cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.13951147
title: Map of SESs/STs Bundles for Estonian agricultural land

description: The internal EJP SOIL project SERENA contributed to the evaluation of soil multifunctionality aiming at providing assessment tools for land planning and soil policies at different scales. By co-working with relevant stakeholders, the project provided co-developed indicators and associated cookbooks to assess and map them, to report both on soil degradation, soil-based ecosystem services and their bundles, under actual conditions and for climate and land-use changes, at the regional, national, and European scales.

This map is the outcome of applying a bundles cookbook developed in SERENA based on soil threats (ST) SOC loss and erosion potential and soil ecosystem service (SES) biomass production. The resulting bundles are clusters of SESs/STs where the intra-cluster variability is lower than the inter-cluster variability in the mean values of the selected SESs/STs to identify the bundles. The generated map of SESs/STs Bundles for Estonian agricultural land is at the resolution of 100m. The input data for the cookbook was the Map of soil organic carbon loss of mineral soils in Estonia ; Soil water erosion potential in agricultural soils modelled by USLE, and primary biomass production.
DOI: 10.5281/zenodo.13986640
title: Map of soil organic carbon loss of mineral soils in Estonia
title: SERENA/EJP SOIL cookbook application

description: The internal EJP SOIL project SERENA contributed to the evaluation of soil multifunctionality aiming at providing assessment tools for land planning and soil policies at different scales. By co-working with relevant stakeholders, the project provided co-developed indicators and associated cookbooks to assess and map them, to report both on soil degradation, soil-based ecosystem services and their bundles, under actual conditions and for climate and land-use changes, at the regional, national, and European scales.

The map was generated to evaluate soil organic carbon (SOC) loss in Estonian agricultural soils. It is directly related to SERENA project WP3, T3.2, D3.3 with the aim of applying cookbooks to assess soil threats or ecosystem services. This map is the outcome of applying a cookbook developed by ISRIC (Genova, G., Poggio, L., Kempen, B., & Colman, B. DSM Workflow Seedling. ISRIC - World Soil Information. https://doi.org/10.17027/ISRIC-FSX2-2691).

The generated map of SOC loss expressed as absolute sequestration rate (t C ha-1 a-1) between 2015 and 2021 is in GEOTIFF format at the resolution of 100m. The input data for the cookbook was from the PANDA database, which contains regular soil monitoring and voluntary soil sampling data by farmers in Estonia. To achieve the aim for accounting SOC loss in agricultural soils temporal pairs were selected resulting in 1037 paired points where the interval between second sampling was more than 5 years. SOC stocks were calculated for the depth of 20 cm using the equation by Adams (1973) to calculate soil bulk density. The calculated SOC stock for time0 and time2 (> 5 years resampled locations) were used as input points for digital soil mapping, that is the ISRIC cookbook. 
description: The data are derived from the calculation of indicators based on a standard methodology established as part of the EJP Soil SERENA programme. Please keep in mind that:

· It is the result of a modelling exercise and does not necessarily reflect reality.

· Despite the efforts made to provide reliable data, the results may contain inconsistencies, depending in particular on the raw data available and level of accuracy of the techniques chosen and their prior knowledge.

· It is necessary to consider how the results have been obtained in order to decide on their relevance in relation to the intended purpose of reuse.

· These results are interesting from a scientific point of view, but their use for environmental management and policy issues should be done keeping the previous aspects in mind and complementing when necessary the provided results with the best available data.

Finally, it is the responsibility of the users of this information to decide whether it is appropriate to use these data and whether the data meet their needs. The authors of this resource can in no way be held responsible for the results obtained from the use of this data.
DOI: 10.5281/zenodo.13986639
title: Map of soil organic carbon loss of mineral soils in Estonia
title: SERENA/EJP SOIL cookbook application

description: The internal EJP SOIL project SERENA contributed to the evaluation of soil multifunctionality aiming at providing assessment tools for land planning and soil policies at different scales. By co-working with relevant stakeholders, the project provided co-developed indicators and associated cookbooks to assess and map them, to report both on soil degradation, soil-based ecosystem services and their bundles, under actual conditions and for climate and land-use changes, at the regional, national, and European scales.

The map was generated to evaluate soil organic carbon (SOC) loss in Estonian agricultural soils. It is directly related to SERENA project WP3, T3.2, D3.3 with the aim of applying cookbooks to assess soil threats or ecosystem services. This map is the outcome of applying a cookbook developed by ISRIC (Genova, G., Poggio, L., Kempen, B., & Colman, B. DSM Workflow Seedling. ISRIC - World Soil Information. https://doi.org/10.17027/ISRIC-FSX2-2691).

