cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0082550.10fu
title: SH0082550.10FU

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/sh0082551.10fu
title: SH0082551.10FU

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/sh0082552.10fu
title: SH0082552.10FU

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/sh0082553.10fu
title: SH0082553.10FU

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/sh0082554.10fu
title: SH0082554.10FU

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/sh0082555.10fu
title: SH0082555.10FU

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/sh0082556.10fu
title: SH0082556.10FU

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: 10.13145/bacdive14902.20251217.10
title: Streptomyces albidoflavus (Rossi Doria 1891) Waksman and Henrici 1948 emend. Nouioui et al. 2018

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.5281/zenodo.18162374
title: SWEDDIE soil temperature and moisture data

description: Soil temperature and moisture timeseries data, resolved by depth, from the Soil Warming to Depth Data Integration Effort (SWEDDIE). More information about the data and SWEDDIE available at the project github site.

File "sm.clean.ls_20250916.RDS" contains compiled and harmonized soil moisture data from SWEDDIE, saved in *.RDS format (readable by R).

File "st.clean.ls_20250916.RDS" contains compiled and harmonized soil temperature data from SWEDDIE, saved in *.RDS format (readable by R).
DOI: 10.15468/dl.8qscch
title: Occurrence Download

description: A dataset containing 27404 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-132.68784 17.40812,-37.31216 17.40812,-37.31216 55.59188,-132.68784 55.59188,-132.68784 17.40812))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Chauliognathus pensylvanicus",
 "Year 1970-2025"
 ]
}

 The dataset includes 27404 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059274-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m3wmvr
title: Occurrence Download

description: A dataset containing 318604 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is one of (North America, South America)",
 "OccurrenceStatus is Present",
 "TaxonKey is Apis mellifera Linnaeus, 1758"
 ]
}

 The dataset includes 318604 records from 259 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021176-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tubsuu
title: Occurrence Download

description: A dataset containing 4520 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "TaxonKey is Lepidochelys kempii Garman, 1880",
 "Year 1997-2023"
 ]
}

 The dataset includes 4520 records from 83 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021202-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pafdk7
title: Occurrence Download

description: A dataset containing 512 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-152.86916 63.64598,-152.86916 63.47579,-152.81577 63.47579,-152.81577 63.359,-152.6289 63.35566,-152.62223 63.30895,-152.43869 63.2956,-152.42868 62.94856,-152.12836 62.9519,-152.13503 62.88849,-152.08832 62.88849,-152.09833 62.7984,-152.17841 62.72499,-152.36528 62.71831,-152.36528 62.64156,-152.73902 62.63155,-152.74569 62.54813,-152.88584 62.54813,-152.88918 62.29118,-151.78466 62.28451,-151.77465 62.5548,-151.40425 62.54479,-151.3909 62.4647,-151.16732 62.4647,-151.16399 62.54479,-151.06722 62.59818,-150.98046 62.63489,-150.87034 62.63489,-150.86033 62.5815,-150.75021 62.5548,-150.05946 62.56148,-149.92265 62.65491,-149.77582 62.71164,-149.66904 62.7984,-149.59563 62.87848,-149.66904 62.94189,-150.03611 62.96191,-150.02609 63.04867,-150.02276 63.11207,-149.94267 63.15211,-149.83589 63.18214,-149.70909 63.2055,-149.64902 63.24221,-149.53223 63.21551,-149.35871 63.21218,-149.34536 63.2956,-148.98831 63.359,-148.84148 63.43575,-148.81479 63.52251,-148.80478 63.6026,-148.80478 63.69269,-148.93158 63.78613,-149.73912 63.78279,-149.7558 63.82951,-149.80252 63.83285,-149.79918 63.90959,-149.21188 63.91293,-149.21188 63.99636,-151.35753 63.99636,-151.46097 64.0097,-151.50435 64.04641,-151.56442 64.0731,-151.64451 64.06977,-151.798 64.06643,-151.86474 64.02639,-151.82804 63.99636,-152.05495 63.99302,-152.05161 63.82617,-152.22847 63.81616,-152.2318 63.65933,-152.86916 63.64598))",
 "TaxonKey is Ursus arctos Linnaeus, 1758"
 ]
}

