cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.udn2z6
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Material sample, Specimen)",
 "Geometry POLYGON((-3.09199 43.36806,-2.8825 42.74897,-2.40189 42.49313,-1.73184 43.26912,-1.81342 43.41771,-2.20609 43.3669,-2.73432 43.51498,-3.09199 43.36806))",
 "TaxonKey is Halictidae"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015315-250525065834625/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.28853600
title: Nutrient limitations dominate biogeography of microbial carbon use efficiency

description: Quantifying the biogeographical patterns of soil microbial carbon use efficiency (CUE) is crucial for C model development to accurately predict soil C stocks and the C-climate feedback. Here, we used the extracellular enzyme activities stoichiometry and metagenomic sequencing method to quantify the biogeographical patterns of microbial CUE and identify their drivers across northern China. We found that the values of CUE originating from the cold and humid ecosystem were dramatically greater than that of the warm and dry ecosystem. Soil microbial nitrogen (N) and phosphorus (P) limitation inferred from exoenzymatic stoichiometry and metagenomics, particularly for N limitation involving denitrification-induced N loss, exhibited strong negative effects on CUE. Our biogeographic analysis of soil microbial CUE highlights the importance of soil nutrients limitation to predict soil C sinks in Chinese ecosystem, which has signiﬁcant implications for future study and policy decisions in different ecosystem management.
DOI: 10.15468/dl.ef4uaf
title: Occurrence Download

description: A dataset containing 34449 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Agropyron Gaertn."
 ]
}

 The dataset includes 34449 records from 607 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012648-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nfbkns
title: Occurrence Download

description: A dataset containing 392845 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Southern Scotland Bat Survey, 2016"
 ]
}

 The dataset includes 392845 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012637-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nqukne
title: Occurrence Download

description: A dataset containing 2058 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is South Africa",
 "OccurrenceStatus is Present",
 "TaxonKey is Branchiopoda"
 ]
}

 The dataset includes 2058 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012649-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e231282v1
title: Public Perceptions of AI in Healthcare Based on Reddit Posts (2020–2025)

description: This dataset contains 18,754 Reddit posts and comments related to artificial intelligence (AI) in healthcare, collected from March 2020 to March 2025. The dataset was used to analyze public sentiment and topic trends using BERTopic and sentiment classification models. The data includes original texts, sentiment labels, topic assignments, and c-TF-IDF keyword weights.
description: Publicly available Reddit posts and comments related to artificial intelligence in healthcare, authored by self-selected users on the Reddit platform from March 2020 to March 2025.
description: The dataset consists of 751 Reddit threads and a total of 18,754 associated posts and comments discussing artificial intelligence in healthcare. Data were collected via the Pushshift API and Reddit’s public API under Reddit's content usage policy. Preprocessing steps included text cleaning, deduplication, and anonymization. Topic modeling was conducted using the BERTopic algorithm (SBERT + UMAP + HDBSCAN + c-TF-IDF), and sentiment classification was performed using a fine-tuned transformer-based model. No personally identifiable information is included.
DOI: 10.3886/e231282
title: Public Perceptions of AI in Healthcare Based on Reddit Posts (2020–2025)

description: This dataset contains 18,754 Reddit posts and comments related to artificial intelligence (AI) in healthcare, collected from March 2020 to March 2025. The dataset was used to analyze public sentiment and topic trends using BERTopic and sentiment classification models. The data includes original texts, sentiment labels, topic assignments, and c-TF-IDF keyword weights.
description: Publicly available Reddit posts and comments related to artificial intelligence in healthcare, authored by self-selected users on the Reddit platform from March 2020 to March 2025.
description: The dataset consists of 751 Reddit threads and a total of 18,754 associated posts and comments discussing artificial intelligence in healthcare. Data were collected via the Pushshift API and Reddit’s public API under Reddit's content usage policy. Preprocessing steps included text cleaning, deduplication, and anonymization. Topic modeling was conducted using the BERTopic algorithm (SBERT + UMAP + HDBSCAN + c-TF-IDF), and sentiment classification was performed using a fine-tuned transformer-based model. No personally identifiable information is included.
DOI: 10.3886/e231282v2
title: Public Perceptions of AI in Healthcare Based on Reddit Posts (2020–2025)

