cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.27604398
title: <b>Past, current and future of three of </b><b><i>Fonsecaea </i></b><b>agents of human chromoblastomycosis</b> Supplementary Materials

description: The epidemiology of the<i>Fonsecaea</i>etiologic agents of human chromoblastomycosis is investigated. Haplotype networks based on ribosomal and mitochondrial genes show significant diversity, in part associated with geographical distance.<i>Fonsecaea nubica,</i>which is hypothesized to have an African origin, showed the largest diversity and was interpreted as being ancestral. On the basis of 13 mitochondrial genes, the origin of the pathogenic strains was estimated at 40 Kya. The phylogeny of the pathogenic clade of<i>Fonsecaea</i>was linked to human population movements out of Africa and colonization of the Americas. Analysis of mating type suggests a prevalently clonal reproductive mode, with preponderance of MAT-1-1 mating type and occasional occurrence of truncated MAT-1-2 and well as fusion products which may not be functional. A detected virulence factor shared by the<i>Fonsecaea</i>species potentially causing deep infection was aSOCE-associated regulatory factor of calcium homeostasis, playing a role in extremotolerance. Slight differences in climatic preference of the species were noted, which enabled prediction of the suitable areas for each species and suggests a possible increase in the distribution of these pathogens in the future under a scenario of climate change.
DOI: 10.34740/kaggle/dsv/9802399
title: Public Opinion on Climate Change (Updated Daily)
DOI: 10.5517/ccdc.csd.cc2hpmwq
title: CCDC 2314704: Experimental Crystal Structure Determination

description: Related Article: Basree, Waris, Arif Ali, Nishat Khan, Mohammad Zain Khan, Ganesh Chandra Nayak, Kafeel Ahmad Siddiqui, Musheer Ahmad|2024|Mat.Advs.|5|8265|doi:10.1039/D4MA00762J
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: 10.5517/ccdc.csd.cc2kbfr3
title: CCDC 2363525: Experimental Crystal Structure Determination

description: Related Article: Ryoji Tanaka|2024|CSD Communication|||
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: 10.5517/ccdc.csd.cc2kbg7m
title: CCDC 2363540: Experimental Crystal Structure Determination

description: Related Article: Ryoji Tanaka|2024|CSD Communication|||
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: 10.5517/ccdc.csd.cc2kblvc
title: CCDC 2363683: Experimental Crystal Structure Determination

description: Related Article: Ryoji Tanaka|2024|CSD Communication|||
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: 10.5517/ccdc.csd.cc2kgpmc
title: CCDC 2367613: Experimental Crystal Structure Determination

description: Related Article: Ryoji Tanaka|2024|CSD Communication|||
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: 10.5517/ccdc.csd.cc2kgpqg
title: CCDC 2367616: Experimental Crystal Structure Determination

description: Related Article: Ryoji Tanaka|2024|CSD Communication|||
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: 10.5517/ccdc.csd.cc2khlsg
title: CCDC 2368486: Experimental Crystal Structure Determination

description: Related Article: Ryoji Tanaka|2024|CSD Communication|||
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: 10.25345/c5hd7p47d
title: MassIVE MSV000096283 - LC-MS/MS data of Tinospora cordifolia
title: Tinospora cordifolia has been used for thousands of years to treat various health conditions, including neurodegenerative diseases. The study aimed to elucidate the mechanism of action and protein targets of T. cordifolia in the context of Alzheimers disease through untargeted metabolomics and network pharmacology. LC-MS/MS analysis resulted in 1186 metabolites, including known bioactive compounds such as liquiritin, Plastoquinone 3, and Shoyuflavone A, to name a few. The network pharmacology analysis highlighted the metabolite-protein interaction with the enrichment of 591 human proteins, including neurotransmitter receptors and other regulatory proteins. Pathway analysis highlighted the enrichment of cAMP, mTOR, MAPK, and PI3K-Akt signaling pathways along with cholinergic, dopaminergic, serotonergic, glutamatergic synapse, and apoptosis. The docking results suggest that T. cordifolia metabolites could interact with key Alzheimer's disease targets BACE1 and MAO-B, suggesting its role in neuroprotection. These findings provide insights into the biochemical pathways underlying T. cordifolia's therapeutic effects and provides a foundation for future exploration of T. cordifolia in the context of translational research.
DOI: 10.5281/zenodo.13919722
title: Database of  anisotropic dynamic and static mechanical properties of shales in both dry and saturated conditions
DOI: 10.5281/zenodo.13919721
title: Database
DOI: 10.5281/zenodo.14034184
title: Database
DOI: 10.5518/970
title: Data summary of 34 meander-belt cases simulated by PB-SAND model

