GIS data layers for 'Running a Super SDM (Species Distribution Model) ‘in the cloud’ for Better Habitat-Associations, Predictions and Inference: Applying Open Access Big Data, Machine Learning Ensembles on Great Gray Owls in Alaska' by F. Huettmann et al.

Identification_Information:

Citation:

Citation_Information:

Originator: Falk Huettmann et al (see co-author list of the manuscript)
Publication_Date: 20230710
Title:

Edition: 1
Geospatial_Data_Presentation_Form: raster digital data
Online_Linkage: https://doi.org/10.5066/xxxxxxxx

Description:

Abstract:

This dataset describes CSV (ASCII text) data tables from a geographic information system (GIS) layers used for the study 'Running a Super SDM (Species Distribution Model) ‘in the cloud’ for Better Habitat-Associations, Predictions and Inference: Applying Open Access Big Data, Machine Learning Ensembles on Great Gray Owls in Alaska' by the co-authors. This data set is drived from GIS overlays from a compiled set of GIS raster (tiff) layers and some shapefiles in ESRI format to be used for model-prediction and analysis. The data are used as model input and outputs in a SuperSDM run. This dataset is part of a appendix with the best-known and compiled GGOW (Strix nebulosa) presence records and over 100 predictors. The projection of the data is Alaska specific (Alaska in feet, NAD83) but can apply decimal latitude and longitude WGS84 (bot coordinate pairs are included). . The zipped data submission package of all those files has a size of 23GB. The following data layers are included: -Best publically available 410 Presence records of the GGOW (400KB) -Presence and Background (Lattice) for GGOW. (209 MB) -The predicted relative index of ocurrence (RIO) for GGOW from randomforest (15kb)

A doi of this work and dataset is coming forward. Thus far, the data are available from te authors and an Online Google Drive.

Purpose: GIS modeling and inference for Great Great Owl data in Alaska
Supplemental_Information:

This data set can be used Open Access and includes presence only information

Time_Period_of_Content:

Time_Period_Information:

Range_of_Dates/Times:

Beginning_Date: 20230615
Ending_Date: 20230621

Currentness_Reference: ground condition

Status:

Progress: Complete
Maintenance_and_Update_Frequency: None planned

Spatial_Domain:

Description_of_Geographic_Extent: Alaska
Bounding_Coordinates:

West_Bounding_Coordinate: -168.0000
East_Bounding_Coordinate: -139.0000
North_Bounding_Coordinate: 70.0000
South_Bounding_Coordinate: 50.0000

Keywords:

Theme:

Theme_Keyword_Thesaurus: ISO 19115 Topic Category
Theme_Keyword: biota

Theme:

Theme_Keyword_Thesaurus: None
Theme_Keyword: Great Gray Owls (Strix nebulosa)
Theme_Keyword: Fairbanks Alaska
Theme_Keyword: Machine Learning ensemble model
Theme_Keyword: Open Source Geographic Information System GIS
Theme_Keyword: Open Access Data

Place:

Place_Keyword_Thesaurus: None
Place_Keyword:

Taxonomy:

Keywords/Taxon:

Taxonomic_Keyword_Thesaurus: None
Taxonomic_Keywords: Larus canus

Taxonomic_Classification:

Access_Constraints: None. Please see 'Distribution Info' for details.
Use_Constraints:

None. Users are advised to read the dataset's metadata thoroughly to understand appropriate use and data limitations.

Point_of_Contact:

Contact_Information:

Contact_Person_Primary:

Contact_Person: Falk Huettmann
Contact_Organization: University of Alaska Fairbanks

Contact_Address:

Address_Type:Address: 2140 North Koyukuk Drive, 419 Irving 1
City: Fairbanks
State_or_Province:Postal_Code: 99775
Country: USA

Contact_Voice_Telephone:Contact_Electronic_Mail_Address: fhuettmann@alaska.edu

Data_Set_Credit:

Co-authors and data providers of public Open Access data providers

Native_Data_Set_Environment: GIS geotiffs and shapefiles

Data_Quality_Information:

Attribute_Accuracy:

Attribute_Accuracy_Report: Data are 'as is', collected by author,

Logical_Consistency_Report: Data are consistent
Completeness_Report: Data are complete samples, as provided
Positional_Accuracy:

Horizontal_Positional_Accuracy:

Horizontal_Positional_Accuracy_Report:

Data came in latitude and longitude, but were derived from AK feet NAD83

Vertical_Positional_Accuracy:

Vertical_Positional_Accuracy_Report: None

Lineage:

Process_Step:

Process_Description: Species data compiled from GBIF.org via RGBIF
Source_Used_Citation_Abbreviation: GBIF.org
Source_Used_Citation_Abbreviation: Alaska Data Clearing House
Source_Used_Citation_Abbreviation: Sriram and Huettmann
Source_Used_Citation_Abbreviation: Andrews 2019
Source_Used_Citation_Abbreviation: Steiner and Huettmann in review
Process_Date: 20230801

Spatial_Reference_Information:

Horizontal_Coordinate_System_Definition:

Geographic:

Latitude_Resolution: 0.1
Longitude_Resolution: 0.1
Geographic_Coordinate_Units: decimal degrees, 6 decimals

Geodetic_Model:

Horizontal_Datum_Name: NAD83
Ellipsoid_Name:Semi-major_Axis:Denominator_of_Flattening_Ratio:

Entity_and_Attribute_Information:

Overview_Description:

Entity_and_Attribute_Overview:

Geotiffs and shapefiles with their attributes and data For column description see Table 1 of this manuscript

Entity_and_Attribute_Detail_Citation:

Fairbanks Municipality dataset and other layers. List of layers:

Study area (shapefile) Lattice (shapefile) Fairbanks City boundary (shapefile) Transfer Stations (points) and proximity Restaurants and proximity Water and proximity Railroad and proximity Road and proximity Forest cover Soil map US Census data Data Cube of Lattice for Ensemble Model prediction

Distribution_Information:

Distributor:

Contact_Information:

Contact_Person_Primary:

Contact_Person: Falk Huettmann
Contact_Organization: University of Alaska Fairbanks

Contact_Address:

Address_Type: mailing address
Address: 2140 North Koyukuk Drive 419 Irving I
City: Fairbanks
State_or_Province: Alaska
Postal_Code: 99775
Country: United States

Contact_Voice_Telephone: 1907 474 7882
Contact_Electronic_Mail_Address: fhuettmann@alaska.edu

Distribution_Liability:

Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data for other purposes, nor on all computer systems, nor shall the act of distribution constitute any such warranty.

Standard_Order_Process:

Digital_Form:

Digital_Transfer_Information:

Format_Name: Digital Data

Digital_Transfer_Option:

Online_Option:

Computer_Contact_Information:

Network_Address:

Network_Resource_Name: https://doi.org/10.5066/xxxxxxxx

Fees: None

GIS data layers for 'Running a Super SDM (Species Distribution Model) ‘in the cloud’ for Better Habitat-Associations, Predictions and Inference: Applying Open Access Big Data, Machine Learning Ensembles on Great Gray Owls in Alaska' by F. Huettmann et al.

Metadata: