cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.20065973.v2
title: Decomposing the stochastic growth rate with nonlinear effects: data and R code

description: Data and R code from publication: Le Coeur, C., Yoccoz, N.G., Salguero-Gomez, R., Vindenes, Y. (accepted). Life history adaptations to fluctuating environments: Combined effects of demographic buffering and labillity, Ecology Letters <br> <strong>Files:</strong> - <strong>DecompositionStochGrowthRate.R: </strong> an R file with code to decompose the stochastic population growth into main components capturing effects of nonlinearity in demographic parameters as a function of an environmental driver z, and effects of variance-covariance among the parameters. Both the analytical and simulation approaches are presented. <br> - <strong>ComadreMPM154.RData:</strong> Selection of age- and stage-structured matrix population models (MPMs) from the COMADRE animal database (v.4.20.5; Salguero-Gomez et al. 2016; https://compadre-db.org/Data/Releases). These MPMs are used as a starting point to our theoretical exploration across generation time, considering different scenarios for effects of the environment z on the demographic parameters. <br>
DOI: 10.18164/e0a0ac5c-d851-45b9-b6d9-4abc29d7d419
title: AMAP SLCF model datasets
title: PSEA PCDV l'ensemble de données des modèles

description: This database contains model output files that were used in the 2021 Arctic Monitoring and Assessment Programme (AMAP) Assessment Report on Short-lived Climate Forcers (SLCFs) and subsequent journal publications. The datasets are stored here: http://crd-data-donnees-rdc.ec.gc.ca/CCCMA/products/AMAP/ Type0 model files are basic historical simulations. Types 1 and 2 are model sensitivity simulations with regionally perturbed emissions and type 3 are future simulations under varying emission scenarios. Please see the file "AMAPdatabaseREADME.xlxs" at the data location for further explanation.
description: La présente base de données contient les fichiers de sortie du modèle utilisés dans le rapport d’évaluation 2021 du Programme de surveillance et d'évaluation de l'Arctique (PSEA) sur les polluants climatiques de courte durée de vie (PCDV) et les articles scientifiques subséquents. Les ensembles de bases de données sont stockés à l’adresse suivante : http://crd-data-donnees-rdc.ec.gc.ca/CCCMA/products/AMAP/ Les fichiers de modèle de type 0 sont des simulations historiques de base. Les types 1 et 2 sont des simulations de sensibilité de modèle avec des émissions perturbées régionalement et les fichiers de type 3 sont des simulations futures selon divers scénarios d’émissions. Veuillez consulter le fichier nommé « AMAPdatabaseREADME.xlxs » à l’emplacement des données pour plus d’explications.
DOI: 10.25403/upresearchdata.20000135
title: Phthalocyanine-metal organic framework sensors

description: This is supplementary material showing limit of detection calculation, elemental analysis, pore size distribution of Metal Organic Frameworks (MOF) composites and the effect of scan rates on 4-chlorophenol oxidation. Compounds were synthesised in the laboratory (experimental) and methods used for characterisation to obtain the data were: Scanning electron microscopy (SEM), Brunaeur-Emmett-Teller (BET) analysis and Cyclic voltammetry (CV).
DOI: 10.25403/upresearchdata.20000135.v1
title: Phthalocyanine-metal organic framework sensors

description: This is supplementary material showing limit of detection calculation, elemental analysis, pore size distribution of Metal Organic Frameworks (MOF) composites and the effect of scan rates on 4-chlorophenol oxidation. Compounds were synthesised in the laboratory (experimental) and methods used for characterisation to obtain the data were: Scanning electron microscopy (SEM), Brunaeur-Emmett-Teller (BET) analysis and Cyclic voltammetry (CV).
DOI: 10.5281/zenodo.6685089
title: Bagroides melapterus decontaminated gx

description: .
DOI: 10.5281/zenodo.6685088
title: Bagroides melapterus decontaminated gx

description: .
DOI: 10.5281/zenodo.6447963
title: Assessing land surface phenology in Araucaria-Nothofagus forests in Chile with Landsat 8/Sentinel-2 time series - Data and Material