description: This dataset contains 18,754 Reddit posts and comments related to artificial intelligence (AI) in healthcare, collected from March 2020 to March 2025. The dataset was used to analyze public sentiment and topic trends using BERTopic and sentiment classification models. The data includes original texts, sentiment labels, topic assignments, and c-TF-IDF keyword weights.
description: Publicly available Reddit posts and comments related to artificial intelligence in healthcare, authored by self-selected users on the Reddit platform from March 2020 to March 2025.
description: The dataset consists of 751 Reddit threads and a total of 18,754 associated posts and comments discussing artificial intelligence in healthcare. Data were collected via the Pushshift API and Reddit’s public API under Reddit's content usage policy. Preprocessing steps included text cleaning, deduplication, and anonymization. Topic modeling was conducted using the BERTopic algorithm (SBERT + UMAP + HDBSCAN + c-TF-IDF), and sentiment classification was performed using a fine-tuned transformer-based model. No personally identifiable information is included.
DOI: 10.25549/inscriptifact-ouc110814586
title: Copper Scroll

description: [Text Description:] ❧ list of buried treasure ❧ [Text or Publication Number Note:] 3Q15 Copper Scroll ❧ [Excavation Description:] Found during survey of cliffs at Qumran in March 1952 by Roland de Vaux and William Reed. ❧ [Medium:] Metal ❧ [Script Note:] Jewish ❧ [Physical Object Description:] 23 oxydized copper half-cylinder segments with incised letters
DOI: 10.25549/inscriptifact-ouc110814621
title: Copper Scroll

description: [Text Description:] ❧ list of buried treasure ❧ [Text or Publication Number Note:] 3Q15 Copper Scroll ❧ [Excavation Description:] Found during survey of cliffs at Qumran in March 1952 by Roland de Vaux and William Reed. ❧ [Medium:] Metal ❧ [Script Note:] Jewish ❧ [Physical Object Description:] 23 oxydized copper half-cylinder segments with incised letters
DOI: 10.25549/inscriptifact-ouc110814649
title: Copper Scroll

description: [Text Description:] ❧ list of buried treasure ❧ [Text or Publication Number Note:] 3Q15 Copper Scroll ❧ [Excavation Description:] Found during survey of cliffs at Qumran in March 1952 by Roland de Vaux and William Reed. ❧ [Medium:] Metal ❧ [Script Note:] Jewish ❧ [Physical Object Description:] 23 oxydized copper half-cylinder segments with incised letters
DOI: 10.25549/inscriptifact-ouc110814574
title: Copper Scroll

description: [Text Description:] ❧ list of buried treasure ❧ [Text or Publication Number Note:] 3Q15 Copper Scroll ❧ [Excavation Description:] Found during survey of cliffs at Qumran in March 1952 by Roland de Vaux and William Reed. ❧ [Medium:] Metal ❧ [Script Note:] Jewish ❧ [Physical Object Description:] 23 oxydized copper half-cylinder segments with incised letters
DOI: 10.25549/inscriptifact-ouc110814573
title: Copper Scroll

description: [Text Description:] ❧ list of buried treasure ❧ [Text or Publication Number Note:] 3Q15 Copper Scroll ❧ [Excavation Description:] Found during survey of cliffs at Qumran in March 1952 by Roland de Vaux and William Reed. ❧ [Medium:] Metal ❧ [Script Note:] Jewish ❧ [Physical Object Description:] 23 oxydized copper half-cylinder segments with incised letters
DOI: 10.25549/inscriptifact-ouc110814560
title: Copper Scroll

description: [Text Description:] ❧ list of buried treasure ❧ [Text or Publication Number Note:] 3Q15 Copper Scroll ❧ [Excavation Description:] Found during survey of cliffs at Qumran in March 1952 by Roland de Vaux and William Reed. ❧ [Medium:] Metal ❧ [Script Note:] Jewish ❧ [Physical Object Description:] 23 oxydized copper half-cylinder segments with incised letters
DOI: 10.25549/inscriptifact-ouc110814432
title: Copper Scroll

