The GEO Profiles database stores gene expression profiles derived from curated GEO DataSets. Each Profile is presented as a chart that displays the expression level of one gene across all Samples within a DataSet. Experimental context is provided in the bars along the bottom of the charts making it possible to see at a glance whether a gene is differentially expressed across different experimental conditions. Profiles have various types of links including internal links that connect genes that exhibit similar behaviour, and external links to relevant records in other NCBI databases. GEO Profiles can be searched using many different attributes including keywords, gene symbols, gene names, GenBank accession numbers, or Profiles flagged as being differentially expressed.

databio/geo-hg38-search-test dataset hosted on Hugging Face and contributed by the HF Datasets community

GeoSearch is an interactive mapping application that makes it easy to find places in Canada, see them on a map, and get basic geographic and demographic data for them.

A shapefile of 311 undersea features from all major oceans and seas has been created as an aid for retrieving georeferenced information resources. Version 1.1 of the data set also includes a linked data representation of 299 of these features and their spatial extents. The geographic extent of the data set is 0 degrees E to 0 degrees W longitude and 75 degrees S to 90 degrees N latitude. Many of the undersea features (UF) in the shapefile were selected from a list assembled by Weatherall and Cramer (2008) in a report from the British Oceanographic Data Centre (BODC) to the General Bathymetric Chart of the Oceans (GEBCO) Sub-Committee on Undersea Feature Names (SCUFN). Annex II of the Weatherall and Cramer report (p. 20-22) lists 183 undersea features that "may need additional points to define their shape" and includes online links to additional BODC documents providing coordinate pairs sufficient to define detailed linestrings for these features. For the first phase of the U.S. Geological Survey (USGS) project, Wingfield created polygons for 87 of the undersea features on the BODC list, using the linestrings as guides; the selected features were primarily ridges, rises, trenches, fracture zones, basins, and seamount chains. In the second phase of the USGS project, Wingfield and Hartwell created polygons for an additional 224 undersea features, mostly basins, abyssal plains, and fracture zones. Because USGS is a Federal agency, the attribute tables follow the conventions of the National Geospatial-Intelligence Agency (NGA) GEOnet Names Server (http://geonames.nga.mil/gns/html/).

This data set was acquired with a Video Camera on the HOV Alvin during Atlantis expedition AT11-07 conducted in 2004 (Chief Scientist: Dr. Hans Schouten). These data files are of Google Earth (KML/KMZ) format include photos and vehicle navigation information. Data were acquired as part of the project(s): Microbial Biofilms and Fluid Chemistry on Larval Settlement at Deep-sea Hydrothermal Vents, Central Anomaly Magnetic High: Constraints on the Volcanic Construction and Architecture of Young Upper Oceanic Crust, In-Situ Sensors for Monitoring the Chemistry of Hydrothermal Fluids, and Establishing a Role for Fe and S Microbial Metabolism in Ocean Crust Weathering, and funding was provided by NSF grant(s): OCE01-17117, OCE02-41791, OCE98-19261, and DOEI-TS03.

Leg 1 of a rapid response survey of coastal and inlet regions near Galveston, TX, following Hurricane Ike in 2008, this R/V Acadiana survey collected CHIRP data around Bolivar Peninsula.?ACAD0803?was Leg 2.?The objective was to compare the results from marine geophysical surveys conducted before (ACAD0801) and just after the passage of the hurricane. Funded by the Jackson School of Geosciences, University of Texas at Austin.

We analyzed the corpus of three geoscientific journals to investigate if there are enough locational references in research articles to apply a geographical search method, on the example of New Zealand. We counted place name occurrences that match records from the official Land Information New Zealand (LINZ) gazetteer in the titles, abstracts and full texts of freely available papers of the New Zealand Journal of Geology and Geophysics, the New Zealand Journal of Marine and Freshwater Research, and the Journal of Hydrology, New Zealand, for the years 1958 to 2015. We generated ISO standard compliant metadata records for each article including the spatial references and make them available in a public catalogue service.

