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

description: A dataset containing 21 species occurrences available in GBIF matching the query:
{
 "and" : [
 "VerbatimScientificName is Passerculus guttatus",
 "BasisOfRecord is one of (Machine Observation, Human Observation)",
 "Year 2011-2021",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Specimen, Material citation, Material sample)"
 ]
 }
 }
 ]
}

 The dataset includes 21 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078869-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4ka6n5
title: Occurrence Download

description: A dataset containing 1534 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Syngnathus rostellatus Nilsson, 1855"
 ]
}

 The dataset includes 1534 records from 85 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010441-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qcbfbh
title: Occurrence Download

description: A dataset containing 2086 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Stachytarpheta indica (L.) Vahl"
 ]
}

 The dataset includes 2086 records from 145 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002398-190307172214381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hy2qpg
title: Occurrence Download

description: A dataset containing 65 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((26.66962 29.51418,17.01195 -60.90163,147.22404 -56.2393,145.72544 -9.94907,131.90497 -1.79,99.93474 3.03884,103.76451 24.85186,69.96265 34.34302,26.66962 29.51418))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Mesoplodon densirostris"
 ]
}

 The dataset includes 65 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021873-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6wf5qn
title: Occurrence Download

description: A dataset containing 61 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Calepina irregularis",
 "Country is Bulgaria",
 "HasCoordinate is true"
 ]
}

 The dataset includes 61 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021871-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/12948163
title: World Weather Repository ( Daily Updating )
DOI: 10.15468/dl.qkasby
title: Occurrence Download

description: A dataset containing 29488 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Phalacrocorax aristotelis",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Geometry POLYGON ((-6.6 29.26705, -6.6 50.94, 40.81373 50.94, 40.81373 29.26705, -6.6 29.26705))",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Observation, Material sample)"
 ]
}

 The dataset includes 29488 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021770-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vn5889
title: Occurrence Download

description: A dataset containing 2229 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Olea capensis",
 "Geometry POLYGON ((-17.62504 -34.81917, 51.13387 -34.81917, 51.13387 37.34999, -17.62504 37.34999, -17.62504 -34.81917))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2229 records from 50 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021876-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fzur8d
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((26.66962 29.51418,17.01195 -60.90163,147.22404 -56.2393,145.72544 -9.94907,131.90497 -1.79,99.93474 3.03884,103.76451 24.85186,69.96265 34.34302,26.66962 29.51418))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Mesoplodon eueu"
 ]
}

 The dataset includes 4 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021878-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.prksu9
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((26.66962 29.51418,17.01195 -60.90163,147.22404 -56.2393,145.72544 -9.94907,131.90497 -1.79,99.93474 3.03884,103.76451 24.85186,69.96265 34.34302,26.66962 29.51418))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Cephalorhynchus commersonii kerguelenensis"
 ]
}

 The dataset includes 7 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021879-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d8ed68
title: Occurrence Download

description: A dataset containing 2289 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is EOD – eBird Observation Dataset",
 "Geometry POLYGON((118.30866 5.5907,118.25553 5.57321,118.14384 5.4535,118.19418 5.37243,118.26857 5.41119,118.36835 5.5662,118.30866 5.5907))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Ciconia stormi"
 ]
}

 The dataset includes 2289 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021874-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rcfaak
title: Occurrence Download

description: A dataset containing 18212 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Neophron percnopterus",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Geometry POLYGON ((-6.6 29.26705, -6.6 50.94, 40.81373 50.94, 40.81373 29.26705, -6.6 29.26705))",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Observation, Material sample)"
 ]
}

 The dataset includes 18212 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021766-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17020076
title: Code and Data for the ECJ submission: Generation of Continuous Optimization Benchmark Problems Guided by Deep Exploratory Landscape Analysis

description: Code and Data for reproducibility of the work in the ECJ submission "Generation of Continuous Optimization Benchmark Problems Guided by Deep Exploratory Landscape Analysis".To be able to run the code you can proceed as follows (replace mamba by conda if you do not have it installed):

# Create the env
mamba create -n deepela-genfun -c conda-forge python=3.11.5 pip -y

# Activate it
mamba activate deepela-genfun

# Install requirements
pip install -r requirements.txt

If you want to use a virtual env instead first make sure you have Python/3.11.5 installed.

