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The dataset generation failed
Error code: DatasetGenerationError
Exception: KeyError
Message: 'png'
Traceback: Traceback (most recent call last):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1748, in _prepare_split_single
for key, record in generator:
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 797, in wrapped
for item in generator(*args, **kwargs):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 126, in _generate_examples
example[field_name] = {"path": example["__key__"] + "." + field_name, "bytes": example[field_name]}
KeyError: 'png'
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1524, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1099, in stream_convert_to_parquet
builder._prepare_split(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1627, in _prepare_split
for job_id, done, content in self._prepare_split_single(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1784, in _prepare_split_single
raise DatasetGenerationError("An error occurred while generating the dataset") from e
datasets.exceptions.DatasetGenerationError: An error occurred while generating the datasetNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
__key__ string | __url__ string | png image | txt string |
|---|---|---|---|
b0f7c03fdd304391a0a5799a98531508_3 | hf://datasets/Timbrt/SciOL-CI@c789a077852c1ea9cc12cc9e4cb637b4cc7266e0/train/shard_0.tar | Figure 4. Each tissue analyzed exhibited a significant decline in vRNA during ART. When cell-associated vRNA levels during the plateau stage (treated 28–64 days) are compared to those from untreated mice, the reduction in vRNA levels were significant in all tissues (p , 0.001). Reductions in cell-associated vRNA levels... | |
b0f7c03fdd304391a0a5799a98531508_4 | hf://datasets/Timbrt/SciOL-CI@c789a077852c1ea9cc12cc9e4cb637b4cc7266e0/train/shard_0.tar | Figure 5. 3B3-PE38 targets and systemically depletes vRNA + cells invivo . Beginning on Day 28 after ART initiation 3B3-PE38 was added to the treatment regimen every other day (7 total doses: 4 at 1 m g/25 g followed by 3 at 5 m g/25 g). The ART only control includes mice treated for 28– 64 days. ( A ) Reductions in ce... | |
b0f7c03fdd304391a0a5799a98531508_5 | hf://datasets/Timbrt/SciOL-CI@c789a077852c1ea9cc12cc9e4cb637b4cc7266e0/train/shard_0.tar | Figure 6. The 3B3-PE38 mediated killing of vRNA producing cells leads to a more rapid reduction in vRNA levels versus ART only. The single Lowess curve for all data points in Fig. 3C (closed symbols; solid line) is graphed together with the combined tissue data for ART + 3B3-PE38 (open symbols; dashed line) to reveal t... | |
d8d05b3ddd964383998c244ddffdd6bc_0 | hf://datasets/Timbrt/SciOL-CI@c789a077852c1ea9cc12cc9e4cb637b4cc7266e0/train/shard_0.tar | Figure 1. Study Area – Maharashtra | |
d8d05b3ddd964383998c244ddffdd6bc_1 | hf://datasets/Timbrt/SciOL-CI@c789a077852c1ea9cc12cc9e4cb637b4cc7266e0/train/shard_0.tar | Figure 2. Flowchart of Methodology | |
d8d05b3ddd964383998c244ddffdd6bc_2 | hf://datasets/Timbrt/SciOL-CI@c789a077852c1ea9cc12cc9e4cb637b4cc7266e0/train/shard_0.tar | Table 1 . Standard Precipitation | |
d8d05b3ddd964383998c244ddffdd6bc_3 | hf://datasets/Timbrt/SciOL-CI@c789a077852c1ea9cc12cc9e4cb637b4cc7266e0/train/shard_0.tar | Figure 3.Graph Showing Number of Drought Occurred in Grid Number 164 (18.83N,76.108E) | |
d8d05b3ddd964383998c244ddffdd6bc_4 | hf://datasets/Timbrt/SciOL-CI@c789a077852c1ea9cc12cc9e4cb637b4cc7266e0/train/shard_0.tar | Figure 4.Graph Showing Number of Drought Occurred in Grid Number 166 | |
d8d05b3ddd964383998c244ddffdd6bc_5 | hf://datasets/Timbrt/SciOL-CI@c789a077852c1ea9cc12cc9e4cb637b4cc7266e0/train/shard_0.tar | Figure 8.Persistence Severity Graph for the grid 164(18.83N, | |
d8d05b3ddd964383998c244ddffdd6bc_6 | hf://datasets/Timbrt/SciOL-CI@c789a077852c1ea9cc12cc9e4cb637b4cc7266e0/train/shard_0.tar | Figure 5.Graph showing persistence of drought in grid 164 (18.83N, 76.108E) | |
d8d05b3ddd964383998c244ddffdd6bc_7 | hf://datasets/Timbrt/SciOL-CI@c789a077852c1ea9cc12cc9e4cb637b4cc7266e0/train/shard_0.tar | Figure 6.Graph showing persistence of drought in grid 166(18.83N,76.108) | |
d8d05b3ddd964383998c244ddffdd6bc_8 | hf://datasets/Timbrt/SciOL-CI@c789a077852c1ea9cc12cc9e4cb637b4cc7266e0/train/shard_0.tar | Figure 7.Persistence Severity Graph for the grid 166 (18.83N,76.108) | |
d8d05b3ddd964383998c244ddffdd6bc_9 | hf://datasets/Timbrt/SciOL-CI@c789a077852c1ea9cc12cc9e4cb637b4cc7266e0/train/shard_0.tar | Figure 9. Interpolated SPI maps of July 2001, April 2009, and July 2002 | |
