cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.22002/3vhvb-jd263
title: Rhodobacter 1558 lyse ficoll

description: Rhodobacter sphaeroides JPA 1558 lysed with crowding agents
description: <strong>Tilt Series Date:</strong> 2013-09-26</p>
<strong>Data Taken By:</strong> Ariane Briegel</p>
<strong>Species / Specimen:</strong> Rhodobacter sphaeroides</p>
<strong>Strain:</strong> ATCC 17023</p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-60.0°, 60.0°), step: 1°, constant angular increment, dosage: 160.0 eV/Å²,  defocus: -12.0 μm,  magnification: 22500x. </p>
<strong>Microscope:</strong> Caltech Polara</p>
<strong>Acquisition Software:</strong> UCSFTomo</p>
<strong>Upload Method:</strong> pipeline</p>
<strong>Processing Software Used:</strong> Raptor</p>
<strong>Collaborators and Roles:</strong> Judy Armitage</p>
<strong>Purification / Growth Conditions / Treatment:</strong> Spun down for 10' at 5100 rpm. Resuspended pellets in 5 mL PEG-Trehalose-Ficoll-Sucrose-Tris-HCl buffer (7.5% PEG 8000, 4% Trehalose, 20% Sucrose, 25 mM Tris-HCl pH 7.0,10% Ficoll)    * 2.14 mL PEG 8000   * 1 mL Trehalose   * 2 g Sucrose   * 1 g Ficoll   * Q.S. 10 mL 25 mM Tris-HCl, pH 7.0Note:  Ficoll didn't go into solution after 4 hours, so spun down and used aqueous phase.  In future, try less Ficoll?Add 500 µL of 50 mg/mL lysozyme stock (make fresh, in 10 mM Tris-HCl, pH 8.0) for a final concentration of 5 mg/mL Incubate 15' at room temperature Add 28 µL of magnesium chloride, 3.3 µL of calcium chloride, and 5.5 µL of DNase IIncubate 30' at 37 degrees Celsius Spin down for 10' at 5100 rpm.Resuspend with gentle pipetting in 200 µL K-phosphate-PEG-Trehalose-Sucrose buffer (7.5% PEG-8000, 4% Trehalose, 20% Sucrose, 5 mM K-phosphate buffer)    * 2.14 mL PEG 8000   * 1 mL Trehalose   * 2 g Sucrose   * Q.S. 10 mL 5 mM K-phosphate buffer, pH 7.0 9/17/13:  Seems to work well.  Good spheroplast formation, and intact clusters.Freeze grids in grid box "Waldo Ficoll"</p>
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/aba2013-09-26-5/rawdata/</p>Waldo22mag160dose0005.mrc,  Tilt Series (Pixel Size 0.48 nm), 3.4 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/aba2013-09-26-5/rawdata/Waldo22mag160dose0005.mrc"
        > <i class="download icon"></i> Download </a></p>
DOI: 10.6084/m9.figshare.28691633
title: Can Feedback on CO<sub>2</sub> Emissions Motivate Pro-Environmental Behavior? An Online Intervention

description: The role of knowledge in the motivation to act pro-environmentally is controversial. The key to leveraging knowledge for pro-environmental behaviors may lie in the type of knowledge that is conveyed and the novelty of the knowledge for the audience. We conducted an online intervention study (N = 208) with a within-participants pre-post measurement design. We assessed the effect of information about the carbon footprint of behaviors, while accounting for previous knowledge. The results of a multi-level analysis revealed that the intervention had a positive effect on intentions for those behaviors for which participants had gravely underestimated the impact of the unsustainable behavior: Heating and consumption of goods and services. Further, analyses for heating showed an effect of previous knowledge about the behavior’s carbon footprint on the intervention success. The results suggest that knowledge-based interventions focussing on effectiveness knowledge can work, but depend on the previous knowledge of the audience.
DOI: 10.6084/m9.figshare.28691633.v1
title: Can Feedback on CO<sub>2</sub> Emissions Motivate Pro-Environmental Behavior? An Online Intervention

description: The role of knowledge in the motivation to act pro-environmentally is controversial. The key to leveraging knowledge for pro-environmental behaviors may lie in the type of knowledge that is conveyed and the novelty of the knowledge for the audience. We conducted an online intervention study (N = 208) with a within-participants pre-post measurement design. We assessed the effect of information about the carbon footprint of behaviors, while accounting for previous knowledge. The results of a multi-level analysis revealed that the intervention had a positive effect on intentions for those behaviors for which participants had gravely underestimated the impact of the unsustainable behavior: Heating and consumption of goods and services. Further, analyses for heating showed an effect of previous knowledge about the behavior’s carbon footprint on the intervention success. The results suggest that knowledge-based interventions focussing on effectiveness knowledge can work, but depend on the previous knowledge of the audience.
DOI: 10.22002/ev9d8-1vg90
title: Rhodobacter 1558 lyse ficoll

