cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/5ck87d2f5g
title: Cellulose Nanocrystals based on elastomeric resins

description: Data for "Enhancing Mechanical Performance of Elastomeric Vat-Photopolymerized Resins via Functionalized Cellulose Nanocrystals"
DOI: 10.7934/p5212
title: The origin of chalicotheres (Perissodactyla, Mammalia) (project)
DOI: 10.17632/5ck87d2f5g.1
title: Cellulose Nanocrystals based on elastomeric resins

description: Data for "Enhancing Mechanical Performance of Elastomeric Vat-Photopolymerized Resins via Functionalized Cellulose Nanocrystals"
DOI: 10.7934/p5213
title: New Horned Dinosaurs from Utah Provide Evidence for Intracontinental Dinosaur Endemism (project)
DOI: 10.7934/p5214
title: Rooting phylogenies of problematic fossil taxa; a case study using cinctans (stem-group echinoderms) (project)
DOI: 10.7934/p5215
title: Latimeria chalumnae and its pedigree (project)
DOI: 10.7934/p5216
title: A new notosuchian from the Early Cretaceous of Niger (project)
DOI: 10.7934/p5217
title: Patterns of morphologic diversification among the Rostroconchia (project)
DOI: 10.7934/p5218
title: Postcrania of the most primitive euprimate and implications for primate origins (project)
DOI: 10.7934/p5219
title: Typification of Vaccinium elliottii (Ericaceae) (project)
DOI: 10.15468/dl.umpgpj
title: Occurrence Download

description: A dataset containing 604055 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is one of (Platanus orientalis, Sidalcea hirsuta, Citrus australasica, Dolichos peglerae, Bonplandia geminiflora, Pycnocycla nodiflora, Dionysia zeynepiae, Viola orbelica, Viola parnonia, Viola delphinantha, Bersama swinnyi, Dolichos hastiformis, Cordia salvadorensis, Geococcus pusillus, Melaleuca calyptroides, Melaleuca clavifolia, Melaleuca deanei, Melaleuca decussata, Melaleuca gibbosa, Melaleuca hollidayi, Melaleuca pomphostoma, Melaleuca thyoides, Eriophorum gracile, Tetraria pillansii, Tetraria scariosa, Bobartia indica, Bobartia macrospatha, Anisomeles viscidula, Viola regina, Viola capillaris, Viola canina, Lambertia rariflora, Lambertia propinqua, Thymelaea salsa, Platanus gentryi, Romulea tubulosa, Cordia elaeagnoides, Poa humilis, Seringia cacaobrunnea, Alnus jorullensis, Alnus oblongifolia, Ficinia filiculmea, Ficinia grandiflora, Tradescantia zebrina, Romulea requienii, Poa davisii, Poa kurtzii, Poa labillardierei, Poa molinerii, Poa pseudobulbosa, Viola alburnica, Viola sermenika, Viola pinetorum, Viola vallenarensis, Viola willkommii, Melaleuca araucarioides, Sidalcea glaucescens, Chamaecrista moorei, Tagetes lucida, Poa dolosa, Ficinia echinata, Poa mireniana, Thymelaea sempervirens, Acmadenia faucitincta, Bridgesia incisifolia, Puccinellia acroxantha, Jacquemontia pringlei, Santalum lanceolatum, Conospermum triplinervium, Viola rupestris, Melaleuca eurystoma, Melaleuca hnatiukii, Melaleuca sculponeata, Loeflingia baetica, Eriophorum angustifolium, Chrysosplenium dubium, Chrysosplenium glechomifolium, Romulea lutea, Poa hookeri, Navarretia paradoxiclara, Viola marcelorosasii, Ficinia acuminata, Ficinia brevifolia, Ficinia levynsiae, Romulea tempskyana, Romulea antiatlantica, Romulea gracillima, Hordeum capense, Hordeum pusillum, Poa drummondiana, Poa laetevirens, Poa planifolia, Poa supina, Viola molisana, Viola murronensis, Viola vectoris, Viola microphylla, Viola pluricaulis, Thymelaea procumbens, Melaleuca subalaris)",
 "Year is greater than or equal to 1950"
 ]
}

 The dataset includes 604055 records from 1681 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029590-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pyxnpg
title: Occurrence Download

description: A dataset containing 29284 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "TaxonKey is one of (Taricha torosa (Rathke, 1833))"
 ]
}

 The dataset includes 29284 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003810-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z3bmj2
title: Occurrence Download

description: A dataset containing 36760 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Fauna y Flora del proyecto: Subestación Toluviejo 220 kv y líneas asociadas - Tramo 2"
 ]
}

