cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/47wdjmw9xr.1
title: Omics Analysis of Native Oleaginous Microalgae From The Peruvian Amazon

description: This dataset contains the Transcriptome Shotgun Assembly Sequences of three species of native oleaginous microalgae isolated from aquatic environmets from the Peruvian Amazon. High-quality raw sequences were de novo assembled with the software Trinity v2.9.1. Additionally, in this dataset are included results obtained with BUSCO, TransDecoder, KAAS Annotation, and FunctionAnnotator Analysis.
DOI: 10.18167/dvn1/gstazg
title: Body Condition Scoring Grid for Ndama cattle (Ivory Coast)

description: In tropical countries, and especially in Sub-Saharan Africa, subject to significant quantitative and qualitative variations in the availability of fodder during the year, the dissatisfaction of feed needs is a frequent situation for animals reared in grazing systems without a sufficient supplementation with feed concentrates. The Body Condition Scoring (BCS) is a useful way to assess the state of body reserves (subcutaneous fat, muscle mass) which reflects the animal's production (growth, milk, work) and reproduction capacities. The evaluation of the body reserves of an animal through the scoring of their body condition is important to adjust their diet and appreciate their general state of health, as well as their reproductive and production capacity (meat, milk, work, etc.). Managing body reserves is one way of responding to variability in quality and access to feed resources. In females, reserves play an important buffer role during lactation. They can make up for insufficient intakes from the ration. Indeed, the level of production depends on the nutrients provided by the feeds, but also on the animal's body reserves when the feed-based supplies do not fully cover their needs, especially during the dry season. The BCS impacts the interval between two calving. Overly lean females show a delay in the return of heat after calving, the direct consequence of which is the increase in the parturition interval and consequently a decrease in herd productivity. The assessment of these reserves through Body Condition Scoring (BCS) represents a management tool for livestock farmers, agricultural advisors, and livestock development stakeholders. BCS is a simple, inexpensive and fast method. Several animals can be scored in one session. It allows to compare the BCS of individuals or herds: 1) raised in different production systems or environments, 2) or, during different seasons (dry season and rainy season). BCS can be used as a tool for monitoring and alerting the nutritional level of domestic animal populations. To do this, BCS alert thresholds and a BCS collection and monitoring system must be defined on reasoned samples of animal populations. It is an easy-to-use field tool. However, a good mastery of the BCS grid as well as a regular practice of scoring are necessary to obtain precise and reproducible ratings. It can also be used as a tool for monitoring and alerting the nutritional level of animal populations. Thus, the farmer can be called at any time to intervene on the feed ration and / or the health of the animal. In 2020, Vall proposed a standardized BCS scoring system for tropical livestock animals for large animals (cattle, camels), small animals (sheep, and goats) and for donkeys, and horses. This document presents this BCS system applied to the Ndama cattle (Bos Taurus) of Ivory Coast.
DOI: 10.18167/dvn1/ksupq5
title: Body Condition Scoring Grid for Camel (Sahel and Saharan areas)

description: This dataset presents a Body Condition Scoring gried for the Camels living in the Sahel and Saharan areas. We propose a BCS grid with six levels admitting the hypothesis that in the camel populations, extreme animals could be present, being very thin (nutritional state worsened by parasitism), or very fatty.
DOI: 10.20783/dias.645
title: The Japanese Reanalysis for Three Quarters of a Century
title: JRA-3Q

description: The Japan Meteorological Agency is currently conducting the Japanese Reanalysis for Three Quarters of a Century (JRA-3Q), which covers the period from September 1947 onward to extend the current period of data coverage and improve the quality of long-term reanalysis. The project involves a sophisticated data assimilation system (based on the operational set-up as of December 2018) incorporating development results from the operational NWP system and sea surface temperature analysis achieved since the Japanese 55-year Reanalysis (JRA-55, based on the operational set-up as of December 2009). New datasets of past observations are also assimilated, including rescued historical observations and reprocessed satellite data supplied by meteorological and satellite centers worldwide. Many of the deficiencies of JRA-55 are alleviated in JRA-3Q, providing a high-quality homogeneous reanalysis dataset that covers the previous 75 years.
DOI: 10.24378/exe.5606
title: Threading light through dynamic complex media (dataset)

