cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.hs5ybv
title: Occurrence Download

description: A dataset containing 550 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "TaxonKey is Panthera onca (Linnaeus, 1758)",
 "Year 1980-2014"
 ]
}

 The dataset includes 550 records from 48 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067440-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7hnz5p
title: Occurrence Download

description: A dataset containing 80217 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "CoordinateUncertaintyInMeters 0.0-500.0",
 "Country is Ecuador",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 80217 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0347551-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dgivqb
title: Occurrence Download

description: A dataset listing the 18971 species recorded in GBIF matching the query:
{
 "Country" : [
 "is Ghana"
 ]
}

 The dataset's 18971 records were derived from 520 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013175-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26190/unsworks/30497
title: Optometry and vision science sample examination questions and answers

description: This document contains sample of past examination or sample questions with matching answers/marking rubrics for various sub-domains within optometry and vision science. All contributors are listed. It is primarily intended as an open resource for benchmarking LLMs' capabilities for answering domain specific optometry and vision science written questions.
description: These questions and answers were collected from teaching material from courses taught within School of Optometry and Vision Science, Faculty of Medicine, UNSW Sydney. All questions are entirely "synthetic", and does not contain any data obtained from real patients.
DOI: 10.15468/dl.m6ppj8
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Lithocarpus dahuoaiensis Ngoc & L.V.Dung"
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000211-250226211154957/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4mcbau
title: Occurrence Download

description: A dataset containing 66 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lithocarpus xylocarpus (Kurz) Markgr."
 ]
}

 The dataset includes 66 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000195-250226211518916/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.eaecdn
title: Occurrence Download

description: A dataset containing 379 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Echinops gmelinii Turcz."
 ]
}

 The dataset includes 379 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000212-250226211154957/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.28490087
title: Image-based porosity

description: Soil organic matter (SOM) has attracted a great deal of interest and has been the focus of many recent studies because of the potential for soils to store organic matter and mitigate human derived CO<sub>2</sub> emissions. Although recent studies have addressed different aspects of SOM behavior in soils, transport properties of different soil organic matter compounds, which may be directly and/or indirectly related to their stability, are poorly understood, and insufficiently documented. The objectives of the study was to develop a workflow that enables us to 1) Investigate the advective and diffusive mass transport and desorption behavior of the soil organic matter compounds (compare mass transport of different compounds); 2) Measure the extent and rates of the desorption reactions using experimental data from stop-and continuous-flow experiments; 3) Conduct high-resolution imaging inspections and pre-and post-experimental extractions to provide additional insights on soil microporosity control on SOM compound-specific mobility. A series of stop- and continuous-flow column experiments were performed with small diameter intact cores (which allowed for high-resolution imaging) of two representative soil samples collected in a cultivated and an undisturbed/uncultivated area. X-ray computed tomography (XCT) imaging was used to characterize soil porosity and pore network connectivity in the intact cores and Fourier-transform ion cyclotron resonance mass spectrometry (FT-ICR-MS) based analyses were carried out for SOM characterization.
DOI: 10.6084/m9.figshare.28490087.v1
title: Image-based porosity

description: Soil organic matter (SOM) has attracted a great deal of interest and has been the focus of many recent studies because of the potential for soils to store organic matter and mitigate human derived CO<sub>2</sub> emissions. Although recent studies have addressed different aspects of SOM behavior in soils, transport properties of different soil organic matter compounds, which may be directly and/or indirectly related to their stability, are poorly understood, and insufficiently documented. The objectives of the study was to develop a workflow that enables us to 1) Investigate the advective and diffusive mass transport and desorption behavior of the soil organic matter compounds (compare mass transport of different compounds); 2) Measure the extent and rates of the desorption reactions using experimental data from stop-and continuous-flow experiments; 3) Conduct high-resolution imaging inspections and pre-and post-experimental extractions to provide additional insights on soil microporosity control on SOM compound-specific mobility. A series of stop- and continuous-flow column experiments were performed with small diameter intact cores (which allowed for high-resolution imaging) of two representative soil samples collected in a cultivated and an undisturbed/uncultivated area. X-ray computed tomography (XCT) imaging was used to characterize soil porosity and pore network connectivity in the intact cores and Fourier-transform ion cyclotron resonance mass spectrometry (FT-ICR-MS) based analyses were carried out for SOM characterization.
DOI: 10.15468/dl.hzugg5
title: Occurrence Download

description: A dataset containing 109 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((108.33858 -25.05511,155.66074 -33.41592,150.05901 -2.81537,102.15158 2.20112,108.33858 -25.05511))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Cervus timorensis Blainville, 1822"
 ]
}

