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

description: A dataset containing 2237 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Country is Brazil",
 "Country is Peru",
 "Country is Ecuador",
 "Country is Colombia",
 "Country is Venezuela (Bolivarian Republic of)",
 "Country is Bolivia (Plurinational State of)",
 "Country is French Guiana",
 "Country is Guyana",
 "Country is Argentina",
 "Country is Paraguay"
 ]
 },
 "Year 1998-2019",
 "HasCoordinate is true",
 "TaxonKey is Oressochen jubatus (Bannister, 1870)",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2237 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007923-190320150433242/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tasfbf
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Cyprus",
 "TaxonKey is Myotis Kaup, 1829"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005435-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mv3wxz
title: Occurrence Download

description: A dataset containing 37241 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Vespa velutina Lepeletier, 1836"
 ]
}

 The dataset includes 37241 records from 147 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0243652-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jzu8k9
title: Occurrence Download

description: A dataset containing 1556104 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Australian Museum provider for OZCAM"
 ]
}

 The dataset includes 1556104 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0084289-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.lyollc
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ichthyornis dispar Marsh, 1872",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 6 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000482-160822134323880/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9z6hyp
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pinguicula gigantea Luhrs"
 ]
}

 The dataset includes 9 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043920-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.knflmj
title: Occurrence Download

description: A dataset containing 25 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Okamuraea hakoniensis (Mitt.) Broth.",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 25 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000482-171124123535762/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qs68dm
title: Occurrence Download

description: A dataset containing 81 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Cyprus",
 "TaxonKey is Motacilla citreola Pallas, 1776"
 ]
}

 The dataset includes 81 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0087719-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xzghsy
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 {
 "or" : [
 "License is CC-BY-NC 4.0",
 "License is CC-BY 4.0",
 "License is CC0 1.0"
 ]
 },
 "TaxonKey is Columbiophasma Conle & Hennemann, 2002"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013507-210819072339941/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6z4gdw
title: Occurrence Download

description: A dataset containing 3753 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Registros biológicos de especies de plantas del Bosque Seco en Colombia presentes en el Herbario JBGP"
 ]
}

 The dataset includes 3753 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0296853-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3pyxkx
title: Occurrence Download

description: A dataset containing 1126 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Quercus shumardii Buckley"
 ]
}

 The dataset includes 1126 records from 48 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0080125-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.umcrbb
title: Occurrence Download

description: A dataset containing 7968 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tayassu pecari (Link, 1795)"
 ]
}

 The dataset includes 7968 records from 117 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0232008-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.359rau
title: Occurrence Download

description: A dataset containing 12072 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Trichosanthes L."
 ]
}

 The dataset includes 12072 records from 204 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052732-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.96jawe
title: Occurrence Download

description: A dataset containing 40460 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Notophthalmus viridescens (Rafinesque, 1820)"
 ]
}

 The dataset includes 40460 records from 105 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0285325-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kt8axd
title: Occurrence Download

description: A dataset containing 39 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Gomphus flavipes (Charpentier, 1825)"
 ]
}

 The dataset includes 39 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000483-160509122628363/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5mycu3
title: Occurrence Download

description: A dataset containing 972 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "or" : [
 "TaxonKey is Cortaderia jubata (Lemoine) Stapf",
 "TaxonKey is Cardiospermum grandiflorum Sw.",
 "TaxonKey is Cabomba caroliniana A.Gray",
 "TaxonKey is Baccharis halimifolia L.",
 "TaxonKey is Asclepias syriaca L."
 ]
 }
 ]
}

 The dataset includes 972 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0248894-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kvxer5
title: Occurrence Download

description: A dataset containing 17535106 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 {
 "or" : [
 "Month is January",
 "Month is February",
 "Month is March",
 "Month is April",
 "Month is May",
 "Month is June",
 "Month is July",
 "Month is August",
 "Month is September"
 ]
 },
 "Year 2011-2020"
 ]
}

