cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.k4aspg
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Talismania antillarum (Goode & Bean, 1896)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((6.1346 -1.4131,6.0095 -1.0885,5.5445 -0.9058,5.2269 -1.0828,5.1089 -1.4368,5.2587 -1.812,5.5948 -1.957,6.0445 -1.7393,6.1346 -1.4131))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011964-250525065834625/datasets/export for details.
DOI: 10.15468/dl.huk9z8
title: Occurrence Download

description: A dataset containing 702 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Denmark",
 {
 "or" : [
 "Geometry MULTIPOLYGON(((12.58157 55.69372,12.58152 55.69379,12.58147 55.69386,12.5813 55.6941,12.58128 55.69413,12.58083 55.69476,12.58073 55.6949,12.58069 55.69496,12.58071 55.69496,12.58067 55.69501,12.58069 55.69501,12.58067 55.69503,12.58058 55.69514,12.58049 55.69524,12.58044 55.6953,12.58029 55.69538,12.58026 55.6954,12.58021 55.69543,12.5802 55.69523,12.57976 55.69524,12.57914 55.69454,12.57876 55.6941,12.57846 55.69378,12.57831 55.69361,12.57848 55.69355,12.57834 55.69267,12.57974 55.69253,12.58087 55.69242,12.58145 55.69282,12.5815 55.69285,12.58166 55.69296,12.58176 55.69303,12.58207 55.69324,12.58252 55.69315,12.58261 55.69308,12.58276 55.69314,12.58271 55.69315,12.58214 55.69343,12.58193 55.69354,12.58184 55.69359,12.58157 55.69372)))",
 "Geometry MULTIPOLYGON(((12.52221 55.71193,12.52201 55.71247,12.52151 55.71242,12.52173 55.71187,12.52221 55.71193)))",
 "Geometry MULTIPOLYGON(((12.53452 55.65579,12.53446 55.65578,12.53371 55.65568,12.53387 55.65543,12.53465 55.65552,12.53452 55.65579)))",
 "Geometry MULTIPOLYGON(((12.53332 55.66186,12.53414 55.66016,12.53439 55.65957,12.53465 55.65957,12.53472 55.65944,12.53615 55.65944,12.53561 55.66144,12.53552 55.66248,12.53332 55.66186)))",
 "Geometry MULTIPOLYGON(((12.53204 55.66151,12.53262 55.65997,12.53414 55.66016,12.53332 55.66186,12.53204 55.66151)))",
 "Geometry MULTIPOLYGON(((12.53238 55.67451,12.53227 55.67411,12.53227 55.67411,12.53344 55.67399,12.53328 55.67351,12.53419 55.67339,12.53403 55.67292,12.53293 55.67301,12.53282 55.67266,12.53531 55.6724,12.53593 55.67424,12.5333 55.6745,12.53238 55.67451)))",
 "Geometry MULTIPOLYGON(((12.51032 55.67439,12.51038 55.67361,12.50956 55.67361,12.50959 55.67292,12.50995 55.6729,12.51002 55.6728,12.51003 55.67231,12.51044 55.67231,12.51045 55.67242,12.51137 55.67242,12.5114 55.67226,12.5121 55.67226,12.51216 55.67283,12.51343 55.6728,12.51349 55.67259,12.51414 55.67256,12.51414 55.6722,12.51818 55.6721,12.51931 55.6749,12.5132 55.67499,12.5132 55.67493,12.51095 55.67493,12.51032 55.67439)))"
 ]
 },
 "HasCoordinate is true",
 "TaxonKey is Animalia",
 "Year is 2013"
 ]
}

 The dataset includes 702 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011965-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.khgbcm
title: Occurrence Download

description: A dataset containing 586 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Crotalus aquilus Klauber, 1952"
 ]
}

