cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.4y8qgb
title: Occurrence Download

description: A dataset containing 12932 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-107.81168 23.78335,-108.26448 15.06699,-93.88814 13.40673,-92.83161 24.27388,-107.81168 23.78335))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Centruroides Marx, 1890"
 ]
}

 The dataset includes 12932 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015658-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a2tc65
title: Occurrence Download

description: A dataset containing 196 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Parinari occidentalis Prance)"
 ]
}

 The dataset includes 196 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015659-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fjtnk7
title: Occurrence Download

description: A dataset containing 65 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "TaxonKey is Oecomys superans Thomas, 1911"
 ]
}

 The dataset includes 65 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015660-240626123714530/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.26198384
title: R_Code.zip

description: The debate about the relative importance of interspecific competition and environmental factors in annual population fluctuations has persisted in ecology for many decades. Ecologists face the challenge of determining the extent to which interspecific competition and environmental factors impact population growth rates. We assess the predictive ability of models with and without interspecific competition and environmental covariates to predict population size one year beyond the model-building data. We have developed models to predict population fluctuations and used predictive performance on more than 16,000 populations from 14 datasets to compare the understanding captured by those models.
DOI: 10.6084/m9.figshare.26198384.v1
title: R_Code.zip

description: The debate about the relative importance of interspecific competition and environmental factors in annual population fluctuations has persisted in ecology for many decades. Ecologists face the challenge of determining the extent to which interspecific competition and environmental factors impact population growth rates. We assess the predictive ability of models with and without interspecific competition and environmental covariates to predict population size one year beyond the model-building data. We have developed models to predict population fluctuations and used predictive performance on more than 16,000 populations from 14 datasets to compare the understanding captured by those models.
DOI: 10.15468/dl.wpfg3r
title: Occurrence Download

description: A dataset containing 74 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Eremanthus rondoniensis Mac Leish & H.Schumach.)"
 ]
}

 The dataset includes 74 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015661-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tbh3eg
title: Occurrence Download

description: A dataset containing 1110 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Atlas Mycologique des Hauts-de-France - Données diverses-Données mycologiques diverses ABMARS (Senlis) 2021"
 ]
}

 The dataset includes 1110 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015662-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.283ffk
title: Occurrence Download

description: A dataset containing 400 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Eremanthus mattogrossensis Kuntze)"
 ]
}

 The dataset includes 400 records from 60 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015663-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10442443
title: A Comprehensive Survey of Scoring Functions for Protein Docking Models

description: The protein-protein docking problem is fundamental to our understanding of how proteins interact. It is also important because of its relevance to drug discovery and vaccine design. Docking methods typically involve two steps. The first step generates many possible candidate conformations, while the second step evaluates the candidates using some scoring function. Despite numerous experiments with many innovative scoring functions, a good scoring function for docking remains elusive. Deep learning models offer alternatives to using explicit empirical or mathematical functions for scoring protein-protein complexes. In this study, we perform a comprehensive survey of the state-of-the-art scoring functions by considering the most popular and highly performant approaches for scoring protein-protein complexes, evaluating their strengths and weaknesses to aid researchers in understanding progress made in this field. Our survey compares the state-of-the-art in classical and deep learning-based scoring methods
DOI: 10.5281/zenodo.10442444
title: A Comprehensive Survey of Scoring Functions for Protein Docking Models

description: The protein-protein docking problem is fundamental to our understanding of how proteins interact. It is also important because of its relevance to drug discovery and vaccine design. Docking methods typically involve two steps. The first step generates many possible candidate conformations, while the second step evaluates the candidates using some scoring function. Despite numerous experiments with many innovative scoring functions, a good scoring function for docking remains elusive. Deep learning models offer alternatives to using explicit empirical or mathematical functions for scoring protein-protein complexes. In this study, we perform a comprehensive survey of the state-of-the-art scoring functions by considering the most popular and highly performant approaches for scoring protein-protein complexes, evaluating their strengths and weaknesses to aid researchers in understanding progress made in this field. Our survey compares the state-of-the-art in classical and deep learning-based scoring methods
DOI: 10.5281/zenodo.10800949
title: A Comprehensive Survey of Scoring Functions for Protein Docking Models

description: The protein-protein docking problem is fundamental to our understanding of how proteins interact. It is also important because of its relevance to drug discovery and vaccine design. Docking methods typically involve two steps. The first step generates many possible candidate conformations, while the second step evaluates the candidates using some scoring function. Despite numerous experiments with many innovative scoring functions, a good scoring function for docking remains elusive. Deep learning models offer alternatives to using explicit empirical or mathematical functions for scoring protein-protein complexes. In this study, we perform a comprehensive survey of the state-of-the-art scoring functions by considering the most popular and highly performant approaches for scoring protein-protein complexes, evaluating their strengths and weaknesses to aid researchers in understanding progress made in this field. Our survey compares the state-of-the-art in classical and deep learning-based scoring methods
DOI: 10.5281/zenodo.12681335
title: A Comprehensive Survey of Scoring Functions for Protein Docking Models

