cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.4121/22274980
title: Data underlying the publication: Catchment scale assessment of macroplastic pollution in the Odaw river, Ghana

description: This database is the supplementary material for the scientific paper in preparation: Catchment scale assessment of macroplastic pollution in the Odaw river, Ghana. The database contains the field data of monitored and sampled litter (macroplastics and non plastics) in the river, on land, and at the riverbank at ten locations within the study area over the sampling period ( between 11-23 December, 2021). Since thecounted macroplastic items were categorised into the aggregated macroplastic polymer types, the file also contains the categorisation of the detailed items (River Ospar list ) into the macroplastic polymer types.<br>
DOI: 10.48331/scielo.wsde8f/tdlrvh
title: arturo-garduno-magana_La publicacion de revisiones para la evaluacion abierta.pptx

description: :unav
DOI: 10.4121/22274980.v1
title: Data underlying the publication: Catchment scale assessment of macroplastic pollution in the Odaw river, Ghana

description: This database is the supplementary material for the scientific paper in preparation: Catchment scale assessment of macroplastic pollution in the Odaw river, Ghana. The database contains the field data of monitored and sampled litter (macroplastics and non plastics) in the river, on land, and at the riverbank at ten locations within the study area over the sampling period ( between 11-23 December, 2021). Since thecounted macroplastic items were categorised into the aggregated macroplastic polymer types, the file also contains the categorisation of the detailed items (River Ospar list ) into the macroplastic polymer types.<br>
DOI: 10.48331/scielo.wsde8f
title: La publicación de revisiones para la evaluación abierta

description: Presentación de Arturo Garduño-Magaña en el Seminario SciELO México – SciELO 25 Años: Los preprints y su participación en el ecosistema de la ciencia abierta. Página del evento: https://25.scielo.org/es/seminarios/mexico-preprints/
DOI: 10.48331/scielo.s6lda1/kyjcco
title: araceli_hernandez_morales-los preprints y su participacion en el ecosistema de la ciencia abierta.pptx

description: :unav
DOI: 10.48331/scielo.s6lda1
title: Servidores de Preprints: Aspectos por considerar para su uso e implementación

description: Presentación de Araceli Hernández Morales en el Seminario SciELO México – SciELO 25 Años: Los preprints y su participación en el ecosistema de la ciencia abierta. Página del evento: https://25.scielo.org/es/seminarios/mexico-preprints/
DOI: 10.5281/zenodo.7923612
title: A Corpus of Persian Literary Text

description: A Corpus of Persian Literary Text A corpus of Persian literary text mainly focusing on poetry, covering the 9th to 21st century. Annotated for century and style, with additional partial annotation of rhetorical figures (e.g. metaphor, metonymy, simile, etc.)
DOI: 10.5281/zenodo.7923611
title: A Corpus of Persian Literary Text

description: A Corpus of Persian Literary Text A corpus of Persian literary text mainly focusing on poetry, covering the 9th to 21st century. Annotated for century and style, with additional partial annotation of rhetorical figures (e.g. metaphor, metonymy, simile, etc.)
DOI: 10.34740/kaggle/dsv/5663054
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.5281/zenodo.4745517
title: Results of Numerical Experiments in "A comparison of numerical methods for model reduction of dense discrete-time systems"

description: This package contains supplementary material for the paper: R. Jendersie, S. W. R. Werner; A comparison of numerical methods for model reduction of dense discrete-time systems. The `logfile.txt` in this package contains the output of the experiments run for the afore mentioned paper. For more details see the README.md.
description: Steffen W. R. Werner has been supported by the German Research Foundation (DFG) Research Training Group 2297 "MathCoRe", Magdeburg.
DOI: 10.5281/zenodo.4745518
title: Results of Numerical Experiments in "A comparison of numerical methods for model reduction of dense discrete-time systems"