description: [Text Description:] ❧ list of buried treasure ❧ [Text or Publication Number Note:] 3Q15 Copper Scroll ❧ [Excavation Description:] Found during survey of cliffs at Qumran in March 1952 by Roland de Vaux and William Reed. ❧ [Medium:] Metal ❧ [Script Note:] Jewish ❧ [Physical Object Description:] 23 oxydized copper half-cylinder segments with incised letters
DOI: 10.25549/inscriptifact-ouc110814424
title: Copper Scroll

description: [Text Description:] ❧ list of buried treasure ❧ [Text or Publication Number Note:] 3Q15 Copper Scroll ❧ [Excavation Description:] Found during survey of cliffs at Qumran in March 1952 by Roland de Vaux and William Reed. ❧ [Medium:] Metal ❧ [Script Note:] Jewish ❧ [Physical Object Description:] 23 oxydized copper half-cylinder segments with incised letters
DOI: 10.15778/resif.7h2010
title: Mouvements gravitaires (RESIF-SISMOB)

description: This experiment includes several independant sites. Data devoted to ambiant noise and micro-seismicity analysis. PBOU : Pont-Bourquin clayey landslide located next to Les Diablerets, Switzerland. Small (30 m large, 100m long) but very active (2 m /year) landslide, w ith some acceleration phases. Equiped with 6 vertical velocimeters. The dataset includes several acceleration and deceleration phases. CHOU : Chamousset site is in the eastern limestone cliff, south-east of the vercors massif, western alps, France. Two 3C sensors are on a prone-to-fall limestone flake (approximately 10m large, 2m thick, 30 m high), the third 3C velocimeter located on stable ground. T he dataset includes several seasonal evoluation of natural resonant frequencies, subject to winter snow and ice cover together with daily solar insulation. COB : Char d'Osset site, up Saint Julien Mont Denis village, Maurienne valley, french Alps. Shale cliff and clayey debris flow. Little rockfall and landslide deformation activity over several years of observation, but little seasonal variations of seismic velocity (dV/V).
DOI: 10.5676/dwd_gpcc/climat_v2025_050
title: GPCC Precipitation Analysis Climatology Version 2025 (at 0.25°, 0.5°, 1.0°, 2.5°)
title: Monthly Land-Surface Precipitation Analysis Climatology for 12 Month from Rain-Gauges built on GTS-based and Historical Data

description: The new GPCC Precipitation Analysis Climatology (all / V.2025) is focusing on the period 1951-2000 and consists of normals from ca. 86,000 stations. The climatology comprises normals collected by WMO (CLINOs), delivered by the countries to GPCC or calculated from time- series of monthly data (with at least 10 complete years of data) available in our database. In case that time series of sufficient length (more than 40 years) for the period 1951-2000 were not available from a specific station, then climatological normals have also been calculated for 30-year reference periods within the period 1951-2000 (for 1961-1990, 1951-1980 or 1971-2000) with at least 20 years of data. If even this was not possible, normals have been calculated for other 30-year periods 1931-1960, 1941-1970, 1981- 2010 or 1991-2020 or for any other period with at least 10 complete years of data.
This climatology is available on a regular latitude/longitude grid with a spatial resolution of 0.25° x 0.25°, 0.5° x 0.5°, 1.0° x 1.0°, and 2.5° x 2.5°. This GPCC product has been developed as a background field, for superposition of an interpolated anomaly field according to the period of interest. All other GPCC products utilize the background fields of the GPCC Climatology to grid the monthly data at the corresponding resolution with the anomaly interpolation method.

In addition, the climatological periods 1931-1960, 1941-1970, 1951-1980, 1961-1990, 1971-2000, 1981-2010, 1991-2020 are available for download. The periods were calculated with at least 20 complete years and consists of data from ca. 20,000-40,000 stations.
DOI: 10.5281/zenodo.17659976
title: AgRimate: WP1: Technical and Operational Roadmap: T1.1: Exploring pruning process and technology perception

description: This dataset comprises qualitative and quantitative data collected through structured interviews and questionnaires with stakeholders involved in olive tree and vineyard pruning across Spain and Greece. It includes expert insights from farm owners, field supervisors, agricultural workers, and cooperative members, focusing on practices, tools, working conditions, and perceptions of emerging technologies such as exoskeletons, augmented reality (AR), and autonomous robotic pruning platforms (ARPP). Data includes interview transcripts, survey responses, demographic metadata, and perception ratings on Likert scales (22 interviews). The dataset is unique in its dual focus on traditional and technology-assisted pruning practices and integrates psychosocial, cognitive, and operational dimensions.

