cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.3brgbb
title: Occurrence Download

description: A dataset containing 15992 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Aeronautes andecolus)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "License is one of (CC-BY 4.0, CC0 1.0)"
 ]
}

 The dataset includes 15992 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0077023-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jybvpb
title: Occurrence Download

description: A dataset containing 1653 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is Indonesia",
 "TaxonKey is Coccinellidae"
 ]
}

 The dataset includes 1653 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0077024-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mczc3r
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Harttia gracilis)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 10 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0077025-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.983487
title: ANT 2013/14 : AWI airborne Snow Radar data over western Dronning Maund Land at the EPICA DML ice core site, Slessor Ice Stream, Stancomb-Wills Ice Stream, and Antarctic Peninsula (CoFi Structure project)

description: This dataset contains airborne radar data acquired using the AWI Snow Radar (SNOW) system during the Antarctic season of 2013/14. The profiles cover the EPICA DML ice core site, Slessor Ice Stream, Stancomb-Wills Ice Stream, and Antarctic Peninsula. The data are available as netCDF files (including waveforms and metadata), KML files of the profile line locations, and quicklook images of the radargrams.
description: Project PI: Daniel Steinhage (AWI)Contact persons for AWI Radio-echo sounding data: Daniel Steinhage (daniel.steinhage@awi.de), Veit Helm (veit.helm@awi.de), Olaf Eisen (olaf.eisen@awi.de)--The netCDF files contain the following variables:altitude: Platform altitude (WGS84) in metersbed_elevation: Bed elevation for each trace (without applying a firn correction and permitivity of ice: 3.15) in metersbed_pick: picked Bed location for each trace, expressed as twt in seconds from time zerodata: Radar data (Values in dBm after DC conversion)data_agc: Scaled radar data using automatic gain control (AGC)distance: Along-track distance in metersice_thickness: Ice thickness for each trace (without applying a firn correction and permitivity of ice: 3.15) in meterslat: Latitude in decimal degrees (WGS84)lon: Longitude in decimal degrees (WGS84)range: Range between sensor and surface in metersspacing: Along-track trace to trace spacing in meterssurface: Surface elevation derived from radar (WGS84) in meterssurface_pick: Picked surface reflection in two-way travel time in secondstime: Seconds of daytwt: Two-way travel time (twt) in seconds
DOI: 10.1594/pangaea.983498
title: Meteorological synoptical observations from station Toravere (2025-05)
DOI: 10.1594/pangaea.983499
title: Basic and other measurements of radiation at station Toravere (2025-05)

description: LW radiation data is not available yet (technical reasons)
DOI: 10.15468/dl.mvsvn6
title: Occurrence Download

description: A dataset containing 53 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Vachellia farnesiana",
 "Country is France",
 "HasCoordinate is true"
 ]
}

 The dataset includes 53 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0077028-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s9ww79
title: Occurrence Download

description: A dataset containing 948 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Aethopyga bella)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "License is one of (CC-BY 4.0, CC0 1.0)"
 ]
}

 The dataset includes 948 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0077030-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vt3yhn
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Oryzaephilus surinamensis",
 "Country is Latvia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0077027-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e26zc7
title: Occurrence Download

description: A dataset containing 549 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Boehmeria nivea",
 "HasCoordinate is TRUE",
 "Country is Korea, Republic of"
 ]
}

 The dataset includes 549 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0077031-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zz73rt
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Vachellia farnesiana",
 "Country is Ghana",
 "HasCoordinate is true"
 ]
}

 The dataset includes 12 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0077032-250717081556266/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.28777220
title: Multispectral imaging allows a quick and non-destructive determination of the seed viability of <i>Vicia sativa</i>

description: Fast, non-destructive and low-cost detection of seed viability is important for seed storage and agricultural production. In this study, multispectral imaging (MSI) was applied to identify the seed viability of three cultivars of <i>Vicia sativa</i>. The results showed that both linear discriminant analysis (LDA) and support vector machine (SVM) for specific cultivars showed a high accuracy in distinguishing viable and non-viable seeds. Seed imbibition favoured seed viability discrimination in three cultivars with either LDA or SVM. However, the cultivar-specific transferability is quite low among cultivars regardless of their imbibition state in our study. These results suggested that MSI could be developed as a fast and cost-effective seed viability classification method for any specific cultivar of <i>Vicia sativa.</i> However, the low transferability of the discrimination model among cultivars may limit this technology application in more general scenarios.
DOI: 10.6084/m9.figshare.28777220.v1
title: Multispectral imaging allows a quick and non-destructive determination of the seed viability of <i>Vicia sativa</i>