description: This dataset contains the Enhanced Vegetation Index (EVI) data used in our research work about land surface phenology of Andean Araucaria-Nothofagus forests as well as the phenology information derived from it. Study area: Conguillío National Park, Chile<br> Study period: 2016-2020 Description of datasets: conguillio.sen2.lnd8.evi.2016.2020.nc - A raster dataset (NetCDF) of EVI values (resolution 10m). EVI was calculated from Level-2 Sentinel-2 and Landsat 8 data. To ensure harmonization, the Landsat 8 data was resampled and reprojected to Sentinel-2 properties prior to the index calculation. evi_gb_beck_white.tif - A raster dataset (GeoTiff) of phenological metrics per year (resolution 10m). Metrics were derived by fitting a double logistic function (see Beck et al., 2006) to the smoothed and interpolated EVI pixel time series. Subsequently, the main phenological variables SOS (start of season) and EOS (end of season) were extracted using a 50% threshold value. The dataset itself is a result of the R package "greenbrown" and the layers are named accordingly (see https://greenbrown.r-forge.r-project.org/phenology.php). It is available as GeoTIFF and as R rasterfile. Details about the methodology and results describing this dataset can be found in the following publication:<br> Kosczor, E., Forkel, M., Hernández, J., Kinalczyk, D., Pirotti, F. & Kutchartt, E., 2022. Assessing land surface phenology in Araucaria-Nothofagus forests in Chile with Landsat 8/Sentinel-2 time series. Int. J. Appl. Earth Obs. Geoinf. 112, 102862. https://doi.org/10.1016/j.jag.2022.102862
description: {"references": ["Kosczor, E., Forkel, M., Hern\u00e1ndez, J., Kinalczyk, D., Pirotti, F. & Kutchartt, E., 2022. Assessing land surface phenology in Araucaria-Nothofagus forests in Chile with Landsat 8/Sentinel-2 time series. Int. J. Appl. Earth Obs. Geoinf. 112, 102862. https://doi.org/10.1016/j.jag.2022.102862"]}
DOI: 10.5281/zenodo.6447962
title: Assessing land surface phenology in Araucaria-Nothofagus forests in Chile with Landsat 8/Sentinel-2 time series - Data and Material

description: This dataset contains the Enhanced Vegetation Index (EVI) data used in our research work about land surface phenology of Andean Araucaria-Nothofagus forests as well as the phenology information derived from it. Study area: Conguillío National Park, Chile<br> Study period: 2016-2020 Description of datasets: conguillio.sen2.lnd8.evi.2016.2020.nc - A raster dataset (NetCDF) of EVI values (resolution 10m). EVI was calculated from Level-2 Sentinel-2 and Landsat 8 data. To ensure harmonization, the Landsat 8 data was resampled and reprojected to Sentinel-2 properties prior to the index calculation. evi_gb_beck_white.tif - A raster dataset (GeoTiff) of phenological metrics per year (resolution 10m). Metrics were derived by fitting a double logistic function (see Beck et al., 2006) to the smoothed and interpolated EVI pixel time series. Subsequently, the main phenological variables SOS (start of season) and EOS (end of season) were extracted using a 50% threshold value. The dataset itself is a result of the R package "greenbrown" and the layers are named accordingly (see https://greenbrown.r-forge.r-project.org/phenology.php). It is available as GeoTIFF and as R rasterfile. Details about the methodology and results describing this dataset can be found in the following publication:<br> Kosczor, E., Forkel, M., Hernández, J., Kinalczyk, D., Pirotti, F. & Kutchartt, E., 2022. Assessing land surface phenology in Araucaria-Nothofagus forests in Chile with Landsat 8/Sentinel-2 time series. Int. J. Appl. Earth Obs. Geoinf. 112, 102862. https://doi.org/10.1016/j.jag.2022.102862
description: {"references": ["Kosczor, E., Forkel, M., Hern\u00e1ndez, J., Kinalczyk, D., Pirotti, F. & Kutchartt, E., 2022. Assessing land surface phenology in Araucaria-Nothofagus forests in Chile with Landsat 8/Sentinel-2 time series. Int. J. Appl. Earth Obs. Geoinf. 112, 102862. https://doi.org/10.1016/j.jag.2022.102862"]}
DOI: 10.5281/zenodo.6685105
title: Arius augustus RB0475 decontaminated gx

