classification, of 0.9300. Followed by the category of 'not an MEP', with a classification rate of 0.8000. Other categories have a higher misclassification rate, most likely to be classified as the 'for' category. | Heatmap | Heatmap |
ACM_1162.png | TThis is a vertical bar graph. The x-axis shows the number of channels (20, 15, 10, 5), and the y-axis shows accuracy percentages from 0 to 100. The legend differentiates two series—dark blue for Multi Head 4 and light blue for Multi Head 1. | The graph shows that accuracy decreases as the number of channels reduces, with Multi Head 4 consistently outperforming Multi Head 1 across all channel configurations. | Bar | Group Bar |
ACM_2396.png | This multiple line chart shows the Transmission/dB in range of -60 to 0. On the x-axis is the Frequency/GHz, ranging from 25.8 to 26.2. The chart includes three lines representing different conditions: epsilonl=164.9, epsilonl=165, and epsilonl = 165.1. | The chart shows similar trends of all three elements across the chart, with the epsilon1=165.1 showing the lowest rate of transmission at frrequency 26.05. The epsilon =164.9 shows the highest transmission. | Line | Multiple Line |
1715.png | This bar chart displays the number of occurrences on the y-axis, ranging from 1 to 50. The x-axis represents various time intervals, including seconds, minutes, hours, days, weeks, months, and years. Each bar shows the number of occurrences for a specific time value. | The highest number of occurrences is recorded at time intervals of 5 minutes (44 occurrences), 10 minutes (33 occurrences), 30 minutes (28 occurrences), 1 hour (43 occurrences), and 2 hours (23 occurrences). | Bar | Simple Bar |
ACM_1094.png | This area chart is titled 'Histogram for Lasso'. The y-axis shows Number of Stocks in range of 0 to 15, the x-axis shows R_Square in range of -0.5 to 1.0. | The histogram shows a skewness of -1.75 and kurtosis of 3.56 for the distribution. The R squared with the highest amount of stocks, 15, is 0.6-0.7. The lowest amount of stocks is with an R square of -0.25: the amount of stocks is also 0. The chart shows a higher amount of stocks for higher values of R-square. | Bar | Simple Bar |
arXiv_0448.png | This line chart is titled "A. The nationwide relative mortality risk", it shows the relation between the mean temperature (lag 0 to 3) in celcius on the x-axis ranging from 0 to 30, and the relative risk on the y-axis in range of 0.75 to 1.75. | The chart shows a decrease in risk from 1.1 to 1 as temperature goes up from -7 to 10, then a sharp rise from 1 to 1.18 when temperature goes from 15 to 29. | Line | Simple Line |
ArXiv_3rd_15.png | This multiple line chart is titled 'Average Daily Steps, Group 2'. The y-axis shows Average Daily Steps in the range of 2,000 to 4500, the x-axis shows Week in the range of 0 to 12. Two conditions are compared as indicated in the legend: No Nudges and Nudges. | The chart shows that daily step counts remain consistent between 3,500 and 4,000 across the 12 weeks, with no significant changes in the number of steps taken. Both conditions have a very similar trend and value in average daily steps. | Line | Multiple Line |
1217.png | This bar chart, titled "Mean RSME Values of Different Visualization Types" shows the mean RSME values for various visualization types on the x-axis, labeled as AAR, AAR+V, CAR, CAR+V, and Paper. The y-axis, labeled "Mean RSME," ranges from 0 to 60. Error bars indicate the variability for each visualization type. | The chart suggests that the Paper visualization type has the lowest mean RSME, while AAR has the highest, indicating differences in accuracy across visualization methods. | Bar | Simple Bar |
ACM_0163.png | This grouped bar chart is titled "Confidence". The x-axis shows different categories named: CS1_S21, CS1_F21, CS1_S22, CS1_F22, CS2_S21, CS2_F21, CS2_S22, and CS2_F22. The y-axis shows numbers from 0 to 5. Each bar is split into two categories: Female and Male. | Male participants consistently report higher numbers than female participants across all conditions. The biggest difference is seen in category CS1 S22 with Male having number 4 and Female 3. | Bar | Group Bar |
