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

description: A dataset containing 806 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Minuca rapax"
 ]
}

 The dataset includes 806 records from 45 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045424-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15493/dea.mims.605204
title: Analysed Nutrient data from the Integrated Ecosystem Programme: Southern Benguela (IEP:SB) cruise on the Algoa Voyage 239, May 2017

description: Analysed Nutrient data from the Integrated Ecosystem Programme: Southern Benguela (IEP:SB) cruise on the Algoa Voyage 239, May 2017
description: Nutrient data for the Integrated Ecosystem Programme: Southern Benguela (IEP:SB): May 2017 from all stations.IEP:SB focuses on the biologically productive, cold waters of the Benguela Current Large Marine Ecosystem, which are inherently variable on short time-scales and responsive to changing weather patterms. The research aims to provide relevant, reliable and improved assessment of the ecosystem, in support of its effective management, preservation and conservation, so that South Africans can benefit from a healthy and well-functioning ocean environment. The overarching objective is to enhance understanding in process studies by assessing the importance, timing and magnitude of mechanisms and processes that influence the Southern Benguela ecosystem structure and functioning, including the climate variability.
description: Nitrate and silicate concentrations are to be measured on a Lachat QuickChem Flow Analysis platform following published auto-analysis protocols (Grasshoff 1976; Diamond 1994). The Lachat QuickChem Flow Autoanalysis platform configuration used has a detection limit of 0.1 µM. Nitrite concentrations were determined using the benchtop colorimetric Greiss reaction (Bendschneider and Robinson 1952; Parsons et al. 1984). Absorbance was measured using a Thermo Scientific Geneysis 30 Visible spectrophotometer at a wavelength of 543 nm. The method has a detection limit of 0.05 µM. Phosphate was determined using the Strickland and Parsons colourimetric method (Strickland and Parsons 1968). Samples and standards were measured using a Thermo Scientific Geneysis 30 Visible spectrophotometer at a wavelength of 880 nm. The method has a detection limit of 0.05 µM.
DOI: 10.15493/dea.mims.26000005
title: St Helena Bay Monitoring Line (SHBML) on the Africana Voyage 222, August 2006

description: This St Helena Bay Monitoring Line (SHBML) cruise was conducted on the Africana Voyage 222 in August 2006. This is a long-term monitoring line conducted off the coast of Elands/St Helena Bay on the west coast of South Africa. SHBML started in 2000 as a BENEFIT-driven project on "shipboard monitoring" which linked with similar lines run in Namibia and Angola. The aims were to obtain seasonal and interannual information on the hydrology and productivity of the area. It was incorporated under the Integrated Ecosystem Programme: Southern Benguela (IEP:SB) in 2013 consolidating a long-term, multi-decadal time-series (from 1951 onward) of information for this important region and has continued monitoring in the form of the IEP:SB. The programme is a multi-disciplinary, collaborative and capacity building platform undertaking relevant science, including updating technology, with the aim to develop ecosystem indicators that can be used to effectively monitor and understand the Southern Benguela. These include physical, chemical, planktonic, microbial, seabird, marine mammal, benthic and pollution (plastic) ecosystem indicators as required by ecosystem-based management regarding the following priorities: ocean warming, ocean acidification, trophic functioning, pollution and water quality. It is on-going monitoring programme.
DOI: 10.15493/dea.mims.250121-2
title: St Helena Bay Monitoring Line (SHBML) on the Africana Voyage 169, September 2002

