cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.zfbc7p
title: Occurrence Download

description: A dataset containing 247 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lasius nearcticus Wheeler, 1906",
 "Country is Canada",
 {
 "not" : {
 "InstitutionCode" : [
 "is one of (iNaturalist)"
 ]
 }
 }
 ]
}

 The dataset includes 247 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007884-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14979368
title: Do pollutants affect cereal crop production?

description:  

This dataset compiles information on environmental pollutants, agricultural production, and demographic indicators across multiple countries and years. It includes records of various pollutants, such as arsenic, measured in tons, alongside crop production values reported in million tons. Additionally, it contains demographic data, including total population, gender distribution, and life expectancy for both men and women.

This structured dataset allows for the analysis of pollution trends and their potential correlations with food production and public health. By providing a comprehensive collection of variables, it serves as a valuable resource for researchers studying environmental and socio-economic interactions.
DOI: 10.5281/zenodo.14979369
title: Do pollutants affect cereal crop production?

description:  

This dataset compiles information on environmental pollutants, agricultural production, and demographic indicators across multiple countries and years. It includes records of various pollutants, such as arsenic, measured in tons, alongside crop production values reported in million tons. Additionally, it contains demographic data, including total population, gender distribution, and life expectancy for both men and women.

This structured dataset allows for the analysis of pollution trends and their potential correlations with food production and public health. By providing a comprehensive collection of variables, it serves as a valuable resource for researchers studying environmental and socio-economic interactions.
DOI: 10.15468/dl.3p2hjh
title: Occurrence Download

description: A dataset containing 7049 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Euonymus japonicus Thunb.)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1945"
 ]
}

 The dataset includes 7049 records from 202 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007816-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/10951025
title: World Stock Prices ( Daily Updating )
DOI: 10.5519/qd.1yubcf4l
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (5585023 records)
DOI: 10.15468/dl.rcnfr3
title: Occurrence Download

description: A dataset containing 68797 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Winteraceae"
 ]
}

 The dataset includes 68797 records from 507 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007880-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.28553516
title: Deciphering the Exploring Distinct Sleep-Related Hearing lmpairment: Plasma Proteome as a Key to Targeted Therapeutics

description: The file contains all the original data and related pictures and tables, EXCEL contains the sensitivity test data of the subtable, MR Results and GWAS entries, and the related graphical display is also displayed in Word.
DOI: 10.48742/fau.vy7y-h687
title: Dataset of Radar Data on Human Activity Recognition Collected with a Multistatic Radar Network

description:  The dataset contains radar data on human activity recognition acquired in a measurement campaign at the Institute of Microwaves and Photonics of the Friedrich-Alexander-Universität Erlangen-Nürnberg.

The .zip-file “Radar_Data_of_Subjects” comprises 15 subfolders, each for one participant of the measurement campaign. Each measurement per participant is stored in a .mat-file, containing two four-dimensional radar cubes.
DOI: 10.5281/zenodo.14963725
title: A Clinical Chemical Atlas of Xenobiotic Toxicity for the Sprague-Dawley Rat

description: The Consortium for Metabonomic Toxicology (COMET) studies were designed to model metabolic responses to organ- and mechanism-specific toxins to predict acute drug toxicity in rats. A range of clinical chemical parameters were measured in 7-day toxicology studies for 86 toxins eliciting a range of organ- and mechanism-specific effects. Additionally, 21 surgical or physiological stressors were evaluated to identify physiological or metabolic responses that might confound the interpretation of observed toxicity profiles. From these studies on a total of 3473 rats measured at six pharmaceutical companies, we provide a set of 12 serum and 5 urine physical and clinical chemistry parameters. Samples were collected at 24 h, 48 h and 168 h post-dose for each animal and are presented as a downloadable database file. We also summarise the main observations based on the group response at the level of the individual toxin. We demonstrate that correlations between parameters, such as serum bilirubin and aspartate aminotransferase (AST), to provide a more nuanced profile of organ-specific toxicity than consideration of individual parameters. In addition, we highlight the variability in the measured parameters across the dataset attributable to inter-laboratory differences, and the heterogeneity of metabolic responses to particular compounds or differences in temporal patterns of response. This clinical chemistry atlas of toxicity serves as a valuable reference tool for evaluating the potential toxicity of novel drug candidates.
DOI: 10.5281/zenodo.14963726
title: A Clinical Chemical Atlas of Xenobiotic Toxicity for the Sprague-Dawley Rat

