cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.24867609.v1
title: multimodel_analysis_generalist_sp

description: File: multimodel_analysis_generalist_sp (HTML document, R script)<br>Contents overview: Codes and results to perform a multi-model analysis between forest fragmentation, edge density, habitat amount, and landscape heterogeneity for generalist bird diversity. For this analysis, the dataset_multimodel_generalist_sp was used. The result is Figure 02, which was generated from the values of the multimodel but in a different program, the PowerPoint.
DOI: 10.5281/zenodo.10407477
title: Data For "Impact of dust and temperature on primary productivity in Late Miocene oceans"

description: Impact of dust and temperature on primary productivity in Late Miocene oceans

 

This dataset contains marine biogeochemical outputs (NetCDF files) from modeling experiments with realistic late Miocene paleogeography, different CO2 levels and dust concentrations. The simulations focus on the evolution of primary productivity in response to aridification and global cooling. The simulations were carried out using the IPSL-CM5A2 general circulation model (Sepulchre et al. 2020 - IPSL-CM5A2 - an Earth system model designed for multimillennial climate simulations, GMD) and the PISCES-v2 biogeochemistry model (Aumont et al. 2015). It includes four simulations: Mio300Dust (300 ppm, dust concentration equal to pre-industrial level), Mio420Dust2 (420 ppm, dust concentration equal to pre-industrial level divided by 2), Mio420Dust10 (420 ppm, dust concentration equal to pre-industrial level divided by 10) and Mio420NoDust (420 ppm, dust concentration equal to pre-industrial level divided by 1000). The data are monthly averages over the last 100 years of the simulations. 

 

Contact: quentin.pillot@gmail.com

 

Experiments , see Pillot et al. (2024), Methods ans supplementary Informations for details.

 

INTPP : Vertically integrated primary production by phyto (mol/m2/s)

EPC100 : Export of carbon particles at 100 m (mol/m2/s)

LNlight : Light limitation term in Nanophyto (between 0 and 1)

LNnut : Nutrient limitation term in Nanophyto (between 0 and 1)

PPPHY : Primary production of nanophyto (mol/m3/s)

PPPHY2 : Primary production of diatoms (mol/m3/s)

Ndep : Nitrogen deposition from dust (mol/m2/s)

Pdep : Phosphorus deposition from dust (mol/m2/s)

Sidep : Silice deposition from dust (mol/m2/s)

Irondep : Iron deposition from dust (mol/m2/s)

 

Keywords: Late Miocene, marine primary productivity, aridification, dust, CO2, cooling, oceans, modelling, IPSL-CM5A2, PISCES-v2
DOI: 10.6084/m9.figshare.24867576
title: multimodel_analysis_open_area_sp.html

description: File: multimodel_analysis_open_area_sp (HTML document, R script)<br>Contents overview: Codes and results to perform a multi-model analysis between forest fragmentation, edge density, habitat amount, and landscape heterogeneity for open area bird diversity. For this analysis, the dataset_multimodel_open_area_sp dataset was used. The result is Figure 02, which was generated from the values of the multimodel but in a different program, the PowerPoint.
DOI: 10.6084/m9.figshare.24867576.v1
title: multimodel_analysis_open_area_sp.html

description: File: multimodel_analysis_open_area_sp (HTML document, R script)<br>Contents overview: Codes and results to perform a multi-model analysis between forest fragmentation, edge density, habitat amount, and landscape heterogeneity for open area bird diversity. For this analysis, the dataset_multimodel_open_area_sp dataset was used. The result is Figure 02, which was generated from the values of the multimodel but in a different program, the PowerPoint.
DOI: 10.6084/m9.figshare.24867573
title: multimodel_analysis_all_sp.html

description: File: multimodel_analysis_all_sp (HTML document, R script)<br>Contents overview: Codes and results to perform a multi-model analysis between forest fragmentation, edge density, habitat amount, and landscape heterogeneity for all bird species diversity. For this analysis, the dataset_multimodel_all_sp dataset was used. The result is Figure 02, which was generated from the values of the multimodel but in a different program, the PowerPoint.
DOI: 10.6084/m9.figshare.24867573.v1
title: multimodel_analysis_all_sp.html

description: File: multimodel_analysis_all_sp (HTML document, R script)<br>Contents overview: Codes and results to perform a multi-model analysis between forest fragmentation, edge density, habitat amount, and landscape heterogeneity for all bird species diversity. For this analysis, the dataset_multimodel_all_sp dataset was used. The result is Figure 02, which was generated from the values of the multimodel but in a different program, the PowerPoint.
DOI: 10.6084/m9.figshare.24867555
title: gdm_analysis.html