# Make sure this prints "Python 3.11.5"
python -V

# Create the env
python -m venv ~/.venvs/deepela-genfun

# Activate it
source ~/.venvs/deepela-genfun/bin/activate

# Install requirements
pip install -r requirements.txt

Finally, install the Deep ELA package alongside pflacco as described here: https://github.com/mvseiler/deep_ela.Regarding the data, it was necessary to split the zip file into larger chunks to allow for an upload to the repository.After downloading you can put the chunks back together by executing:

cat data.zip.part-* > data.zip

Afterwards it can be  unzipped like any other zip file.
DOI: 10.5281/zenodo.17020077
title: Code and Data for the ECJ submission: Generation of Continuous Optimization Benchmark Problems Guided by Deep Exploratory Landscape Analysis

description: Code and Data for reproducibility of the work in the ECJ submission "Generation of Continuous Optimization Benchmark Problems Guided by Deep Exploratory Landscape Analysis".To be able to run the code you can proceed as follows (replace mamba by conda if you do not have it installed):

# Create the env
mamba create -n deepela-genfun -c conda-forge python=3.11.5 pip -y

# Activate it
mamba activate deepela-genfun

# Install requirements
pip install -r requirements.txt

If you want to use a virtual env instead first make sure you have Python/3.11.5 installed.

# Make sure this prints "Python 3.11.5"
python -V

# Create the env
python -m venv ~/.venvs/deepela-genfun

# Activate it
source ~/.venvs/deepela-genfun/bin/activate

# Install requirements
pip install -r requirements.txt

Finally, install the Deep ELA package alongside pflacco as described here: https://github.com/mvseiler/deep_ela.Regarding the data, it was necessary to split the zip file into larger chunks to allow for an upload to the repository.After downloading you can put the chunks back together by executing:

cat data.zip.part-* > data.zip

Afterwards it can be  unzipped like any other zip file.
DOI: 10.15468/dl.7we5te
title: Occurrence Download

description: A dataset listing the 7855 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is one of (Indonesia, Papua New Guinea, Philippines, Malaysia)",
 "TaxonKey is one of (Nymphalidae, Hedylidae, Hesperiidae, Lycaenidae, Pieridae, Riodinidae, Papilionidae)"
 ]
}

 The dataset's 7855 records were derived from 177 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021854-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r3pm9g
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Knodus delta)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 13 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021880-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nztncz
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Hydrovatus villiersi, Hydrovatus vulneratus, Hyphydrus signatus, Hyphydrus caffer, Hyphydrus circumflexus, Hyphydrus cycloides, Hyphydrus grandis, Hyphydrus impressus, Hyphydrus komghaensis, Hyphydrus prozeskyi, Hyphydrus residuus, Hyphydrus soni, Laccophilus canthydroides, Laccophilus concisus, Laccophilus contiro, Laccophilus pallescens, Laccophilus immundus, Laccophilus necopinus, Laccophilus remex, Laccophilus shephardi, Laccophilus simplicistriatus, Laccophilus torquatus, Laccophilus vermiculosus, Laccophilus, Leiodytes australis, Leiodytes, Leiodytes evanescens, Leiodytes hieroglyphicus, Nebrioporus capensis, Nebrioporus, Nebrioporus solivagus, Nebrioporus vagrans, Peschetius ultimus, Philaccolus lineatoguttatus, Philaccolus, Philodytes, Platydytes coarctaticollis, Platydytes, Platydytes cooperae, Primospes suturalis, Primospes, Rhantus capensis, Rhantus, Rhantus cicurius, Rhantus concolorans, Sharphydrus capensis, Tikoloshanes eretiformis, Tikoloshanes, Tyndallhydrus caraboides, Tyndallhydrus, Uvarus gschwendtneri, Yola babaulti, Yola dilatata, Yola dohrni, Yola peringueyi, Yola simulantis, Yola swierstrai, Yola tuberculata, Ahaggaria, Ctenelmis discrepans, Ctenelmis, Ctenelmis elegans, Ctenelmis harrisoni, Ctenelmis incerta, Ctenelmis lata, Ctenelmis rufipes, Ctenelmis tibialis, Haplelmis mixta, Helminthocharis cristula, Helminthocharis, Helminthopsis allansoni, Helminthopsis bifida, Helminthopsis ciliata, Helminthopsis elongata, Leielmis georyssoides, Leielmis, Leptelmis fragilis, Microdinodes simoni, Microdinodes transvaalicus, Microdinodes vaalensis, Omotonus notabilis, Pachyelmis amaena, Peloriolus costulatipennis, Peloriolus difficilis, Peloriolus interstitialis, Peloriolus parvulus, Peloriolus patruelis, Peloriolus pilosellus, Potamodytes africanus, Potamodytes brincki, Potamodytes major, Leptelmis major, Protelmis chutteri, Pseudancyronyx humeralis natalensis)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((25.0214 -34.0501,25.5395 -34.1098,25.5395 -32.9007,20.509 -32.9007,20.509 -34.5676,20.524 -34.555,20.8859 -34.5419,20.9606 -34.4398,21.2995 -34.5131,21.5296 -34.4338,21.8696 -34.4439,22.0323 -34.2835,22.221 -34.2428,22.2566 -34.1304,22.5993 -34.0741,22.9652 -34.1674,23.4069 -34.1858,23.4955 -34.0792,23.6056 -34.0563,24.8471 -34.2877,24.9447 -34.2397,25.0214 -34.0501))"
 ]
}

