cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1378423.10fu
title: SH1378423.10FU

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/sh1378427.10fu
title: SH1378427.10FU

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/sh1378428.10fu
title: SH1378428.10FU

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/sh1378431.10fu
title: SH1378431.10FU

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/sh1378435.10fu
title: SH1378435.10FU

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/sh1378440.10fu
title: SH1378440.10FU

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/sh1378443.10fu
title: SH1378443.10FU

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/sh1378444.10fu
title: SH1378444.10FU

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/sh1378446.10fu
title: SH1378446.10FU

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/sh1378450.10fu
title: SH1378450.10FU

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: 10.5281/zenodo.13651408
title: weecology/portal-forecasts: 2024-09-03

description: No description provided.
DOI: 10.5281/zenodo.13741773
title: weecology/portal-forecasts: 2024-09-10

description: No description provided.
DOI: 10.5281/zenodo.13774017
title: weecology/portal-forecasts: 2024-09-17

description: No description provided.
DOI: 10.5281/zenodo.13834153
title: weecology/portal-forecasts: 2024-09-24

description: No description provided.
DOI: 10.5281/zenodo.14195191
title: weecology/portal-forecasts: 2024-11-20

description: No description provided.
DOI: 10.5281/zenodo.14423019
title: weecology/portal-forecasts: 2024-12-12

description: No description provided.
DOI: 10.5281/zenodo.14531707
title: weecology/portal-forecasts: 2024-12-19

description: No description provided.
DOI: 10.5281/zenodo.14559479
title: weecology/portal-forecasts: 2024-12-26

description: No description provided.
DOI: 10.5281/zenodo.14589702
title: weecology/portal-forecasts: 2025-01-02

description: No description provided.
DOI: 10.5281/zenodo.14624615
title: weecology/portal-forecasts: 2025-01-09

description: No description provided.
DOI: 10.5281/zenodo.14675482
title: weecology/portal-forecasts: 2025-01-16

description: No description provided.
DOI: 10.5281/zenodo.14902273
title: weecology/portal-forecasts: 2025-02-20

description: No description provided.
DOI: 10.5281/zenodo.14941664
title: weecology/portal-forecasts: 2025-02-27

description: No description provided.
DOI: 10.5281/zenodo.14984903
title: weecology/portal-forecasts: 2025-03-06

description: No description provided.
DOI: 10.5281/zenodo.15009179
title: weecology/portal-forecasts: 2025-03-11

description: No description provided.
DOI: 10.5281/zenodo.15048419
title: weecology/portal-forecasts: 2025-03-18

description: No description provided.
DOI: 10.5281/zenodo.15122763
title: weecology/portal-forecasts: 2025-04-01

description: No description provided.
DOI: 10.5281/zenodo.15179131
title: weecology/portal-forecasts: 2025-04-08

description: No description provided.
DOI: 10.5281/zenodo.15226456
title: weecology/portal-forecasts: 2025-04-15

description: No description provided.
DOI: 10.5281/zenodo.15265540
title: weecology/portal-forecasts: 2025-04-22

description: No description provided.
DOI: 10.5281/zenodo.15271509
title: weecology/portal-forecasts: 2025-04-23

description: No description provided.
DOI: 10.5281/zenodo.10582103
title: weecology/portal-forecasts: 2024-01-29

description: No description provided.
DOI: 10.5281/zenodo.10946377
title: weecology/portal-forecasts: 2024-04-08

description: No description provided.
DOI: 10.5281/zenodo.15306968
title: weecology/portal-forecasts: 2025-04-29

description: No description provided.
DOI: 10.5281/zenodo.15312542
title: weecology/portal-forecasts: 2025-04-30

description: No description provided.
DOI: 10.15468/dl.qx9vyd
title: Occurrence Download

description: A dataset containing 223 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-0.72038 38.16027,-0.33720 38.16027,-0.33720 38.31348,-0.72038 38.31348,-0.72038 38.16027))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Pinus halepensis Mill."
 ]
}

 The dataset includes 223 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008567-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z386ut
title: Occurrence Download

description: A dataset containing 10023 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Observation, Human Observation, Machine Observation, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Hydriomena furcata (Thunberg, 1784)"
 ]
}

 The dataset includes 10023 records from 86 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008568-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2d65v5
title: Occurrence Download

description: A dataset containing 25340 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "TaxonKey is Acer saccharum Marshall"
 ]
 },
 "HasCoordinate is TRUE",
 "Year is greater than or equal to 2010",
 "Year is less than or equal to 2024",
 "DecimalLatitude is greater than or equal to 24.1271113347408",
 "DecimalLatitude is less than or equal to 56.572699215132005",
 "DecimalLongitude is greater than or equal to -89.31544323258166",
 "DecimalLongitude is less than or equal to -51.73636965516586",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 25340 records from 74 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008569-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z8vvda
title: Occurrence Download

description: A dataset containing 3713 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Guatemala, Mexico, El Salvador, Nicaragua, Honduras, Costa Rica, Panama)",
 "TaxonKey is one of (Cupressus lusitanica Mill., Wimmeria cyclocarpa Radlk.)"
 ]
}

