The statistical threshold was set at |t|>2.093 (P486 mm3, which corresponds to a corrected P

The F. C. Deemer repository at NETL consists of over 10,000 samples of drill cuttings from historic wells within the Appalachian Basin in Pennsylvania. The samples are from 24 wells within Jefferson and Clearfield counties. These wells were drilled by independent natural gas driller F. C. Deemer from the 1920's to 1950's. All of the wells contain samples from Devonian age rocks including multiple samples of Marcellus shale throughout the region. The data presented with this repository includes digitized well records and production reports, stratigraphic type logs, maps, and well information spreadsheets.

Collection description

None

Subject species

homo sapiens

Modality

fMRI-BOLD

Cognitive paradigm (task)

rest eyes open

Map type

Z

Distribution of markers on parental maps (GG and FC) and linkage group statistics.

The City of Fort Collins GIS Online Mapping tool (FCMaps) provide current, timely and local geographic information in an easy to use viewer. FCMaps is mobile friendly and will work well on tablets and smartphones as well as a desktop browser.

Here you will find a map of the bike lanes/paths in Fort Collins.

The layer displays reported cumulative COVID-19 case rate per 100,000 people summarized by city of residence of the case.

smoothed r-scored maps Amyg_Left

Collection description

22 adolescents and young adults with ASD from the local community and from the University of Campinas. A trained and qualified clinician made the diagnosis of ASD using the DSM-5 criteria after interviewing the family and examining each patient. A second investigator confirmed the diagnosis using the “Current” Scores of the Autism Diagnostic Interview-Revised (ADI-R). The ADI-R is a clinical diagnostic instrument for assessing autism in children and adults. The ADI-R provides a diagnostic algorithm for autism as described in both the ICD-10 and DSM-IV and is one of the most important validated ASD measures available in Brazil. Child testing and parent interviews should be viewed as complimentary and necessary components of the diagnostic evaluation after the clinical evaluation and DSM-5 criteria. All patients were required to have a full-scale IQ greater than 85, as measured by the Wechsler Abbreviated Scale of Intelligence.
Exclusion criteria comprised a history of major psychiatric disorders (e.g. depression, psychosis), seizure, head injury, toxic exposure and the evidence of genetic, metabolic or infectious disorders. We also excluded individuals with secondary autism related to a specific etiology such as tuberous sclerosis or Fragile X syndrome. Thirteen individuals in the ASD group were using a variety of psychoactive medications. Nine subjects were not under psychoactive drug treatment. Five subjects were taking psychostimulants, seven were taking antipsychotics and six were taking selective serotonin reuptake inhibitors (SSRIs). Six of these subjects were using more than one of the medications listed above. Participants were instructed not take any medication one day before their visit.

We are including FC maps derived from 5 distinct seeds: PCC (the MNI coordinate −41 13 −29); medial frontal region (MNI 0 49 −3); left amygdala (MNI −23 −4 −20); left anterior hippocampus (MNI −24 −13 −20); left temporal pole (−41 13 −29)

Subject species

homo sapiens

Modality

fMRI-BOLD

Analysis level

single-subject

Cognitive paradigm (task)

None / Other

Map type

Other

Gravity data were compiled, collected, and edited to produce an isostatic gravity map of the Los Angeles 30 x 60 minute quadrangle, California. This record focuses primarily on the principal facts, that is, gravity observations, and the corrections made to those values to reflect the effects of elevation and terrain, and deep crustal structure.

Comparisons of FC maps from different brain areas between sleep and d-PIS states.

Colour raster copies of maps by Czech and European cartographers, cartographic shops and publishing houses up to year 1850. Maps and plans and usually printed, exceptionally manuscripts. The collection is divided into three parts: Czech maps, foreign territory, city plans.

This data represents the functional classification data represented on LRS 23.1. Functional classification is the process by which streets and highways are grouped into classes, or systems, according to the character of service they are intended to provide. Basic to this process is the recognition that individual roads and streets do not serve travel independently in any major way, but serve as part of an overall network. Most travel involves movement throughout the network of roadways. It becomes necessary to determine how this travel can be channelized within the network in a logical and efficient manner. Functional classification defines the nature of this channelization process by defining the part that any particular road or street should play in serving the flow of trips through a highway network. The Virginia Department of Transportation's (VDOT) Transportation and Mobility Planning Division (TMPD) is responsible for maintaining the Commonwealth’s official Federal Functional Classification System. TMPD determines the functional classification of the road by type of trips, expected volume, what systems the roadway connects and whether the proposed functional classification falls within the mileage percentage thresholds established by the Federal Highway Administration (FHWA).

Derived available soil water capacity (volumetric fraction) with FC = pF 2.0 at 7 standard depths predicted using the global compilation of soil ground observations. Accuracy assessement of the maps is availble in Hengl et at. (2017) DOI: 10.1371/journal.pone.0169748. Data provided as GeoTIFFs with internal compression (co='COMPRESS=DEFLATE'). Measurement units: v%.