Source of the Data:  Structured interviews and questionnaires with stakeholders in Spain and Greece (olive and vineyard pruning).

Purpose of the Dataset:  To understand current pruning practices, technology acceptance, and user perceptions, supporting the design of AR and robotic solutions for improved productivity and working conditions.
DOI: 10.5281/zenodo.17659975
title: AgRimate: WP1: Technical and Operational Roadmap: T1.1: Exploring pruning process and technology perception

description: This dataset comprises qualitative and quantitative data collected through structured interviews and questionnaires with stakeholders involved in olive tree and vineyard pruning across Spain and Greece. It includes expert insights from farm owners, field supervisors, agricultural workers, and cooperative members, focusing on practices, tools, working conditions, and perceptions of emerging technologies such as exoskeletons, augmented reality (AR), and autonomous robotic pruning platforms (ARPP). Data includes interview transcripts, survey responses, demographic metadata, and perception ratings on Likert scales (22 interviews). The dataset is unique in its dual focus on traditional and technology-assisted pruning practices and integrates psychosocial, cognitive, and operational dimensions.

Source of the Data:  Structured interviews and questionnaires with stakeholders in Spain and Greece (olive and vineyard pruning).

Purpose of the Dataset:  To understand current pruning practices, technology acceptance, and user perceptions, supporting the design of AR and robotic solutions for improved productivity and working conditions.
DOI: 10.15468/dl.v9ubvq
title: Occurrence Download

description: A dataset containing 2300 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Plantae",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Country is Germany",
 "DecimalLongitude is greater than or equal to 7.12686591197066",
 "DecimalLongitude is less than 7.12992546515505",
 "DecimalLatitude is greater than or equal to 47.27011",
 "DecimalLatitude is less than or equal to 55.05864"
 ]
}

 The dataset includes 2300 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000205-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13871928
title: SWAN wave model simulations for Hornsund, Svalbard, 07.2015-06.2023

description: Results of SWAN model simulations from the paper:

Herman, A., Swirad, Z., Moskalik, M., 2024, Increased exposure of the shores of Hornsund (Svalbard) to wave action due to a rapid shift in sea ice conditions. Elementa: The Science of Anthropocene.

The dataset contains SWAN results from three stations: Gåshamna (GAS; 76.9506°N, 15.7710°E, 22 m depth), Veslebogen (VES; 76.9951°N 15.4881°E, 16 m depth) and Hansbukta (HBK; 77.0031°N, 15.6298°E, 22 m depth). 

For each station, 1D wave energy spectra and integral wave parameters are available, hourly from 01.07.2015 to 30.06.2023. There is one *.mat file for each station. The contents of these files is described in the text file info.txt.
DOI: 10.5281/zenodo.13871927
title: SWAN wave model simulations for Hornsund, Svalbard, 07.2015-06.2023

description: Results of SWAN model simulations from the paper:

Herman, A., Swirad, Z., Moskalik, M., 2024, Increased exposure of the shores of Hornsund (Svalbard) to wave action due to a rapid shift in sea ice conditions. Elementa: The Science of Anthropocene.

The dataset contains SWAN results from three stations: Gåshamna (GAS; 76.9506°N, 15.7710°E, 22 m depth), Veslebogen (VES; 76.9951°N 15.4881°E, 16 m depth) and Hansbukta (HBK; 77.0031°N, 15.6298°E, 22 m depth). 

For each station, 1D wave energy spectra and integral wave parameters are available, hourly from 01.07.2015 to 30.06.2023. There is one *.mat file for each station. The contents of these files is described in the text file info.txt.
DOI: 10.15468/dl.t88are
title: Occurrence Download

description: A dataset containing 234 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Croatia",
 "OccurrenceStatus is Present",
 "TaxonKey is Milvus milvus"
 ]
}

 The dataset includes 234 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000206-251120083545085/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.21840321
title: Quantitative biomechanical assessment of locomotor capabilities of the stem archosaur Euparkeria capensis

description: from this paper:
  