description: This St Helena Bay Monitoring Line (SHBML) cruise was conducted on the Africana Voyage 169 in September 2002. This is a long-term monitoring line conducted off the coast of Elands/St Helena Bay on the west coast of South Africa. SHBML started in 2000 as a BENEFIT-driven project on "shipboard monitoring" which linked with similar lines run in Namibia and Angola. The aims were to obtain seasonal and interannual information on the hydrology and productivity of the area. It was incorporated under the Integrated Ecosystem Programme: Southern Benguela (IEP:SB) in 2013 consolidating a long-term, multi-decadal time-series (from 1951 onward) of information for this important region and has continued monitoring in the form of the IEP:SB. The programme is a multi-disciplinary, collaborative and capacity building platform undertaking relevant science, including updating technology, with the aim to develop ecosystem indicators that can be used to effectively monitor and understand the Southern Benguela. These include physical, chemical, planktonic, microbial, seabird, marine mammal, benthic and pollution (plastic) ecosystem indicators as required by ecosystem-based management regarding the following priorities: ocean warming, ocean acidification, trophic functioning, pollution and water quality. It is on-going monitoring programme.
DOI: 10.15493/dea.mims.605202
title: Analysed Particulate Organic Matter data from the Integrated Ecosystem Programme: Southern Benguela (IEP:SB) cruise on the Algoa Voyage 239, May 2017

description: Analysed Particulate Organic Matter data from the Integrated Ecosystem Programme: Southern Benguela (IEP:SB) cruise on the Algoa Voyage 239, May 2017
description: Particulate Organic Matter data (stable isotope) for the Integrated Ecosystem Programme: Southern Benguela (IEP:SB): May 2017. IEP:SB focuses on the biologically productive, cold waters of the Benguela Current Large Marine Ecosystem, which are inherently variable on short time-scales and responsive to changing weather patterns. The research aims to provide relevant, reliable and improved assessment of the ecosystem, in support of its effective management, preservation and conservation, so that South Africans can benefit from a healthy and well-functioning ocean environment. The overarching objective is to enhance understanding in process studies by assessing the importance, timing and magnitude of mechanisms and processes that influence the Southern Benguela ecosystem structure and functioning, including the climate variability.
description: Filters were combusted in a Flash 2000 organic Elemental Analyzer and the isotope ratios of the resulting gases (N2) analysed with an in-line Delta V Plus IRMS via a Conflo IV gas control unit. A blank combustion followed every filter sample to ensure carry over from one sample to the next is reduced as much as possible. Three in-house standards were run at regular intervals: Merck Gel, a proteinaceous gel produced by Merck with a δ15N of 7.5‰, Valine, a branch chain amino acid with a δ15N of 12.1‰ purchased from Sigma, and an NH4Cl standard, with a δ15N of -0.6‰. These standards have been calibrated against IAEA reference materials. The samples were run in batches of 30-50 samples with standards run after every 10 samples. The δ15N of PON on the filters was calculated using equation 1, with Rstandard being a N2 reference gas in this gas.
DOI: 10.15468/dl.zq8sue
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Minuca victoriana"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045425-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15493/dea.mims.26000008
title: St Helena Bay Monitoring Line (SHBML) on the Africana Voyage 216, March 2006

description: This St Helena Bay Monitoring Line (SHBML) cruise was conducted on the Africana Voyage 216 in March 2006. This is a long-term monitoring line conducted off the coast of Elands/St Helena Bay on the west coast of South Africa. SHBML started in 2000 as a BENEFIT-driven project on "shipboard monitoring" which linked with similar lines run in Namibia and Angola. The aims were to obtain seasonal and interannual information on the hydrology and productivity of the area. It was incorporated under the Integrated Ecosystem Programme: Southern Benguela (IEP:SB) in 2013 consolidating a long-term, multi-decadal time-series (from 1951 onward) of information for this important region and has continued monitoring in the form of the IEP:SB. The programme is a multi-disciplinary, collaborative and capacity building platform undertaking relevant science, including updating technology, with the aim to develop ecosystem indicators that can be used to effectively monitor and understand the Southern Benguela. These include physical, chemical, planktonic, microbial, seabird, marine mammal, benthic and pollution (plastic) ecosystem indicators as required by ecosystem-based management regarding the following priorities: ocean warming, ocean acidification, trophic functioning, pollution and water quality. It is on-going monitoring programme.
DOI: 10.15493/dea.mims.605208
title: Analysed Nitrate isotope data from the Integrated Ecosystem Programme: Southern Benguela (IEP: SB) cruise on the Algoa Voyage 239, May 2017