 The dataset includes 36760 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011848-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zwyab3
title: Occurrence Download

description: A dataset containing 53 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-88.08766 21.8052,-90.23684 21.46323,-90.81771 20.63201,-91.14686 19.43145,-92.57965 18.82779,-92.75391 18.38739,-92.07624 17.54017,-91.47602 17.00399,-90.79834 17.13356,-90.68217 17.614,-88.92022 17.63245,-87.48743 17.76157,-86.40316 20.26918,-86.75167 21.84115,-87.58424 22.02076,-88.08766 21.8052))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Typhlias pearsei Hubbs, 1938",
 "Year 2000-2025"
 ]
}

 The dataset includes 53 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011849-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mwazp2
title: Occurrence Download

description: A dataset listing the 697 species recorded in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Human Observation)",
 "Geometry POLYGON((22.90566 -33.59851,23.87464 -33.59851,23.87464 -33.08118,22.90566 -33.08118,22.90566 -33.59851))",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "TaxonKey is Animalia"
 ]
}

 The dataset's 697 records were derived from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012870-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n7yufj
title: Occurrence Download

description: A dataset containing 32836 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Lynx rufus (Schreber, 1777)"
 ]
}

 The dataset includes 32836 records from 135 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012893-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.um4hq8
title: Occurrence Download

description: A dataset containing 3468 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Tracking of Arctic tern migrations 2007-2008"
 ]
}

 The dataset includes 3468 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012895-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10069297
title: Modelled distributions of fish and epibenthic invertebrates in the southern North Sea

description: These data include distribution maps of fish and invertabrate species in the southern North Sea from 2013 until 2022. The maps are modelled using point data of presence/absence and biomass (per trawled km²) from scientific fisheries surveys to estimate the distribution of the probability of occurrence (POC) or biomass (Kg per km²), respectively. Also included are forecasts of species' distributions assuming increasing water temperatures in the southern North Sea according to the ICCP scenario RCP8.5.
Each files contains a raster stack with layers for each species. The data can be read into the R using the 'stack'-command from the 'raster'-package. The raster stacks contain layers with headers, whihc code the speices and size group. For some species of relevance to fisheries managment, Numbers behind the latin names of the species give information on the included size classes in cm with 'no' indicating no size class information was available.
The file names are composed of the follwing elements:
'bio' = biomass
'poc' = probability of occurrence
'emp' = observed occurrence/abundance data from fisheries surveys with employed spatial smoother
'sdm' = modelled distributin data from random forests
'fc' = forecast distributions based on temperature predictors according to RCP8.5
Year numbers give the time frame of empirical data or model predictions.
DOI: 10.5281/zenodo.10973259
title: Modelled distributions of fish and epibenthic invertebrates in the southern North Sea

description: These data include distribution maps of fish and invertabrate species in the southern North Sea from 2014 until 2023. The maps are modelled using point data of presence/absence and biomass (per trawled km²) from scientific fisheries surveys to estimate the distribution of the probability of occurrence (POC) or biomass (kg per km²), respectively. Also included are forecasts of species' distributions assuming increasing water temperatures in the southern North Sea according to the ICCP scenario RCP8.5.

Each files contains a raster stack with layers for each species. The data can be read into the R using the 'stack'-command from the 'raster'-package. The raster stacks contain layers with headers, which code the species and size group. For some species of relevance to fisheries managment, Numbers behind the latin names of the species give information on the included size classes in cm with 'no' indicating no size class information was available.

The file names are composed of the follwing elements:

'bio' = biomass

'poc' = probability of occurrence

'emp' = observed occurrence/abundance data from fisheries surveys with employed spatial smoother

'sdm' = modelled distributin data from random forests

'fc' = forecast distributions based on temperature predictors according to RCP8.5

Year numbers give the time frame of empirical data or model predictions.
DOI: 10.5281/zenodo.10973382
title: Modelled distributions of fish and epibenthic invertebrates in the southern North Sea

description: These data include distribution maps of fish and invertabrate species in the southern North Sea from 2014 until 2023. The maps are modelled using point data of presence/absence and biomass (per trawled km²) from scientific fisheries surveys to estimate the distribution of the probability of occurrence (POC) or biomass (kg per km²), respectively. Also included are forecasts of species' distributions assuming increasing water temperatures in the southern North Sea according to the ICCP scenario RCP8.5.

Each files contains a raster stack with layers for each species. The data can be read into the R using the 'stack'-command from the 'raster'-package. The raster stacks contain layers with headers, which code the species and size group. For some species of relevance to fisheries managment, Numbers behind the latin names of the species give information on the included size classes in cm with 'no' indicating no size class information was available.