description: Fast, non-destructive and low-cost detection of seed viability is important for seed storage and agricultural production. In this study, multispectral imaging (MSI) was applied to identify the seed viability of three cultivars of <i>Vicia sativa</i>. The results showed that both linear discriminant analysis (LDA) and support vector machine (SVM) for specific cultivars showed a high accuracy in distinguishing viable and non-viable seeds. Seed imbibition favoured seed viability discrimination in three cultivars with either LDA or SVM. However, the cultivar-specific transferability is quite low among cultivars regardless of their imbibition state in our study. These results suggested that MSI could be developed as a fast and cost-effective seed viability classification method for any specific cultivar of <i>Vicia sativa.</i> However, the low transferability of the discrimination model among cultivars may limit this technology application in more general scenarios.
DOI: 10.6084/m9.figshare.28928231
title: Development of a multiplex PCR system for efficient pathogen detection in alfalfa plants

description: A multiplex PCR protocol was developed for the simultaneous detection of major pathogens affecting alfalfa (<i>Medicago sativa</i> L.), including oomycetes and fungi (<i>Phytophthora medicaginis</i>, <i>Xylaria</i> sp., <i>Fusarium oxysporum</i> forma specialis (f. sp.) <i>medicaginis</i>, <i>Rhizoctonia solani</i>, <i>Peronospora trifoliorum</i>, <i>Athelia rolfsii</i>, <i>Pseudopeziza medicaginis</i>, <i>Uromyces striatus</i>, <i>Diaporthe</i> sp. and <i>Phoma medicaginis</i>) and bacteria (<i>Xanthomonas alfalfae</i> subsp. <i>alfalfae</i> and <i>Pseudomonas syringae</i>). DNA for validation was extracted from 15 alfalfa samples collected throughout Argentina, and Normalised Difference Vegetation Index (NDVI) data from OneSoil were used to analyse and normalise collection sites. Results showed that <i>Rhizoctonia solani</i>, <i>Athelia rolfsii</i>, <i>Diaporthe</i> sp. and <i>Xanthomonas alfalfae</i> were present in 100% of samples, providing insight into the prevalence of these pathogens. <i>Xylaria</i> sp. and <i>Pseudopeziza medicaginis</i> were detected in only 30% of the samples, suggesting that corky root rot and common leaf spot had low prevalence in the region during the study period. Overall, this multiplex protocol allows efficient, global pathogen detection in alfalfa, supporting better disease management and crop improvement. The results highlight the potential to guide rural producers in mitigating key diseases regionally and globally.
DOI: 10.6084/m9.figshare.29614416
title: Identifying emerging weeds as targets for biocontrol in New Zealand: what can we learn from the Survey of Rural Decision Makers?

description: New Zealand is challenged by exotic weeds that threaten ecosystems and productive land. Weed biocontrol, involving introduced natural enemies like insects or fungi, offers a sustainable solution but is often limited to widespread weeds due to high upfront costs. Targeting emerging weeds early, especially those already biocontrolled elsewhere, could be more efficient. We examine data from a Survey of Rural Decision Makers (SRDM) to identify whether important emerging weeds in the rural sector have been overlooked, and to assess the potential for cost-effective biocontrol using agents developed elsewhere. Since 2013, SRDM surveys c. 5,000 rural stakeholders on land management issues, including weeds, biennially. In 2019, 2021, and 2023, respondents identified emerging weeds they expected may require management within five years. Most weeds identified are already targeted for biocontrol, confirming the effectiveness of current prioritisation. In this study, we identified weeds of concern to farmers that have been targeted with biocontrol elsewhere, highlighting the potential for cost-effective repeat biocontrol programmes. SRDM provides a valuable source for insights into emerging weed threats, complementing existing processes. Monitoring these trends can refine biocontrol priorities, ensuring timely, strategic interventions for weed management in New Zealand.
DOI: 10.6084/m9.figshare.29614416.v1
title: Identifying emerging weeds as targets for biocontrol in New Zealand: what can we learn from the Survey of Rural Decision Makers?