description: Rhodobacter sphaeroides JPA 1558 lysed with crowding agents
description: <strong>Tilt Series Date:</strong> 2013-09-26</p>
<strong>Data Taken By:</strong> Ariane Briegel</p>
<strong>Species / Specimen:</strong> Rhodobacter sphaeroides</p>
<strong>Strain:</strong> ATCC 17023</p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-60.0°, 60.0°), step: 1°, constant angular increment, dosage: 160.0 eV/Å²,  defocus: -12.0 μm,  magnification: 22500x. </p>
<strong>Microscope:</strong> Caltech Polara</p>
<strong>Acquisition Software:</strong> UCSFTomo</p>
<strong>Upload Method:</strong> pipeline</p>
<strong>Processing Software Used:</strong> Raptor</p>
<strong>Collaborators and Roles:</strong> Judy Armitage</p>
<strong>Purification / Growth Conditions / Treatment:</strong> Spun down for 10' at 5100 rpm. Resuspended pellets in 5 mL PEG-Trehalose-Ficoll-Sucrose-Tris-HCl buffer (7.5% PEG 8000, 4% Trehalose, 20% Sucrose, 25 mM Tris-HCl pH 7.0,10% Ficoll)    * 2.14 mL PEG 8000   * 1 mL Trehalose   * 2 g Sucrose   * 1 g Ficoll   * Q.S. 10 mL 25 mM Tris-HCl, pH 7.0Note:  Ficoll didn't go into solution after 4 hours, so spun down and used aqueous phase.  In future, try less Ficoll?Add 500 µL of 50 mg/mL lysozyme stock (make fresh, in 10 mM Tris-HCl, pH 8.0) for a final concentration of 5 mg/mL Incubate 15' at room temperature Add 28 µL of magnesium chloride, 3.3 µL of calcium chloride, and 5.5 µL of DNase IIncubate 30' at 37 degrees Celsius Spin down for 10' at 5100 rpm.Resuspend with gentle pipetting in 200 µL K-phosphate-PEG-Trehalose-Sucrose buffer (7.5% PEG-8000, 4% Trehalose, 20% Sucrose, 5 mM K-phosphate buffer)    * 2.14 mL PEG 8000   * 1 mL Trehalose   * 2 g Sucrose   * Q.S. 10 mL 5 mM K-phosphate buffer, pH 7.0 9/17/13:  Seems to work well.  Good spheroplast formation, and intact clusters.Freeze grids in grid box "Waldo Ficoll"</p>
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/aba2013-09-26-9/rawdata/</p>Waldo22mag160dose0009.mrc,  Tilt Series (Pixel Size 0.48 nm), 3.4 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/aba2013-09-26-9/rawdata/Waldo22mag160dose0009.mrc"
        > <i class="download icon"></i> Download </a></p>
DOI: 10.22002/wcge9-vye46
title: Rhodobacter 1558 lyse ficoll

