cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccrs7rh
title: CCDC 708497: Experimental Crystal Structure Determination

description: Related Article: A.Garcia-Raso, F.M.Alberti, J.J.Fiol, A.Tasada, M.Barcelo-Oliver, E.Molins, C.Estarellas, A.Frontera, D.Quinonero, P.M.Deya|2009|Cryst.Growth Des.|9|2363|doi:10.1021/cg801245g
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccr0lq1
title: CCDC 685773: Experimental Crystal Structure Determination

description: Related Article: Fa-Nian Shi, L.Cunha-Silva, T.Trindade, F.A.A.Paz, J.Rocha|2009|Cryst.Growth Des.|9|2098|doi:10.1021/cg8004932
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccr0lr2
title: CCDC 685774: Experimental Crystal Structure Determination

description: Related Article: Fa-Nian Shi, L.Cunha-Silva, T.Trindade, F.A.A.Paz, J.Rocha|2009|Cryst.Growth Des.|9|2098|doi:10.1021/cg8004932
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccr0ls3
title: CCDC 685775: Experimental Crystal Structure Determination

description: Related Article: Fa-Nian Shi, L.Cunha-Silva, T.Trindade, F.A.A.Paz, J.Rocha|2009|Cryst.Growth Des.|9|2098|doi:10.1021/cg8004932
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.25326/wc8h-w957
title: Atmospheric simulation chamber study: nitrate + NO3 - Photolysis - 2017-08-03
DOI: 10.15468/dl.3kdhvu
title: Occurrence Download

description: A dataset containing 13740 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Mikania micrantha Kunth"
 ]
}

 The dataset includes 13740 records from 304 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069621-250525065834625/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/10758443
title: Netflix interactive
DOI: 10.15468/dl.eu9fgm
title: Occurrence Download

description: A dataset containing 36 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Gastrolobium rhombifolium G.Chandler & Crisp"
 ]
}

 The dataset includes 36 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001432-250214102907787/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.28424369
title: Mimimum Dataset - <b>Prevalence, Patterns, and Determinants of Multimorbidity in a Resource-Limited Setting: Insights from a Nationally Representative Survey</b>

description: South Africa Demographic and Health Survey (DHS) (SADHS) 2016 is a nationally representative cross-sectional household survey that provides information on demographic and health indicators. The DHS programme has assisted with over 350 nationally representative household surveys across 90 countries since 1984[18]. Surveys are usually conducted every five years per country, with topics tailored to relevant population health issues. The DHS is an important source of data for policy making, monitoring and evaluation in many LMICs. The SADHS 2016 followed a stratified two-stage sample design. Seven hundred and fifty primary sampling units (PSUs) were selected from the 26 sampling strata, based on urban, traditional and rural areas for each of the nine provinces in South Africa (there was no strata for traditional areas in Western Cape). A fixed number of 20 dwelling units (DUs) were randomly selected from each of the PSUs. This design permits estimates of key variables for the country, for each of the nine provinces, and of urban, rural and traditional areas. Data collection took place over six months, from 27 June 2016 to 4 November 2016.
DOI: 10.6084/m9.figshare.28424318
title: <b>Highly sensitive</b><b>profiling</b><b>somatic mutations of thyroid cancer by</b><b>nucleotide-enrichment</b><b>-based MALDI-TOF MS assay</b>

description: <b>Highly sensitive</b><b>profiling</b><b>somatic mutations of thyroid cancer by</b><b>nucleotide-enrichment</b><b>-based MALDI-TOF MS assay</b>
DOI: 10.6084/m9.figshare.28424318.v1
title: <b>Highly sensitive</b><b>profiling</b><b>somatic mutations of thyroid cancer by</b><b>nucleotide-enrichment</b><b>-based MALDI-TOF MS assay</b>

description: <b>Highly sensitive</b><b>profiling</b><b>somatic mutations of thyroid cancer by</b><b>nucleotide-enrichment</b><b>-based MALDI-TOF MS assay</b>
DOI: 10.15468/dl.v5rvfr
title: Occurrence Download

description: A dataset containing 89 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Gastrolobium rigidum (C.A.Gardner) Crisp"
 ]
}

 The dataset includes 89 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001433-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q7vrka
title: Occurrence Download

description: A dataset containing 147315 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Populus alba L."
 ]
}

 The dataset includes 147315 records from 1387 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001426-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.669mtg
title: Occurrence Download

description: A dataset containing 78 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Gastrolobium rotundifolium Meisn."
 ]
}

 The dataset includes 78 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001434-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u73tr9
title: Occurrence Download

description: A dataset containing 2379 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Equisetum bogotense Kunth"
 ]
}

 The dataset includes 2379 records from 133 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001435-250214102907787/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.28236242
title: High resolution implementation of the Holdridge Life Zone system with transitional zones and altitudinal belts

description: Paper submitted, full text forthcoming.Interactive view available at: https://aenikolopov.projects.earthengine.app/view/hlz<br>Code available: https://github.com/armenenikolopov/HoldridgeLifeZoneMap<br>ABSTRACT:<br>The Holdridge Life Zone (HLZ) system is a widely used framework for ecological classification, yet existing implementations suffer from coarse resolution and inaccurate evapotranspiration estimates. We present the first global 30-arcsecond (~1 km²) global HLZ map, a 3600x improvement over currently available models, addressing critical limitations of previous models. This high-resolution approach is particularly important in topographically complex regions such as the Tropical Andes, where elevation-driven climate changes occur over short distances and are missed in lower-resolution models. Additionally, many transitional life zones predicted by Holdridge are only visible when mapped at fine scales, making this model especially useful for field-based ecological studies and herbarium specimen attribution rather than broad-scale climate applications.<br>A key weakness of the traditional HLZ system is its reliance on a simplified evapotranspiration approximation, which we demonstrate to be several-fold inaccurate outside the tropics and significantly flawed even within them. We provide the first quantitative assessment of where these errors are most severe and introduce a high-resolution alternative using the Penman-Monteith model for improved classification accuracy, particularly in non-tropical regions. These resulting classification differences are discussed. To support broad adoption, we provide open-source code, downloadable datasets, and an interactive web tool for zone determination. This refined HLZ implementation enables more precise ecological fieldwork, floristic studies, biogeographical studies, and climate impact assessments at local scales.<br><br>
DOI: 10.15468/dl.gw9peq
title: Occurrence Download

description: A dataset containing 185 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Aves Argentinas / Asociación Ornitológica del Plata - Colección de registros observacionales de aves silvestres argentinas - Lista Narosky: familia Tinamidae"
 ]
}

 The dataset includes 185 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001437-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sgp26c
title: Occurrence Download

description: A dataset containing 118 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Gastrolobium rubrum (Crisp) G.Chandler & Crisp"
 ]
}

 The dataset includes 118 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001439-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ecceg7
title: Occurrence Download

description: A dataset containing 12710 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Ecuador, Colombia, Peru)",
 "TaxonKey is Andigena laminirostris Gould, 1851"
 ]
}

 The dataset includes 12710 records from 47 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001440-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d3phww
title: Occurrence Download

description: A dataset containing 39 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Gastrolobium semiteres G.Chandler & Crisp"
 ]
}

 The dataset includes 39 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001443-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ur7zpt
title: Occurrence Download

description: A dataset containing 144103 species occurrences available in GBIF matching the query:
{
 "GadmGid" : [
 "is DEU.10.12_1"
 ]
}

 The dataset includes 144103 records from 83 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001438-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0199838.10fu
title: SH0199838.10FU

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/sh0199839.10fu
title: SH0199839.10FU

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/sh0199840.10fu
title: SH0199840.10FU

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/sh0199841.10fu
title: SH0199841.10FU

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/sh0199842.10fu
title: SH0199842.10FU

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/sh0199843.10fu
title: SH0199843.10FU

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/sh0199844.10fu
title: SH0199844.10FU

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/sh0199845.10fu
title: SH0199845.10FU

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/sh0199846.10fu
title: SH0199846.10FU

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/sh0199847.10fu
title: SH0199847.10FU

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.