cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.17032328
title: EU-Trees4F Dataset

description: EU-Trees4F is available in GeoTIFF format at a resolution of 5 arc-minutes in LAEA (EPSG:3035) coordinate reference system. Projections into future climates were made using two approaches: 1) A climatic ensemble mean that projects the consensus model from Biomod2 into future conditions using the average output of the 11 RCMs. These maps are stored in a binary format in the folder entitled “ens_clim”; 2) An ‘SDM’ ensemble mean that projects the consensus model for every single RCM, and a posteriori averages of the output of the 11 SDMs. These maps are stored in a binary format in the folder entitled “ens_sdms”. For the ‘SDM’ ensemble mean, we provided as well probability maps as GeoTIFF rasters in a WGS84 (EPSG:4326) reference system, together with the associated standard deviation calculated from the 11 consensus models for every single RCM. In a third directory, entitled “single_models” we included GeoTIFF rasters in a WGS84 (EPSG:4326) reference system for the single climate species distribution model realizations. Here, there are three subdirectories: 1) “bin”, representing binaries distributions maps, 2) “prob” and 3) “CV”, representing respectively probabilities distribution maps and associated coefficient of variation maps. The coefficient of variation is relative to the six species distribution models implemented to produce the consensus projection from BIOMOD2.Finally in the directory “pngs”, we provided the output maps of the 67 tree species potential distributions in PNG image format.<br>
DOI: 10.6084/m9.figshare.17032328.v2
title: EU-Trees4F Dataset

description: EU-Trees4F is available in GeoTIFF format at a resolution of 5 arc-minutes in LAEA (EPSG:3035) coordinate reference system. Projections into future climates were made using two approaches: 1) A climatic ensemble mean that projects the consensus model from Biomod2 into future conditions using the average output of the 11 RCMs. These maps are stored in a binary format in the folder entitled “ens_clim”; 2) An ‘SDM’ ensemble mean that projects the consensus model for every single RCM, and a posteriori averages of the output of the 11 SDMs. These maps are stored in a binary format in the folder entitled “ens_sdms”. For the ‘SDM’ ensemble mean, we provided as well probability maps as GeoTIFF rasters in a WGS84 (EPSG:4326) reference system, together with the associated standard deviation calculated from the 11 consensus models for every single RCM. In a third directory, entitled “single_models” we included GeoTIFF rasters in a WGS84 (EPSG:4326) reference system for the single climate species distribution model realizations. Here, there are three subdirectories: 1) “bin”, representing binaries distributions maps, 2) “prob” and 3) “CV”, representing respectively probabilities distribution maps and associated coefficient of variation maps. The coefficient of variation is relative to the six species distribution models implemented to produce the consensus projection from BIOMOD2.Finally in the directory “pngs”, we provided the output maps of the 67 tree species potential distributions in PNG image format.<br>
DOI: 10.6084/m9.figshare.17032253.v2
title: Reproducibility scripts and necessary datasets

description: Here you can find the R scripts that could be used to reproduce the entire dataset. In addition, there are other ancillary dataset necessary to run the scripts
DOI: 10.6084/m9.figshare.20261460.v1
title: Supplemental File 4

description: Supplemental File 4. Pathway and ontological analyses from Reactome 2016, KEGG 2019 and Gene Ontology: Biological Processes using EnrichR. Gene membership for each pathway analysis is included.
DOI: 10.6084/m9.figshare.20503002
title: phage mutant sequencing data

description: T1 and T3 phage mutant seqeuncing data (illumina)
DOI: 10.6084/m9.figshare.20503002.v1
title: phage mutant sequencing data

description: T1 and T3 phage mutant seqeuncing data (illumina)
DOI: 10.21227/pndr-2p94
title: Supplementary Material of the Paper: “Model-Matching and Active Damping Control for Low Switching-Frequency Converters”

description: In this report, supplementary material and additional information are provided to complement the data of the paper: “Model-Matching and Active Damping Control for Low Switching-Frequency Converters”.
DOI: 10.5281/zenodo.3463396
title: StEmp-Tool ABW Dataset