1. articles_georef_count_data.xlsx: The counts and evaluation tracking of the place name occurrences in the journal articles.
2. summary_final.xlsx: Summary statistics for evaluation based on the counts data.
3. article_template.xml: XML template for ISO 19139 compliant metadata record filled for each article.
4. full_article.xml: Exemplary fully filled ISO 19139 compliant metadata record.
   

The National Georegister is the location of geo-information in the Netherlands. With the simple search options and presentation of results, the datasets in the map viewer can be viewed or downloaded.

For users

The National Georegister primarily focuses on the professional user. This can be a Geo-ICT specialist looking for datasets, services or other geo-information elements. But also a policy officer who wants to consult a card, a web developer or a student who develops a website or application and is looking for geo-information for that.

For data providers

To provide the metadata of your geo-datasets on the National Georegister, your organisation needs an account. You can request an account from the PDOK customer contact center.

This data set was acquired with a ship-based BellAerospace BGM-3 Gravimeter and Atlas Hydrosweep DS2 Multibeam Sonar system during Maurice Ewing expedition EW0410 conducted in 2004 (Chief Scientist: Dr. Gail Christeson). These data files are of MGD77 format and include Gravity Field and Singlebeam Bathymetry data and were processed after data collection. Data were acquired as part of the project(s): Correlation of Seismic Structure with Observed Outcrop Geology: MCS/OBS Investigation of Hess Deep and Blanco Transform, and funding was provided by NSF grant(s): OCE01-37286.

The dataset contains the geo-location info, name and type of the health facilities in Zambia. The data is created by Zambia central statistical office, and curated from the Southern African Human-development Information Management Network (SAHIMS) static archive server https://web.archive.org/web/20070808004545/http://www.sahims.net:80/gis/... To view metadata, please visit https://web.archive.org/web/20070513160350/http://www.sahims.net:80/gis/...

This data set was acquired with a Echosounder, Navigation System and Gravimeter during R/V Nathaniel B. Palmer expedition NBP1802 conducted in 2018 (Chief Scientist: Dr. Alison Macdonald, Investigator: Dr. Alison Macdonald). These data files are of MGD77 format and include Bathymetry, Gravity Field, Gravity Free Air Anomaly and Navigation data that have not been processed. Data were acquired as part of the project(s): Collaborative Research: Global Ocean Repeat Hydrography, Carbon, and Tracer Measurements, 2015-2020. Funding was provided by NSF award(s): OCE14-37015.

Physiographic maps for the CIS and Baltic States (CIS_BS), Mongolia, China and Taiwan Province of China. Between the three regions (China, Mongolia, and CIS_BS countries) DCW boundaries were introduced. There are no DCW boundaries between Russian Federation and the rest of the new countries of the CIS_BS. The original physiographic map of China includes the Chinese border between India and China, which extends beyond the Indian border line, and the South China Sea islands (no physiographic information is present for islands in the South China Sea). The use of these country boundaries does not imply the expression of any opinion whatsoever on the part of FAO concerning the legal or constitutional states of any country, territory, or sea area, or concerning delimitation of frontiers. The Maps visualize the items LANDF, HYPSO, SLOPE that correspond to Landform, Hypsometry and Slope.

Pathways to Removing Obstacles to Housing (PRO Housing) Pathways to Removing Obstacles to Housing, or PRO Housing, is a competitive grant program being administered by HUD. PRO Housing seeks to identify and remove barriers to affordable housing production and preservation.Under the Need rating factor, applicants will be awarded ten (10) points if their application primarily serves a ‘priority geography’. Priority geography means a geography that has an affordable housing need greater than a threshold calculation for one of three measures. The threshold calculation is determined by the need of the 90th-percentile jurisdiction (top 10%) for each factor as computed comparing only jurisdictions with greater than 50,000 population. Threshold calculations are done at the county and place level and applied respectively to county and place applicants. An application can also quality as a priority geography if it serves a geography that scores in the top 5% of its State for the same three measures. The measures are as follows: Affordable housing not keeping pace, measured as (change in population 2019-2009 divided by 2009 population) – (change in number of units affordable and available to households at 80% HUD Area Median Family Income (HAMFI) 2019-2009 divided by units affordable and available at 80% HAMFI 2009).Insufficient affordable housing, measured as number of households at 80% HAMFI divided by number of affordable and available units for households at 80% HAMFI. Widespread housing cost burden or substandard housing, measured as number of households with housing problems at 100% HAMFI divided by number of households at 100% HAMFI. Housing problems is defined as: cost burden of at least 50%, overcrowding, or substandard housing.Applicants may use this web application to search for priority geographies.For more information on Pro Housing, please visit: https://www.hud.gov/program_offices/comm_planning/pro_housing