d8d05b3ddd964383998c244ddffdd6bc_10 | hf://datasets/Timbrt/SciOL-CI@c789a077852c1ea9cc12cc9e4cb637b4cc7266e0/train/shard_0.tar | Figure 10 (a).Interpolated EDI maps for the year 2007 and 2002 (b)Interpolated EDI map for the year | |
d8d05b3ddd964383998c244ddffdd6bc_11 | hf://datasets/Timbrt/SciOL-CI@c789a077852c1ea9cc12cc9e4cb637b4cc7266e0/train/shard_0.tar | Figure 11.Area under drought as per SPI and EDI for Deccan Plateau | |
d8d05b3ddd964383998c244ddffdd6bc_12 | hf://datasets/Timbrt/SciOL-CI@c789a077852c1ea9cc12cc9e4cb637b4cc7266e0/train/shard_0.tar | Figure 12. SPI map of October 2000 was compared with Figure 13.XOR | |
d8d05b3ddd964383998c244ddffdd6bc_13 | hf://datasets/Timbrt/SciOL-CI@c789a077852c1ea9cc12cc9e4cb637b4cc7266e0/train/shard_0.tar | Figure 14(a).VCI maps for the year 2002 and 2010 (b)TCI maps for the year 2002 and 2010 (c)VHI maps for the year 2002 and 2010 (d) SASI maps for the year 2002 and | |
d8d05b3ddd964383998c244ddffdd6bc_14 | hf://datasets/Timbrt/SciOL-CI@c789a077852c1ea9cc12cc9e4cb637b4cc7266e0/train/shard_0.tar | Figure 15.Area under drought as observed by different indices for year (a) 2002, and (b) | |
72d8d410909a4e11b2603bea5d7c5a17_0 | hf://datasets/Timbrt/SciOL-CI@c789a077852c1ea9cc12cc9e4cb637b4cc7266e0/train/shard_0.tar | Table 1. Parameter setting of the functions for the IPMA. | |
72d8d410909a4e11b2603bea5d7c5a17_1 | hf://datasets/Timbrt/SciOL-CI@c789a077852c1ea9cc12cc9e4cb637b4cc7266e0/train/shard_0.tar | Table 2. Comparison performance of the IPMA in the ten functions. | |
6d5df8f446d3401588d2ccd3065b76ed_0 | hf://datasets/Timbrt/SciOL-CI@c789a077852c1ea9cc12cc9e4cb637b4cc7266e0/train/shard_0.tar | Figure 1. A high-resolution composite MODIS image of the semi- transparent cirrus case that occurred on 25 January 2010 located over north-east Scotland. The latitude and longitude grid is super- imposed on the image showing latitude 58 to 60 ◦ (left side) and longitude − 8 to 0 ◦ (bottom). The composite image was form... | |
6d5df8f446d3401588d2ccd3065b76ed_1 | hf://datasets/Timbrt/SciOL-CI@c789a077852c1ea9cc12cc9e4cb637b4cc7266e0/train/shard_0.tar | Figure 2. The ensemble model as a function of ice crystal maximum dimension, D max . The first element of the model is the hexagonal ice column of aspect ratio unity (first top left), followed by the 6- branched bullet rosette (top centre), the 3-monomer hexagonal ice aggregate (top right), 5-monomer ice aggregate (fir... | |
6d5df8f446d3401588d2ccd3065b76ed_2 | hf://datasets/Timbrt/SciOL-CI@c789a077852c1ea9cc12cc9e4cb637b4cc7266e0/train/shard_0.tar | Figure 3. The ensemble model area ratio, A r , as a function of ice crystal diameter or D max . The key is shown on the upper right-hand side of the figure. The members of the ensemble model are repre- sented by the filled cyan circles. The in situ observations are from Field et al. (2008) (red lines), where the plus a... | |
6d5df8f446d3401588d2ccd3065b76ed_3 | hf://datasets/Timbrt/SciOL-CI@c789a077852c1ea9cc12cc9e4cb637b4cc7266e0/train/shard_0.tar | Table 1. The bulk values of < β ext >, < ω 0 >and (cid:104) g (cid:105) , calculated at the wavelength 0.865µm, for each distortion, assumed to have val- ues of 0, 0.15, 0.25 and 0.4 plus spherical air bubble inclusions (Full). | |
6d5df8f446d3401588d2ccd3065b76ed_4 | hf://datasets/Timbrt/SciOL-CI@c789a077852c1ea9cc12cc9e4cb637b4cc7266e0/train/shard_0.tar | Figure 4. (a) The decadal logarithm of the ensemble model nor- malised scattering phase function as a function of scattering an- gle assuming a variety of distortions. The model cases shown are the pristine (black), slightly distorted (red), moderately distorted (dashed blue) and fully distorted with spherical air bubb... | |
6d5df8f446d3401588d2ccd3065b76ed_5 | hf://datasets/Timbrt/SciOL-CI@c789a077852c1ea9cc12cc9e4cb637b4cc7266e0/train/shard_0.tar | Figure 5. The scattering coefficient per particle (m − 2 ) as a function of ice crystal maximum dimension, D max . The PSD was generated assuming IWC and in-cloud temperature values of 0.01gm − 3 and − 50 ◦ C, | |
6d5df8f446d3401588d2ccd3065b76ed_6 | hf://datasets/Timbrt/SciOL-CI@c789a077852c1ea9cc12cc9e4cb637b4cc7266e0/train/shard_0.tar | Figure 6. The UKV-model-predicted field of the water vapour mix- ing ratio ( Q v ) on 25 January 2010 at 13:00UTC, between latitudes 57.8 and 59.7 ◦ and longitudes − 5.3 and − 1.8 ◦ . The units of Q v are KgKg − 1 . The PARASOL pixels are represented by the open circles and the aircraft track is represented by the soli... | |
6d5df8f446d3401588d2ccd3065b76ed_7 | hf://datasets/Timbrt/SciOL-CI@c789a077852c1ea9cc12cc9e4cb637b4cc7266e0/train/shard_0.tar | Figure 7. (a) The lidar-derived cloud volume extinction coefficient as a function of altitude (m) and time in units of hours after mid- night (UTC). The colour bar on the right-hand side of the figure indicates values of the cloud volume extinction coefficient in units of m − 1 , and the solid line represents the aircr... | |
