cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0206345.10fu
title: SH0206345.10FU

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/sh0206346.10fu
title: SH0206346.10FU

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/sh0206347.10fu
title: SH0206347.10FU

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/sh0206348.10fu
title: SH0206348.10FU

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/sh0206349.10fu
title: SH0206349.10FU

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/sh0206350.10fu
title: SH0206350.10FU

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/sh0206351.10fu
title: SH0206351.10FU

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/sh0206352.10fu
title: SH0206352.10FU

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/sh0206353.10fu
title: SH0206353.10FU

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: 10.20350/digitalcsic/14007
title: Feathers turn grey: cross-sectional and longitudinal data from red-necked nightjars

description: Data set supporting the results of the article “Feathers turn grey: patterns and predictors of progressive greying in a cryptic nocturnal bird”, submitted for publication in October 2021. The readme file contains information about the header cells in the datasets. Questions should be addressed to Carlos Camacho (ccamacholmedo@gmail.com). This data set is subjected to a Creative Commons Attribution 4.0 International Licence
description: This data set includes measurements of the prevalence of unpigmented (leucistic) feathers in red-necked nightjars (Caprimulgus ruficollis). Data on date of capture, sex, age, presence-absence of leucistic feathers and body size of each individual are also included in the data set. Fieldwork was carried out between 19 April 2016 and 15 October 2020 (5 years) in a protected area of the Doñana Natural Park (Spain). Nightjars were captured during the night (1-6 h after sunset) along a 24-km road transect using a butterfly net, measured for standard morphological traits and examined for the presence of leucistic feathers
DOI: 10.5281/zenodo.14882051
title: Dissense smart sensor and reference measurement data of various seawater and air variables

description: Collection of reference measurement data of seawater's temperature, salinity, dissolved oxygen, pCO2 and pH, air's temperature, humidity and pressure, alongside the raw measurements from the prototype sensor (Dissense) with the aim of effective AI training. Establishment and optimisation of a protocol for simultaneous control of temperature, salinity and pCO2 at various levels and successful calibration and test of the Dissense device using Poseidon Calibration Lab’s high-precision reference sensors.
DOI: 10.5281/zenodo.14882052
title: Dissense smart sensor and reference measurement data of various seawater and air variables

description: Collection of reference measurement data of seawater's temperature, salinity, dissolved oxygen, pCO2 and pH, air's temperature, humidity and pressure, alongside the raw measurements from the prototype sensor (Dissense) with the aim of effective AI training. Establishment and optimisation of a protocol for simultaneous control of temperature, salinity and pCO2 at various levels and successful calibration and test of the Dissense device using Poseidon Calibration Lab’s high-precision reference sensors.
DOI: 10.15468/dl.gqwyk4
title: Occurrence Download

description: A dataset containing 91 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Maxillaria miniata (Lindl.) L.O.Williams"
 ]
}

 The dataset includes 91 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001579-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k5mtcs
title: Occurrence Download

description: A dataset containing 217 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-80.13505 -0.33775,0.99853 -0.33775,0.99853 54.69504,-80.13505 54.69504,-80.13505 -0.33775))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Prionace glauca (Linnaeus, 1758)",
 "Year 2000-2010"
 ]
}

 The dataset includes 217 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001580-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5zvtvs
title: Occurrence Download

description: A dataset containing 933552 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((99.95407 13.39998,101.03309 13.39998,101.03309 14.16542,99.95407 14.16542,99.95407 13.39998))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 933552 records from 221 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001570-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14892157
title: Decomposition Behavior of FeOOH and the Influence on Deep Focus Earthquakes
DOI: 10.15468/dl.bu24na
title: Occurrence Download

description: A dataset containing 523 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Nardostachys jatamansi (D.Don) DC."
 ]
}

 The dataset includes 523 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001582-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14887535
title: Dataset regarding the Paleogeography of a lake and river system in north-eastern Mecklenburg Bay, southern Baltic Sea

description: Please refer to the article: Paleogeography of a lake and river system in north-easternMecklenburg Bay, southern Baltic Sea, ..., .... doi:.... for further information on the datasets. 

 

Seismic Lines (.sgy files)

Seismic Lines in segy format in the area SW of the Darss Sill.

Data were recorded during research survey 176 of Elisabeth Mann Borgese between the 16. and 18. of February 2018.

Data were recorded with an Innomar SES Medium parametric echo sounder and subsequently converted to segy file format using the native INNOMAR converter software.

Side Scan Sonar backscatter mosaics (.tif and .png files)

Various mosaics from the archive of the Leibniz Institute for Baltic Sea Research (IOW).

Files starting with "u" were recorded by vessels of the Bundesamt für Seeschiffahrt und Hydrographie (BSH) and processed at IOW. The coordinate system of the files is defined by:

PROJCRS["WGS_1984_Mercator",BASEGEOGCRS["WGS 84",DATUM["World Geodetic System 1984",ELLIPSOID["WGS 84",6378137,298.257223563,LENGTHUNIT["metre",1],ID["EPSG",7030]]],PRIMEM["Greenwich",0,ANGLEUNIT["Degree",0.0174532925199433]]],CONVERSION["unnamed",METHOD["Mercator (variant B)",ID["EPSG",9805]],PARAMETER["False easting",0,LENGTHUNIT["metre",1],ID["EPSG",8806]],PARAMETER["False northing",0,LENGTHUNIT["metre",1],ID["EPSG",8807]],PARAMETER["Longitude of natural origin",0,ANGLEUNIT["Degree",0.0174532925199433],ID["EPSG",8802]],PARAMETER["Latitude of 1st standard parallel",54,ANGLEUNIT["Degree",0.0174532925199433],ID["EPSG",8823]]],CS[Cartesian,2],AXIS["easting",east,ORDER[1],LENGTHUNIT["metre",1,ID["EPSG",9001]]],AXIS["northing",north,ORDER[2],LENGTHUNIT["metre",1,ID["EPSG",9001]]]]

For all other files, projection files are provided.
DOI: 10.5281/zenodo.14887536
title: Dataset regarding the Paleogeography of a lake and river system in north-eastern Mecklenburg Bay, southern Baltic Sea

description: Please refer to the article: Paleogeography of a lake and river system in north-easternMecklenburg Bay, southern Baltic Sea, ..., .... doi:.... for further information on the datasets. 