description: The Consortium for Metabonomic Toxicology (COMET) studies were designed to model metabolic responses to organ- and mechanism-specific toxins to predict acute drug toxicity in rats. A range of clinical chemical parameters were measured in 7-day toxicology studies for 86 toxins eliciting a range of organ- and mechanism-specific effects. Additionally, 21 surgical or physiological stressors were evaluated to identify physiological or metabolic responses that might confound the interpretation of observed toxicity profiles. From these studies on a total of 3473 rats measured at six pharmaceutical companies, we provide a set of 12 serum and 5 urine physical and clinical chemistry parameters. Samples were collected at 24 h, 48 h and 168 h post-dose for each animal and are presented as a downloadable database file. We also summarise the main observations based on the group response at the level of the individual toxin. We demonstrate that correlations between parameters, such as serum bilirubin and aspartate aminotransferase (AST), to provide a more nuanced profile of organ-specific toxicity than consideration of individual parameters. In addition, we highlight the variability in the measured parameters across the dataset attributable to inter-laboratory differences, and the heterogeneity of metabolic responses to particular compounds or differences in temporal patterns of response. This clinical chemistry atlas of toxicity serves as a valuable reference tool for evaluating the potential toxicity of novel drug candidates.
DOI: 10.5281/zenodo.14987944
title: A Clinical Chemical Atlas of Xenobiotic Toxicity for the Sprague-Dawley Rat

description: The Consortium for Metabonomic Toxicology (COMET) studies were designed to model metabolic responses to organ- and mechanism-specific toxins to predict acute drug toxicity in rats. A range of clinical chemical parameters were measured in 7-day toxicology studies for 86 toxins eliciting a range of organ- and mechanism-specific effects. Additionally, 21 surgical or physiological stressors were evaluated to identify physiological or metabolic responses that might confound the interpretation of observed toxicity profiles. From these studies on a total of 3473 rats measured at six pharmaceutical companies, we provide a set of 12 serum and 5 urine physical and clinical chemistry parameters. Samples were collected at 24 h, 48 h and 168 h post-dose for each animal and are presented as a downloadable database file. We also summarise the main observations based on the group response at the level of the individual toxin. We demonstrate that correlations between parameters, such as serum bilirubin and aspartate aminotransferase (AST), to provide a more nuanced profile of organ-specific toxicity than consideration of individual parameters. In addition, we highlight the variability in the measured parameters across the dataset attributable to inter-laboratory differences, and the heterogeneity of metabolic responses to particular compounds or differences in temporal patterns of response. This clinical chemistry atlas of toxicity serves as a valuable reference tool for evaluating the potential toxicity of novel drug candidates.
DOI: 10.5281/zenodo.14987364
title: Time-Lapse Microscopy of Cycling RPE1 Cells with Brightfield and H2B Imaging, Annotated with Cell Cycle States from integrated FUCCI Intensities

description: We acquired a high-resolution time-lapse fluorescence microscopy dataset of dividing human Fucci RPE1 cells, capturing images every 5 minutes. Cell nuclei were segmented using a custom StarDist model (Weigert and Schmidt) on an additional nuclear histone marker (H2B) channel and tracked across frames with TrackMate (Tinevez et al.) from 72-hour recordings. Full cell cycle tracks were identified through K-Means clustering, and ground-truth labels were derived by normalizing the average Fucci intensities per nucleus and applying a logarithmic transformation.

The training dataset includes 5,188 complete cell cycle tracks (M-M), with each track containing two imaging modalities—Brightfield and H2B fluorescence—represented as 64×64 images centered on the nucleus. We also provide two independent test datasets: one with unperturbed control cells (358 complete tracks) and another with drug-treated cells exhibiting cell cycle abnormalities (73 complete tracks).

We also included the model weights in the models.zip file. 

 

Imaging metadata:

Images from four channels—Brightfield, H2B (far red), Cdt1 (red), and Geminin (green)—were acquired every 5 minutes using a PerkinElmer Operetta Microscope with a 20x/0.80 objective (wide-field microscopy). Four or nine tiles per well were captured for each channel, with a 15% overlap for subsequent stitching. In the images, 1 pixel equates to 0.5979761uM. The laser intensities and time of exposure for each channel are shown in the table below. 




Channel
Laser Intensity
Exposure time


Fucci Green
25%
30 ms


Fucci Red
15%
10 ms


H2B Far Red 
30%
30 ms


Brightfield
50%
5 ms
DOI: 10.5281/zenodo.14987478
title: Time-Lapse Microscopy of Cycling RPE1 Cells with Brightfield and H2B Imaging, Annotated with Cell Cycle States from integrated FUCCI Intensities

description: We acquired a high-resolution time-lapse fluorescence microscopy dataset of dividing human Fucci RPE1 cells, capturing images every 5 minutes. Cell nuclei were segmented using a custom StarDist model (Weigert and Schmidt) on an additional nuclear histone marker (H2B) channel and tracked across frames with TrackMate (Tinevez et al.) from 72-hour recordings. Full cell cycle tracks were identified through K-Means clustering, and ground-truth labels were derived by normalizing the average Fucci intensities per nucleus and applying a logarithmic transformation.