1521.png | This bar chart is titled "Time Spent Choosing Intervention Difficulty Each Session," represents the distribution of time (in seconds) that users spent choosing a difficulty level across different sessions. The x-axis shows the time elapsed, ranging from 0 to 25 seconds, and the y-axis shows the number of sessions, rang... | The median time spent choosing a difficulty level is 1.55 seconds, with most sessions falling within the first few seconds. | Bar | Simple Bar |
springer_3941 copy 2.png | This bar chart shows the "Viability of MCF7 Cells" on the y-axis in the range of 0% to 100%, against different "Concentration" on the x-axis, ranging from 0 to 500 μg / ml. | The chart shows that the viability of MCF7 cells decreases as the concentration level increases. It was 100% in viability of MSCF7 cells when the concentration is 0 μg / ml. It has only 10% in viability of MSCF7 cells when the concentration is 500 μg / ml | Bar | Simple Bar |
1999.png | This box plot shows the failure rate for various software organizations, with the y-axis representing the failure rate from 0 to 100 percent and the x-axis listing organizations, including Adobe, Amazon, Facebook, Google, Microsoft, and Yahoo. | The median failure rates are approximately as follows: Adobe at 30% (interquartile range from 15% to 75%), Amazon at 35% (interquartile range from 10% to 40%), Facebook at 15% (interquartile range from 5% to 45%), Google at 0% (with all values below 10%), Microsoft at 0% (with outliers around 18%, 38%, 40%, and 45%), a... | Boxplot | Simple Boxplot |
extra_0487.png | This pie chart is titled 'Thematic CLuster Distribution'. It shows the distribution of four categories: Pyrolysis, Incineration, Gasification, and Anaerobic digestion. | Pyrolysis leads with 35%, followed by Gasification at 30% and Incineration at 28%, while Anaerobic digestion is least represented at 7%. | Pie | Pie |
springer_4294 copy.png | This boxplot chart shows the negativ logarithm ten in relationship to the unit of adjacency for two conditions. The x-axis shows the unit of adjacency, in range of 1 to 10. The y-axis shows the negative logarithm (adjusted p-value), ranging from 0 to 6. Two conditions are compared as indicated in the legend: Non-adjac... | The plot reveals that both conditions exhibit a general decline in negativ logartithm ten for the first six units and then slightly increase befor they decresase again for the last two units. The highest negativ log ten for non-adjacent control is at unit 9 and at unit 1 for adjacent derivatives. | Boxplot | Simple Boxplot |
springer_1518.png | This heatmap visualizes Periodicity Complexity Entropy (CE) Error across a parameter space defined by axes f1 and f2, both ranging from 0.0 to 0.8. The color bar represents CE Error values on a logarithmic scale from 100 (red) to 101 (blue). Region labels such as Pd-1 to Pd-4 and Chaos appear at the top for reference... | Most of the chart is shaded in light blue to cyan, suggesting moderate CE error, with some dark blue and purple patches indicating lower error values. Scattered red regions especially near the top and bottom edges reflect higher CE error. | Heatmap | Heatmap |
Springer_2nd_1616.png | This is a homoscedasticity plot featuring blue dots representing data points. The x-axis is labeled "Predicted Y" with a scale ranging from 0.63 to 0.68, and the y-axis is labeled "Abs(Residual)" ranging from -0.005 to 0.020. | The chart shows varying levels or residual for various predictions of Y, indicating no clear pattern in the residuals data. | Scatter | Simple Scatter |
springer_0697 copy 4.png | This bar chart shows the 'relative expression of bcl-2 mRNA' of six metrics: control, model, drug-low, drug-medium, drug-high and NAC. The y-axis ranges from 0 to 1.5, the x axis shows the six metrics. | The chart shows that the 'drug-high' metric has the highest relative expression, with a score close to 1. This is followed by NAC with a score close to 1 as well, only slightly below the score of drug-high. | Bar | Simple Bar |
