cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1061338.10fu
title: SH1061338.10FU

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/sh1061340.10fu
title: SH1061340.10FU

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/sh1061341.10fu
title: SH1061341.10FU

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.dt8ckr
title: Occurrence Download

description: A dataset containing 18453 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Thunbergia alata Bojer ex Sims"
 ]
}

 The dataset includes 18453 records from 459 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008818-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dyd4tw
title: Occurrence Download

description: A dataset containing 18453 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Thunbergia alata Bojer ex Sims"
 ]
}

 The dataset includes 18453 records from 459 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008721-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.eszuxf
title: Occurrence Download

description: A dataset containing 38357 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Rapistrum rugosum (L.) All.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 38357 records from 608 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008819-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7bps8c
title: Occurrence Download

description: A dataset containing 3040 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is one of (Margaroperdix madagascariensis (Scopoli, 1786), Megalaima lineata (Vieillot, 1816), Megapodius pritchardii G.R.Gray, 1864, Melanocorypha mongolica (Pallas, 1776))"
 ]
}

 The dataset includes 3040 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008722-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zzmfk7
title: Occurrence Download

description: A dataset containing 6378 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Ipomoea triloba L.)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1945"
 ]
}

 The dataset includes 6378 records from 247 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008820-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gusvyg
title: Occurrence Download

description: A dataset containing 12777 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Thunnus thynnus (Linnaeus, 1758)"
 ]
}

 The dataset includes 12777 records from 146 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011536-241126133413365/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.27938121.v1
title: Supplementary material for Teixeira et al. (at Diversity and distributions)

description: Supplementary data for Teixeira et al. (unpublished at Diversity and Distributions) entitled: "<i>Gaps and data ambiguities in DNA reference libraries: A limiting factor for molecular-based biodiversity assessments using Arabian Peninsula annelids as a case study</i>"<b>Checklists:</b>Arabian Checklist (CL-MTAP)Mediterranean Checklist (CL-MTMS)<b>BOLD Annelida FASTA COI dataset:</b>DS-MTWA<b>ARMS Metabarcoding ASV obtained FASTA dataset:</b>DS-ARMS<b>Supplementary Tables and Figures:</b><b>Table S1:</b> Obtained ASVs and respective number of reads per ARMS and respective taxonomic identification<b>Table S2:</b> ARMS metadata with information regarding number of ARMS deployed by region, year and respective coordinates.<b>Fig. S1:</b> The number and percentages of species (A), genera (B) and families (C) from the Annelida Mediterranean checklist (CL-MTMS) with available DNA barcodes in the BOLD database. (D) Number of available sequences for the most represented families with DNA barcodes in CL-MTMS. (E) Number of barcoded species and species yet to be barcoded for the top10 most represented families in CL-MTMS.<b>Fig. S2:</b> Neighbour-Joining phylogenetic Tree using Kimura 2-parameters model for DS-ARMS. All 5375 ASVs are individually shown with the respective automatic taxonomic assignment. Discordant clades (based on ASAP methodology) highlighted in red.Public DOIs for BOLD related datasets will be available upon paper acceptance.
DOI: 10.48436/3dd60-ydz51
title: Sentinel-1 Flood Maps Using Exponential Filter as No-Flood Reference

description: Background
The TU Wien flood mapping algorithm is a Sentinel-1-based workflow using Bayes Inference at the pixel level. The algorithm is currently deployed in global operations under the Copernicus GFM project and have been shown to work generally well. However, the current approach has overestimation issues related to imperfect no-flood probability modeling. In a recent study, we proposed and compared an Exponential Filter derived from no-flood references versus the original Harmonic Model. We have conducted experiments on seven study sites for flooded and no-flood scenarios. A full description and discussion are found in the paper: Assessment of Time-Series-Derived No-Flood Reference for SAR-based Bayesian Flood Mapping.
Methodology

We generated no-flood references using the Exponential Filter at various T-parameter values and the original Harmonic Model as a baseline.
Flood maps were generated using the Bayes Inference-based SAR Flood mapping algorithm implemented in Python using the Yeoda software package. Flood maps using the various no-flood references for all available Sentinel-1 image acquisitions for a selected relative orbit per study site.
Each flood map is compared with the reference CEMS Rapid Mapping or Sentinel Asia reference dataset to generate validation/confusion maps.
Technical details

Datasets are stored in GeoTiff format using LZW Compression.
Files are compressed in two bundles: 1) flood maps, 2) false positive count maps, and 3) validation results.
Files are organized and tiled following the T3 Equi7Grid tilling system at 20m x 20m resolution.