The generated map of SOC loss expressed as absolute sequestration rate (t C ha-1 a-1) between 2015 and 2021 is in GEOTIFF format at the resolution of 100m. The input data for the cookbook was from the PANDA database, which contains regular soil monitoring and voluntary soil sampling data by farmers in Estonia. To achieve the aim for accounting SOC loss in agricultural soils temporal pairs were selected resulting in 1037 paired points where the interval between second sampling was more than 5 years. SOC stocks were calculated for the depth of 20 cm using the equation by Adams (1973) to calculate soil bulk density. The calculated SOC stock for time0 and time2 (> 5 years resampled locations) were used as input points for digital soil mapping, that is the ISRIC cookbook. 
description: The data are derived from the calculation of indicators based on a standard methodology established as part of the EJP Soil SERENA programme. Please keep in mind that:

· It is the result of a modelling exercise and does not necessarily reflect reality.

· Despite the efforts made to provide reliable data, the results may contain inconsistencies, depending in particular on the raw data available and level of accuracy of the techniques chosen and their prior knowledge.

· It is necessary to consider how the results have been obtained in order to decide on their relevance in relation to the intended purpose of reuse.

· These results are interesting from a scientific point of view, but their use for environmental management and policy issues should be done keeping the previous aspects in mind and complementing when necessary the provided results with the best available data.

Finally, it is the responsibility of the users of this information to decide whether it is appropriate to use these data and whether the data meet their needs. The authors of this resource can in no way be held responsible for the results obtained from the use of this data.
DOI: 10.15468/dl.xbase9
title: Occurrence Download

description: A dataset containing 227689 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is EOD – eBird Observation Dataset",
 "Geometry POLYGON((3 43,7 43,7 51,3 51,3 43))",
 "Issue is Continent derived from coordinates",
 "OccurrenceStatus is Present",
 "TaxonKey is Aves",
 "Year 2020-2020"
 ]
}

 The dataset includes 227689 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002341-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dy57ze
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Chroococcus planctonicus Bethge"
 ]
}

 The dataset includes 14 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002354-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.upcnrd
title: Occurrence Download

description: A dataset containing 20 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Chroococcus prescottii F.E.Drouet & W.A.Daily"
 ]
}

 The dataset includes 20 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002355-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9asm83
title: Occurrence Download

description: A dataset containing 75083 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Rhododendron ferrugineum L., Rhododendron ferrugineum L., Azalea ferruginea (L.) Kuntze, Chamaerhododendron ferrugineum (L.) Bubani, Plinthochroma ferrugineum (L.) Dulac, Plinthocroma ferrugineum (L.) Dulac, Rhododendron ferrugineum f. albiflorum (Thürlings) Braun-Blanq., Rhododendron ferrugineum f. albiflorum Rhiner, Rhododendron ferrugineum f. album (D.Don) Zabel, Rhododendron ferrugineum f. atrococcineum (Bean) Rehder, Rhododendron ferrugineum f. erectum (Millais) Rehder, Rhododendron ferrugineum f. plenum Rehder, Rhododendron ferrugineum f. variegatum (Bean) Rehder, Rhododendron ferrugineum subsp. ferrugineum, Rhododendron ferrugineum var. albiflorum Brügger, Rhododendron ferrugineum var. albiflorum DC., Rhododendron ferrugineum var. album D.Don, Rhododendron ferrugineum var. atrococcineum Bean, Rhododendron ferrugineum var. erectum Millais, Rhododendron ferrugineum var. variegatum Bean, Rhododendron germanicum var. ferrugineum (L.) Hoppe)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Continent is Europe",
 "Year is greater than or equal to 1900",
 "Year is less than or equal to 2024",
 "Month is greater than or equal to January",
 "Month is less than or equal to September"
 ]
}

 The dataset includes 75083 records from 239 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002353-241024112534372/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.27303644
title: Supplementary Material from Are testosterone pulses a physiological mechanism for expanding activity beyond territories?

description: Spectral_male.csv
DOI: 10.6084/m9.figshare.27303644.v1
title: Supplementary Material from Are testosterone pulses a physiological mechanism for expanding activity beyond territories?

description: Spectral_male.csv
DOI: 10.5517/ccdc.csd.cc28by1m
title: CCDC 2095880: Experimental Crystal Structure Determination

description: Related Article: Heng Lu, Ruo-Xuan Xiao, Chang-Yun Shi, Zi-Lan Song, Hou-Wen Lin, Ao Zhang|2022|Communications Chemistry|5|78|doi:10.1038/s42004-022-00694-4
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.6084/m9.figshare.27303647.v1
title: The distance mice travelled post injection from Are testosterone pulses a physiological mechanism for expanding activity beyond territories?

description: distance.csv
DOI: 10.6084/m9.figshare.27303647
title: The distance mice travelled post injection from Are testosterone pulses a physiological mechanism for expanding activity beyond territories?

description: distance.csv
DOI: 10.6084/m9.figshare.27303650
title: Spectral and temporal characteristics of mouse calls from Are testosterone pulses a physiological mechanism for expanding activity beyond territories?