description: This package contains supplementary material for the paper: R. Jendersie, S. W. R. Werner; A comparison of numerical methods for model reduction of dense discrete-time systems. The `logfile.txt` in this package contains the output of the experiments run for the afore mentioned paper. For more details see the README.md.
description: Steffen W. R. Werner has been supported by the German Research Foundation (DFG) Research Training Group 2297 "MathCoRe", Magdeburg.
DOI: 10.5281/zenodo.4650421
title: Results of Numerical Experiments in "Structure-Preserving Model Reduction for Mechanical Systems"

description: Computation results of the numerical experiments in the PhD Thesis: S. W. R. Werner; Structure-Preserving Model Reduction for Mechanical Systems. The results are ordered with respect to the used benchmark example. The corresponding MATLAB codes for the computations can be found here.
description: This work was supported from October 1, 2016 until September 30, 2019 by the German Research Foundation (DFG) Priority Program 1897: "Calm, Smooth and Smart -- Novel Approaches for Influencing Vibrations by Means of Deliberately Introduced Dissipation". The author has also been associated since April 1, 2017 with the German Research Foundation (DFG) Research Training Group 2297 "Mathematical Complexity Reduction (MathCoRe)", Magdeburg.
DOI: 10.5281/zenodo.4650422
title: Results of Numerical Experiments in "Structure-Preserving Model Reduction for Mechanical Systems"

description: Computation results of the numerical experiments in the PhD Thesis: S. W. R. Werner; Structure-Preserving Model Reduction for Mechanical Systems. The results are ordered with respect to the used benchmark example. The corresponding MATLAB codes for the computations can be found here.
description: This work was supported from October 1, 2016 until September 30, 2019 by the German Research Foundation (DFG) Priority Program 1897: "Calm, Smooth and Smart -- Novel Approaches for Influencing Vibrations by Means of Deliberately Introduced Dissipation". The author has also been associated since April 1, 2017 with the German Research Foundation (DFG) Research Training Group 2297 "Mathematical Complexity Reduction (MathCoRe)", Magdeburg.
DOI: 10.5517/ccdc.csd.cc297lms
title: CCDC 2122465: Experimental Crystal Structure Determination

description: Related Article: Sandeep Kumar Thakur, Mandeep Kaur, Krishna Kumar Manar, Manu Adhikari, Angshuman Roy Choudhury, Sanjay Singh|2022|Chem.-Eur.J.|28|e202202237|doi:10.1002/chem.202202237
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: 10.35078/ewriey
title: Replication Data for: Ficha epidemiológica de localidade: Distrito: Diamantina | Município: Diamantina

description: Levantamento Triatomínico com operações de campo ocorridas em Minas Gerais pela Superintendência de Campanhas de Saúde Pública (SUCAM) e FUNASA (Fundação Nacional de Saúde), no período de 1979 a 1999, objetivando a busca da presença de vetores da doença de Chagas ou de vestígios dessa presença. A partir dela são orientadas as operações com inseticida (pt) Triatomine survey with field operations carried out in Minas Gerais by the Public Health Campaigns Superintendence (SUCAM) and FUNASA (National Health Foundation), from 1979 to 1999, aiming to search for the presence of Chagas disease vectors or traces of that presence. From it, operations with insecticide are guided (en) Encuesta de triatominos con operaciones de campo realizada en Minas Gerais por la Superintendencia de Campañas de Salud Pública (SUCAM) y FUNASA (Fundación Nacional de Salud), de 1979 a 1999, con el objetivo de buscar la presencia de vectores de la enfermedad de Chagas o rastros de esa presencia. Desde ella se orientan las operaciones con insecticida (es)
DOI: 10.6084/m9.figshare.21824580
title: Melt rate time series and bathymetry inversion from Totten Ice Shelf

