AndreaBozzo/ceres-open-data-index huggingface dataset:
Baltimore 10 years Shoreline Erosion Level

To quantify shoreline rates of change (erosion or accretion), Maryland Geological Survey (MGS) used historical and recent shorelines spanning 1994-2011 as input into the Digital Shoreline Analysis System (DSAS) Version 4.3. DSAS, a computer program developed by the U.S. Geological Survey (USGS), determines linear rates of shoreline change along closely spaced, shore-normal transects. Based on DSAS output, MGS assigned generalized rate of change categories as attributes to a recent shoreline for Baltimore County. This recent shoreline consisted of the National Oceanic and Atmospheric Administration (NOAA) Continually Updated Shoreline Product (CUSP) digital shoreline currently available for Baltimore County. Based on the results of an End Point Rate (EPR) analysis on the ca. 1990s shoreline and the ca. 2000/2010 shoreline (recent shoreline), MGS grouped the rate results into the following general categories: (a) No change (-0.01 to 0.01 feet/year), (b) Accretion (greater than 0.01 feet/year), (c) Slight erosion rate (0 to -2 feet/year), (d) Low erosion rate (-2 to -4 feet/year), (e) Moderate erosion rate (-4 to -8 ft/yr), (f) High erosion rate (greater than -8 feet/year), (g) Protected, (h) No data (insufficient shorelines to calculate 10-year EPR rate), (i) No data (no transects cast; unprotected or unknown shoreline condition), and (j) No data (rates not delivered; calculated rates suspect). Negative rate of change values indicate erosion, and positive values indicate accretion. In general, MGS tried to attribute lengths of shoreline of at least 80 meters in length sharing similar rates of change.
Assisted Living

OP&R organizes and prepares for public health and medical emergencies through statewide partnerships with public, private and government agencies to coordinate an effective emergency response for the health and safety of all residents of Maryland. The Office of Preparedness and Response is responsible for staffing the Maryland Department of Health & Mental Hygiene (DHMH) Command Center during a significant public health event such as pandemic, natural disaster, act of terrorism or any incident that requires the coordination of state level health department resources. All staff are trained in the National Incident Management System (NIMS) and Incident Command System (ICS). The DHMH Command Center coordinates the state health department response to an incident in collaboration with the MEMA's Emergency Operations Center and other state agencies.
Boundary

Maryland aboveground biomass map [30m] generated using Random Forests regression models. For more information visit https://daac.ornl.gov/CMS/guides/CMS_Maryland_AGB_Canopy.html. High Resolution Carbon Monitoring and Modeling: A NASA CMS Phase II Study Last Updated: 2011 Feature Link: https://mdgeodata.md.gov/imap/rest/services/Biota/MD_Biomass/MapServer/1
BRHP Opportunity Designations

The Baltimore Regional Housing Partnership (BRHP) operates the Baltimore Housing Mobility Program (BHMP) in Baltimore City and the five metropolitan counties of Anne Arundel, Baltimore, Carroll, Harford and Howard. The Baltimore Housing Mobility Program encourages families to lease in "Opportunity Areas", which provide opportunities for our families to access areas with good schools, goods and services, low crime rates, and low poverty concentrations. http://www.brhp.org/landlords/development_information_page. The case of Thompson v. HUD. The following link provides information on census tracts designated as Communities of Opportunity in the Thompson case: http://www.brhp.orghttp://dhcd.maryland.gov/HousingDevelopment/Documents/lihtc/Final%202016%20MD%20QAP%20Signed%20by%20Governor%208-9-16.pdf.
Camping

These baseline recreational use data will inform planning efforts being undertaken by the Maryland Department of Natural Resources to help inform public access, land acquisition, future planning and decision-making. Collecting data on the variety of ways the Chesapeake waters and surrounding lands are used will help us plan for reducing use conflicts in our coastal waters, maximizing efficiency, and enhancing environmental and economic productivity. Chesapeake Bay waters are used in many ways: commercial fishing, aquaculture, transport, habitat for wildlife, and recreation, among others. With new and expanding coastal and marine uses, as well as Maryland’s growing coastal population, the pressure is mounting to ensure that there is space for both traditional and new uses and that conflicts are minimized. Some mapped human use data exist, but Maryland has limited recreational water use data for the Chesapeake waters. Basic data on how we use our coastal waters was collected by inviting residents and experts to share their knowledge about recreational uses at workshops using geographical information systems technology.
CAMA Land