 The dataset includes 17535106 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0080722-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gaeeux
title: Occurrence Download

description: A dataset containing 23 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Crocodylus acutus (Cuvier, 1807)",
 "Year 1971-2021"
 ]
}

 The dataset includes 23 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0296855-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xu4hpb
title: Occurrence Download

description: A dataset containing 161940 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Acalypha poiretii Spreng., Acalypha virginica L., Achyranthes aspera L., Acmella repens (Walter) Richard, Actaea pachypoda Elliott, Actaea racemosa L., Adiantum aleuticum (Rupr.) C.A.Paris, Adlumia fungosa (Aiton) Greene ex Britton, Stern & Poggenb., Aeschynomene rudis Benth., Agalinis tenuifolia (Vahl) Raf., Agastache nepetoides (L.) Kuntze, Agastache scrophulariifolia (Willd.) Kuntze, Agave virginica L., Ageratina altissima (L.) R.M.King & H.Rob., Ageratina aromatica (L.) Spach, Agrimonia gryposepala Wallr., Agrimonia parviflora Aiton, Allium canadense L., Allium cernuum Roth, Allium stellatum Nutt. ex Ker Gawl., Amaranthus spinosus L., Ambrosia artemisiifolia L., Ambrosia confertiflora DC., Ambrosia psilostachya DC., Ambrosia trifida L., Amelanchier spicata (Lam.) K.Koch, Amianthium muscitoxicum (Walter) A.Gray, Amorpha fruticosa L., Ampelaster carolinianus (Walter) G.L.Nesom, Amphicarpaea bracteata (L.) Fernald)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 161940 records from 802 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0245995-200613084148143/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.12291623.v1
title: Additional file 4 of APEC: an accesson-based method for single-cell chromatin accessibility analysis

description: Additional file 4. Table S3.
DOI: 10.6084/m9.figshare.20167776.v1
title: Additional file 3 of The application of full-size three-dimensional individual printed model combined with three-dimensional digital demonstration can facilitate patient’s preoperative comprehension to robotic-assisted laparoscopic partial nephrectomy

description: Additional file 3. Research data.
DOI: 10.6084/m9.figshare.12827739
title: outline2_points.csv from A multivariate geostatistical framework for combining multiple indices of abundance for disease vectors and reservoirs: a case study of <i>rattiness</i> in a low-income urban Brazilian community

description: A key requirement in studies of endemic vector-borne or zoonotic disease is an estimate of the spatial variation in vector or reservoir host abundance. For many vector species, multiple indices of abundance are available, but current approaches to choosing between or combining these indices do not fully exploit the potential inferential benefits that might accrue from modelling their joint spatial distribution. Here, we develop a class of multivariate generalized linear geostatistical models for multiple indices of abundance. We illustrate this novel methodology with a case study on Norway rats in a low-income urban Brazilian community, where rat abundance is likely risk factor for human leptospirosis. We combine three indices of rat abundance to draw predictive inferences on a spatially continuous latent process, <i>rattiness</i>, that acts as a proxy for abundance. We show how to explore the association between <i>rattiness</i> and spatially varying environmental factors, evaluate the relative importance of each of the three contributing indices and assess the presence of residual, unexplained spatial variation, and identify <i>rattiness</i> hotspots. The proposed methodology is applicable more generally as a tool for understanding the role of vector or reservoir host abundance in predicting spatial variation in the risk of human disease.
DOI: 10.6084/m9.figshare.18070634
title: Additional file 11 of Dynamic genetic differentiation drives the widespread structural and functional convergent evolution of snake venom proteinaceous toxins

description: Additional file 11. kallikrein alignment.fasta.
DOI: 10.6084/m9.figshare.18070637
title: Additional file 12 of Dynamic genetic differentiation drives the widespread structural and functional convergent evolution of snake venom proteinaceous toxins