description: Dataset used in the Stakeholder Empowerment (StEmp) Tool for Anhalt-Bitterfeld-Wittenberg (ABW), developed by the Reiner Lemoine Institute. The app The source lives on github The docs can be found on ReadTheDocs
DOI: 10.5281/zenodo.3376167
title: StEmp-Tool ABW Dataset

description: Dataset used in the Stakeholder Empowerment (StEmp) Tool for Anhalt-Bitterfeld-Wittenberg (ABW), developed by the Reiner Lemoine Institute. The app The source lives on github The docs can be found on ReadTheDocs
DOI: 10.7284/123885
title: Multibeam Echosounder data collected during research cruise MGL1701 using a Kongsberg EM122 instrument system onboard the platform RV Marcus G. Langseth

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.6084/m9.figshare.20503095
title: pinguicula_primuliflora_spades_01.fasta.gz

description: ......
DOI: 10.6084/m9.figshare.20503095.v1
title: pinguicula_primuliflora_spades_01.fasta.gz

description: ......
DOI: 10.6084/m9.figshare.18858503
title: Loblolly pine component ET data

description: Component evapotranspiration data from plots within bioenergy stands at SRS.<br>Interception (mm/m<sup>2</sup>) was estimated as Interception = precipitation - throughfall. Negative interception values represent measurement error in throughfall or precipitation during weeks with high precipitation.<br>Soil evaporation (mm/m<sup>2</sup>) was estimated using 0.5 m<sup>2</sup> box lysimeters. Evaporation = throughfall - outflow - change in storage. Data are cumulative evaporation over the respective measurement dates, which are seven days on average but vary due to sampling contraints.<br>Transpiration (mm/m2, L/hr) was estimated using Granier thermal dissipation sensors.<br>
DOI: 10.6084/m9.figshare.18858503.v1
title: Loblolly pine component ET data

description: Component evapotranspiration data from plots within bioenergy stands at SRS.<br>Interception (mm/m<sup>2</sup>) was estimated as Interception = precipitation - throughfall. Negative interception values represent measurement error in throughfall or precipitation during weeks with high precipitation.<br>Soil evaporation (mm/m<sup>2</sup>) was estimated using 0.5 m<sup>2</sup> box lysimeters. Evaporation = throughfall - outflow - change in storage. Data are cumulative evaporation over the respective measurement dates, which are seven days on average but vary due to sampling contraints.<br>Transpiration (mm/m2, L/hr) was estimated using Granier thermal dissipation sensors.<br>
DOI: 10.5281/zenodo.7004007
title: Economic Development or Political Survival? Riding the Belt and Road to Re-elections

description: DATASET AND DO FILE
DOI: 10.5281/zenodo.7004006
title: Economic Development or Political Survival? Riding the Belt and Road to Re-elections

description: DATASET AND DO FILE
DOI: 10.5281/zenodo.7004011
title: Dataset for a tutorial dedicated to the Sankey diagram

description: The dataset is a standard table representing steps of patient care. It contains 4 standard variables : a patient identifier, the label of the step, the start date and the end date of the step. One patient may have several steps. The step labels are synthetic (i.e., A, B, C, D, E, F) and may correspond to passages in care unit, successive administrations of drugs or carrying out of medical procedures. This dataset is used for a tutorial dedicated to the Sankey diagram : https://gitlab.com/d8096/health_data_science_tutorials/-/tree/main/tutorials/sankey_diagram
DOI: 10.5281/zenodo.7004010
title: Dataset for a tutorial dedicated to the Sankey diagram

description: The dataset is a standard table representing steps of patient care. It contains 4 standard variables : a patient identifier, the label of the step, the start date and the end date of the step. One patient may have several steps. The step labels are synthetic (i.e., A, B, C, D, E, F) and may correspond to passages in care unit, successive administrations of drugs or carrying out of medical procedures. This dataset is used for a tutorial dedicated to the Sankey diagram : https://gitlab.com/d8096/health_data_science_tutorials/-/tree/main/tutorials/sankey_diagram
DOI: 10.5281/zenodo.6620873
title: BeerDEcoded Nanopore Sequencing Run of la trappe Now. 2019