 The dataset includes 512 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021203-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7944/3e06-5t80
title: Data and Code For: Highway crossing rates of wild felids before, during, and after wildlife crossing structure installation

description: Data and code for:
In an environment increasingly dominated by roads, wildlife crossing structures (WCS) have been installed to decrease wildlife mortality and improve habitat linkages. In South Texas, vehicle collisions have been a major mortality source for the endangered ocelot (Leopardus pardalis). To mitigate threats to this species, eight WCS, along with associated fencing, were

strategically placed along Farm-to-Market Road 106 (FM106), which passes through ocelot habitat. We assessed the rate of on-roadway crossings and WCS use by GPS-collared animals before, during, and after WCS installation using camera traps to verify WCS use. Because of the rarity of ocelots in this region, we supplemented ocelot data with data from bobcats (Lynx rufus), a similarly sized felid with slightly more general habitat preferences. Thirty-five animals, 30 bobcats and 5 ocelots, were tracked using GPS collars between 2013 and 2021. We observed a decline in the total number of crossings and on-roadway crossings of FM106 for both ocelots and bobcats over the duration of the study, despite controlling for factors such as an individual animal’s proximity to FM106. There were 37 documented crossings using WCS by GPS-marked bobcats while their collars were active. However, the rate of on-roadway crossings during the post-construction period was still higher than the WCS use rate for both species. Animals were more likely to make on-roadway crossings during nighttime especially during unusually bright nights. While controlling for other factors, both species moved more quickly when making on-roadway crossings compared to WCS crossings or non-crossing intervals but moved more slowly when traffic levels were higher than expected for that time of day. Animals may take years to acclimate to the presence of WCS, suggesting that the use of these structures may increase over time. Additional fencing could further help limit high-risk road encounters by ocelots in this region.
DOI: 10.15468/dl.6qg2qb
title: Occurrence Download

description: A dataset containing 20449 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Diplectrum formosum (Linnaeus, 1766)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 20449 records from 105 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021204-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k5shzg
title: Occurrence Download

description: A dataset containing 59875 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "License is one of (CC0 1.0, CC-BY 4.0, CC-BY-NC 4.0)",
 "OccurrenceStatus is Present",
 "TaxonKey is Pinus L."
 ]
}

 The dataset includes 59875 records from 256 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021205-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j5p586
title: Occurrence Download

description: A dataset containing 25973 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Echeneis naucrates Linnaeus, 1758",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 25973 records from 229 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021206-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25345/c5b56dh09
title: MassIVE MSV000096598 - Proteomic analysis of the venom of Bothriechis nubestris
title: Proteomic analysis of the venom of Bothriechis nubestris
DOI: 10.15468/dl.hq3jxp
title: Occurrence Download

description: A dataset containing 7616 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Myrmecophaga tridactyla Linnaeus, 1758"
 ]
}

 The dataset includes 7616 records from 228 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021207-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s9cyt6
title: Occurrence Download

description: A dataset containing 111 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Machine Observation, Human Observation, Material citation)",
 "Continent is North America",
 "TaxonKey is Mustela vison Schreber, 1777",
 "Year 1901-2024"
 ]
}

 The dataset includes 111 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021209-241126133413365/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.27976818
title: GCM biascorrected

description: Normalizing flow, quantile mapping, and canonical correlation analysis based bias-corrected datasets for GFDL's ESM4, ACCESS-CM2, NorESM2-LM, MRI-ESM2-0, and MPI-ESM1-2-HR. <br>
DOI: 10.15468/dl.j7924n
title: Occurrence Download

description: A dataset containing 62813 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Machine Observation, Human Observation, Material citation)",
 "Continent is Europe",
 "TaxonKey is Mustela vison Schreber, 1777",
 "Year 1901-2024"
 ]
}

