cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.2prh7v
title: Occurrence Download

description: A dataset containing 4660 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Morinda citrifolia L."
 ]
}

 The dataset includes 4660 records from 158 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003018-180925134338326/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fjscwk
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009808-160118175350007/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.i5anqq
title: Occurrence Download

description: A dataset containing 6618 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Persea americana Mill."
 ]
}

 The dataset includes 6618 records from 333 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003029-180925134338326/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d7hnp3
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Apterygiformes)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((-50 70,-40 70,-40 80,-50 80,-50 70))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019123-251009101135966/datasets/export for details.
DOI: 10.15468/dl.6x6efz
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Monoplacophora)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((140 -40,150 -40,150 -30,140 -30,140 -40))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019121-251009101135966/datasets/export for details.
DOI: 10.15468/dl.q6v6au
title: Occurrence Download

description: A dataset containing 5084 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is Brazil",
 "DatasetKey is Mollusca Collection - Museu Nacional/UFRJ",
 "OccurrenceStatus is Present",
 "TaxonKey is Bivalvia"
 ]
}

 The dataset includes 5084 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019125-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w3ggg2
title: Occurrence Download

description: A dataset containing 16096 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Netherlands",
 "Geometry POLYGON((5.38497 51.74359,7.12169 51.74359,7.12169 52.53583,5.38497 52.53583,5.38497 51.74359))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Rodentia",
 "Year 2024-2025"
 ]
}

 The dataset includes 16096 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024563-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wdnjsc
title: Occurrence Download

description: A dataset containing 40 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Nyctibatrachus jog"
 ]
}

 The dataset includes 40 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024564-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cs2x8n
title: Occurrence Download

description: A dataset containing 85812 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ricinus communis L."
 ]
}

 The dataset includes 85812 records from 1001 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003832-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13140/rg.2.2.23302.57923
title: An Origami inspired coupler mechanism - preloaded in gravity Interactive Kinetic Mirrored Sculpture Einheit in der Vielfalt - Vielfalt in der Einheit at Lentos Art Museum Linz, May 2016
DOI: 10.13140/rg.2.2.19842.27841
title: MPE: Measuring Generalized Spatial Distortion of Multispectral Panshapening Fusion
DOI: 10.13140/rg.2.2.12672.64008
title: INTERNATIONAL ACTION PLAN FOR THE SOCIABLE LAPWING Chettusia gregaria}
DOI: 10.13140/rg.2.2.17705.80486
title: Pectobacterium carotovorum subsp. brasiliense strain 212 16S ribosomal RNA gene, complete sequence
DOI: 10.25824/redu/qlsmmg
title: Dados sobre a caracterização sensorial e aceitação das bebidas de cafés canéforas brasileiros provenientes dos estados do Espírito Santo e Rondônia

description: Os dados são referentes à caracterização sensorial e aceitação de amostras de cafés canéforas brasileiros provenientes dos estados do Espírito Santo e Rondônia, os quais foram submetidos a diferentes processamentos pós-colheita. O perfil sensorial foi obtido através de métodos descritivos estático e dinâmico, e a aceitabilidade das amostras foi avaliada através de um teste de aceitação utilizando uma escala hedônica de nove pontos. Os resultados foram obtidos por consumidores regulares de café. No momento, os dados não podem ser disponibilizados por questões de proteção intelectual. Para mais informações, contatar os responsáveis.
DOI: 10.13140/rg.2.2.15765.93929
title: Afromoths_ 18 September 2016 www.afromoths.net
DOI: 10.34740/kaggle/dsv/13397434
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.13140/rg.2.2.24995.86562
title: Multi core (multi thread) project for simulating Talbot carpets from aperture limited grating
DOI: 10.15468/dl.3mu1th
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013421-160311141623029/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4nwsww
title: Occurrence Download

description: A dataset containing 313 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Amentotaxus argotaenia (Hance) Pilg."
 ]
}

 The dataset includes 313 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0275468-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g2vtoa
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013369-160311141623029/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.veraf4
title: Occurrence Download

description: A dataset containing 705008469 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is EOD – eBird Observation Dataset"
 ]
}

 The dataset includes 705008469 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0247546-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5l0ebe
title: Occurrence Download

description: A dataset containing 1566719685 species occurrences available in GBIF matching the query:
{ }

