cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0168560.10fu
title: SH0168560.10FU

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/sh0168561.10fu
title: SH0168561.10FU

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/sh0168562.10fu
title: SH0168562.10FU

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/sh0168563.10fu
title: SH0168563.10FU

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.pdjyqp
title: Occurrence Download

description: A dataset containing 12522 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Crassocephalum crepidioides",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 }
 ]
}

 The dataset includes 12522 records from 237 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004190-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.35snth
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Charax macrolepis",
 "DecimalLatitude is not null",
 "DecimalLongitude is not null"
 ]
}

 The dataset includes 17 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004191-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.udbwmt
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is CHN.29_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Huperzia selago"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004192-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u3x4fj
title: Occurrence Download

description: A dataset containing 2635 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Corchorus olitorius",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 }
 ]
}

 The dataset includes 2635 records from 179 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004193-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/6pxwsm
title: Replication Data for: Bundling up actions to electrify – A fuzzy-set qualitative comparative analysis of e-mobility policies in 16 cities in the United States of America

description: Policymakers in cities in the United States of America (U.S.) must tailor the right bundle of policies to promote the diffusion of battery electric vehicles (BEVs). We investigate the interplay of (non-)monetary incentives on U.S. state, city and utility-related policy levels. For doing so, we deploy fuzzy-set Qualitative Comparative Analysis (fsQCA) of BEV policies in 16 cities in the U.S. to identify policy configurations that promote BEV uptake. We provide a first-ever study to systematically evaluate BEV policy bundles across different U.S. policy levels. The dataset includes two files. File 1 contains data for the total cost of ownership calculations for a battery electric vehicle and an internal combustion engine vehicle for each of the 16 cases. File 2 provide data regarding all policies, BEV stock numbers and BEV targets included the analysis.
DOI: 10.25919/8acq-2188
title: Parkes observations for project P1183 semester 2025OCTS_20

description: After nearly three years of monitoring, comprising with the Parkes telescope and the FAST telescopes, FRB 20220529 is proven to be an extremely interesting repeater. It exhibits one of the longest activity durations and a potential ~200-day RM period. Due to frequent observations scheduled with both Parkes and FAST, an abrupt rotation measure (RM) flare has been observed in this source. This is the first detection of such an ``RM flare'' in a fast radio burst (FRB), suggesting that the source is in an environment with occasionally erupting coronal mass ejection. This presents a unique opportunity to study the eruption environment of FRBs and investigate the relation between burst activity and other burst parameters. If confirmed, the periodicity and the ``RM flare'' of FRB 20220529 would corroborate each other and become a ``smoking gun'' of the binary origin of FRB. In previous analysis, both Parkes and FAST observations have proven essential. While FAST's higher sensitivity has enabled the capture of many bursts, Parkes' wideband receiver has provided a good burst detection rate even during low-rate phases. Notably, during the RM flare, two high signal-to-noise ratio bursts from Parkes have been crucial in understanding the RM variations. To further investigate FRB 20220529, we have scheduled regular FAST observations every fortnight, monitoring the source for 20 minutes each time. Therefore, we also propose to monitor FRB 20220529 using the Parkes UWL receiver, ensuring high-time resolution and employing full-polarization observations.
DOI: 10.15468/dl.b92mmf
title: Occurrence Download

description: A dataset containing 136 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Charax michaeli",
 "DecimalLatitude is not null",
 "DecimalLongitude is not null"
 ]
}

 The dataset includes 136 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004196-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gtvfn4
title: Occurrence Download

description: A dataset containing 1394 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ananas comosus microstachys",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 }
 ]
}

 The dataset includes 1394 records from 110 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004195-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w7dsnb
title: Occurrence Download

description: A dataset containing 62656 records in GBIF matching the query:

