cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.13145/bacdive114721.20241212.9.2
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0106596.10fu
title: SH0106596.10FU

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/bacdive114721.20251217.10
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive114722.20241212.9.2
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0106597.10fu
title: SH0106597.10FU

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/bacdive114722.20251217.10
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive114723.20241212.9.2
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0106598.10fu
title: SH0106598.10FU

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/bacdive114723.20251217.10
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive114724.20241212.9.2
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0106599.10fu
title: SH0106599.10FU

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/bacdive114724.20251217.10
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive114725.20241212.9.2
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0106600.10fu
title: SH0106600.10FU

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/bacdive114725.20251217.10
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive114726.20241212.9.2
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0106601.10fu
title: SH0106601.10FU

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/bacdive114726.20251217.10
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive114727.20241212.9.2
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0106602.10fu
title: SH0106602.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15468/dl.wyqhm7
title: Occurrence Download

description: A dataset containing 1350 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Canada",
 "Country is Canada"
 ]
 },
 "TaxonKey is one of (Morone americana (Gmelin, 1789))"
 ]
}

 The dataset includes 1350 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013199-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17313090
title: Daten der Notaufnahmesurveillance

description: Der Datensatz "Daten der Notaufnahmesurveillance" wird durch das Robert Koch-Institut und das AKTIN-Notaufnahmeregister bei Krankenhausaufnahmen bereitgestellt. Der Datensatz beinhaltet aggregierte Routinedaten aus deutschen Notaufnahmen zur syndromischen Überwachung von akuten Erkrankungen. Dazu zählen grippeähnliche Erkrankungen (ILI), Coronavirus-Erkrankungen (COVID-19), akute respiratorische Erkrankungen (ARE), gastrointestinale Infektionen (GI) und schwere akute respiratorische Infektionen (SARI). Dabei wird der relative Anteil dieser Erkrankungen an der Gesamtzahl der Notaufnahmevorstellungen sowie die berechneten Erwartungswerte und Prädiktionsintervalle ausgewiesen. Die Daten sind nach Notaufnahmetypen und Altersgruppen aggregiert. Damit bietet der Datensatz eine wertvolle Ressource für die Forschung im Bereich der Notfallmedizin und der Überwachung akuter Gesundheitsereignisse in Deutschland.
DOI: 10.15468/dl.tvrjv3
title: Occurrence Download

description: A dataset containing 3526 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Agrilus sulcicollis Lacordaire, 1835",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3526 records from 155 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021874-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13385488
title: Four-Decade (1979-2022) Daily Global Snow Cover Fraction Climate Data Record from AVHRR (Version 3.0)

description:  

VERSION UPDATE NOTE: 

This version 3.0 composited dataset will not be publicly availble since January 2025. This composited dataset is generated with ESA CCI AVHRR SCF V3.0 products for single sensor, which are available at the website https://catalogue.ceda.ac.uk/uuid/7491427f8c3442ce825ba5472c224322/ and https://catalogue.ceda.ac.uk/uuid/56ff07acabab42888afe2d20b488ec49/.  Anyone interested in AVHRR SCF V3.0 product can test the composite processing according to your needs.

Moreover, our new version dataset (Version 4.0), including the daily compoisted AVHRR SCF product, will be avaiable soon. Given some obvious underestimation errors and missing errors of snow cover pixels in AVHRR 3.0 SCF products, we have done significant improvements for our updaed version AVHRR SCF products (V4.0). 

 [--12/23/2024]

--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------

Data Description

This dataset provides daily composited snow cover fraction (SCF) data, spanning four decades from 1979 to 2022. SCF represents the proportion of snow-covered area observed from space. This dataset is combining the multiple SCF observations derived from three generations of Advanced Very High-Resolution Radiometer (AVHRR) sensors, as part of the ESA CCI+ Snow project (AVHRR/1: TIROS-N, NOAA-6, 8, and 10; AVHRR/2: NOAA-7, 9, 11, 12, and 14; AVHRR/3: NOAA-15, 16, 17, 18, 19, and METOP-A/B/C).

Date types

The dataset includes two types of SCF:



Snow Cover Fraction Viewable (SCFV): Represents the area of snow visible over land surface from space, while snow area in forested area refers to snow visible on top of forest canopies.

Snow Cover Fraction on Ground (SCFG): Represents snow on the ground, with corrections applied in forested areas to account for the obstruction caused by forest canopy.


Both SCFV and SCFG are provided in percentage (%) per grid, at a spatial resolution of 0.05° (approximately 5 km). The data covers all land areas globally, excluding Antarctica and Greenland ice sheets.

Important Notes:



Due to limitations in satellite observations, 110 days of data are missing from the dataset. A list of these dates is provided in the accompanying file "Dates List of Missing Data.xlsx".

