cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.tkyuzf
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cichla monoculus",
 "Country is Malaysia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021055-250920141307145/datasets/export for details.
DOI: 10.15468/dl.csatb3
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cichla monoculus",
 "Country is Peru",
 "HasCoordinate is true"
 ]
}

 The dataset includes 32 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021056-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18739/a2804xm9r
title: European Space Agency (ESA) Global Snow Water Equivalent Monitoring, 1979-2013

description: The efforts of the European Space Agency (ESA) Data User Element (DUE) funded GlobSnow project has resulted in two new hemispherical records of snow parameters intended for climate research purposes. The dataset contains satellite-retrieved information on snow water equivalent (SWE) extending 34 years. The record on snow water equivalent is produced using a combination of passive microwave radiometer and ground-based weather station data, spanning years 1979 to 2013.
 The GlobSnow SWE record, based on methodology by Pulliainen (Pulliainen 2006, Takala et al. 2011) utilizes a data-assimilation based approach combining space-borne passive radiometer data (SMMR, SSM/I and SSMIS) with data from ground-based synoptic weather stations. The satellite sensors utilized provide data at K- and Ka-bands (19 GigaHertz and 37 GigaHertz respectively) at a spatial resolution of approximately 25 kilometers (km). The SWE record is produced on a daily, weekly and monthly basis. SWE information is provided for terrestrial non-mountainous regions of Northern Hemisphere, excluding glaciers and Greenland.
DOI: 10.15468/dl.jrhsrt
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Stenopsyche marmorata",
 "Geometry POLYGON((119.300000 20.500000, 122.100000 20.500000, 122.100000 25.400000, 119.300000 25.400000, 119.300000 20.500000))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 4 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021057-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rsapuu
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mikrogeophagus altispinosus",
 "Country is Brazil",
 "HasCoordinate is true"
 ]
}

 The dataset includes 5 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021058-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8scah7
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mikrogeophagus altispinosus",
 "Country is Mexico",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021059-250920141307145/datasets/export for details.
DOI: 10.18739/a24746t4h
title: Programme for monitoring of the Greenland ice sheet (PROMICE): Automatic weather station data, 2007-present

description: Several projects supported the Programme for monitoring of the Greenland ice sheet (PROMICE) weather station network significantly. Automatic weather stations (AWS) collect data from the ablation area on the Greenland ice sheet. All values available for download are calculated with data retrieved from the data loggers. Data gaps are filled making use of transmitted data, where available. The automatic weather stations measure all variables (except those by Global Positioning System (GPS)) every 10 minutes, and transmit hourly averages during summer (days 100-300) and daily averages during winter. Parameters of low variability (ablation, tilt, etc.) are transmitted (instantaneous values) every 6 hours in summer, and daily in winter. GPS measurements follow the transmission schedule.
 Fausto, R.S. and van As, D., (2019). Programme for monitoring of the Greenland ice sheet (PROMICE): Automatic weather station data. Version: v03, Dataset published via Geological Survey of Denmark and Greenland.
DOI: 10.18739/a20g3h118
title: Danish Meteorological Institute Historical Climate Data Collection Greenland Ice Sheet, 1784-2017

description: This report contains the available DMI historical data collection 1784-2017 for Greenland, including observations (atmospheric pressure) and long daily, monthly and annual series of station based data.
 The data collection comprises observational, daily, monthly and annual blended data sets with a long record (blended station data series) and also daily station data series (single station data series; not blended). A description of the blending and other metadata can be found in Appendices.
 All available information on station positions and relocations are included in Appendices. Other metadata as descriptions of the construction of data sets and data series behind, the introduction of the Hell- mann rain gauge, the introduction of Stevenson screens (thermometer screen), information con- cerning atmospheric pressure, additional notes on monthly values, notes on multiple regressions, new corrections etc. can also be found in Appendices.
 A compiled set of various metadata up to 1996, covering aspects such as station position and relocations, change of instrumentation and observation units etc., that is essential to know when homogenizing time series of climate data can be found in DMI Technical Report 03-24. This publication contains information concerning a major part of the stations included in this report.
DOI: 10.15468/dl.4p9cmy
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Microvelia douglasi",
 "Geometry POLYGON((119.300000 20.500000, 122.100000 20.500000, 122.100000 25.400000, 119.300000 25.400000, 119.300000 20.500000))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 5 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021060-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15571054
title: Progenio: A Novel Pipeline for Comparative Pathogen Proteogenomics, Demonstrated on Two Differentially Virulent Mycobacterium tuberculosis W/Beijing Strains

description: This repository contains supplementary data for the proteogenomic analysis of two differentially virulent strains of W/Beijing M. tuberculosis.
DOI: 10.5281/zenodo.17211360
title: Progenio: A Novel Pipeline for Comparative Pathogen Proteogenomics, Demonstrated on Two Differentially Virulent Mycobacterium tuberculosis W/Beijing Strains

description: This repository contains supplementary data for the proteogenomic analysis of two differentially virulent strains of W/Beijing M. tuberculosis.
DOI: 10.15468/dl.u3qefx
title: Occurrence Download

description: A dataset containing 6997432 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Month is June",
 "OccurrenceStatus is Present",
 "Year 2025-2025"
 ]
}

