cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.8krrzt
title: Occurrence Download

description: A dataset containing 140100 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Solidago canadensis L.",
 "Year 2000-2024"
 ]
}

 The dataset includes 140100 records from 617 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005191-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xjy4a3
title: Occurrence Download

description: A dataset containing 239935 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Occurrence evidence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Erigeron annuus (L.) Pers.",
 "Year 2000-2024"
 ]
}

 The dataset includes 239935 records from 1063 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005193-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/4cd6bc57wj.1
title: Supporting information of the article: Engineering to improve mechanical properties of nanocellulose hydrogels from aloe-vera bagasse and banana pseudostem for biomedical applications

description: The data show complementary information during the analysis, interperation of data and comparision with the literaure of the article engineering to improve mechanical properties of nanocellulose hydrogels from aloe-vera bagasse and banana pseudostem for biomedical applications by Rocío Hernández-Leal, Ángeles Iveth Licona Aguilar, Miguel Antonio Domínguez-Crespo, Esther Ramírez-Meneses, Adela Eugenia Rodríguez-Salazar , C. Juárez-Balderas, Silvia Beatriz Brachetti-Sibaja*, Aidé Minerva Torres Huerta**
DOI: 10.17632/4cd6bc57wj.2
title: Supporting information of the article: Engineering to improve mechanical properties of nanocellulose hydrogels from aloe-vera bagasse and banana pseudostem for biomedical applications

description: The data show complementary information during the analysis, interperation of data and comparision with the literaure of the article engineering to improve mechanical properties of nanocellulose hydrogels from aloe-vera bagasse and banana pseudostem for biomedical applications by Rocío Hernández-Leal, Ángeles Iveth Licona Aguilar, Miguel Antonio Domínguez-Crespo, Esther Ramírez-Meneses, Adela Eugenia Rodríguez-Salazar , C. Juárez-Balderas, Silvia Beatriz Brachetti-Sibaja*, Aidé Minerva Torres Huerta**
DOI: 10.15468/dl.tx3us4
title: Occurrence Download

description: A dataset containing 268 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Platymiscium stipulare)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 268 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011323-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d57pbc
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cyphocharax derhami",
 "DecimalLatitude is not null",
 "DecimalLongitude is not null"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007110-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vhcfpm
title: Occurrence Download

description: A dataset containing 13618 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Houttuynia cordata",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 }
 ]
}

 The dataset includes 13618 records from 221 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007111-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/ochipb
title: Replication Data for: Breaking Barriers: Analyzing Women Prosecutors' Electoral Success

description: This file provides the data, code, and codebook to replicate the analyses in "Breaking Barriers: Analyzing Women Prosecutors' Electoral Success", which has been accepted for publication in Political Behavior
DOI: 10.5281/zenodo.18603644
title: onustus_longleyi_spades_01.fasta.gz
DOI: 10.5281/zenodo.18603645
title: onustus_longleyi_spades_01.fasta.gz
DOI: 10.15468/dl.ww2hb6
title: Occurrence Download

description: A dataset containing 5520 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Costa Rica",
 "DatasetKey is one of (iNaturalist Research-grade Observations, Monitoreos en los Campos Geotérmicos-ICE, Registros de Averías de Fauna Silvestre en líneas de Distribución Eléctrica)",
 "TaxonKey is Alouatta palliata",
 "Year 2017-2026"
 ]
}

 The dataset includes 5520 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007112-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nh85s6
title: Occurrence Download

description: A dataset containing 97 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "GadmGid is SDN",
 "TaxonKey is Lepidoptera"
 ]
}

 The dataset includes 97 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007113-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zngfa4
title: Occurrence Download