Project Connect expands transit services in Austin, TX including more options to the airport, downtown, Austin FC’s Stadium, The Domain, and Colony Park. Data Owner & Organization: Austin Transit Partnership - Planning & Federal Programs team.Data Source Details: See LRT and POI maps, visit the Project Connect website, or contact us for more information.Data Refresh Schedule: Data can be updated on a programmatic milestone basis.ATP Data Classification: Public; this data can be shared publicly.

This data represents the functional classification data represented on LRS 23.1. Functional classification is the process by which streets and highways are grouped into classes, or systems, according to the character of service they are intended to provide. Basic to this process is the recognition that individual roads and streets do not serve travel independently in any major way, but serve as part of an overall network. Most travel involves movement throughout the network of roadways. It becomes necessary to determine how this travel can be channelized within the network in a logical and efficient manner. Functional classification defines the nature of this channelization process by defining the part that any particular road or street should play in serving the flow of trips through a highway network. The Virginia Department of Transportation's (VDOT) Transportation and Mobility Planning Division (TMPD) is responsible for maintaining the Commonwealth’s official Federal Functional Classification System. TMPD determines the functional classification of the road by type of trips, expected volume, what systems the roadway connects and whether the proposed functional classification falls within the mileage percentage thresholds established by the Federal Highway Administration (FHWA).

This data represents the functional classification data represented on LRS 22.1. Functional classification is the process by which streets and highways are grouped into classes, or systems, according to the character of service they are intended to provide. Basic to this process is the recognition that individual roads and streets do not serve travel independently in any major way, but serve as part of an overall network. Most travel involves movement throughout the network of roadways. It becomes necessary to determine how this travel can be channelized within the network in a logical and efficient manner. Functional classification defines the nature of this channelization process by defining the part that any particular road or street should play in serving the flow of trips through a highway network. The Virginia Department of Transportation's (VDOT) Transportation and Mobility Planning Division (TMPD) is responsible for maintaining the Commonwealth’s official Federal Functional Classification System. TMPD determines the functional classification of the road by type of trips, expected volume, what systems the roadway connects and whether the proposed functional classification falls within the mileage percentage thresholds established by the Federal Highway Administration (FHWA).

The Heard Island and McDonald Island management maps and polygon datasets stored in a Quantum Geographical Information System (QGIS) GeoPackage format. The four maps were developed to update the management zones figures in accordance with the Heard Island and McDonald Island Marine Research Management Plan, 2014-2024.

The unaltered datasets used included the ANARE historical Sites, countours_terrasar_100m_draft, flyingbird_pt_heard_pt_0304, sealer historical sites and WATERCOURSE_LN_heard.

Several of the older datasets were updated or edited these include; the Antarctic prion nests and HI_South Georgian diving petrel 2003-4, which were adapted from the FLYING_BIRD_PY_heard dataset. The Current buildings on HI_2001 and HI_Refuge_operational datasets were adapted from the heard_infrastructure dataset. The ShagIsland_Sail_DruryRocks was adapted from the 2009 DEM. Alert Island dataset was digitised from a panchromatic Digital Globe Worldview-1 satellite imagery acquired on 23 March 2008.

Additional datasets were created for this project including – HI glaciers 2014; HI_Coastline_2014; HI_Lagoons2014; and the HI_Vegetation Zone 2014; all of which were digitised from a pansharpened image derived from multispectral and panchromatic Digital Globe GeoEye-1 satellite imagery acquired on 6 February 2014. The HI glaciers 2014 dataset is an estimate of glacier coverage of the island in 2014 (some semi-permeant snow areas may be included, therefore should not be used to calculate total glacier area of the island). The HI_Vegetation Zone 2014 was created using the False Colour (FC) images created by Digital Globe from the pansharpened image derived from multispectral and panchromatic Digital Globe GeoEye-1 satellite imagery, which was used to estimate the vegetation coverage of the island. The vegetation zone dataset should not be used to calculate total vegetation coverage of the island.

HI_LongBeach_Macaroni_Colony_2012-2016 was digitised from three pansharpened images derived from multispectral and panchromatic two GeoEye-1 satellite imageries acquired on 2 February 2012 and 6 February 2014 and Worldview-2 imagery acquired on 21 February 2016.

The HI_Heritage_Zone_2021; HI_MainUseZone_2021; HI_RestrictedZone_2021; and HI-VisitorAccessZone_2021 were all digitised based on the areas as defined in the 2014-224 Management Plan and altered to fit the new 2014 coastline. HI_WildernessZone_2014 is a duplicate of the HI_Coastline_2014 with the symbology altered to reflect the Wilderness Zone as defined in the Management Plan 2014-2024.