This is a comprehensive point theme that incorporates Computer Assisted Mass Appraisal (CAMA) property land characteristics for land types associated with a given parcel account number (ACCTID field). Data for the CAMA Land point theme are obtained from the State Department of Assessments and Taxation for all jurisdictions on a yearly basis. This is a multi-record per parcel account number point theme. The CAMA Land point theme can be joined to the CAMA Core point theme on parcel account number. The CAMA Land point theme should not be joined to the CAMA Building or Building Subareas point themes because this theme is a property and not a building point theme. For more information on the attribute definitions please see the MdProperty View User's Guide, available for download at http://planning.maryland.gov/OurProducts/downloadFiles.shtml. CAMA attribute definitions can be found in Appendix D of the User's Guide.
CAMA Detailed Building Characteristics

This is a comprehensive point theme that incorporates Computer Assisted Mass Appraisal (CAMA) building characteristics for buildings associated with a given parcel account number (ACCTID field). Data for the CAMA Building point theme are obtained from the State Department of Assessments and Taxation for all jurisdictions on a yearly basis. This is a multi-record per parcel account number point theme. The CAMA Building point theme can be joined to the CAMA Core point theme on parcel account number or to the CAMA Building Subareas point theme on the multi-record CAMALINK field. For more information on the attribute definitions please see the MdProperty View User's Guide, available for download at http://planning.maryland.gov/OurProducts/downloadFiles.shtml. CAMA attribute definitions can be found in Appendix D of the User's Guide.
CAMA Core

This is a comprehensive point theme that incorporates Computer Assisted Mass Appraisal (CAMA) core property characteristics, including summary building characteristics for the property, associated with a given parcel account number (ACCTID field). Data for the CAMA Core point theme are obtained from the State Department of Assessments and Taxation for all jurisdictions on a yearly basis. This is a single record per parcel account number point theme. All other CAMA point themes, Building, Building Subareas and Land, can be joined to this point theme. For more information on the attribute definitions please see the MdProperty View User's Guide, available for download at http://planning.maryland.gov/OurProducts/downloadFiles.shtml. CAMA attribute definitions can be found in Appendix D of the User's Guide.
Calvert 40 years Shoreline Erosion Level

To quantify shoreline rates of change (erosion or accretion), Maryland Geological Survey (MGS) used historical and recent shorelines spanning 1960-2007 as input into the Digital Shoreline Analysis System (DSAS) Version 4.3. DSAS, a computer program developed by the U.S. Geological Survey (USGS), determines linear rates of shoreline change along closely spaced, shore-normal transects. Based on DSAS output, MGS assigned generalized rate of change categories as attributes to a recent shoreline for Calvert County. This recent shoreline consisted of the National Oceanic and Atmospheric Administration (NOAA) Continually Updated Shoreline Product (CUSP) digital shoreline currently available for Calvert County; and 2) portions of the Maryland Department of Natural Resources (MD DNR) Critical Area Commission (CAC) digital shoreline for Calvert County. Based on the results of an End Point Rate (EPR) analysis on the ca. 1960s shoreline and the ca. 2000 shoreline (recent shoreline), MGS grouped the rate results into the following general categories: (a) No change (-0.01 to 0.01 feet/year), (b) Accretion (greater than 0.01 feet/year), (c) Slight erosion rate (0 to -2 feet/year), (d) Low erosion rate (-2 to -4 feet/year), (e) Moderate erosion rate (-4 to -8 ft/yr), (f) High erosion rate (greater than -8 feet/year), (g) Protected, (h) No data (insufficient shorelines to calculate 40-year EPR rate), (i) No data (no transects cast; unprotected or unknown shoreline condition), and (j) Rates not delivered (calculated rates suspect). The CUSP shoreline represents the shoreline position in Calvert County between the years 2005-2006. The CAC shoreline represents the shoreline position in Calvert County in 2007. In Calvert County, the NOAA CUSP data set covered approximately 90% of the shoreline in the county. MGS supplemented the NOAA CUSP data with CAC data in the following areas where NOAA CUSP data was missing: Hunting Creek; upper 2/3 of Hall Creek; and Patuxent River, from approximately 1 kilometer south of the Merkle Wildlife Sanctuary, north to (and including) Lyons Creek. To identify which shoreline source is responsible for a shoreline segment, view the "DSAS_SRC" attribute table field -- "CAC" indicates a shoreline sourced from MD DNR CAC data set; "NOAA CUSP" indicates a shoreline sourced from the NOAA CUSP data set. Negative rate of change values indicate erosion, and positive values indicate accretion. In general, MGS tried to attribute lengths of shoreline of at least 80 meters in length sharing similar rates of change.
Calvert 10 years Shoreline Erosion Level