6d5df8f446d3401588d2ccd3065b76ed_8 | hf://datasets/Timbrt/SciOL-CI@c789a077852c1ea9cc12cc9e4cb637b4cc7266e0/train/shard_0.tar | Figure 8. A comparison between the retrievals, dropsonde measurements, in situ measurements and NWP model predictions of RH i plotted against the pressure (hPa) for two different locations. (a) The pixel located at longitude − 3.84 and latitude 59.14 ◦ and (b) the pixel located at longitude − 3.20 and latitude 57.97 ◦ ... | |
6d5df8f446d3401588d2ccd3065b76ed_9 | hf://datasets/Timbrt/SciOL-CI@c789a077852c1ea9cc12cc9e4cb637b4cc7266e0/train/shard_0.tar | Figure 9. The PARASOL estimates of ensemble model randomisations (based on minimised RMSE) and retrievals of optical thickness as a function of latitude and longitude. (a) The estimated ice crystal randomisation, where the indeterminate results are shown by the black squares, the most randomised phase functions (distor... | |
6d5df8f446d3401588d2ccd3065b76ed_10 | hf://datasets/Timbrt/SciOL-CI@c789a077852c1ea9cc12cc9e4cb637b4cc7266e0/train/shard_0.tar | Figure 10. Differences between the directionally averaged (< S >) and directional ( S(θ) ) spherical albedos as a function of scattering angle at two pixel locations. (a) The spherical albedo differences for the pixel located at 59.03 ◦ and longitude − 3.62 ◦ , assuming the pristine ensemble model (dist = 0) (open red ... | |
6d5df8f446d3401588d2ccd3065b76ed_11 | hf://datasets/Timbrt/SciOL-CI@c789a077852c1ea9cc12cc9e4cb637b4cc7266e0/train/shard_0.tar | Table 2. The Levene test statistic, W , applied to test homogeneity of variances in spherical albedo differences between two groups of scattering phase function models for each set of pixels. In the table, the two phase function models are represented for each set of pixels by their assumed distortion values, referred ... | |
6d5df8f446d3401588d2ccd3065b76ed_12 | hf://datasets/Timbrt/SciOL-CI@c789a077852c1ea9cc12cc9e4cb637b4cc7266e0/train/shard_0.tar | Table 3. Same definitions as Table 2 but with the Levene test statis- tic applied to a group of seven pixels, where the fully randomised model phase function was found to best fit spherical albedo dif- ferences using minimised RMSE values. The model pair tests are between all other scattering phase function models and ... | |
6d5df8f446d3401588d2ccd3065b76ed_13 | hf://datasets/Timbrt/SciOL-CI@c789a077852c1ea9cc12cc9e4cb637b4cc7266e0/train/shard_0.tar | Figure 11. Associating the PARASOL estimations of shape of the scattering phase function at each pixel to the NWP-model-predicted field of RH i . (a) The estimated shape of the scattering phase func- tion; the yellow squares are as previously defined in Fig. 9. The brown squares represent those PARASOL pixels where no ... | |
6d5df8f446d3401588d2ccd3065b76ed_14 | hf://datasets/Timbrt/SciOL-CI@c789a077852c1ea9cc12cc9e4cb637b4cc7266e0/train/shard_0.tar | Figure 12. The percent (%) probability of the penetration depth of solar radiation at 0.865µm as a function of distance from the cloud top (km), and cloud optical depth for (a) forward-scattered and (b) backward-scattered solar radiation in the principal plane, respec- tively. The percent probability of penetration is ... | |
05a6195fde6d47a289ae059b51bed9c9_0 | hf://datasets/Timbrt/SciOL-CI@c789a077852c1ea9cc12cc9e4cb637b4cc7266e0/train/shard_0.tar | Table 1. Percent amino acid identity of Ssa | |
05a6195fde6d47a289ae059b51bed9c9_1 | hf://datasets/Timbrt/SciOL-CI@c789a077852c1ea9cc12cc9e4cb637b4cc7266e0/train/shard_0.tar | Figure 1. RT-PCR analysis of Hsp70 isoforms expression in Yarrowia lipolytica . Total RNA was isolated from a wild-type Y. lipolytica strain grown to early exponential phase at 28 u C (left panel), followed by one hour shift at 42 u C (middle panel) or left to grow to stationary phase (right panel). The expression of e... | |
05a6195fde6d47a289ae059b51bed9c9_2 | hf://datasets/Timbrt/SciOL-CI@c789a077852c1ea9cc12cc9e4cb637b4cc7266e0/train/shard_0.tar | Table 2. Growth rates and prion phenotypes of strains expressing individual Ssa | |
05a6195fde6d47a289ae059b51bed9c9_3 | hf://datasets/Timbrt/SciOL-CI@c789a077852c1ea9cc12cc9e4cb637b4cc7266e0/train/shard_0.tar | Figure 2. Growth of S.cerevisiae expressing individual Ssa proteins. G402 strains A1–A8 [ psi 2 ] cells were streaked onto YPAD plates and incubated at the indicated temperature for 2–4 days as indicated. Strains are as indicated on first panel, pattern of strains is the same on each plate. | |