description: Data summary of 34 meander-belt cases simulated by PB-SAND model, including preservation ratio for different architectural hierarchies (accretion package pairs, accretion stages and meander belts), their accumulation time, accretion rate, and platform characteristics (apex rotation, channel sinuosity, and migration angle).
DOI: 10.18150/w8qhmq
title: Data for publication entitled “N-doped graphene quantum dot-decorated MOF-derived yolk-shell ZnO/NiO hybrids to boost lithium and sodium ion battery performance”

description: Research data that was used to create the publication entitled N-doped graphene quantum dot-decorated MOF-derived yolk-shell ZnO/NiO hybrids to boost lithium and sodium ion battery performance”.All necessary information regarding equipment and methodology is provided in the Readme files. The .zip files contain source files that can be opened with publicly available document and image processing programs (Microsoft Word/Excel, Notes, OriginLab, Libre Office Calc, Photo Gallery).
DOI: 10.5281/zenodo.13828227
title: EBAII n1 scRNAseq : 10X PBMC10K Cell Ranger 3 matrices

description: A public dataset created and provided by 10X Genomics, that consists in ~ 10,000 PBMC (peripheral bone marrow cells) from a human donor

The experiment was performed with the 3’ capture kit v3

The analysis was performed with Cell Ranger v3

Mapping was performed on the GRCh38-2020-A manufacturer reference
DOI: 10.5281/zenodo.13835533
title: EBAII n1 scRNAseq : 10X PBMC10K Cell Ranger 3 matrices

description: A public dataset created and provided by 10X Genomics, that consists in ~ 10,000 PBMC (peripheral bone marrow cells) from a human donor

The experiment was performed with the 3’ capture kit v3

The analysis was performed with Cell Ranger v3

Mapping was performed on the GRCh38-2020-A manufacturer reference

For educational purpose (speed), the dataset columns were reduced to 1/5th (from 737280 to 147456 barcodes)
DOI: 10.5281/zenodo.13835539
title: EBAII n1 scRNAseq : 10X PBMC10K Cell Ranger 3 matrices

description: A public dataset created and provided by 10X Genomics, that consists in ~ 10,000 PBMC (peripheral bone marrow cells) from a human donor

The experiment was performed with the 3’ capture kit v3

The analysis was performed with Cell Ranger v3

Mapping was performed on the GRCh38-2020-A manufacturer reference

For educational purpose (speed), the dataset columns were reduced to 1/5th (from 737280 to 147456 barcodes)
DOI: 10.5281/zenodo.14034038
title: EBAII n1 scRNAseq : 10X PBMC10K Cell Ranger 3 matrices

description: A public dataset created and provided by 10X Genomics, that consists in ~ 10,000 PBMC (peripheral bone marrow cells) from a human donor

The experiment was performed with the 3’ capture kit v3

The analysis was performed with Cell Ranger v3

Mapping was performed on the GRCh38-2020-A manufacturer reference

For educational purpose (speed), the dataset columns were reduced to 1/5th (from 737280 to 147456 barcodes)
DOI: 10.5281/zenodo.14034133
title: EBAII n1 scRNAseq : 10X PBMC10K Cell Ranger v3

description: A public dataset created and provided by 10X Genomics, that consists in ~ 10,000 PBMC (peripheral bone marrow cells) from a human donor