description: New Zealand is challenged by exotic weeds that threaten ecosystems and productive land. Weed biocontrol, involving introduced natural enemies like insects or fungi, offers a sustainable solution but is often limited to widespread weeds due to high upfront costs. Targeting emerging weeds early, especially those already biocontrolled elsewhere, could be more efficient. We examine data from a Survey of Rural Decision Makers (SRDM) to identify whether important emerging weeds in the rural sector have been overlooked, and to assess the potential for cost-effective biocontrol using agents developed elsewhere. Since 2013, SRDM surveys c. 5,000 rural stakeholders on land management issues, including weeds, biennially. In 2019, 2021, and 2023, respondents identified emerging weeds they expected may require management within five years. Most weeds identified are already targeted for biocontrol, confirming the effectiveness of current prioritisation. In this study, we identified weeds of concern to farmers that have been targeted with biocontrol elsewhere, highlighting the potential for cost-effective repeat biocontrol programmes. SRDM provides a valuable source for insights into emerging weed threats, complementing existing processes. Monitoring these trends can refine biocontrol priorities, ensuring timely, strategic interventions for weed management in New Zealand.
DOI: 10.6084/m9.figshare.28582876
title: Wild carrot (<i>Daucus carota</i> L.) is resistant to glyphosate in vineyards in Marlborough, New Zealand

description: Glyphosate is the most frequently used herbicide in vineyards. Ryegrass (<i>Lolium</i> spp.) has developed resistance to glyphosate in vineyards across New Zealand. Recently, two vineyards in Marlborough were suspected to have glyphosate-resistant wild carrot (<i>Daucus carota</i> L.). Seeds from those vineyards, and two others without suspected resistance, were collected and tested with recommended rates of glyphosate (720 g ai ha<sup>−1</sup>), glufosinate-ammonium (1500 g ai ha<sup>−1</sup>) and amitrole (4000 g ai ha<sup>−1</sup>). Glyphosate did not kill wild carrot plants from the suspected resistant vineyards but glufosinate-ammonium and amitrole were effective. Wild carrot seedlings from a putative-resistant population (Renwick) and susceptible population (Riverlands) were treated again with glyphosate in dose–response assays. The other two populations had insufficient seed or poor germination and were excluded. Dose–response assays revealed that wild carrot plants from one of these vineyards (Renwick) were 2.91–6.64 times less sensitive to glyphosate (LD<sub>50</sub> versus GR<sub>50</sub>) than plants from a susceptible population (Riverlands). The Renwick population exhibited 91% survival at the recommended rate of glyphosate (compared to 13% survival for Riverlands). Frequent usage of glyphosate in vineyards has been selected for resistance in wild carrot. This is the first study to document glyphosate resistance in wild carrot globally.
DOI: 10.6084/m9.figshare.28928231.v1
title: Development of a multiplex PCR system for efficient pathogen detection in alfalfa plants

description: A multiplex PCR protocol was developed for the simultaneous detection of major pathogens affecting alfalfa (<i>Medicago sativa</i> L.), including oomycetes and fungi (<i>Phytophthora medicaginis</i>, <i>Xylaria</i> sp., <i>Fusarium oxysporum</i> forma specialis (f. sp.) <i>medicaginis</i>, <i>Rhizoctonia solani</i>, <i>Peronospora trifoliorum</i>, <i>Athelia rolfsii</i>, <i>Pseudopeziza medicaginis</i>, <i>Uromyces striatus</i>, <i>Diaporthe</i> sp. and <i>Phoma medicaginis</i>) and bacteria (<i>Xanthomonas alfalfae</i> subsp. <i>alfalfae</i> and <i>Pseudomonas syringae</i>). DNA for validation was extracted from 15 alfalfa samples collected throughout Argentina, and Normalised Difference Vegetation Index (NDVI) data from OneSoil were used to analyse and normalise collection sites. Results showed that <i>Rhizoctonia solani</i>, <i>Athelia rolfsii</i>, <i>Diaporthe</i> sp. and <i>Xanthomonas alfalfae</i> were present in 100% of samples, providing insight into the prevalence of these pathogens. <i>Xylaria</i> sp. and <i>Pseudopeziza medicaginis</i> were detected in only 30% of the samples, suggesting that corky root rot and common leaf spot had low prevalence in the region during the study period. Overall, this multiplex protocol allows efficient, global pathogen detection in alfalfa, supporting better disease management and crop improvement. The results highlight the potential to guide rural producers in mitigating key diseases regionally and globally.
DOI: 10.6084/m9.figshare.28582876.v1
title: Wild carrot (<i>Daucus carota</i> L.) is resistant to glyphosate in vineyards in Marlborough, New Zealand