The training dataset includes 5,188 complete cell cycle tracks (M-M), with each track containing two imaging modalities—Brightfield and H2B fluorescence—represented as 64×64 images centered on the nucleus. We also provide two independent test datasets: one with unperturbed control cells (358 complete tracks) and another with drug-treated cells exhibiting cell cycle abnormalities (73 complete tracks).

We also included the model weights in the models.zip file. 

 

Imaging metadata:

Images from four channels—Brightfield, H2B (far red), Cdt1 (red), and Geminin (green)—were acquired every 5 minutes using a PerkinElmer Operetta Microscope with a 20x/0.80 objective (wide-field microscopy). Four or nine tiles per well were captured for each channel, with a 15% overlap for subsequent stitching. In the images, 1 pixel equates to 0.5979761uM. The laser intensities and time of exposure for each channel are shown in the table below. 




Channel
Laser Intensity
Exposure time


Fucci Green
25%
30 ms


Fucci Red
15%
10 ms


H2B Far Red 
30%
30 ms


Brightfield
50%
5 ms
DOI: 10.5281/zenodo.14774037
title: Time-Lapse Microscopy of Cycling RPE1 Cells with Brightfield and H2B Imaging, Annotated with Cell Cycle States from integrated FUCCI Intensities

description: We acquired a high-resolution time-lapse fluorescence microscopy dataset of dividing human Fucci RPE1 cells, capturing images every 5 minutes. Cell nuclei were segmented using a custom StarDist model (Weigert and Schmidt) on an additional nuclear histone marker (H2B) channel and tracked across frames with TrackMate (Tinevez et al.) from 72-hour recordings. Full cell cycle tracks were identified through K-Means clustering, and ground-truth labels were derived by normalizing the average Fucci intensities per nucleus and applying a logarithmic transformation.

The training dataset includes 5,188 complete cell cycle tracks (M-M), with each track containing two imaging modalities—Brightfield and H2B fluorescence—represented as 64×64 images centered on the nucleus. We also provide two independent test datasets: one with unperturbed control cells (358 complete tracks) and another with drug-treated cells exhibiting cell cycle abnormalities (73 complete tracks).

We also included the model weights in the models.zip file. 

 

Imaging metadata:

Images from four channels—Brightfield, H2B (far red), Cdt1 (red), and Geminin (green)—were acquired every 5 minutes using a PerkinElmer Operetta Microscope with a 20x/0.80 objective (wide-field microscopy). Four or nine tiles per well were captured for each channel, with a 15% overlap for subsequent stitching. In the images, 1 pixel equates to 0.5979761uM. The laser intensities and time of exposure for each channel are shown in the table below. 




Channel
Laser Intensity
Exposure time


Fucci Green
25%
30 ms


Fucci Red
15%
10 ms


H2B Far Red 
30%
30 ms


Brightfield
50%
5 ms
DOI: 10.5281/zenodo.14774038
title: Time-Lapse Microscopy of Cycling RPE1 Cells with Brightfield and H2B Imaging, Annotated with Cell Cycle States from integrated FUCCI Intensities

description: We acquired a high-resolution time-lapse fluorescence microscopy dataset of dividing human Fucci RPE1 cells, capturing images every 5 minutes. Cell nuclei were segmented using a custom StarDist model (Weigert and Schmidt) on an additional nuclear histone marker (H2B) channel and tracked across frames with TrackMate (Tinevez et al.) from 72-hour recordings. Full cell cycle tracks were identified through K-Means clustering, and ground-truth labels were derived by normalizing the average Fucci intensities per nucleus and applying a logarithmic transformation.

The training dataset includes 5,188 complete cell cycle tracks (M-M), with each track containing two imaging modalities—Brightfield and H2B fluorescence—represented as 64×64 images centered on the nucleus. We also provide two independent test datasets: one with unperturbed control cells (358 complete tracks) and another with drug-treated cells exhibiting cell cycle abnormalities (73 complete tracks).

 

Imaging metadata:

Images from four channels—Brightfield, H2B (far red), Cdt1 (red), and Geminin (green)—were acquired every 5 minutes using a PerkinElmer Operetta Microscope with a 20x/0.80 objective (wide-field microscopy). Four or nine tiles per well were captured for each channel, with a 15% overlap for subsequent stitching. In the images, 1 pixel equates to 0.5979761uM. The laser intensities and time of exposure for each channel are shown in the table below. 