springer_4015.png | This grouped bar chart shows how many MLI (µm) C57-Terac +/+, C57-Terc +/- and C57-Terc -/- have for each 2 month and 8 to 10 month. The y-axis represents the MLI (µm) in range of 0 to 80, the x-axis shows the months 2 and 8-10 and the thre types of CT-Terc. Two conditions are compared as seen in the legend: CT_Terac_... | The chart shows that the MLI (µm) is higher after 8-10 month than 2. C57-Terc -/- has the highest MLI (µm) over both time durations, CT-Terc +/+ the lowest. The difference in MLI (µm) between the different time durations is the greatest for C57-Terc +/- and the lowest for C57-Terc +/+. | Bar | Group Bar |
ACM_2929.png | This boxplot shows Latency (Second) on the y-axis in the range of 0 to 0.8 against 4 detection methods on the x-axis: Double-PINN, FD-PINN, PINN, and MC-PINN. | The chart shows that the PINN method achieves the highest median values, followed by the FD-PINN method, then the MC-PINN method, and finally the dual-PINN method. The interquartile ranges for these methods are similar, with the exception of the PINN method, which has a wider range. | Boxplot | Simple Boxplot |
springer_3951 copy 7.png | This boxplot is titled "G) Orbaceae"; it shows relative frequency on the y-axis in the range of 0% to 10%. The x-axis lists two Biome conditions: Caa and Mata. Each condition is represented by a boxplot. | The plot shows that the Caa Biome has a similar median in relative frequency (3%) to the Mata Biome category (3%). Caa has a larer interquantile range than Mata. | Boxplot | Simple Boxplot |
springer_3226.png | This horizontal bar chart shows the mean SHAP value for six different conditions. The y-axis lists the conditions: Magnitude, R_jb, Epicontral Distance (Km), Hypocenteral Distance (Km), V_s30 (ms), and Depth (Km). The x-axis represents the mean SHAP value, ranging from 0.000 to 0.014. Each bar is color-coded in red, w... | The chart shows that "Magnitude" has the highest mean SHAP value (+0.01). "Depth" has the lowest mean SHAP value. | Bar | Simple Bar |
ArXiv_3rd_815.png | This multiple line plot is titled "Good Model", it compares a polynomial regression model of degree 1 and the exact function y=cos(0.5πx+2x2), with sample data points shown on the plot. Axes are labeled "x" and "y" without ranges. | It shows the model fitting line fails to capture the curvature of the exact function, indicating an underfitting situation. | Line | Multiple Line |
1560d.png | This boxplot, titled "Estimation of Pedestrian-Perception Distance," shows the estimated distance for pedestrian perception in two conditions: AR and Baseline. The y-axis represents distance scores ranging from 0 to 10. The AR condition has a higher median distance score compared to the Baseline condition, with a signi... | The AR condition shows significantly higher pedestrian-perception distance compared to the Baseline condition. | Boxplot | Simple Boxplot |
springer_2496 copy.png | This horizontal boxplot chart is titled 'ATE'. The y-axis shows the 4 different models, against the value of ATE on the x-axis, ranging from -10 to 2. | The chart shows that the category of 'SBP | LCD; Gender, Age [T20]' has the lowest ATE value, -9.172. The category of 'TBC| LCD; Gender, Age [T2D] has the highest value of ATE, 2.097. | Bar | Simple Bar |
Springer_2nd_0319.png | The chart is a grouped bar graph titled "The performance of the models on the Emotiw23." It displays two bars: frame-level (spatial features) and video-level (temporal features). The x-axis labels the model names (MobileNetV2, ResNet101, InceptionV3, etc.), while the y-axis displays performance scores ranging from 0 to... | The chart illustrates that video-level features show higher values than frame-level features across all models, with scores peaking at approximately 0.7 for video-level in "DenseNet161". | Bar | Group Bar |
ACM_1187.png | This is a bar chart that represents the distribution of data. The x-axis is labeled "Affinity" and ranges from 5 to 11. The y-axis is labeled "Frequency" and has a logarithmic scale from 10 power of 1 to 10 power of 4. | The highest frequency occurs at affinity 5, while the lowest occurs at affinity 11. | Bar | Simple Bar |
