cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.fp9kkz
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Mazama americana)",
 "Country is one of (Algeria, Angola, Benin, Botswana, British Indian Ocean Territory, Burkina Faso, Burundi, Cabo Verde, Cameroon, Central African Republic, Chad, Comoros, Congo, Congo, Democratic Republic of the, Côte d’Ivoire, Djibouti, Egypt, Equatorial Guinea, Eritrea, Eswatini, Ethiopia, French Southern Territories, Gabon, Gambia, Ghana, Guinea, Guinea-Bissau, Kenya, Lesotho, Liberia, Libya, Madagascar, Malawi, Mali, Mauritania, Mauritius, Mayotte, Morocco, Mozambique, Namibia, Niger, Nigeria, Réunion, Rwanda, Saint Helena, Ascension and Tristan da Cunha, Sao Tome and Principe, Senegal, Seychelles, Sierra Leone, Somalia, South Africa, South Sudan, Sudan, Tanzania, United Republic of, Togo, Tunisia, Uganda, Western Sahara, Zambia, Zimbabwe)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022498-250717081556266/datasets/export for details.
DOI: 10.15468/dl.bj8cpq
title: Occurrence Download

description: A dataset containing 16467 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "DatasetKey is iNaturalist Research-grade Observations",
 "TaxonKey is Ilex vomitoria"
 ]
}

 The dataset includes 16467 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022499-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.em4v9u
title: Occurrence Download

description: A dataset containing 84187 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is one of (USA.21_1, USA.31_1)",
 "TaxonKey is one of (Amphibia, Reptilia, Reptilia, Reptilia, Reptilia)"
 ]
}

 The dataset includes 84187 records from 53 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022472-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.psz6rn
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bombax ceiba",
 "Country is Seychelles",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022500-250717081556266/datasets/export for details.
DOI: 10.5065/0fze-ge81
title: ICARUS Chamber Experiment: Nguyen Group_20220711_Myrcene/Ammonium Sulfate/Ozone/Hydrogen Peroxide_Ozone_Ammonium sulfate

description: Goals: To quantify SOA yield and gas-phase product yields from humid ozonolysis of myrcene, which will serve as a "control" experiment to subtract the ozonolysis contribution to the nighttime chemistry of myrcene as measured in the experiment on 7/8/22.Summary: The chamber was humidified, after which H2O2, and O3 were injected in the chamber and allowed to equilibrate. Ammonium sulfate seed particles were injected. Then myrcene was injected and decayed by reaction with ozone (plus some contribution from OH). Gas phase organics were monitored by CF3O- CIMS (units: normalized counts), particle formation was monitored by SMPS, and RH / T / O3 / NOx were monitored throughout.O3/NOx data sometimes require post-correction not applied here, including subtraction of an ozone interference from H2O2 (1 ppm H2O2 is detected as about 12 ppb ozone) and correction for an in-line HEPA filter (see timeline for applicable timing) that scrubs about 10% of NO2 and 45% of ozone.Organization: Nguyen Group Lab Affiliation: UC Davis Chamber: Tran's big bag of airExperiment Category: Gas phase chemical reaction, Aerosol formation Oxidant: Ozone Reactants: Myrcene, Ammonium Sulfate, Ozone, Hydrogen Peroxide Reaction Type: Dark oxidation Relative Humidity: 65 Temperature: 22 Seed Name: Ammonium sulfate Pressure: approximate 1 atm
DOI: 10.15468/dl.y9c7ya
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Neovison vison",
 "Country is Japan",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022503-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5065/w5hb-vm55
title: ICARUS Chamber Experiment: Nguyen Group_20210126_ALPHA-PINENE/Dinitrogen pentoxide_Nitrate radical_Ammonium sulfate

description: Goals: To quantify gas-phase product yields and the SOA yield from nighttime RO2+RO2- and RO2+NO3-dominated NO3-initiated chemistry of a-pinene using N2O5.Summary: a-pinene and seed aerosol were injected into the chamber and allowed to mix, followed by N2O5, which quickly dissociated to NO2 and NO3. a-pinene decayed rapidly by reaction with NO3. Gas phase was monitored by CF3O- CIMS and particle formation by SMPS. After all injections, a DNPH cartridge was collected for offline HRMS analysis.Organization: Nguyen Group Lab Affiliation: UC Davis Chamber: Tran's big bag of airExperiment Category: Gas phase chemical reaction, Aerosol formation Oxidant: Nitrate radical Reactants: ALPHA-PINENE, Dinitrogen pentoxide Reaction Type: Dark oxidation Relative Humidity: 5 Temperature: 22 Seed Name: Ammonium sulfate Pressure: 755 Torr
DOI: 10.15468/dl.atuhcw
title: Occurrence Download

description: A dataset containing 1263 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bombina variegata variegata"
 ]
}