 The dataset includes 32 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021882-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48804/snz5p5
title: Replication Data for: Convolution-Friendly Image Compression with FHE
title: Convolution-Friendly Image Compression with FHE

description: We collected a very small amount of open-access bmp-type images that are frequently used to benchmark basic image processing protocols. Some images were sampled down and/or greyscaled, in order to have test images of multiple dimensions. The images are natural images (photographs), as this is the type of image JPEG was designed for. We used this to time our algorithm for homomorphic (de)compression and homomorphic processing.
DOI: 10.15468/dl.ppkaab
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Calepina irregularis",
 "Country is Denmark",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021884-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3b34db
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (, Pinnularia gibba, Pinnularia rostrata, Pinnularia subcapitata, Pinnularia subgibba, , Pinnularia viridiformis, , Placoneis, Placoneis dicephala, , , Planothidium, Achnanthes engelbrechtii, Planothidium frequentissimum, Pleurocapsa, Pleurosigma, Pleurosigma elongatum, Pleurosigma salinarum, Pleurotaenium, Quadrigula, , Reimeria, Reimeria uniseriata, Rhoicosphenia abbreviata, Rhoicosphenia, , Pyxidicula, Rivularia, Romeria, Roya, Scenedesmus, Scenedesmus quadricauda, Schizothrix, Scourfieldia, Scytonema, Scytonema crispum, Selenastrum, Sellaphora, Sellaphora pupula, Sellaphora seminulum, Sphaerocystis, Spirogyra reinhardii, Spirogyra, , Spirulina, Staurastrum, Staurodesmus, Stauroneis, Stauroneis anceps, , Staurosira construens, Staurosira, Fragilaria elliptica, Staurosirella pinnata, Staurosirella, Surirella, Stephanodiscus, Stephanodiscus agassizensis, Stichosiphon, Stigeoclonium, Stigeoclonium tenue, Stigonema, , Surirella brebissonii, Synechococcus, Tabellaria, Tabellaria flocculosa, Tabularia, Tabularia fasciculata, Tetraedriella, Tetraedron, Thalassiosira weissflogii, Thalassiosira, Tolypothrix, Trachelomonas, Trachelomonas intermedia, Trachelomonas volvocina, Trebouxia, Tribonema vulgare, Tribonema, Trichodesmium, Tryblionella, Tryblionella apiculata, Tryblionella calida, Tryblionella coarctata, Tryblionella hungarica, , Ulothrix, Ulothrix zonata, Zygnema, Zygnema pectinatum, Luticola, Cymbopleura, Achnanthes abundans, Aulacoseira subborealis, Botryococcus, Chlorococcum, Chroococcus minor, Euastrum)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((35.6306 -23.844,35.6007 -23.8125,35.6007 -24.0157,35.6306 -23.844))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021881-250827131500795/datasets/export for details.
DOI: 10.5281/zenodo.17044041
title: Type VI secretion system of Klebsiella genus
DOI: 10.5281/zenodo.17044042
title: Type VI secretion system of Klebsiella genus
DOI: 10.15468/dl.utyk62
title: Occurrence Download

description: A dataset containing 348033 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Plegadis falcinellus",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Geometry POLYGON ((-6.6 29.26705, -6.6 50.94, 40.81373 50.94, 40.81373 29.26705, -6.6 29.26705))",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Observation, Material sample)"
 ]
}