description: .
DOI: 10.5281/zenodo.6685104
title: Arius augustus RB0475 decontaminated gx

description: .
DOI: 10.5281/zenodo.6685114
title: Cathorops melanopus decontaminated gx

description: .
DOI: 10.5281/zenodo.6685113
title: Cathorops melanopus decontaminated gx

description: .
DOI: 10.5281/zenodo.6673095
title: Sensing images of Chutou gully during 2019 to 2021

description: We release three sets of sensing images, which were obtained on 7 February 2019, 26 February 2020, and 12 March 2021, in Chutou gully, , Miansi Town, Wenchuan County, Sichuan Province, Southwestern China. These UAV images both can be viewed and edited in ENVI software.
DOI: 10.5281/zenodo.6673094
title: Sensing images of Chutou gully during 2019 to 2021

description: We release three sets of sensing images, which were obtained on 7 February 2019, 26 February 2020, and 12 March 2021, in Chutou gully, , Miansi Town, Wenchuan County, Sichuan Province, Southwestern China. These UAV images both can be viewed and edited in ENVI software.
DOI: 10.6084/m9.figshare.16850071
title: Pangenome database for 28 Allorhizobium genome dataset

description: The pangenome analysis was conducted using the Pantagruel pipeline under the default settings as described previously (Lassalle et al., 2019, Lassalle et al., 2021) and on the program webpage http://github.com/flass/pantagruel/. Because of computationally highly intensive tasks, the dataset analyzed was limited to the <i>Allorhizobium</i> genus and <i>Rhizobium aggregatum </i>complex (total of 28 strains).<br>This is the SQLite 3 database containing all information about genes in genomes and their classification into homologous gene families and orthologous sub-families, based on gene tree/species tree reconciliation.<br>
DOI: 10.6084/m9.figshare.16850071.v1
title: Pangenome database for 28 Allorhizobium genome dataset

description: The pangenome analysis was conducted using the Pantagruel pipeline under the default settings as described previously (Lassalle et al., 2019, Lassalle et al., 2021) and on the program webpage http://github.com/flass/pantagruel/. Because of computationally highly intensive tasks, the dataset analyzed was limited to the <i>Allorhizobium</i> genus and <i>Rhizobium aggregatum </i>complex (total of 28 strains).<br>This is the SQLite 3 database containing all information about genes in genomes and their classification into homologous gene families and orthologous sub-families, based on gene tree/species tree reconciliation.<br>
DOI: 10.6084/m9.figshare.16849165
title: Gene tree/Species tree reconciliation-based orthology assignment in 28 Allorhizobium dataset

description: The Pantagruel pipeline was used to infer evolutionary events like gene duplication, horizontal transfer and loss, for each gene family of the 28-species pangenome with at least four sequences by reconciling the topology of gene trees with the reference species tree (core genome tree) in a probabilistic framework. Thus, genes were classified into orthologous clusters based on the gain/loss scenarios, from which clade-specific gene sets were identified. Genes specific for a particular clade (species or genus) were identified from the orthologous gene count matrix output of Pantagruel task 08, using the R script get_clade_specific_genes.r from the Pantagruel package.
DOI: 10.6084/m9.figshare.16849165.v1
title: Gene tree/Species tree reconciliation-based orthology assignment in 28 Allorhizobium dataset