Folder structure: dataset/map product>(continental)subgrid>tile>files.
The study covers the following study sites:

EU E039N027T: Scotland
AS E054N015T3: Vietnam
EU E054N006T3: Greece
EU E051N012T3: Slovenia
AS E024N027T3: India
OC E057N117T3: Philippines
EU E057N024T3: Latvia
Files are named following the Yeoda file naming convention.
Summary Accuracy Assessment Metrics are in CSV format.
Datasets:

Flood: flood maps generated using different parameterizations of no-flood reference.
FP_Count: false positive count maps.
Validation results include:

Confusion maps were generated from the difference between the flood maps and the rasterized CEMS Rapid Mapping reference or Sentinel Asia datasets. Summary Accuracy Assessment Metrics in CSV format.
ERA5-LAND daily aggregates in CSV format.
Root Mean Square Error time-series analysis in CSV format.
False Positive Rate time-series analysis in CSV format.
*Due to storage constraints, no flood reference is available upon request.
DOI: 10.48436/ev2xs-bcr86
title: Sentinel-1 Flood Maps Using Exponential Filter as No-Flood Reference

description: Background
The TU Wien flood mapping algorithm is a Sentinel-1-based workflow using Bayes Inference at the pixel level. The algorithm is currently deployed in global operations under the Copernicus GFM project and have been shown to work generally well. However, the current approach has overestimation issues related to imperfect no-flood probability modeling. In a recent study, we proposed and compared an Exponential Filter derived from no-flood references versus the original Harmonic Model. We have conducted experiments on seven study sites for flooded and no-flood scenarios. A full description and discussion are found in the paper: Assessment of Time-Series-Derived No-Flood Reference for SAR-based Bayesian Flood Mapping.
Methodology

We generated no-flood references using the Exponential Filter at various T-parameter values and the original Harmonic Model as a baseline.
Flood maps were generated using the Bayes Inference-based SAR Flood mapping algorithm implemented in Python using the Yeoda software package. Flood maps using the various no-flood references for all available Sentinel-1 image acquisitions for a selected relative orbit per study site.
Each flood map is compared with the reference CEMS Rapid Mapping or Sentinel Asia reference dataset to generate validation/confusion maps.
Technical details

Datasets are stored in GeoTiff format using LZW Compression.
Files are compressed in two bundles: 1) flood maps, 2) false positive count maps, and 3) validation results.
Files are organized and tiled following the T3 Equi7Grid tilling system at 20m x 20m resolution.

Folder structure: dataset/map product>(continental)subgrid>tile>files.
The study covers the following study sites:

EU E039N027T: Scotland
AS E054N015T3: Vietnam
EU E054N006T3: Greece
EU E051N012T3: Slovenia
AS E024N027T3: India
OC E057N117T3: Philippines
EU E057N024T3: Latvia
Files are named following the Yeoda file naming convention.
Summary Accuracy Assessment Metrics are in CSV format.
Datasets:

Flood: flood maps generated using different parameterizations of no-flood reference.
FP_Count: false positive count maps.
Validation results include:

Confusion maps were generated from the difference between the flood maps and the rasterized CEMS Rapid Mapping reference or Sentinel Asia datasets. Summary Accuracy Assessment Metrics in CSV format.
ERA5-LAND daily aggregates in CSV format.
Root Mean Square Error time-series analysis in CSV format.
False Positive Rate time-series analysis in CSV format.
*Due to storage constraints, no flood reference is available upon request.
DOI: 10.34740/kaggle/dsv/10077002
title: Full TMDB Movies Dataset 2024 (1M Movies)
DOI: 10.15468/dl.6k3sv8
title: Occurrence Download

description: A dataset containing 242 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Metapenaeus joyneri (Miers, 1880)",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 242 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011537-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tyg4dg
title: Occurrence Download

description: A dataset containing 431 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Arnoglossus thori Kyle, 1913",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 431 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011540-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bqv3bk
title: Occurrence Download

description: A dataset containing 508 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Arnoglossus rueppelii (Cocco, 1844)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 508 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011539-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t9m8qd
title: Occurrence Download

description: A dataset containing 25220 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 one of (Dianthus sylvestris Wulfen)"
 ]
}

