cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1393883.10fu
title: SH1393883.10FU

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: 10.7802/2528
title: Novel Estimates of Mortality Associated with Poverty in the U.S. -- Replication materials
DOI: 10.7802/2530
title: Kompetenzorientiertes E-Assessment für die grafische Modellierung (KEA-Mod)
DOI: 10.7802/2532
title: Twitter accounts of the candidates in the 2023 German state election of Berlin
DOI: 10.15156/bio/sh1393884.10fu
title: SH1393884.10FU

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: 10.7802/2533
title: Nuclear rhetoric and escalation management in Russia’s war against Ukraine
DOI: 10.7802/2534
title: Monitor Digitalisierung 360°
DOI: 10.7802/2535
title: Harmonized Eurobarometer 2004-2021
DOI: 10.15156/bio/sh1393890.10fu
title: SH1393890.10FU

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: 10.7802/2536
title: Replication data: Challenges and benefits of including institutionalized, cognitively impaired, and unable-to-respond individuals in a representative survey of the very old
DOI: 10.7802/2537
title: The Six Country Immigrant Integration Comparative Survey (SCIICS)
DOI: 10.15156/bio/sh1393894.10fu
title: SH1393894.10FU

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: 10.7802/2538
title: Propositional Claim Detection (NLP Datensatz)
DOI: 10.7802/2539
title: Harmonized Eurobarometer 2004-2021
DOI: 10.7802/2543
title: Code/Syntax: Navigating treacherous waters
DOI: 10.15156/bio/sh1393895.10fu
title: SH1393895.10FU

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: 10.7802/2544
title: Code/Syntax: Career Compromises and Dropping Out of Vocational Education and Training in Germany
DOI: 10.7802/2547
title: Code/Syntax: Gleiches Studium, gleiche Chancen? Eine Mikrozensusanalyse zur Arbeitsmarktposition von Frauen mit männertypischem Studienfach
DOI: 10.7802/2548
title: Replication material: »Should I stay or should I go?« Prevalence and predictors of spatial mobility among youth in the transition to vocational education and training in Germany
DOI: 10.7802/2549
title: German state parliaments – Individual and contextual data
DOI: 10.7802/2550
title: Dataset – Personalization of Politics Expert Survey (PoPES) (1985-2016)
DOI: 10.15156/bio/sh1393896.10fu
title: SH1393896.10FU

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: 10.7802/2552
title: Data: Experience with Posting Preprints During the COVID-19 Pandemic
DOI: 10.7802/2553
title: Digitalisierung in der frühkindlichen Bildung
DOI: 10.15156/bio/sh1393898.10fu
title: SH1393898.10FU

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: 10.7802/2554
title: Stata Code and Log-Files for the article "Women's aversion to majors that (seemingly) require systemizing skills causes gendered field of study choice"
DOI: 10.7802/2555
title: Invasion@Ukraine
DOI: 10.7802/2556
title: Replication files: "Take One for the Team!" Individual heterogeneity and the emergence of latent norms in a volunteer's dilemma
DOI: 10.15156/bio/sh1393899.10fu
title: SH1393899.10FU

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: 10.7802/2557
title: Replication files: The emergence of conventions in the repeated volunteer's dilemma: The role of social value orientation, payoff asymmetries and focal points
DOI: 10.7802/2558
title: Replication files: Binding Contracts, Non-Binding Promises and Social Feedback in the Intertemporal Common-Pool Resource Game
DOI: 10.7802/2559
title: Replication files: Sharing Compromising Information as a Cooperative Strategy
DOI: 10.15156/bio/sh1393901.10fu
title: SH1393901.10FU

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: 10.7802/2560
title: Public Voting Data of the Council of the EU
DOI: 10.7802/2561
title: Zentrale Herausforderungen im Alltag aus Sicht von Menschen mit Schwerbehinderung
DOI: 10.15156/bio/sh1393905.10fu
title: SH1393905.10FU

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: 10.15468/dl.9bmxxc
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Thalictrum delavayi",
 "Country is Norway",
 "HasCoordinate is true"
 ]
}

 The dataset includes 6 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009703-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/ccdc.csd.cc2mknb6
title: CCDC 2430038: Experimental Crystal Structure Determination

description: Related Article: Melissa Sophie Egger, Marco Sigl, Robert Saf, Heinz Amenitsch, Ana Torvisco, Thomas Rath, Gregor Trimmel|2025|J.Mater.Chem.C|13|14301|doi:10.1039/D5TC01096A
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2mknc7
title: CCDC 2430039: Experimental Crystal Structure Determination

description: Related Article: Melissa Sophie Egger, Marco Sigl, Robert Saf, Heinz Amenitsch, Ana Torvisco, Thomas Rath, Gregor Trimmel|2025|J.Mater.Chem.C|13|14301|doi:10.1039/D5TC01096A
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5281/zenodo.15231647
title: GHI and GHI_topo

description: Files contain:

GHI (Global Humidity Index): Precipitation / Potential Evapotranspiration based on ERA5 data.