description: File: gdm_analysis (HTML document, R script)<br>Contents overview: Codes and results to perform a generalized dissimilarity modeling (GDM) using geographic distance, forest fragmentation, edge density, habitat amount, and landscape heterogeneity to evaluate the effects of landscape on bird beta diversity in the Caatinga region, Northeast Brazil. Includes code to access the modeling results and graphical representations. The dataset_gdm_predictors and dataset_gdm_species datasets were used. The result is Figure 03.
DOI: 10.6084/m9.figshare.24867528
title: dataset_multimodel_forest_dependent_sp.txt

description: File: dataset_multimodel_forest_dependent_sp (txt file)<br>Contents overview: Survey data on landscape variables and bird diversity (hill numbers) to forest-dependent sampled species in 30 plots between natural and agricultural areas in the Caatinga region, Northeast Brazil. <br>Plot: Sampling units were identified by the three study areas. AL: PPN Faz. Almas; SJ: Estação Experimental de São João do Cariri; SP: Faz. São Paulo dos Dantas.fragmentation: Spatial arrangement metric. Forest fragmentation is expressed by the number of forest fragments per hectare.Densi_borda: Edge density as the linear length of forest cover and woodlands measured in km. habitat_amount: Habitat amount for which we consider the proportion of forest cover and woodlands.Heteroge: Landscape heterogeneity considering the Shannon index of land use (landscape diversity per ha). q0: Representation of the total number of species (species richness). A list of forest-dependent species present is considered.q1: Representation of the species weighted according to their abundance and the number of ‘common’ species in the community. A list of forest-dependent species present is considered.q2: Representation of the abundances squared, giving more weight to dominant species, thus representing the number of ‘dominant’ species in the community. A list of forest-dependent species present is considered.
DOI: 10.6084/m9.figshare.24867528.v1
title: dataset_multimodel_forest_dependent_sp.txt

description: File: dataset_multimodel_forest_dependent_sp (txt file)<br>Contents overview: Survey data on landscape variables and bird diversity (hill numbers) to forest-dependent sampled species in 30 plots between natural and agricultural areas in the Caatinga region, Northeast Brazil. <br>Plot: Sampling units were identified by the three study areas. AL: PPN Faz. Almas; SJ: Estação Experimental de São João do Cariri; SP: Faz. São Paulo dos Dantas.fragmentation: Spatial arrangement metric. Forest fragmentation is expressed by the number of forest fragments per hectare.Densi_borda: Edge density as the linear length of forest cover and woodlands measured in km. habitat_amount: Habitat amount for which we consider the proportion of forest cover and woodlands.Heteroge: Landscape heterogeneity considering the Shannon index of land use (landscape diversity per ha). q0: Representation of the total number of species (species richness). A list of forest-dependent species present is considered.q1: Representation of the species weighted according to their abundance and the number of ‘common’ species in the community. A list of forest-dependent species present is considered.q2: Representation of the abundances squared, giving more weight to dominant species, thus representing the number of ‘dominant’ species in the community. A list of forest-dependent species present is considered.
DOI: 10.6084/m9.figshare.24867516
title: dataset_multimodel_all_sp.txt

description: File: dataset_multimodel_all_sp.txt (txt file)<br>Contents overview: Survey data on landscape variables and bird diversity (hill numbers) to all sampled species in 30 plots between natural and agricultural areas in the Caatinga region, Northeast Brazil. <br>Plot: Sampling units were identified by the three study areas. AL: PPN Faz. Almas; SJ: Estação Experimental de São João do Cariri; SP: Faz. São Paulo dos Dantas.fragmentation: Spatial arrangement metric. Forest fragmentation is expressed by the number of forest fragments per hectare.Densi_borda: edge density as the linear length of forest cover and woodlands measured in km. habitat_amount: habitat amount for which we consider the proportion of forest cover and woodlands.Heteroge: Landscape heterogeneity considering the Shannon index of land use (landscape diversity per ha). q0: Representation of the total number of species (species richness). List of all species presents considered.q1: Representation of the species weighted according to their abundance and the number of ‘common’ species in the community. List of all species present considered.q2: Representation of the abundances squared, giving more weight to dominant species, thus representing the number of ‘dominant’ species in the community. List of all species present considered.
DOI: 10.6084/m9.figshare.24867516.v1
title: dataset_multimodel_all_sp.txt

