cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.dzhym5
title: Occurrence Download

description: A dataset containing 2106 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Pupalia Juss."
 ]
}

 The dataset includes 2106 records from 116 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000562-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25574/28767
title: Chandra X-ray Observatory ObsId 28767

description: Monitor the Fe L line and Ne X Structure in 4U 1626-67 after Torque Reversal
DOI: 10.25574/28836
title: Chandra X-ray Observatory ObsId 28836

description: Monitor the Fe L line and Ne X Structure in 4U 1626-67 after Torque Reversal
DOI: 10.15468/dl.jggvem
title: Occurrence Download

description: A dataset containing 115 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Réseau Loup - Lynx ONCFS - Répartition Régulière Lynx 2020"
 ]
}

 The dataset includes 115 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000564-250525065834625/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.29145578
title: Source Estimation of EEG signals of subjects during naps with subsequent dream reporting.

description: The data are from a study on source estimation of EEG signals of subjects during naps with subsequent dream reporting. They are in MATLAB format and present the power signals of the EEG Source Signals, for all 736 trials performed, 14 frequency bands (0.5 - 28.5 with a 2Hz band each) and 16006 voxels uniformly distributed throughout the brain volume.
DOI: 10.15468/dl.33yjeq
title: Occurrence Download

description: A dataset containing 1433276 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Aphis hederae Kaltenbach, 1843, Orobanche hederae Duby, Aulographum hederae Lib., Diaporthe hederae Wehm., Guignardia philoprina (Berk. & M.A.Curtis) Aa, Hypoderma hederae (T.Nees ex Mart.) De Not., Lophodermium hedericola S.Ahmad, Nectria sinopica (Fr.) Fr., Nectria hederae C.Booth, Oncopodiella trigonella (Sacc.) Rifai, Trochila craterium (DC.) Fr., Skyathea hederae Spooner & Dennis, Tubulicrinis subulatus (Bourdot & Galzin) Donk, Diaporthe pulla Nitschke, Stictis radiata (L.) Pers., 1800, Synophropsis lauri (Horváth, 1897), Isaria friesii Mont., Choragus sheppardi Kirby, 1819, Melanconium hederae Preuss, Subulispora britannica B.Sutton, Acalles misellus Bohem., 1844, Marasmius epiphylloides (Rea) Sacc. & Trotter, Physalacria stilboidea (Cooke) Sacc., Anobium inexspectatum Lohse, 1954, Ochina ptinoides (Marsham, 1802), Kissophagus hederae Chapuis, 1869, Chrysolina polita (Linnaeus, 1758), Phyllosticta hederae Sacc. & Roum., Pogonocherus hispidus (Linnaeus, 1758), Leucula festiva (Cramer), Eusarima iranica Gnezdilov & Mozaffarian, 2011, Hymetta balteata McAtee, 1919, Formica cinerea Mayr, 1853, Conistra vaccinii (Linnaeus, 1761), Aplos simplex (Germar, 1830), Ectobius vittiventris (Costa, 1847), Peribatodes rhomboidaria (Denis & Schiffermüller), 1775, Phasia aurigera (Egger, 1860), Dirhinus hesperidum (Rossi, 1790), Dolichovespula media (Retz., 1783), Eulithis diversilineata (Hübner, 1813), Archytas apicifer (Walker, 1849), Mesembrina meridiana (Linnaeus, 1758), Colletes hederae Schmidt & Westrich, 1993, Xestia xanthographa (Denis & Schiffermüller, 1775), Dasysyrphus albostriatus (Fallén, 1817), Discodes valentinae Japoshvili & Noyes, 2005, Eretmocerus hederae Abd-Rabou & Ghahari, 2011, Encarsia estrellae Manzari & Polaszek, 2002, Chrysocharis euterpe Hansson, 1985)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1433276 records from 2059 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000559-250525065834625/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.28903961
title: Public-private engagement in smart cities

description: This research explore the topic of public-private engagement frameworks in the smart city domain.
DOI: 10.6084/m9.figshare.28903961.v2
title: Public-private engagement in smart cities

description: This research explore the topic of public-private engagement frameworks in the smart city domain.
DOI: 10.6084/m9.figshare.28903961.v1
title: Public-private engagement in smart cities

description: This research explore the topic of public-private engagement frameworks in the smart city domain.
DOI: 10.5281/zenodo.15277050
title: Original Data of "Predicting Mosquito Flight Behavior Using Bayesian Dynamical Systems Learning"

description: Mosquito Tracking Data Collected by the Photonic Fence™ Monitoring System (Photonic Sentry) at the CDC, Atlanta (2023–2025)
DOI: 10.5281/zenodo.15277051
title: Original Data of "Predicting Mosquito Flight Behavior Using Bayesian Dynamical Systems Learning"

description: Mosquito Tracking Data Collected by the Photonic Fence™ Monitoring System (Photonic Sentry) at the CDC, Atlanta (2023–2025)
DOI: 10.5281/zenodo.14317921
title: RO-Crate of a Case Study for High Throughput Sequencing using the PRIMAD Model and BioCompute Object

description: The reproducibility of computational pipelines is an expectation in biomedical science, particularly in critical domains like human health. In this context, reporting next-generation genome sequencing methods used in precision medicine spurred the development of the IEEE 2791-2020 standard for Bioinformatics Analyses Generated by High-Throughput Sequencing (HTS), known as the BioCompute Object (BCO). Championed by the USA’s Food and Drug Administration, the BCO is a pragmatic framework for documenting pipelines; however, it has not been systematically assessed for its reproducibility claims.