To quantify shoreline rates of change (erosion or accretion), Maryland Geological Survey (MGS) used historical and recent shorelines spanning 1993-2007 as input into the Digital Shoreline Analysis System (DSAS) Version 4.3. DSAS, a computer program developed by the U.S. Geological Survey (USGS), determines linear rates of shoreline change along closely spaced, shore-normal transects. Based on DSAS output, MGS assigned generalized rate of change categories as attributes to a recent shoreline for Calvert County. This recent shoreline consisted of the National Oceanic and Atmospheric Administration (NOAA) Continually Updated Shoreline Product (CUSP) digital shoreline currently available for Calvert County; and 2) portions of the Maryland Department of Natural Resources (MD DNR) Critical Area Commission (CAC) digital shoreline for Calvert County. Based on the results of an End Point Rate (EPR) analysis on the ca. 1990s shoreline and the ca. 2000 shoreline (recent shoreline), MGS grouped the rate results into the following general categories: (a) No change (-0.01 to 0.01 feet/year), (b) Accretion (greater than 0.01 feet/year), (c) Slight erosion rate (0 to -2 feet/year), (d) Low erosion rate (-2 to -4 feet/year), (e) Moderate erosion rate (-4 to -8 ft/yr), (f) High erosion rate (greater than -8 feet/year), (g) Protected, (h) No data (insufficient shorelines to calculate 10-year EPR rate), (i) No data (no transects cast; unprotected or unknown shoreline condition), and (j) Rates not delivered (calculated rates suspect). The NOAA CUSP shoreline represents the shoreline position in Calvert County between the years 2005-2006. The CAC shoreline represents the shoreline position in Calvert County in 2007. In Calvert County, the NOAA CUSP data set covered approximately 90% of the shoreline in the county. MGS supplemented the NOAA CUSP data with CAC data in the following areas where NOAA CUSP data was missing: Hunting Creek; upper 2/3 of Hall Creek; and Patuxent River, from approximately 1 kilometer south of the Merkle Wildlife Sanctuary, north to (and including) Lyons Creek. To identify which shoreline source is responsible for a shoreline segment, view the "DSAS_SRC" attribute table field -- "CAC" indicates a shoreline sourced from MD DNR CAC data set; "NOAA CUSP" indicates a shoreline sourced from the NOAA CUSP data set. Negative rate of change values indicate erosion, and positive values indicate accretion. In general, MGS tried to attribute lengths of shoreline of at least 80 meters in length sharing similar rates of change.
Bottom Classification 2015 Offshore Wind

The field surveys were conducted for NOAA by SAIC on board M/V Atlantic Surveyor. Full reports and associated files are available for download at https://data.noaa.gov/dataset. Sheet H11649 was surveyed from August 17, 2007 to November 18, 2007. Sheet H11650 was surveyed from September 29, 2007 to November 18, 2007. Sheet H11872 was surveyed from July 16, 2008 to December 19, 2008. Sheet H11873 was surveyed from October 13, 2008 to December 18, 2008. Bottom class polygons with CMECS classifications based on ARC GIS 10.2 maximum likelihood raster classification performed on compiled side scan sonar mosaic raster. Side scan data collected by SAIC and provided by NOAA. Funding to compile these datasets provided by BOEM under cooperative agreement number: M14AC00007. Data processing and compilation was executed by Maryland Geological Survey.
Bottom Classification 2012 CZM Block 2

