cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.6985398
title: The dataset of the Global Collections survey of natural history collections

description: From 2016 to 2018, we surveyed the world’s largest natural history museum collections to begin mapping this globally distributed scientific infrastructure. The resulting dataset includes 73 institutions across the globe. It has: Basic institution data for the 73 contributing institutions, including estimated total collection sizes, geographic locations (to the city) and latitude/longitude, and Research Organization Registry (ROR) identifiers where available. Resourcing information, covering the numbers of research, collections and volunteer staff in each institution. Indicators of the presence and size of collections within each institution broken down into a grid of 19 collection disciplines and 16 geographic regions. Measures of the depth and breadth of individual researcher experience across the same disciplines and geographic regions. This dataset contains the data (raw and processed) collected for the survey, and specifications for the schema used to store the data. It includes: A diagram of the MySQL database schema. A SQL dump of the MySQL database schema, excluding the data. A SQL dump of the MySQL database schema with all data. This may be imported into an instance of MySQL Server to create a complete reconstruction of the database. Raw data from each database table in CSV format. A set of more human-readable views of the data in CSV format. These correspond to the database tables, but foreign keys are substituted for values from the linked tables to make the data easier to read and analyse. A text file containing the definitions of the size categories used in the collection_unit table. The global collections data may also be accessed at https://rebrand.ly/global-collections. This is a preliminary dashboard, constructed and published using Microsoft Power BI, that enables the exploration of the data through a set of visualisations and filters. The dashboard consists of three pages: <strong>Institutional profile:</strong> Enables the selection of a specific institution and provides summary information on the institution and its location, staffing, total collection size, collection breakdown and researcher expertise. <strong>Overall heatmap:</strong> Supports an interactive exploration of the global picture, including a heatmap of collection distribution across the discipline and geographic categories, and visualisations that demonstrate the relative breadth of collections across institutions and correlations between collection size and breadth. Various filters allow the focus to be refined to specific regions and collection sizes. <strong>Browse:</strong> Provides some alternative methods of filtering and visualising the global dataset to look at patterns in the distribution and size of different types of collections across the global view.
description: Funding was provided by the Smithsonian's National Museum of Natural History, the Natural History Museum, London, and the American Museum of Natural History.
DOI: 10.6073/pasta/e2b3bd63fb50f577adc20d2614791123
title: Jornada Basin LTER: Wireless meteorological station at NPP C-GRAV site: 30-minute soil volumetric water content data: 2013 - ongoing

description: 30-minute Soil Moisture data at NPP C-GRAV met station. Collection of soil volumetric water content data at Jornada LTER NPP sites, New Mexico, supports the environmental monitoring objectives of the Jornada LTER monitoring program that look at plant-soil water dynamics. Volumetric water content, bulk electrical conductivity, soil temperature, and bulk dielectric permittivity are measured every 30 minutes at an automated meteorological station installed at Jornada LTER NPP C-GRAV site. Measurements are made every 30 minutes at 10 cm, 20 cm, and 30 cm soil depths. This is an ONGOING dataset.
DOI: 10.6084/m9.figshare.12287564
title: Data integration of stool microbiota, proteome and amino acid profiles for the detection of colorectal neoplasia

description: Multi-omics database on colorectal cancer, adenomas and controls using microbiota (16S RNA sequencing), amino acid composition (HPLC) and proteome (LC-MS/MS)
DOI: 10.6084/m9.figshare.12287564.v1
title: Data integration of stool microbiota, proteome and amino acid profiles for the detection of colorectal neoplasia

description: Multi-omics database on colorectal cancer, adenomas and controls using microbiota (16S RNA sequencing), amino acid composition (HPLC) and proteome (LC-MS/MS)
DOI: 10.6073/pasta/960430215f2bcf9ab089bc1539800b8e
title: Jornada Basin LTER: Wireless meteorological station at NPP C-GRAV site: Daily average soil volumetric water content data: 2013 - ongoing

description: Daily average of 30-minute Volumetric Water Content at NPP C-GRAV met station. Collection of soil volumetric water content data at Jornada LTER NPP sites, New Mexico, supports the environmental monitoring objectives of the Jornada LTER monitoring program that look at plant-soil water dynamics. Volumetric water content, bulk electrical conductivity, soil temperature, and bulk dielectric permittivity are measured and calculated at an automated meteorological station installed at Jornada LTER NPP C-GRAV site. The daily average at 3 soil depths is calculated from measurements made every 30 minutes at 10 cm, 20 cm, and 30 cm. This is an ONGOING dataset.
DOI: 10.6084/m9.figshare.21503013
title: CROHN'S DISEASE