This study uses the PRIMAD model, a conceptual framework for describing computational experiments for reproducibility purposes, to systematically review the BCO for depth and coverage. A meticulous mapping of BCO and PRIMAD elements onto a published BCO use case reveals potential omissions and necessary extensions within both frameworks. This underscores the significance of systematically validating claims of reproducibility for published digital objects, thereby enhancing the reliability of scientific research in bioscience and related disciplines.

The associated publication for this study can be found on arXiv at: http://arxiv.org/abs/2412.07502

This study, along with its associated artifacts, is reported as a RO-Crate, providing a structured reporting approach.
DOI: 10.5281/zenodo.14317922
title: RO-Crate of a Case Study for High Throughput Sequencing using the PRIMAD Model and BioCompute Object

description: The reproducibility of computational pipelines is an expectation in biomedical science, particularly in critical domains like human health. In this context, reporting next-generation genome sequencing methods used in precision medicine spurred the development of the IEEE 2791-2020 standard for Bioinformatics Analyses Generated by High-Throughput Sequencing (HTS), known as the BioCompute Object (BCO). Championed by the USA’s Food and Drug Administration, the BCO is a pragmatic framework for documenting pipelines; however, it has not been systematically assessed for its reproducibility claims.

This study uses the PRIMAD model, a conceptual framework for describing computational experiments for reproducibility purposes, to systematically review the BCO for depth and coverage. A meticulous mapping of BCO and PRIMAD elements onto a published BCO use case reveals potential omissions and necessary extensions within both frameworks. This underscores the significance of systematically validating claims of reproducibility for published digital objects, thereby enhancing the reliability of scientific research in bioscience and related disciplines.

The associated publication for this study can be found on arXiv at: http://arxiv.org/abs/2412.07502

This study, along with its associated artifacts, is reported as a RO-Crate, providing a structured reporting approach.
DOI: 10.15468/dl.t2ymwv
title: Occurrence Download

description: A dataset containing 219 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Russian Federation, China)",
 "DatasetKey is one of (iNaturalist Research-grade Observations, Moscow University Herbarium (MW))",
 "GadmGid is RUS.3_1",
 "OccurrenceStatus is Present",
 "TaxonKey is Betula L."
 ]
}

 The dataset includes 219 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007967-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f92yyu
title: Occurrence Download

description: A dataset containing 1256 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "TaxonKey is one of (Ensatina eschscholtzii klauberi Dunn, 1929)"
 ]
}

 The dataset includes 1256 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007966-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15310654
title: TABLE 1 in Habitat Suitability of the Sand Lizard (Lacerta agilis) at Its Distribution Limit-An Analysis Based on Citizen Science Data and Machine Learning

description: TABLE 1 | Overview of potential predictor variables used in the models.
CategoryHabitat parameterSourceClayey sands, clean sands, clayey silts, normal clayBodenübersichtskarte derSoiltypeSandy clays, clayey loam, silty sands, silty loam, clay loam, silty clay, sandy silt, mining areas, MoorsBundesrepublik Deutschland 1:200.000 (BBGR 2018)Cities, mudflatsGlobal soilGrids (Hengl et al. 2017)Edge structured habitatsDistance to forest edge, waterways, roads, settlements, railwaysMapCruz vector layers based on openStreetMap (Meuser n.d.)LandcoverSea, treecover, shrubland, grassland, cropland, settlement, bare, permanent water bodies, herbaceous wetlandESA worldCover 10m 2020 v100 (Zanaga et al. 2021)Sentinel-2Blue, green, red, NIR, NDVI, spatial heterogeneity of the NDVISentinel-2 data from 2019Solar irradiationDirect normal irradiation (DNI)Global solar atlas (ESMAP n.d.)TopographyAspect, slope, elevationSRTM (Farr and Kobrick 2000)
description: Published as part of Krämer, Alina, Meyer, Hanna & Buchholz, Sascha, 2025, Habitat Suitability of the Sand Lizard (Lacerta agilis) at Its Distribution Limit-An Analysis Based on Citizen Science Data and Machine Learning, pp. 5 in Journal of Biogeography (e 15099) 52 (5) on page 5, DOI: 10.1111/jbi.15099, http://zenodo.org/record/15304535
DOI: 10.5281/zenodo.15310655
title: TABLE 1 in Habitat Suitability of the Sand Lizard (Lacerta agilis) at Its Distribution Limit-An Analysis Based on Citizen Science Data and Machine Learning

