cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7419088
title: Active gas seepage in western Spitsbergen fjords, Svalbard archipelago: spatial extent and geological controls

description: The following digital data package is provided as part of the submission of the publication Rodes et al. (in review) <em>Active gas seepage in western Spitsbergen fjords, Svalbard archipelago: spatial extent and geological controls</em>, considered for publication in the journal Frontiers in Earth Science. The dataset contains the distribution and characteristics of the gas flares observed during the HE-449 cruise in 2015 and the GASGEM cruise in 2021. Moreover, it contains the interpreted outcropping areas of the geological units in Isfjorden and Van Mijenfjorden. Each dataset is provided in GeoJSON, Geopackage and Shapefile file extensions.
DOI: 10.15156/bio/sh1090975.09fu
title: SH1090975.09FU

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/sh1090976.09fu
title: SH1090976.09FU

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/sh1090977.09fu
title: SH1090977.09FU

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/sh1090978.09fu
title: SH1090978.09FU

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/sh1090979.09fu
title: SH1090979.09FU

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/sh1090980.09fu
title: SH1090980.09FU

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/sh1090981.09fu
title: SH1090981.09FU

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/sh1090982.09fu
title: SH1090982.09FU

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: 10.6084/m9.figshare.28787801
title: Zadravec et al. raw data and R code

description: Thermoregulation has a significant role in the life of many ectotherms, who mostly rely on external heat sources. Due to rapid fluctuations in thermal environment induced by global climate change, ectotherms face significant challenges. Reptilian thermoregulation has long been studied, with recent work exploring the impacts of climate change, but there are still many unknowns. <i>Vipera ammodytes</i> is a widely distributed snake in southeastern Europe, Turkey and the Caucasus that occupies various habitats and is an important mesopredator in the ecosystem. Yet, there is a severe gap of knowledge on its thermal ecology. To investigate the environmental adaptability of <i>V. ammodytes</i> in the context of climate change, we studied three populations of the northwestern clade within Croatia over five years. Neither location nor sex nor their interaction had a statistically significant influence on field body temperatures. Out of the variables explored in the analyses, air temperature was the only one important for snakes’ body temperature for all populations, while the influence of other variables was population-specific. Those variables were still shown to be important indicators of differences between the populations studied. This suggests <i>V. ammodytes</i> employs flexible thermoregulation strategies depending on their environment, which may prove essential in their survival in a rapidly changing thermal environment due to climate change. The differences in strategies need to be considered when planning and implementing conservation actions.
DOI: 10.6084/m9.figshare.28787801.v1
title: Zadravec et al. raw data and R code

description: Thermoregulation has a significant role in the life of many ectotherms, who mostly rely on external heat sources. Due to rapid fluctuations in thermal environment induced by global climate change, ectotherms face significant challenges. Reptilian thermoregulation has long been studied, with recent work exploring the impacts of climate change, but there are still many unknowns. <i>Vipera ammodytes</i> is a widely distributed snake in southeastern Europe, Turkey and the Caucasus that occupies various habitats and is an important mesopredator in the ecosystem. Yet, there is a severe gap of knowledge on its thermal ecology. To investigate the environmental adaptability of <i>V. ammodytes</i> in the context of climate change, we studied three populations of the northwestern clade within Croatia over five years. Neither location nor sex nor their interaction had a statistically significant influence on field body temperatures. Out of the variables explored in the analyses, air temperature was the only one important for snakes’ body temperature for all populations, while the influence of other variables was population-specific. Those variables were still shown to be important indicators of differences between the populations studied. This suggests <i>V. ammodytes</i> employs flexible thermoregulation strategies depending on their environment, which may prove essential in their survival in a rapidly changing thermal environment due to climate change. The differences in strategies need to be considered when planning and implementing conservation actions.
DOI: 10.15468/dl.h72rpw
title: Occurrence Download

description: A dataset containing 60665 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((5.525 51.925,5.575 51.925,5.575 51.975,5.525 51.975,5.525 51.925))",
 "DatasetKey is Observation.org, Nature data from around the World",
 "TaxonKey is Animalia"
 ]
}

 The dataset includes 60665 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0306339-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4mkiuk
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Stangea paulae Graebn."
 ]
}

 The dataset includes 6 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008849-180824113759888/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h8wpvp
title: Occurrence Download

description: A dataset containing 740746 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Corylus avellana L.",
 "HasCoordinate is true"
 ]
}

 The dataset includes 740746 records from 989 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0298459-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rt9mez
title: Occurrence Download

description: A dataset containing 1396 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-100.97409 18.19258,-96.53081 18.19258,-96.53081 21.33284,-100.97409 21.33284,-100.97409 18.19258))",
 "HasGeospatialIssue is false",
 "TaxonKey is Abies religiosa (Kunth) Schltdl. & Cham."
 ]
}