description: A dataset containing 74751 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is New Zealand",
 "SpeciesKey is one of (Erica cinerea, Erigeron karvinskianus, Gazania rigens, Hedychium gardnerianum, Lathyrus tingitanus, Leymus racemosus, Lycopus europaeus, Pinus muricata, Rhamnus alaternus, Salpichroa origanifolia, Senecio angulatus, Albizia julibrissin, Lophospermum erubescens, Erythrina sykesii, Hakea gibbosa, Cenchrus clandestinus, Erica baccans, Reynoutria sachalinensis, Erica arborea, Rumex sagittatus, Senecio elegans, Solanum carolinense, Solanum pseudocapsicum, Aristea ecklonii, Calicotome spinosa, Pultenaea daphnoides, Reynoutria japonica, Gladiolus undulatus, Glyceria declinata, Callistachys lanceolata, Carthamus lanatus, Nardus stricta, Spartium junceum, Nassella neesiana, Crocosmia crocosmiiflora, Clematis vitalba, Nassella trichotoma, Artemisia verlotiorum, Lonicera japonica, Thymus vulgaris, Ageratina adenophora, Cortaderia selloana, Pinus halepensis, Pinus nigra, Pinus ponderosa, Pseudotsuga menziesii, Salix cinerea, Solanum dulcamara, Juncus acutus, Prunus domestica, Rubus phoenicolasius, Sorghum halepense, Selaginella kraussiana, Equisetum arvense, Chamaecytisus prolifer, Larix decidua, Pinus sylvestris, Acacia melanoxylon, Carex divulsa, Berberis glaucocarpa, Cornus capitata, Panicum miliaceum, Tradescantia fluminensis, Senecio skirrhodon, Ageratina riparia, Alnus glutinosa, Lantana camara, Acacia paradoxa, Erica lusitanica, Juncus squarrosus, Calluna vulgaris, Impatiens glandulifera, Cestrum parqui, Carex demissa, Hakea salicifolia, Galega officinalis, Asparagus asparagoides, Calystegia silvatica, Cupressus macrocarpa, Fraxinus excelsior, Pinus radiata, Populus alba, Ribes sanguineum, Sedum acre, Sorbus aucuparia, Carex longebrachiata, Ilex aquifolium, Bidens frondosa, Acacia mearnsii, Allium triquetrum, Carduus nutans, Crataegus monogyna, Cytisus multiflorus, Hedychium flavescens, Imperata cylindrica)",
 "Year 2010-2026"
 ]
}

 The dataset includes 74751 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007082-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vt5zgr
title: Occurrence Download

description: A dataset containing 3410 records in GBIF matching the query:

 SELECT gbifid, datasetkey, specieskey, kingdom, phylum, class, "order", family, genus, species, scientificname, decimallatitude, decimallongitude, eventdate, institutioncode, "year" AS obs_year, basisofrecord, coordinateuncertaintyinmeters, issue
 FROM occurrence
 WHERE
 decimallatitude IS NOT NULL
 AND decimallongitude IS NOT NULL
 AND NOT ARRAY_CONTAINS(issue, 'ZERO_COORDINATE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_OUT_OF_RANGE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_INVALID')
 AND NOT ARRAY_CONTAINS(issue, 'COUNTRY_COORDINATE_MISMATCH')
 AND "year" &gt;= 2015
 AND "year" &lt;= 2026
 AND coordinateuncertaintyinmeters IS NOT NULL
 AND coordinateuncertaintyinmeters &gt; 0
 AND coordinateuncertaintyinmeters &lt;= 200.0
 AND decimallatitude &gt;= 72.77152049497572
 AND decimallatitude &lt;= 79.58564306880243
 AND decimallongitude &gt;= -134.17318446633652
 AND decimallongitude &lt;= -86.39962160260116
 AND GBIF_Within('POLYGON ((-86.399622 72.771520, -86.399622 79.585643, -134.173184 79.585643, -134.173184 72.771520, -86.399622 72.771520))', decimallatitude, decimallongitude) = TRUE
 

 The dataset's 3410 records were derived from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007099-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dqcmth
title: Occurrence Download

description: A dataset containing 4597 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Atriplex leptocarpa"
 ]
}

 The dataset includes 4597 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007114-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bm68gf
title: Occurrence Download

description: A dataset containing 13953 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Eragrostis pilosa",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Country is one of (Afghanistan, Albania, Algeria, Angola, Austria, Bangladesh, Belarus, Benin, Botswana, Bulgaria, Burkina Faso, Burundi, Cambodia, Cameroon, South Africa, Central African Republic, Chad, China, Russian Federation, Congo, Democratic Republic of the, Czechia, Slovakia, India, Egypt, Equatorial Guinea, Eritrea, Eswatini, Ethiopia, France, Gambia, Germany, Ghana, Greece, Guinea-Bissau, Hungary, Mongolia, Iran (Islamic Republic of), Iraq, Italy, Japan, Kazakhstan, Kenya, Korea (Democratic People’s Republic of), Lao People’s Democratic Republic, Lebanon, Liberia, Libya, Madagascar, Malawi, Mali, Mauritania, Mauritius, Morocco, Mozambique, Myanmar, Namibia, Nepal, Papua New Guinea, Niger, Nigeria, Oman, Pakistan, Palestine, State of, Philippines, Portugal, Romania, Réunion, Saudi Arabia, Senegal, Seychelles, Sierra Leone, Spain, Sri Lanka, South Sudan, Sudan, Switzerland, Chinese Taipei, Tanzania, United Republic of, Togo, Turkmenistan, Türkiye, Uganda, Ukraine, Uzbekistan, Viet Nam, Yemen, Zambia, Zimbabwe)"
 ]
}