description: ApRES melt rate time series from the Totten Ice Shelf, sites TI01, TI02, TI04, TI05 and updated bathymetry as published in Vaňková et al. Please cite the following paper if using this data:<br> Vaňková I., J. Paul Winberry, S. Cook, K. W. Nicholls, C. A. Greene, B. K. Galton-Fenzi (2023). High and highly variable basal melting observed at Totten Ice Shelf, East Antarctica. Geophysical Research Letters. https://doi. org/10.1029/2023GL102960. <br> The raw ApRES data are archived at the Australian Antarctic Data Centre: https://data.aad.gov.au/metadata/AAS_4436_Totten_Glacier_ApRES <br> Galton-Fenzi, B. K., S. Cook (2023b), Autonomous phase sensitive radar (ApRES)<br> on Totten Glacier 2016-2019, Ver. 2, Australian Antarctic Data Centre, doi:10.26179/bgnv-4h81. <br> Both bathymetry files have a x (PS71), y(PS71), and bed variable. "totten_bathymetry.nc" is 2km resolution and output of the inversion. "totten_bathymetry_bm.nc" is the 2km inversion results interpolated onto the bedmachine grid. <br> The bathymetry inversion code is provided, in the GravInversion.zip compressed file. <br> ApRES processing code is also included, specifically the first releas from the following repository: https://github.com/irenavankova/ApRES_processing
DOI: 10.6084/m9.figshare.21824580.v5
title: Melt rate time series and bathymetry inversion from Totten Ice Shelf

description: ApRES melt rate time series from the Totten Ice Shelf, sites TI01, TI02, TI04, TI05 and updated bathymetry as published in Vaňková et al. Please cite the following paper if using this data:<br> Vaňková I., J. Paul Winberry, S. Cook, K. W. Nicholls, C. A. Greene, B. K. Galton-Fenzi. High and highly variable basal<br> melting observed at Totten Ice Shelf, East Antarctica. Submitted. <br> The melt rate data will be eventually archived more systematically here: https://data.aad.gov.au/metadata/records/fulldisplay/AAS_4436_Totten_Glacier_ApRES <br> Both bathymetry files have a x (PS71), y(PS71), and bed variable. "totten_bathymetry.nc" is 2km resolution and output of the inversion. "totten_bathymetry_bm.nc" is the 2km inversion results interpolated onto the bedmachine grid. <br> The bathymetry inversion code is also provided, in the GravInversion.zip compressed file.
DOI: 10.6084/m9.figshare.21824580.v6
title: Melt rate time series and bathymetry inversion from Totten Ice Shelf

description: ApRES melt rate time series from the Totten Ice Shelf, sites TI01, TI02, TI04, TI05 and updated bathymetry as published in Vaňková et al. Please cite the following paper if using this data:<br> Vaňková I., J. Paul Winberry, S. Cook, K. W. Nicholls, C. A. Greene, B. K. Galton-Fenzi (2023). High and highly variable basal melting observed at Totten Ice Shelf, East Antarctica. Geophysical Research Letters. https://doi. org/10.1029/2023GL102960. <br> The raw ApRES data are archived at the Australian Antarctic Data Centre: https://data.aad.gov.au/metadata/AAS_4436_Totten_Glacier_ApRES <br> Galton-Fenzi, B. K., S. Cook (2023b), Autonomous phase sensitive radar (ApRES)<br> on Totten Glacier 2016-2019, Ver. 2, Australian Antarctic Data Centre, doi:10.26179/bgnv-4h81. <br> Both bathymetry files have a x (PS71), y(PS71), and bed variable. "totten_bathymetry.nc" is 2km resolution and output of the inversion. "totten_bathymetry_bm.nc" is the 2km inversion results interpolated onto the bedmachine grid. <br> The bathymetry inversion code is provided, in the GravInversion.zip compressed file. <br> ApRES processing code is also included, specifically the first releas from the following repository: https://github.com/irenavankova/ApRES_processing
DOI: 10.5281/zenodo.7924648
title: Effects of fluid saturation and viscosity on seismic dispersion characteristics in Berea sandstone