 The dataset includes 586 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011966-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k5ebsc
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Talismania antillarum (Goode & Bean, 1896)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((7.2551 0.4095,6.9596 0.8334,6.5492 0.9061,6.0738 0.5779,5.9713 0.201,6.1078 -0.2929,6.5348 -0.5139,7.0629 -0.1853,7.2551 0.4095))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011967-250525065834625/datasets/export for details.
DOI: 10.15468/dl.eejcjx
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Talismania antillarum (Goode & Bean, 1896)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((8.2112 -0.773,8.9648 -2.2147,8.9648 1.4824,8.8631 1.3007,8.8278 -0.0747,8.2974 -0.3332,8.2112 -0.773))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011968-250525065834625/datasets/export for details.
DOI: 10.5281/zenodo.15564512
title: Correctness and completeness of artificial general intelligence in the diagnosis and treatment recommendations for failed or painful total hip arthroplasty

description: Study potocol

Final dataset
DOI: 10.5281/zenodo.15564513
title: Correctness and completeness of artificial general intelligence in the diagnosis and treatment recommendations for failed or painful total hip arthroplasty

description: Study potocol

Final dataset
DOI: 10.15468/dl.cjxeff
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((6.8105 45.65751,7.16871 45.65751,7.16871 45.88267,6.8105 45.88267,6.8105 45.65751))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Sempervivum tectorum L."
 ]
}

 The dataset includes 18 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011969-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d97zrf
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Talismania antillarum (Goode & Bean, 1896)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((7.9237 1.4388,7.9186 1.8496,6.9096 1.8496,6.7752 1.3312,7.0614 0.9078,7.5027 0.9107,7.9237 1.4388))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011971-250525065834625/datasets/export for details.
DOI: 10.6084/m9.figshare.29205452
title: Original data for "Combined measurement of soil permittivity and electrical conductivity using UAV-based ground penetrating radar"

description: Soil water content and salinity are critical for agricultural productivity, ecosystem health, and sustainable land management. Traditional methods for measuring these properties—such as lab-based soil sampling or ground sensors—are labor-intensive, spatially limited, or disruptive. Remote sensing offers broader coverage but struggles to balance resolution, cost, and accuracy. This study introduces a novel unmanned aerial vehicle (UAV) based system carrying ground-penetrating radar (GPR) with multi-frequency antennas to non-invasively map soil electrical properties (relative permittivity and electrical conductivity), which are empirically linked to water content and salinity. Unlike complex inversion-based approaches, this method uses surface reflection coefficients from GPR scans, enabling rapid, high-resolution field-scale surveys. Field tests in China’s Yangtze River riparian zone and Yellow Sea salinized areas demonstrated strong agreement between UAV-GPR estimates and in-situ soil sensor data. The approach avoids soil disturbance and costly fieldwork, addressing gaps in scalable, precise soil monitoring. By enabling detailed spatial mapping of soil variability, this UAV-GPR method supports precision agriculture (e.g., irrigation optimization), soil health assessment, and salinization management. It bridges the resolution gap between localized sensors and coarse satellite data, offering a practical tool for advancing hydrological research and sustainable land-use practices.
DOI: 10.6084/m9.figshare.29205452.v1
title: Original data for "Combined measurement of soil permittivity and electrical conductivity using UAV-based ground penetrating radar"

description: Soil water content and salinity are critical for agricultural productivity, ecosystem health, and sustainable land management. Traditional methods for measuring these properties—such as lab-based soil sampling or ground sensors—are labor-intensive, spatially limited, or disruptive. Remote sensing offers broader coverage but struggles to balance resolution, cost, and accuracy. This study introduces a novel unmanned aerial vehicle (UAV) based system carrying ground-penetrating radar (GPR) with multi-frequency antennas to non-invasively map soil electrical properties (relative permittivity and electrical conductivity), which are empirically linked to water content and salinity. Unlike complex inversion-based approaches, this method uses surface reflection coefficients from GPR scans, enabling rapid, high-resolution field-scale surveys. Field tests in China’s Yangtze River riparian zone and Yellow Sea salinized areas demonstrated strong agreement between UAV-GPR estimates and in-situ soil sensor data. The approach avoids soil disturbance and costly fieldwork, addressing gaps in scalable, precise soil monitoring. By enabling detailed spatial mapping of soil variability, this UAV-GPR method supports precision agriculture (e.g., irrigation optimization), soil health assessment, and salinization management. It bridges the resolution gap between localized sensors and coarse satellite data, offering a practical tool for advancing hydrological research and sustainable land-use practices.
DOI: 10.6084/m9.figshare.29205452.v2
title: Original data for "Combined measurement of soil permittivity and electrical conductivity using UAV-based ground penetrating radar"