 The dataset includes 13953 records from 425 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007116-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26186/150890
title: Port Phillip Bay Drift Algae Bathymetry 2018 (4897/20180001S)

description: The Port Phillip Bay Drift Algae bathymetry survey was acquired by Deakin University Marine Mapping lab onboard the Motor Vessel Yolla over three days in 2018 (18/01/2018-21/01/2018) using a Kongsberg EM2040c. This survey was collected as part of a collaborative program with the University of Melbourne to map out the locations of drift algae within Port Phillip Bay.

Not to be used for navigational purposes
DOI: 10.26186/150868
title: Forster Pacific Palms Cape Hawke, NSW Backscatter 2019 (20190159S)

description: The Forster Pacific Palms Cape Hawke, NSW, multibeam survey was acquired by the NSW government (Department of Planning and Environment – DPE) onboard the Research Vessel Bombora during the period 01/MAR/2019 – 12/AUG/2022, using DPE’s R2Sonic 2022 multibeam sonar. The survey was completed as part of the SeabedNSW program funded by NSW government through Coastal Reforms (&gt;2015), HabMap Program funded through Marine Parks Authority (now under Marine Estate Management Authority) or through collaborations with partner agencies or institutions. The purpose of the project was to 1) provide a baseline dataset and 2) map the spatial distribution of seabed types. This dataset contains 32-bit floating point geotiff files of bathymetry and backscatter in 5m resolution for the study area, derived from the processed Hypack, R2Sonic GUI, POSView, POSPac, Qimera and FMGT software. General details on vessel setup, mobilisation and processing are provided at https://www.environment.nsw.gov.au/-/media/OEH/Corporate-Site/Documents/Research/Our-science-and-research/seabed-nsw-standard-operating-procedures-multibeam-surveying-190101.pdf with survey specific details in the Survey Report and DPIE Rigor Statement.

Not to be used for navigational purposes
DOI: 10.26186/150869
title: Crowdy Head Offshore, NSW Bathymetry 2021 (20210105S)

description: The Crowdy Head Offshore, NSW, multibeam survey was acquired by the NSW government (Department of Planning and Environment – DPE) onboard the Research Vessel Bombora during the period 20/APR/2021 - 30/APR/2021, using DPE’s R2Sonic 2022 multibeam sonar. The survey was completed as part of the SeabedNSW program funded by NSW government through Coastal Reforms (&gt;2015), HabMap Program funded through Marine Parks Authority (now under Marine Estate Management Authority) or through collaborations with partner agencies or institutions. The purpose of the project was to 1) provide a baseline dataset and 2) map the spatial distribution of seabed types. This dataset contains 32-bit floating point geotiff files of bathymetry and backscatter in 5m resolution for the study area, derived from the processed Hypack, R2Sonic GUI, POSView, POSPac, Qimera and FMGT software. General details on vessel setup, mobilisation and processing are provided at https://www.environment.nsw.gov.au/-/media/OEH/Corporate-Site/Documents/Research/Our-science-and-research/seabed-nsw-standard-operating-procedures-multibeam-surveying-190101.pdf with survey specific details in the Survey Report and DPIE Rigor Statement (can be provided upon request).

Not to be used for navigational purposes
DOI: 10.15468/dl.r8sq63
title: Occurrence Download

description: A dataset containing 3748190 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "Country is one of (Brunei Darussalam, Cambodia, Indonesia, Lao People’s Democratic Republic, Malaysia, Myanmar, Philippines, Singapore, Thailand, Viet Nam, Timor-Leste)",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 },
 "Country is one of (Philippines)"
 ]
}

 The dataset includes 3748190 records from 2254 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007074-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0171609.10fu
title: SH0171609.10FU

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/sh0171610.10fu
title: SH0171610.10FU

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/sh0171611.10fu
title: SH0171611.10FU

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/sh0171612.10fu
title: SH0171612.10FU

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/sh0171613.10fu
title: SH0171613.10FU

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/sh0171614.10fu
title: SH0171614.10FU

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/sh0171615.10fu
title: SH0171615.10FU

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.