This dataset combines all available field data for upland habitat impact assessment (HIA) survey work commissioned by SNH between 2004 and 2018 using the methods described in (Macdonald et al 1998). Data collation was carried out by Edward Wilson as part of the review of deer data Project 017079 managed by Jenny Bryce of the Wildlife Management Activity Team. The aim was to bring together all the available into a corporate dataset, standardise and clean the data and make it accessible for internal and external use. It should be used as the primary source of HIA data as it supersedes (through data cleansing) the data held in spreadsheets.

This is a collection of metadata from the 2021 seismic survey at the San Emidio geothermal field in Nevada. In April and May 2021, 37 tri-axial short period seismographs were deployed in a 1.8km diameter cluster centered on 40.367278 deg N, 119.409019 deg W. The first data record started at 2021-04-06T07:09:10Z UTC and the last record ended 2021-05-11T02:58:52Z UTC. The 37 stations included 29 SmartSolo IGU-16HR 3C all-in-one 5 Hz seismographs and 8 DataCube seismographs with 4.5 Hz HGS HG-6(B coil) tri-axial geophones. The raw format (level 0) data includes 353 GB of 500 sps SmartSolo data in native DLD format, 113 GB of 400 sps DataCube data in native DataCube format, and 3.4 GB of GPS data collected during the RTK GPS survey. The SAC data (level 1) files include 564 GB of hourly SAC files. The experiment was designed to monitor seismic activity before, during, and after the planned three-day plant maintenance shutdown April 19-21, 2021. The pumping stopped at 2021/04/19 12:51:45 UTC and resumed about 2021/04/21 21:00:00 UTC. The raw and processed data are in an associated GDR submission, linked below. The metadata here includes files containing experiment details, station locations, seismic data logger specifications, instrumentation specifications, and descriptions of data. Also included are data and metadata from a 2016 seismic survey at the same site.

This is the Excel template that was used by each of the COST Action CA16111 - ETHMIGSURVEYDATA participating countries to compile the survey metadata for the surveys initially appearing in the Ethnic and Migrant Minorities Survey Registry (https://ethmigsurveydatahub.eu/emmregistry/).

This is a graphic representation of the data stewards based on PLSS Townships in PLSS areas within the BLM Administrative State of Wyoming. In non-PLSS areas the metadata at a glance is based on a data steward defined polygons such as a city or county or other units. The identification of the data steward is a general indication of the agency that will be responsible for updates and providing the authoritative data sources. In other implementations this may have been termed the alternate source, meaning alternate to the BLM. But in the shared environment of the NSDI the data steward for an area is the primary coordinator or agency responsible for making updates or causing updates to be made. The data stewardship polygons are defined and provided by the data steward. These are not the official representations of the lines marked by the survey, please contact Wyoming Cadastral Survey.

Available metadata for oil and gas industry site surveys, including their geographic locations. As the Data Archive Centre (DAC) for geology and geophysics for MEDIN (the Marine Environment Data and Information Network), the British Geological Survey (BGS) has been indexing metadata relating to oil and gas industry site surveys since 2009. The metadata describe site survey data acquired under exploration and production licences by oil companies from 1997 onwards. The metadata have been collected in collaboration with the Oil and Gas Authority (OGA) (now the North Sea Transition Authority, NSTA). The metadata collected include: survey name; survey reference number(s); originator (or operating licencee); survey area boundary; contractor; start date; end date; survey description; additional information (including the equipment used); and the data custodian at the time of metadata submission. BGS hold only the metadata, not the data. To access the data, first check whether the data are provided by the NSTA through the National Data Repository (NDR) at https://ndr.nstauthority.co.uk/. If the data are not available, the NDR may be able to contact the data custodian to obtain the data.

Marine survey data compiled by Peter Butler in the Petroleum and Marine Division. The project is ongoing, and will be updated upon completion.

The Ethnic and Migrant Minorities (EMM) Survey Registry is a free online tool that allows users to search for and learn about existing quantitative surveys undertaken with EMM (sub)populations conducted in 34 European countries, from 2000 onwards, through compiled survey-level metadata.

The first version was produced by a team led by CEE (Sciences Po, CNRS) and jointly funded through the COST Action 16111 – ETHMIGSURVEYDATA (a network of more than 200 European researchers active in the ethnic and migration studies field), the Horizon 2020 infrastructure project SSHOC (within Task 9.2 on Ethnic and Migration Studies, within Work Package 9 on Data Communities) and the project FAIRETHMIGQUANT (an Open Science project funded by the French Agence Nationale de la Recherche, ANR).

This specific record includes the metadata for 1,813 survey records as .dta, .sav and .csv files published on the Registry, as of 29.08.2024.