description: Analysed Nitrate isotope data from the Integrated Ecosystem Programme: Southern Benguela (IEP: SB) cruise on the Algoa Voyage 239, May 2017
description: Nitrate isotope data for the Integrated Ecosystem Programme: Southern Benguela (IEP:SB): May 2017. IEP:SB focuses on the biologically productive, cold waters of the Benguela Current Large Marine Ecosystem, which are inherently variable on short time-scales and responsive to changing weather patterms. The research aims to provide relevant, reliable and improved assessment of the ecosystem, in support of its effective management, preservation and conservation, so that South Africans can benefit from a healthy and well-functioning ocean environment. The overarching objective is to enhance understanding in process studies by assessing the importance, timing and magnitude of mechanisms and processes that influence the Southern Benguela ecosystem structure and functioning, including the climate variability.
description: Nitrate N and O isotope ratios were measured using the “denitrifier method” (Sigman et al. 2001; Casciotti et al. 2002; McIlvin and Casciotti 2011). Briefly, nitrate is added to active denitrifying bacteria that lack a terminal N2O reductase enzyme and converts aqueous nitrate quantitatively to N2O gas. The N and O isotope ratios of the N2O gas are then analysed by isotope ratio mass spectrometry (IRMS).
DOI: 10.15493/dea.mims.605203
title: Analysed Nutrient data from the Integrated Ecosystem Programme: Southern Benguela (IEP:SB) cruise on the Algoa Voyage 235, February 2017

description: Analysed Nutrient data from the Integrated Ecosystem Programme: Southern Benguela (IEP:SB) cruise on the Algoa Voyage 235, February 2017
description: Nutrient data for the Integrated Ecosystem Programme: Southern Benguela (IEP:SB): Feb 2017.IEP:SB focuses on the biologically productive, cold waters of the Benguela Current Large Marine Ecosystem, which are inherently variable on short time-scales and responsive to changing weather patterms. The research aims to provide relevant, reliable and improved assessment of the ecosystem, in support of its effective management, preservation and conservation, so that South Africans can benefit from a healthy and well-functioning ocean environment. The overarching objective is to enhance understanding in process studies by assessing the importance, timing and magnitude of mechanisms and processes that influence the Southern Benguela ecosystem structure and functioning, including the climate variability.
description: Nitrate and silicate concentrations are to be measured on a Lachat QuickChem Flow Analysis platform following published auto-analysis protocols (Grasshoff 1976; Diamond 1994). The Lachat QuickChem Flow Autoanalysis platform configuration used has a detection limit of 0.1 µM. Nitrite concentrations were determined using the benchtop colorimetric Greiss reaction (Bendschneider and Robinson 1952; Parsons et al. 1984). Absorbance was measured using a Thermo Scientific Geneysis 30 Visible spectrophotometer at a wavelength of 543 nm. The method has a detection limit of 0.05 µM. Phosphate was determined using the Strickland and Parsons colourimetric method (Strickland and Parsons 1968). Samples and standards were measured using a Thermo Scientific Geneysis 30 Visible spectrophotometer at a wavelength of 880 nm. The method has a detection limit of 0.05 µM.
DOI: 10.15468/dl.6vybnw
title: Occurrence Download