description: File: dataset_multimodel_all_sp.txt (txt file)<br>Contents overview: Survey data on landscape variables and bird diversity (hill numbers) to all sampled species in 30 plots between natural and agricultural areas in the Caatinga region, Northeast Brazil. <br>Plot: Sampling units were identified by the three study areas. AL: PPN Faz. Almas; SJ: Estação Experimental de São João do Cariri; SP: Faz. São Paulo dos Dantas.fragmentation: Spatial arrangement metric. Forest fragmentation is expressed by the number of forest fragments per hectare.Densi_borda: edge density as the linear length of forest cover and woodlands measured in km. habitat_amount: habitat amount for which we consider the proportion of forest cover and woodlands.Heteroge: Landscape heterogeneity considering the Shannon index of land use (landscape diversity per ha). q0: Representation of the total number of species (species richness). List of all species presents considered.q1: Representation of the species weighted according to their abundance and the number of ‘common’ species in the community. List of all species present considered.q2: Representation of the abundances squared, giving more weight to dominant species, thus representing the number of ‘dominant’ species in the community. List of all species present considered.
DOI: 10.5281/zenodo.10405518
title: Metadata - Perylene-Based Coordination Polymers: Synthesis, Fluorescent J-Aggregates, and Electrochemical Properties
DOI: 10.5281/zenodo.10405519
title: Metadata - Perylene-Based Coordination Polymers: Synthesis, Fluorescent J-Aggregates, and Electrochemical Properties
DOI: 10.5281/zenodo.10407501
title: Metadata - Perylene-Based Coordination Polymers: Synthesis, Fluorescent J-Aggregates, and Electrochemical Properties
DOI: 10.5281/zenodo.10404476
title: Metadata - Tuning the electrochemical performance of covalent organic framework cathodes for Li- and Mg-based batteries: the influence of electrolyte and binder
DOI: 10.5281/zenodo.10404477
title: Metadata - Tuning the electrochemical performance of covalent organic framework cathodes for Li- and Mg-based batteries: the influence of electrolyte and binder
DOI: 10.5281/zenodo.10397581
title: Metadata - Direct C−H Arylation of Dithiophene-Tetrathiafulvalene: Tuneable Electronic Properties and 2D Self-Assembled Molecular Networks at the Solid/Liquid Interface
DOI: 10.5281/zenodo.10397582
title: Metadata - Direct C−H Arylation of Dithiophene-Tetrathiafulvalene: Tuneable Electronic Properties and 2D Self-Assembled Molecular Networks at the Solid/Liquid Interface
DOI: 10.6084/m9.figshare.24867510
title: dataset_multimodel_open_area_sp.txt

description: File: dataset_multimodel_open_area_sp (txt file)<br>Contents overview: Survey data on landscape variables and bird diversity (hill numbers) to open area birds sampled species in 30 plots between natural and agricultural areas in the Caatinga region, Northeast Brazil. <br>Plot: Sampling units were identified by the three study areas. AL: PPN Faz. Almas; SJ: Estação Experimental de São João do Cariri; SP: Faz. São Paulo dos Dantas.fragmentation: Spatial arrangement metric. Forest fragmentation is expressed by the number of forest fragments per hectare.Densi_borda: Edge density as the linear length of forest cover and woodlands measured in km. habitat_amount: Habitat amount for which we consider the proportion of forest cover and woodlands.Heteroge: Landscape heterogeneity considering the Shannon index of land use (landscape diversity per ha). q0: Representation of the total number of species (species richness). A list of open-area birds is considered.q1: Representation of the species weighted according to their abundance and the number of ‘common’ species in the community. A list of open-area birds is considered.q2: Representation of the abundances squared, giving more weight to dominant species, thus representing the number of ‘dominant’ species in the community. A list of open-area birds is considered.
DOI: 10.6084/m9.figshare.24867510.v1
title: dataset_multimodel_open_area_sp.txt