description: context.csv
DOI: 10.6084/m9.figshare.27303650.v1
title: Spectral and temporal characteristics of mouse calls from Are testosterone pulses a physiological mechanism for expanding activity beyond territories?

description: context.csv
DOI: 10.6084/m9.figshare.27303653
title: Supplementary Material from Are testosterone pulses a physiological mechanism for expanding activity beyond territories?

description: telemetry_female.csv
DOI: 10.6084/m9.figshare.27303653.v1
title: Supplementary Material from Are testosterone pulses a physiological mechanism for expanding activity beyond territories?

description: telemetry_female.csv
DOI: 10.6084/m9.figshare.27303656
title: Supplementary Material from Are testosterone pulses a physiological mechanism for expanding activity beyond territories?

description: Spectral_female.csv
DOI: 10.6084/m9.figshare.27303656.v1
title: Supplementary Material from Are testosterone pulses a physiological mechanism for expanding activity beyond territories?

description: Spectral_female.csv
DOI: 10.6084/m9.figshare.27303662
title: Supplementary Material from Are testosterone pulses a physiological mechanism for expanding activity beyond territories?

description: T_bound.R
DOI: 10.6084/m9.figshare.27303662.v1
title: Supplementary Material from Are testosterone pulses a physiological mechanism for expanding activity beyond territories?

description: T_bound.R
DOI: 10.15468/dl.w25bhj
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Chroococcus refractus Woods"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002357-241024112534372/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.27303665
title: Radio telemetry data which shows time spent at the territory boundary from Are testosterone pulses a physiological mechanism for expanding activity beyond territories?

description: telemetry.csv
DOI: 10.6084/m9.figshare.27303668.v1
title: Call production by mice at the territory boundary from Are testosterone pulses a physiological mechanism for expanding activity beyond territories?

description: Models.xlsx
DOI: 10.6084/m9.figshare.27303668
title: Call production by mice at the territory boundary from Are testosterone pulses a physiological mechanism for expanding activity beyond territories?

description: Models.xlsx
DOI: 10.6084/m9.figshare.27303671
title: Supplementary Material from Are testosterone pulses a physiological mechanism for expanding activity beyond territories?

description: usv.csv
DOI: 10.6084/m9.figshare.27303671.v1
title: Supplementary Material from Are testosterone pulses a physiological mechanism for expanding activity beyond territories?

description: usv.csv
DOI: 10.6084/m9.figshare.27303665.v1
title: Radio telemetry data which shows time spent at the territory boundary from Are testosterone pulses a physiological mechanism for expanding activity beyond territories?

description: telemetry.csv
DOI: 10.25921/800j-vn07
title: WMO Climatological Standard Normals for 1991-2020 (NCEI Accession 0253808)

description: The World Meteorological Organization (WMO) Climatological Standard Normals are a large suite of data products that provide information about typical climate conditions for thousands of locations across the world. Normals act both as a ruler to compare today’s weather and tomorrow’s forecast, and as a predictor of conditions on a calendar basis. The Normals are calculated for a uniform 30-year period, and consist of monthly averages and statistics of temperature, precipitation, and other climatological variables observed in all member countries. Member countries follow a standard set of methods for performing these calculations, WMO No.1203. The Normals are generated every 10 years in keeping with the needs of our users and the requirements of the WMO. These data allow travelers to pack the right clothes, farmers to plant the best crop varieties, and utilities to plan for seasonal energy usage. Many other important economic decisions that are made beyond the predictive range of standard weather forecasts are either based on or influenced by climate Normals. Finally, they are used most commonly in broadcast meteorology. These valuable data are stored by the World Data Center for Meteorology - Asheville.
DOI: 10.15468/dl.3xtdjc
title: Occurrence Download

description: A dataset containing 54830 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cladophora glomerata (L.) Kütz."
 ]
}

 The dataset includes 54830 records from 150 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002356-241024112534372/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.27303674
title: Source code, protocol, and Input/Output data. from Towards an information theoretic framework for MSA sub-sampling