GHI_topo: Same as GHI, but adding hydrologic input from lateral groundwater flow and rivers+flooding to Precipitation.
DOI: 10.5281/zenodo.15231648
title: GHI and GHI_topo

description: Files contain:

GHI (Global Humidity Index): Precipitation / Potential Evapotranspiration based on ERA5 data.

GHI_topo: Same as GHI, but adding hydrologic input from lateral groundwater flow and rivers+flooding to Precipitation.
DOI: 10.5517/ccdc.csd.cc2mnbj5
title: CCDC 2432617: Experimental Crystal Structure Determination

description: Related Article: Bhabana Priyadarshini Debata, Jagannath Dash, Sabita Patel, Sivakumar Vaidyanathan|2025|J.Mater.Chem.C|13|14385|doi:10.1039/D5TC01672J
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2n0jnw
title: CCDC 2443378: Experimental Crystal Structure Determination

description: Related Article: Joginder Singh, Gopendra Muduli, Sabari Veerapathiran, Arushi Rawat, Muneshwar Nandeshwar, Abhilash Sahu, Kohsuke Matsumoto, Osamu Tsutumi, Ganesan Prabusankar|2025|J.Mater.Chem.C|13|14251|doi:10.1039/D5TC01530H
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2n0jpx
title: CCDC 2443379: Experimental Crystal Structure Determination

description: Related Article: Joginder Singh, Gopendra Muduli, Sabari Veerapathiran, Arushi Rawat, Muneshwar Nandeshwar, Abhilash Sahu, Kohsuke Matsumoto, Osamu Tsutumi, Ganesan Prabusankar|2025|J.Mater.Chem.C|13|14251|doi:10.1039/D5TC01530H
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5281/zenodo.16044414
title: Positive drought feedbacks increase tree mortality risk in dry woodlands of the US Southwest

description: To be added later
DOI: 10.15468/dl.6bjmrb
title: Occurrence Download

description: A dataset containing 45 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Anethum graveolens",
 "Country is Brazil",
 "HasCoordinate is true"
 ]
}

 The dataset includes 45 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002140-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5rqt4b
title: Occurrence Download

description: A dataset containing 1 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 (Cardinalis cardinalis)",
 "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 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002142-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kjd5xp
title: Occurrence Download

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

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002143-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/2g0-h9l-4vr
title: Rumex angustifolius Campd.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.15468/dl.zq3wfp
title: Occurrence Download

description: A dataset containing 187 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Nerisyrenia incana"
 ]
}

 The dataset includes 187 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002141-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u2raac
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Fallopia forbesii",
 "Country is Japan",
 "HasCoordinate is true"
 ]
}

 The dataset includes 15 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002145-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16043469
title: Broiler house environmental data

description: The dataset contains environmental, aerial, and production data collected from four commercial broiler houses (Dark House), distributed in two batches, during the summer and winter seasons. Measurements were taken over six weeks, at three times per day (7:00 AM to 9:00 AM, 11:00 AM to 1:00 PM, and 3:00 PM to 5:00 PM), in twelve different sections of the house.
DOI: 10.5281/zenodo.16043470
title: Broiler house environmental data

description: The dataset contains environmental, aerial, and production data collected from four commercial broiler houses (Dark House), distributed in two batches, during the summer and winter seasons. Measurements were taken over six weeks, at three times per day (7:00 AM to 9:00 AM, 11:00 AM to 1:00 PM, and 3:00 PM to 5:00 PM), in twelve different sections of the house.
DOI: 10.15468/dl.x5mfr4
title: Occurrence Download

description: A dataset containing 16682 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Medicago truncatula"
 ]
}

 The dataset includes 16682 records from 221 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002144-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16044700
title: Quality of life of caregivers of children with sickle Cell diseases
DOI: 10.5281/zenodo.16044701
title: Quality of life of caregivers of children with sickle Cell diseases