description: The Pantagruel pipeline was used to infer evolutionary events like gene duplication, horizontal transfer and loss, for each gene family of the 28-species pangenome with at least four sequences by reconciling the topology of gene trees with the reference species tree (core genome tree) in a probabilistic framework. Thus, genes were classified into orthologous clusters based on the gain/loss scenarios, from which clade-specific gene sets were identified. Genes specific for a particular clade (species or genus) were identified from the orthologous gene count matrix output of Pantagruel task 08, using the R script get_clade_specific_genes.r from the Pantagruel package.
DOI: 10.5281/zenodo.6685131
title: Uncommon Commons? Creative Commons licencing in Horizon 2020 Data Management Plans

description: As policies, good practices and funder mandates on research data management evolve, more emphasis has been put on the licencing of data. Licencing information allow potential re-users to quickly identify what they can do with the data in question and is therefore an important component to ensure the reusability of research. In my research I analyse a pre-existing collection of 840 Horizon 2020 public data management plans (DMPs) available on the repository of the University of Vienna, Phaidra,, to determine which ones mention creative commons licences and among those who do, what licences are being used. This excel file contains the data underlying the publication "Uncommon Commons? Creative Commons licencing in Horizon 2020 Data Management Plans ". Sheet 1 contains the data collected in the previous "Data Re-Use" project: 840 DMPs downloaded from CORDIS and vetted to ensure they are public documents and not copyrighted Sheet 2 contains the same data as sheet 1, with columns D to Q not visible (for better reading) but an added column R which now contains the CC licening information (where available) Sheet 3 is filtered so that only the projects containing CC BY relevant licencing are shown Sheet 4 is filtered so that only the projects containing CC-BY-SA relevant licencing are shown Sheet 5 is filtered so that only the projects containing CC-BY-NC relevant licencing are shown Sheet 6 is filtered so that only the projects containing CC-BY-ND relevant licencing are shown Sheet 7 is filtered so that only the projects containing Cc-BY-NC-ND relevant licencing are shown Sheet 8 is filtered so that only the projects containing CC-BY-NC-SA relevant licencing are shown Sheet 9 is filtered so that only the projects containing CC0 relevant information are shown Sheet 10 provides an overview table of the relevant licences (manual entry) Sheet 11 and 12 contain graphic visulations of the data as used in the article
description: Presentation see https://zenodo.org/record/6646433#.YrMYoXZBwxU
DOI: 10.5281/zenodo.6685130
title: Uncommon Commons? Creative Commons licencing in Horizon 2020 Data Management Plans

description: As policies, good practices and funder mandates on research data management evolve, more emphasis has been put on the licencing of data. Licencing information allow potential re-users to quickly identify what they can do with the data in question and is therefore an important component to ensure the reusability of research. In my research I analyse a pre-existing collection of 840 Horizon 2020 public data management plans (DMPs) available on the repository of the University of Vienna, Phaidra,, to determine which ones mention creative commons licences and among those who do, what licences are being used. This excel file contains the data underlying the publication "Uncommon Commons? Creative Commons licencing in Horizon 2020 Data Management Plans ". Sheet 1 contains the data collected in the previous "Data Re-Use" project: 840 DMPs downloaded from CORDIS and vetted to ensure they are public documents and not copyrighted Sheet 2 contains the same data as sheet 1, with columns D to Q not visible (for better reading) but an added column R which now contains the CC licening information (where available) Sheet 3 is filtered so that only the projects containing CC BY relevant licencing are shown Sheet 4 is filtered so that only the projects containing CC-BY-SA relevant licencing are shown Sheet 5 is filtered so that only the projects containing CC-BY-NC relevant licencing are shown Sheet 6 is filtered so that only the projects containing CC-BY-ND relevant licencing are shown Sheet 7 is filtered so that only the projects containing Cc-BY-NC-ND relevant licencing are shown Sheet 8 is filtered so that only the projects containing CC-BY-NC-SA relevant licencing are shown Sheet 9 is filtered so that only the projects containing CC0 relevant information are shown Sheet 10 provides an overview table of the relevant licences (manual entry) Sheet 11 and 12 contain graphic visulations of the data as used in the article
description: Presentation see https://zenodo.org/record/6646433#.YrMYoXZBwxU
DOI: 10.17632/yn5rbmsj9x.1
title: A joint-ParB interface promotes Smc DNA recruitment