This data represents the GIS Version of the Public Land Survey System including both rectangular and non-rectangular survey data. The rectangular survey data are a reference system for land tenure based upon meridian, township/range, section, section subdivision and government lots. The non-rectangular survey data represent surveys that were largely performed to protect and/or convey title on specific parcels of land such as mineral surveys and tracts. The data are largely complete in reference to the rectangular survey data at the level of first division. However, the data varies in terms of granularity of its spatial representation as well as its content below the first division. Therefore, depending upon the data source and steward, accurate subdivision of the rectangular data may not be available below the first division and the non-rectangular minerals surveys may not be present. At times, the complexity of surveys rendered the collection of data cost prohibitive such as in areas characterized by numerous, overlapping mineral surveys. In these situations, the data were often not abstracted or were only partially abstracted and incorporated into the data set. These PLSS data were compiled from a broad spectrum or sources including federal, county, and private survey records such as field notes and plats as well as map sources such as USGS 7 ½ minute quadrangles. The metadata in each data set describes the production methods for the data content. This data is optimized for data publication and sharing rather than for specific "production" or operation and maintenance. A complete PLSS data set includes the following: PLSS Townships, First Divisions and Second Divisions (the hierarchical break down of the PLSS Rectangular surveys) PLSS Special surveys (non-rectangular components of the PLSS) Meandered Water, Corners, Metadata at a Glance (which identified last revised date and data steward) and Conflicted Areas (known areas of gaps or overlaps or inconsistencies). The Entity-Attribute section of this metadata describes these components in greater detail. The second division of the PLSS is quarter, quarter-quarter, sixteenth or government lot division of the PLSS. The second and third divisions are combined into this feature class as an intentional de-normalization of the PLSS hierarchical data. The polygons in this feature class represent the smallest division to the sixteenth that has been defined for the first division. For example In some cases sections have only been divided to the quarter. Divisions below the sixteenth are in the Special Survey or Parcel Feature Class. Special Surveys are non-PLSS survey areas from BLM survey records which represent federal parcels.

This data represents the GIS Version of the Public Land Survey System including both rectangular and non-rectangular survey data. The rectangular survey data are a reference system for land tenure based upon meridian, township/range, section, section subdivision and government lots. The non-rectangular survey data represent surveys that were largely performed to protect and/or convey title on specific parcels of land such as mineral surveys and tracts. The data are largely complete in reference to the rectangular survey data at the level of first division. However, the data varies in terms of granularity of its spatial representation as well as its content below the first division. Therefore, depending upon the data source and steward, accurate subdivision of the rectangular data may not be available below the first division and the non-rectangular minerals surveys may not be present. At times, the complexity of surveys rendered the collection of data cost prohibitive such as in areas characterized by numerous, overlapping mineral surveys. In these situations, the data were often not abstracted or were only partially abstracted and incorporated into the data set. These PLSS data were compiled from a broad spectrum or sources including federal, county, and private survey records such as field notes and plats as well as map sources such as USGS 7 ½ minute quadrangles. The metadata in each data set describes the production methods for the data content. This data is optimized for data publication and sharing rather than for specific "production" or operation and maintenance. A complete PLSS data set includes the following: PLSS Townships, First Divisions and Second Divisions (the hierarchical break down of the PLSS Rectangular surveys) PLSS Special surveys (non-rectangular components of the PLSS) Meandered Water, Corners, Metadata at a Glance (which identified last revised date and data steward) and Conflicted Areas (known areas of gaps or overlaps or inconsistencies). The Entity-Attribute section of this metadata describes these components in greater detail. The second division of the PLSS is quarter, quarter-quarter, sixteenth or government lot division of the PLSS. The second and third divisions are combined into this feature class as an intentional de-normalization of the PLSS hierarchical data. The polygons in this feature class represent the smallest division to the sixteenth that has been defined for the first division. For example In some cases sections have only been divided to the quarter. Divisions below the sixteenth are in the Special Survey or Parcel Feature Class. Special Surveys are non-PLSS survey areas from BLM survey records which represent federal parcels.

Description not specified.........................

Metadata containing background information on the surveys included in the related data from commercial fishing catches (landings) and fishery independent surveys.

Counts of Odontaster along 50-m transects at the McMurdo Intake Jetty (2019, 2020) and Cinder Cones (2022), including incidence of SSWS and staging of each visibly affected individual starfish.