 SELECT gbifid, datasetkey, specieskey, kingdom, phylum, class, "order", family, genus, species, scientificname, decimallatitude, decimallongitude, eventdate, institutioncode, "year" AS obs_year, basisofrecord, coordinateuncertaintyinmeters, issue
 FROM occurrence
 WHERE
 decimallatitude IS NOT NULL
 AND decimallongitude IS NOT NULL
 AND NOT ARRAY_CONTAINS(issue, 'ZERO_COORDINATE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_OUT_OF_RANGE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_INVALID')
 AND NOT ARRAY_CONTAINS(issue, 'COUNTRY_COORDINATE_MISMATCH')
 AND "year" &gt;= 2015
 AND "year" &lt;= 2026
 AND coordinateuncertaintyinmeters IS NOT NULL
 AND coordinateuncertaintyinmeters &gt; 0
 AND coordinateuncertaintyinmeters &lt;= 200.0
 AND decimallatitude &gt;= 51.21395264452012
 AND decimallatitude &lt;= 56.135291543055025
 AND decimallongitude &gt;= 86.85869421308222
 AND decimallongitude &lt;= 100.73714263693424
 AND GBIF_Within('POLYGON ((100.737143 51.213953, 100.737143 56.135292, 86.858694 56.135292, 86.858694 51.213953, 100.737143 51.213953))', decimallatitude, decimallongitude) = TRUE
 

 The dataset's 62656 records were derived from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004182-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17807459
title: Canada1Water Digital Terrain Model with Bathymetry dataset

description: To support hydrogeological modelling for continental Canada, a standardized Digital Terrain Model (DTM) with bathymetry is needed to seamlessly cover natural watershed boundaries that may cross provincial, territorial and international borders. Canada currently has several Digital Surface Models (DSMs), Digital Elevation Models (DEMs) and DTMs for various jurisdictions developed using different methodologies, model types, and scales, but none of which include lake bathymetry. A seamless, DTM with lake Bathymetry is critical to Canada1Water (C1W) to support groundwater research in Canada as it provides a standard elevation datum for all subsurface modelling as well as a constraint for the surface hydraulic flow system. This document outlines the development of a DTM with lake bathymetry from the compilation and reprocessing of elevation models from several data sources. In general, the highest resolution publicly available DEM products have been brought to a standard datum and projection, resampled to a standard horizontal scale, and corrected for void issues and canopy biases. Additionally, bathymetry for lakes >10 km2 have been compiled from open data sources, and integrated to further enhance the value for hydrogeological applications. The result is the 1-arcsecond grid (~20 m) Canada1Water Digital Terrain Model (C1W-DTM). This dataset supports a wide range of applications requiring a DTM with lake bathymetry thus enabling more accurate and informed decision-making.
DOI: 10.5281/zenodo.17807458
title: Canada1Water Digital Terrain Model with Bathymetry dataset

description: To support hydrogeological modelling for continental Canada, a standardized Digital Terrain Model (DTM) with bathymetry is needed to seamlessly cover natural watershed boundaries that may cross provincial, territorial and international borders. Canada currently has several Digital Surface Models (DSMs), Digital Elevation Models (DEMs) and DTMs for various jurisdictions developed using different methodologies, model types, and scales, but none of which include lake bathymetry. A seamless, DTM with lake Bathymetry is critical to Canada1Water (C1W) to support groundwater research in Canada as it provides a standard elevation datum for all subsurface modelling as well as a constraint for the surface hydraulic flow system. This document outlines the development of a DTM with lake bathymetry from the compilation and reprocessing of elevation models from several data sources. In general, the highest resolution publicly available DEM products have been brought to a standard datum and projection, resampled to a standard horizontal scale, and corrected for void issues and canopy biases. Additionally, bathymetry for lakes >10 km2 have been compiled from open data sources, and integrated to further enhance the value for hydrogeological applications. The result is the 1-arcsecond grid (~20 m) Canada1Water Digital Terrain Model (C1W-DTM). This dataset supports a wide range of applications requiring a DTM with lake bathymetry thus enabling more accurate and informed decision-making.
DOI: 10.15468/dl.885pqz
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is CHN.29_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Huperzia herteriana"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004198-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ybwxjn
title: Occurrence Download

description: A dataset containing 5848 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Urera caracasana",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 }
 ]
}