 The dataset includes 109 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000196-250226211518916/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vpf5se
title: Occurrence Download

description: A dataset containing 2693726 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "HasCoordinate is true",
 "Year is 2014",
 "Month is August"
 ]
}

 The dataset includes 2693726 records from 500 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000201-250226211154957/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tg76fx
title: Occurrence Download

description: A dataset containing 1048 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Helianthus debilis subsp. cucumerifolius (Torr. & A.Gray) Heiser"
 ]
}

 The dataset includes 1048 records from 103 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000198-250226211518916/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tvuyn5
title: Occurrence Download

description: A dataset containing 9851 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tremarctos ornatus (F.G.Cuvier, 1825)"
 ]
}

 The dataset includes 9851 records from 117 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000197-250226211518916/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c6hqhr
title: Occurrence Download

description: A dataset containing 596 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dichrocephala benthamii C.B.Clarke"
 ]
}

 The dataset includes 596 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000199-250226211518916/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pbzteg
title: Occurrence Download

description: A dataset listing the 13937 species recorded in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Colombia",
 {
 "and" : [
 "Country is Colombia",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 }
 ]
 },
 "StateProvince is one of (tolima)"
 ]
}

 The dataset's 13937 records were derived from 473 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000207-250226211154957/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14934278
title: bw_check
DOI: 10.5281/zenodo.14934279
title: bw_check
DOI: 10.15468/dl.srnejj
title: Occurrence Download

description: A dataset containing 14733 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Heteropoda Latreille, 1804"
 ]
}

 The dataset includes 14733 records from 100 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000200-250226211518916/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gavdtc
title: Occurrence Download

description: A dataset listing the 5806 species recorded in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Colombia",
 {
 "and" : [
 "Country is Colombia",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 }
 ]
 },
 "StateProvince is one of (sucre)"
 ]
}

 The dataset's 5806 records were derived from 234 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000205-250226211154957/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mhaf8c
title: Occurrence Download

description: A dataset listing the 532 species recorded in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Colombia",
 {
 "and" : [
 "Country is Colombia",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 }
 ]
 },
 "StateProvince is one of (vaupes)"
 ]
}

 The dataset's 532 records were derived from 88 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000208-250226211154957/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/81eb-cw97
title: DOA estimation dataset for variable number of signals

description: Dataset for multiple signal DOA estmation. This the original dataset used in our research. we consider a ULA with M = 16 antenna elements spaced at half-wavelength distance (l = λ/2). We consider narrowband, non-coherent signals with different intermediate frequencies (IF) transmitted from different sources. The signals are sampled at the intermediate frequency with a sampling frequency of 2.5MHz and 300 sample points. Then we simulate the array received signal according to signal model (1) at different SNRs of {-10, -9, -8, -7, -6, -5, -4, -3, -2, -1, 0, 1, 2, 3, 4, 5} dB.
DOI: 10.15156/bio/sh1055435.10fu
title: SH1055435.10FU

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/sh1055437.10fu
title: SH1055437.10FU

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.t64ybs
title: Occurrence Download

description: A dataset containing 383 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lechriodus melanopyga"
 ]
}

 The dataset includes 383 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002391-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1055438.10fu
title: SH1055438.10FU

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/sh1055441.10fu
title: SH1055441.10FU

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/sh1055443.10fu
title: SH1055443.10FU

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/sh1055446.10fu
title: SH1055446.10FU

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/sh1055447.10fu
title: SH1055447.10FU

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/sh1055448.10fu
title: SH1055448.10FU

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/sh1055449.10fu
title: SH1055449.10FU

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.