description: Additional file 12. kallikrein_tree.tre.
DOI: 10.6084/m9.figshare.20167776
title: Additional file 3 of The application of full-size three-dimensional individual printed model combined with three-dimensional digital demonstration can facilitate patient’s preoperative comprehension to robotic-assisted laparoscopic partial nephrectomy

description: Additional file 3. Research data.
DOI: 10.6084/m9.figshare.12827748.v1
title: FitModelExcTraps.R from A multivariate geostatistical framework for combining multiple indices of abundance for disease vectors and reservoirs: a case study of <i>rattiness</i> in a low-income urban Brazilian community

description: A key requirement in studies of endemic vector-borne or zoonotic disease is an estimate of the spatial variation in vector or reservoir host abundance. For many vector species, multiple indices of abundance are available, but current approaches to choosing between or combining these indices do not fully exploit the potential inferential benefits that might accrue from modelling their joint spatial distribution. Here, we develop a class of multivariate generalized linear geostatistical models for multiple indices of abundance. We illustrate this novel methodology with a case study on Norway rats in a low-income urban Brazilian community, where rat abundance is likely risk factor for human leptospirosis. We combine three indices of rat abundance to draw predictive inferences on a spatially continuous latent process, <i>rattiness</i>, that acts as a proxy for abundance. We show how to explore the association between <i>rattiness</i> and spatially varying environmental factors, evaluate the relative importance of each of the three contributing indices and assess the presence of residual, unexplained spatial variation, and identify <i>rattiness</i> hotspots. The proposed methodology is applicable more generally as a tool for understanding the role of vector or reservoir host abundance in predicting spatial variation in the risk of human disease.
DOI: 10.6084/m9.figshare.12827736
title: FitModelExcPlates.R from A multivariate geostatistical framework for combining multiple indices of abundance for disease vectors and reservoirs: a case study of <i>rattiness</i> in a low-income urban Brazilian community

description: A key requirement in studies of endemic vector-borne or zoonotic disease is an estimate of the spatial variation in vector or reservoir host abundance. For many vector species, multiple indices of abundance are available, but current approaches to choosing between or combining these indices do not fully exploit the potential inferential benefits that might accrue from modelling their joint spatial distribution. Here, we develop a class of multivariate generalized linear geostatistical models for multiple indices of abundance. We illustrate this novel methodology with a case study on Norway rats in a low-income urban Brazilian community, where rat abundance is likely risk factor for human leptospirosis. We combine three indices of rat abundance to draw predictive inferences on a spatially continuous latent process, <i>rattiness</i>, that acts as a proxy for abundance. We show how to explore the association between <i>rattiness</i> and spatially varying environmental factors, evaluate the relative importance of each of the three contributing indices and assess the presence of residual, unexplained spatial variation, and identify <i>rattiness</i> hotspots. The proposed methodology is applicable more generally as a tool for understanding the role of vector or reservoir host abundance in predicting spatial variation in the risk of human disease.
DOI: 10.6084/m9.figshare.12827736.v1
title: FitModelExcPlates.R from A multivariate geostatistical framework for combining multiple indices of abundance for disease vectors and reservoirs: a case study of <i>rattiness</i> in a low-income urban Brazilian community

description: A key requirement in studies of endemic vector-borne or zoonotic disease is an estimate of the spatial variation in vector or reservoir host abundance. For many vector species, multiple indices of abundance are available, but current approaches to choosing between or combining these indices do not fully exploit the potential inferential benefits that might accrue from modelling their joint spatial distribution. Here, we develop a class of multivariate generalized linear geostatistical models for multiple indices of abundance. We illustrate this novel methodology with a case study on Norway rats in a low-income urban Brazilian community, where rat abundance is likely risk factor for human leptospirosis. We combine three indices of rat abundance to draw predictive inferences on a spatially continuous latent process, <i>rattiness</i>, that acts as a proxy for abundance. We show how to explore the association between <i>rattiness</i> and spatially varying environmental factors, evaluate the relative importance of each of the three contributing indices and assess the presence of residual, unexplained spatial variation, and identify <i>rattiness</i> hotspots. The proposed methodology is applicable more generally as a tool for understanding the role of vector or reservoir host abundance in predicting spatial variation in the risk of human disease.
DOI: 10.6084/m9.figshare.12827763.v1
title: 1-PdLRattinessData.csv from A multivariate geostatistical framework for combining multiple indices of abundance for disease vectors and reservoirs: a case study of <i>rattiness</i> in a low-income urban Brazilian community