A map service showing the location and coverage of National Ocean Service (NOS) Hydrographic Surveys. The NOS Hydrographic Database (NOSHDB) and Hydrographic Survey Metadata Database (HSMDB), both maintained by NOS and NOAA's National Centers for Environmental Information (NCEI), provide extensive survey coverage and ISO metadata of the coastal waters and Exclusive Economic Zone (EEZ) of the United States and its territories. The NOSHDB contains digitized data from smooth sheets of hydrographic surveys completed between 1837 and 1965, and from survey data acquired digitally on NOS survey vessels since 1965. Data products from NOS surveys, including Bathymetric Attributed Grid (BAG) files, Descriptive Reports, smooth sheet images, survey data images, textual gridded data, and geo-referenced sidescan sonar mosaics, ISO metadata, and survey statistics are available for download from NCEI.This service is available as a dynamic map service and a tiled map service. The tiled map service draws faster, and is visible from global scales, to zoom level 9 (approx. 1:1,200,000 scale).Please see the corresponding NOS Bathymetric Attributed Grid (BAG) shaded relief visualization image service (NOAA GeoPlatform entry). Or view it in a combined map with both shaded relief and survey polygons.Layers available in the map service:Layer 0: Surveys with BAGs available (Bathymetric Attributed Grids).Layer 1: Surveys with digital sounding data available for download (including those with BAGs).Layer 2: Surveys without digital sounding data available for download.Layer 3: Detailed BAG footprints. The NCEI Bathymetric Data Viewer (NOAA GeoPlatform entry) can be used to search and display these data. For more information about NOS Hydrographic Survey data available at NCEI, please see: http://ngdc.noaa.gov/mgg/bathymetry/hydro.html.Also see the NOS Seabed Descriptions from Hydrographic Surveys Map Service.ISO metadata for NOS Hydrographic Survey Collection

This data represents the GIS Version of the Public Land Survey System including both rectangular and non-rectangular survey data. The rectangular survey data are a reference system for land tenure based upon meridian, township/range, section, section subdivision and government lots. The non-rectangular survey data represent surveys that were largely performed to protect and/or convey title on specific parcels of land such as mineral surveys and tracts. The data are largely complete in reference to the rectangular survey data at the level of first division. However, the data varies in terms of granularity of its spatial representation as well as its content below the first division. Therefore, depending upon the data source and steward, accurate subdivision of the rectangular data may not be available below the first division and the non-rectangular minerals surveys may not be present. At times, the complexity of surveys rendered the collection of data cost prohibitive such as in areas characterized by numerous, overlapping mineral surveys. In these situations, the data were often not abstracted or were only partially abstracted and incorporated into the data set. These PLSS data were compiled from a broad spectrum or sources including federal, county, and private survey records such as field notes and plats as well as map sources such as USGS 7 ½ minute quadrangles. The metadata in each data set describes the production methods for the data content. This data is optimized for data publication and sharing rather than for specific "production" or operation and maintenance. A complete PLSS data set includes the following: PLSS Townships, First Divisions and Second Divisions (the hierarchical break down of the PLSS Rectangular surveys) PLSS Special surveys (non-rectangular components of the PLSS) Meandered Water, Corners, Metadata at a Glance (which identified last revised date and data steward) and Conflicted Areas (known areas of gaps or overlaps or inconsistencies). The Entity-Attribute section of this metadata describes these components in greater detail. This is a graphic representation of the data stewards based on PLSS Townships in PLSS areas. In non-PLSS areas the metadata at a glance is based on a data steward defined polygons such as a city or county or other units. The identification of the data steward is a general indication of the agency that will be responsible for updates and providing the authoritative data sources. In other implementations this may have been termed the alternate source, meaning alternate to the BLM. But in the shared environment of the NSDI the data steward for an area is the primary coordinator or agency responsible for making updates or causing updates to be made. The data stewardship polygons are defined and provided by the data steward.

This dataset consists of a database (.SQL format) containing the result of the analysis of metadata of 212 datasets in the Computer Forensic Reference DataSet Portal (CFReDS, NIST). The survey that led to this dataset, carried out by Samuele Mombelli between 21 December 2022 and 28 January 2023, focused on analyzing the metadata associated with these datasets and assessing their compliance with the FAIR Principles (Findabiliy, Accessibility, Interoperability and Reusability). The data were collected using a specially developed checklist that encapsulates a set of criteria representing its own implementation of the FAIR principles. This dataset is linked to the publication in the following article: PUBLICATION IN PROGRESS. Further details on the criteria used and the structure of the data can be found in the documentation associated with the database.

MD5 checksum of the SQL database: FBC41CFB9FF8F4CB1BE08D779DA7EB56 SHA-256 checksum of the SQL database: 23498F297F42CDC3F058A2804FE5092DCA8087BC2BC718C6DCB377B5B1207154

This XL table was created to summarise main information about 52 underwater video transects (incl. collection date, start and end position and time for each ROV (Remote Operated Vehicle) dive, summary of geo-biological observations, number of collected seabed samples) collected with ROV Holland onboard Irish Lights Vessel Granuaile during SeaRover 2018 research cruise between 2 July 2018 - 22 July 2018. SeaRover stands for Sensitive Ecosystem Assessment and ROV Exploration of Reef. This survey was commissioned by the National Parks and Wildlife Service (NPWS), funded by the European Maritime and Fisheries Fund (EMFF), and coordinated and led by INFOMAR (Integrated Mapping for the Sustainable Development of Ireland?s Marine Resources) and Ireland?s Marine Institute. Navigation problems were encountered during five dives, namely: Dive526_RB02, Dive527_RB03, Dive528_RB26, Dive529_ RB27, Dive549_PB05. Thus, these dive tracks were not included in the corresponding shapefile. However, other information about these dives is presented in this metadata table. None

1301 Vertical Component seismic instruments were deployed at San Emidio Geothermal field in Nevada in December 2016. The first record starts at 2016-12-05T02:00:00.000000Z (UTC) and the last record ends at 2016-12-11T14:00:59.998000Z (UTC). Data are stored in individual files in one-minute increments. Data includes seismic station locations, seismic data logger specifications, instrumentation specifications, descriptions of data, a fracture finding summary and the final report for the 2016 WHOLESCALE seismic survey done in San Emidio, Nevada.

An inventory of 9,793 species records (mosses, alga, liverworts and vascular plants) to establish the status and distribution of these species. Records from across Northern Ireland collected by NIEA (formally EHS)in 1996.

A map service showing the location and coverage derived from NOAA's National Ocean Service (NOS), Office of Coast Survey (OCS) Hydrographic Surveys in U.S. waters and non-hydrographic surveys acquired external to OCS, that have been assessed by OCS for use in NOAA’s navigational products and the National Bathymetry. The NOS Hydrographic Database (NOSHDB) and Hydrographic Survey Metadata Database (HSMDB), both maintained by NOS and NOAA's National Centers for Environmental Information (NCEI), provide extensive survey coverage and ISO metadata of the coastal waters and Exclusive Economic Zone (EEZ) of the United States and its territories. The NOSHDB contains digitized data from smooth sheets of hydrographic surveys completed between 1837 and 1965, and from survey data acquired digitally on NOS survey vessels since 1965. Data products from NOS surveys and others assessed by NOS, including Bathymetric Attributed Grid (BAG) files, Descriptive Reports, smooth sheet images, survey data images, textual gridded data, and geo-referenced sidescan sonar mosaics, ISO metadata, and survey statistics are available for download from NCEI.Modern surveys provide gridded data in the form of bathymetric attributed grids (BAGs). Please see the following services for mosaics of the BAG data:Bathymetric Attributed Grid (BAG) Image Service (provides depth values).Bathymetric Attributed Grid (BAG) shaded relief visualization image service (color shaded relief).Layers available in this map service:Layer 0: All Surveys with Digital Data: Combining both Surveys with BAGs and Surveys with Digital Sounding Data, this layer describes all bathymetric data collected for NOAA's Office of Coast Survey in a usable digital format as either gridded surface data or xyz point soundings.Layer 1: Surveys with BAGs: This layer includes hydrographic data from ~1995 to the present. A Bathymetric Attributed Grid (BAG) is an open sourced file format for storing and exchanging bathymetric data developed by the Open Navigation Surface Working Group. BAG files are gridded, multi-dimensional bathymetric data files and are the standard NOS hydrographic data file for public release.Layer 2 (hidden by default): Surveys without Digital Data: This layer includes historical hydrographic data from as early as the 1800s. Smooth Sheet images exist for these historical depth soundings that have not been digitized into an xyz format. Smooth Sheets are the final, neatly drafted, accurate plot of verified and corrected bathymetric data based on the method collected and are available as Tagged Image File Format (TIFF), Multi-resolution Seamless Image Database (MrSID) format, or as a geo-referenced PDF.The NCEI Bathymetric Data Viewer (NOAA GeoPlatform entry) can be used to search and display these data. More information about NOS Hydrographic Survey data available at NCEIAlso see the NOS Seabed Descriptions from Hydrographic Surveys Map Service.ISO collection-level metadata for NOS Hydrographic Surveys

The Gravity Survey Index presents a summary of the essential specifications on about 1000 gravity surveys held in the National Gravity Database. Gravity measurements have been made in Australia since about 1900. Organised surveys for geophysical purposes (initially oil and coal exploration) have been conducted from 1939 onwards. The dataset includes surveys carried out by AGSO (BMR), state governments, private companies, universities and other organisations. The digital point data, maps and grids derived from these surveys are available as separate products. Additional to the survey index is the locations of the the Australian fundamental gravity network stations as a separate dataset.