0791.png | This grouped bar chart is titled 'Users' Subjective Ratings'. 5 rating perspectives are shwon on the x-axis: Speed, Accuracy, Fatigue, Cog Burden, and General. Ratings for each perspective is shwon on the y-axis in range of 1 to 7. Two conditions are compared: Res TypeStatic, and ResType. | Accuracy Perspective rated the highest for both conditions, above 5. For ResTypeStatic condition, it has lowest rate at Fatigue, and for ResType, it has lowest rate at Speed. | Bar | Group Bar |
Springer_3rd_047.png | This pie chart is titled 'How often do you prefer using chatbots or virtual assistants for insurance-related inquiries? 80 responses. It shows the distribution of five categories for this question: 'Always', 'Sometimes', 'Never', 'Often', and 'Rarely'. | The chart shows that there are 58.8% of responses reported 'Sometimes', 15% reported 'Never'. Followed by 12.5% of 'Always' and 10% of 'Rarely'. | Pie | Pie |
springer_3803.png | This multiple line chart shows the "Search Queries Popularity" metric over time for three categories: "AI Anxiety", "Is AI dangerous?", and "Will AI replace...". The x-axis represents time, ranging from 2018 to 2023, and the y-axis represents the popularity metric, ranging from 0 to 100. A vertical line is displayed at... | The chart shows that the search popularity for all three search queries is similar, increasing overall. Before ChatGPT was launched in 2022, the search popularity fluctuated for all three queries, around 10. Since ChatGPT was launched in 2022, there has been a notable peak for all three search queries, achieving a 100 ... | Line | Multiple Line |
arXiv_0906.png | This grouped bar chart shows the share of comfortable with gay individuals across different co-workers. The y-axis represents the share of comfortable with gay individuals, ranging from 0.4 to 1, while the x-axis lists various co-workers: Double List Supervisors, Direct Question Supervisors, Double List Co-Workers, Dir... | The chart shows that the "Direct Question" has the highest share of comfortable gay individuals, around 0.85, followed by "Double List" around 0.65, however, "Supervisors" have a slightly lower share than the other two. | Bar | Group Bar |
ACM_4263.png | This is a multiple line chart comparing query time on the y-axis, from 10 power of -2 to 10 power of 5 seconds, versus parameter gamma on the x-axis, with values from 0 to 0.8. Three methods are shown: (epsilon, Delta r) minus APX, LocalDecomp, and CPT-Basic, with a legend indicating their symbols and line styles. | LocalDecomp method yields a constant query time at 10 to the power of 2 seconds with the rise of gamma. Oppositely, the other two methods show a decreasing trend with the rise of gamma. Overall, the CPT-Basic method requires the lowest amount of query time. | Line | Multiple Line |
0603.png | The grouped bar chart shows the frequencies of negatively and positively affected states by emotions. The count is shown on the y-axis in range of 0 to 30, while 5 emostions are shown on the x-axis: joy, sadness, fear, anger, surprise. 2 Labels are compared for each emotion: negative and positive. | Statistically significantly higher frequencies were observed for joy positive; for fear negative; for anger negative; and for surprise positive. | Bar | Group Bar |
springer_2590.png | This line chart is titled "LGDP2" and shows the relationship between "Quantile" on the x-axis, ranging from 0 to 100, and a number value on the y-axis, ranging from 0 to -5. | The chart shows a negative correlation between LGDP and the Quantile. As the quantile increases, the LGDP decreases, indicated by the downward-sloping blue curve. | Line | Simple Line |
Springer_2nd_0107.png | The chart is a scatter plot. Both axes are labeled as "skeptical." The x-axis features a linear scale from 0 to 0.08, while the y-axis ranges from -0.03 to 0.01. | The scatter plot highlights a concentration of data points near zero, suggesting a majority show low skepticism. The drop-off in density indicates a steep decline in response as skepticism increases, illustrating a perceptual trend towards central values amid sparse extreme observations. | Scatter | Simple Scatter |