Channel
Laser Intensity
Exposure time


Fucci Green
25%
30 ms


Fucci Red
15%
10 ms


H2B Far Red 
30%
30 ms


Brightfield
50%
5 ms
DOI: 10.48742/fau.b9f7-hd44
title: Multimodal Head and Heck Cancer Dataset HANCOCK

description: Our multimodal dataset HANCOCK comprises monocentric, real-world data of 763 head and neck cancer patients. Our dataset contains demographical, pathological, and blood data as well as surgery reports and histologic images. We believe that HANCOCK will not only open new insights into head and neck cancer pathology but also serve as a major source for researching multimodal machine-learning methodologies in precision oncology.
DOI: 10.5281/zenodo.14987885
title: German YouTube data on Occupations

description: There are many valuable insights on jobs and professions in different sectors of society based on their imminent and ascribed characteristics. Studying such characteristics traditionally was done by action research, surveys, questionnaires, etc. which typically take much time and resources to be concluded. This dataset accompanies our studies where we examine vocational education and training data on YouTube.

Data

This dataset contains the URLs related to 5,043,515 YouTube videos (2007-2023). We do not publish any further data. This dataset contains a unique id (not the video id), a KldB number related to KldB (Klassifikation der Berufe), a search term linked to that video, and the url.

Contact

Please contact us if you have questions or want to use this dataset.
DOI: 10.5281/zenodo.14987886
title: German YouTube data on Occupations

description: There are many valuable insights on jobs and professions in different sectors of society based on their imminent and ascribed characteristics. Studying such characteristics traditionally was done by action research, surveys, questionnaires, etc. which typically take much time and resources to be concluded. This dataset accompanies our studies where we examine vocational education and training data on YouTube.

Data

This dataset contains the URLs related to 5,043,515 YouTube videos (2007-2023). We do not publish any further data. This dataset contains a unique id (not the video id), a KldB number related to KldB (Klassifikation der Berufe), a search term linked to that video, and the url.

Contact

Please contact us if you have questions or want to use this dataset.
DOI: 10.5281/zenodo.14592151
title: Experimental data for study Local Asymmetric Gaussian Fitting (LAGF) Algorithm for Enhanced Peak Detection of Liquid Chromatography-High Resolution Mass Spectrometry Data
DOI: 10.15468/dl.d39nkz
title: Occurrence Download

description: A dataset containing 567 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Russian Federation",
 "TaxonKey is Phytolacca acinosa Roxb.",
 "Year 1990-2025"
 ]
}

 The dataset includes 567 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007886-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h84wk2
title: Occurrence Download

description: A dataset containing 105405 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Galeopsis bifida Boenn.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 105405 records from 439 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007814-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tc4a9z
title: Occurrence Download

description: A dataset containing 567 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Russian Federation",
 "TaxonKey is Phytolacca acinosa Roxb.",
 "Year 1990-2025"
 ]
}

 The dataset includes 567 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007885-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ghgqxj
title: Occurrence Download

description: A dataset containing 193193 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Lebanon",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 193193 records from 672 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007876-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cq8sdu
title: Occurrence Download

description: A dataset containing 24818 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Lynx rufus (Schreber, 1777)"
 ]
}

 The dataset includes 24818 records from 123 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014010-230828120925497/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pfz2ea
title: Occurrence Download

description: A dataset containing 2888 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Psathyrella corrugis (Pers.) Konrad & Maubl., Psathyrella fatua (Fr.) P.Kumm., Psathyrella gracillima Peck)",
 "Geometry POLYGON((-9.36035 44.71551,-10.59082 42.81152,-11.82129 36.80928,-7.69043 36.17336,-3.38379 35.88905,3.12012 38.13456,9.18457 38.20366,11.7334 37.16032,12.78809 34.74161,17.09473 33.79741, 23.15918 34.23451,30.10254 32.62087,33.2666 32.99024,35.72754 35.03,33.00293 35.53223,28.69629 35.17381,28.34473 36.31513,25.7959 37.50973,24.91699 39.90974,28.78418 40.6473,30.71777 41.17865,36.87012 45.213,38.18848 46.98025,38.71582 47.7541,39.94629 47.93107,40.20996 49.61071,37.0459 50.34546,35.72754 50.40152,33.79395 52.26816,31.68457 51.94426,31.4209 53.27835,32.56348 53.43572,30.98145 54.77535,30.89355 55.52863,28.43262 56.02295,27.20215 57.65716,27.37793 58.30949,27.90527 59.17593,29.66309 59.88894,27.6416 60.58697,31.50879 62.75473,28.78418 69.83962,30.89355 70.28912,29.22363 71.55274,21.75293 71.30079,14.28223 70.14036,11.38184 67.47492,4.87793 63.66576,-5.53711 71.52491,-10.63477 71.69129,-21.5332 67.74276,-28.56445 65.36684,-24.3457 61.35461,-9.36035 44.71551))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2021"
 ]
}

 The dataset includes 2888 records from 100 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0325463-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.