05a6195fde6d47a289ae059b51bed9c9_4 | hf://datasets/Timbrt/SciOL-CI@c789a077852c1ea9cc12cc9e4cb637b4cc7266e0/train/shard_0.tar | Figure 3. Thermoresistance properties of strains expressing individual Ssaps. The indicated strains were grown to early exponential phase at 28 u C then shifted at 52 u C. (A, B) Aliquots were periodically removed and cell viability was assessed by plating tenfold serial dilutions onto YPAD plates. (C) The viability of... | |
05a6195fde6d47a289ae059b51bed9c9_5 | hf://datasets/Timbrt/SciOL-CI@c789a077852c1ea9cc12cc9e4cb637b4cc7266e0/train/shard_0.tar | Figure 4. Influence of Ssa proteins on refolding of luciferase. Cultures of strains expressing a thermolabile luciferase and individual Ssa proteins (indicated at bottom) were shifted from 30 u C to 37 u C for 30 minutes and then to 42 u C for one hour. Luciferase activity, expressed as a fraction of pre-heat shock act... | |
05a6195fde6d47a289ae059b51bed9c9_6 | hf://datasets/Timbrt/SciOL-CI@c789a077852c1ea9cc12cc9e4cb637b4cc7266e0/train/shard_0.tar | Figure 5. [ PSI + ] prion phenotype of cells expressing different Ssa proteins. (A) Patches of G402 strains A1-A8, as indicated, were grown over night at 30 u on 1/2YPD and then replica-plated onto 1/2YPD plates and SD plates without adenine (–Ade), which were then incubated at the indicated temperatures. Plates at 25 ... | |
05a6195fde6d47a289ae059b51bed9c9_7 | hf://datasets/Timbrt/SciOL-CI@c789a077852c1ea9cc12cc9e4cb637b4cc7266e0/train/shard_0.tar | Figure 7. SDD-AGE analysis of Sup35p polymers in G402 [ PSI + ] cells. After inducing expression of Sup35-GFP fusion protein (NGMC) for 15 hours, log phase cells were harvested and cell lysates were incubated in SDS to dissolve all but the prion polymers. The lysates were then separated on agarose gels and immunoblotte... | |
05a6195fde6d47a289ae059b51bed9c9_8 | hf://datasets/Timbrt/SciOL-CI@c789a077852c1ea9cc12cc9e4cb637b4cc7266e0/train/shard_0.tar | Figure 6. Strains expressing individual Ssaps do not generate different prion strains. (A) The wild-type 74D-694 [ psi 2 ][ pin 2 ] strain was transformed with crude extracts from the A1 [ PSI + ] and A4 [ PSI + ] strains as described in Materials and Methods. Induced 74D-694 [ PSI + ] colonies were isolated and their ... | |
05a6195fde6d47a289ae059b51bed9c9_9 | hf://datasets/Timbrt/SciOL-CI@c789a077852c1ea9cc12cc9e4cb637b4cc7266e0/train/shard_0.tar | Figure 8. Aggregation of Sup35-GFP in vivo. (A) Fluorescent images of cells from cultures used for the SDD-AGE experiments were taken at the same time cells were processed for SDD-AGE. (B) Images of cells from the same cultures after incubation for an additional six days at 25 u in the same medium. Strains A1-A8 are in... | |
05a6195fde6d47a289ae059b51bed9c9_10 | hf://datasets/Timbrt/SciOL-CI@c789a077852c1ea9cc12cc9e4cb637b4cc7266e0/train/shard_0.tar | Figure 9. [ URE3 ] prion phenotype of cells expressing different Ssa proteins. (A) Patches of 1161 strains A1-A8, as indicated (see Figure 5A), were grown on 1/2YPD and replica-plated onto 1/2YPD and –Ade plates as in Figure 5A. Plates were incubated at the indicated temperature for two days. Cells expressing Ssa6p are... | |
05a6195fde6d47a289ae059b51bed9c9_11 | hf://datasets/Timbrt/SciOL-CI@c789a077852c1ea9cc12cc9e4cb637b4cc7266e0/train/shard_0.tar | Figure 10. Efficiency of [ URE3 ] curing by elevated Ydj1p depends on Hsp70 isoform. Cultures of 1161 [ URE3 ] strains A1–A8 (except A6, which cannot propagate [ URE3 ]), as indicated, were split into non-inducing (-Gal) and Ydj1p inducing ( + Gal) conditions and grown to OD 600nm =1–2. Aliquots were diluted to obtain ... | |
05a6195fde6d47a289ae059b51bed9c9_12 | hf://datasets/Timbrt/SciOL-CI@c789a077852c1ea9cc12cc9e4cb637b4cc7266e0/train/shard_0.tar | Figure 11. CFTR degradation monitored by cycloheximide-chase. The indicated strains, either [ psi 2 ] (triangles) or [ PSI + ] (squares), were grown to early log phase at 28 u C, then cycloheximide was added at a final concentration of 200 m g/mL. Aliquots were taken periodically and total protein extracts were prepare... | |
05a6195fde6d47a289ae059b51bed9c9_13 | hf://datasets/Timbrt/SciOL-CI@c789a077852c1ea9cc12cc9e4cb637b4cc7266e0/train/shard_0.tar | Figure S2 CFTR degradation monitored by cycloheximide- chase. Representative gels for the quantifications shown in Figure 11 (see Material and Methods for details). Immunoblots against the endoplasmic reticulum protein BiP were used as loading controls. Figure S3 Steady-state protein levels in strains expressing indivi... | |
b2882e8dfb034b2f816b92d926d22abd_0 | hf://datasets/Timbrt/SciOL-CI@c789a077852c1ea9cc12cc9e4cb637b4cc7266e0/train/shard_0.tar | Figure 1. Annual- and zonal-mean surface temperature (a) and precipitation (b) in the GHG case (magenta) and LCTC case | |
