cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0126848.10fu
title: SH0126848.10FU

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: 10.13145/bacdive138184.20241212.9.2
title: Serratia nematodiphila

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive138184.20251217.10
title: Serratia nematodiphila

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0126849.10fu
title: SH0126849.10FU

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: 10.13145/bacdive138185.20241212.9.2
title: Serratia marcescens

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive138185.20251217.10
title: Serratia marcescens

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0126850.10fu
title: SH0126850.10FU

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: 10.13145/bacdive138186.20241212.9.2
title: Afipia broomeae

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive138186.20251217.10
title: Afipia broomeae

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive138187.20241212.9.2
title: Escherichia coli

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive138187.20251217.10
title: Escherichia coli

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0126851.10fu
title: SH0126851.10FU

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: 10.13145/bacdive138188.20241212.9.2
title: Escherichia coli

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive138188.20251217.10
title: Escherichia coli

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0126852.10fu
title: SH0126852.10FU

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: 10.13145/bacdive138189.20241212.9.2
title: Vibrio pectenicida

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0126853.10fu
title: SH0126853.10FU

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: 10.13145/bacdive138189.20251217.10
title: Vibrio pectenicida

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15468/dl.w5en4w
title: Occurrence Download

description: A dataset containing 331 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Chromodoris annae Bergh, 1877",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 331 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0065225-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jsx9b4
title: Occurrence Download

description: A dataset containing 1578 species occurrences available in GBIF matching the query:
{
 "and" : [
 "CoordinateUncertaintyInMeters 0.0-4000.0",
 "TaxonKey is Carlia sexdentata (Macleay, 1877)"
 ]
}

 The dataset includes 1578 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001656-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tbuaqm
title: Occurrence Download

description: A dataset containing 326 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Trifolium carolinianum Michx.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 326 records from 47 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001658-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zvru8z
title: Occurrence Download

description: A dataset containing 3231 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Trypoxylus dichotomus (Linnaeus, 1771), Eophileurus chinensis (Faldermann, 1835))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3231 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001657-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15087231
title: THE EFFECT OF AGGRESSİVENESS ON THE BEHAVİOR OF STUDENTS OF SMALL SCHOOL AGE
DOI: 10.5281/zenodo.15087232
title: THE EFFECT OF AGGRESSİVENESS ON THE BEHAVİOR OF STUDENTS OF SMALL SCHOOL AGE
DOI: 10.34777/r9ag-e273
title: HyperFace

description: We introduce HyperFace, a novel framework for generaing synthetic face recognition datasets and increasing the inter-class variation. We formulate the dataset generation as a packing problem on the embedding space (represented on a hypersphere) of a face recognition model and propose a new synthetic dataset generation approach (called HyperFace). We release several synthetic datasets of face images up to 50,000 unique synthetic identities and 3.2 million images.
DOI: 10.15468/dl.85jcmw
title: Occurrence Download

description: A dataset containing 1301 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Trifolium dasyphyllum Torr. & A.Gray)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1301 records from 55 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001660-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pyj4x9
title: Occurrence Download

description: A dataset containing 2625 species occurrences available in GBIF matching the query:
{
 "and" : [
 "CoordinateUncertaintyInMeters 0.0-4000.0",
 "TaxonKey is one of (Carlia gracilis Storr, 1974, Carlia sexdentata (Macleay, 1877))"
 ]
}

 The dataset includes 2625 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001659-250325103851331/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/11169742
title: ⏳ endoflife.date database (duckdb)
DOI: 10.15468/dl.dgzd25
title: Occurrence Download

description: A dataset containing 1860 species occurrences available in GBIF matching the query:
{
 "and" : [
 "CoordinateUncertaintyInMeters 0.0-4000.0",
 "TaxonKey is one of (Carlia rufilatus Storr, 1974, Carlia sexdentata (Macleay, 1877))"
 ]
}

 The dataset includes 1860 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001661-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4q9f5s
title: Occurrence Download

description: A dataset containing 1514 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Trifolium diffusum Ehrh., Trifolium diffusum Thunb.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1514 records from 109 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001662-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.37f79c
title: Occurrence Download

description: A dataset containing 329 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Material sample, Human Observation, Observation, Living Specimen, Occurrence evidence)",
 "TaxonKey is Channa punctata (Bloch, 1793)"
 ]
}

 The dataset includes 329 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001663-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15086955
title: High resolution distribution map of Shorea robusta in India

description: The dataset presents the map at 10 m spatial resolution of existing Shorea robusta (Sal) distribution in India. The map have been produced using Sentinel-1 (S1) and Sentinel-2 (S2) satellite data. By incorporating phenological characteristics and structural parameters into a Random Forest classifier, we achieved an overall accuracy of 93%, trained and validated with ground truth data across four states in India.
DOI: 10.5281/zenodo.15086956
title: High resolution distribution map of Shorea robusta in India

description: The dataset presents the map at 10 m spatial resolution of existing Shorea robusta (Sal) distribution in India. The map have been produced using Sentinel-1 (S1) and Sentinel-2 (S2) satellite data. By incorporating phenological characteristics and structural parameters into a Random Forest classifier, we achieved an overall accuracy of 93%, trained and validated with ground truth data across four states in India.
DOI: 10.15468/dl.4aur2c
title: Occurrence Download

description: A dataset containing 52 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Cydia pomonella (Linnaeus, 1758)"
 ]
}