The experiment was performed with the 3’ capture kit v3

The analysis was performed with Cell Ranger v3

Mapping was performed on the GRCh38-2020-A manufacturer reference

For educational purpose (speed), the dataset columns were reduced to 1/5th (from 737280 to 147456 barcodes)
DOI: 10.5281/zenodo.13828226
title: EBAII n1 scRNAseq : 10X PBMC10K Cell Ranger v3 MEX matrices

description: A public dataset created and provided by 10X Genomics, that consists in ~ 10,000 PBMC (peripheral bone marrow cells) from a human donor

The experiment was performed with the 3’ capture kit v3

The analysis was performed with Cell Ranger v3

Mapping was performed on the GRCh38-2020-A manufacturer reference

The structure of these Cell Ranger outputs are described here

The sparse matrix format corresponds to the Market Exchange Format (MEX)

For educational purpose (speed), the dataset columns were reduced to 1/5th (from 737,280 to 147,456 barcodes)
description: matrix.mtx.gz : sparse count matrix (compressed with gzip), as MEX
description: barcodes.tsv.gz : table of droplet barcodes, as TSV
description: features.tsv.gz : Table of features (genes), as TSV
description: pbmc_10k_v3_summary.html : Cell Ranger 3 metrics summary report, as HTML
DOI: 10.5281/zenodo.14034221
title: EBAII n1 scRNAseq : 10X PBMC10K Cell Ranger v3 MEX matrices

description: A public dataset created and provided by 10X Genomics, that consists in ~ 10,000 PBMC (peripheral bone marrow cells) from a human donor

The experiment was performed with the 3’ capture kit v3

The analysis was performed with Cell Ranger v3

Mapping was performed on the GRCh38-2020-A manufacturer reference

The structure of these Cell Ranger outputs are described here

The sparse matrix format corresponds to the Market Exchange Format (MEX)

For educational purpose (speed), the dataset columns were reduced to 1/5th (from 737,280 to 147,456 barcodes)
description: matrix.mtx.gz : sparse count matrix (compressed with gzip), as MEX
description: barcodes.tsv.gz : table of droplet barcodes, as TSV
description: features.tsv.gz : Table of features (genes), as TSV
description: pbmc_10k_v3_summary.html : Cell Ranger 3 metrics summary report, as HTML
DOI: 10.34740/kaggle/dsv/9802445
title: Trending Youtube Video Statistics (113 Countries)
DOI: 10.5281/zenodo.12696959
title: LAMASUS Annual Corine Land Cover Time Series (2000 to 2018)

description:  

This dataset consists of an annual times series of Corine land cover from 2000 to 2018. The layers for 2000, 2006, 2012 and 2018 are the accounting layers of Corine land cover, produced by the European Environment Agency as part of the European Union's Copernicus Land Monitoring Service. These layers are being redistributed as part of this data package according to the data policy of the Copernicus Land Monitoring service. 

The annual layers for years in between 2000 and 2018 have been generated using the Corine change layers and a method to identify the year of change. This was based on using the high resolution land cover time series of Witjes et al. (2022) to extract the year when a change had occurred. This allowed 82.9%, 80.5% and 80.4% of cases for 2000 to 2006, 2006 to 2012 and 2012 to 2018 to be identified. MODIS and the BFAST algorithm were then applied to the remaining changes, which allowed an additional 7%, 11.2% and 7.5% of cases for 2000 to 2006, 2006 to 2012 and 2012 to 2018, respectively. Finally, for the remaining cases, a year was randomly allocated between the six year time period. A transition matrix was applied to account for a logical sequence of changes, which is inluded here in the file TransitionsinEurope4CLCTS.xlsx. 