description: SINGLE CELL RNA SEQ DATA
DOI: 10.25318/4610002301-eng
title: Business and government ownership of residential properties, by legal type and industry 

description: Data on the number and assessment value of residential properties owned by businesses and governments, by property type, legal type and industry.
DOI: 10.25318/4610002301-fra
title: Les propriétés résidentielles détenues par les entreprises et les administrations publiques selon la forme juridique et l’industrie

description: Données sur le nombre et la valeur de l’évaluation foncière des propriétés résidentielles détenues par des entreprises et administrations publiques, par type de propriété, forme juridique et industrie.
DOI: 10.5523/bris.2h0wyctxrd69j2oqccsi45hy1p
title: SPHERE house scripted dataset: A multi-sensor dataset with annotated activities of daily living recorded in a residential setting v2.0

description: This dataset expands the original Sphere Challenge dataset with access to a full set of both training and testing data. This dataset is well-adapted for use to predict aspects of the activities of residents within a smart home based only on observed sensor data. An accompanying data descriptor is under submission to Nature Scientific Data. An updated version was deposited in November 2022 with extensive additional data, as well as being reorganised to facilitate accessibility and reusability. This dataset is available under the CC-BY licence. Earlier version of this dataset available at: https://doi.org/10.5523/bris.1dcxespcsafm02fba4bckx0ymt
DOI: 10.25318/4610003501-eng
title: Legal type and industry of business and government owners of residential property

description: Data on the number of business and government owners of residential property, and the total assessment value of the properties they own, by legal type, industry and the number of properties owned.
DOI: 10.5281/zenodo.7292946
title: EIA Thermoelectric cooling water data

description: EIA data on water cooling thermoelectric generators in the US. Source: https://www.eia.gov/electricity/data/water/
DOI: 10.5281/zenodo.7292945
title: EIA Thermoelectric cooling water data

description: EIA data on water cooling thermoelectric generators in the US. Source: https://www.eia.gov/electricity/data/water/
DOI: 10.25318/4610003501-fra
title: Forme juridique et industrie des entreprises et administrations publiques détenant une propriété résidentielle

description: Données sur le nombre d’entreprises et administrations publiques détenant une propriété résidentielle, ainsi que la valeur totale de l'évaluation foncière des propriétés qu'ils détiennent, par forme juridique, industrie et nombre de propriétés détenues.
DOI: 10.5519/qd.0dyunf40
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (74 records)
DOI: 10.5066/p90kekph
title: Baseline geomorphic map and land-surface parameters, derived from integrated topobathymetric elevation data, for the mainstem Klamath River corridor downstream of Iron Gate Dam, CA, 2018

description: This data release includes a file geodatabase with high-resolution geospatial products that illustrate the geomorphology and various land-surface parameters along a 313-kilometer segment of the mainstem Klamath River corridor downstream of Iron Gate Dam, CA. The geospatial products were derived from topobathymetric elevation data collected to document baseline topography and bathymetry before the removal of four hydro-electric dams. The elevation survey included aerial lidar, using an integrated topobathymetric sensor (with near-infrared and green wavelengths), and boat-based sonar measurements of water depths. Acquisition dates for the aerial topobathymetric lidar spanned 06/01/2018 to 06/14/2018. For the bathymetric sonar survey, data collection in the lower reaches spanned 08/27/2018 to 09/04/2018 and data collection in the upper reaches spanned 10/02/2018 to 10/07/2018. A seamless topobathymetric digital terrain model (DTM) was published by NV5 Geospatial (formerly QSI Inc.) at Open Topography (https://doi.org/10.5069/G9DN436N). Hydroflattened digital elevation models (DEMs) were published by the U.S. Geological Survey on The National Map (https://nationalmap.gov/). Geoprocessing methods are described in detail in the metadata record. The file geodatabase includes a map of geomorphic features and files that characterize various land-surface parameters (thalweg, centerline, channel width, channel depth, water surface slope, surface roughness, and river complexity). The geomorphic map and land-surface parameters document baseline geomorphic conditions prior to dam removal and the channel centerline provides a longitudinal reference system for measuring linear distances downstream from Iron Gate Dam. Using the channel centerline, the study area was discretized into 1-kilometer reaches and the longitudinal variation in geomorphic features and land-surface parameters were summarized (Summary_Table_Geomorphology_and_Land_Surface_Parameters_Klamath_River_California_2018.csv). The USGS Integrated Water Availability Assessments (IWAAs) Program funded generation of these high-resolution digital products.
DOI: 10.6073/pasta/79952eb4412f202f3339d5b37e0e23a6
title: Jornada Basin LTER: Wireless meteorological station at NPP C-SAND site: 5-minute summary wind and air temperature data: 2013 - ongoing