description: A dataset containing 67800089 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Artibeus jamaicensis, Brachyphylla cavernarum, Stenoderma rufum, Molossus molossus, Noctilio leporinus, Nomonyx dominicus, Oxyura jamaicensis, Dendrocygna arborea, Anas bahamensis, Nycticorax nycticorax, Ardea herodias, Ardea alba, Ixobrychus exilis, Egretta thula, Egretta tricolor, Chordeiles gundlachii, Charadrius vociferus, Charadrius melodus, Charadrius nivosus, Charadrius wilsonia, Geotrygon mystacea, Patagioenas squamosa, Patagioenas leucocephala, Falco peregrinus, Fregata magnificens, Haematopus palliatus, Progne dominicensis, Sternula antillarum, Sterna dougallii, Thalasseus maximus, Thalasseus sandvicensis, Setophaga adelaidae, Pelecanus occidentalis, Phaethon aethereus, Phaethon lepturus, Tachybaptus dominicus, Puffinus lherminieri, Rallus crepitans, Calidris canutus, Calidris pusilla, Numenius phaeopus, Tringa semipalmata, Sula leucogaster, Sula dactylatra, Sula sula, Orthorhyncus cristatus, Anthracothorax dominicus, Anguilla rostrata, Eleutherodactylus lentus, Eleutherodactylus schwartzi, Amphisbaena fenestrata, Spondylurus semitaeniatus, Spondylurus sloanii, Sphaerodactylus beattyi, Chilabothrus granti, Borikenophis portoricensis, Magliophis exiguus, Antillotyphlops richardi, Macrobrachium carcinus, Awaous banana, Atya scabra, Pholidoscelis polops)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 67800089 records from 4990 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045285-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.znjpwq
title: Occurrence Download

description: A dataset containing 2221 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lepus saxatilis F.Cuvier, 1823"
 ]
}

 The dataset includes 2221 records from 50 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035776-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7wydgj
title: Occurrence Download

description: A dataset containing 2221 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lepus saxatilis F.Cuvier, 1823"
 ]
}

 The dataset includes 2221 records from 50 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035777-240506114902167/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.25681047
title: SI code from Multiscale selection in spatially structured populations

description: Simulation code and analysis scripts of the SI model
DOI: 10.6084/m9.figshare.25681053.v2
title: Altruism code from Multiscale selection in spatially structured populations

description: Simulation code and analysis scripts of the altruism model
DOI: 10.15468/dl.a57epe
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Opogona purpuriella Swezey, 1913)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 8 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035779-240506114902167/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.25681053
title: Altruism code from Multiscale selection in spatially structured populations

description: Simulation code and analysis scripts of the altruism model
DOI: 10.25345/c5zs2kq86
title: MassIVE MSV000094847 - CD36 interactome using biotinylation by antibody recognition
title: Identification of CD36 interactome using proximity biotinylation approach based on antibody recognition named BAR (Bar et al., Biotinylation by Antibody Recognition, a Method for Proximity Labeling. Nature Methods 15, 2: 127 33). Samples were collected from hTERT immortalized (human telomerase reverse transcriptase) human microvascular endothelial cells stably transduced for the doxycycline inducible expression of CD36. Cells expressing CD36 or non-induced control were processed for BAR (n=8). Biotinylated proteins were captured on streptavidin beads, and on-bead digested. Samples were analyzed on a Lumos Tribrid MS instrument using DDA mode. Protein identifications and abundances were generated using ProteomeDiscoverer (v2.4).
DOI: 10.5281/zenodo.4772827
title: Simulated data for Predicting the dynamics of establishing tree populations a framework for statistical inference and lessons for data collection

description: This dataset gathers simulated data used in the paper Predicting the dynamics of establishing tree populations a framework for statistical inference and lessons for data collection in Methods in Ecology and Evolution. It comprises the prior distributions used for the ABC step of the different data scenario described in the paper and the data (ie forest populations) simulated from those prior distributions using the IBM model (Base scenario and scenario G: "priors_non_inf_modele13_105.csv" and "simu_prior_non_inf_modele13_105.RData", scenario D and DG: "priors_croiss_modele13_105.csv" and "simu_prior_croiss_modele13_105.RData", scenario R and RG: "priors_disp_modele13_105.csv" and "simu_prior_disp_modele13_105.RData", scenario DR and DRG: "priors_croiss_disp_modele13_105.csv" and "simu_prior_croiss_disp_modele13_105.RData"). The model code is available at https://gitlab.com/lamonica_/data-predicting-the-dynamics-of-establishing-tree-populations-a-framework-for-statistical-inference-and-lessons-for-data-collection
DOI: 10.5281/zenodo.4772826
title: Simulated data for Predicting the dynamics of establishing tree populations a framework for statistical inference and lessons for data collection

