cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3535/31j-3b7-aa8
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/f3w-eqn-x5j
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/9km-bbp-81z
title: Pseudopus

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/j0j-qsa-pzc
title: Elaphe

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/kmk-mq3-h6v
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/z36-wkm-5vn
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.15468/dl.w8wdsg
title: Occurrence Download

description: A dataset containing 13062155 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Machine Observation, Material citation, Fossil, Living Specimen, Occurrence evidence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year 2020-2025"
 ]
}

 The dataset includes 13062155 records from 4460 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019028-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18672990
title: МИНТАҚАДА САНОАТ ТАРМОҚЛАРИ ИННОВАЦИОН РИВОЖЛАНИШНИ АҚШ ТАЖРИБАСИ

description: Ривожланган иқтисодиётга эга ҳар бир давлат миллий саноат мажмуасини ривожлантириш лойиҳасини қўллаб қувватлашда инновацион юқори технологик маҳсулотларни ривожлантиришга эътибор қаратилишига урғу берилган. АҚШнинг саноат тармоғини ривожлантириш бўйича тажрибасига бирма-бир тўхталган.
DOI: 10.15468/dl.awx2te
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Bryum oblongum)",
 "Country is one of (Norway)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "CoordinateUncertaintyInMeters is less than or equal to 1000",
 "Year is greater than or equal to 1986",
 "Year is less than or equal to 2025",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 },
 {
 "not" : {
 "BasisOfRecord" : [
 "is Machine Observation"
 ]
 }
 }
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024808-260208012135463/datasets/export for details.
DOI: 10.5281/zenodo.18672989
title: МИНТАҚАДА САНОАТ ТАРМОҚЛАРИ ИННОВАЦИОН РИВОЖЛАНИШНИ АҚШ ТАЖРИБАСИ

description: Ривожланган иқтисодиётга эга ҳар бир давлат миллий саноат мажмуасини ривожлантириш лойиҳасини қўллаб қувватлашда инновацион юқори технологик маҳсулотларни ривожлантиришга эътибор қаратилишига урғу берилган. АҚШнинг саноат тармоғини ривожлантириш бўйича тажрибасига бирма-бир тўхталган.
DOI: 10.15468/dl.xagsq6
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Bryum marratii)",
 "Country is one of (Norway)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "CoordinateUncertaintyInMeters is less than or equal to 1000",
 "Year is greater than or equal to 1986",
 "Year is less than or equal to 2025",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 },
 {
 "not" : {
 "BasisOfRecord" : [
 "is Machine Observation"
 ]
 }
 }
 ]
}

 The dataset includes 6 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024807-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17603/ds2-5jjx-qe36
title: Hurricane Ian Reconnaissance, in StEER/RAPID: Hurricane Ian

description: This project contains imagery collected from uncrewed aircraft system (UAS) flights over three barrier islands, Fort Myers Beach (FMB), San Carlos (SC), and Sanibel Island (SI), that are near Fort Myers, Florida, following Hurricane Ian. These barrier islands had substantial impacts from the hurricane, including the destruction of many residences and infrastructure, coastal degradation, and other environmental impacts. The imagery here was collected using a low-flying fixed-wing UAS with a high-resolution camera system that simultaneously collected oblique and nadir images from five lenses. The raw data set is very comprehensive and very dense. The extent of the collected data can be seen in the Hazmapper map. 

The data was processed into 3D models using structure from motion. The resulting 3D models have amazing damage detail and are measurement quality. They can be used to fully characterize damage to buildings, infrastructure, and the natural environment. The complete models are available here, with one model developed for each UAS flight (18 total flights). However, the complete models are very large data sets and require significant GPU power to open and manipulate. Thus, the data set is also divided into “tiled” areas on a 300-meter grid. Each tiled area is provided in both a full-resolution 3D model and a reduced-resolution preview that can be used for quick inspection. 

The abbreviations for Fort Myers Beach (FMB), San Carlos (SC), and Sanibel Island (SI) are used throughout. 

The data set was collected and processed by the NHERI RAPID Facility and was part of the deployment by the Structural Engineering Extreme Events Reconnaissance Network (StEER).
DOI: 10.7802/2847
title: An archive and corpus of Twitter/X's policies for Tweet redistribution 2006-2023
DOI: 10.7802/2848
title: JOLanDA Jugendbefragung 2022
DOI: 10.15156/bio/sh1394042.10fu
title: SH1394042.10FU

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: 10.7802/2849
title: PENLEG II
DOI: 10.7802/2850
title: Aktivitäten und Ausgaben deutscher Nicht-Reisender im Jahr 2022
DOI: 10.7802/2852
title: Alterssicherung in Deutschland 2019 (ASID 2019)
DOI: 10.15156/bio/sh1394043.10fu
title: SH1394043.10FU

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: 10.7802/2853
title: Replication material: Regional differences in digitalisation and their impact on young people’s status attainment in vocational education and training
DOI: 10.15156/bio/sh1394046.10fu
title: SH1394046.10FU