description: Rhodobacter sphaeroides JPA 1558 lysed with crowding agents
description: <strong>Tilt Series Date:</strong> 2013-09-26</p>
<strong>Data Taken By:</strong> Ariane Briegel</p>
<strong>Species / Specimen:</strong> Rhodobacter sphaeroides</p>
<strong>Strain:</strong> ATCC 17023</p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-60.0°, 60.0°), step: 1°, constant angular increment, dosage: 160.0 eV/Å²,  defocus: -12.0 μm,  magnification: 22500x. </p>
<strong>Microscope:</strong> Caltech Polara</p>
<strong>Acquisition Software:</strong> UCSFTomo</p>
<strong>Upload Method:</strong> pipeline</p>
<strong>Processing Software Used:</strong> Raptor</p>
<strong>Collaborators and Roles:</strong> Judy Armitage</p>
<strong>Purification / Growth Conditions / Treatment:</strong> Spun down for 10' at 5100 rpm. Resuspended pellets in 5 mL PEG-Trehalose-Ficoll-Sucrose-Tris-HCl buffer (7.5% PEG 8000, 4% Trehalose, 20% Sucrose, 25 mM Tris-HCl pH 7.0,10% Ficoll)    * 2.14 mL PEG 8000   * 1 mL Trehalose   * 2 g Sucrose   * 1 g Ficoll   * Q.S. 10 mL 25 mM Tris-HCl, pH 7.0Note:  Ficoll didn't go into solution after 4 hours, so spun down and used aqueous phase.  In future, try less Ficoll?Add 500 µL of 50 mg/mL lysozyme stock (make fresh, in 10 mM Tris-HCl, pH 8.0) for a final concentration of 5 mg/mL Incubate 15' at room temperature Add 28 µL of magnesium chloride, 3.3 µL of calcium chloride, and 5.5 µL of DNase IIncubate 30' at 37 degrees Celsius Spin down for 10' at 5100 rpm.Resuspend with gentle pipetting in 200 µL K-phosphate-PEG-Trehalose-Sucrose buffer (7.5% PEG-8000, 4% Trehalose, 20% Sucrose, 5 mM K-phosphate buffer)    * 2.14 mL PEG 8000   * 1 mL Trehalose   * 2 g Sucrose   * Q.S. 10 mL 5 mM K-phosphate buffer, pH 7.0 9/17/13:  Seems to work well.  Good spheroplast formation, and intact clusters.Freeze grids in grid box "Waldo Ficoll"</p>
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/aba2013-09-26-4/rawdata/</p>Waldo22mag160dose0004.mrc,  Tilt Series (Pixel Size 0.48 nm), 3.4 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/aba2013-09-26-4/rawdata/Waldo22mag160dose0004.mrc"
        > <i class="download icon"></i> Download </a></p>
DOI: 10.60656/36b30f42bfae416f
title: Custom collection of disdrometer data from Hyytiälä between 1 Jan 2014 and 31 Dec 2024
DOI: 10.22002/2zq15-a0x46
title: Rhodobacter 1558 lyse ficoll

description: Rhodobacter sphaeroides JPA 1558 lysed with crowding agents
description: <strong>Tilt Series Date:</strong> 2013-09-26</p>
<strong>Data Taken By:</strong> Ariane Briegel</p>
<strong>Species / Specimen:</strong> Rhodobacter sphaeroides</p>
<strong>Strain:</strong> ATCC 17023</p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-60.0°, 60.0°), step: 1°, constant angular increment, dosage: 160.0 eV/Å²,  defocus: -12.0 μm,  magnification: 22500x. </p>
<strong>Microscope:</strong> Caltech Polara</p>
<strong>Acquisition Software:</strong> UCSFTomo</p>
<strong>Upload Method:</strong> pipeline</p>
<strong>Processing Software Used:</strong> Raptor</p>
<strong>Collaborators and Roles:</strong> Judy Armitage</p>
<strong>Purification / Growth Conditions / Treatment:</strong> Spun down for 10' at 5100 rpm. Resuspended pellets in 5 mL PEG-Trehalose-Ficoll-Sucrose-Tris-HCl buffer (7.5% PEG 8000, 4% Trehalose, 20% Sucrose, 25 mM Tris-HCl pH 7.0,10% Ficoll)    * 2.14 mL PEG 8000   * 1 mL Trehalose   * 2 g Sucrose   * 1 g Ficoll   * Q.S. 10 mL 25 mM Tris-HCl, pH 7.0Note:  Ficoll didn't go into solution after 4 hours, so spun down and used aqueous phase.  In future, try less Ficoll?Add 500 µL of 50 mg/mL lysozyme stock (make fresh, in 10 mM Tris-HCl, pH 8.0) for a final concentration of 5 mg/mL Incubate 15' at room temperature Add 28 µL of magnesium chloride, 3.3 µL of calcium chloride, and 5.5 µL of DNase IIncubate 30' at 37 degrees Celsius Spin down for 10' at 5100 rpm.Resuspend with gentle pipetting in 200 µL K-phosphate-PEG-Trehalose-Sucrose buffer (7.5% PEG-8000, 4% Trehalose, 20% Sucrose, 5 mM K-phosphate buffer)    * 2.14 mL PEG 8000   * 1 mL Trehalose   * 2 g Sucrose   * Q.S. 10 mL 5 mM K-phosphate buffer, pH 7.0 9/17/13:  Seems to work well.  Good spheroplast formation, and intact clusters.Freeze grids in grid box "Waldo Ficoll"</p>
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/aba2013-09-26-8/rawdata/</p>Waldo22mag160dose0008.mrc,  Tilt Series (Pixel Size 0.48 nm), 3.4 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/aba2013-09-26-8/rawdata/Waldo22mag160dose0008.mrc"
        > <i class="download icon"></i> Download </a></p>
DOI: 10.15468/dl.7mfbzb
title: Occurrence Download

description: A dataset containing 47 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Culex torrentium",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year is 2020"
 ]
}