description: 5-minute summary data at NPP C-SAND met station. Average air temperature, wind speed and wind direction are measured and calculated based on 1-second scan rate of all sensors located at an automated meteorological station installed at Jornada LTER NPP C-SAND site. Wind speed is measured at 75 cm, 150 cm, and 300 cm, wind direction at approximately 3m, and air temperature at approximate 2.5m. This climate station is operated by the Jornada LTER Program. This is an ONGOING dataset.
DOI: 10.6073/pasta/6ae357063eb5f34be4154b46272b86f0
title: Jornada Basin LTER: Wireless meteorological station at NPP C-SAND site: 1-hour summary data: 2013 - ongoing

description: Hourly summary data at NPP C-SAND met station. Average/maximum/minimum air temperature; average relative humidity and wind direction; average/maximum wind speed; solar radiation; albedo. These are measured and calculated based on 1-second scan rate of all sensors located at an automated meteorological station installed at Jornada LTER NPP C-SAND site. Wind speed is measured at 75 cm, 150 cm, and 300 cm, wind direction at approximately 3m, and air temperature and relative humidity at approximate 2.5m. Solar radiation is measured at 3m. This climate station is operated by the Jornada LTER Program. This is an ONGOING dataset.
DOI: 10.6073/pasta/705b18d537ec528a0abe3aa6f3845a8b
title: Jornada Basin LTER: Wireless meteorological station at NPP C-SAND site: 30-minute summary data: 2013 - ongoing

description: 30-minute summary data at NPP C-SAND met station. Average air temperature, relative humidity, wind speed, wind direction, and solar radiation are measured and calculated based on 1-second scan rate of all sensors located at an automated meteorological station installed at Jornada LTER NPP C-SAND site. Wind speed is measured at 75 cm, 150 cm, and 300 cm, wind direction at approximately 3m, and air temperature and relative humidity at approximate 2.5m. Solar radiation is measured at 3m. This climate station is operated by the Jornada LTER Program. This is an ONGOING dataset.
DOI: 10.6073/pasta/b0cbcae1d518c6fbce738c22cbc43334
title: Jornada Basin LTER: Wireless meteorological station at NPP C-SAND site: Daily summary data: 2013 - ongoing

description: Daily summary data at NPP C-SAND met station. Average/maximum/minimum air temperature; average/maximum relative humidity and wind speed and average wind direction; solar radiation; albedo. These are measured and calculated based on 1-second scan rate of all sensors located at an automated meteorological station installed at Jornada LTER NPP C-SAND site. Wind speed is measured at 75 cm, 150 cm, and 300 cm, wind direction at approximately 3m, and air temperature and relative humidity at approximate 2.5m. Solar radiation is measured at 3m. This climate station is operated by the Jornada LTER Program. This is an ONGOING dataset.
DOI: 10.6073/pasta/3478107be0cca32f8076a0dec71c72a9
title: Jornada Basin LTER: Wireless meteorological station at NPP C-SAND site: 1-second summary precipitation data: 2013 - ongoing

description: 1-second summary precipitation data at NPP C-SAND met station. Total precipitation per second is recorded only if there is measurable precipitation. This is recorded at an automated meteorological station installed at Jornada LTER NPP C-SAND site.. This climate station is operated by the Jornada LTER Program. This is an ONGOING dataset. IMPORTANT: Rainfall is only recorded when a bucket tip occurs on the tipping bucket rain gauge. If there is missing data due to equipment or other problems, there will be no indication of this within this dataset. The user needs to review precipitation values in the 30 minute or hourly summary datasets to determine if there are missing data in this 1 second detailed precipitation dataset. Reference the package i.d.'s knb-lter-jrn.210437018, knb-lter-jrn.210437033, and knb-lter-jrn.210437048 for the NPP C-SAND met station 30 minute, hourly, and daily summary datasets, respectively.
DOI: 10.5281/zenodo.7292967
title: Do the directions of Social Bonds intervention differentiate the World in terms of capital per beneficiary raised and scheme duration?

description: Appendix 1 to the article <strong>Do the directions of Social Bonds intervention differentiate the World in terms of capital per beneficiary raised and scheme duration? </strong>
DOI: 10.5281/zenodo.7292966
title: Do the directions of Social Bonds intervention differentiate the World in terms of capital per beneficiary raised and scheme duration?