description: This dataset gathers simulated data used in the paper Predicting the dynamics of establishing tree populations a framework for statistical inference and lessons for data collection in Methods in Ecology and Evolution. It comprises the reference data ("data_modele13.RData"), the prior distributions used for the ABC step of the different data scenario described in the paper and the data (ie forest populations) simulated from those prior distributions using the IBM model (Base scenario and scenario G: "priors_non_inf_modele13_105.csv" and "simu_prior_non_inf_modele13_105.RData", scenario D and DG: "priors_croiss_modele13_105.csv" and "simu_prior_croiss_modele13_105.RData", scenario R and RG: "priors_disp_modele13_105.csv" and "simu_prior_disp_modele13_105.RData", scenario DR and DRG: "priors_croiss_disp_modele13_105.csv" and "simu_prior_croiss_disp_modele13_105.RData").


The model code is available at https://gitlab.com/lamonica_/data-predicting-the-dynamics-of-establishing-tree-populations-a-framework-for-statistical-inference-and-lessons-for-data-collection
DOI: 10.5281/zenodo.4773205
title: Simulated data for Predicting the dynamics of establishing tree populations a framework for statistical inference and lessons for data collection

description: This dataset gathers simulated data used in the paper Predicting the dynamics of establishing tree populations a framework for statistical inference and lessons for data collection in Methods in Ecology and Evolution. It comprises the reference data ("data_modele13.RData"), the prior distributions used for the ABC step of the different data scenario described in the paper and the data (ie forest populations) simulated from those prior distributions using the IBM model (Base scenario and scenario G: "priors_non_inf_modele13_105.csv" and "simu_prior_non_inf_modele13_105.RData", scenario D and DG: "priors_croiss_modele13_105.csv" and "simu_prior_croiss_modele13_105.RData", scenario R and RG: "priors_disp_modele13_105.csv" and "simu_prior_disp_modele13_105.RData", scenario DR and DRG: "priors_croiss_disp_modele13_105.csv" and "simu_prior_croiss_disp_modele13_105.RData").


The model code is available at https://gitlab.com/lamonica_/data-predicting-the-dynamics-of-establishing-tree-populations-a-framework-for-statistical-inference-and-lessons-for-data-collection
DOI: 10.15139/s3/hg5shw
title: Monmouth University Pennsylvania Poll, Number 238

description: This survey was conducted among Pennsylvania registered voters and addresses the 2020 general election for president.
DOI: 10.15468/dl.6j5wxu
title: Occurrence Download

description: A dataset containing 44 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Erechthias minuscula (Walsingham, 1897))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 44 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035780-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tdhtga
title: Occurrence Download

description: A dataset containing 171 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Panaqolus maccus (Schaefer & Stewart, 1993)"
 ]
}

 The dataset includes 171 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035781-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ktugvd
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Trichophaga mormopis Meyrick, 1935)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 4 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035782-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.teu9b9
title: Occurrence Download

description: A dataset containing 128714 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Strix uralensis Pallas, 1771",
 "BasisOfRecord is one of (Human Observation, Observation)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 "Country is one of (Finland, Ireland, Sweden, Cyprus, Portugal, Netherlands, France, Bulgaria, Romania, Spain, Poland, Czechia, Malta, United Kingdom of Great Britain and Northern Ireland, Austria, Croatia, Slovenia, Slovakia, Germany, Denmark, Italy, Belgium, Gibraltar, Lithuania, Greece, Luxembourg, Latvia, Estonia, Hungary)"
 ]
}

 The dataset includes 128714 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035767-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.