3 datasets found
  1. f

    Additional file 2: Table S1. of PathOS: a decision support system for...

    • figshare.com
    xlsx
    Updated Jun 3, 2023
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    Kenneth Doig; Andrew Fellowes; Anthony Bell; Andrei Seleznev; David Ma; Jason Ellul; Jason Li; Maria Doyle; Ella Thompson; Amit Kumar; Luis Lara; Ravikiran Vedururu; Gareth Reid; Thomas Conway; Anthony Papenfuss; Stephen Fox (2023). Additional file 2: Table S1. of PathOS: a decision support system for reporting high throughput sequencing of cancers in clinical diagnostic laboratories [Dataset]. http://doi.org/10.6084/m9.figshare.c.3750587_D2.v1
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    xlsxAvailable download formats
    Dataset updated
    Jun 3, 2023
    Dataset provided by
    figshare
    Authors
    Kenneth Doig; Andrew Fellowes; Anthony Bell; Andrei Seleznev; David Ma; Jason Ellul; Jason Li; Maria Doyle; Ella Thompson; Amit Kumar; Luis Lara; Ravikiran Vedururu; Gareth Reid; Thomas Conway; Anthony Papenfuss; Stephen Fox
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    AnnotationMetaData.xlsx: List of variant attributes kept in PathOS annotation cache. List of data sources used to annotate variants. (XLSX 17 kb)

  2. n

    Jurisdictional Unit (Public) - Dataset - CKAN

    • nationaldataplatform.org
    Updated Feb 28, 2024
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    (2024). Jurisdictional Unit (Public) - Dataset - CKAN [Dataset]. https://nationaldataplatform.org/catalog/dataset/jurisdictional-unit-public
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    Dataset updated
    Feb 28, 2024
    Description