QuesterTangent’s SWATHVIEW seabed classification software to post-process the 410 kHz side scan sonar signal. This software analyzes the side scan sonar backscatter signal to produce a classification map based on the acoustical reflectivity characteristics of bottom sediments. Employing proprietary algorithms SWATHVIEW uses multivariate analysis to find patterns in the side scan acoustic backscatter signal which reflect bottom textural parameters. Cluster analysis is used to group together regions of similar acoustic backscatter characteristics, or classes. Once the acoustic classes were determined, they were correlated with bottom samples and imagery. Bottom grab samples were obtained using a Van Veen sampler with a 4-inch depth capacity. Sampling sites were chosen based on the side scan data. We took samples on acoustically distinct bottom types to confirm our estimates of those types. The seabed classification data were layered over the side scan mosaics and bathymetry. These data sets were used to correlate side scan reflectivity with acoustic seabed classes and detect any influences that abrupt changes in seafloor slope may have on the acoustic data. Steep slopes tend to scatter the acoustic signals and produce anomalous data. REFS: Conkwright, R.D., Van Ryswick, S, Sylvia, E.R. 2014. Seafloor Survey of Nearshore Ocean City Maryland. Maryland Geological Survey. Funding to compile these datasets provided by BOEM under cooperative agreement number: M14AC00007. Data processing and compilation was executed by Maryland Geological Survey.
Bottom Classification 2011 CZM Block 1

QuesterTangent’s SWATHVIEW seabed classification software was used to post-process the 410 kHz side scan sonar signal. This software analyzes the side scan sonar backscatter signal to produce a classification map based on the acoustical reflectivity characteristics of bottom sediments. Employing proprietary algorithms SWATHVIEW uses multivariate analysis to find patterns in the side scan acoustic backscatter signal which reflect bottom textural parameters. Cluster analysis is used to group together regions of similar acoustic backscatter characteristics, or classes. Once the acoustic classes were determined, they were correlated with bottom samples and imagery. Bottom grab samples were obtained using a Van Veen sampler with a 4-inch depth capacity. Sampling sites were chosen based on the side scan data. We took samples on acoustically distinct bottom types to confirm our estimates of those types. The seabed classification data were layered over the side scan mosaics and bathymetry. These data sets were used to correlate side scan reflectivity with acoustic seabed classes and detect any influences that abrupt changes in seafloor slope may have on the acoustic data. Steep slopes tend to scatter the acoustic signals and produce anomalous data. REFS: Conkwright, R.D., Van Ryswick, S, Sylvia, E.R. 2014. Seafloor Survey of Nearshore Ocean City Maryland. Maryland Geological Survey. Funding to compile these datasets provided by BOEM under cooperative agreement number: M14AC00007. Data processing and compilation was executed by Maryland Geological Survey.
Hospice

OP&R organizes and prepares for public health and medical emergencies through statewide partnerships with public, private and government agencies to coordinate an effective emergency response for the health and safety of all residents of Maryland. The Office of Preparedness and Response is responsible for staffing the Maryland Department of Health & Mental Hygiene (DHMH) Command Center during a significant public health event such as pandemic, natural disaster, act of terrorism or any incident that requires the coordination of state level health department resources. All staff are trained in the National Incident Management System (NIMS) and Incident Command System (ICS). The DHMH Command Center coordinates the state health department response to an incident in collaboration with the MEMA's Emergency Operations Center and other state agencies.
Horseback Riding

These baseline recreational use data will inform planning efforts being undertaken by the Maryland Department of Natural Resources to help inform public access, land acquisition, future planning and decision-making. Collecting data on the variety of ways the Chesapeake waters and surrounding lands are used will help us plan for reducing use conflicts in our coastal waters, maximizing efficiency, and enhancing environmental and economic productivity. Chesapeake Bay waters are used in many ways: commercial fishing, aquaculture, transport, habitat for wildlife, and recreation, among others. With new and expanding coastal and marine uses, as well as Maryland’s growing coastal population, the pressure is mounting to ensure that there is space for both traditional and new uses and that conflicts are minimized. Some mapped human use data exist, but Maryland has limited recreational water use data for the Chesapeake waters. Basic data on how we use our coastal waters was collected by inviting residents and experts to share their knowledge about recreational uses at workshops using geographical information systems technology.
Historic Oyster Bottom