description: The protein-protein docking problem is fundamental to our understanding of how proteins interact. It is also important because of its relevance to drug discovery and vaccine design. Docking methods typically involve two steps. The first step generates many possible candidate conformations, while the second step evaluates the candidates using some scoring function. Despite numerous experiments with many innovative scoring functions, a good scoring function for docking remains elusive. Deep learning models offer alternatives to using explicit empirical or mathematical functions for scoring protein-protein complexes. In this study, we perform a comprehensive survey of the state-of-the-art scoring functions by considering the most popular and highly performant approaches for scoring protein-protein complexes, evaluating their strengths and weaknesses to aid researchers in understanding progress made in this field. Our survey compares the state-of-the-art in classical and deep learning-based scoring methods
DOI: 10.15468/dl.pvmwpf
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "TaxonKey is Oligoryzomys delicatus (J.A.Allen & Chapman, 1897)"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015665-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3g59sa
title: Occurrence Download

description: A dataset containing 2731 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Styrax ferrugineus Nees & Mart., Styrax floridus Pohl, Styrax ferrugineus var. grandifolius Perkins, Styrax nervosus A.DC., Styrax parvifolius Pohl, Styrax reticulatus Mart., Styrax nervosus var. elongatus Seub., Styrax burchellii var. longifolius Perkins, Styrax parvifolium Herb.Berol. ex A.DC.)"
 ]
}

 The dataset includes 2731 records from 138 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015666-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.25r429
title: Occurrence Download

description: A dataset containing 1269 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Machine Observation, Human Observation)",
 "Continent is South America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Issue is Coordinate rounded",
 "OccurrenceStatus is Present",
 "TaxonKey is Myrmecophaga tridactyla Linnaeus, 1758",
 "Year 1976-2024"
 ]
}

 The dataset includes 1269 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015667-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kxmxdf
title: Occurrence Download

description: A dataset containing 96 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "TaxonKey is Oligoryzomys destructor (Tschudi, 1844)"
 ]
}

 The dataset includes 96 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015669-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v8r96u
title: Occurrence Download

description: A dataset containing 295 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Psidium kennedyanum Morong, Psidium tripartitum S.Moore)"
 ]
}

 The dataset includes 295 records from 57 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015668-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25345/c5zp3wb7v
title: MassIVE MSV000095265 - TAK285, GSK1838705A and Src inhibitor 3 Kinobeads selectivity profiling
title: This dataset contains the raw files, search results, and the analyzed data of the Kinobead selectivity profiling of TAK285, GSK1838705A, and Src inhibitor 3.
DOI: 10.15468/dl.33g8pe
title: Occurrence Download

description: A dataset containing 595 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Annona sericea Dunal)"
 ]
}

 The dataset includes 595 records from 73 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015670-240626123714530/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.3761562.v2997
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.15468/dl.c4s5hv
title: Occurrence Download

description: A dataset listing the 46 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-107.81168 23.78335,-108.26448 15.06699,-93.88814 13.40673,-92.83161 24.27388,-107.81168 23.78335))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Centruroides Marx, 1890"
 ]
}

 The dataset's 46 records were derived from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015664-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kngpdc
title: Occurrence Download

description: A dataset containing 134 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "TaxonKey is Oreoryzomys balneator (Thomas, 1900)"
 ]
}

 The dataset includes 134 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015672-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.73d69j
title: Occurrence Download

description: A dataset containing 581 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Ormosia fastigiata Tul., Ormosia glazioviana Harms)"
 ]
}

 The dataset includes 581 records from 93 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015673-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qp3t7w
title: Occurrence Download

description: A dataset containing 300 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ceriops zippeliana Blume"
 ]
}

 The dataset includes 300 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015674-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p63yxg
title: Occurrence Download

description: A dataset containing 179 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Swartzia laxiflora Bong. ex Benth., Swartzia polycarpa Ducke)"
 ]
}

 The dataset includes 179 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015675-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fsjen4
title: Occurrence Download

description: A dataset containing 12913 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "Country is Mexico",
 "DatasetKey is one of (Observation.org, Nature data from around the World, Inventario multitaxonómico: PN El Potosí y RB Sierra del Abra Tanchipa (San Luis Potosí), CNAN/Escorpiones Estado de Mexico, Museum of Comparative Zoology, Harvard University, Digitalización y Sistematización de las Colecciones Biológicas Nacionales del Instituto de Biología, UNAM (invertebrados), CNAN/Scorpiones, iNaturalist Research-grade Observations, Actualización de la Colección de Artrópodos con importancia médica (CAIM), Laboratorio de Entomología, InDRE, Apoyo para la infraestructura de la colección de artrópodos con y sin importancia médica del Laboratorio Estatal de Salud Pública del Estado de Guanajuato, Field Museum of Natural History (Zoology) Insect, Arachnid and Myriapod Collection)",
 "Geometry POLYGON((-107.81168 23.78335,-108.26448 15.06699,-93.88814 13.40673,-92.83161 24.27388,-107.81168 23.78335))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Centruroides Marx, 1890"
 ]
}