description: The BeerDEcoded workshops are a project of the Street Science Community. https://streetscience.community/projects/beerdecoded/<br> We are extracting DNA from different Beers and sequence them using the Nanopore sequencing technique. The data contains the reads extracted from the beer of the brand la trappe and was performed on 26.11.2019. <br> The Sequencing was performed on a MinION using a Flow Cell and the MinKNOW software. The Software collects sequencing data in real-time and has a base-calling integrated to convert the fast5 files into fastq files.
DOI: 10.5281/zenodo.6620872
title: BeerDEcoded Nanopore Sequencing Run of Chimay Now. 2019

description: The BeerDEcoded workshops are a project of the Street Science Community. https://streetscience.community/projects/beerdecoded/<br> We are extracting DNA from different Beers and sequence them using the Nanopore sequencing technique. The data contains the reads extracted from the beer of the brand Chimay and was performed on 26.11.2019. <br> The Sequencing was performed on a MinION using a Flow Cell and the MinKNOW software. The Software collects sequencing data in real-time and has a base-calling integrated to convert the fast5 files into fastq files.
DOI: 10.5281/zenodo.6862301
title: BeerDEcoded Nanopore Sequencing Run of Chimay Now. 2019

description: The BeerDEcoded workshops are a project of the Street Science Community. https://streetscience.community/projects/beerdecoded/<br> We are extracting DNA from different Beers and sequence them using the Nanopore sequencing technique. The data contains the reads extracted from the beer of the brand Chimay and was performed on 26.11.2019. <br> The Sequencing was performed on a MinION using a Flow Cell and the MinKNOW software. The Software collects sequencing data in real-time and has a base-calling integrated to convert the fast5 files into fastq files.
DOI: 10.6084/m9.figshare.19923947
title: Eye and heart transcriptome profiling of freshwater crab Paratelphusa hydrodromous

description: <strong>Table S1:</strong> Complete transcriptome annotation details of freshwater crab <em>P. hydrodromous</em>. <strong>Table S5: </strong>List of all DEGs identified between the crab eye and heart <strong>Table S6: </strong>List of all functionally enriched GO terms associated with the differentially expressed genes between crab eye and heart <strong>Table S7: </strong>List of eye-specific genes details of freshwater crab <em>P. hydrodromous.</em> <strong>Table S8: </strong>List of heart-specific genes details of freshwater crab <em>P. hydrodromous.</em> <strong>Table S9:</strong> List of both eye and heart specific genes details of freshwater crab <em>P. hydrodromous.</em>
DOI: 10.6084/m9.figshare.19923947.v2
title: Eye and heart transcriptome profiling of freshwater crab Paratelphusa hydrodromous

description: <strong>Table S1:</strong> Complete transcriptome annotation details of freshwater crab <em>P. hydrodromous</em>. <strong>Table S5: </strong>List of all DEGs identified between the crab eye and heart <strong>Table S6: </strong>List of all functionally enriched GO terms associated with the differentially expressed genes between crab eye and heart <strong>Table S7: </strong>List of eye-specific genes details of freshwater crab <em>P. hydrodromous.</em> <strong>Table S8: </strong>List of heart-specific genes details of freshwater crab <em>P. hydrodromous.</em> <strong>Table S9:</strong> List of both eye and heart specific genes details of freshwater crab <em>P. hydrodromous.</em>
DOI: 10.6084/m9.figshare.19923947.v1
title: Eye and heart transcriptome profiling of freshwater crab Paratelphusa hydrodromous

description: <strong>Table S1:</strong> Complete transcriptome annotation details of freshwater crab <em>P. hydrodromous</em>. <strong>Table S5: </strong>List of all DEGs identified between the crab eye and heart <strong>Table S6: </strong>List of all functionally enriched GO terms associated with the differentially expressed genes between crab eye and heart <strong>Table S7: </strong>List of eye-specific genes details of freshwater crab <em>P. hydrodromous.</em> <strong>Table S8: </strong>List of heart-specific genes details of freshwater crab <em>P. hydrodromous.</em>
DOI: 10.6084/m9.figshare.20503152
title: Supplementary Table

