Skip to main content
Advanced Search

Filters: Tags: data integration (X)

15 results (47ms)   

Filters
Date Range
Extensions
Types
Contacts
Categories
Tag Types
Tag Schemes
View Results as: JSON ATOM CSV
thumbnail
This ArcGIS shapefile shows the known locations of beaver dams in the Tualatin Basin. The dam location information was generated by multiple local agencies, groups, and organizations. The local sources had identified the beaver dams between 2011 and 2019. USGS worked with these local sources to combine all data into one inventory.
The Great Basin Landscape Conservation Cooperative’s (Great Basin LCC) Conservation Planning Atlas (CPA) is a new geospatial portal that allows users to create and share unique mapping products. It incorporates over 1000 spatial data layers related to conservation of the Great Basin’s many natural and cultural resources. The CPA provides managers, researchers and planners from state, federal, local, NGO and private partners a valuable suite of tools for collaborative spatial planning. All of this information is housed in a single website where readers can access regional spatial layers, decision support tools, and Great Basin LCC project information and products. The CPA is one key part in the Great Basin LCC’s...
thumbnail
Landscape Conservation Cooperatives (LCCs) have a critical need for information management processes that facilitate science product (i.e., data, analysis and decision tools, documents) sharing; data storage, security, and dissemination; and project tracking, communication and collaboration tools (Arctic LCC 2010, North Atlantic LCC 2011, Southern Rockies LCC 2011, California LCC 2011). LCCs and their partners are already developing and using a wide variety of data management systems to address LCC and project needs, but the LCC Network and all partners need better coordination across these efforts to develop and share common standards and services, improving the intellectual exchange needed to achieve the LCC mission....
FY2014The Conservation Biology Institute (CBI) will work with the Great Basin to develop a Conservation Planning Atlas (also commonly called gateways) using Data Basin technology (www.databasin.org) to serve the data integration, collaboration and partner engagement needs.Conservation Planning Atlases (CPA) are a customized interface of the Data Basin platform that include special branding, curation of spatial content, direct links to selected sites (e.g., other LCC Conservation Planning Atlas (e.g., nplcc.databasin.org), additional upload capacity if needed, and access to premium analytical tools. The CPA will allow Great Basin LCC staff and stakeholders to integrate spatial information to coordinate and promote...
These four tables document the data used to draw the findings in the manuscript “Measuring sustainability of seed-funded Earth science informatics projects,” by Hsu et al. Table 1, “ListProjects-data” lists the projects funded by the Community for Data Integration from 2010-2016. Table 2, “Outputs-data” lists the deliverables that were proposed and delivered to the Community for Data Integration from 2010-2016, and notes if they were still accessible or sustained at the time of this study (December 2018). Table 3, “Influences-and-Sustainabiltiy-data” lists the projects and the sustainability influences examined in this study, as well as if the project achieved individual-level or organizational-level sustainability....
thumbnail
This ArcGIS shapefile shows the known locations of beaver activity (including beaver chews, lodges, and dams) in the Tualatin Basin. USGS was intending to collect information about the locations of beaver dams. Often, the GPS coordinates of dams were not known, but the beaver-affected areas were known. The information about locations with beaver activity was generated by multiple local agencies, groups, and organizations. The local sources had identified the beaver activity locations between 2013 and 2016. USGS worked with these local sources to combine all data into one inventory.
thumbnail
A rich legacy of geochemical data produced since the early 1960s covers the great expanse of Alaska; careful treatment of such data may provide significant and revealing geochemical maps that may be used for landscape geochemistry, mineral resource exploration, and geoenvironmental investigations over large areas. To maximize the spatial density and extent of data coverage for statewide mapping of element distributions, we compiled and integrated analyses of more than 175,000 sediment and soil samples from three major, separate sources: the U.S. Geological Survey, the National Uranium Resource Evaluation program, and the Alaska Division of Geological & Geophysical Surveys geochemical databases. Various types of...
thumbnail
USGS met with 13 local groups and organizations around the Portland, Oregon region to collect information regarding the locations of beaver dams in the Tualatin Basin. The local sources had identified beaver dams between 2011 and 2019, and data were compiled by USGS into an ArcGIS shapefile. Often, the local groups did not know the GPS coordinates of beaver dams, but they had identified beaver-affected reaches during that same time period. Therefore, a second shapefile was created to include the locations of beaver activity (including beaver chews, lodges, and dams) in the Tualatin Basin. The Beaver Dam Locations ArcGIS shapefile shows the known locations of beaver dams in the Tualatin Basin. The Beaver Activity...
thumbnail
This geodatabase reflects the U.S. Geological Survey’s (USGS) ongoing commitment to its mission of understanding the nature and distribution of global mineral commodity supply chains by updating and publishing the georeferenced locations of mineral commodity production and processing facilities, mineral exploration and development sites, and mineral commodity exporting ports in Africa. The geodatabase and geospatial data layers serve to create a new geographic information product in the form of a geospatial portable document format (PDF) map. The geodatabase contains data layers from USGS, foreign governmental, and open-source sources as follows: (1) mineral production and processing facilities, (2) mineral exploration...
Tags: Africa, Algeria, Angola, Benin, Botswana, All tags...
thumbnail
A rich legacy of geochemical data produced since the early 1960s covers the great expanse of Alaska; careful treatment of such data may provide significant and revealing geochemical maps that may be used for landscape geochemistry, mineral resource exploration, and geoenvironmental investigations over large areas. To maximize the spatial density and extent of data coverage for statewide mapping of element distributions, we compiled and integrated analyses of more than 175,000 sediment and soil samples from three major, separate sources: the U.S. Geological Survey, the National Uranium Resource Evaluation program, and the Alaska Division of Geological & Geophysical Surveys geochemical databases. Various types of...
The Great Basin LCC Conservation Planning Atlas (CPA) brings cloud-based functionality and collaborative features to a geospatial platform for conservation initiatives across the Great Basin. The CPA resides within the Data Basin online platform, allowing users and groups to create unique collaborative mapping products for their projects. Drawing on over 16,000 datasets currently in Data Basin–including high-priority datasets from LANDFIRE, BLM, USGS, and others–users are able to share maps within public or private groups and then to dynamically interact with those products as a group. In addition to the collaborative planning features, the CPA also provides the Great Basin LCC with another platform through which...
The United States Geological Survey (USGS) - Science Analytics and Synthesis (SAS) - Gap Analysis Project (GAP) manages the Protected Areas Database of the United States (PAD-US), an Arc10x geodatabase, that includes a full inventory of areas dedicated to the preservation of biological diversity and to other natural, recreation, historic, and cultural uses, managed for these purposes through legal or other effective means. The PAD-US is developed in partnership with many organizations, including coordination groups at the [U.S.] Federal level, lead organizations for each State, and a number of national and other non-governmental organizations whose work is closely related to the PAD-US. Learn more about the USGS...
thumbnail
A rich legacy of geochemical data produced since the early 1960s covers the great expanse of Alaska; careful treatment of such data may provide significant and revealing geochemical maps that may be used for landscape geochemistry, mineral resource exploration, and geoenvironmental investigations over large areas. To maximize the spatial density and extent of data coverage for statewide mapping of element distributions, we compiled and integrated analyses of more than 175,000 sediment and soil samples from three major, separate sources: the U.S. Geological Survey, the National Uranium Resource Evaluation program, and the Alaska Division of Geological & Geophysical Surveys geochemical databases. Various types of...
The Province of British Columbia, Ministry of Forests, Lands, & Natural Resource Operations, in partnership with Simon Fraser University and the Alaska Coastal Rainforest Center, led a third workshop to develop cross-boundary geospatial and climate data sets in support of regional conservation applications across NPLCC international boundaries. The workshop will provide opportunities for communicating and discussing priorities for the exchange, development and unification of geospatial and climate datasets.
Categories: Data, Project; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: AK-0, Academics & scientific researchers, Alaska, B.C. North Cascades, B.C. North Cascades, All tags...