 The dataset includes 25220 records from 206 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011538-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.33wume
title: Occurrence Download

description: A dataset containing 25241 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Balistes capriscus Gmelin, 1789",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 25241 records from 183 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011541-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.34s6st
title: Occurrence Download

description: A dataset containing 163 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pseudocaranx dentex (Bloch & Schneider, 1801)",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 163 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011542-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ha3jgs
title: Occurrence Download

description: A dataset containing 13085159 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Bovidae, Cervidae, Cricetidae, Elephantidae, Equidae, Felidae, Leporidae, Muridae, Mustelidae, Ochotonidae, Rhinocerotidae, Sciuridae, Soricidae, Ursidae)"
 ]
}

 The dataset includes 13085159 records from 8018 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011522-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/ccdc.csd.cc1kdrj7
title: CCDC 1442229: Experimental Crystal Structure Determination

description: Related Article: Ying Fu, Jing-Yi Wang, Wen-Geng Chen, Yu Li, Li-Xia Zhao, Shuang Gao and Fei Ye|2017|J.Heterocycl.Chem.|54|3023|doi:10.1002/jhet.2911
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/ccdc.csd.cc1kdrk8
title: CCDC 1442230: Experimental Crystal Structure Determination

description: Related Article: Lei Wang, Sun Li, Pankaj Chauhan, Daniel Hack,Arne R. Philipps, Rakesh Puttreddy, Kari Rissanen, Gerhard Raabe, Dieter Enders|2016|Chem.-Eur.J.|22|5123|doi:10.1002/chem.201600515
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/ccdc.csd.cc1kdstk
title: CCDC 1442269: Experimental Crystal Structure Determination

description: Related Article: Kazuma Sanada, Hitoshi Ube, and Mitsuhiko Shionoya|2016|J.Am.Chem.Soc.|138|2945|doi:10.1021/jacs.5b13515
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/cc1kdsmc
title: CCDC 1442263: Experimental Crystal Structure Determination

description: Related Article: J.-T. Lu, D.-D. Meng, Q.-G. Meng|2016|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|72|99|doi:10.1107/S2053229615023967
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/ccdc.csd.cc1kdsh7
title: CCDC 1442259: Experimental Crystal Structure Determination

description: Related Article: Yoshio Hato, Yoshihiro Oonishi, Yasunori Yamamoto, Kiyohiko Nakajima, Yoshihiro Sato|2016|J.Org.Chem.|81|7847|doi:10.1021/acs.joc.6b01502
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/cc1kdsnd
title: CCDC 1442264: Experimental Crystal Structure Determination

description: Related Article: J.-T. Lu, D.-D. Meng, Q.-G. Meng|2016|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|72|99|doi:10.1107/S2053229615023967
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/cc12wz0y
title: CCDC 1009980: Experimental Crystal Structure Determination

description: Related Article: Nisha Dawra, Ram, N. Ram|2015|CSD Communication|||
description: Related Article: Nisha Dawra, Ram Nath Ram|2016|Synthesis|48|4199|doi:10.1055/s-0035-1562474
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/cc1kdtsk
title: CCDC 1442299: Experimental Crystal Structure Determination

description: Related Article: Ee Ling Chang, Benoit Bolte, Ping Lan, Anthony C. Willis, and Martin G. Banwell|2016|J.Org.Chem.|81|2078|doi:10.1021/acs.joc.6b00043
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/cc1kdttl
title: CCDC 1442300: Experimental Crystal Structure Determination

description: Related Article: Ee Ling Chang, Benoit Bolte, Ping Lan, Anthony C. Willis, and Martin G. Banwell|2016|J.Org.Chem.|81|2078|doi:10.1021/acs.joc.6b00043
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.