 The dataset includes 3713 records from 163 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008570-250426092105405/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.28559978
title: ZHAO30yr: model errors and geographic mask

description: In the internal tide model ZHAO30yr (https://doi.org/10.6084/m9.figshare.28078523.v1), model errors are estimated using background internal tides. Background internal tides are extracted from the same altimetry data following the same procedure but using tidal periods slightly different from the eight principal constituents. In other words, model errors are indicated by internal tide signals where internal tides do not exist. In principle, model errors are determined by the given altimetry data and the mapping technique used to extract internal tides. Background internal tides do not vary much over the narrow semidiurnal or diurnal frequency bands. ZHAO30yr estimates errors in semidiurnal internal tides using 12.3373 hours (M<sub>2</sub> minus 5 minutes) and in diurnal internal tides using 23.8511 hours (K<sub>1</sub> minus 5 minutes). Both mode-1 and mode-2 internal tides are estimated for the semidiurnal and diurnal constituents. A geographic mask is provided. In most of the global ocean, model errors are very low. On a global average, the model errors in all semidiurnal and diurnal constituents are lower than 1 mm. In regions of extremely high mesoscale eddies, the semidiurnal errors are dominantly larger than 1 mm due to mesoscale contamination. These regions include the Kuroshio extension region, the Gulf Stream, the East Australian Current, and so on. These regions are highlighted by black contours.In this folder, there are 4 files for model errors of different baroclinic modes and different frequencies, as indicated by file names (ZHAO30yr-V1-MD1-K1-error, ZHAO30yr-V1-MD2-K1-error, ZHAO30yr-V1-MD1-M2-error, and ZHAO30yr-V1-MD2-M2-error). Each file contains a 5-wave summed 1-degree smoothed SSH amplitude error map and 5 decomposed waves (amplitude, phase, and direction) at each grid point. ZHAO30yr_mask gives the geographic mask for regions fouled by mesoscale contamination.
DOI: 10.6084/m9.figshare.28559978.v2
title: Model errors and geographic mask in ZHAO30yr

description: In the internal tide model ZHAO30yr (https://doi.org/10.6084/m9.figshare.28078523.v1), model errors are estimated using background internal tides. Background internal tides are extracted from the same altimetry data following the same procedure but using tidal periods slightly different from the eight principal constituents. In other words, model errors are indicated by internal tide signals where internal tides do not exist. In principle, model errors are determined by the given altimetry data and the mapping technique used to extract internal tides. Background internal tides do not vary much over the narrow semidiurnal or diurnal frequency bands. ZHAO30yr estimates errors in semidiurnal internal tides using 12.3373 hours (M<sub>2</sub> minus 5 minutes) and in diurnal internal tides using 23.8511 hours (K<sub>1</sub> minus 5 minutes). Both mode-1 and mode-2 internal tides are estimated for the semidiurnal and diurnal constituents. A geographic mask is provided. In most of the global ocean, model errors are very low. On a global average, the model errors in all semidiurnal and diurnal constituents are lower than 1 mm. In regions of extremely high mesoscale eddies, the semidiurnal errors are dominantly larger than 1 mm due to mesoscale contamination. These regions include the Kuroshio extension region, the Gulf Stream, the East Australian Current, and so on. These regions are highlighted by black contours.In this folder, there are 4 files for model errors of different baroclinic modes and different frequencies, as indicated by file names (ZHAO30yr-V1-MD1-K1-error, ZHAO30yr-V1-MD2-K1-error, ZHAO30yr-V1-MD1-M2-error, and ZHAO30yr-V1-MD2-M2-error). Each file contains a 5-wave summed 1-degree smoothed SSH amplitude error map and 5 decomposed waves (amplitude, phase, and direction) at each grid point. ZHAO30yr_mask gives the geographic mask for regions fouled by mesoscale contamination.Note that model errors (ZHAO30error) are given in millimeters, and SSH amplitudes (ZHAO30yr) are given in centimeters. This inconsistency is reported by an anonymous referee.
DOI: 10.13012/b2idb-9792611_v1
title: Nuclear locale immunofluorescence imaging and segmentation in four human cell lines

description: The immunofluorescence and segmented images of three nuclear locales, (nuclear periphery, nuclear speckles, and nucleolus) in four human cells lines (H1-hESC, HCT116, HFFc6, and K562). For each of the cell lines, this dataset includes original, cropped, and binary 4D images (3D + antibody) in addition to max projected thumbnails of cell nuclei.
DOI: 10.15468/dl.gzps82
title: Occurrence Download

description: A dataset containing 41 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ukraine",
 "Geometry POLYGON((29.56703 47.93252,29.63792 47.93252,29.63792 47.96087,29.56703 47.96087,29.56703 47.93252))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 41 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008573-250426092105405/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.cc2m6433
title: CCDC 2418964: Experimental Crystal Structure Determination

description: Related Article: Asif Raza, Sousa Javan Nikkhah, Lilia Croitor, Ahmed Gamal Attallah, Eric Hirschmann, Matthias Vandichel, Soumya Mukherjee|2025|Chem.Commun.|61|6466|doi:10.1039/D5CC01092F
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.cc2l0p1c
title: CCDC 2383932: Experimental Crystal Structure Determination

description: Related Article: Yuan-Fu Lan, Ai-Yi Luo, Zi-Ling Li, Min Pan, Yan-Fang Feng, Bi-Liu Lan, Yong-Zhi Liao, Zhong Zhang|2025|J.Mol.Struct.|1338|142283|doi:10.1016/j.molstruc.2025.142283
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.