The file names are composed of the follwing elements:

'bio' = biomass

'poc' = probability of occurrence

'emp' = observed occurrence/abundance data from fisheries surveys with employed spatial smoother

'sdm' = modelled distributin data from random forests

'fc' = forecast distributions based on temperature predictors according to RCP8.5

Year numbers give the time frame of empirical data or model predictions.
DOI: 10.5281/zenodo.15078468
title: Modelled distributions of fish and epibenthic invertebrates in the southern North Sea

description: These data include distribution maps of fish and invertabrate species in the southern North Sea from 2014 until 2023. The maps are modelled using point data of presence/absence and biomass (per trawled km²) from scientific fisheries surveys to estimate the distribution of the probability of occurrence (POC) or biomass (kg per km²), respectively. Also included are forecasts of species' distributions assuming increasing water temperatures in the southern North Sea according to the ICCP scenario RCP8.5.

Each files contains a raster stack with layers for each species. The data can be read into the R using the 'stack'-command from the 'raster'-package. The raster stacks contain layers with headers, which code the species and size group. For some species of relevance to fisheries managment, Numbers behind the latin names of the species give information on the included size classes in cm with 'no' indicating no size class information was available.

The file names are composed of the follwing elements:

'bio' = biomass

'poc' = probability of occurrence

'emp' = observed occurrence/abundance data from fisheries surveys with employed spatial smoother

'sdm' = modelled distributin data from random forests

'fc' = forecast distributions based on temperature predictors according to RCP8.5

'rel.ca2' = core areas (CA) of distribution representing values > then the mid-point of modelled POC value range

Year numbers give the time frame of empirical data or model predictions.
DOI: 10.5281/zenodo.10069296
title: Modelled distributions of fish and epibenthic invertebrates in the southern North Sea

description: These data include distribution maps of fish and invertabrate species in the southern North Sea from 2014 until 2023. The maps are modelled using point data of presence/absence and biomass (per trawled km²) from scientific fisheries surveys to estimate the distribution of the probability of occurrence (POC) or biomass (kg per km²), respectively. Also included are forecasts of species' distributions assuming increasing water temperatures in the southern North Sea according to the ICCP scenario RCP8.5.

Each files contains a raster stack with layers for each species. The data can be read into the R using the 'stack'-command from the 'raster'-package. The raster stacks contain layers with headers, which code the species and size group. For some species of relevance to fisheries managment, Numbers behind the latin names of the species give information on the included size classes in cm with 'no' indicating no size class information was available.

The file names are composed of the follwing elements:

'bio' = biomass

'poc' = probability of occurrence

'emp' = observed occurrence/abundance data from fisheries surveys with employed spatial smoother

'sdm' = modelled distributin data from random forests

'fc' = forecast distributions based on temperature predictors according to RCP8.5

'rel.ca2' = core areas (CA) of distribution representing values > then the mid-point of modelled POC value range

Year numbers give the time frame of empirical data or model predictions. 

 

You can access the .tiff-files with the following R-commands using the directory path where you have stored the files:

library(raster)

poc<-stack("your_path/poc.sdm.2014_2023.tiff")

poc$gadus.morhua_5_113 # Plots distribution of Atlantic cod as probability of occurrence observed at a size range from 5 - 113 cm tail length
DOI: 10.5281/zenodo.11261320
title: Modelled distributions of fish and epibenthic invertebrates in the southern North Sea

description: These data include distribution maps of fish and invertabrate species in the southern North Sea from 2014 until 2023. The maps are modelled using point data of presence/absence and biomass (per trawled km²) from scientific fisheries surveys to estimate the distribution of the probability of occurrence (POC) or biomass (kg per km²), respectively. Also included are forecasts of species' distributions assuming increasing water temperatures in the southern North Sea according to the ICCP scenario RCP8.5.

Each files contains a raster stack with layers for each species. The data can be read into the R using the 'stack'-command from the 'raster'-package. The raster stacks contain layers with headers, which code the species and size group. For some species of relevance to fisheries managment, Numbers behind the latin names of the species give information on the included size classes in cm with 'no' indicating no size class information was available.