 The dataset includes 1566719685 records from 18051 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005019-171025204727650/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.29767772
title: Lithology mapping data of the Beishan area in China

description: The acquisition of spatiotemporal information for lithological mapping with timeliness, accuracy, and high precision is crucial for mineral resource exploration and geological hazard prevention. However, large-scale lithological mapping remains severely constrained by the limitations of visual interpretation in obtaining representative samples from remote sensing data and error propagation during sample collection based on existing geological maps. To address this, we propose a three-dimensional spatial dual-positioning sample generation methodology (SG-3DSD) using Sentinel-2 (S2) and Landsat 8 (L8) data on the Google Earth Engine (GEE) platform, enabling automated generation of 11 lithological class samples across 6,000 km². First, boundary association rules were established to reconstruct 1:200,000-scale geological maps, mitigating data acquisition biases and cartographic compilation errors. Second, principal component analysis (PCA) was performed on seven S2 spectral bands, with the first three principal components (capturing &gt;98% information variance) constituting a 3D feature space for localized clustering. Concurrently, four L8 bands were selected through lithological spectral curve analysis to implement band ratio (BR) transformations for secondary positioning. Finally, a two-step refinement strategy was implemented to filter high-confidence samples across 11 lithological classes, balancing intraclass feature consistency and sample purity. Applying SG-3DSD-derived samples to multiple machine learning models revealed that (1) The Stacking ensemble model demonstrated superior lithological discrimination capability compared to conventional algorithms, achieving peak accuracy of 94.15% and mean F1-score of 93.87%; (2) Integrating topographic data (especially Elevation) enhanced lithological positioning accuracy by 4.43±1.13%; (3) PCA and BR transformations effectively enhanced lithological separability, particularly at lithological boundary zones; (4) While SG-3DSD enables efficient large-scale sample generation, it is advisable to avoid using excessively large training samples for regional-scale mapping. This methodology mitigates the weighting dependence on geological maps during sample selection and dilutes inherent cartographic error propagation, providing a novel paradigm for large-scale lithological mapping with broad application potential.
DOI: 10.15468/dl.cu322w
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 (Cisticola natalensis)",
 "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/0086174-250717081556266/datasets/export for details.
DOI: 10.6084/m9.figshare.29767772.v2
title: Lithology mapping data of the Beishan area in China

description: The acquisition of spatiotemporal information for lithological mapping with timeliness, accuracy, and high precision is crucial for mineral resource exploration and geological hazard prevention. However, large-scale lithological mapping remains severely constrained by the limitations of visual interpretation in obtaining representative samples from remote sensing data and error propagation during sample collection based on existing geological maps. To address this, we propose a three-dimensional spatial dual-positioning sample generation methodology (SG-3DSD) using Sentinel-2 (S2) and Landsat 8 (L8) data on the Google Earth Engine (GEE) platform, enabling automated generation of 11 lithological class samples across 6,000 km². First, boundary association rules were established to reconstruct 1:200,000-scale geological maps, mitigating data acquisition biases and cartographic compilation errors. Second, principal component analysis (PCA) was performed on seven S2 spectral bands, with the first three principal components (capturing &gt;98% information variance) constituting a 3D feature space for localized clustering. Concurrently, four L8 bands were selected through lithological spectral curve analysis to implement band ratio (BR) transformations for secondary positioning. Finally, a two-step refinement strategy was implemented to filter high-confidence samples across 11 lithological classes, balancing intraclass feature consistency and sample purity. Applying SG-3DSD-derived samples to multiple machine learning models revealed that (1) The Stacking ensemble model demonstrated superior lithological discrimination capability compared to conventional algorithms, achieving peak accuracy of 94.15% and mean F1-score of 93.87%; (2) Integrating topographic data (especially Elevation) enhanced lithological positioning accuracy by 4.43±1.13%; (3) PCA and BR transformations effectively enhanced lithological separability, particularly at lithological boundary zones; (4) While SG-3DSD enables efficient large-scale sample generation, it is advisable to avoid using excessively large training samples for regional-scale mapping. This methodology mitigates the weighting dependence on geological maps during sample selection and dilutes inherent cartographic error propagation, providing a novel paradigm for large-scale lithological mapping with broad application potential.
DOI: 10.6084/m9.figshare.29767772.v3
title: Lithology mapping data of the Beishan area in China