description: Table S1: The DEGs of club and goblet cells in three diseases Table S2: Pathway of intersection of DEGs in club and goblet cells of three diseases Table S3: Top10 pathways of DEGs enrichment in club and goblet cells of three diseases
DOI: 10.6084/m9.figshare.20503152.v1
title: Supplementary Table

description: Table S1: The DEGs of club and goblet cells in three diseases Table S2: Pathway of intersection of DEGs in club and goblet cells of three diseases Table S3: Top10 pathways of DEGs enrichment in club and goblet cells of three diseases
DOI: 10.5517/ccdc.csd.cc1nd4gn
title: CCDC 1531011: Experimental Crystal Structure Determination

description: Related Article: Adam A. A. Sulaiman|2017|CSD Communication|||
description: Related Article: Adam A. A. Sulaiman, Muhammad Altaf, Anvarhusein A. Isab|2019|U.S.Patents|||
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.cc1p2pp4
title: CCDC 1551726: Experimental Crystal Structure Determination

description: Related Article: Chen Zhang, Sandra Bourgeade Delmas, Álvaro Fernández Álvarez, Alexis Valentin, Catherine Hemmert, Heinz Gornitzka|2018|Eur.J.Med.Chem.|143|1635|doi:10.1016/j.ejmech.2017.10.060
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.cc1p2pr6
title: CCDC 1551728: Experimental Crystal Structure Determination

description: Related Article: Chen Zhang, Sandra Bourgeade Delmas, Álvaro Fernández Álvarez, Alexis Valentin, Catherine Hemmert, Heinz Gornitzka|2018|Eur.J.Med.Chem.|143|1635|doi:10.1016/j.ejmech.2017.10.060
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.cc1p2pq5
title: CCDC 1551727: Experimental Crystal Structure Determination

description: Related Article: Chen Zhang, Sandra Bourgeade Delmas, Álvaro Fernández Álvarez, Alexis Valentin, Catherine Hemmert, Heinz Gornitzka|2018|Eur.J.Med.Chem.|143|1635|doi:10.1016/j.ejmech.2017.10.060
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.cc22zbdt
title: CCDC 1935776: Experimental Crystal Structure Determination

description: Related Article: Lingjuan Ma, Yishuai Zhang, Tao Han, Chunjiang Du, Yuanjie Sun, Jingquan Sha|2019|Inorg.Chem.Commun.|108|107509|doi:10.1016/j.inoche.2019.107509
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: 10.15128/r202870v911
title: Realization of a Novel Free-Piston Engine Generator for Hybrid Electric Vehicle Applications [dataset]

description: Free-piston engine generators (FPEGs) have huge potential to be the principal energy conversion device for generating electricity from fuel as part of a hybrid-electric vehicle (EV) powertrain system. The principal advantages lay in the fact that they are theoretically more efficient, more compact, and more lightweight compared to other competing EV hybrid and range extender solutions (internal combustion engines, rotary engines, fuel cells, etc.). However, this potential has yet to be realized. This article details a novel dual-piston FPEG configuration and presents the full layout of a system and provides technical evidence of a commercial FPEG system’s likely size and weight. The work also presents the first results obtained from a project which set-out to realize an operational FPEG system in hardware through the development and testing of a flexible prototype test platform. The work presents the performance and control system characteristics, for a first of a kind system; these show great technical potential with stable and repeatable combustion events achieved with around 700 W per cylinder and 26% indicated efficiency.
DOI: 10.6084/m9.figshare.19230060
title: Cowbird Niche Construction Experimental Data

description: Data from brood manipulations at hatching in nests of prothonotary warblers to determine survival and niche construction
DOI: 10.5066/p902u83f
title: Sediment trapping at &amp;amp;quot;The Jaws&amp;amp;quot; (TV-15): 2008, 2015, and 2018 land-water classifications