 The dataset includes 12913 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015676-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c9puk6
title: Occurrence Download

description: A dataset containing 15397 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ziziphus jujuba Mill."
 ]
}

 The dataset includes 15397 records from 320 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015677-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pvrs9u
title: Occurrence Download

description: A dataset containing 57 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Celtis edulis Nakai, Trema mollis (Kunth ex Willd.) Blume)"
 ]
}

 The dataset includes 57 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015678-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.56e8s9
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cynomops tonkigui Moras, Gregorin, Sattler & Tavares, 2018"
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015680-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wzassh
title: Occurrence Download

description: A dataset containing 21010001 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Amazona viridigenalis (Cassin, 1853), Anthus spragueii (Audubon, 1844), Antrostomus carolinensis (J.F.Gmelin, 1789), Antrostomus vociferus (A.Wilson, 1812), Aphelocoma coerulescens (Bosc, 1795), Bubo scandiacus (Linnaeus, 1758), Calcarius ornatus (J.K.Townsend, 1837), Catharus bicknelli (Ridgway, 1882), Centrocercus minimus Young, C.Braun, Oyler-McCance, Hupp & Quinn, 2000, Centrocercus urophasianus (Bonaparte, 1827), Chaetura pelagica (Linnaeus, 1758), Charadrius montanus J.K.Townsend, 1837, Colinus virginianus (Linnaeus, 1758), Contopus cooperi (Nuttall, 1831), Cypseloides niger (J.F.Gmelin, 1789), Gymnogyps californianus (Shaw, 1797), Gymnorhinus cyanocephalus Wied-Neuwied, 1841, Hesperiphona vespertina (W.Cooper, 1825), Lanius ludovicianus Linnaeus, 1766, Leuconotopicus borealis (Vieillot, 1809), Leucosticte atrata Ridgway, 1874, Leucosticte australis Ridgway, 1874, Melanitta americana (Swainson, 1832), Peucaea aestivalis (M.H.K.Lichtenstein, 1823), Pica nuttalli (Audubon, 1837), Quiscalus quiscula (Linnaeus, 1758), Rhynchopsitta pachyrhyncha (Swainson, 1827), Selasphorus rufus (J.F.Gmelin, 1788), Setophaga cerulea (A.Wilson, 1810), Setophaga chrysoparia (P.L.Sclater & Salvin, 1860), Setophaga kirtlandii (S.F.Baird, 1852), Setophaga striata (J.R.Forster, 1772), Spizella wortheni Ridgway, 1884, Strix occidentalis (Xántus de Vésey, 1860), Toxostoma bendirei (Coues, 1873), Tympanuchus cupido (Linnaeus, 1758), Tympanuchus pallidicinctus (Ridgway, 1873), Vermivora bachmanii (Audubon, 1833), Vermivora chrysoptera (Linnaeus, 1766), Vireo atricapilla Woodhouse, 1852, Zonotrichia querula (Nuttall, 1840), Xenotriccus callizonus Dwight & Griscom, 1927, Procnias tricarunculatus (J.Verreaux & E.Verreaux, 1853))",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "Country is one of (United States of America, Canada, Mexico, Bahamas, Belize, Costa Rica, Cuba, Dominican Republic, Greenland, Guatemala, Honduras, Haiti, Jamaica, Nicaragua, Panama, Puerto Rico, El Salvador, Trinidad and Tobago)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 999",
 "CoordinateUncertaintyInMeters is null"
 ]
 },
 "OccurrenceStatus is Present",
 {
 "or" : [
 "OccurrenceStatus is Present",
 "OccurrenceStatus is null"
 ]
 },
 "Year is greater than or equal to 1990",
 "ScientificName is not null",
 "DecimalLongitude is not null",
 "DecimalLatitude is not null"
 ]
}

 The dataset includes 21010001 records from 152 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015671-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.saf8rm
title: Occurrence Download

description: A dataset containing 2206 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Zygia latifolia (L.) Fawc. & Rendle, Pithecellobium latifolium (L.) Benth., Pithecolobium huberi Ducke, Pithecellobium huberi Ducke)"
 ]
}

 The dataset includes 2206 records from 196 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015679-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qj4kef
title: Occurrence Download

description: A dataset containing 41 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Oldenlandia trinervia Retz."
 ]
}

 The dataset includes 41 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033223-230810091245214/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qwzah4
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chlorodendrophyceae",
 "HasCoordinate is true",
 "Country is one of (Slovenia)",
 "HasGeospatialIssue is false",
 "Year is greater than 2009"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0236053-210914110416597/datasets/export for details.