ArXiv_3rd_139.png | This multiple line chart is titled '4p2', it shows the "True Positive Rate" on the y-axis, ranging from 0 to 1, against the "False Positive Rate" on the x-axis, ranging from 0 to 1. The chart compares two conditions: "ROC curve (AUC=0.939)", and "Baseline". | The chart shows that both conditions have a positive trend, the ROC curve (orange) slightly outperforms the baseline (blue) in terms of accuracy. The ROC curve shows a value of AUC=0.939. | Line | Multiple Line |
1282.png | This bar chart displays the mean Words Per Minute (WPM) across five conditions: Dynamic, Non-Uniform, Personalized, Uniform-High, and Uniform-Low. The y-axis, labeled "WPM," ranges from 0 to 45, with black lines on each bar indicating 95% confidence intervals. | The uniform-high condition shows the lowest WPM, while the non-uniform condition exhibits the highest WPM, closely followed by personalized and dynamic conditions. | Bar | Simple Bar |
ACM_1877 copy.png | This multiple line chart shows six different models, labeled as: "Real Data", "ADSGAN", "CTGAN", "DECAF", "DGPT" and PATEGAN. The x-axis represents: "BL", "CoR", "DIR", "RW", and SUP, while the y-axis represents fairness, ranging from 0.75 to 1.00. Each model is represented by a separate line, as indicated by the legen... | The chart shows that all six models perform similarly, except DECAF having the highest performance overall. The highest fairness values are on the RW metric, where all models lie between 0.90 and 0.93. The lowest fairness values are on the BL and DIR metrics, where the models range between 0.73 and 0.92. | Line | Multiple Line |
Springer_2nd_1839.png | This is a Grouped Bar chart comparing median investments (in USD) between non-family and family business entrepreneurs across five regions: Africa, Asia & Oceania, Latin America & Caribbean, Europe, and North America. The y-axis ranges from 0 to 35,000 USD. | In each region, non-family business entrepreneurs consistently report higher median investments than family businesses. The widest disparity is in North America, where non-family businesses invest around 30,000 USD compared to approximately 10,000 USD for family firms | Bar | Group Bar |
springer_4079 copy.png | This bar chart is titled 'Error Distribution - Optimal 9 QCAE'. The x-axis shows the combined position error, and the y-axis shows the frequency in rage of 0.0 to 2.0. | The chart shows that the highest frequency of combined position error is at around 27 at around 30 to 31 and around 32 to 33. there are no errors under around 25 at around 26.5 and around 27.5 to 28. | Bar | Simple Bar |
springer_0204 copy 2.png | This multiple line chart is titled "SSDI". It shows the number of applications on the y-axis from 65'000 to 95'000. The x-axis shows six numbers (probably years and months) 2011/9, 2013/5, 2015/1, 2016/9, 2018/5 and 2020/1. Three conditions are being compared: Actual, Spatial and AR(2). | The chart shows a similar trend for all conditions. They start around 80'000 and decrease to 75'000. All lines are fluctuating, and show quite the same results. The spatial condition shows the highest peaks at 90'000. | Line | Multiple Line |
arXiv_0765.png | This multiple line chart is titled "Angle Error Comparison: Sedan vs Sports Coupe". The x-axis shows iteration from 20 to 80, the y-axis shows angle error (degrees) ranging from 0 to 100. Four conditions are compared as indicated in the legend: Sedan (Smoothed), Sports Coupe (Smoothed), Sedan (Raw), and Sports Coupe (R... | The Sedan (smoothed) shows a significant increase at the beginning of the iteration process, followed by a decline, before stabilizing at a low level. In contrast, the Sports Coupe (smoothed) already startet high and then had a strong decrease. After a few peaks it also stabilizes at a low level. Both "raw" conditions ... | Line | Multiple Line |
springer_4000 copy 4.png | This grouped bar chart is titled "BX Trials". The x-axis shows two age groups: 5-year-olds and 9-year-olds, and the y-axis shows accuracy ranging from 0 to 1. The chart compares two conditions: "Alone" and "Social". The legend distinguishes the two conditions: "Alone" is marked blue and "Social" is marked yellow. Grey ... | The 9-year-olds have higher accuracy scores than the 5-year-olds in both conditions. For the 9-year-olds the accuracy score is higher in the condition "Alone", for the 5-year-olds in the condition "Social". The difference of accuracy between the two conditions is greater for the 5-year-olds. The individual accuracy of ... | Bar | Group Bar |