 Demuth, O.E., Wiseman, A.L.A., Hutchinson, J.R. 2023. Quantitative biomechanical assessment of locomotor capabilities of the stem archosaur <em>Euparkeria capensis</em>. Royal Society Open Science 10:221195. https://doi.org/10.1098/rsos.221195  
<br>
Main contents: 3D models with OBJ meshes of bones and muscles and body segments; OpenSim biomechanical model; R software code.
DOI: 10.6084/m9.figshare.21840321.v1
title: Quantitative biomechanical assessment of locomotor capabilities of the stem archosaur Euparkeria capensis

description: from this paper:
  
 Demuth, O.E., Wiseman, A.L.A., Hutchinson, J.R. 2023. Quantitative biomechanical assessment of locomotor capabilities of the stem archosaur <em>Euparkeria capensis</em>. Royal Society Open Science 10:221195. https://doi.org/10.1098/rsos.221195  
<br>
Main contents: 3D models with OBJ meshes of bones and muscles and body segments; OpenSim biomechanical model; R software code.
DOI: 10.15468/dl.d3uphc
title: Occurrence Download

description: A dataset containing 378 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Mexico",
 "GadmGid is MEX.30_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Procyon lotor",
 "Year 2015-2025"
 ]
}

 The dataset includes 378 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000209-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.59deud
title: Occurrence Download

description: A dataset containing 2710 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Plantae",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Country is Germany",
 "DecimalLongitude is greater than or equal to 7.12992546515505",
 "DecimalLongitude is less than 7.13298501833945",
 "DecimalLatitude is greater than or equal to 47.27011",
 "DecimalLatitude is less than or equal to 55.05864"
 ]
}

 The dataset includes 2710 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000207-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60797/jae.2025.63.11.4
title: Технические решения, защищающие применение методов ИИ для повышения продуктивности агрофитоценозов

description: Journal of Agriculture and Environment, Выпуск 11 (63) 2025
DOI: 10.6084/m9.figshare.20676261
title: PCSA:AA Muscle Data

description: from   
Cuff, A.R.; Wiseman, A.L.A.; Bishop, P.J.; Michel, K.; Gaignet, R.; Hutchinson, J.R. 2022. Anatomically grounded estimation of hindlimb muscle sizes in Archosauria. Journal of Anatomy, published online. https://onlinelibrary.wiley.com/doi/10.1111/joa.13767 
<br>
Hindlimb muscle attachment area data and results from statistical analyses.
<br>
DOI: 10.6084/m9.figshare.20676261.v1
title: PCSA:AA Muscle Data

description: from   
Cuff, A.R.; Wiseman, A.L.A.; Bishop, P.J.; Michel, K.; Gaignet, R.; Hutchinson, J.R. 2022. Anatomically grounded estimation of hindlimb muscle sizes in Archosauria. Journal of Anatomy, published online. https://onlinelibrary.wiley.com/doi/10.1111/joa.13767 
<br>
Hindlimb muscle attachment area data and results from statistical analyses.
<br>
DOI: 10.5281/zenodo.17660151
title: ProB B2ASP Benchmarks for PADL'2026

description: These are benchmark files containing constraints encoded in the B language. The archive contains each benchmark as a file with the ending .eval. The Makefile can be used to run various constraint solving backends of the ProB tool (https://prob.hhu.de/) on each benchmark. Simply type make for this. It will create as output the CSV file bench_bench.csv.

You can also run a benchmark individually for a given solver like this:



probcli -solve_file clingo eval/HardGraph_Nr5.eval


This archive accompanies the article "Using Prolog to Translate Set Theory and B to SAT" presented at PADL 2026 (January 2026, Rennes).
DOI: 10.5281/zenodo.17660150
title: ProB B2ASP Benchmarks for PADL'2026

description: These are benchmark files containing constraints encoded in the B language. The archive contains each benchmark as a file with the ending .eval. The Makefile can be used to run various constraint solving backends of the ProB tool (https://prob.hhu.de/) on each benchmark. Simply type make for this. It will create as output the CSV file bench_bench.csv.

You can also run a benchmark individually for a given solver like this:



probcli -solve_file clingo eval/HardGraph_Nr5.eval


This archive accompanies the article "Using Prolog to Translate Set Theory and B to SAT" presented at PADL 2026 (January 2026, Rennes).