 The dataset includes 5848 records from 273 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004197-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yb37um
title: Occurrence Download

description: A dataset containing 252 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Charax tectifer",
 "DecimalLatitude is not null",
 "DecimalLongitude is not null"
 ]
}

 The dataset includes 252 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004199-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3678s8
title: Occurrence Download

description: A dataset containing 924 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ilex maximowicziana",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 }
 ]
}

 The dataset includes 924 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004200-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9hqmx2
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Gavia immer)",
 "Country is one of (Algeria, Angola, Benin, Botswana, British Indian Ocean Territory, Burkina Faso, Burundi, Cabo Verde, Cameroon, Central African Republic, Chad, Comoros, Congo, Congo, Democratic Republic of the, Côte d’Ivoire, Djibouti, Egypt, Equatorial Guinea, Eritrea, Eswatini, Ethiopia, French Southern Territories, Gabon, Gambia, Ghana, Guinea, Guinea-Bissau, Kenya, Lesotho, Liberia, Libya, Madagascar, Malawi, Mali, Mauritania, Mauritius, Mayotte, Morocco, Mozambique, Namibia, Niger, Nigeria, Réunion, Rwanda, Saint Helena, Ascension and Tristan da Cunha, Sao Tome and Principe, Senegal, Seychelles, Sierra Leone, Somalia, South Africa, South Sudan, Sudan, Tanzania, United Republic of, Togo, Tunisia, Uganda, Western Sahara, Zambia, Zimbabwe)"
 ]
}

 The dataset includes 13 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030817-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c3b38g
title: Occurrence Download

description: A dataset containing 339 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Plectranthus laxiflorus",
 "HasCoordinate is true",
 "Geometry POLYGON ((-17.66889 -35.11691, 51.34702 -35.11691, 51.34702 37.62, -17.66889 37.62, -17.66889 -35.11691))"
 ]
}

 The dataset includes 339 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030818-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xce2de
title: Occurrence Download

description: A dataset containing 266 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Allium sativum",
 "Country is Russian Federation",
 "HasCoordinate is true"
 ]
}

 The dataset includes 266 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030821-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16339883
title: An integrated framework for quantifying future Australia's sustainability based on drought characteristics

description: The code implements a grid-based modeling framework for predicting and evaluating precipitation across Australia using multiple CMIP6 climate models. It applies bias correction, Taylor Skill Score (TSS)-based weighting, and machine learning techniques such as Random Forest to create an ensemble prediction. The workflow is developed in Python using libraries like xarray, numpy, scikit-learn, matplotlib, and cartopy, and is executed in Google Colab for scalable processing and visualization.
DOI: 10.5281/zenodo.16339884
title: An integrated framework for quantifying future Australia's sustainability based on drought characteristics

description: The code implements a grid-based modeling framework for predicting and evaluating precipitation across Australia using multiple CMIP6 climate models. It applies bias correction, Taylor Skill Score (TSS)-based weighting, and machine learning techniques such as Random Forest to create an ensemble prediction. The workflow is developed in Python using libraries like xarray, numpy, scikit-learn, matplotlib, and cartopy, and is executed in Google Colab for scalable processing and visualization.
DOI: 10.15468/dl.ckbyyg
title: Occurrence Download

description: A dataset containing 2518 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Ototylomys phyllotis"
 ]
}

 The dataset includes 2518 records from 56 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030819-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.59sr47
title: Occurrence Download

description: A dataset containing 558 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Fumaria macrocarpa"
 ]
}

 The dataset includes 558 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030820-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3q7r6d
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Allium sativum",
 "Country is Sao Tome and Principe",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030822-250717081556266/datasets/export for details.
DOI: 10.15468/dl.z2a9pv
title: Occurrence Download

description: A dataset containing 174 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Silene gallica",
 "Country is Brazil",
 "HasCoordinate is true"
 ]
}

 The dataset includes 174 records from 51 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030823-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gbejtt
title: Occurrence Download

description: A dataset containing 39946132 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "TaxonKey is Arthropoda",
 "Year 2000-2025"
 ]
}

 The dataset includes 39946132 records from 1730 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030724-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.