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

description: A dataset containing 53432 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Passiflora L.",
 {
 "or" : [
 "Country is Uruguay",
 "Country is Chile",
 "Country is Paraguay",
 "Country is Colombia",
 "Country is Bolivia (Plurinational State of)",
 "Country is Venezuela (Bolivarian Republic of)",
 "Country is Brazil",
 "Country is Argentina",
 "Country is Guyana",
 "Country is Peru",
 "Country is Ecuador",
 "Country is French Guiana",
 "Country is Suriname"
 ]
 }
 ]
}

 The dataset includes 53432 records from 211 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006448-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ymsxkw
title: Occurrence Download

description: A dataset containing 22 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Saussurea topkegolensis H.Ohba & S.Akiyama"
 ]
}

 The dataset includes 22 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027272-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zyn8zb
title: Occurrence Download

description: A dataset containing 199 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pogogyne floribunda Jokerst"
 ]
}

 The dataset includes 199 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027273-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pkd5um
title: Occurrence Download

description: A dataset containing 262 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Onychoteuthidae",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 262 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027274-241107131044228/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.27886830
title: Raw data.xlsx

description: Self-assembled configurations are versatile for applications in which liquid-mediated phenomena are employed to ensure that static or mild physical interactions between assembling blocks take advantage of local energy minima. For granular materials, however, a particle’s momentum in air leads to random collisions and the formation of disordered phases, eventually producing jammed configurations when densely packed. Therefore, unlike fluidic self-assembly, the self-assembly of dry particles typically lacks programmability based on density and ordering symmetry and has thus been limited in applications. Here, we present the self-assembly of particles with momentum, yielding regular arrays with programmable density and symmetry. The key is to embed anti-repellent structures, i.e., traps, that can capture kinetic particles individually and then robustly hold them against collisions with other momentum granules during a dynamic assembly procedure. By using anti-repellent traps, physical interactions between neighbouring particles can be inhibited, resolving many phenomena related to the uncertainty of space-sharing events in granular packing. With our self-assembly strategy, highly dense yet unjammed configurations are demonstrated, which conserve the inherent randomness in the location information of each granule in the trap and are useful for robust multilevel authentication systems as unique applications.
DOI: 10.6084/m9.figshare.27886830.v1
title: Raw data.xlsx

description: Self-assembled configurations are versatile for applications in which liquid-mediated phenomena are employed to ensure that static or mild physical interactions between assembling blocks take advantage of local energy minima. For granular materials, however, a particle’s momentum in air leads to random collisions and the formation of disordered phases, eventually producing jammed configurations when densely packed. Therefore, unlike fluidic self-assembly, the self-assembly of dry particles typically lacks programmability based on density and ordering symmetry and has thus been limited in applications. Here, we present the self-assembly of particles with momentum, yielding regular arrays with programmable density and symmetry. The key is to embed anti-repellent structures, i.e., traps, that can capture kinetic particles individually and then robustly hold them against collisions with other momentum granules during a dynamic assembly procedure. By using anti-repellent traps, physical interactions between neighbouring particles can be inhibited, resolving many phenomena related to the uncertainty of space-sharing events in granular packing. With our self-assembly strategy, highly dense yet unjammed configurations are demonstrated, which conserve the inherent randomness in the location information of each granule in the trap and are useful for robust multilevel authentication systems as unique applications.
DOI: 10.15468/dl.8v3rem
title: Occurrence Download

description: A dataset containing 289 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pogogyne nudiuscula A.Gray"
 ]
}

 The dataset includes 289 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027275-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x73ab5
title: Occurrence Download

description: A dataset containing 574 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Gonatidae",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 574 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027276-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zhtff6
title: Occurrence Download

description: A dataset containing 845 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pogogyne serpylloides (Torr.) A.Gray"
 ]
}

 The dataset includes 845 records from 53 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027280-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.26a95w
title: Occurrence Download

description: A dataset containing 230 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Saussurea tridactyla Sch.Bip. ex Hook.fil., Saussurea tridactyla var. tridactyla, Saussurea tridactyla var. maiduoganla S.W.Liu, Saussurea tridactyla subsp. maiduoganla (S.W.Liu) Y.S.Chen)"
 ]
}

 The dataset includes 230 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027281-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q8rdbh
title: Occurrence Download

description: A dataset containing 1562 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Alpheidae",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1562 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027282-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n279q7
title: Occurrence Download

description: A dataset containing 769 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pogogyne zizyphoroides Benth."
 ]
}

 The dataset includes 769 records from 62 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027285-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mk4umk
title: Occurrence Download

description: A dataset containing 75 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Saussurea wellbyi Hemsl., Saussurea hyperiophora Hand.-Mazz.)"
 ]
}