The McDonald Island coastline for 1980 (McD_1980_coastline) was digitised from the georeferenced 1980 aerial photo casa9491 image; the McD_2003_coastline was digitised from a pansharpened image derived from multispectral and panchromatic Digital Globe Quickbird satellite imagery acquired on 9 April 2003; the McD_coastline_2012 was digitised from a pansharpened image derived from multispectral and panchromatic Digital Globe GeoEye-1 satellite imagery acquired on 19 May 2012 and the McD_RestrictedZone_2022 was digitised from a pansharpened image derived from multispectral and panchromatic Maxar Worldview-3 satellite imagery acquired on 25 June 2020. As it encompasses the entire island it is also the 2020 coastline for McDonald Island.

This project contains the following unaltered files:
ANARE historical Sites
countours_terrasar_100m_draft
flyingbird_pt_heard_pt_0304
sealer historical sites
WATERCOURSE_LN_heard

This project contains the following altered/edited files:
Antarctic prion nests
HI_South Georgian diving petrel 2003-4
Current buildings on HI_2001
HI_Refuge_operational
ShagIsland_Sail_DruryRocks
Alert Island 2008

This project contains the following new files:
HI glaciers 2014
HI_Coastline_2014
HI_Lagoons2014
HI_Vegetation Zone 2014
HI_LongBeach_Macaroni_Colony_2012-2016
HI_Heritage_Zone_2021
HI_MainUseZone_2021
HI_RestrictedZone_2021
HI-VisitorAccessZone_2021
HI_WildernessZone_2014

McD_1980_coastline
McD_2003_coastline
McD_coastline_2012
McD_RestrictedZone_2022 (same as McD_coastline_2020)

Sewerage Treatment Plants dataset current as of 2007. Wastewater Treatment Plant FC of Wastewater Utility Map of City of Ashland, WI.

Water Distribution Lines dataset current as of 2007. Water Main FC of Water Utility Map of City of Ashland, WI.

ArcGIS and QGIS map packages, with ESRI shapefiles for the DSM2 Model Grid. These are not finalized products. Locations in these shapefiles are approximate.

Monitoring Stations - shapefile with approximate locations of monitoring stations.

DSM2 Grid 2025-05-28 Historical

FC_2023.01

DSM2 v8.2.0, calibrated version:

• dsm2_8_2_grid_map_calibrated.mpkx - ArcGIS Pro map package containing all layers and symbology for the calibrated grid map.
• dsm2_8_2_grid_map_calibrated.mpk - ArcGIS Desktop map package containing all layers and symbology for the calibrated grid map.
• dsm2_8_2_0_calibrated_grid_map_qgis.zip - QGIS map package containing all layers and symbology for the calibrated grid map.
• dsm2_8_2_0_calibrated_gridmap_shapefiles.zip - A zip file containing all the shapefiles used in the above map packages:
• dsm2_8_2_0_calibrated_channels_centerlines - channel centerlines, follwing the path of CSDP centerlines
• dsm2_8_2_0_calibrated_network_channels - channels represented by straight line segments which are connected the upstream and downstream nodes
• dsm2_8_2_0_calibrated_nodes - DSM2 nodes
• dsm2_8_2_0_calibrated_dcd_only_nodes - Nodes that are only used by DCD
• dsm2_8_2_0_calibrated_and_dcd_nodes - Nodes that are shared by DSM2 and DCD
• dsm2_8_2_0_calibrated_and_smcd_nodes - Nodes that are shared by DSM2 and SMCD
• dsm2_8_2_0_calibrated_gates_actual_loc - The approximate actual locations of each gate in DSM2
• dsm2_8_2_0_calibrated_gates_grid_loc - The locations of each gate in the DSM2 model grid
• dsm2_8_2_0_calibrated_reservoirs - The approximate locations of the reservoirs in DSM2
• dsm2_8_2_0_calibrated_reservoir_connections - Lines showing connections from reservoirs to nodes in DSM2

DSM2 v8.2.1, historical version:

• DSM2 v8.2.1, historical version grid map release notes (PDF), updated 7/12/2022
• DSM2 v8.2.1, historical version grid map, single zoom level (PDF)
• DSM2 v8.2.1, historical version grid map, multiple zoom levels (PDF) - PDF grid map designed to be printed on 3 foot wide plotter paper.
• DSM2 v8.2.1, historical version map package for ArcGIS Desktop: A map package for ArcGIS Desktop containing the grid map layers with symbology.
• DSM2 v8.2.1, historical version grid map shapefiles (zip): A zip file containing the shapefiles used in the grid map.

Change Log

7/12/2022: The document "DSM2 v8.2.1, historical version grid map release notes (PDF)" was corrected by removing section 4.4, which incorrectly stated that the grid included channels 710-714, representing the Toe Drain, and that the Yolo Flyway restoration area was included.

The zip file can be unzipped to a set of MATALB *.mat files, which contain based-voxel functional connectivity data and relevant information. The whole data set can be divided into two groups, i.e., sleep group and anesthesia group. The sleep group data includes two states (sleeping and waking), while the anesthesia group data includes three states (waking, mild-PIS and deep-PIS). (ZIP)