description: This is the dataset used for the Mididoddi et al. (2025) article "Threading light through dynamic complex media".
DOI: 10.24381/cds.29c46d83
title: Sea ice edge and type daily gridded data from 1979 to present derived from satellite observations
DOI: 10.26050/wdcc/esaccipsmvsbsiov2
title: ESA-CCI_Phase2_Standardized_Manual_Visual_Ship-Based_SeaIceObservations_v02

description: Project: ESA-CCI sea-ice-ecv project phase 2 bi-polar standardized manual visual ship-based sea-ice observations - The European Space Agency - Climate Change Initiative (ESA-CCI) sea-ice Essential Climate Variable (ECV) project, phase 2, (ESA-SICCI2) ran from 2015 through 2018 (see http://esa-cci.nersc.no/). The main aim of phase 2 of the ESA-SICCI project was to further enhance development, production and evaluation of satellite-based sea ice ECV data sets, namely of sea-ice concentration and sea-ice thickness. One element of the evaluation of the ECVs produced was the comparison of the sea-ice ECV data sets with manual, visual ship-based observations of the sea-ice cover. For this purpose, within ESA SICCI phase 2, a standardized data set of such observations was created for both polar regions covering the period June 2002 through December 2015. These observations comprise visual, i.e. by human eye, regularly and manually conducted observations of the total sea-ice concentration and various other sea-ice parameters of the three thickest sea-ice types within a radius of one kilometer around the ship while the ship cruises through polar waters. Summary: The data set incorporates observational data from various collections, e.g. a part of the original ASPeCt collection [Worby et al., 2008], which ended in May 2005. More information about all data sources is given in the global attributes of the netCDF files and in two separate reference lists. All data have been manually standardized to the same format (i.e., number of decimals, unit), using the same value to describe missing data, using the same temporal ordering, and filling gaps with the respective missing-data value. Double data entries have been removed. Dubious / obviously wrong entries have been set to missing values. The data set is available as two separate netCDF files, one for the Arctic, one for the Antarctic. It is additionally available as two separate ascii-text files under https://icdc.cen.uni-hamburg.de/en/seaiceparameter-shipobs.html , where the netCDF files are available as well. The data set has been successfully used to evaluate sea-ice concentration and thickness products of the ESA-SICCI phase 2 project.
DOI: 10.5066/f7mg7mm6
title: Mineral facilities of Latin America and the Caribbean

description: This dataset presents information about facilities relating to the mineral industries of Latin America and the Caribbean. Facilities include mines, mineral processing plants (including refineries and smelters), oil and gas field locations, and petroleum refineries. Relevant data fields include the mineral commodity, specific forms of the mineral commodity produced, location information, facility name, operator, ownership of the facility, annual production capacity, operational status, as well as geographic coordinates and locational accuracy. These data are derived from data presented by country by the Global Minerals Analysis section of the U.S. Geological Survey's (USGS) National Minerals Information Center (NMIC) in Volume III (International Reports) of the annual Minerals Yearbook.
DOI: 10.5067/inawuwo7qh7b
title: Polar Pathfinder Daily 25 km EASE-Grid Sea Ice Motion Vectors, Version 4
DOI: 10.5067/seabass/exports/data001
title: EXPORTS
DOI: 10.5281/zenodo.10365813
title: Data for: The Precipitation Response to Warming and CO2 Increase: A Comparison of a Global Storm Resolving Model and CMIP6 Models

description: Data to reproduce figures in manuscript "The Precipitation Response to Warming and CO$_2$ Increase: A Comparison of a Global Storm Resolving Model and CMIP6 Models" submitted to GRL
DOI: 10.5281/zenodo.10655351
title: X-SHiELD model verification figures, related to: "The Precipitation Response to Warming and CO$_2$ Increase: A Comparison of a Global Storm Resolving Model and CMIP6 Models"

description: Figures comparing differrent fields in X-SHiELD with observations. Similar information can be recived at https://extranet.gfdl.noaa.gov/%7EAlex.Kaltenbaugh/verification/
DOI: 10.5281/zenodo.10947891
title: Data for Solar Eclipse 2006 March
DOI: 10.5281/zenodo.13647589
title: Dataset supporting "Predictable Patterns of Seasonal Atmospheric River Variability Over North America During Winter"