description: Soil water content and salinity are critical for agricultural productivity, ecosystem health, and sustainable land management. Traditional methods for measuring these properties—such as lab-based soil sampling or ground sensors—are labor-intensive, spatially limited, or disruptive. Remote sensing offers broader coverage but struggles to balance resolution, cost, and accuracy. This study introduces a novel unmanned aerial vehicle (UAV) based system carrying ground-penetrating radar (GPR) with multi-frequency antennas to non-invasively map soil electrical properties (relative permittivity and electrical conductivity), which are empirically linked to water content and salinity. Unlike complex inversion-based approaches, this method uses surface reflection coefficients from GPR scans, enabling rapid, high-resolution field-scale surveys. Field tests in China’s Yangtze River riparian zone and Yellow Sea salinized areas demonstrated strong agreement between UAV-GPR estimates and in-situ soil sensor data. The approach avoids soil disturbance and costly fieldwork, addressing gaps in scalable, precise soil monitoring. By enabling detailed spatial mapping of soil variability, this UAV-GPR method supports precision agriculture (e.g., irrigation optimization), soil health assessment, and salinization management. It bridges the resolution gap between localized sensors and coarse satellite data, offering a practical tool for advancing hydrological research and sustainable land-use practices.
DOI: 10.15468/dl.vhtxg3
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Talismania antillarum (Goode & Bean, 1896)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((8.9648 28.8496,-0.0352 28.8496,-0.0352 19.8496,8.9648 19.8496,8.9648 28.8496))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011973-250525065834625/datasets/export for details.
DOI: 10.15468/dl.xcjjup
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Talismania antillarum (Goode & Bean, 1896)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((8.9648 19.8496,-0.0352 19.8496,-0.0352 10.8496,8.9648 10.8496,8.9648 19.8496))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011976-250525065834625/datasets/export for details.
DOI: 10.15468/dl.329fns
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Talismania antillarum (Goode & Bean, 1896)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((1.2219 37.0382,-0.0352 36.4794,-0.0352 28.8496,8.9648 28.8496,8.9648 37.5879,8.4538 37.4177,7.4601 37.5841,6.845 37.4576,6.4593 37.5936,5.3421 37.2141,4.9133 37.3804,3.8874 37.4256,1.2219 37.0382))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011978-250525065834625/datasets/export for details.
DOI: 10.15468/dl.jmnn7d
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Talismania antillarum (Goode & Bean, 1896)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((27.0623 31.9334,26.9648 31.9498,26.9648 28.8496,35.2246 28.8496,35.4082 29.442,34.5107 31.7446,34.2089 31.83,33.6449 31.6171,32.7153 31.5989,32.1134 31.9914,31.0159 32.1003,30.233 31.9935,29.1426 31.3343,27.0623 31.9334))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011979-250525065834625/datasets/export for details.
DOI: 10.15468/dl.gafwme
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Talismania antillarum (Goode & Bean, 1896)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((34.9038 27.8147,35.2246 28.8496,26.9648 28.8496,26.9648 19.8496,35.9648 19.8496,35.9648 24.4806,35.4928 25.0593,34.4963 26.7709,34.4829 27.231,34.9038 27.8147))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011980-250525065834625/datasets/export for details.
DOI: 10.15468/dl.fkntdt
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Talismania antillarum (Goode & Bean, 1896)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((26.6413 -34.1504,26.9648 -34.0826,26.9648 -25.1504,17.9648 -25.1504,17.9648 -34.1504,26.6413 -34.1504))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011981-250525065834625/datasets/export for details.
DOI: 10.15468/dl.63bp5r
title: Occurrence Download

description: A dataset containing 13278 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "TaxonKey is Tapirus terrestris (Linnaeus, 1758)"
 ]
}

 The dataset includes 13278 records from 153 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001675-250424135625364/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15475330
title: Processed model output in support of Pope and Igel 2025

description: The data and python script can be used to recreate all plots appearing in Pope and Igel 2025, Counteracting influences of gravitational settling modulate aerosol impacts on cloud-base-lowering fog characteristics, Atmospheric Chemistry and Physics.
DOI: 10.5281/zenodo.15475331
title: Processed model output in support of Pope and Igel 2025

description: The data and python script can be used to recreate all plots appearing in Pope and Igel 2025, Counteracting influences of gravitational settling modulate aerosol impacts on cloud-base-lowering fog characteristics, Atmospheric Chemistry and Physics.
DOI: 10.15468/dl.xpfbsa
title: Occurrence Download

description: A dataset containing 7322 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pastinaca sativa L.",
 "Country is Denmark"
 ]
}