 The dataset includes 47 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006634-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gbb5ar
title: Occurrence Download

description: A dataset containing 2292 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Schistocerca gregaria"
 ]
}

 The dataset includes 2292 records from 53 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006628-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k38st6
title: Occurrence Download

description: A dataset containing 8803 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aedes albopictus",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year is 2020"
 ]
}

 The dataset includes 8803 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006631-250827131500795/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.30009172.v1
title: Allegro-OAM-L-0.1-2025-08-26-kappa-103-FIRE-dist=0.05-fmax=0.0001-symprec=1e-05.json.gz

description: SRME predictions
DOI: 10.6084/m9.figshare.30009172
title: Allegro-OAM-L-0.1-2025-08-26-kappa-103-FIRE-dist=0.05-fmax=0.0001-symprec=1e-05.json.gz

description: SRME predictions
DOI: 10.15468/dl.ys725h
title: Occurrence Download

description: A dataset containing 26521 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Alchemilla mollis"
 ]
}

 The dataset includes 26521 records from 217 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006633-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6awknn
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Chiloglanis carnosus, Chiloglanis congicus, Chiloglanis deckenii, Chiloglanis devosi, Chiloglanis dialloi, Chiloglanis disneyi, Chiloglanis elisabethianus, Chiloglanis emarginatus, Chiloglanis fasciatus, Chiloglanis harbinger, Chiloglanis kabaensis, Chiloglanis kalambo, Chiloglanis kerioensis, Chiloglanis kolente, Chiloglanis lamottei, Chiloglanis loffabrevum, Chiloglanis longibarbis, Chiloglanis lufirae, Chiloglanis lukugae, Chiloglanis macropterus, Chiloglanis marlieri, Chiloglanis mbozi, Chiloglanis microps, Chiloglanis modjensis, Chiloglanis mongoensis, Chiloglanis neumanni, Chiloglanis niger, Chiloglanis niloticus, Chiloglanis normani, Chiloglanis nzerekore, Chiloglanis occidentalis, Chiloglanis paratus, Chiloglanis pezoldi, Chiloglanis pojeri, Chiloglanis polyodon, Chiloglanis polypogon, Chiloglanis pretoriae, Chiloglanis reticulatus, Chiloglanis rukwaensis, Chiloglanis ruziziensis, Chiloglanis sanagaensis, Chiloglanis sardinhai, Chiloglanis somereni, Chiloglanis swierstrai, Chiloglanis trilobatus, Chiloglanis tweddlei, Chiloglanis voltae, Chiloglanis waterloti, Chilotilapia euchilus, Chilotilapia rhoadesii, Chindongo ater, Chindongo bellicosus, Chindongo cyaneus, Chindongo demasoni, Chindongo flavus, Chindongo heteropictus, Maylandia heteropicta, Chindongo longior, Chindongo minutus, Chindongo saulosi, Chromidotilapia cavalliensis, Chromidotilapia elongata, Chromidotilapia guntheri, Chromidotilapia kingsleyae, Chromidotilapia linkei, Chromidotilapia mamonekenei, Chromidotilapia melaniae, Chromidotilapia mrac, Chromidotilapia nana, Chromidotilapia regani, Chromidotilapia schoutedeni, Chrysichthys aluuensis, Chrysichthys ansorgii, Chrysichthys auratus, Chrysichthys bocagii, Chrysichthys brachynema, Chrysichthys brevibarbis, Chrysichthys cranchii, Chrysichthys dageti, Chrysichthys delhezi, Chrysichthys dendrophorus, Chrysichthys duttoni, Chrysichthys furcatus, Chrysichthys nigrodigitatus, Chrysichthys grandis, Chrysichthys graueri, Chrysichthys habereri, Chrysichthys helicophagus, Chrysichthys hildae, Chrysichthys johnelsi, Chrysichthys laticeps, Chrysichthys levequei, Chrysichthys longibarbis, Chrysichthys longidorsalis, Chrysichthys longipinnis, Chrysichthys mabusi, Chrysichthys macropterus, Chrysichthys maurus, Chrysichthys nyongensis)",
 "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 ((37.1 -47.075,37.1382 -47.1134,37.1382 -46.9324,37.1 -47.075))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006635-250827131500795/datasets/export for details.
DOI: 10.5281/zenodo.16992378
title: SLIM Social Science_Supplementary Material
DOI: 10.5281/zenodo.16992379
title: SLIM Social Science_Supplementary Material
DOI: 10.5281/zenodo.16979958
title: Data for Optimal transitions between non-equilibrium steady states