This dataset has been created as part of LAMASUS Project under the scope of Deliverable 2.1 titled "The LUM Geodatabase and Area Estimates of Land Use Change to 2018 ". The data is directly linked to the work described on pages 10-11, belonging to section 2. Corine Land Cover Time Series. The full text of the deliverable can be accessed via: https://www.lamasus.eu/wp-content/uploads/LAMASUS_D2.1_LUMGeodatabase.pdf.
DOI: 10.5281/zenodo.14013819
title: Data Regarding the Paper Titled "0.5 Billion Counts per Second Enable High Speed and Penetration in Time-Domain Diffuse Optics"
DOI: 10.5281/zenodo.14013820
title: Data Regarding the Paper Titled "0.5 Billion Counts per Second Enable High Speed and Penetration in Time-Domain Diffuse Optics"
DOI: 10.5281/zenodo.10939891
title: LAMASUS NUTS-level agricultural data derived from public FADN 1989-2009 (SGM) & 2004-2020 (SO)

description: This dataset comprises spatial and temporal agricultural data compiled from the Farm Accountancy Data Network (FADN) Public Database available at the FADN-region level and further disaggregated using Corine Land Cover (CLC) information about agricultural area. Processing to NUTS level:

CLC data layers were used to overlay what is defined as "Agricultural areas" in CLC level 1classification (#2**) with FADN and NUTS regions. The overlay allows to calculate area-weighted shares and further to allocate FADN farm weights to the NUTS level. This allows the application of weights at the NUTS granularity. Please keep in mind, this is only possible under the assumption of heterogeneous farms within the FADN region. File description:

The dataset consists of eight files, corresponding to four different levels of NUTS coding (NUTS 0-3) according to the 2016 NUTS specification and each of those for the two different sampling periods. FADN data from 2004 onwards, standard results calculated for farms grouped according to EU typology of agricultural holdings based on standard output (SO). FADN data from 1989 to 2009, standard results calculated for farms grouped according to EU typology of agricultural holdings based on standard gross margin (SGM). 

For each csv file, the following columns are included: Identifier:



NUTS Code: The unique identifier for the NUTS (2016) region

Year: The year of the data point


Variables:

      3. weighting: number of farms represented      4. and after: SE standard result variables, for detailed description, please have a look at the accompanied xlsx: variable_description_zenodo.xlsx

Source information:

The raw data for the public Farm Accountancy Data Network (FADN) can be accessed through the official platform using the following link: FADN Public Database.

The CLC layers for the weighting of the spatial disaggregation can be accessed via the Copernicus homepage undern the following link: https://land.copernicus.eu/en/products/corine-land-cover

 



This dataset has been created as part of LAMASUS Project under the scope of Deliverable 3.2 titled "Database on EU policies and payments for agriculture, forest, and other LUM related drivers ". The data is directly linked to the work described on pages 50-57, belonging to section 3.6 Public FADN Data. The full text of the deliverable can be accessed via: https://www.lamasus.eu/wp-content/uploads/LAMASUS_D3.2_policy-and-payment-database.pdf.
DOI: 10.5281/zenodo.10939892
title: LAMASUS NUTS-level agricultural data derived from public FADN 1989-2009 (SGM) & 2004-2020 (SO)

description: This dataset comprises spatial and temporal agricultural data compiled from the Farm Accountancy Data Network (FADN) Public Database available at the FADN-region level and further disaggregated using Corine Land Cover (CLC) information about agricultural area. Processing to NUTS level:

CLC data layers were used to overlay what is defined as "Agricultural areas" in CLC level 1classification (#2**) with FADN and NUTS regions. The overlay allows to calculate area-weighted shares and further to allocate FADN farm weights to the NUTS level. This allows the application of weights at the NUTS granularity. Please keep in mind, this is only possible under the assumption of heterogeneous farms within the FADN region. File description:

The dataset consists of eight files, corresponding to four different levels of NUTS coding (NUTS 0-3) according to the 2016 NUTS specification and each of those for the two different sampling periods. FADN data from 2004 onwards, standard results calculated for farms grouped according to EU typology of agricultural holdings based on standard output (SO). FADN data from 1989 to 2009, standard results calculated for farms grouped according to EU typology of agricultural holdings based on standard gross margin (SGM). 