    map background search result map search result map Cross Boundary Data Integration III- Landcover Data Data Supporting The Geochemical Atlas of Alaska, 2016 The Geochemical Atlas of Alaska, 2016 - Geochem Data The Geochemical Atlas of Alaska, 2016 - Watershed Boundary Dataset Means Beaver dam locations and beaver activity in the Tualatin Basin, Oregon (ver. 2.0, November 2019) Data Integration Workshop in Support of the Coastal Temperate Rainforest of Southeast Alaska and British Columbia Beaver dam locations in the Tualatin Basin, Oregon, between 2011 and 2019 Beaver activity locations in the Tualatin Basin, Oregon, between 2013 and 2016 Integrated Data Management Network for LCCs and Partners: A Framework for Coordinated Data Discovery, Access, Analysis, Visualization, Project Tracking and Coordination Development of a Conservation Planning Atlas to Improve Regional GIS Data Integration, Collaboration, and Partner Engagement Protected Areas Database of the United States (PAD-US) 2.1 - World Database on Protected Areas (WDPA) Submission (ver 1.1, April 2021) Compilation of Geospatial Data (GIS) for the Mineral Industries and Related Infrastructure of Africa Beaver activity locations in the Tualatin Basin, Oregon, between 2013 and 2016 Beaver dam locations and beaver activity in the Tualatin Basin, Oregon (ver. 2.0, November 2019) Cross Boundary Data Integration III- Landcover Data Data Integration Workshop in Support of the Coastal Temperate Rainforest of Southeast Alaska and British Columbia Development of a Conservation Planning Atlas to Improve Regional GIS Data Integration, Collaboration, and Partner Engagement Data Supporting The Geochemical Atlas of Alaska, 2016 Compilation of Geospatial Data (GIS) for the Mineral Industries and Related Infrastructure of Africa Integrated Data Management Network for LCCs and Partners: A Framework for Coordinated Data Discovery, Access, Analysis, Visualization, Project Tracking and Coordination The Geochemical Atlas of Alaska, 2016 - Geochem Data The Geochemical Atlas of Alaska, 2016 - Watershed Boundary Dataset Means Protected Areas Database of the United States (PAD-US) 2.1 - World Database on Protected Areas (WDPA) Submission (ver 1.1, April 2021)