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: 10.7802/2854
title: StateParl
DOI: 10.7802/2855
title: United Nations General Assembly Resolutions: Voting Data and Issue Categories
DOI: 10.15156/bio/sh1394047.10fu
title: SH1394047.10FU

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: 10.7802/2856
title: Food for Justice: Power, Politics, and Food Inequalities in a Bioeconomy (Marcha das Margaridas 2019)
DOI: 10.7802/2857
title: Food for Justice: Power, Politics, and Food Inequalities in a Bioeconomy (Marcha das Margaridas 2023)
DOI: 10.15156/bio/sh1394048.10fu
title: SH1394048.10FU

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/sh1394050.10fu
title: SH1394050.10FU

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: 10.7802/2859
title: Levels of Curation, Appraisal, Digital Preservation and Reuse in Successful CoreTrustSeal Applications 2017-2023
DOI: 10.7802/2860
title: Tweetplomacy 23 – An Annotated Collection of Tweets Outlining Strategies of Political Risk Communication during Global Crises (2018-2023)
DOI: 10.15156/bio/sh1394053.10fu
title: SH1394053.10FU

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: 10.7802/2862
title: Social Media Accounts (TikTok, YouTube, X/Twitter) of the Candidates in the 2025 German Federal Election
DOI: 10.7802/2863
title: News on TikTok: An Annotated Dataset of TikTok Videos from German-Speaking News Outlets in 2023
DOI: 10.15156/bio/sh1394054.10fu
title: SH1394054.10FU

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: 10.7802/2866
title: Daten und Code/Syntax: Fridays for Future und die Letzte Generation. Eine Mixed-Methods-Analyse zur Wahrnehmung von friedlichen und disruptiven Formen des Klimaprotests
DOI: 10.7802/2867
title: Pune Household Food-Water-Energy Nexus Consumption Survey
DOI: 10.7802/2868
title: District-level socio-economic data for Uzbekistan
DOI: 10.15156/bio/sh1394057.10fu
title: SH1394057.10FU

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: 10.7802/2870
title: AdmInCit-quan-fornat. German foreigner and naturalization data at the state-, governing district- and county level, 2000-2021
DOI: 10.7802/2871
title: Replication material: Adaptations in Youths’ Willingness to Be Spatially Mobile: Influence of Status Aspirations and Regional Disparities
DOI: 10.15156/bio/sh1394058.10fu
title: SH1394058.10FU

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: 10.3535/7nk-cpn-x6z
title: Eriocoma hymenoides (Roem. & Schult.) Rydb.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/a3m-8lp-td6
title: Alopecurus aequalis Sobol.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/1wy-hwb-sw0
title: Poa bulbosa L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/6kw-a13-mkh
title: Stuckenia pectinata (L.) Börner

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/als-9c6-p1f
title: Pilosella heterodoxa (Tausch) Soják

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/3yd-6p5-mfy
title: Poa bulbosa L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/rd9-9zc-j8j
title: Poa bulbosa L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.5281/zenodo.16593893
title: Responses_BRev0.BRev1_Language Learning Application Survey

description: This is a survey response regarding user experience in using a language learning application (the questions are set in UEQ style)
DOI: 10.5281/zenodo.16593894
title: Responses_BRev0.BRev1_Language Learning Application Survey

description: This is a survey response regarding user experience in using a language learning application (the questions are set in UEQ style)
DOI: 10.3535/vqe-z7g-nqc
title: Molinia caerulea (L.) Moench

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/kk8-tln-vrr
title: Alyssoides utriculata (L.) Medik.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/ynf-mkg-k5z
title: Pilosella auriculoides (Láng) Arv.-Touv.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/401-elx-yw3
title: Thecocarpus carvifolius (Boiss. & Balansa) Hedge & Lamond

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/64f-g1k-cba
title: Saussurea columnaris Hand.-Mazz.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/244-qnq-zj5
title: Aegilops triuncialis L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.15468/dl.4q3qwp
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Brugmansia candida",
 "Country is Cuba",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071194-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/0ge-1bl-37r
title: Rhododendron coelicum Balf. fil. & Farrer

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/xt2-a5c-fn2
title: Molinia caerulea (L.) Moench

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/3ge-mx1-m96
title: Agrostis stolonifera L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/3v0-r2f-w0f
title: Agrostis gigantea Roth

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/7jv-m72-063
title: Scleria terrestris (L.) Fassett

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/crs-tw0-f44
title: Agrostis stolonifera L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/sjk-gll-hra
title: Rhododendron concinnum Hemsl.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/tfl-dv8-wgv
title: Viburnum chingii P. S. Hsu

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/yw4-904-fkn
title: Agrostis stolonifera L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/7cv-x30-m4c
title: Agrostis gigantea Roth

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/89v-pdf-f4t
title: Meliosma cuneifolia var. glabriuscula Cufod.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/7rd-ftq-9ax
title: Hieracium sabaudum L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/jer-bjw-1k9
title: Teucrium thymifolium Schreb.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/bb3-b0g-q2r
title: Pilosella officinarum Vaill.

description: Digital Specimen for the physical specimen hosted at University of Graz.