 The dataset includes 1263 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022501-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.665gwb
title: Occurrence Download

description: A dataset containing 4638 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Trachelium caeruleum, Trachelium caeruleum isabellinum, Trachelium caeruleum brevidentatum, Trachelium caeruleum longiflorum, Trachelium caeruleum isabellinum, Trachelium azureum, Trachelium caeruleum longiflorum, Trachelium caeruleum brevidentatum)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 4638 records from 67 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022502-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/vzfm3d24s2
title: Reassessing Spatial Equity in Palliative Care: A Multi-Method Geographic Analysis in Urban China

description: This dataset supports the manuscript entitled "Reassessing Spatial Equity in Palliative Care: A Multi-Method Geographic Analysis in Urban China." The dataset contains quantitative and geospatial data used to evaluate the spatial distribution, accessibility, and institutional service capacity of palliative care in Nanjing. It consists of three main Excel files and several high-resolution figures in JPG format.
Included files:
Accessibility Evaluation of Palliative Care Institutions.xls: Provides the number of residential points, travel time intervals, covered area, used to assess the service reach and accessibility of palliative care institutions.
Service Capacity of Palliative Care Institutions.xlsx: Includes service capacity coefficients and related evaluation results for each institution.
Voronoi Diagram Area.xls: Presents the Voronoi (Thiessen) polygon areas associated with each institution to evaluate geographic coverage and potential service areas.
Figure 1–4 (JPG): Show administrative divisions, Voronoi diagram, current service capacity, and accessibility analysis.
Supplementary Figures 1–4 (JPG): Provide additional visualizations of facility distribution and service coverage by institution type (hospital-based, community-based, nursing home-based).
All data were collected and analyzed between January and June 2025 using ArcGIS and Excel.
Data curation was performed by Zhiyi Shi and supervised by Associate Professor Shu-Qin Zhu.
For further information, please contact: shizhiyi@stu.njmu.edu.cn
DOI: 10.17632/vzfm3d24s2.1
title: Reassessing Spatial Equity in Palliative Care: A Multi-Method Geographic Analysis in Urban China

description: This dataset supports the manuscript entitled "Reassessing Spatial Equity in Palliative Care: A Multi-Method Geographic Analysis in Urban China." The dataset contains quantitative and geospatial data used to evaluate the spatial distribution, accessibility, and institutional service capacity of palliative care in Nanjing. It consists of three main Excel files and several high-resolution figures in JPG format.
Included files:
Accessibility Evaluation of Palliative Care Institutions.xls: Provides the number of residential points, travel time intervals, covered area, used to assess the service reach and accessibility of palliative care institutions.
Service Capacity of Palliative Care Institutions.xlsx: Includes service capacity coefficients and related evaluation results for each institution.
Voronoi Diagram Area.xls: Presents the Voronoi (Thiessen) polygon areas associated with each institution to evaluate geographic coverage and potential service areas.
Figure 1–4 (JPG): Show administrative divisions, Voronoi diagram, current service capacity, and accessibility analysis.
Supplementary Figures 1–4 (JPG): Provide additional visualizations of facility distribution and service coverage by institution type (hospital-based, community-based, nursing home-based).
All data were collected and analyzed between January and June 2025 using ArcGIS and Excel.
Data curation was performed by Zhiyi Shi and supervised by Associate Professor Shu-Qin Zhu.
For further information, please contact: shizhiyi@stu.njmu.edu.cn
DOI: 10.15468/dl.ss6hx2
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Neovison vison",
 "Country is Kazakhstan",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022504-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/t2dygzcsyt.1
title: AI4RSE

description: This dataset supports the study titled “Advancing Research Software Engineering with AI: A Research Framework”, which explores the emerging domain of Artificial Intelligence for Research Software Engineering (AI4RSE). It contains all materials used in the large-scale empirical analysis of over 1,500 open-source research software repositories.

The repository includes:

1) Repository Metadata and Scores: A curated list of 1,512 research software repositories hosted on Zenodo, along with associated metadata extracted from GitHub. Each entry includes annotations for AI usage, engineering maturity, and compliance with the FAIR Principles for Research Software (FAIR4RS).

2) IEEE Taxonomy Mapping: A filtered subset of IEEE Taxonomy 2025 terms used to categorize the repositories and structure the domain-specific analysis.

3) Related Literature: A collection of key papers and survey articles that informed the theoretical framing of AI4RSE, quadrant modeling, and reproducibility metrics.

4) Analysis Scripts: Python and Jupyter-based scripts used to collect, process, score, and classify the repository data. These include tools for static and semantic code inspection, GenAI usage detection, FAIR4RS checks, and quadrant classification.