 The dataset includes 62813 records from 327 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021208-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g5dxzw
title: Occurrence Download

description: A dataset containing 18462 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Echeneis neucratoides Zuiew, 1789",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 18462 records from 64 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021210-241126133413365/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.27976776
title: <b>Which </b><b>f</b><b>actors influence </b><b>t</b><b>utor </b><b>c</b><b>ollaboration in online delivery </b><b>in Higher Education?</b>

description: The aim of this study is to investigate the factors facilitating collaboration among higher education tutors during the pandemic-induced shift to exclusive online delivery. Literature has remained scarce on this exact topic and context. This study, conducted at an English Language Teaching Centre affiliated with a UK university, highlights key factors for successful online collaboration. According to the findings, these are: training and support from peers and leadership, frequent professional interaction, and trust. Negative factors, such as contract length, time constraints, and excessive informal interaction, were also identified. Participants suggested increasing opportunities for expertise sharing to enhance tutor cooperation. Questionnaires and interviews were used to gather quantitative and qualitative data. A thorough thematic analysis was employed to analyse and interpret the evidence gathered. This research can serve as a foundation for future studies on enhancing staff collaboration in online or hybrid teaching environments.
DOI: 10.6084/m9.figshare.27976776.v2
title: <b>Which </b><b>f</b><b>actors influence </b><b>t</b><b>utor </b><b>c</b><b>ollaboration in online delivery </b><b>in Higher Education?</b>

description: The aim of this study is to investigate the factors facilitating collaboration among higher education tutors during the pandemic-induced shift to exclusive online delivery. Literature has remained scarce on this exact topic and context. This study, conducted at an English Language Teaching Centre affiliated with a UK university, highlights key factors for successful online collaboration. According to the findings, these are: training and support from peers and leadership, frequent professional interaction, and trust. Negative factors, such as contract length, time constraints, and excessive informal interaction, were also identified. Participants suggested increasing opportunities for expertise sharing to enhance tutor cooperation. Questionnaires and interviews were used to gather quantitative and qualitative data. A thorough thematic analysis was employed to analyse and interpret the evidence gathered. This research can serve as a foundation for future studies on enhancing staff collaboration in online or hybrid teaching environments.
DOI: 10.6084/m9.figshare.27976776.v1
title: Appendix 1. Research questionnaire

description: The aim of this study is to investigate the factors facilitating collaboration among higher education tutors during the pandemic-induced shift to exclusive online delivery. Literature has remained scarce on this exact topic and context. This study, conducted at an English Language Teaching Centre affiliated with a UK university, highlights key factors for successful online collaboration. According to the findings, these are: training and support from peers and leadership, frequent professional interaction, and trust. Negative factors, such as contract length, time constraints, and excessive informal interaction, were also identified. Participants suggested increasing opportunities for expertise sharing to enhance tutor cooperation. Questionnaires and interviews were used to gather quantitative and qualitative data. A thorough thematic analysis was employed to analyse and interpret the evidence gathered. This research can serve as a foundation for future studies on enhancing staff collaboration in online or hybrid teaching environments.
DOI: 10.57967/hf/3723
title: diverse_calculation
DOI: 10.57967/hf/3724
title: diverse_calculation
DOI: 10.15468/dl.f2uaa9
title: Occurrence Download

description: A dataset containing 199 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Echiophis intertinctus (Richardson, 1848)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 199 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021211-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nxbgqv
title: Occurrence Download

description: A dataset containing 4411 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Türkiye, Russian Federation, Georgia, Ukraine, Armenia)",
 "TaxonKey is one of (Verbascum spectabile M.Bieb., Verbascum spectabile Salisb., Verbascum spectabile var. isandrum Hub.-Mor., Verbascum thapsus L.)"
 ]
}

 The dataset includes 4411 records from 70 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021214-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.