description: This Dataset is organized in order to fit the figures presented in the paper "Optimal transitions between non-equilibriumsteady states" published in PNAS. For each figure a seperate data folder is provided, except for Fig 3 and 5 for which the data for both is included in the folder named after Fig 3.In These folders the raw and some post-processed data is included. Further in the evaluation folder in a similar structure the scripts used to evaluate the raw data and further processed datasets are provided. Additionaly a short cookbook in each subfolder gives a short overview of the purpose and outcome of each individual scirpts.
DOI: 10.5281/zenodo.16979959
title: Data for Optimal transitions between non-equilibrium steady states

description: This Dataset is organized in order to fit the figures presented in the paper "Optimal transitions between non-equilibriumsteady states" published in PNAS. For each figure a seperate data folder is provided, except for Fig 3 and 5 for which the data for both is included in the folder named after Fig 3.In These folders the raw and some post-processed data is included. Further in the evaluation folder in a similar structure the scripts used to evaluate the raw data and further processed datasets are provided. Additionaly a short cookbook in each subfolder gives a short overview of the purpose and outcome of each individual scirpts.
DOI: 10.15468/dl.29hxag
title: Occurrence Download

description: A dataset containing 8848 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Living Specimen, Specimen, Fossil, Material sample)"
 ]
 }
 },
 "TaxonKey is Zostera noltii",
 "Year is greater than or equal to 1970"
 ]
}

 The dataset includes 8848 records from 120 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006636-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16992328
title: Spatiotemporal changes in precipitation concentration in the Atlantic-European region

description: This study analyzed the main changes in the concentration of daily precipitation totals in the Atlantic-European region in 1961–1990 and 1991–2020. Precipitation concentration was characterized by the Gini index (GI), which measures unevenness in precipitation temporal distribution. GI was calculated from ERA5 reanalysis for individual seasons of the year. A comparison of the mean GI distribution and its trends in two 30-year periods showed a gradual expansion of areas with increasing precipitation concentration over Europe since 1961. Areas with statistically significant GI increases occurred more frequently in the Mediterranean (winter, summer) and western and central Europe (spring). Trend analysis revealed a significant GI increase in parts of central (spring, summer) and eastern (all seasons except winter) Europe in 1991–2020. Significant rising trends appeared in coastal areas near the Iberian Peninsula (autumn) and along the coast of northern Scandinavia (winter). Although areas with significant trends did not exceed 10% of the Atlantic-European region, these areas show apparent seasonality and dependence on the studied period. Precipitation concentration shows prevailing significant negative relationships with precipitation totals, and especially with the number of precipitation days, for much of mainland Europe. While the areas of significant correlations decrease in the case of precipitation totals, they increase in the case of the number of precipitation days. Comparison of changes in precipitation concentration derived from ERA5 with those calculated from the E-OBS database shows generally higher GI mean and lower GI variability for E-OBS. However, areas with significant changes between the study periods and significant trends are in excellent agreement for both datasets.
DOI: 10.5281/zenodo.16992329
title: Spatiotemporal changes in precipitation concentration in the Atlantic-European region

description: This study analyzed the main changes in the concentration of daily precipitation totals in the Atlantic-European region in 1961–1990 and 1991–2020. Precipitation concentration was characterized by the Gini index (GI), which measures unevenness in precipitation temporal distribution. GI was calculated from ERA5 reanalysis for individual seasons of the year. A comparison of the mean GI distribution and its trends in two 30-year periods showed a gradual expansion of areas with increasing precipitation concentration over Europe since 1961. Areas with statistically significant GI increases occurred more frequently in the Mediterranean (winter, summer) and western and central Europe (spring). Trend analysis revealed a significant GI increase in parts of central (spring, summer) and eastern (all seasons except winter) Europe in 1991–2020. Significant rising trends appeared in coastal areas near the Iberian Peninsula (autumn) and along the coast of northern Scandinavia (winter). Although areas with significant trends did not exceed 10% of the Atlantic-European region, these areas show apparent seasonality and dependence on the studied period. Precipitation concentration shows prevailing significant negative relationships with precipitation totals, and especially with the number of precipitation days, for much of mainland Europe. While the areas of significant correlations decrease in the case of precipitation totals, they increase in the case of the number of precipitation days. Comparison of changes in precipitation concentration derived from ERA5 with those calculated from the E-OBS database shows generally higher GI mean and lower GI variability for E-OBS. However, areas with significant changes between the study periods and significant trends are in excellent agreement for both datasets.
DOI: 10.15468/dl.vbeefy
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Culex torrentium",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year is 2000"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006637-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.