b2882e8dfb034b2f816b92d926d22abd_1 | hf://datasets/Timbrt/SciOL-CI@c789a077852c1ea9cc12cc9e4cb637b4cc7266e0/train/shard_0.tar | Figure 2. Annual-mean climatology in the GHG run (left column) and its change in the LCTC case (right column) of (a, b) surface temperature (shading) and 900hPa wind (arrows), (c, d) precipitation, (e, f) cloud fraction, and (g, h) eddy kinetic energy (shading) and zonal wind at 700hPa (contours; contour intervals 4ms ... | |
b2882e8dfb034b2f816b92d926d22abd_2 | hf://datasets/Timbrt/SciOL-CI@c789a077852c1ea9cc12cc9e4cb637b4cc7266e0/train/shard_0.tar | Figure 3. Monthly-mean surface temperature during the warmest month at each grid point in the GHG simulation (a) and its change in the LCTC simulation (b) . (c, d) Same as in (a, b) but for the coldest month. (e) Annual-mean diurnal range in surface temperature, defined as the difference between daily maxima and minima... | |
b2882e8dfb034b2f816b92d926d22abd_3 | hf://datasets/Timbrt/SciOL-CI@c789a077852c1ea9cc12cc9e4cb637b4cc7266e0/train/shard_0.tar | Figure 4. Terms in the global-mean atmospheric energy budget (Eq. 1) for (a) the GHG simulation and (b) change in the LCTC case (LCTC − GHG). The black bars are the atmospheric heating for both | |
b2882e8dfb034b2f816b92d926d22abd_4 | hf://datasets/Timbrt/SciOL-CI@c789a077852c1ea9cc12cc9e4cb637b4cc7266e0/train/shard_0.tar | Figure 5. Change in annual-mean surface temperature (shading) and 900hPa wind (arrows) between the GHG run and the fixed-SST simulation with (a) reduced CO 2 , (b) reduced cloud albedo and (c) change is SST pattern, as well as (d) the sum of all | |
b2882e8dfb034b2f816b92d926d22abd_5 | hf://datasets/Timbrt/SciOL-CI@c789a077852c1ea9cc12cc9e4cb637b4cc7266e0/train/shard_0.tar | Figure 6. As in Fig. 5 but for annual-mean precipitation. | |
b2882e8dfb034b2f816b92d926d22abd_6 | hf://datasets/Timbrt/SciOL-CI@c789a077852c1ea9cc12cc9e4cb637b4cc7266e0/train/shard_0.tar | Figure 7. Change in annual-mean net surface energy flux (shading, defined positive downwards) and 900hPa wind (arrows) between the GHG run and the fixed-SST run with reduced CO 2 | |
fec0755daed7483c9caeb8b2452e2ae9_0 | hf://datasets/Timbrt/SciOL-CI@c789a077852c1ea9cc12cc9e4cb637b4cc7266e0/train/shard_0.tar | Fig. 1. The structure of the proposed study | |
fec0755daed7483c9caeb8b2452e2ae9_1 | hf://datasets/Timbrt/SciOL-CI@c789a077852c1ea9cc12cc9e4cb637b4cc7266e0/train/shard_0.tar | Theoretical framework Evaluating | |
fec0755daed7483c9caeb8b2452e2ae9_2 | hf://datasets/Timbrt/SciOL-CI@c789a077852c1ea9cc12cc9e4cb637b4cc7266e0/train/shard_0.tar | Impact of the exploratory factor group on the profitability of the tourist enterprise in BinhDinh | |
fec0755daed7483c9caeb8b2452e2ae9_3 | hf://datasets/Timbrt/SciOL-CI@c789a077852c1ea9cc12cc9e4cb637b4cc7266e0/train/shard_0.tar | The result of extracted variance analysis of influencing factors group Initial Eigenvalues Com. | |
fec0755daed7483c9caeb8b2452e2ae9_4 | hf://datasets/Timbrt/SciOL-CI@c789a077852c1ea9cc12cc9e4cb637b4cc7266e0/train/shard_0.tar | KMO and Bartlett's Test | |
fec0755daed7483c9caeb8b2452e2ae9_5 | hf://datasets/Timbrt/SciOL-CI@c789a077852c1ea9cc12cc9e4cb637b4cc7266e0/train/shard_0.tar | The result of correlation between influence factors test Kaiser-Meyer-Olkin Measure of Sampling Adequacy. | |
fec0755daed7483c9caeb8b2452e2ae9_6 | hf://datasets/Timbrt/SciOL-CI@c789a077852c1ea9cc12cc9e4cb637b4cc7266e0/train/shard_0.tar | Regression analysis of factors affecting ROA Model | |
fec0755daed7483c9caeb8b2452e2ae9_7 | hf://datasets/Timbrt/SciOL-CI@c789a077852c1ea9cc12cc9e4cb637b4cc7266e0/train/shard_0.tar | Unstandardized Coefficients | |
fec0755daed7483c9caeb8b2452e2ae9_8 | hf://datasets/Timbrt/SciOL-CI@c789a077852c1ea9cc12cc9e4cb637b4cc7266e0/train/shard_0.tar | Regression analysis of factors affecting ROE Unstandardized Model | |
c717ffb92ca44b8a962a6cf25083e318_0 | hf://datasets/Timbrt/SciOL-CI@c789a077852c1ea9cc12cc9e4cb637b4cc7266e0/train/shard_0.tar | Figure 1. The variability in understory vegetation at Howard Springs OzFlux site, Northern Territory, Australia. The months from late October to early November are when growth in the understory begins, which continues on through the wet season until the end of March and start of April, when the understory grasses senes... | |
c717ffb92ca44b8a962a6cf25083e318_1 | hf://datasets/Timbrt/SciOL-CI@c789a077852c1ea9cc12cc9e4cb637b4cc7266e0/train/shard_0.tar | Table 1. List of instrumentation installed on the ecosystem and understory flux towers at the Howard Springs OzFlux site; where “ u ” is the along wind component, “ v ” is the across wind component and “ w ” is the vertical wind component of wind velocity in 3-dimensional space, K ↓ and L ↓ refer to incoming and K ↑ an... | |