description: These are the supplementary data files for a paper submitted to the Journal of Geophysical Research (JGR), "Effects of fluid saturation and viscosity on seismic dispersion characteristics in Berea sandstone". The uploaded excel files are the actual datasets of forced-oscillation and ultrasonic measurements. Detailed information is described in the word file. In addition, three Matlab code files used for data analysis are uploaded.
DOI: 10.5281/zenodo.7924647
title: Effects of fluid saturation and viscosity on seismic dispersion characteristics in Berea sandstone

description: These are the supplementary data files for a paper submitted to the Journal of Geophysical Research (JGR), "Effects of fluid saturation and viscosity on seismic dispersion characteristics in Berea sandstone". The uploaded excel files are the actual datasets of forced-oscillation and ultrasonic measurements. Detailed information is described in the word file. In addition, three Matlab code files used for data analysis are uploaded.
DOI: 10.5281/zenodo.7924702
title: MigIntegrEast dataset

description: This dataset includes excerpts from Central Eastern European <strong>city-level legislation related to immigrant integration governance and principal texts produced by non-state actors involved in integration governance (such as websites, press releases, and media statements). The documents were thematically coded in Dedoose software using a coding tree. </strong>
DOI: 10.5281/zenodo.7924701
title: MigIntegrEast dataset

description: This dataset includes excerpts from Central Eastern European <strong>city-level legislation related to immigrant integration governance and principal texts produced by non-state actors involved in integration governance (such as websites, press releases, and media statements). The documents were thematically coded in Dedoose software using a coding tree. </strong>
DOI: 10.5281/zenodo.7923025
title: MUSES Fractional Vegetation Coverage (FVC) 8-Day Global 1km SIN Grid in 2002

description: The MUltiscale Satellite remotE Sensing (MUSES) product suite includes products with different spatial and temporal resolutions for parameters such as Normalized Difference Vegetation Index (NDVI), Near-Infrared Reflectance of Vegetation (NIRv), Leaf Area Index (LAI), Fraction of Absorbed Photosynthetically Active Radiation (FAPAR), Fractional Vegetation Coverage (FVC), Gross Primary Production (GPP), Net Primary Production (NPP). For more information about the MUSES products, please refer to this website (https://muses.bnu.edu.cn/). This dataset is the MUSES global FVC product at 1 km spatial resolution and 8-day temporal resolution. The MUSES FVC product is provided on a Sinusoidal grid and spans from 2000 to 2019 (continuously updated). It was generated from the MUSES LAI product at 1 km resolution and other ancillary information using the complement to unity of the transmittance of light through the entire canopy in the nadir viewing direction (Xiao <em>et al</em>., 2016). The MUSES FVC values are physically consistent with the corresponding MUSES LAI values. The MUSES FVC product is spatially complete and temporally continuous. This dataset is the MUSES FVC product in 2002. <em>Please <strong>click here</strong> to download the MUSES FVC product <strong>in 2001</strong></em>, <em>and <strong>click here</strong> to download the MUSES FVC product <strong>in 2003</strong></em>. <strong>Dataset Characteristics:</strong> Spatial Coverage: Global Temporal Coverage: 2002 Spatial Resolution: 1 km Temporal Resolution: 8 days Projection: Sinusoidal Data Format: HDF Scale: 0.004 Valid Range: 0 – 250 <strong>Citation </strong>(Please cite this paper whenever these data are used)<strong>:</strong> Xiao Zhiqiang, <em>et a</em>l. (2016). Estimating the Fractional Vegetation Cover from GLASS Leaf Area Index Product. <em>Remote Sensing</em>, 8, 337. If you have any questions, please contact Prof. Zhiqiang Xiao (zhqxiao@bnu.edu.cn).
DOI: 10.5281/zenodo.7923024
title: MUSES Fractional Vegetation Coverage (FVC) 8-Day Global 1km SIN Grid in 2002