description: A dataset containing selected outputs from real time forecasts and hindcasts produced by the Seamless System for Prediction and Earth System Research (SPEAR). Variables in the dataset include atmospheric river frequency, surface temperature, 500 hPa geopotential height and precipitation. The period covers 1991 through 2023 averaged seasonally in the months December through February. Forecasts initialized in a given month "MM" are stored in subdirectories and files with the indicator "iMM," where MM varies from 03 to 12 (March through December). A pair of python scripts demonstrating average predictability time analysis are also included. This data is associated with the study "Predictable Patterns of Seasonal Atmospheric River Variability over North America during Winter," by Clark et al.
DOI: 10.5281/zenodo.13942575
title: Dataset for paper From orogeny to rifting: the role of inherited structures during the formation of the South China Sea

description: The data for graviational petential engery (GPE) calculation and P-T-t path of the reference model M1 can be found in the folder.
DOI: 10.5281/zenodo.13984265
title: Dataset for Water Resource / Forest Restoration Modeling in Tahoe-Central Sierra Region

description: This dataset includes materials related to a water resource modeling project in the Tahoe-Central Sierra Initiative (TCSI) region. The project used the DHSVM and LANDIS-II models to predict the potential hydrological impacts of various forest management scenarios related to partial or full restoration of the historic forest disturbance return interval.

This dataset includes:



Folders for each figure in the submitted manuscript, including data and scripts needed to reproduce the figures.

Model results, including CSV files of raw streamflow outputs from DHSVM, a combined CSV file of mass/energy balance outputs from DHSVM, and geoTIFF rasters of various snowpack states from DHSVM. Additionally, post-processed data are included, such as aggregated streamflow products and comparisons between management scenarios.

Ancillary data related to the model setup, calibration, and scenario implementation, including meteorology, configuration files, watershed boundaries, output vegetation maps from LANDIS-II used as inputs to DHSVM, and calibration reference data.
DOI: 10.5285/b1f1ac03077b4aa784c5a413a2210bf5
title: ESA Sea Ice Climate Change Initiative (Sea_Ice_cci): Southern hemisphere sea ice thickness from the Envisat satellite on a monthly grid (L3C), v2.0

description: This dataset provides a Climate Data Record of Sea Ice Thickness for the southern hemisphere polar region, derived from the RA-2 (Radar Altimeter -2) instrument on the Envisat satellite at Level 3C (L3C). This product was generated in the context of the ESA Climate Change Initiative Programme (ESA CCI) by the Sea Ice CCI (Sea_Ice_cci) project. It provides monthly gridded sea ice thickness data on a Lambeth Azimuthal Equal Area Projection for the period October 2002 to March 2012. Note, the southern hemisphere sea ice thickness dataset is an experimental climate data record, as the algorithm does not properly considers the impact of the complex snow morphology in the freeboard retrieval. Sea ice thickness is provided for all months but needs to be considered biased high in areas with high snow depth and during the southern summer months. Please consult the Product User Guide (PUG) for more information.
DOI: 10.5285/f4c34f4f0f1d4d0da06d771f6972f180
title: ESA Sea Ice Climate Change Initiative (Sea_Ice_cci): Northern hemisphere sea ice thickness from the Envisat satellite on a monthly grid (L3C), v2.0

description: This dataset provides a Climate Data Record of Sea Ice Thickness for the northern hemisphere polar region, derived from the RA-2 (Radar Altimeter -2) instrument on the ENVISAT satellite at Level 3C (L3C). This product was generated in the context of the ESA Climate Change Initiative Programme (ESA CCI) by the Sea Ice CCI (Sea_Ice_cci) project. It provides monthly gridded sea ice thickness data on a Lambeth Azimuthal Equal Area grid for the period October 2002 to March 2012. Data is only available for the NH winter months, October - April.
DOI: 10.5676/dwd_gpcc/fd_m_v7_250
title: GPCC Full Data Reanalysis Version 7.0 at 2.5°: Monthly Land-Surface Precipitation from Rain-Gauges built on GTS-based and Historic Data
title: Gridded Monthly Totals