    Jurisdictional Unit, 2022-05-21. For use with WFDSS, IFTDSS, IRWIN, and InFORM.This is a feature service which provides Identify and Copy Feature capabilities. If fast-drawing at coarse zoom levels is a requirement, consider using the tile (map) service layer located at https://nifc.maps.arcgis.com/home/item.html?id=3b2c5daad00742cd9f9b676c09d03d13.OverviewThe Jurisdictional Agencies dataset is developed as a national land management geospatial layer, focused on representing wildland fire jurisdictional responsibility, for interagency wildland fire applications, including WFDSS (Wildland Fire Decision Support System), IFTDSS (Interagency Fuels Treatment Decision Support System), IRWIN (Interagency Reporting of Wildland Fire Information), and InFORM (Interagency Fire Occurrence Reporting Modules). It is intended to provide federal wildland fire jurisdictional boundaries on a national scale. The agency and unit names are an indication of the primary manager name and unit name, respectively, recognizing that:There may be multiple owner names.Jurisdiction may be held jointly by agencies at different levels of government (ie State and Local), especially on private lands, Some owner names may be blocked for security reasons.Some jurisdictions may not allow the distribution of owner names. Private ownerships are shown in this layer with JurisdictionalUnitIdentifier=null,JurisdictionalUnitAgency=null, JurisdictionalUnitKind=null, and LandownerKind="Private", LandownerCategory="Private". All land inside the US country boundary is covered by a polygon.Jurisdiction for privately owned land varies widely depending on state, county, or local laws and ordinances, fire workload, and other factors, and is not available in a national dataset in most cases.For publicly held lands the agency name is the surface managing agency, such as Bureau of Land Management, United States Forest Service, etc. The unit name refers to the descriptive name of the polygon (i.e. Northern California District, Boise National Forest, etc.).These data are used to automatically populate fields on the WFDSS Incident Information page.This data layer implements the NWCG Jurisdictional Unit Polygon Geospatial Data Layer Standard.Relevant NWCG Definitions and StandardsUnit2. A generic term that represents an organizational entity that only has meaning when it is contextualized by a descriptor, e.g. jurisdictional.Definition Extension: When referring to an organizational entity, a unit refers to the smallest area or lowest level. Higher levels of an organization (region, agency, department, etc) can be derived from a unit based on organization hierarchy.Unit, JurisdictionalThe governmental entity having overall land and resource management responsibility for a specific geographical area as provided by law.Definition Extension: 1) Ultimately responsible for the fire report to account for statistical fire occurrence; 2) Responsible for setting fire management objectives; 3) Jurisdiction cannot be re-assigned by agreement; 4) The nature and extent of the incident determines jurisdiction (for example, Wildfire vs. All Hazard); 5) Responsible for signing a Delegation of Authority to the Incident Commander.See also: Unit, Protecting; LandownerUnit IdentifierThis data standard specifies the standard format and rules for Unit Identifier, a code used within the wildland fire community to uniquely identify a particular government organizational unit.Landowner Kind & CategoryThis data standard provides a two-tier classification (kind and category) of landownership. Attribute Fields JurisdictionalAgencyKind Describes the type of unit Jurisdiction using the NWCG Landowner Kind data standard. There are two valid values: Federal, and Other. A value may not be populated for all polygons.JurisdictionalAgencyCategoryDescribes the type of unit Jurisdiction using the NWCG Landowner Category data standard. Valid values include: ANCSA, BIA, BLM, BOR, DOD, DOE, NPS, USFS, USFWS, Foreign, Tribal, City, County, OtherLoc (other local, not in the standard), State. A value may not be populated for all polygons.JurisdictionalUnitNameThe name of the Jurisdictional Unit. Where an NWCG Unit ID exists for a polygon, this is the name used in the Name field from the NWCG Unit ID database. Where no NWCG Unit ID exists, this is the “Unit Name” or other specific, descriptive unit name field from the source dataset. A value is populated for all polygons.JurisdictionalUnitIDWhere it could be determined, this is the NWCG Standard Unit Identifier (Unit ID). Where it is unknown, the value is ‘Null’. Null Unit IDs can occur because a unit may not have a Unit ID, or because one could not be reliably determined from the source data. Not every land ownership has an NWCG Unit ID. Unit ID assignment rules are available from the Unit ID standard, linked above.LandownerKindThe landowner category value associated with the polygon. May be inferred from jurisdictional agency, or by lack of a jurisdictional agency. A value is populated for all polygons. There are three valid values: Federal, Private, or Other.LandownerCategoryThe landowner kind value associated with the polygon. May be inferred from jurisdictional agency, or by lack of a jurisdictional agency. A value is populated for all polygons. Valid values include: ANCSA, BIA, BLM, BOR, DOD, DOE, NPS, USFS, USFWS, Foreign, Tribal, City, County, OtherLoc (other local, not in the standard), State, Private.DataSourceThe database from which the polygon originated. Be as specific as possible, identify the geodatabase name and feature class in which the polygon originated.SecondaryDataSourceIf the Data Source is an aggregation from other sources, use this field to specify the source that supplied data to the aggregation. For example, if Data Source is "PAD-US 2.1", then for a USDA Forest Service polygon, the Secondary Data Source would be "USDA FS Automated Lands Program (ALP)". For a BLM polygon in the same dataset, Secondary Source would be "Surface Management Agency (SMA)."SourceUniqueIDIdentifier (GUID or ObjectID) in the data source. Used to trace the polygon back to its authoritative source.MapMethod:Controlled vocabulary to define how the geospatial feature was derived. Map method may help define data quality. MapMethod will be Mixed Method by default for this layer as the data are from mixed sources. Valid Values include: GPS-Driven; GPS-Flight; GPS-Walked; GPS-Walked/Driven; GPS-Unknown Travel Method; Hand Sketch; Digitized-Image; DigitizedTopo; Digitized-Other; Image Interpretation; Infrared Image; Modeled; Mixed Methods; Remote Sensing Derived; Survey/GCDB/Cadastral; Vector; Phone/Tablet; OtherDateCurrentThe last edit, update, of this GIS record. Date should follow the assigned NWCG Date Time data standard, using 24 hour clock, YYYY-MM-DDhh.mm.ssZ, ISO8601 Standard.CommentsAdditional information describing the feature. GeometryIDPrimary key for linking geospatial objects with other database systems. Required for every feature. This field may be renamed for each standard to fit the feature.JurisdictionalUnitID_sansUSNWCG Unit ID with the "US" characters removed from the beginning. Provided for backwards compatibility.JoinMethodAdditional information on how the polygon was matched information in the NWCG Unit ID database.LocalNameLocalName for the polygon provided from PADUS or other source.LegendJurisdictionalAgencyJurisdictional Agency but smaller landholding agencies, or agencies of indeterminate status are grouped for more intuitive use in a map legend or summary table.LegendLandownerAgencyLandowner Agency but smaller landholding agencies, or agencies of indeterminate status are grouped for more intuitive use in a map legend or summary table.DataSourceYearYear that the source data for the polygon were acquired.Data InputThis dataset is based on an aggregation of 4 spatial data sources: Protected Areas Database US (PAD-US 2.1), data from Bureau of Indian Affairs regional offices, the BLM Alaska Fire Service/State of Alaska, and Census Block-Group Geometry. NWCG Unit ID and Agency Kind/Category data are tabular and sourced from UnitIDActive.txt, in the WFMI Unit ID application (https://wfmi.nifc.gov/unit_id/Publish.html). Areas of with unknown Landowner Kind/Category and Jurisdictional Agency Kind/Category are assigned LandownerKind and LandownerCategory values of "Private" by use of the non-water polygons from the Census Block-Group geometry.PAD-US 2.1:This dataset is based in large part on the USGS Protected Areas Database of the United States - PAD-US 2.`. PAD-US is a compilation of authoritative protected areas data between agencies and organizations that ultimately results in a comprehensive and accurate inventory of protected areas for the United States to meet a variety of needs (e.g. conservation, recreation, public health, transportation, energy siting, ecological, or watershed assessments and planning). Extensive documentation on PAD-US processes and data sources is available.How these data were aggregated:Boundaries, and their descriptors, available in spatial databases (i.e. shapefiles or geodatabase feature classes) from land management agencies are the desired and primary data sources in PAD-US. If these authoritative sources are unavailable, or the agency recommends another source, data may be incorporated by other aggregators such as non-governmental organizations. Data sources are tracked for each record in the PAD-US geodatabase (see below).BIA and Tribal Data:BIA and Tribal land management data are not available in PAD-US. As such, data were aggregated from BIA regional offices. These data date from 2012 and were substantially updated in 2022. Indian Trust Land affiliated with Tribes, Reservations, or BIA Agencies: These data are not considered the system of record and are not intended to be used as such. The Bureau of Indian Affairs (BIA), Branch of Wildland Fire Management (BWFM) is not the originator of these data. The