description: The MUltiscale Satellite remotE Sensing (MUSES) product suite includes products with different spatial and temporal resolutions for parameters such as Normalized Difference Vegetation Index (NDVI), Near-Infrared Reflectance of Vegetation (NIRv), Leaf Area Index (LAI), Fraction of Absorbed Photosynthetically Active Radiation (FAPAR), Fractional Vegetation Coverage (FVC), Gross Primary Production (GPP), Net Primary Production (NPP). For more information about the MUSES products, please refer to this website (https://muses.bnu.edu.cn/). This dataset is the MUSES global FVC product at 1 km spatial resolution and 8-day temporal resolution. The MUSES FVC product is provided on a Sinusoidal grid and spans from 2000 to 2019 (continuously updated). It was generated from the MUSES LAI product at 1 km resolution and other ancillary information using the complement to unity of the transmittance of light through the entire canopy in the nadir viewing direction (Xiao <em>et al</em>., 2016). The MUSES FVC values are physically consistent with the corresponding MUSES LAI values. The MUSES FVC product is spatially complete and temporally continuous. This dataset is the MUSES FVC product in 2002. <em>Please <strong>click here</strong> to download the MUSES FVC product <strong>in 2001</strong></em>, <em>and <strong>click here</strong> to download the MUSES FVC product <strong>in 2003</strong></em>. <strong>Dataset Characteristics:</strong> Spatial Coverage: Global Temporal Coverage: 2002 Spatial Resolution: 1 km Temporal Resolution: 8 days Projection: Sinusoidal Data Format: HDF Scale: 0.004 Valid Range: 0 – 250 <strong>Citation </strong>(Please cite this paper whenever these data are used)<strong>:</strong> Xiao Zhiqiang, <em>et a</em>l. (2016). Estimating the Fractional Vegetation Cover from GLASS Leaf Area Index Product. <em>Remote Sensing</em>, 8, 337. If you have any questions, please contact Prof. Zhiqiang Xiao (zhqxiao@bnu.edu.cn).
DOI: 10.5281/zenodo.7923558
title: Enterosignatures define common bacterial guilds in the human gut microbiome (data)

description: Additional data related to the manuscript <em>Enterosignatures define common bacterial guilds in the human gut microbiome.</em> The deposit contains the following files: GMR_dataset.zip - data and results related to enterosignature computation in the GMR dataset: raw data, enterosignature composition, metabolic potentials of the associated metagenomic species <strong>GMR_dataset</strong><br> ├── NMF_results <em># results of NMF decomposition, from k = 2 signatures to 10, 5 being the optimal number</em><br> │ ├── 10_H.tsv<br> │ ├── ....<br> │ ├── 9_W.tsv<br> │ └── README.txt<br> ├── age_metadata.tsv <em># age of individuals in the GMR dataset</em><br> ├── drama_MGS_gtdbtk_taxonomy.tsv <em># taxonomy of the MGS </em><br> ├── drama_genus_level_abundance.tsv <em># genus-level abundance table used for NMF</em><br> └── metabo_data <em># Metabolic potential of the MGS associated to the enterosignatures</em><br> ├── cazymes_by_genome.tsv <em># cazymes</em><br> ├── gene_numbers.tsv <em># number of genes</em><br> ├── kegg_metabolic_processes_by_genome.tsv <em># Kegg annotations</em><br> ├── level1_onto_metabolites.tsv <em># Metacyc classes of metabolites, highest level</em><br> ├── level2_onto_metabolites.tsv <em># Metacyc classes of metabolites, second level</em><br> ├── metabolic_producers_full_community.tsv <em># predicted producers of metabolites, all genomes considered</em><br> ├── metabolic_producers_withinES.tsv <em># predicted producers of metabolites, within an ES</em><br> └── westerndiet.sbml <em># nutrients considered for metabolic modelling</em> BMIS_dataset.zip - data and results related to enterosignature computation in the BMIS dataset <strong>BMIS_dataset</strong><br> ├── bmis_es_composition.tsv <em># ES assignments of BMIS samples (ES computed on the GMR dataset)</em><br> ├── bmis_es_et_assignments.tsv<em> # ES and enterotype assignments of BMIS samples</em><br> └── bmis_genus-level_abundance.tsv <em># genus-level abundance matrix used for ES abundance computation</em> NonWestern_dataset.zip - data and results related to enterosignature computation in the non-western dataset <strong>NonWestern_dataset</strong><br> ├── nonwestern_es_composition.tsv <em># ES assignments of Non-western samples (ES computed on the GMR dataset)</em><br> └── nonwestern_genus_abundance_normalised.tsv <em># genus-level abundance matrix used for ES abundance computation</em> The data is also available in the following repository:<em> </em>https://gitlab.inria.fr/cfrioux/enterosignature-paper/. See also https://enterosignatures.quadram.ac.uk/.
DOI: 10.5281/zenodo.7923559
title: Enterosignatures define common bacterial guilds in the human gut microbiome (data)