description: File: dataset_multimodel_open_area_sp (txt file)<br>Contents overview: Survey data on landscape variables and bird diversity (hill numbers) to open area birds sampled species in 30 plots between natural and agricultural areas in the Caatinga region, Northeast Brazil. <br>Plot: Sampling units were identified by the three study areas. AL: PPN Faz. Almas; SJ: Estação Experimental de São João do Cariri; SP: Faz. São Paulo dos Dantas.fragmentation: Spatial arrangement metric. Forest fragmentation is expressed by the number of forest fragments per hectare.Densi_borda: Edge density as the linear length of forest cover and woodlands measured in km. habitat_amount: Habitat amount for which we consider the proportion of forest cover and woodlands.Heteroge: Landscape heterogeneity considering the Shannon index of land use (landscape diversity per ha). q0: Representation of the total number of species (species richness). A list of open-area birds is considered.q1: Representation of the species weighted according to their abundance and the number of ‘common’ species in the community. A list of open-area birds is considered.q2: Representation of the abundances squared, giving more weight to dominant species, thus representing the number of ‘dominant’ species in the community. A list of open-area birds is considered.
DOI: 10.6084/m9.figshare.24867411
title: dataset_multimodel_generalist_sp.txt

description: File: dataset_multimodel_generalist_sp (txt file)<br>Contents overview: Survey data on landscape variables and bird diversity (hill numbers) to generalist bird sampled species in 30 plots between natural and agricultural areas in the Caatinga region, Northeast Brazil. <br>Plot: Sampling units were identified by the three study areas. AL: PPN Faz. Almas; SJ: Estação Experimental de São João do Cariri; SP: Faz. São Paulo dos Dantas.fragmentation: Spatial arrangement metric. Forest fragmentation is expressed by the number of forest fragments per hectare.Densi_borda: Edge density as the linear length of forest cover and woodlands measured in km. habitat_amount: Habitat amount for which we consider the proportion of forest cover and woodlands.Heteroge: Landscape heterogeneity considering the Shannon index of land use (landscape diversity per ha). q0: Representation of the total number of species (species richness). A list of generalist birds is considered.q1: Representation of the species weighted according to their abundance and the number of ‘common’ species in the community. A list of generalist birds present is considered.q2: Representation of the abundances squared, giving more weight to dominant species, thus representing the number of ‘dominant’ species in the community. A list of generalist birds present is considered.
DOI: 10.6084/m9.figshare.24867411.v1
title: dataset_multimodel_generalist_sp.txt

description: File: dataset_multimodel_generalist_sp (txt file)<br>Contents overview: Survey data on landscape variables and bird diversity (hill numbers) to generalist bird sampled species in 30 plots between natural and agricultural areas in the Caatinga region, Northeast Brazil. <br>Plot: Sampling units were identified by the three study areas. AL: PPN Faz. Almas; SJ: Estação Experimental de São João do Cariri; SP: Faz. São Paulo dos Dantas.fragmentation: Spatial arrangement metric. Forest fragmentation is expressed by the number of forest fragments per hectare.Densi_borda: Edge density as the linear length of forest cover and woodlands measured in km. habitat_amount: Habitat amount for which we consider the proportion of forest cover and woodlands.Heteroge: Landscape heterogeneity considering the Shannon index of land use (landscape diversity per ha). q0: Representation of the total number of species (species richness). A list of generalist birds is considered.q1: Representation of the species weighted according to their abundance and the number of ‘common’ species in the community. A list of generalist birds present is considered.q2: Representation of the abundances squared, giving more weight to dominant species, thus representing the number of ‘dominant’ species in the community. A list of generalist birds present is considered.
DOI: 10.15139/s3/7gip7d
title: Replication Data for Multi Class Compactness Index for Urban Areas

description: This data contains multiclass compactness index of US counties based on 2016 NLCD dataset.
DOI: 10.5281/zenodo.10407319
title: Towards metadata for machine learning - Crosswalk tables

description: Crosswalks for Machine Learning models and datasets used for training

Here we present a collection of crosswalks for ML models (in TSV and XLSX formats) and datasets used for training (in TSV and XLSX formats). These crosswalks were created during an NFDI4DataScience hackathon organized by the Semantic Technologies team (SemTec) at ZB MED Information Centre for Life Sciences (ZB MED) with the aim of provindg a starting point for a common proposal towards a metadata schema for ML models based on schema.org.