 The dataset includes 6997432 records from 331 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020998-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/vb4qwc
title: Descripción de un nuevo género y especie de Salpinginae (Coleoptera: Salpingidae) para Chile

description: This dataset contains the digitized treatments in Plazi based on the original journal article Solervicens, Jaime (2021): Descripción de un nuevo género y especie de Salpinginae (Coleoptera: Salpingidae) para Chile. Revista Chilena de Entomología (Rev. Chil. Entomol.) 47 (1): 9-18, DOI: 10.35249/rche.47.1.21.02, URL: http://dx.doi.org/10.35249/rche.47.1.21.02Resumen. Basado en material recolectado en la cordillera de Nahuelbuta (provincias de Malleco y Arauco) se describe un nuevo género y especie de Salpingidae de Chile. Se presentan imágenes del adulto de la especie y de detalles de la cabeza y el tórax, además de figuras de las piezas bucales, alas y órganos genitales del macho y de la hembra. Se destacan sus caracteres diagnósticos y se establecen diferencias y afinidad con otros géneros de la familia.Palabras clave: Provincia del Maule; Región Andina; taxonomÍa.
DOI: 10.15468/283hh6
title: Xenia konohana sp. nov. (Cnidaria, Octocorallia, Alcyonacea), a new soft coral species in the family Xeniidae from Miyazaki, Japan

description: This dataset contains the digitized treatments in Plazi based on the original journal article Koido, Tatsuki, Imahara, Yukimitsu, Fukami, Hironobu (2022): Xenia konohana sp. nov. (Cnidaria, Octocorallia, Alcyonacea), a new soft coral species in the family Xeniidae from Miyazaki, Japan. ZooKeys 1085: 29-49, DOI: http://dx.doi.org/10.3897/zookeys.1085.77924, URL: http://dx.doi.org/10.3897/zookeys.1085.77924
DOI: 10.5281/zenodo.18047225
title: Challenging the Complexity Bias: The Paradox of Simplicity in Deep Learning-Based Metal Price Forecasting
DOI: 10.5281/zenodo.18047224
title: Challenging the Complexity Bias: The Paradox of Simplicity in Deep Learning-Based Metal Price Forecasting
DOI: 10.15468/szn98m
title: Two new species of Hypostomus Lacépède (Teleostei: Loricariidae) from the upper rio Paraná basin, Central Brazil

description: This dataset contains the digitized treatments in Plazi based on the original journal article Zawadzki, Cláudio H., Weber, Claude, Pavanelli, Carla S. (2008): Two new species of Hypostomus Lacépède (Teleostei: Loricariidae) from the upper rio Paraná basin, Central Brazil. Neotropical Ichthyology 6 (3): 403-412, DOI: 10.1590/S1679-62252008000300013, URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1679-62252008000300013&lng=en&tlng=enTwo new species of Hypostomus Lacépède (Teleostei: Loricariidae) from the rio Paranaíba and rio Grande basins, both in the upper rio Paraná basin, central Brazil, are described herein. One of them is distinguished from all congeners, except H. albopunctatus, by having the pectoral-fin spine length equal to or smaller than the pelvic-fin spine. From H. albopunctatus, it is distinguished by having round dark spots (vs. pale) on body and fins. The second species is distinguished from all congeners, except H. multidens and H. ternetzi, by having more than 115 teeth (vs. less than 109) per ramus on dentary and premaxilla. It is distinguished most readily from H. ternetzi by having teeth with two symmetrical (vs. asymmetrical) cusps. It is distinguished from H. multidens by having round dark spots (vs. pale) over body and fins.Duas novas espécies de Hypostomus Lacépède (Teleostei: Loricariidae) das bacias dos rios Grande e Paranaíba, ambos da bacia do alto rio Paraná, Brasil Central, são descritas aqui. Uma delas é diferenciada de todas as congêneres, exceto H. albopunctatus, por possuir o espinho da nadadeira peitoral de comprimento igual ou menor que o espinho da nadadeira pélvica. De H. albopunctatus, é diferenciada por ter por ter pintas arredondadas escuras (vs. claras) sobre o corpo e nadadeiras. A segunda espécie é distinguida de todas as congêneres, exceto H. multidens e H. ternetzi, por ter mais de 115 (vs. menos de 109) dentes em cada hemisérie no dentário e pré-maxilar. Esta é prontamente distinguida de H. ternetzi por ter dentes com duas cúspides simétricas (vs. cúspides assimétricas). Esta é distinguida de H. multidens por ter pintas escuras arredondadas sobre o corpo e nadadeiras (vs. pintas claras).
DOI: 10.15156/bio/sh0182764.10fu
title: SH0182764.10FU

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/sh0182765.10fu
title: SH0182765.10FU

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/sh0182766.10fu
title: SH0182766.10FU

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/sh0182767.10fu
title: SH0182767.10FU

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/sh0182768.10fu
title: SH0182768.10FU

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/sh0182769.10fu
title: SH0182769.10FU

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/sh0182770.10fu
title: SH0182770.10FU

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/sh0182771.10fu
title: SH0182771.10FU

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/sh0182772.10fu
title: SH0182772.10FU

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/sh0182773.10fu
title: SH0182773.10FU

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.