c717ffb92ca44b8a962a6cf25083e318_2 | hf://datasets/Timbrt/SciOL-CI@c789a077852c1ea9cc12cc9e4cb637b4cc7266e0/train/shard_0.tar | Figure 2. Co-spectra plot of vertical wind ( w ) against fluxes of car- bon ( w -C), water ( w -H) and energy ( w - T ) for Howard Springs un- derstory tower for the (a) dry season and (b) wet season. Co-spectra are grouped into 50 exponentially spaced frequency bins and repre- sent times from 1200 to 1400, which are a... | |
c717ffb92ca44b8a962a6cf25083e318_3 | hf://datasets/Timbrt/SciOL-CI@c789a077852c1ea9cc12cc9e4cb637b4cc7266e0/train/shard_0.tar | Figure 3. Net Ecosystem Productivity (NEP) for savanna ecosystem (23m tower) and understory (5m tower) components at the Howard Springs OzFlux site, Northern Territory, Australia from September 2012 to October 2014. Data shown are daily NEP totals with a 10- day running mean to aid visualisation. Orange arrows represen... | |
c717ffb92ca44b8a962a6cf25083e318_4 | hf://datasets/Timbrt/SciOL-CI@c789a077852c1ea9cc12cc9e4cb637b4cc7266e0/train/shard_0.tar | Figure 4. Respiration ( R ) for savanna ecosystem (23m tower), un- derstory (5m tower) and overstory (difference between 23 and 5m towers) components at the Howard Springs OzFlux site, Northern Territory, Australia from September 2012 to October 2014. Data shown are daily R totals with a 10-day running mean to aid visu... | |
c717ffb92ca44b8a962a6cf25083e318_5 | hf://datasets/Timbrt/SciOL-CI@c789a077852c1ea9cc12cc9e4cb637b4cc7266e0/train/shard_0.tar | Table 3. Seasonal sums and annual mean ( ± SE) of net ecosystem productivity (NEP), respiration ( R ) and gross primary productivity (GPP) calculated for the savanna ecosystem, understory and overstory components at the Howard Springs OzFlux site, Northern Territory, Australia. | |
c717ffb92ca44b8a962a6cf25083e318_6 | hf://datasets/Timbrt/SciOL-CI@c789a077852c1ea9cc12cc9e4cb637b4cc7266e0/train/shard_0.tar | Figure 5. Gross Primary Productivity (GPP) for savanna ecosys- tem (23m tower), understory (5m tower) and overstory (difference between 23 and 5m towers) components at the Howard Springs OzFlux site, Northern Territory, Australia from September 2012 to October 2014. Data shown are daily GPP totals with a 10-day run- ni... | |
c717ffb92ca44b8a962a6cf25083e318_7 | hf://datasets/Timbrt/SciOL-CI@c789a077852c1ea9cc12cc9e4cb637b4cc7266e0/train/shard_0.tar | Table 4. Error estimates for net ecosystem exchange for the ecosystem and understory flux towers at Howard Springs OzFlux site, Northern Territory, Australia. Estimates are given for each year (2012–2014) and are presented as day (D), night (N) and total (T) error estimates in gCm − 2 t − 1 , where t is day, night or y... | |
c717ffb92ca44b8a962a6cf25083e318_8 | hf://datasets/Timbrt/SciOL-CI@c789a077852c1ea9cc12cc9e4cb637b4cc7266e0/train/shard_0.tar | Figure 6. Diurnal ( x axis) fingerprint plot of NEE from the savanna (a) ecosystem (23m tower) and (b) understory (5m tower). Measurements shown are for “wet” and “dry” seasons from September 2012 to October 2014 ( y axis) at the Howard Springs OzFlux site, Northern Territory, Australia. Negative NEE represents the upt... | |
c717ffb92ca44b8a962a6cf25083e318_9 | hf://datasets/Timbrt/SciOL-CI@c789a077852c1ea9cc12cc9e4cb637b4cc7266e0/train/shard_0.tar | Figure 7. Daily variability in radiation ( F n ) and soil moisture (Sws) at the Howard Springs tropical savanna site, Northern Territory, Australia from September 2012 to October 2014. Mean daily F n is shown with a 10-day running mean (green) to aid in visualisa- tion and daily mean variability in Sws fraction are sho... | |
3218213b882f4cdca56351e996db5824_0 | hf://datasets/Timbrt/SciOL-CI@c789a077852c1ea9cc12cc9e4cb637b4cc7266e0/train/shard_0.tar | Table 1. The 11 parameters studied in this paper. Also shown are the default values and the range over which they are varied. ID Name (unit) Description Default Range delt2KF ( ◦ C) Temperature increment at the LCL for KF trigger 0 − 2, 2 cloudrad ( m ) Cloud radius factor in KF 1500 500, 3000 prcpfrac Fraction of avai... | |
3218213b882f4cdca56351e996db5824_1 | hf://datasets/Timbrt/SciOL-CI@c789a077852c1ea9cc12cc9e4cb637b4cc7266e0/train/shard_0.tar | Figure 1. The flowchart highlighting the main components of the methodology. | |
3218213b882f4cdca56351e996db5824_2 | hf://datasets/Timbrt/SciOL-CI@c789a077852c1ea9cc12cc9e4cb637b4cc7266e0/train/shard_0.tar | Figure 2. Histogram of p values from the omnibus tests across all days and response | |