description: TABLE 1 | Overview of potential predictor variables used in the models.
CategoryHabitat parameterSourceClayey sands, clean sands, clayey silts, normal clayBodenübersichtskarte derSoiltypeSandy clays, clayey loam, silty sands, silty loam, clay loam, silty clay, sandy silt, mining areas, MoorsBundesrepublik Deutschland 1:200.000 (BBGR 2018)Cities, mudflatsGlobal soilGrids (Hengl et al. 2017)Edge structured habitatsDistance to forest edge, waterways, roads, settlements, railwaysMapCruz vector layers based on openStreetMap (Meuser n.d.)LandcoverSea, treecover, shrubland, grassland, cropland, settlement, bare, permanent water bodies, herbaceous wetlandESA worldCover 10m 2020 v100 (Zanaga et al. 2021)Sentinel-2Blue, green, red, NIR, NDVI, spatial heterogeneity of the NDVISentinel-2 data from 2019Solar irradiationDirect normal irradiation (DNI)Global solar atlas (ESMAP n.d.)TopographyAspect, slope, elevationSRTM (Farr and Kobrick 2000)
description: Published as part of Krämer, Alina, Meyer, Hanna & Buchholz, Sascha, 2025, Habitat Suitability of the Sand Lizard (Lacerta agilis) at Its Distribution Limit-An Analysis Based on Citizen Science Data and Machine Learning, pp. 5 in Journal of Biogeography (e 15099) 52 (5) on page 5, DOI: 10.1111/jbi.15099, http://zenodo.org/record/15304535
DOI: 10.15468/dl.4t7f54
title: Occurrence Download

description: A dataset containing 18477 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "TaxonKey is one of (Hyla squirella Daudin, 1800)"
 ]
}

 The dataset includes 18477 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007968-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15301885
title: Research protocol For the paper entitled: Dual-track development for the integration of user experience and concept work in cross-functional teams
DOI: 10.5281/zenodo.15310645
title: Research protocol For the paper entitled: Dual-track development for the integration of user experience and concept work in cross-functional teams
title: Research Protocol
DOI: 10.15468/dl.eywqcg
title: Occurrence Download

description: A dataset containing 836 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Calidris pygmaea (Linnaeus, 1758)",
 "Year 2015-2025"
 ]
}

 The dataset includes 836 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007970-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n8rq77
title: Occurrence Download

description: A dataset containing 19115 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Observation, Human Observation, Machine Observation, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Chamaenerion angustifolium (L.) Scop."
 ]
}

 The dataset includes 19115 records from 402 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007969-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vhjcbj
title: Occurrence Download

description: A dataset containing 4680 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mazama gouazoubira G.Fischer",
 "HasCoordinate is true"
 ]
}

 The dataset includes 4680 records from 70 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007971-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5066/p13ft7js
title: Surface Water-Quality Data and Nutrient Loads in Selected Rivers and Wastewater Treatment Facilities in the Connecticut River and Taunton River Study Areas in Massachusetts, 2019-2021

description: This U.S. Geological Survey (USGS) data release includes necessary information and data to support the analysis and interpretations of nutrient loading and sources of nitrogen in the associated companion USGS Scientific Investigations Report. This data release includes (1) summary statistics for discrete water-quality data collected at eight water-quality-monitoring stations in the Connecticut River and Taunton River study areas from January 2019 to December 2021, and at stations in the Ware River and Quaboag River from August 2020 to August 2021; (2) input streamflow and concentration data, methods used, and calculated annual loads of total nitrogen, total phosphorus, and dissolved organic carbon; and (3) discharge and concentration and data used to compute monthly and annual loads of total nitrogen from wastewater treatment facilities (WWTF). River loads were calculated either using USGS LOADEST (Load Estimator) or the USGS Exploration and Graphics for RivEr Trends (EGRET) R package and the method of Weighted Regression on Time Discharge and Season (WRTDS). WWTF monthly and annual total nitrogen loads were computed using discharge and concentration from the U.S. Environmental Protection Agency (USEPA) Environmental Compliance History Online (ECHO) database.
DOI: 10.15468/dl.f4dp99
title: Occurrence Download

description: A dataset containing 2715451 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Insecta",
 "Year is 1996"
 ]
}

 The dataset includes 2715451 records from 2113 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007942-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1377012.10fu
title: SH1377012.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1377015.10fu
title: SH1377015.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1377016.10fu
title: SH1377016.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1377017.10fu
title: SH1377017.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1377019.10fu
title: SH1377019.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1377021.10fu
title: SH1377021.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.