ACM_4102 copy 3.png | This heatmap shows the measures of the intensity of a region from 11:00 to 12:00. The x-axis shows a longitude between 114.06 and 114.16, and the y-axis shows a latitude between 22.53 and 22.61. | The chart shows several high-intensity regions marked in red, between 114.08 to 114.12 longitude and 22.54 to 22.60 latitude. | Heatmap | Heatmap |
arXiv_0094.png | This line chart shows the sharpening parameters of six different Transformers. The y-axis represents the sharpening parameter, ranging from 0.8 to 1.2, and the x-axis lists the six Transformers. | The chart shows that the 'Transformer 2, GIN 0' has the highest sharpening parameters, peaking at 1.2. It is followed by 'Transformer 1, GIN 0', and 'Transformer 4, GIN 0'. The 'Transformer 0, GIN 0' has the lowest sharpening parameters, around 0.8. | Line | Simple Line |
arXiv_0804.png | This horizontal bar chart is not titled. It shows random statements about the use of quantum computing on the y-axis.The x-axis shows numbers from 1 to 4 and the bars are titled "post". | The most common statement was "I hope that my future career will require the use of quantum computing and cybersecurity" with a count of 3.67. The least common responses were "I think quantum computing cybersecurity is boring" and "I do not like using quantum computing and/or cybersecurity to solve problems" with a cou... | Bar | Simple Bar |
arXiv_0747.png | This bar chart is titled 'Accuracy of the Best Model'. The x-axis shows 10 languages, and the y-axis shows success at K ranging from 0.0 to 1.0. | The chart shows most bars exceed 0.85, with Thai reaching perfect accuracy. Crosslingual and average scores are slightly lower but still strong. Overall, the chart suggests minimal variance and high generalizability. | Bar | Simple Bar |
arXiv_0618.png | This is a bar graph titled “Model Comparison on Text Metrics.” The x-axis shows three metrics: Repetition, Word Count, and Overall. The y-axis shows the Score from 0 to 3.5. The legend identifies six models: pink for Gpt3, green-striped for Gpt4, orange for Baiter, teal for Deepseek, and purple-striped for Mixtral. | The graph compares models on three metrics. Gpt4 and Baiter perform highest in Repetition and Overall, while Mixtral scores lowest in Word Count and Overall. Deepseek shows moderate performance across all metrics. | Bar | Group Bar |
extra_0457.png | This pie chart shows the distribution of five categories: Top Predators, Herbivores & Detritivores, Omnivores, Mid-level Carnivores, and High-level Carnivores. Each category is represented by one segment of the pie, with the percentage labelled. | Mid-level carnivores dominate at 39%, followed by herbivores & detritivores (33%) and high-level carnivores (18%). Top predators account for 10%, while omnivores are entirely absent. | Pie | Pie |
springer_4063.png | This multiple line chart is titled "LInk 2: Simulation Comaprison lowest stifness (Level-1)". The x-axis represents time in seconds, ranging from 0 to 10. and the y-axis represents the joint trajectory in radians, ranging from -0.1 to 0.6. The different colored lines represent different link configurations: Ref-Link-2,... | The chart shows that the "Ref-Link" has the only one joint trajectory level over time and is linear. The rest increases between 0 and a bit over 1 and is linear after that aswell. PID-2 and PID-SPO-2 increase the fastest and SMC-2 the slowest. | Line | Multiple Line |
1327.png | This box plot figure displays the number of discussions across different time windows, with the x-axis labeled "month index" ranging from -6 to 6. The y-axis represents the "number of discussions," ranging from 0 to 60. Each box plot corresponds to a specific month relative to the setup of a Sponsor account, with color... | The median values of month index -1, 0, and 1 are higher than others. | Boxplot | Simple Boxplot |
