Sharing and preserving data are central to protecting the integrity of science. DataHub, a Research Computing endeavor, provides tools and services to meet scientific data challenges at Pacific Northwest National Laboratory (PNNL). DataHub helps researchers address the full data life cycle for their institutional projects and provides a path to creating findable, accessible, interoperable, and reusable (FAIR) data products. Although open science data is a crucial focus of DataHub’s core services, we are interested in working with evidence-based data throughout the PNNL research community.

The dataset includes polygons representing the location and attributes of Central Employment Area (CEA). The CEA is the core area of the District of Columbia where the greatest concentration of employment in the city and region is encouraged, created as part of the DC Geographic Information System (DC GIS) for the D.C. Office of the Chief Technology Officer (OCTO) and participating D.C. government agencies. Jurisdictions were identified from public records (map and written description created by the National Capital Planning Commission) and heads-up digitized from the 1995 orthophotographs.

This dataset contains 120 major GMS tourism sites.

COVID-19 infected case was first detected on January 22, 2020 in Vietnam. Determined to leave no one behind, the central government has been working closely to make timely policy decisions to deal with the disease. A series of decisions, official letters, telegrams and related policies are collected and recorded by ODV in this data set. The dataset is updated all three days frequently.

This point feature class represents the locations of Detention Facilities within the City of Miami boundary. The data has been obtained from Miami-Dade County Open Data Hub and clipped to contain only facilities that fall within the city limits. For a countywide layer, please refer to Miami-Dade County Open Data Hub at https://gis-mdc.opendata.arcgis.com/.The Emergency Services Communities and Management dataset provides critical information on the physical locations, infrastructure, and operational systems that support a community’s ability to prepare for, respond to, and recover from emergencies. This dataset enhances public safety and security, enables efficient evacuations, and strengthens community resilience. It also supports interagency coordination, helping protect lives and property while improving overall preparedness and emergency response capabilities.Data Refresh Frequency: This dataset is refreshed on a weekly basis, regardless of whether any updates have occurred in the source data. Users should note that the data is reprocessed and reloaded each week to ensure availability and consistency, even in the absence of changes.

A geospacial dataset of the main tourist sites in Laos.

The ISRIC – World Soil Information Soil Data Hub is a central location for searching and downloading soil data from around the world.

ISRIC, is a regular member of the International Science Council (ISC) World Data System. We support Open Data whenever possible, respecting inherited rights (licences).

We make our own soil information products available to data users under Creative Commons licenses (CC BY-NC or CC BY for datasets, and CC BY 4.0 for derived predictions and visualisations). Details are provided in the ISRIC Data and Software Policy.

Can’t find what you are looking for? Please take a look at our collection of soil geographical databases to explore soil data available outside ISRIC-World Soil Information via https://www.isric.org/explore/soil-geographic-databases.

Disclaimer: By using the ISRIC data and web services, the user accepts the ISRIC data and software policy in full. In order to acknowledge the scientists and/or organisations that have provided data or products, ISRIC requests that data users include a bibliographic citation to all materials supplied through ISRIC in output products, websites, and publications.

Discrete sample data from manual field collection and laboratory analyses taken since 2020. It contains water quality, sediment, biological, air, and soil samples from monitoring locations across the Central Texas Coastal Subregion of Texas, Hydrologic Unit Code (HUC) 1210.

Timeseries data from 'Central, Central' (urn:ioos:station:gov.noaa.nws:PACE)

This summary describes the programs and services VA provided in Iowa in fiscal year 2015.

National level Central Committee on COVID-19 prevention announce that the prevention, control and treatment of Coronavirus Disease 2019 (COVID-19), will be extended to 15 December 2020 as it is required to continue the containment of Coronavirus Disease 2019 (COVID-19).

This dataset is comprised of issues received by the City of Austin's Mobility Management Center, which is operated by the Austin Transportation & Public Works Department's Arterial Management Division.

These records are comprised of both resident-reported issues via 311 as well as issues reported directly to the Mobility Management Center by staff or regional agencies.

This dataset is related to the Mobility Management Center Activities dataset, which captures specific actions taken in response to these issues.

See:

Activities dataset: https://data.austintexas.gov/dataset/-UNDER-CONSTRUCTION-Mobility-Management-Center-Act/p7pt-re4k

Arterial management division homepage: https://www.austintexas.gov/department/arterial-management

Geodatabase containing feature classes and raster data associated with the groundwater availability model (GAM) developed for the central portion of the Carrizo-Wilcox, Queen City, and Sparta Aquifers. The geodatabase includes geospatial data relating to boundaries, climate, geochemistry, geology, hydraulic properties, pumping, soil, surface hydrology, and water levels of the central portion of the Carrizo-Wilcox, Queen City, and Sparta Aquifers.

The geodatabase on maritime transport in EU main ports includes goods, passengers and vessels traffic in the EU and was created in 2014 by Eurofish and Cogea for the European Marine Observation and Data Network (EMODnet). It is the result of the aggregation and harmonization of datasets provided to EUROSTAT by ports in EU Member States and Norway. EUROSTAT data have been related to GISCO's georeferenced ports dataset. These datasets are updated on an annual basis. The latest update includes data up to 2019 (where available). All data are now available from 2001 onwards. Goods traffic data are reported in thousand tonnes by type of cargo and direction. Passengers traffic data are reported in thousand passengers (excluding cruise passengers) by direction and traffic type. Vessels traffic data are reported in unit and gross tonnage (thousand) of vessels by vessel size class and vessel type. Original data is reported quarterly by EUROSTAT, but has been aggregated on an annual basis to produce this dataset.

Mission:

The Central and Northern California Ocean Observing System (CeNCOOS) is a collaborative that enables sustained and coordinated measurements, model nowcasts and forecasts, and integrated products to inform decisions about our regional ocean.

Vision:

CeNCOOS will be a leader within U.S. IOOS, and be recognized and relied upon regionally and nationally as a trusted source of data, information, and expertise to inform wise use of the ocean off central and northern California.

The Central Data Repository is part of the Reportnet architecture. The Central Data Repository is like a bookshelf, with data reports on the environment as submitted to international clients.

NASA Products for the Central US Floods in Late Spring 2019

This is a dataset on production of electric power (1985-2014 (provisional)) downloaded from The Myanmar Information System (MMSIS) which is a web-based national database of statistics about Myanmar developed by the Central Statistical Organization (CSO).

173 views (4 recent) Dataset comprising national quaterly number of vessel in european ports by type and size of vessels.

NewEnergy in partnership with SNV conducted a survey to collect baseline data about the energy situation in Central Gonja District in April-June 2012. This exercise is part of a renewable energy project initiated by SNV in a number of districts in the three Northern Regions. The survey was conducted in 300 households, 60 small scale enterprises and 15 public/social service institutions in 6 villages in the Central Gonja District. Citation: SNV Ghana & Negawatt challenge. A curated list of datasets for the World Bank Negawatt Challenge competition in Accra and Nairobi cities: https://datahub.io/organization/negawatt-challenge