description: This is the centennial GPCC Full Data Reanalysis of monthly global land-surface precipitation based on the 75,000 stations world-wide that feature record durations of 10 years or longer. This product contains the monthly totals on a regular grid with a spatial resolution of 2.5° x 2.5° latitude by longitude. Precipitation anomalies at the stations are interpolated and then superimposed on the GPCC Climatology V2015 in the corresponding resolution (DOI: 10.5676/DWD_GPCC/CLIM_M_V2015_250). The temporal coverage of the dataset ranges from January 1901 until December 2013. The GPCC Full Data Reanalysis is the most accurate in situ precipitation reanalysis data set of GPCC. Moreover it supports regional climate monitoring, model validation, climate variability analysis and water resources assessment studies.
description: General user recommendations: Users are referred to following gridded Global Precipitation Climate Centre (GPCC) products: GPCC Climatology 1951-2000 (GPCC_CLIM) with high representativeness, for application as a reference, and for utilization of the anomaly interpolation method. GPCC Full Data Reanalysis (GPCC_FD) with high accuracy, for, e.g., verification of models, or for analysis of historic global precipitation, or for research concerning the global water cycle, e.g., trend and teleconnection analyses. GPCC Monitoring Product (GPCC_MP) with high availability and reasonable timeliness, for applications like calibration of satellite data, or early annual reporting. GPCC First Guess Product (GPCC_FG) with high timeliness, to be applied for, e.g., drought monitoring.
DOI: 10.7284/107709
title: ADCP (Acoustic Doppler Current Profiler) data collected during research cruise MGL1111 using a Hawaii UHDAS instrument system onboard the platform RV Marcus G. Langseth

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.12770/ff3aff8a-cff1-44a3-a2c8-1910bf109f85
title: EMODnet Digital Bathymetry (DTM 2022)

description: The "EMODnet Digital Bathymetry (DTM)- 2022" is a multilayer bathymetric product for Europe’s sea basins covering: • the Greater North Sea, including the Kattegat and stretches of water such as Fair Isle, Cromarty, Forth, Forties,Dover, Wight, and Portland • the English Channel and Celtic Seas • Western Mediterranean, the Ionian Sea and the Central Mediterranean Sea • Iberian Coast and Bay of Biscay (Atlantic Ocean) • Adriatic Sea (Mediterranean) • Aegean - Levantine Sea (Mediterranean). • Madeira and Azores (Macaronesia) • Baltic Sea • Black Sea • Norwegian and Icelandic Seas • Canary Islands (Macaronesia) • Arctic region and Barentz Sea The DTM is based upon 21937 bathymetric survey data sets and Composite DTMs that have been gathered from 64 data providers from 28 countries riparian to European seas and beyond. Also Satellite Derived Bathymetry data products have been included fro Landsat 8 and Sentinel satellite images. Areas not covered by observations are completed by integrating GEBCO 2022 and IBCAO V4. The source reference layer in the portal viewing service gives metadata of the data sets used with their data providers; the metadata also acknowledges the data originators. The incorporated survey data sets itself can be discovered and requested for access through the Common Data Index (CDI) data discovery and access service that in December 2022 contained &gt; 41.000survey data sets from European data providers for global waters. The Composite DTMs can be discovered through the Sextant Catalogue service. Both discovery services make use of SeaDataNet standards and services and have been integrated in the EMODnet portal (https://emodnet.ec.europa.eu/en/bathymetry#bathymetry-services ). In addition, the EMODnet Map Viewer (https://emodnet.ec.europa.eu/geoviewer/ ) gives users wide functionality for viewing and downloading the EMODnet digital bathymetry such as: • water depth (refering to the Lowest Astronomical Tide Datum - LAT) in gridded form on a DTM grid of 1/16 * 1/16 arc minute of longitude and latitude (ca 115 * 115 meters). • option to view depth parameters of individual DTM cells and references to source data • option to download DTM in 58 tiles in different formats: ESRI ASCII, XYZ, EMODnet CSV, NetCDF (CF), GeoTiff and SD • option to visualize the DTM in 3D in the browser without plug-in • layer with a number of high resolution DTMs for coastal regions • layer with wrecks from the UKHO Wrecks database. The EMODnet DTM is also available by means of OGC web services (WMS, WFS, WCS, WMTS), which are specified at the EMODnet Bathymetry portal. The original datasets themselves are not distributed but described in the metadata services, giving clear information about the background survey data used for the DTM, their access restrictions, originators and distributors and facilitating requests by users to originator.
DOI: 10.13026/07hj-2a80
title: MIMIC-IV