For each csv file, the following columns are included: Identifier:



NUTS Code: The unique identifier for the NUTS (2016) region

Year: The year of the data point


Variables:

      3. weighting: number of farms represented      4. and after: SE standard result variables, for detailed description, please have a look at the accompanied xlsx: variable_description_zenodo.xlsx

Source information:

The raw data for the public Farm Accountancy Data Network (FADN) can be accessed through the official platform using the following link: FADN Public Database.

The CLC layers for the weighting of the spatial disaggregation can be accessed via the Copernicus homepage undern the following link: https://land.copernicus.eu/en/products/corine-land-cover

 



This dataset has been created as part of LAMASUS Project under the scope of Deliverable 3.2 titled "Database on EU policies and payments for agriculture, forest, and other LUM related drivers ". The data is directly linked to the work described on pages 50-57, belonging to section 3.6 Public FADN Data. The full text of the deliverable can be accessed via: https://www.lamasus.eu/wp-content/uploads/LAMASUS_D3.2_policy-and-payment-database.pdf.
DOI: 10.15468/dl.e9grrb
title: Occurrence Download

description: A dataset containing 2760 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((13.27572 55.68802, 13.31529 55.64814, 13.34814 55.63626, 13.3529 55.61776, 13.33232 55.61229, 13.31542 55.62221, 13.30362 55.60639, 13.34314 55.55803, 13.36993 55.56285, 13.39246 55.53391, 13.45003 55.52777, 13.47397 55.52692, 13.48892 55.54821, 13.49454 55.57524, 13.51832 55.58236, 13.54047 55.63272, 13.59667 55.63678, 13.60329 55.65271, 13.61363 55.66865, 13.5608 55.69821, 13.52745 55.70303, 13.45895 55.73272, 13.42704 55.73407, 13.38381 55.74697, 13.32742 55.75445, 13.29833 55.75102, 13.30294 55.76854, 13.28785 55.78057, 13.25218 55.77391, 13.22762 55.79063, 13.21336 55.79196, 13.14345 55.78734, 13.13535 55.74825, 13.12902 55.72418, 13.11222 55.71342, 13.11544 55.70357, 13.14513 55.70636, 13.17349 55.68175, 13.20437 55.69265, 13.21293 55.67843, 13.27572 55.68802))",
 "FamilyKey is one of (Lycaenidae, Hesperiidae, Nymphalidae, Papilionidae, Pieridae, Riodinidae, Zygaenidae)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 2023",
 "BasisOfRecord is Human Observation",
 "Country is Sweden",
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 10000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 2760 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020754-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14017339
title: Modeling and Elucidating the Behavior of a Thermoresponsive LCST Ionic-Liquid

description: Input files for RESP calculation of TMBS necessary to reproduce results presented in the paper:

"Modeling and Elucidating the Behavior of a Thermoresponsive LCST Ionic-Liquid"

 by:

Hussen O. Mohammed, Abel de Cozar, and Ronen Zangi

Gromacs version 2023.1, used for all simulations in this work, is available to the public via the link https://manual.gromacs.org
DOI: 10.5281/zenodo.14017340
title: Modeling and Elucidating the Behavior of a Thermoresponsive LCST Ionic-Liquid

description: Input (parameter, configuration, and topology) files of equilibration and data-collection simulations necessary to reproduce results presented in the paper:

"Modeling and Elucidating the Behavior of a Thermoresponsive LCST Ionic-Liquid"

 by:

Hussen O. Mohammed, Abel de Cozar, and Ronen Zangi

Gromacs version 2023.1, used for all simulations in this work, is available to the public via the link https://manual.gromacs.org
DOI: 10.5281/zenodo.14034255
title: Modeling and Elucidating the Behavior of a Thermoresponsive LCST Ionic-Liquid

description: Input files for RESP calculation of TMBS necessary to reproduce results presented in the paper:

"Modeling and Elucidating the Behavior of a Thermoresponsive LCST Ionic-Liquid"

 by:

Hussen O. Mohammed, Abel de Cozar, and Ronen Zangi

Gromacs version 2023.1, used for all simulations in this work, is available to the public via the link https://manual.gromacs.org