The file names are composed of the follwing elements:

'bio' = biomass

'poc' = probability of occurrence

'emp' = observed occurrence/abundance data from fisheries surveys with employed spatial smoother

'sdm' = modelled distributin data from random forests

'fc' = forecast distributions based on temperature predictors according to RCP8.5

Year numbers give the time frame of empirical data or model predictions.
DOI: 10.5281/zenodo.15279371
title: Modelled distributions of fish and epibenthic invertebrates in the southern North Sea

description: These data include distribution maps of fish and invertabrate species in the southern North Sea from 2014 until 2023. The maps are modelled using point data of presence/absence and biomass (per trawled km²) from scientific fisheries surveys to estimate the distribution of the probability of occurrence (POC) or biomass (kg per km²), respectively. Also included are forecasts of species' distributions assuming increasing water temperatures in the southern North Sea according to the ICCP scenario RCP8.5.

Each files contains a raster stack with layers for each species. The data can be read into the R using the 'stack'-command from the 'raster'-package. The raster stacks contain layers with headers, which code the species and size group. For some species of relevance to fisheries managment, Numbers behind the latin names of the species give information on the included size classes in cm with 'no' indicating no size class information was available.

The file names are composed of the follwing elements:

'bio' = biomass

'poc' = probability of occurrence

'emp' = observed occurrence/abundance data from fisheries surveys with employed spatial smoother

'sdm' = modelled distributin data from random forests

'fc' = forecast distributions based on temperature predictors according to RCP8.5

'rel.ca2' = core areas (CA) of distribution representing values > then the mid-point of modelled POC value range

Year numbers give the time frame of empirical data or model predictions. 

 

You can access the .tiff-files with the following R-commands using the directory path where you have stored the files:

library(raster)

poc<-stack("your_path/poc.sdm.2014_2023.tiff")

poc$gadus.morhua_5_113 # Plots distribution of Atlantic cod as probability of occurrence observed at a size range from 5 - 113 cm tail length
DOI: 10.15468/dl.g4mvz4
title: Occurrence Download

description: A dataset containing 50 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rumex crispus",
 "Country is Brazil",
 "HasCoordinate is true"
 ]
}

 The dataset includes 50 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024501-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.89xbum
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rumex crispus",
 "Country is Angola",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024499-250811113504898/datasets/export for details.
DOI: 10.15468/dl.dvkeyp
title: Occurrence Download

description: A dataset containing 264 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rumex crispus",
 "Country is Argentina",
 "HasCoordinate is true"
 ]
}

 The dataset includes 264 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024500-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9mce5j
title: Occurrence Download

description: A dataset containing 13189 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Germany",
 "DatasetKey is one of (NABU|naturgucker, Observation.org, Nature data from around the World, iNaturalist Research-grade Observations)",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Psittacula krameri (Scopoli, 1769), Psittacula eupatria (Linnaeus, 1766))"
 ]
}

 The dataset includes 13189 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009418-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15274452
title: coordenadasgps.csv

description: archivo de prueba
DOI: 10.5281/zenodo.15274455
title: coordenadasgps.csv

description: archivo de prueba
DOI: 10.5281/zenodo.15274442
title: L.G. Garcia-Montero - TMCFs & coffee crops DATA
DOI: 10.5281/zenodo.15274443
title: L.G. Garcia-Montero - TMCFs & coffee crops DATA
DOI: 10.15468/dl.9curne
title: Occurrence Download

description: A dataset containing 7771 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Natural England bat roost visit records from 2013 onwards",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 7771 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012896-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15487011
title: LA-ICP-MS data for Basin Response to Slab Detachment under the Eastern Betics

description: EXCEL data table for U-Pb LA-ICP-MS data from detrital zircons of the Eastern Betic sedimentary basins and their metamorphic basment included in article "Basin Response to Slab Detachment under the Eastern Betics" (Booth-Rea et al., submitted to Tectonics). Data we obtained in the Andalchron lab in the Instituto Andaluz de Ciencias de la Tierra, Granada, Spain.
DOI: 10.5281/zenodo.15487012
title: LA-ICP-MS data for Basin Response to Slab Detachment under the Eastern Betics

description: EXCEL data table for U-Pb LA-ICP-MS data from detrital zircons of the Eastern Betic sedimentary basins and their metamorphic basment included in article "Basin Response to Slab Detachment under the Eastern Betics" (Booth-Rea et al., submitted to Tectonics). Data we obtained in the Andalchron lab in the Instituto Andaluz de Ciencias de la Tierra, Granada, Spain.
DOI: 10.15468/dl.5xx4bw
title: Occurrence Download

description: A dataset containing 1345 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is France",
 "Geometry POLYGON((1.23437 43.43978,1.24474 43.44268,1.24511 43.44358,1.24519 43.45772,1.24338 43.4603,1.23016 43.47203,1.22175 43.46881,1.22648 43.44024,1.23437 43.43978))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "License is one of (CC-BY 4.0, CC0 1.0)",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 1345 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007046-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.