 The dataset includes 7322 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007387-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18433623
title: Research Software Engineer Security Culture Survey and Dataset

description: Survey distributed to both US and GER.
DOI: 10.5281/zenodo.18433622
title: Research Software Engineer Security Culture Survey and Dataset

description: Survey distributed to both US and GER.
DOI: 10.5281/zenodo.18337829
title: Application of nanopore sequencing of activated sludge bacteriome for wastewater treatment process control

description: These data are intended for the storage of sequencing data in FASTQ format within the project entitled Application of nanopore sequencing of activated sludge bacteriome for wastewater treatment process control.The aim of this project is the detection of technologically undesirable bacterial species occurring in activated sludge using nanopore sequencing. The objective was to design and optimize a nanopore sequencing method targeting the 16S rRNA gene to determine bacterial diversity and subsequently detect and quantify significant bacterial species that influence the proper course of the wastewater treatment process.

The dataset consists of a total of six files containing raw data in FASTQ format, serving as input data for the project output TQ03000804 in the form of a Ztech-verified technology. The measurements were carried out in parallel at two workplaces, namely VŠCHT Prague and PVK, a.s., in three temporally separated sequencing runs (i.e., three files for the PVK, a.s. laboratory and three files for VŠCHT Prague).

The data were subjected to so-called basecalling, during which the data were converted from POD5 format to FASTQ format. This process involves assigning specific nucleotide bases to individual changes in electrical current using the MinKNOW software (Oxford Nanopore Technologies). In the subsequent step, the data must undergo demultiplexing based on barcode sequences specific to individual samples, along with the removal of sequencing adapters, barcodes, and primers (trimming).
DOI: 10.5281/zenodo.18337828
title: Application of nanopore sequencing of activated sludge bacteriome for wastewater treatment process control

description: These data are intended for the storage of sequencing data in FASTQ format within the project entitled Application of nanopore sequencing of activated sludge bacteriome for wastewater treatment process control.The aim of this project is the detection of technologically undesirable bacterial species occurring in activated sludge using nanopore sequencing. The objective was to design and optimize a nanopore sequencing method targeting the 16S rRNA gene to determine bacterial diversity and subsequently detect and quantify significant bacterial species that influence the proper course of the wastewater treatment process.

The dataset consists of a total of six files containing raw data in FASTQ format, serving as input data for the project output TQ03000804 in the form of a Ztech-verified technology. The measurements were carried out in parallel at two workplaces, namely VŠCHT Prague and PVK, a.s., in three temporally separated sequencing runs (i.e., three files for the PVK, a.s. laboratory and three files for VŠCHT Prague).

The data were subjected to so-called basecalling, during which the data were converted from POD5 format to FASTQ format. This process involves assigning specific nucleotide bases to individual changes in electrical current using the MinKNOW software (Oxford Nanopore Technologies). In the subsequent step, the data must undergo demultiplexing based on barcode sequences specific to individual samples, along with the removal of sequencing adapters, barcodes, and primers (trimming).
DOI: 10.15468/dl.4rc8v2
title: Occurrence Download

description: A dataset containing 91342 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lithobates pipiens"
 ]
}

 The dataset includes 91342 records from 142 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002247-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18433701
title: Mathematica code for computing the plot related to Quantum-Frequantial Computing

description: Mathematica code for computing the plot in a to-appear-on-the-arXiv paper. The paper will cite this work via its doi.
DOI: 10.5281/zenodo.18433700
title: Mathematica code for computing the plot related to Quantum-Frequantial Computing

description: Mathematica code for computing the plot in a to-appear-on-the-arXiv paper. The paper will cite this work via its doi.
DOI: 10.5284/1139366
title: Land to the East of Redwald Road, Rendlesham, Suffolk: An Archaeological Evaluation

description: null
DOI: 10.34740/kaggle/dsv/14678822
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.tns4qm
title: Occurrence Download

description: A dataset containing 3407748 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is Philippines",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 3407748 records from 2117 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002238-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.