All materials are made available to promote transparency, reproducibility, and further research at the intersection of AI, software engineering, and open science.
DOI: 10.15468/dl.pejugq
title: Occurrence Download

description: A dataset containing 115 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Oncorhynchus mykiss",
 "Country is Argentina",
 "HasCoordinate is true"
 ]
}

 The dataset includes 115 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022505-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/59gyhv3rpz
title: ER; GTI; GF

description: The data in the document is the original data submitted for contribution.
DOI: 10.17632/59gyhv3rpz.1
title: ER; GTI; GF

description: The data in the document is the original data submitted for contribution.
DOI: 10.5065/8j16-4169
title: ICARUS Chamber Experiment: Ng Research Group_20171003_ALPHA-PINENE_Nitrate radical_Ammonium sulfate_dry

description: Goals: To characterize particulate organic nitrate generated from NO3 oxidation of a-pinene and understand its hydrolysis process.Summary: SOA including particulate organic nitrate formed by 12 ppb of a-pinene injected as precursor VOC and 80 ppb N2O5 injected as oxidant precursor.Organization: Ng Research Group Lab Affiliation: Georgia Institute of Technology Chamber: Georgia Tech Environmental Chamber (Far)Experiment Category: Condensed-phase chemical reaction, Aerosol formation Oxidant: Nitrate radical Reactants: ALPHA-PINENE Reaction Type: Dark oxidation, Hydrolysis Relative Humidity: 1-6 Temperature: 22 Seed Name: Ammonium sulfate
DOI: 10.17632/dfyhrm5bw4
title: Hyperspectral Reflection and Forage Data on Grassland Vegetation

description: With the following dataset we aim to predict forage quantity and quality proxies—namely aboveground biomass (AGB), metabolizable energy content (ME), and metabolizable energy yield (MEY)—using hyperspectral canopy reflectance data from grassland communities across diverse climatic zones. We hypothesize that spectral data will facilitate reliable predictions of forage traits across grassland biomes.

Data Collection
Data were collected from three distinct grassland ecosystems: a seasonally humid tropical savanna in West Africa (“Tropical”), a dry subtropical thornbush savanna in Namibia (“Semi-arid”), and temperate grasslands in Germany (“Temperate”). We gathered 456 hyperspectral measurements (177 from Germany in 2020-2021, 105 from West Africa in 2012, 174 from Namibia in 2021) using an ASD FieldSpec 3 in Germany and West Africa, and an ASD FieldSpec 4 in Namibia. Reflectance spectra were recorded from 350 to 2,500 nm at 1.5 m (Namibia/Germany) and 1.3 m (West Africa) above ground, calibrated with Spectralon® standards. Afterwards, aboveground biomass was clipped, with dry weight determined after oven-drying (55–60°C &gt;48 hours). ME was assessed using in vitro gas production after Menke & Steingass, and crude protein content was measured via the Kjeldahl method or an elemental analyser. MEY was calculated as the product of ME and AGB.

Data Processing
Spectral data processing involved averaging five replicate measurements and applying a Savitzky-Golay filter for smoothing. Spectral regions affected by noise and atmospheric absorption were excluded. Data pre-processing was conducted in R using the “hsdar” package, resulting in a predictor set derived from reflectance spectra reduced to 10 nm resolution, yielding 168 predictors. The first derivative provided an additional 153 predictors, and vegetation indices contributed another 170, totaling 491 predictors. Each datapoint of ME, AGB, and MEY was assigned the full predictor set, available in “Pred_ME.csv”, “Pred_BM.csv”, and “Pred_MEY.csv”.

Model Setup
Prediction models were established using Random Forest (RF), Partial Least Squares (PLS) Regression Algorithms and convolutional neural networks (cNN). Predictor reduction was executed through repeated backward elimination based on predictor importance. Optimal predictor sets for both models were determined by minimizing mean square error (MSE) via repeated 10-fold cross-validation. The first derivative predictor set was finally used for RF, PLS and cNN model setup. 

Data availability and usage
The predictor reduction and model setup codes for PLS and RF are available in “ModelSetup_TransClim_RF-PLS.R”, while the cNN model setup code is in “ModelSetup_TransClim_DL.py”. The input datasets can be used for model training with the 491 possible predictors and ME, AGB/BM and MEY as response variables. The codes are applicable to the ME-Dataset and can be adapted to AGB (BM) and MEY accordingliy if used in one project folder.
DOI: 10.17632/dfyhrm5bw4.1
title: Hyperspectral Reflection and Forage Data on Grassland Vegetation

description: With the following dataset we aim to predict forage quantity and quality proxies—namely aboveground biomass (AGB), metabolizable energy content (ME), and metabolizable energy yield (MEY)—using hyperspectral canopy reflectance data from grassland communities across diverse climatic zones. We hypothesize that spectral data will facilitate reliable predictions of forage traits across grassland biomes.