3218213b882f4cdca56351e996db5824_3 | hf://datasets/Timbrt/SciOL-CI@c789a077852c1ea9cc12cc9e4cb637b4cc7266e0/train/shard_0.tar | Figure 3. Estimated regression coefficients (i.e., the sensitivity of the model parameters) with median precipitation of the clusters as the response, after clustering with DBSCAN with various parameter values. The red symbols are 95% simultaneous | |
3218213b882f4cdca56351e996db5824_4 | hf://datasets/Timbrt/SciOL-CI@c789a077852c1ea9cc12cc9e4cb637b4cc7266e0/train/shard_0.tar | Figure 4. Estimated MMR coefficients (i.e., the sensitivity of the model parameters) on three summary measures (minimum, median, maxi- mum) of different cluster features (latitude, longitude, amount of precipitation, and area and orientation of clusters). Eccentricity is not shown (see text). The red symbols are 95% si... | |
2917149633f04c6c9e8bde7636b223b1_0 | hf://datasets/Timbrt/SciOL-CI@c789a077852c1ea9cc12cc9e4cb637b4cc7266e0/train/shard_0.tar | Figure 1 - Skin prick tests | |
2917149633f04c6c9e8bde7636b223b1_1 | hf://datasets/Timbrt/SciOL-CI@c789a077852c1ea9cc12cc9e4cb637b4cc7266e0/train/shard_0.tar | Table 1 Results of skin prick | |
a3ec5144b9744cf099d608cb6a27a499_0 | hf://datasets/Timbrt/SciOL-CI@c789a077852c1ea9cc12cc9e4cb637b4cc7266e0/train/shard_0.tar | Figure 1. The fragment of the morphological | |
a3ec5144b9744cf099d608cb6a27a499_1 | hf://datasets/Timbrt/SciOL-CI@c789a077852c1ea9cc12cc9e4cb637b4cc7266e0/train/shard_0.tar | Figure 2. The fragment of the morphological graph of ODBMS at the middle and lower management | |
a3ec5144b9744cf099d608cb6a27a499_2 | hf://datasets/Timbrt/SciOL-CI@c789a077852c1ea9cc12cc9e4cb637b4cc7266e0/train/shard_0.tar | Table 1. Metric spaces of the morphological graphs of ODBMS at the middle and lower management levels Management | |
a3ec5144b9744cf099d608cb6a27a499_3 | hf://datasets/Timbrt/SciOL-CI@c789a077852c1ea9cc12cc9e4cb637b4cc7266e0/train/shard_0.tar | Table 2. Types of the organizational structures in the BMS for January 1, 2018 Classification features and types of management organizational structures | |
c0a133ada1a24fc4ae6348150c48215f_0 | hf://datasets/Timbrt/SciOL-CI@c789a077852c1ea9cc12cc9e4cb637b4cc7266e0/train/shard_0.tar | Fig 1. Location of study sites in Northwest Costa Rica. Nancite, Cabuyal and Playa Grande serve as nesting groundsfor olive ridley, green and leatherbackturtles respectively. https://doi.org/10.1371/journal.pone.0177256.g001 | |
c0a133ada1a24fc4ae6348150c48215f_1 | hf://datasets/Timbrt/SciOL-CI@c789a077852c1ea9cc12cc9e4cb637b4cc7266e0/train/shard_0.tar | PLOS ONE | https://doi.org/10.1371/journal.pone.0177256 May 18, | |
c0a133ada1a24fc4ae6348150c48215f_2 | hf://datasets/Timbrt/SciOL-CI@c789a077852c1ea9cc12cc9e4cb637b4cc7266e0/train/shard_0.tar | Mean ( ± SD) hatching success, mean ( ± SD) temperature (˚C), mean ( ± SD) daily fluctuation in temperature (˚C), mean ( ± SD) seasonal fluctuation in temperature (˚C) and mean ( ± SD) depth in olive ridley, green and leatherback turtle | |
c0a133ada1a24fc4ae6348150c48215f_3 | hf://datasets/Timbrt/SciOL-CI@c789a077852c1ea9cc12cc9e4cb637b4cc7266e0/train/shard_0.tar | Table 1. Hatching success and thermal conditions of sea turtle nests in North Pacific Costa Rica. | |
c0a133ada1a24fc4ae6348150c48215f_4 | hf://datasets/Timbrt/SciOL-CI@c789a077852c1ea9cc12cc9e4cb637b4cc7266e0/train/shard_0.tar | Table 2. Nesting beaches where we obtained data on nest temperatures and hatching successper season. Information from leatherback, green and olive ridley turtles was collectedat Playa Grande (PG), Cabuyal (CAB) and Nancite (NAN) respectively. Nest temperatures were monitoredwith thermocou- ples and/or | |
c0a133ada1a24fc4ae6348150c48215f_5 | hf://datasets/Timbrt/SciOL-CI@c789a077852c1ea9cc12cc9e4cb637b4cc7266e0/train/shard_0.tar | Fig 2. Thermal conditions in olive ridley, green and leatherback turtle clutches versus nest depth. (a) mean ( ± SE) daily fluctuationin temperature (˚C), (b) mean ( ± SE) seasonalfluctuation (˚C) and (c) mean ( ± SE) temperature (˚C) duringdevelopment. Regressionline corresponds to a logarithmic fit. https://doi.org/1... | |
c0a133ada1a24fc4ae6348150c48215f_6 | hf://datasets/Timbrt/SciOL-CI@c789a077852c1ea9cc12cc9e4cb637b4cc7266e0/train/shard_0.tar | Fig 3. Smooth fits from generalized additive models (GAM) showing additive effect of nest temperature (˚C) on hatching success. (a) olive ridley turtle, (b) green turtle and (c) leatherbackturtle nests. | |
c0a133ada1a24fc4ae6348150c48215f_7 | hf://datasets/Timbrt/SciOL-CI@c789a077852c1ea9cc12cc9e4cb637b4cc7266e0/train/shard_0.tar | Fig 4. Mean hatching successand percentage of clutches of each species versus mean temperature (˚C). (a) Mean hatching success of olive ridley, green and leatherbackturtle clutches per mean temperature (˚C) by 1 (˚C) increments and (b) percentageof clutchesper mean temperature (˚C) by 1 (˚C) increments. Regression line... | |