description: Glyphosate is the most frequently used herbicide in vineyards. Ryegrass (<i>Lolium</i> spp.) has developed resistance to glyphosate in vineyards across New Zealand. Recently, two vineyards in Marlborough were suspected to have glyphosate-resistant wild carrot (<i>Daucus carota</i> L.). Seeds from those vineyards, and two others without suspected resistance, were collected and tested with recommended rates of glyphosate (720 g ai ha<sup>−1</sup>), glufosinate-ammonium (1500 g ai ha<sup>−1</sup>) and amitrole (4000 g ai ha<sup>−1</sup>). Glyphosate did not kill wild carrot plants from the suspected resistant vineyards but glufosinate-ammonium and amitrole were effective. Wild carrot seedlings from a putative-resistant population (Renwick) and susceptible population (Riverlands) were treated again with glyphosate in dose–response assays. The other two populations had insufficient seed or poor germination and were excluded. Dose–response assays revealed that wild carrot plants from one of these vineyards (Renwick) were 2.91–6.64 times less sensitive to glyphosate (LD<sub>50</sub> versus GR<sub>50</sub>) than plants from a susceptible population (Riverlands). The Renwick population exhibited 91% survival at the recommended rate of glyphosate (compared to 13% survival for Riverlands). Frequent usage of glyphosate in vineyards has been selected for resistance in wild carrot. This is the first study to document glyphosate resistance in wild carrot globally.
DOI: 10.15468/dl.hucya6
title: Occurrence Download

description: A dataset containing 21 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Vachellia farnesiana",
 "Country is Greece",
 "HasCoordinate is true"
 ]
}

 The dataset includes 21 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0077033-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5mndq4
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Boana fasciata)",
 "Country is one of (Bermuda, Canada, Greenland, Saint Pierre and Miquelon, United States of America)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0077034-250717081556266/datasets/export for details.
DOI: 10.15468/dl.rmg6q9
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Boana fasciata)",
 "Country is one of (Afghanistan, Armenia, Azerbaijan, Bahrain, Bangladesh, Bhutan, Brunei Darussalam, Cambodia, China, Cyprus, Georgia, Hong Kong, India, Indonesia, Iran (Islamic Republic of), Iraq, Israel, Japan, Jordan, Kazakhstan, Korea (Democratic People’s Republic of), Korea, Republic of, Kuwait, Kyrgyzstan, Lao People’s Democratic Republic, Lebanon, Macao, Malaysia, Maldives, Mongolia, Myanmar, Nepal, Oman, Pakistan, Palestine, State of, Philippines, Qatar, Saudi Arabia, Singapore, Sri Lanka, Syrian Arab Republic, Tajikistan, Thailand, Timor-Leste, Türkiye, Turkmenistan, United Arab Emirates, Uzbekistan, Viet Nam, Yemen)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0077035-250717081556266/datasets/export for details.
DOI: 10.15468/dl.vcu2y7
title: Occurrence Download

description: A dataset containing 122 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Boana fasciata)",
 "Country is one of (Anguilla, Antigua and Barbuda, Argentina, Aruba, Bahamas, Barbados, Belize, Bolivia (Plurinational State of), Bonaire, Sint Eustatius and Saba, Bouvet Island, Brazil, Cayman Islands, Chile, Colombia, Costa Rica, Cuba, Curaçao, Dominica, Dominican Republic, Ecuador, El Salvador, Falkland Islands (Malvinas), French Guiana, Grenada, Guadeloupe, Guatemala, Guyana, Haiti, Honduras, Jamaica, Martinique, Mexico, Montserrat, Nicaragua, Panama, Paraguay, Peru, Puerto Rico, Saint Barthélemy, Saint Kitts and Nevis, Saint Lucia, Saint Martin (French part), Saint Vincent and the Grenadines, Sint Maarten (Dutch part), South Georgia and the South Sandwich Islands, Suriname, Trinidad and Tobago, Turks and Caicos Islands, Uruguay, Venezuela (Bolivarian Republic of), Virgin Islands (British), Virgin Islands (U.S.))"
 ]
}

 The dataset includes 122 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0077036-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16038066
title: RNA sequencing data from pancreatic cancer spheroids
DOI: 10.5281/zenodo.16038067
title: RNA sequencing data from pancreatic cancer spheroids
DOI: 10.15468/dl.u9seyh
title: Occurrence Download

description: A dataset containing 11441 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Aeronautes montivagus)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "License is one of (CC-BY 4.0, CC0 1.0)"
 ]
}

 The dataset includes 11441 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0077037-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gtardr
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Centrosema pubescens",
 "Country is Papua New Guinea",
 "HasCoordinate is true"
 ]
}

 The dataset includes 14 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0077039-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xfwdth
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Centrosema pubescens",
 "Country is Niue",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0077038-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.