Data Collection
Data were collected from three distinct grassland ecosystems: a seasonally humid tropical savanna in West Africa (“Tropical”), a dry subtropical thornbush savanna in Namibia (“Semi-arid”), and temperate grasslands in Germany (“Temperate”). We gathered 456 hyperspectral measurements (177 from Germany in 2020-2021, 105 from West Africa in 2012, 174 from Namibia in 2021) using an ASD FieldSpec 3 in Germany and West Africa, and an ASD FieldSpec 4 in Namibia. Reflectance spectra were recorded from 350 to 2,500 nm at 1.5 m (Namibia/Germany) and 1.3 m (West Africa) above ground, calibrated with Spectralon® standards. Afterwards, aboveground biomass was clipped, with dry weight determined after oven-drying (55–60°C &gt;48 hours). ME was assessed using in vitro gas production after Menke & Steingass, and crude protein content was measured via the Kjeldahl method or an elemental analyser. MEY was calculated as the product of ME and AGB.

Data Processing
Spectral data processing involved averaging five replicate measurements and applying a Savitzky-Golay filter for smoothing. Spectral regions affected by noise and atmospheric absorption were excluded. Data pre-processing was conducted in R using the “hsdar” package, resulting in a predictor set derived from reflectance spectra reduced to 10 nm resolution, yielding 168 predictors. The first derivative provided an additional 153 predictors, and vegetation indices contributed another 170, totaling 491 predictors. Each datapoint of ME, AGB, and MEY was assigned the full predictor set, available in “Pred_ME.csv”, “Pred_BM.csv”, and “Pred_MEY.csv”.

Model Setup
Prediction models were established using Random Forest (RF), Partial Least Squares (PLS) Regression Algorithms and convolutional neural networks (cNN). Predictor reduction was executed through repeated backward elimination based on predictor importance. Optimal predictor sets for both models were determined by minimizing mean square error (MSE) via repeated 10-fold cross-validation. The first derivative predictor set was finally used for RF, PLS and cNN model setup. 

Data availability and usage
The predictor reduction and model setup codes for PLS and RF are available in “ModelSetup_TransClim_RF-PLS.R”, while the cNN model setup code is in “ModelSetup_TransClim_DL.py”. The input datasets can be used for model training with the 491 possible predictors and ME, AGB/BM and MEY as response variables. The codes are applicable to the ME-Dataset and can be adapted to AGB (BM) and MEY accordingliy if used in one project folder.
DOI: 10.15468/dl.zayjfq
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Neovison vison",
 "Country is Latvia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022507-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.brcd8d
title: Occurrence Download

description: A dataset containing 2429 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Anthurium obtusum"
 ]
}

 The dataset includes 2429 records from 118 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022508-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6ee3hk
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Revision of Microplitis species from China with description of a new species"
 ]
}

 The dataset includes 16 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022509-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15857349
title: SOFTBALL model input files

description: Input files used to generate model output for publication "The Impact of Permeability-Porosity Relationships on the ModeledGrowth Dynamics and Properties of Saline Ices"
DOI: 10.48436/cn2kq-6b306
title: LongEval 2024 Train Collection

description: The collection consists of queries and documents provided by the Qwant search Engine (https://www.qwant.com). The queries, which were issued by the users of Qwant, are based on the selected trending topics. The documents in the collection were selected with respect to these queries using the Qwant click model. Apart from the documents selected using this model, the collection also contains randomly selected documents from the Qwant index. All the data were collected over January 2023. In total, the collection contains 599 train queries, with corresponding 9,785 relevance assessments coming from the Qwant click model. The set of documents consist of 2,049,729 downloaded, cleaned and filtered Web Pages. Apart from their original French versions, the collection also contains translations of the webpages and queries into English. The collection serves as the official training collection for the 2024 LongEval Information Retrieval Lab (https://clef-longeval.github.io/) organised at CLEF.
 
The data is released under the Qwant LongEval Attribution-NonCommercial-ShareAlike License.
DOI: 10.48436/y60e9-k9b51
title: LongEval 2024 Train Collection

description: The collection consists of queries and documents provided by the Qwant search Engine (https://www.qwant.com). The queries, which were issued by the users of Qwant, are based on the selected trending topics. The documents in the collection were selected with respect to these queries using the Qwant click model. Apart from the documents selected using this model, the collection also contains randomly selected documents from the Qwant index. All the data were collected over January 2023. In total, the collection contains 599 train queries, with corresponding 9,785 relevance assessments coming from the Qwant click model. The set of documents consist of 2,049,729 downloaded, cleaned and filtered Web Pages. Apart from their original French versions, the collection also contains translations of the webpages and queries into English. The collection serves as the official training collection for the 2024 LongEval Information Retrieval Lab (https://clef-longeval.github.io/) organised at CLEF.
 
The data is released under the Qwant LongEval Attribution-NonCommercial-ShareAlike License.