description: Source code, protocol, and Input/Output data described in the manuscript. Here is the description of individual files in the zip: 1. File name: Outlier_index.c Legend/Caption: Source code of the program generated experimental data in the manuscript. 2. File name: PROTOCOL.txt Legend/Caption: Description of the experimental protocol 3. File name: tRNA_Mix_ThreeStructures Legend/Caption: Input MSA with 80 sequences fold to Structure A1, 15 sequences fold to Structure A2, and 5 sequences fold to Structure A3 4. File name: tRNA_Pure_Iteration_1.fa Legend/Caption: Remainder sequences when the first iteration process halts. 5. File name: tRNA_Removed_iteration_1 Legend/Caption: Removed sequences when the first iteration process halts. 6. File name: tRNA_Pure_iteration_2 Legend/Caption: Remainder sequences when the second iteration process halts. 7. File name: tRNA_Removed_iteration_2 Legend/Caption: Removed sequences when the second iteration process halts. 8. File name: tdev_threemix.csv Legend/Caption: Standard deviations of Q(x) in the first iteration 9. File name: stdev_threemix_ita2.csv Legend/Caption: Standard deviations of Q(x) in the second iteration 10. File name: removal_threemix.csv Legend/Caption: Sequence labels of sequential row removal in the first iteration 11. File name: removal_threemix_ita2.csv Legend/Caption: Sequence labels of sequential row removal in the second iteration
DOI: 10.6084/m9.figshare.27303674.v1
title: Source code, protocol, and Input/Output data. from Towards an information theoretic framework for MSA sub-sampling

description: Source code, protocol, and Input/Output data described in the manuscript. Here is the description of individual files in the zip: 1. File name: Outlier_index.c Legend/Caption: Source code of the program generated experimental data in the manuscript. 2. File name: PROTOCOL.txt Legend/Caption: Description of the experimental protocol 3. File name: tRNA_Mix_ThreeStructures Legend/Caption: Input MSA with 80 sequences fold to Structure A1, 15 sequences fold to Structure A2, and 5 sequences fold to Structure A3 4. File name: tRNA_Pure_Iteration_1.fa Legend/Caption: Remainder sequences when the first iteration process halts. 5. File name: tRNA_Removed_iteration_1 Legend/Caption: Removed sequences when the first iteration process halts. 6. File name: tRNA_Pure_iteration_2 Legend/Caption: Remainder sequences when the second iteration process halts. 7. File name: tRNA_Removed_iteration_2 Legend/Caption: Removed sequences when the second iteration process halts. 8. File name: tdev_threemix.csv Legend/Caption: Standard deviations of Q(x) in the first iteration 9. File name: stdev_threemix_ita2.csv Legend/Caption: Standard deviations of Q(x) in the second iteration 10. File name: removal_threemix.csv Legend/Caption: Sequence labels of sequential row removal in the first iteration 11. File name: removal_threemix_ita2.csv Legend/Caption: Sequence labels of sequential row removal in the second iteration
DOI: 10.15468/dl.kna54f
title: Occurrence Download

description: A dataset containing 44 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Chroococcus rufescens (Kütz.) Nägeli"
 ]
}

 The dataset includes 44 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002358-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6hz3rt
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Chroococcus schizodermaticus W.West"
 ]
}

 The dataset includes 7 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002360-241024112534372/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.27292140
title: Stress responsive glycosylphosphatidylinositol-anchored protein SsGSP1 contributes to <i>Sclerotinia sclerotiorum</i> virulence

description: Fungal cell wall acts as a defense barrier, shielding the cell from varying environmental stresses. Cell wall proteins, such as glycosylphosphatidylinositol (GPI)-anchored proteins, are involved in swift and appropriate responses to minor environmental changes in fungi. However, the roles of these proteins in the pathogenic <i>Sclerotinia sclerotiorum</i> remain largely unexplored. Here, we identified a novel GPI-anchored protein in<i> S. sclerotiorum</i>, SsGSP1, comprising a Kre9_KNH domain. <i>SsGSP1</i> was upregulated during infection, and the loss-of-function mutants of <i>SsGSP1</i> exhibited the compromised cell wall integrity and reduced β-glucan content. During inoculation on <i>Arabidopsis thaliana</i>, <i>Nicotiana benthamiana</i>, and <i>Brassica napus</i>, the <i>SsGSP1</i>-deletion strains demonstrated the decreased virulence. The transgenic<i> A</i>.<i> thaliana</i> line carrying the sRNA targeting <i>SsGSP1</i> enhanced resistance to <i>S. sclerotiorum</i> via Host-Induced Gene Silencing (HIGS). The <i>SsGSP1</i>-deficient strains displayed the heightened sensitivity to various stresses, including osmotic pressure, oxidative stress, and heat shock. The yeast two-hybrid and BiFC assays confirmed that SsGSP1 interacted with the key stress-related proteins catalase SsCat2, heat shock protein Sshsp60, and ABC transporter SsBMR1. Accordingly, transcriptome analysis revealed that the disruption of <i>SsGSP1</i> downregulated the expression of genes involved in oxidative stress response, heat shock response, and chemical agent resistance. These results collectively delineate the intricate role of GPI-anchored protein SsGSP1 in β-glucan, cell wall integrity and virulence, and may act as a potential surface sensor to elicit signal transduction in response to environmental stresses in<i> S. sclerotiorum</i>.
DOI: 10.15468/dl.yhcssj
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Chroococcus sonorensis Drouet & Daily, 1942"
 ]
}

 The dataset includes 7 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002361-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.