description: The Louisiana State Legislature created the Coastal Wetlands Planning, Protection and Restoration Act (CWPPRA) in order to conserve, restore, create and enhance Louisiana's coastal wetlands. The wetland restoration plans developed pursuant to these acts specifically require an evaluation of the effectiveness of each coastal wetlands restoration project in achieving long-term solutions to arresting coastal wetlands loss. This data set includes mosaicked aerial photographs for the Sediment Trapping at "The Jaws" (TV-15) project for 2008, 2015, and 2018. This data is used as a basemap land-water classification. It also serves as a visual tool for project managers to help them identify any obvious problems or land loss within their project [...]
DOI: 10.6084/m9.figshare.20503227
title: neurips2022_multiome

description: Processed and subsampled of the data provided in the Multimodal Single-Cell Integration NeurIPS 2022 challenge (https://www.kaggle.com/competitions/open-problems-multimodal/data). <br> Data was filtered on donor "31800" and non-hidden celltypes. Subsequently, 2000 data points were randomly subsampled. The 2000 most highly variable genes were selected for the RNA data and peaks which appeared in less than 5% of the cells were filtered out, resulting in 11607 peaks.
DOI: 10.48366/r211826
title: A comparison on Personal Knowledge Graphs to deal with User-Centric Data

description: Personal knowledge graph (PKG) has been defined as a source of structured knowledge about entities and the relation between the entities to focus on personal information rather than general. In Personal Knowledge Graphs entity linking, NIL-detection and knowledge graph population are interlinked that help to infer the attributes of extracted entities. A comparison of Personal Knowledge Graphs to explore the individual's personal data and helping to organize user-centric entities.
DOI: 10.5067/ajmzo5o3tgur
title: OCO-2 Level 2 bias-corrected solar-induced fluorescence and other select fields from the IMAP-DOAS algorithm aggregated as daily files, Retrospective processing V11r
DOI: 10.6084/m9.figshare.19803790.v2
title: A 10 m resolution urban green space map for major Latin American cities from Sentinel-2 remote sensing images and OpenStreetMap

description: Here we produced the first 10 m resolution urban green space (UGS) map for the main urban clusters across 371 major Latin American cities as of 2017. Our approach applied a supervised classification of Sentinel-2 satellite imagery and UGS samples derived from OpenStreetMap (OSM). The overall accuracy of this UGS map in 11 randomly selected cities was 0.87, evaluated by independently collected validation samples (‘ground truth’). We further improved mapping quality through a visual inspection and additional sample collection. The resulting UGS map enables studies to measure area, spatial configuration, and human exposures to UGS, facilitating studies about the relationship between UGS and human exposures to environmental hazards, public health outcomes, and environmental justice issues in Latin American cities. UGS in this map series includes grass, shrub, forest, and farmland, and non-UGS included buildings, pavement, roads, barren land, and dry vegetation. The UGS map series includes two sets of files: (1) binary UGS maps at 10 m spatial resolution in GEOTIFF format (UGS.zip), with each of the 371 cities being an individual map. Mapped value of 1 indicates UGS, 0 indicates non-UGS, and no data (with value of -32768) indicates areas outside the mapped boundary or water bodies; (2) a shapefile of mapped boundaries (Boundaries.zip). The boundary file contains city name, country name and its ISO-2 country code, and an ID field linking each city's boundary to the corresponding UGS map.
DOI: 10.5517/ccdc.csd.ccrvyyg
title: CCDC 711107: Experimental Crystal Structure Determination

description: Related Article: Vincent J. Catalano, Ahmad Samin|2016|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.cc20c55r
title: CCDC 1857773: Experimental Crystal Structure Determination

description: Related Article: Xiao-Fei Yin, Bang-Di Ge, Li Wei, Xi-Xi Zheng, Yi-Lin Wang, Qi Wei, Guo-Ming Wang|2019|Inorg.Chem.Commun.|108|107516|doi:10.1016/j.inoche.2019.107516
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.cc216knh
title: CCDC 1883146: Experimental Crystal Structure Determination

description: Related Article: T. Srinivasa Reddy, Steven H. Privér, Nedaossadat Mirzadeh, Rodney B. Luwor, Velma Ganga Reddy, Shwathy Ramesan, Suresh K. Bhargava|2020|Inorg.Chem.|59|5662|doi:10.1021/acs.inorgchem.0c00423
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.