description: Appendix 1 to the article <strong>Do the directions of Social Bonds intervention differentiate the World in terms of capital per beneficiary raised and scheme duration? </strong>
DOI: 10.6073/pasta/3cf096e50bbd39b62b83e152169c76c2
title: Jornada Basin LTER: Wireless meteorological station at NPP C-SAND site: 30-minute soil volumetric water content data: 2013 - ongoing

description: 30-minute Soil Moisture data at NPP C-SAND met station. Collection of soil volumetric water content data at Jornada LTER NPP sites, New Mexico, supports the environmental monitoring objectives of the Jornada LTER monitoring program that look at plant-soil water dynamics. Volumetric water content, bulk electrical conductivity, soil temperature, and bulk dielectric permittivity are measured every 30 minutes at an automated meteorological station installed at Jornada LTER NPP C-SAND site. Measurements are made every 30 minutes at 10 cm, 20 cm, and 30 cm soil depths. This is an ONGOING dataset.
DOI: 10.6073/pasta/00fb39d80e8e1a7d62be099006897bd7
title: Jornada Basin LTER: Wireless meteorological station at NPP C-SAND site: Daily average soil volumetric water content data: 2013 - ongoing

description: Daily average of 30-minute Volumetric Water Content at NPP C-SAND met station. Collection of soil volumetric water content data at Jornada LTER NPP sites, New Mexico, supports the environmental monitoring objectives of the Jornada LTER monitoring program that look at plant-soil water dynamics. Volumetric water content, bulk electrical conductivity, soil temperature, and bulk dielectric permittivity are measured and calculated at an automated meteorological station installed at Jornada LTER NPP C-SAND site. The daily average at 3 soil depths is calculated from measurements made every 30 minutes at 10 cm, 20 cm, and 30 cm. This is an ONGOING dataset.
DOI: 10.5281/zenodo.4279323
title: MEDDOCAN corpus: gold standard annotations for Medical Document Anonymization on Spanish clinical case reports

description: <strong>Intro:</strong> Meddocan shared task dataset (divided in train, dev and test). In addition, we include here the Meddocan background set. It contains the training, development and test sets of the Meddocan shared task with Gold Standard annotations. In addition, it contains the documents of the background set, without annotations. <strong>Annotation quality</strong> Inter-annotator agreement: 98% For more information, see the paper. <strong>Format:</strong> Annotations are distributed in Brat format. See Brat webpage for more information. In addition, annotations are also distributed in XML format (based on i2b2 XML format). In the Meddocan webpage, there is a script to convert between MEDDOCAN-Brat, MEDDOCAN-XML, and i2b2 formats. <strong>Shared task goal:</strong> In the three subtasks, the goal will be to predict the annotations given only the plain text files. <strong>Resources:</strong> <strong>Web</strong> <strong>Citation: </strong>Montserrat Marimon et al. “Automatic De-identification of Medical Texts in Spanish: the MEDDOCAN Track, Corpus, Guidelines, Methods and Evaluation of Results.” In: IberLEF@ SEPLN. 2019, pp. 618–638. <strong>Silver Standard corpus</strong> <strong>Annotation guidelines</strong> For further information, please visit https://temu.bsc.es/meddocan/ or email us at encargo-pln-life@bsc.es Copyright (c) 2019 Secretaría de Estado para el Avance Digital (SEAD)
description: Funded by the Plan de Impulso de las Tecnologías del Lenguaje (Plan TL).
DOI: 10.5281/zenodo.4279322
title: MEDDOCAN corpus: gold standard annotations for Medical Document Anonymization on Spanish clinical case reports

description: <strong>Intro:</strong> Meddocan shared task dataset (divided in train, dev and test). In addition, we include here the Meddocan background set. It contains the training, development and test sets of the Meddocan shared task with Gold Standard annotations. In addition, it contains the documents of the background set, without annotations. <strong>Annotation quality</strong> Inter-annotator agreement: 98% For more information, see the paper. <strong>Format:</strong> Annotations are distributed in Brat format. See Brat webpage for more information. In addition, annotations are also distributed in XML format (based on i2b2 XML format). In the Meddocan webpage, there is a script to convert between MEDDOCAN-Brat, MEDDOCAN-XML, and i2b2 formats. <strong>Shared task goal:</strong> In the three subtasks, the goal will be to predict the annotations given only the plain text files. <strong>Resources:</strong> <strong>Web</strong> <strong>Citation: </strong>Montserrat Marimon et al. “Automatic De-identification of Medical Texts in Spanish: the MEDDOCAN Track, Corpus, Guidelines, Methods and Evaluation of Results.” In: IberLEF@ SEPLN. 2019, pp. 618–638. <strong>Silver Standard corpus</strong> <strong>Annotation guidelines</strong> For further information, please visit https://temu.bsc.es/meddocan/ or email us at encargo-pln-life@bsc.es Copyright (c) 2019 Secretaría de Estado para el Avance Digital (SEAD)
description: Funded by the Plan de Impulso de las Tecnologías del Lenguaje (Plan TL).
DOI: 10.5281/zenodo.4271909
title: PharmaCoNER Silver Standard: Participant predictions in PharmaCoNER shared task