Files



2023.11.23 Metadata for ML - ML dataset Union.tsv: Crosswalks for datasets in TSV format

2023.11.23 Metadata for ML - ML dataset Union.xlsx: Crosswalks for datasets in XLSX format

2023.11.23 Metadata for ML - ML model union.tsv: Crosswalks for ML models in TSV format

2023.11.23 Metadata for ML - ML model union.xlsx: Crosswalks for ML models in XLSX format
DOI: 10.5281/zenodo.10057790
title: Morphology of the excited hydroxyl in the Martian atmosphere: A model study. Where to search for airglow on Mars?

description: The data for Remote Sensing article figures.
DOI: 10.5281/zenodo.10057791
title: Morphology of the excited hydroxyl in the Martian atmosphere: A model study. Where to search for airglow on Mars?

description: The data for Remote Sensing article figures.
DOI: 10.5281/zenodo.10407641
title: Morphology of the excited hydroxyl in the Martian atmosphere: A model study. Where to search for airglow on Mars?

description: The data for Remote Sensing article figures.
DOI: 10.34740/kaggle/dsv/7241042
title: Balochi Language to English Translation Dataset
DOI: 10.5281/zenodo.10407660
title: SegInfoSoS Versão 2.0 - Ontologia para Gestão da Segurança da Informação em Sistemas-de-Sistemas com RDFLib

description: As intensas transformações ocorridas na sociedade nesta década tornaram os sistemas de informação mais complexos. Tal complexidade se relaciona a uma categoria de sistemas definida como sistemas-de-sistemas (SoS). Embora o SoS ofereça benefícios às organizações, a dificuldade dos gestores de Tecnologia da Informação (TI) em lidar com a segurança da informação nesses sistemas pode deixá-los vulneráveis a ameaças e impactos causados por ataques cibernéticos. As ontologias podem ser utilizadas como solução para esse problema porque elas definem estruturas de conhecimento e promovem um entendimento compartilhado de um domínio, tarefa ou aplicação. Nesse sentido, uma ontologia de domínio foi desenvolvida por meio da biblioteca RDFLib em Python para garantir a gestão do conhecimento em segurança em SoS e o seu entendimento compartilhado de modo que os stakeholders, gestores de TI e suas equipes possam evitar os riscos, as vulnerabilidades e as ameaças em SoS. Cabe também destacar a praticidade para a extração das informações da ontologia para utilização em aplicativos de celular, sites, smartwhatches, smartphones e eletrodomésticos da linha smarts, assistentes virtuais como Alexa (Amazon), Siri (Apple), Cortana (Microsoft), ChatGPT, entre outros. Tal utilidade simula querys de Sistemas de Gerenciamento de Banco de Dados para o uso de pequenas e médias empresas. Neste livro é abordado o tema gestão da segurança da informação em SoS por meio de uma ontologia de domínio com foco na sua aplicabilidade para indústria.
DOI: 10.5281/zenodo.10407661
title: SegInfoSoS Versão 2.0 - Ontologia para Gestão da Segurança da Informação em Sistemas-de-Sistemas com RDFLib

description: As intensas transformações ocorridas na sociedade nesta década tornaram os sistemas de informação mais complexos. Tal complexidade se relaciona a uma categoria de sistemas definida como sistemas-de-sistemas (SoS). Embora o SoS ofereça benefícios às organizações, a dificuldade dos gestores de Tecnologia da Informação (TI) em lidar com a segurança da informação nesses sistemas pode deixá-los vulneráveis a ameaças e impactos causados por ataques cibernéticos. As ontologias podem ser utilizadas como solução para esse problema porque elas definem estruturas de conhecimento e promovem um entendimento compartilhado de um domínio, tarefa ou aplicação. Nesse sentido, uma ontologia de domínio foi desenvolvida por meio da biblioteca RDFLib em Python para garantir a gestão do conhecimento em segurança em SoS e o seu entendimento compartilhado de modo que os stakeholders, gestores de TI e suas equipes possam evitar os riscos, as vulnerabilidades e as ameaças em SoS. Cabe também destacar a praticidade para a extração das informações da ontologia para utilização em aplicativos de celular, sites, smartwhatches, smartphones e eletrodomésticos da linha smarts, assistentes virtuais como Alexa (Amazon), Siri (Apple), Cortana (Microsoft), ChatGPT, entre outros. Tal utilidade simula querys de Sistemas de Gerenciamento de Banco de Dados para o uso de pequenas e médias empresas. Neste livro é abordado o tema gestão da segurança da informação em SoS por meio de uma ontologia de domínio com foco na sua aplicabilidade para indústria.
DOI: 10.5281/zenodo.10398113
title: LDSC results of CC4D 2021 + MSigDB (Part 1)
DOI: 10.5281/zenodo.10398114
title: LDSC results of CC4D 2021 + MSigDB (Part 1)