03fb2142869f406bbd65dd67ff3791d9_0 | hf://datasets/Timbrt/SciOL-CI@c789a077852c1ea9cc12cc9e4cb637b4cc7266e0/train/shard_0.tar | Fig. 1. (A) Cascadia margin turbidite canyons, channels and 1999–2002 core locations. Major canyon/channel systems are outlined in blue. Primary core sites shown with yellow rim, all other 1999–2002 cores are grey. Selected earlier UW and OSU cores shown in white. PC, piston core; BC, box core; KC, kasten core; GC, gra... | |
03fb2142869f406bbd65dd67ff3791d9_1 | hf://datasets/Timbrt/SciOL-CI@c789a077852c1ea9cc12cc9e4cb637b4cc7266e0/train/shard_0.tar | Fig. 2. (A) Shaded perspective view of Hydrate Ridge west basin (HRWB) on the central Oregon margin. The basin is protected on all sides from terrestrial sediment input by structural sills with heights of ∼ 500m to the north, 1800m to the east, and 1200m in the south. (B) Perspective shaded view of bathymetry of the Ro... | |
03fb2142869f406bbd65dd67ff3791d9_2 | hf://datasets/Timbrt/SciOL-CI@c789a077852c1ea9cc12cc9e4cb637b4cc7266e0/train/shard_0.tar | Fig. 3. CT, visible imagery and physical properties from the Hydrate Ridge and Rogue Apron cores, central-southern Cascadia margin. Data from HR cores 56 PC-TC and Rogue cores 31PC-TC are each summarized with a single composite of piston and trigger cores, all 14 C ages from each site are plotted on the representative ... | |
03fb2142869f406bbd65dd67ff3791d9_3 | hf://datasets/Timbrt/SciOL-CI@c789a077852c1ea9cc12cc9e4cb637b4cc7266e0/train/shard_0.tar | Fig. 4. Enhanced CT imagery shown for representative thin turbidites in at Hydrate Ridge and Rogue Apron. CT imagery shown in context in Fig. 3. CT density imagery processed to show approximate sand and silt (orange and yellow); fine silt (orange) and hemipelagic mud (blue). Approximate grain size key shown at bottom. ... | |
03fb2142869f406bbd65dd67ff3791d9_4 | hf://datasets/Timbrt/SciOL-CI@c789a077852c1ea9cc12cc9e4cb637b4cc7266e0/train/shard_0.tar | Fig. 5. (A) Details of events from the surface to T4, Rogue Apron and Klamath Channel, emphasizing small events T2a and T3a. Detailed magnetic susceptibility, gamma density and P wave velocity records and CT imagery reveal fine-grained mud turbidites between T2 and T3, and T3 and T4, which were originally logged as “da... | |
03fb2142869f406bbd65dd67ff3791d9_5 | hf://datasets/Timbrt/SciOL-CI@c789a077852c1ea9cc12cc9e4cb637b4cc7266e0/train/shard_0.tar | Fig. 7. (A) Detailed physical property and CT data from correlated events T5, T5a, T5b, and T5c in a transect from Rogue Apron to the Trinidad Plunge Pool, flattened to regional event T5. This transect shows the southward increase in thickness, density and grain size for regional event T5 and three southern Cascadia be... |
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Scientific Openly-Licensed Publications
This repository contains companion material for the following publication:
Tim Tarsi, Heike Adel, Jan Hendrik Metzen, Dan Zhang, Matteo Finco, Annemarie Friedrich. SciOL and MuLMS-Img: Introducing A Large-Scale Multimodal Scientific Dataset and Models for Image-Text Tasks in the Scientific Domain. WACV 2024.
Please cite this paper if using the dataset, and direct any questions regarding the dataset to Tim Tarsi
Summary
Scientific Openly-Licensed Publications (SciOL) is the largest openly-licensed pre-training corpus for multimodal models in the scientific domain, covering multiple sciences including materials science, physics, and computer science. It consists of over 2.7M scientific scientific publications converted into semi-structured data. SciOL contains over 18 Million figure-caption pairs.
Note: This repository only contains the figures and captions of SciOL. For the textual data see: SciOL-text
Data Format
We provide the data in the webdataset format, e.g., captions in plain text files and group and compress them together with the images. Each tar file contains 1000 images and captions. Corresponding figures and captions have the same filename (excluding extention). We split the data into a train, test and dev set.
Citation
If you use our dataset in your work, please cite our paper:
@InProceedings{Tarsi_2024_WACV,
author = {Tarsi, Tim and Adel, Heike and Metzen, Jan Hendrik and Zhang, Dan and Finco, Matteo and Friedrich, Annemarie},
title = {SciOL and MuLMS-Img: Introducing a Large-Scale Multimodal Scientific Dataset and Models for Image-Text Tasks in the Scientific Domain},
booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)},
month = {January},
year = {2024},
pages = {4560-4571}
}
License
The SciOL corpus is released under the CC BY 4.0 license.
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