description: Retrospectively collected medical data has the opportunity to improve patient
care through knowledge discovery and algorithm development. Broad reuse of
medical data is desirable for the greatest public good, but data sharing must
be done in a manner which protects patient privacy. Here we present Medical
Information Mart for Intensive Care (MIMIC)-IV, a large deidentified dataset
of patients admitted to the emergency department or an intensive care unit at
the Beth Israel Deaconess Medical Center in Boston, MA. MIMIC-IV contains data
for over 65,000 patients admitted to an ICU and over 200,000 patients admitted
to the emergency department. MIMIC-IV incorporates contemporary data and
adopts a modular approach to data organization, highlighting data provenance
and facilitating both individual and combined use of disparate data sources.
MIMIC-IV is intended to carry on the success of MIMIC-III and support a broad
set of applications within healthcare.
DOI: 10.1594/pangaea.767453
title: (Table 2) Stable isotope analysis of Nuttallides truempyi and Rugoglobigerina rugosa from DSDP Site 62-463

description: Strong climatic and temperature fluctuations mark the Late Campanian and Maastrichtian as indicated by stable isotope records from the equatorial Pacific (Site 463) and middle and high latitude South Atlantic (Sites 525, 689 and 690). The first major global cooling decreased intermediate water temperatures (IWT) by 5-6°C between 73-70 Ma. At the same time, sea surface temperature (SST) decreased by 4-5°C in middle and high latitudes. Intermediate waters (IW) temporarily warmed by 2°C in low and middle latitudes between 70-68.5 Ma. Global cooling resumed between 68.5-65.5 Ma when IWT decreased by 3-4°C and SST by 5°C in middle latitudes. About 450 ka before the Cretaceous-Tertiary boundary rapid global warming increased IWT and SST by 3-4°C, though SST in the tropics changed little. During the last 200 ka of the Maastrichtian, climate cooled rapidly with IWT and SST decreasing by 2-3°C. During the global cooling at 71-70 Ma and possibly at 67-65.5 Ma, the sources of cold intermediate waters in the equatorial Pacific, Indo-Pacific and South Atlantic were derived from the high latitude North Pacific. In contrast, during the global climate warming between 65.2-65.4 Ma, the middle latitude South Atlantic was closest to the source of IW production and implies that the low latitude Tethys played a major role in global climate change. Climate changes, sea-level fluctuations and associated restricted seaways appear to be the most likely mechanisms for the alternating sources of IW production.
DOI: 10.17596/0002029
title: JAMSTEC OFES (Ocean General Circulation Model for the Earth Simulator) Dataset

description: OFES (OGCM for the Earth Simulator) and the Earth Simulator enable to perform decadal integrations of eddy resolving ocean simulations in the world ocean. The Earth Simulator Center (ESC) and Frontier Research Center for Global Change (FRCGC) in Japan Agency for Marine-Earth Science and Technology (JAMSTEC) promote OFES research project and collaborate with several research groups. The outputs from OFES quasi-global eddy-resolving simulation are available.
DOI: 10.17632/4drtyfjtfy.1
title: Multi-class Weather Dataset for Image Classification

description: Multi-class weather dataset(MWD) for image classification is a valuable dataset used in the research paper entitled “Multi-class weather recognition from still image using heterogeneous ensemble method”. The dataset provides a platform for outdoor weather analysis by extracting various features for recognizing different weather conditions.
DOI: 10.17632/6r8mgg255f.1
title: Datasets for Valence/spin states of iron in peridotite glass to megabar pressure implications for dense iron-rich silicate melt at the bottom of the mantle

description: Datasets for Valence/spin states of iron in peridotite glass to megabar pressure implications for dense iron-rich silicate melt at the bottom of the mantle
DOI: 10.17632/kjs3wch7v2.1
title: Southern Ocean Sea Ice Data for 2023, 3-day SIE change, Amundsen Sea Low, Zonal Wave 3

description: Southern Ocean Sea Ice Data for 2023, 3-day SIE change, Amundsen Sea Low, Zonal Wave 3
DOI: 10.17632/wmy84gzngw.1
title: Breast Ultrasound Image

description: This database contains 250 breast cancer images, 100 benign and 150 malignant. It is a database already widely used in the literature.