description: <strong>Introduction</strong> Predictions in the test and background set of PharmaCoNER participants. <strong>Zip structure</strong> One directory per PharmaCoNER participant. Within each participant directory, there is one directory per run. <strong>Corpus format description</strong> For subtask 1 annotations are distributed in Brat format. See Brat webpage for more information https://brat.nlplab.org/standoff.html For subtask-2, codes are associated with each document are given in a TSV file with the following columns: <pre>articleID code </pre> <br> <strong>Resources:</strong> <strong>Web</strong> <strong>Citation: </strong>A. G. Agirre, M. Marimon, A. Intxaurrondo, O. Rabal, M. Villegas, M. Krallinger, Pharmaconer: Pharmacological substances, compounds and proteins named entity recognition track, in: Proceedings of The 5th Workshop on BioNLP Open Shared Tasks, 2019, pp. 1–10. <strong>Gold Standard corpus</strong> <strong>Annotation guidelines</strong> <strong>PharmaCoNER tagger</strong> All credit to PharmaCoNER participants. For further information, please visit https://temu.bsc.es/pharmaconer/ or email us at encargo-pln-life@bsc.es Copyright (c) 2018 Secretaría de Estado para el Avance Digital (SEAD)
description: Funded by the Plan de Impulso de las Tecnologías del Lenguaje (Plan TL).
DOI: 10.5281/zenodo.4271908
title: PharmaCoNER Silver Standard: Participant predictions in PharmaCoNER shared task

description: <strong>Introduction</strong> Predictions in the test and background set of PharmaCoNER participants. <strong>Zip structure</strong> One directory per PharmaCoNER participant. Within each participant directory, there is one directory per run. <strong>Corpus format description</strong> For subtask 1 annotations are distributed in Brat format. See Brat webpage for more information https://brat.nlplab.org/standoff.html For subtask-2, codes are associated with each document are given in a TSV file with the following columns: <pre>articleID code </pre> <br> <strong>Resources:</strong> <strong>Web</strong> <strong>Citation: </strong>A. G. Agirre, M. Marimon, A. Intxaurrondo, O. Rabal, M. Villegas, M. Krallinger, Pharmaconer: Pharmacological substances, compounds and proteins named entity recognition track, in: Proceedings of The 5th Workshop on BioNLP Open Shared Tasks, 2019, pp. 1–10. <strong>Gold Standard corpus</strong> <strong>Annotation guidelines</strong> <strong>PharmaCoNER tagger</strong> All credit to PharmaCoNER participants. For further information, please visit https://temu.bsc.es/pharmaconer/ or email us at encargo-pln-life@bsc.es Copyright (c) 2018 Secretaría de Estado para el Avance Digital (SEAD)
description: Funded by the Plan de Impulso de las Tecnologías del Lenguaje (Plan TL).
DOI: 10.5281/zenodo.7278303
title: LatticeQuarkProp/Vertex: Quark propagator and quark-gluon vertex with O(a) improved Wilson fermions

description: Data for the quark propagator and quark-gluon vertex, from lattice simulations with Nf=2 Wilson-clover fermions. Files M_hyb_*.dat and Z_*.dat are data used in figs 3 and 4 of arXiv:1809.05421. These are plain text (3 columns, legend at top of each file). VertexData.zip contains the form factors lambda_1, lambda_2, lambda_3 in the soft gluon limit, presented in arXiv:2103.02945. The content and format of the files is explained in the document VertexData_Info.pdf
description: {"references": ["https://doi.org/10.1103/PhysRevD.103.114515", "https://doi.org/10.1103/PhysRevD.99.094506"]}
DOI: 10.5281/zenodo.7278304
title: Quark propagator with two flavors of O(a)-improved Wilson fermions

description: Data for the quark propagator, from lattice simulations with Nf=2 Wilson-clover fermions.