 The dataset includes 52 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001665-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r4cqjw
title: Occurrence Download

description: A dataset containing 13172 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "KingdomKey is Animalia",
 {
 "or" : [
 {
 "and" : [
 "Year is 2021",
 "GadmGid is USA.45.1_1"
 ]
 },
 {
 "and" : [
 "Year is 2021",
 "GadmGid is USA.23.28_1"
 ]
 },
 {
 "and" : [
 "Year is 2021",
 "GadmGid is USA.3.14_1"
 ]
 },
 {
 "and" : [
 "Year is 2021",
 "GadmGid is USA.1.51_1"
 ]
 },
 {
 "and" : [
 "Year is 2021",
 "GadmGid is USA.1.2_1"
 ]
 },
 {
 "and" : [
 "Year is 2021",
 "GadmGid is USA.36.58_1"
 ]
 }
 ]
 }
 ]
}

 The dataset includes 13172 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001666-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ujwep6
title: Occurrence Download

description: A dataset containing 56 species occurrences available in GBIF matching the query:
{
 "and" : [
 "EventDate is 2020-01-01",
 "Geometry POLYGON((76.75584 30.59198,76.90765 30.68385,76.78603 30.85274,76.61069 30.77155,76.75584 30.59198))",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 56 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001667-250325103851331/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.28665698.v1
title: I002C_Paternal_v0.7

description: latest version
DOI: 10.15468/dl.j5raj5
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Bangladesh",
 "GadmGid is BGD.3.17_1",
 "TaxonKey is Apidae"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001668-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d63n7h
title: Occurrence Download

description: A dataset containing 1236 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Dorcus rubrofemoratus (Snellen van Vollenhoven, 1865), Ceruchus lignarius Lewis, 1883, Dorcus montivagus (Lewis, 1883), Figulus binodulus Waterhouse, 1872, Aegus laevicollis Saunders, 1854, Rhaetulus recticornis Kurosawa, 1964, Dorcus japonicus Nakane & Makino, 1985, Prosopocoilus pseudodissimilis Kurosawa, 1976, Figulus yujii Fujita, 1994, Nigidius lewisi Boileau, 1905)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1236 records from 48 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001670-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zt45h5
title: Occurrence Download

description: A dataset containing 1568 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "TaxonKey is Acrostichum speciosum Willd."
 ]
}

 The dataset includes 1568 records from 64 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001672-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10008994
title: TreeGOER: Tree Globally Observed Environmental Ranges

description: TreeGOER (Tree Globally Observed Environmental Ranges) is a database that documents the environmental ranges (minimum, maximum, median, mean and 5%, 25%, 75% and 95% quantiles) for 48,129 tree species and for 51 environmental variables, including 38 bioclimatic variables, 8 soil variables and 3 topographic variables. These ranges were calculated after cleaning occurrence records and standardizing species names with the WorldFlora R package to World Flora Online or the World Checklist of Vascular Plants for a global GBIF occurrence download of 44,267,164 occurrences (GBIF.org 2021 GBIF Occurrence Download https://doi.org/10.15468/dl.77gcvq). The 5% and 95% quantiles were calculated separately for two methods of outlier detection and for the full data set. The process of compilation of TreeGOER with 30 arc-seconds global grid layers, two examples of BIOCLIM applications that investigated the effects of climate change on global tree diversity patterns and R scripts to repeat these analyses have been described by Kindt, R. (2023). TreeGOER: A database with globally observed environmental ranges for 48,129 tree species. Global Change Biology, 00, 1–16. https://onlinelibrary.wiley.com/doi/10.1111/gcb.16914.

TreeGOER can be used in combination with the CitiesGOER database (https://doi.org/10.5281/zenodo.8175429) that documents the conditions for the same environmental variables (except elevation) for 52,602 cities with a human population ≥ 5000. An alternative to CitiesGOER is the ClimateForecasts database (https://zenodo.org/records/10776414), a database documenting the environmental conditions at the locations of 15,504 weather stations that was also integrated in the GlobalUsefulNativeTrees database (see Kindt et al. 2023). TreeGOER could also be used with the TreeGOER Global Zones atlas that can be obtained from https://doi.org/10.5281/zenodo.8252756. This high-resolution atlas includes sheets with global zones for the Climatic Moisture Index (CMI) and the number of months with average temperature > 10 degrees C (Tmo10); these are zones for which presence of the 48,129 species was documented by TreeGOER.

Changes between different versions of the databases are documented in a specific sheet in the metadata file.

The development of TreeGOER was supported by the Darwin Initiative to project DAREX001 of Developing a Global Biodiversity Standard certification for tree-planting and restoration, by Norway’s International Climate and Forest Initiative through the Royal Norwegian Embassy in Ethiopia to the Provision of Adequate Tree Seed Portfolio project in Ethiopia, and by the Green Climate Fund through the IUCN-led Transforming the Eastern Province of Rwanda through Adaptation project. When using TreeGOER in your work, cite the publication (Kindt 2023) as well as this repository using the DOI (https://doi.org/10.5281/zenodo.7922927).