description: Additional data related to the manuscript <em>Enterosignatures define common bacterial guilds in the human gut microbiome.</em> The deposit contains the following files: GMR_dataset.zip - data and results related to enterosignature computation in the GMR dataset: raw data, enterosignature composition, metabolic potentials of the associated metagenomic species <strong>GMR_dataset</strong><br> ├── NMF_results <em># results of NMF decomposition, from k = 2 signatures to 10, 5 being the optimal number</em><br> │ ├── 10_H.tsv<br> │ ├── ....<br> │ ├── 9_W.tsv<br> │ └── README.txt<br> ├── age_metadata.tsv <em># age of individuals in the GMR dataset</em><br> ├── drama_MGS_gtdbtk_taxonomy.tsv <em># taxonomy of the MGS </em><br> ├── drama_genus_level_abundance.tsv <em># genus-level abundance table used for NMF</em><br> └── metabo_data <em># Metabolic potential of the MGS associated to the enterosignatures</em><br> ├── cazymes_by_genome.tsv <em># cazymes</em><br> ├── gene_numbers.tsv <em># number of genes</em><br> ├── kegg_metabolic_processes_by_genome.tsv <em># Kegg annotations</em><br> ├── level1_onto_metabolites.tsv <em># Metacyc classes of metabolites, highest level</em><br> ├── level2_onto_metabolites.tsv <em># Metacyc classes of metabolites, second level</em><br> ├── metabolic_producers_full_community.tsv <em># predicted producers of metabolites, all genomes considered</em><br> ├── metabolic_producers_withinES.tsv <em># predicted producers of metabolites, within an ES</em><br> └── westerndiet.sbml <em># nutrients considered for metabolic modelling</em> BMIS_dataset.zip - data and results related to enterosignature computation in the BMIS dataset <strong>BMIS_dataset</strong><br> ├── bmis_es_composition.tsv <em># ES assignments of BMIS samples (ES computed on the GMR dataset)</em><br> ├── bmis_es_et_assignments.tsv<em> # ES and enterotype assignments of BMIS samples</em><br> └── bmis_genus-level_abundance.tsv <em># genus-level abundance matrix used for ES abundance computation</em> NonWestern_dataset.zip - data and results related to enterosignature computation in the non-western dataset <strong>NonWestern_dataset</strong><br> ├── nonwestern_es_composition.tsv <em># ES assignments of Non-western samples (ES computed on the GMR dataset)</em><br> └── nonwestern_genus_abundance_normalised.tsv <em># genus-level abundance matrix used for ES abundance computation</em> The data is also available in the following repository:<em> </em>https://gitlab.inria.fr/cfrioux/enterosignature-paper/. See also https://enterosignatures.quadram.ac.uk/.
DOI: 10.57745/cyataq
title: CEMOV.tab

description: :unav