description: Raw data files for viability spotting assays, ChIP-qPCR, in-vivo cross-linking and microscopy images. Data pertaining to a paper investigating the interaction of Smc and ParB in B. subtilis.
DOI: 10.17632/fptspfsx2f.3
title: Validation instrument of  employability competences

description: Validation instrument for judges.
Validation of indicators for  employability competences
DOI: 10.17632/4r33dvzckm.2
title: BC_mtDNA-CN_RTL_2022

description: qPCR results for peripheral blood mtDNA-CN and RTL from a breast cancer case-control study in Jakarta, Indonesia
DOI: 10.17632/bprwjnbn3j.2
title: Validation of rubrics of evaluation for the development of the teaching digital competence

description: Instrumento de evaluación de las rúbricas de las  e-Actividades relacionados con el modelo de la competencia digital docente (INTEF, 2017)
DOI: 10.17637/rh.16838008
title: Accompanying data for 'Information about conservation status is more important than species appearance in species preferences of potential conservation donors'.

description: Data and experimental design which accompany the publication Papworth and Curtin (2022) Information about conservation status is more important than species appearance in species preferences of potential conservation donors. <em>Environmental Conservation</em>. A total of seven files. Two files of source data for " Information about conservation status is more important than species appearance in species preferences of potential conservation donors" (‘DCE results experiment 1.csv’, ‘DCE results experiment 2.csv’). Also included are the three experimental designs required to analyse the surveys in the R package 'support.CEs' (Design experiment 1.csv’, ‘Design experiment 2 imaginary animals.csv’, ‘Design experiment 2 real animals.csv’). Properties of the datasets and experimental design files are described in 'Properties of experiment 1 design and data.txt' and 'Properties of experiment 2 design and data.txt'.
DOI: 10.17637/rh.16838008.v1
title: Accompanying data for 'Information about conservation status is more important than species appearance in species preferences of potential conservation donors'.

description: Data and experimental design which accompany the publication Papworth and Curtin (2022) Information about conservation status is more important than species appearance in species preferences of potential conservation donors. <em>Environmental Conservation</em>. A total of seven files. Two files of source data for " Information about conservation status is more important than species appearance in species preferences of potential conservation donors" (‘DCE results experiment 1.csv’, ‘DCE results experiment 2.csv’). Also included are the three experimental designs required to analyse the surveys in the R package 'support.CEs' (Design experiment 1.csv’, ‘Design experiment 2 imaginary animals.csv’, ‘Design experiment 2 real animals.csv’). Properties of the datasets and experimental design files are described in 'Properties of experiment 1 design and data.txt' and 'Properties of experiment 2 design and data.txt'.
DOI: 10.17632/5nbpnt3wdd.1
title: Data for: Kitchen cloths: Consumer practices, drying properties and bacterial growth and survival 

description: The enclosed excel file contains raw data for the publication:
Trond Møretrø, Valérie Lengard Almli, Anette Wold Åsli, Charlotte Kummen, Martina Galler, Solveig Langsrud,
Kitchen cloths: Consumer practices, drying properties and bacterial growth and survival,
Food Control,2022,109195,ISSN 0956-7135, https://doi.org/10.1016/j.foodcont.2022.109195.

The excel file contains sheets with names that refer to figures and tables in the manuscript listed above
DOI: 10.17637/rh.20073782
title: Raw data for Grainge et al - IJMS 2022.xlsx

description: Raw data for Grainge et al (2022) IJMS. <em>23</em>(12), 6709
DOI: 10.15156/bio/sh0946683.10fu
title: SH0946683.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15468/dl.wyjxmn
title: Occurrence Download

description: A dataset containing 12345 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Chamaecrista mimosoides (L.) Greene"
 ]
}

 The dataset includes 12345 records from 225 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0100919-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0946684.10fu
title: SH0946684.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.