 The dataset includes 1396 records from 45 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0393698-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4yevfk
title: Occurrence Download

description: A dataset containing 11744 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((5.525 51.875,5.575 51.875,5.575 51.925,5.525 51.925,5.525 51.875))",
 "DatasetKey is Observation.org, Nature data from around the World",
 "TaxonKey is Animalia"
 ]
}

 The dataset includes 11744 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0306340-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.idafrz
title: Occurrence Download

description: A dataset containing 136855 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Occurrence records of southern African aquatic biodiversity"
 ]
}

 The dataset includes 136855 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008849-181003121212138/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ag5kmb
title: Occurrence Download

description: A dataset containing 1382 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "TaxonKey is Squalius pyrenaicus (Günther, 1868)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1382 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0221190-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u37skk
title: Occurrence Download

description: A dataset containing 1717 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Specimen"
 ]
 },
 "TaxonKey is Myotis nigricans (Schinz, 1821)",
 "Year 1980-2021"
 ]
}

 The dataset includes 1717 records from 108 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0316256-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wxurkf
title: Occurrence Download

description: A dataset containing 25877 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Balearica regulorum (E.T.Bennett, 1834)"
 ]
}

 The dataset includes 25877 records from 60 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008849-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.4121/8ce1a22f-16a4-450e-b24a-775278cad7a1
title: Data and code underlying the publication: "Framework for evaluating photon-counting detectors under pile-up conditions"

description: This repository contains the data and code for our paper<br>David Leibold, Stefan J. van der Sar, Marlies C. Goorden, Dennis R. Schaart, Framework for evaluating photon-counting detectors under pile-up conditions, <em style="background-color:rgb(255, 250, 234);">J. Med. Imag.</em> <strong style="background-color:rgb(255, 250, 234);">11</strong>(S1), S12802 (2024), doi: 10.1117/1.JMI.11.S1.S12802. <br>The objective of the publication is a framework that aims to evaluate PCDs under pile-up conditions by employing a small-signal analysis. In this repository you will find the raw data of energy depositions in a pixel array obtained via Monte-Carlo simulations (stored as .root files), the Python scripts for performing the pulse train analysis and the calculation of the perturbation point spread function, as well as the Python scripts for creating the plots shown in the abovementioned publication, along with the actual plots (.png, .pdf) and the plotted data (.npy files). For an in-depth description of this repository we refer to the REAMDE.md file, which can be opened with any text editor. It also contains instructions for setting up a Python environment with all required dependencies, and instructions for using the scripts performing the pulse train analysis.
DOI: 10.15468/dl.ct7rej
title: Occurrence Download

description: A dataset containing 34258 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Animal Sound Archive"
 ]
}

 The dataset includes 34258 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006099-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mgkf3k
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Specimen"
 ]
 },
 "TaxonKey is Xenomys nelsoni Merriam, 1892",
 "Year 1980-2021"
 ]
}

 The dataset includes 18 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0316264-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2rs93e
title: Occurrence Download

description: A dataset containing 5413 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Distribution and abundance of different bat species in the interior of Arabuko-Sokoke Forest and adjacent farmlands in Gede, Kilifi County, Kenya"
 ]
}

 The dataset includes 5413 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0239810-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xe9ftv
title: Occurrence Download

description: A dataset containing 12437 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Material sample",
 "BasisOfRecord is Specimen"
 ]
 },
 "Country is Mexico",
 "TaxonKey is Myotis Kaup, 1829"
 ]
}

 The dataset includes 12437 records from 103 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0082205-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wg56kz
title: Occurrence Download

description: A dataset containing 1754 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((5.525 51.825,5.575 51.825,5.575 51.875,5.525 51.875,5.525 51.825))",
 "DatasetKey is Observation.org, Nature data from around the World",
 "TaxonKey is Animalia"
 ]
}

 The dataset includes 1754 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0306341-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4nh5yw
title: Occurrence Download

description: A dataset containing 384 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is CHE.22.1.8_1",
 "TaxonKey is Bryophyta"
 ]
}

 The dataset includes 384 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0325240-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.832zad
title: Occurrence Download

description: A dataset containing 1736 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Catreus wallichii (Hardwicke, 1827)"
 ]
}

 The dataset includes 1736 records from 48 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0082207-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sywq5d
title: Occurrence Download

description: A dataset containing 273 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Macaca silenus (Linnaeus, 1758)"
 ]
}

 The dataset includes 273 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0306352-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.