  3. a

    PHIDU - Housing and Transport (PHN) 2016-2020 - Dataset - AURIN

    • data.aurin.org.au
    Updated Mar 6, 2025
    + more versions
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    (2025). PHIDU - Housing and Transport (PHN) 2016-2020 - Dataset - AURIN [Dataset]. https://data.aurin.org.au/dataset/tua-phidu-phidu-housing-transport-phn-2016-20-phn2017
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    Dataset updated
    Mar 6, 2025
    License

    Attribution-NonCommercial-ShareAlike 3.0 (CC BY-NC-SA 3.0)https://creativecommons.org/licenses/by-nc-sa/3.0/
    License information was derived automatically

    Description

    This dataset, released February 2021, contains housing and transport statistics relating to the Households in dwellings receiving rent assistance from the Australian Government, June 2020; Aboriginal households in dwellings receiving rent assistance from the Australian Government, June 2016; Persons living in rented social housing dwellings, 2016; Social housing (rented) dwellings, 2016; Persons living in privately rented dwellings, 2016; Privately rented dwellings, 2016; Low income households with mortgage stress, 2016; Low income households with rental stress, 2016; Low income households under financial stress from mortgage or rent, 2016; Low income households, 2016; Housing suitability, 2016; Private dwellings with no motor vehicle, 2016; Persons living in crowded dwellings, 2016; Persons living in severely crowded dwellings, 2016; Aboriginal persons living in crowded dwellings, 2016; Aboriginal persons living in severely crowded dwellings, 2016. The data is by Primary Health Network (PHN) 2017 geographic boundaries based on the 2016 Australian Statistical Geography Standard (ASGS). There are 31 PHNs set up by the Australian Government. Each network is controlled by a board of medical professionals and advised by a clinical council and community advisory committee. The boundaries of the PHNs closely align with the Local Hospital Networks where possible. For more information please see the data source notes on the data. Source: Compiled by PHIDU based on data from the Department of Social Services, June 2020; and the ABS Census: Dwellings, 2016; Compiled by PHIDU based on data from the Department of Social Services, June 2016; and the ABS Census: Dwellings, 2016; Compiled by PHIDU based on the ABS Census of Population and Housing, August 2016; Compiled by PHIDU based on the ABS Census of Population and Housing, August 2016 (unpublished) data;

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Kenneth Doig; Andrew Fellowes; Anthony Bell; Andrei Seleznev; David Ma; Jason Ellul; Jason Li; Maria Doyle; Ella Thompson; Amit Kumar; Luis Lara; Ravikiran Vedururu; Gareth Reid; Thomas Conway; Anthony Papenfuss; Stephen Fox (2023). Additional file 2: Table S1. of PathOS: a decision support system for reporting high throughput sequencing of cancers in clinical diagnostic laboratories [Dataset]. http://doi.org/10.6084/m9.figshare.c.3750587_D2.v1

Additional file 2: Table S1. of PathOS: a decision support system for reporting high throughput sequencing of cancers in clinical diagnostic laboratories

Related Article
Explore at:
xlsxAvailable download formats
Dataset updated
Jun 3, 2023
Dataset provided by
figshare
Authors
Kenneth Doig; Andrew Fellowes; Anthony Bell; Andrei Seleznev; David Ma; Jason Ellul; Jason Li; Maria Doyle; Ella Thompson; Amit Kumar; Luis Lara; Ravikiran Vedururu; Gareth Reid; Thomas Conway; Anthony Papenfuss; Stephen Fox
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Description

AnnotationMetaData.xlsx: List of variant attributes kept in PathOS annotation cache. List of data sources used to annotate variants. (XLSX 17 kb)

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