springer_2557 copy.png | This bar chart shows the Frequency on the y-axis, ranging from 0 to 0.3, against the MRVBF on the x-axis, ranging from 0 to 6. | The chart shows a concentrated distribution between 0 and 4 MRVBF with a Frequency peak at over 0.3. | Bar | Simple Bar |
1746.png | This gropued bar chart compares the distribution of YouTube videos posted in 2015 with videos tagged #StayHome #WithMe posted from March 11 to May 15, 2020. The x-axis represents various video categories, such as Music, Entertainment, Gaming, People & Blogs, and more. The y-axis shows the percentage of videos in each c... | In comparison, there are more videos in the categories of Entertainment, People & Blogs, How-to & Style, and Education in #StayHome #WithMe than the overall distribution of YouTube videos in 2015. | Bar | Group Bar |
ArXiv_3rd_447.png | This grouped bar chart is titled "Scenario 2a", it shows the confidence interval length ratio on the y-axis in the range of 0.0 to 2.0, against 5 labeled set sizes on the x-axis from 1000 to 5000. 3 conditions are compared as seen in the legend: method, PPI, PPIa, and CC. | The chart shows that the "PPI" method consistently produces the highest confidence intervals across all labeled set sizes, followed by the "PPIa" method. The "CC" method shows the lowest and the same confidence interval length ratios (0.8) across different labeled set sizes. With the labeled set size increases, the co... | Bar | Group Bar |
extra_0353.png | This heatmap shows predicted labels on the x-axis and True Labels on the y-axis. Both axes have two categories of labels: “Bad” and “Good classes. Cell values represent counts. | The plot shows that classification is highly accurate for the "Good" class (10993 correctly classified and 11 wrongly classified), but shows reduced accuracy for the "Bad" class, with 3873 correctly classified and 75 misclassified. | Heatmap | Heatmap |
ACM_1853.png | This scatter plot with error bars shows the 95% confidence interval for "FPRDifference (from Newcombe Hybrid Score Method" and "AUC Difference (from bootstrapping)". The y-axis represents the score, ranging from -0.025 to 0.150. | The plot shows that FPRDifference has a higher confidence interval than AUCDifferenece. | Scatter | Scatter plot with error bars |
springer_3920 copy.png | This multiple line chart shows the relationship between normalized intensity SG on the y-axis, ranging from 0 to 1, and the wavelength on the x-axis, ranging from 500 to 580 nm. The chart includes four lines representing different conditions: "Dye Initial", "Dye 120h 160 °C", "Particles Initial", and "Particles 120h 16... | The chart shows that all four conditions follow the same pattern, they have a peak in normalized intensity SG when the wavelength is 530 nm. The condition 'Dye Initial' has the lowest normalized intensity SG (0.1), and the condition 'Particles 120h 160 °C' reached around 0.9 in normalized intensity SG. The conditions '... | Line | Multiple Line |
springer_2834 copy.png | This boxplot represents the OM in % ranging from 1.5 to 3.0 on the y-axis and four different conditions on the x-axis: LOB, MOB, HIB and UNB. Each boxplot shows a different category and is represented in a different colour. | The plot shows that the UNB condition has the highest median and the HIB condition shows the widest range, indicating greater variability in the model's predictions compared to the other conditions. The HIB condition has the lowest median and the LOB condition has the narrowest range, suggesting less variability in the... | Boxplot | Grouped Boxplot |
springer_4106.png | This scatter plot with regressin line is titled "(b) Percentage of Artemisia populations". The y-axis shows the Artemisia percentage, in range of 0 to 100. The x-axis shows Slope in degrees in range of 10 to 90. Two conditions are compared as indicated in the legend: Dry, Sllight Wet and Wet. | The plot suggests that al three conditions have a similar spread of points. The regression line suggests that over 50% of plants is Artemisia when the slope is more than 40 degrees. The wet condition has the least wide spread. | Scatter | Scatter plot with regression line |
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