The dataset is organized by year, with each day's data stored in a separate GeoTIFF (*.tif) file.


Code for the AVHRR SCF products:




Codes
Description


0 - 100 
Snow cover fraction (SCF) [%]; 0: snow freee; 100: fully snow covered


205
Cloud


206
Polar night


210
Water


215
Glacier, Icecaps, Icesheets


254
ERROR: No satellite acuqisition
DOI: 10.5281/zenodo.15068378
title: aix_galericulata_spades_01.fasta.gz
DOI: 10.5281/zenodo.15068379
title: aix_galericulata_spades_01.fasta.gz
DOI: 10.15468/dl.w8fhdm
title: Occurrence Download

description: A dataset containing 54 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rhyparobia maderae (Fabricius, 1781)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 54 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021875-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15068394
title: anser_anser_spades_01.fasta.gz
DOI: 10.5281/zenodo.15068395
title: anser_anser_spades_01.fasta.gz
DOI: 10.15468/dl.9jwx4s
title: Occurrence Download

description: A dataset containing 495 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "OccurrenceStatus is Present",
 "TaxonKey is Python bivittatus Kuhl, 1820",
 "Year 2005-2025"
 ]
}

 The dataset includes 495 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021876-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/11126162
title: Weather Record of one month Islamabad, Pakistan
DOI: 10.15468/dl.p2rbh8
title: Occurrence Download

description: A dataset containing 20 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Arrhenophagus chionaspidis Aurivillius, 1888",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 20 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021877-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15064332
title: Reaction between the Ionic Liquid BMP-TFSI and Li:  Comparison between Monolayer Films and Thick Multilayer Films on Graphite (0001)

description: X-ray photoelectron spectroscopy (XPS) raw data (xy-files)
DOI: 10.5281/zenodo.15064333
title: Reaction between the Ionic Liquid BMP-TFSI and Li:  Comparison between Monolayer Films and Thick Multilayer Films on Graphite (0001)

description: X-ray photoelectron spectroscopy (XPS) raw data (xy-files)
DOI: 10.25574/00119
title: Chandra X-ray Observatory ObsId 00119

description: ACIS OBSERVATIONS OF EJECTA DOMINATED MAGELLANIC CLOUD SNR'S
DOI: 10.25574/cdc.177
title: Chandra X-ray Observatory Chandra Data Collection for request #177

description: Chandra Data Collection for request #177
description: DOI updated to include the publication's DOI on 2024-02-29-04:00:00
DOI: 10.15468/dl.4n9xes
title: Occurrence Download

description: A dataset containing 177494 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Primer censo de plantas leñosas de una Parcela Permanente de 25 hectáreas, ubicada en la Reserva Natural La Planada (Nariño, Colombia)"
 ]
}

 The dataset includes 177494 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021878-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8ka9k3
title: Occurrence Download

description: A dataset containing 5517 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pycnoscelus surinamensis (Linnaeus, 1758)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 5517 records from 62 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021879-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15068412
title: anser_indicus_spades_01.fasta.gz
DOI: 10.5281/zenodo.15068413
title: anser_indicus_spades_01.fasta.gz
DOI: 10.15468/dl.r7grkd
title: Occurrence Download

description: A dataset containing 4268 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Silene viscosa (L.) Pers."
 ]
}

 The dataset includes 4268 records from 110 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021880-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17882/39477
title: POMME Kalman analysis of physical variables: datasets and gridded fields

description: The Programme Ocean Multidisciplinaire Meso Echelle (POMME) was designed to describe and quantify the role of mesoscale processes in the subduction of mode waters in the Northeast Atlantic. Intensive situ measurements were maintained during 1 year (September 2000 - October 2001), over a 8 degrees square area centered on 18 degrees W, 42 degrees N. In order to synthesized the in-situ physical observations, and merge them with satellite altimetry and surface fluxes datasets, a simplified Kalman filter has been designed. Daily fields of temperature, salinity, and stream function were produced on a regular grid over a full seasonal cycle. We propose here the gridded fields (KA_ files) and the in-situ datasets used by the analysis (Data_ files).
DOI: 10.15468/dl.58je3a
title: Occurrence Download

description: A dataset containing 521 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Atheta zosterae (C.G.Thomson, 1856)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 521 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021883-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/11125649
title: Delphi Classics Dataset
DOI: 10.15468/dl.5y4trr
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Arrhenophagus albitibiae Girault, 1915",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 10 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021884-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vsazpq
title: Occurrence Download

description: A dataset containing 197445 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Solidago canadensis L."
 ]
}

 The dataset includes 197445 records from 1006 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021882-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t2rgef
title: Occurrence Download

description: A dataset containing 22 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Symploce pallens (Stephens, 1835)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 22 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021885-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.