 The dataset includes 348033 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021813-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m6e59n
title: Occurrence Download

description: A dataset containing 9238 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Données Vigie-Chiro protocole Point Fixe"
 ]
}

 The dataset includes 9238 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021885-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16759092
title: POLIZERO - Swiss Policy towards Zero CO2 Emissions compatible with European Decarbonisation Pathways

description: This dataset contains:



the main assumptions used in the energy systems modelling with the JRC-EU-TIMES model regarding the European and Swiss energy transition in the context of the POLIZERO project

the key results from the charts presented in the final report of POLIEZRO

the inventory with major energy and climate policies in EU and Switzerland (as of 2022)
DOI: 10.5281/zenodo.16759091
title: POLIZERO - Swiss Policy towards Zero CO2 Emissions compatible with European Decarbonisation Pathways

description: This dataset contains:



the main assumptions used in the energy systems modelling with the JRC-EU-TIMES model regarding the European and Swiss energy transition in the context of the POLIZERO project

the key results from the charts presented in the final report of POLIEZRO

the inventory with major energy and climate policies in EU and Switzerland (as of 2022)
DOI: 10.15468/dl.j84zgy
title: Occurrence Download

description: A dataset containing 9238 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Données Vigie-Chiro protocole Point Fixe"
 ]
}

 The dataset includes 9238 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021886-250827131500795/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.30041155
title: Ecological security pattern ​of Funiu Mountain area

description: <br><br>This dataset supports the findings of the manuscript <i>"Ecological security pattern construction integrating connectivity-importance-niche approach under vertical zonation: A case study in Funiu Mountain area, China"</i>. It includes both the raw and processed data used to conduct land-use classification, ecological source identification, and ecological security pattern (ESP) construction. Specifically, the dataset contains:Land use/land cover data (2005–2020, 30 m resolution), reclassified into nine categories (paddy field, dryland, closed forestland, shrub, sparse forestland, grassland, water area, construction land, and unused land).Digital Elevation Model (DEM) and slope data (30 m resolution).NDVI, NPP, temperature, and precipitation data (2005–2020).Soil texture and related ecological sensitivity indicators.Nighttime light index and road network data representing human activity intensity.Processed raster and vector layers used for MSPA, MCR modeling, and ecological niche analysis.Outputs of ecological sources, corridors, and nodes under different ESP construction approaches (ESP1–ESP3).All datasets have been standardized to the WGS 1984 coordinate system. These data collectively verify the reproducibility and accuracy of the results reported in the paper.
DOI: 10.6084/m9.figshare.30041155.v1
title: Ecological security pattern ​of Funiu Mountain area

description: <br><br>This dataset supports the findings of the manuscript <i>"Ecological security pattern construction integrating connectivity-importance-niche approach under vertical zonation: A case study in Funiu Mountain area, China"</i>. It includes both the raw and processed data used to conduct land-use classification, ecological source identification, and ecological security pattern (ESP) construction. Specifically, the dataset contains:Land use/land cover data (2005–2020, 30 m resolution), reclassified into nine categories (paddy field, dryland, closed forestland, shrub, sparse forestland, grassland, water area, construction land, and unused land).Digital Elevation Model (DEM) and slope data (30 m resolution).NDVI, NPP, temperature, and precipitation data (2005–2020).Soil texture and related ecological sensitivity indicators.Nighttime light index and road network data representing human activity intensity.Processed raster and vector layers used for MSPA, MCR modeling, and ecological niche analysis.Outputs of ecological sources, corridors, and nodes under different ESP construction approaches (ESP1–ESP3).All datasets have been standardized to the WGS 1984 coordinate system. These data collectively verify the reproducibility and accuracy of the results reported in the paper.