 

Seismic Lines (.sgy files)

Seismic Lines in segy format in the area SW of the Darss Sill.

Data were recorded during research survey 176 of Elisabeth Mann Borgese between the 16. and 18. of February 2018.

Data were recorded with an Innomar SES Medium parametric echo sounder and subsequently converted to segy file format using the native INNOMAR converter software.

Side Scan Sonar backscatter mosaics (.tif and .png files)

Various mosaics from the archive of the Leibniz Institute for Baltic Sea Research (IOW).

Files starting with "u" were recorded by vessels of the Bundesamt für Seeschiffahrt und Hydrographie (BSH) and processed at IOW. The coordinate system of the files is defined by:

PROJCRS["WGS_1984_Mercator",BASEGEOGCRS["WGS 84",DATUM["World Geodetic System 1984",ELLIPSOID["WGS 84",6378137,298.257223563,LENGTHUNIT["metre",1],ID["EPSG",7030]]],PRIMEM["Greenwich",0,ANGLEUNIT["Degree",0.0174532925199433]]],CONVERSION["unnamed",METHOD["Mercator (variant B)",ID["EPSG",9805]],PARAMETER["False easting",0,LENGTHUNIT["metre",1],ID["EPSG",8806]],PARAMETER["False northing",0,LENGTHUNIT["metre",1],ID["EPSG",8807]],PARAMETER["Longitude of natural origin",0,ANGLEUNIT["Degree",0.0174532925199433],ID["EPSG",8802]],PARAMETER["Latitude of 1st standard parallel",54,ANGLEUNIT["Degree",0.0174532925199433],ID["EPSG",8823]]],CS[Cartesian,2],AXIS["easting",east,ORDER[1],LENGTHUNIT["metre",1,ID["EPSG",9001]]],AXIS["northing",north,ORDER[2],LENGTHUNIT["metre",1,ID["EPSG",9001]]]]

For all other files, projection files are provided.
DOI: 10.20350/digitalcsic/12678
title: Colouration of spotless starling nestlings shows genetic and environmentally determined characteristics while begging for food [Dataset]

description: Data sampled in “Hoya de Guadix”, Granada, Spain, during breeding seasons (March-July) 2016 and 2019.
description: Data file includes information about identity of each sampled starling nestling, the experiment and treatment assigned to them, biometric measurements on day 10 and day 14, and measurements of colour variables. Colour variables include colouration of eggshells (measured as Brightness and Blue-green chroma for eggs laid on the nest where each nestling was born (nest of origin), and the eggs laid on the nest where each nestling grew (nest of rearing)), and colouration of begging related traits (measured as Mean bright, Total hue, UV hue, Yellow-red hue, UV croma, Yellow-red chroma and Carotenoid chroma) for each body part (mouth, flanges and skin). The data set also includes the plasma carotenoid concentration of each sampled nestling.
DOI: 10.6084/m9.figshare.26885947
title: Post appointmentdiscussion- updated.docx

description: Dataset for the student workbook study<br>
DOI: 10.15468/dl.8fmfwq
title: Occurrence Download

description: A dataset containing 16604 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Iberian Odonata distribution: data of the BOS Arthropod Collection (Univ. Oviedo, Spain)"
 ]
}

 The dataset includes 16604 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001584-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6jk3pn
title: Occurrence Download

description: A dataset containing 354 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hyalomma aegyptium Linnaeus, 1758"
 ]
}

 The dataset includes 354 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0102316-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.veve5x
title: Occurrence Download

description: A dataset containing 171 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Alien Species in Poland - Animals"
 ]
}

 The dataset includes 171 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001585-250218110819086/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.28443797
title: Pre appointment workbook based discussion.docx

description: Pre appointment data
DOI: 10.15468/dl.5w9jtc
title: Occurrence Download

description: A dataset containing 59 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bactrocera carambolae Drew & Hancock, 1994",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 2000",
 "CoordinateUncertaintyInMeters is less than 5000",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Specimen)"
 ]
 }
 },
 {
 "not" : {
 "InstitutionCode" : [
 "is one of (iNaturalist)"
 ]
 }
 }
 ]
}

 The dataset includes 59 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001587-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fzjhvs
title: Occurrence Download

description: A dataset containing 34587 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Austrobaileyales",
 "HasCoordinate is true"
 ]
}

 The dataset includes 34587 records from 314 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001588-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mubd9s
title: Occurrence Download

description: A dataset containing 1202 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Month is one of (March, April, May, June, July, August, September, October, November, December)",
 "OccurrenceStatus is Present",
 "TaxonKey is Anas georgica J.F.Gmelin, 1789",
 "Year 2010-2010"
 ]
}

 The dataset includes 1202 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001589-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.