description: The acquisition of spatiotemporal information for lithological mapping with timeliness, accuracy, and high precision is crucial for mineral resource exploration and geological hazard prevention. However, large-scale lithological mapping remains severely constrained by the limitations of visual interpretation in obtaining representative samples from remote sensing data and error propagation during sample collection based on existing geological maps. To address this, we propose a three-dimensional spatial dual-positioning sample generation methodology (SG-3DSD) using Sentinel-2 (S2) and Landsat 8 (L8) data on the Google Earth Engine (GEE) platform, enabling automated generation of 11 lithological class samples across 6,000 km². First, boundary association rules were established to reconstruct 1:200,000-scale geological maps, mitigating data acquisition biases and cartographic compilation errors. Second, principal component analysis (PCA) was performed on seven S2 spectral bands, with the first three principal components (capturing &gt;98% information variance) constituting a 3D feature space for localized clustering. Concurrently, four L8 bands were selected through lithological spectral curve analysis to implement band ratio (BR) transformations for secondary positioning. Finally, a two-step refinement strategy was implemented to filter high-confidence samples across 11 lithological classes, balancing intraclass feature consistency and sample purity. Applying SG-3DSD-derived samples to multiple machine learning models revealed that (1) The Stacking ensemble model demonstrated superior lithological discrimination capability compared to conventional algorithms, achieving peak accuracy of 94.15% and mean F1-score of 93.87%; (2) Integrating topographic data (especially Elevation) enhanced lithological positioning accuracy by 4.43±1.13%; (3) PCA and BR transformations effectively enhanced lithological separability, particularly at lithological boundary zones; (4) While SG-3DSD enables efficient large-scale sample generation, it is advisable to avoid using excessively large training samples for regional-scale mapping. This methodology mitigates the weighting dependence on geological maps during sample selection and dilutes inherent cartographic error propagation, providing a novel paradigm for large-scale lithological mapping with broad application potential.
DOI: 10.15468/dl.nq27yw
title: Occurrence Download

description: A dataset containing 1168 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Centropus unirufus)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "License is one of (CC-BY 4.0, CC0 1.0)"
 ]
}

 The dataset includes 1168 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0086178-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8f5y5d
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 (Cisticola natalensis)",
 "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 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0086175-250717081556266/datasets/export for details.
DOI: 10.15468/dl.jq5w24
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 (Cisticola natalensis)",
 "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/0086176-250717081556266/datasets/export for details.
DOI: 10.15468/dl.cx7zpn
title: Occurrence Download

description: A dataset containing 116 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sonchus oleraceus",
 "Country is India",
 "HasCoordinate is true"
 ]
}

 The dataset includes 116 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078414-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/cc46zgr
title: CCDC 125874: Experimental Crystal Structure Determination

description: Related Article: Z.Assefa, R.J.Staples, J.P.Fackler Junior|1995|Acta Crystallogr.,Sect.C:Cryst.Struct.Commun.|51|2271|doi:10.1107/S0108270195004628
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cc471t6
title: CCDC 125947: Experimental Crystal Structure Determination

description: Related Article: G.Valle, R.Ettorre, V.Peruzzo|1995|Acta Crystallogr.,Sect.C:Cryst.Struct.Commun.|51|2273|doi:10.1107/S0108270195006937
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cc46zbm
title: CCDC 125870: Experimental Crystal Structure Determination

description: Related Article: Tian-Huey Lu, Yuh-Liang Liu, Chung-Sun Chung|1995|Acta Crystallogr.,Sect.C:Cryst.Struct.Commun.|51|2275|doi:10.1107/S0108270195006226
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cc470kx
title: CCDC 125908: Experimental Crystal Structure Determination

description: Related Article: M.Parvez, M.Rusiewicz|1995|Acta Crystallogr.,Sect.C:Cryst.Struct.Commun.|51|2277|doi:10.1107/S0108270195006548
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cc46zfq
title: CCDC 125873: Experimental Crystal Structure Determination

description: Related Article: O.Yar, L.Lessinger|1995|Acta Crystallogr.,Sect.C:Cryst.Struct.Commun.|51|2282|doi:10.1107/S0108270195006974
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.