description: A key requirement in studies of endemic vector-borne or zoonotic disease is an estimate of the spatial variation in vector or reservoir host abundance. For many vector species, multiple indices of abundance are available, but current approaches to choosing between or combining these indices do not fully exploit the potential inferential benefits that might accrue from modelling their joint spatial distribution. Here, we develop a class of multivariate generalized linear geostatistical models for multiple indices of abundance. We illustrate this novel methodology with a case study on Norway rats in a low-income urban Brazilian community, where rat abundance is likely risk factor for human leptospirosis. We combine three indices of rat abundance to draw predictive inferences on a spatially continuous latent process, <i>rattiness</i>, that acts as a proxy for abundance. We show how to explore the association between <i>rattiness</i> and spatially varying environmental factors, evaluate the relative importance of each of the three contributing indices and assess the presence of residual, unexplained spatial variation, and identify <i>rattiness</i> hotspots. The proposed methodology is applicable more generally as a tool for understanding the role of vector or reservoir host abundance in predicting spatial variation in the risk of human disease.
DOI: 10.6084/m9.figshare.18070637.v1
title: Additional file 12 of Dynamic genetic differentiation drives the widespread structural and functional convergent evolution of snake venom proteinaceous toxins

description: Additional file 12. kallikrein_tree.tre.
DOI: 10.6084/m9.figshare.18070646
title: Additional file 15 of Dynamic genetic differentiation drives the widespread structural and functional convergent evolution of snake venom proteinaceous toxins

description: Additional file 15. kunitz tree.tre.
DOI: 10.6084/m9.figshare.18070643.v1
title: Additional file 14 of Dynamic genetic differentiation drives the widespread structural and functional convergent evolution of snake venom proteinaceous toxins

description: Additional file 14. kunitz alignment.fasta.
DOI: 10.6084/m9.figshare.18070643
title: Additional file 14 of Dynamic genetic differentiation drives the widespread structural and functional convergent evolution of snake venom proteinaceous toxins

description: Additional file 14. kunitz alignment.fasta.
DOI: 10.6084/m9.figshare.12827766.v1
title: PredictionExcTraps.R from A multivariate geostatistical framework for combining multiple indices of abundance for disease vectors and reservoirs: a case study of <i>rattiness</i> in a low-income urban Brazilian community

description: A key requirement in studies of endemic vector-borne or zoonotic disease is an estimate of the spatial variation in vector or reservoir host abundance. For many vector species, multiple indices of abundance are available, but current approaches to choosing between or combining these indices do not fully exploit the potential inferential benefits that might accrue from modelling their joint spatial distribution. Here, we develop a class of multivariate generalized linear geostatistical models for multiple indices of abundance. We illustrate this novel methodology with a case study on Norway rats in a low-income urban Brazilian community, where rat abundance is likely risk factor for human leptospirosis. We combine three indices of rat abundance to draw predictive inferences on a spatially continuous latent process, <i>rattiness</i>, that acts as a proxy for abundance. We show how to explore the association between <i>rattiness</i> and spatially varying environmental factors, evaluate the relative importance of each of the three contributing indices and assess the presence of residual, unexplained spatial variation, and identify <i>rattiness</i> hotspots. The proposed methodology is applicable more generally as a tool for understanding the role of vector or reservoir host abundance in predicting spatial variation in the risk of human disease.