 The dataset includes 75 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027287-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8va89u
title: Occurrence Download

description: A dataset containing 52 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "Geometry POLYGON((-130.57236 24.47727,-95.42764 24.47727,-95.42764 38.52273,-130.57236 38.52273,-130.57236 24.47727))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "PublishingOrg is 28eb1a3f-1c15-4a95-931a-4af90ecb574d",
 "TaxonKey is Phrynosoma goodei Stejneger, 1893"
 ]
}

 The dataset includes 52 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027288-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z7vm2c
title: Occurrence Download

description: A dataset containing 1130 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Peru",
 "TaxonKey is Steatornis caripensis von Humboldt, 1817"
 ]
}

 The dataset includes 1130 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027289-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zbs9z8
title: Occurrence Download

description: A dataset containing 363 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Utricularia floridana Nash"
 ]
}

 The dataset includes 363 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027291-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14879564
title: ETHNOVETERINARY PLANTS OF DISTRICT MAHOBA, U.P.

description: An ethnobotanical survey was carried out during 1998 to 2002 in Mahoba district of south-western Uttar Pradesh. In this paper, 14 plant species used in folk veterinary medicines are enumerated with exact method of drug preparation, dose & modes of application.
DOI: 10.5281/zenodo.14879565
title: ETHNOVETERINARY PLANTS OF DISTRICT MAHOBA, U.P.

description: An ethnobotanical survey was carried out during 1998 to 2002 in Mahoba district of south-western Uttar Pradesh. In this paper, 14 plant species used in folk veterinary medicines are enumerated with exact method of drug preparation, dose & modes of application.
DOI: 10.57967/hf/4517
title: wikipedia-pt-embeddings
DOI: 10.15468/dl.5ppdbf
title: Occurrence Download

description: A dataset listing the 332 species recorded in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Colombia",
 {
 "and" : [
 "Country is Colombia",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 }
 ]
 },
 {
 "and" : [
 "TaxonKey is one of (Aves, Animalia, Chordata)",
 "StateProvince is one of (cundinamarca)",
 {
 "or" : [
 "Elevation is 2000m",
 "Elevation is 3000m"
 ]
 }
 ]
 }
 ]
}

 The dataset's 332 records were derived from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002067-250214102907787/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.28425950
title: Dataset: Fixed traits and flexible habits: Balancing personality, chronotype, and lifestyle in whole-person education

description: This dataset was collected as part of a cross-sectional study examining factors influencing student success at a private Christian university in the South-Central U.S. The dataset includes responses from <b>963 first-year students (ages 18-25)</b> who met inclusion criteria, providing comprehensive data on academic performance, personality traits, lifestyle habits, physical health, and socioeconomic status.<b>Data Components:</b><b>Academic Performance:</b> GPA (university records)<b>Self-Reported Surveys:</b> Personality traits, lifestyle habits, stress levels<b>Physical Health Indicators:</b> BMI, resting heart rate, daily step counts<b>Socioeconomic Status:</b> Estimated via Expected Family Contribution (EFC)This dataset offers valuable insights into the relationships between academic achievement, well-being, and socioeconomic factors in higher education.
DOI: 10.5281/zenodo.14879678
title: Data associated with: "How does nitrogen control soil organic matter turnover and composition? – Theory and model"

description: Data and code associated with: "How does nitrogen control soil organic matter turnover and composition? – Theory and model"
DOI: 10.6084/m9.figshare.28425953
title: Qualitative data of breastfeeding mother interview

description: Qualitative data from breastfeeding mother interview activities using atlas.ti software
DOI: 10.6084/m9.figshare.28425953.v1
title: Qualitative data of breastfeeding mother interview

description: Qualitative data from breastfeeding mother interview activities using atlas.ti software
DOI: 10.15468/dl.h2gzzw
title: Occurrence Download

description: A dataset containing 1405 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ameletopsidae"
 ]
}

 The dataset includes 1405 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002069-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f2esej
title: Occurrence Download

description: A dataset containing 34740 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-15 40,40 40,40 70,-15 70,-15 40))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Lycaena dispar (Haworth, 1803)",
 "Year 1950-2024"
 ]
}

 The dataset includes 34740 records from 679 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002070-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0200760.10fu
title: SH0200760.10FU

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/sh0200761.10fu
title: SH0200761.10FU

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/sh0200762.10fu
title: SH0200762.10FU

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/sh0200763.10fu
title: SH0200763.10FU

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/sh0200764.10fu
title: SH0200764.10FU

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/sh0200765.10fu
title: SH0200765.10FU

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/sh0200766.10fu
title: SH0200766.10FU

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/sh0200767.10fu
title: SH0200767.10FU

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.