On 5 November 2019, Geoscience Australia presented a Targeted Side Event at the GEO Week 2019 Ministerial Summit in Canberra (http://www.earthobservations.org/geoweek19.php?t=home). GEO, the Group …Show full descriptionOn 5 November 2019, Geoscience Australia presented a Targeted Side Event at the GEO Week 2019 Ministerial Summit in Canberra (http://www.earthobservations.org/geoweek19.php?t=home). GEO, the Group on Earth Observations, is a global intergovernmental partnership of 105 Member governments, 127 Participating Organizations and thousands of individuals and businesses that strives to improve the availability, access and use of Earth observations for a more sustainable planet. The theme of the Targeted Side Event was as follows. Strong, resilient and sustainable communities have jobs, homes, clean water, feel safe and are well connected locally, nationally and internationally. Government, business, industry and community decision makers can progress economic, social and cultural development using new, free digital information and mapping tools. Smart, fast and trusted decisions made using digital information and digital mapping can be used for any sized community, remote, rural, city, national. Sustainable development, responsible growth through a reform and transform approach can unlock new resource opportunities and respond to the economic and social challenges faced by many countries. Presented is a new digital mapping decision making tool that integrates resources: minerals, energy and water, within a social, economic and environment frame. Addressing social licence and environmental sustainability is becoming increasingly important to ensuring the future economic development of Earth resources. The challenge for geoscientists is to create tools using data integrated from multiple disciplines to deliver insight into the complex interactions between diverse Earth systems and human society. These tools will enable specialists and non-specialists in communities, government and industry to make informed decisions for a sustainable future.

The EU-Seased database and website has come forward from the EU-funded projects EUROSEISMICS. It provides a searchable catalogue of over 2.5 million line kilometres of marine seismic and sonar survey data held at European institutions. Searches can be made using an interface combining geographic and text fields searching, which allows searches on a wide range of parameters. The results of your search lists only metadata; access to actual data and any related datasets is for negotiation between the user and the repository where the data is stored. Contact information for each data holder/owner is provided and, where possible, the terms of data availability is given. The website is managed by MARIS in a service contract for Euro Geo Surveys.

This data set consists of travel times for the mantle refraction, Pn, picked from active-source OBS data collected as part of the NoMelt experiment in the central Pacific. The data set is in ASCII format. For each travel time, the shot line number, station location, and shot location are provided. Before picking, the OBS data were filtered with an 8-pole, minimum phase Butterworth filter with corner frequencies of 4 to 15 Hz, and a linear prediction deconvolution was applied using a filter length of 0.2 seconds and a prediction distance of 0.01 seconds. Travel times were then picked by hand on the vertical ground motion components of station gathers. This data set was generated as part of a project called NoMelt: Structure and evolution of the oceanic lithosphere/asthenosphere system. Funding for this project came from NSF grants OCE09-28663, OCE09-27172, and OCE09-28270.

A test resource to check the python api. Visit https://dataone.org/datasets/sha256%3Ab2476b888788447addba5a3a94d8bbdcf608f2c62f3d6110549dcbdcec4da6fb for complete metadata about this dataset.

This is the reference implementation of WFS 1.0.0 and WFS 1.1.0, supports all WFS operations including Transaction.

This API returns a geography of a specified geography type by the geography id.

This API returns a search for the demographic information for a particular geography type and geography name.