Representation of historic oyster bottom as charted prior to the present, legally designated Named Oyster Bars (Yates Bars and Amendments), using source materials from 1906 to 1977. The Department of Natural Resources makes no warranty, expressed or implied, as to the use or appropriateness of Spatial Data, and there are no warranties of merchantability or fitness for a particular purpose or use. The information contained in Spatial Data is from publicly available sources, but no representation is made as to the accuracy or completeness of Spatial Data. The Department of Natural Resources shall not be subject to liability for human error, error due to software conversion, defect, or failure of machines, or any material used in the connection with the machines, including tapes, disks, CD-ROM’s or DVD-ROM’s and energy. The Department of Natural Resources shall not be liable for any lost profits, consequential damages, or claims against the Department of Natural Resources by third parties. The liability of the Department of Natural Resources for damage regardless of the form of the action shall not exceed any distribution fees that may have been paid in obtaining Spatial Data.
Historic and Cultural

Maryland, through its Coastal Zone Management (CZM) Program, is collecting information on how the public uses the Chesapeake Bay waters and adjacent lands. These baseline data will inform planning efforts being undertaken by the Maryland Department of Natural Resources to help inform public access, land acquisition, and future oyster aquaculture planning and decision-making. Collecting data on the variety of ways our Chesapeake waters are used will help us plan for reducing use conflicts in our coastal waters, maximizing efficiency, and enhancing environmental and economic productivity. Chesapeake Bay waters are used in many ways: commercial fishing, aquaculture, transport, habitat for wildlife, and recreation, among others. With new and expanding coastal and marine uses, as well as Maryland’s growing coastal population, the pressure is mounting to ensure that there is space for both traditional and new uses and that conflicts are minimized. Some mapped human use data exist, but Maryland has limited recreational water use data for the Chesapeake waters. Basic data on how we use our coastal waters was collected by inviting residents and experts to share their knowledge about recreational uses at workshops using geographical information systems technology.
Hiking

These baseline recreational use data will inform planning efforts being undertaken by the Maryland Department of Natural Resources to help inform public access, land acquisition, future planning and decision-making. Collecting data on the variety of ways the Chesapeake waters and surrounding lands are used will help us plan for reducing use conflicts in our coastal waters, maximizing efficiency, and enhancing environmental and economic productivity. Chesapeake Bay waters are used in many ways: commercial fishing, aquaculture, transport, habitat for wildlife, and recreation, among others. With new and expanding coastal and marine uses, as well as Maryland’s growing coastal population, the pressure is mounting to ensure that there is space for both traditional and new uses and that conflicts are minimized. Some mapped human use data exist, but Maryland has limited recreational water use data for the Chesapeake waters. Basic data on how we use our coastal waters was collected by inviting residents and experts to share their knowledge about recreational uses at workshops using geographical information systems technology.
Bottom Classification 2002 Shoal Field 1

USACE, Maryland Geological Survey (MGS), Minerals Management Service (MMS), and academic scientists have studied the seafloor and shoals of the Maryland offshore study area in order to determine their potential use as a source of sand for beach nourishment. Studies conducted by MGS of Fenwick, Weaver, and Isle of Wight Shoals show four general patterns of substrate conditions: 1) Shoal crest - generally is restricted to the undisturbed shoal crest at depths less than 35 it (11.2 m) and, has no discernable bedforms; Shoal crests consist of sand with almost no shell material; Coarser gravels are concentrated in areas of greatest wave and current energies, such as along the shoal crest. 2) Flank- bottom class associated With the shoal crest; primarily found along the shoal flanks between -35 ft and -40 ft, representing transitional bottom, from shoal crest to intershoal bottom type; sand, the texture of which may or may not be significantly different than that of the shoal crest; occasional ripples; sand with some shell and other biogenic materials. 3) Intershoal-associated with the deeper sea bottom (> 40 feet), both disturbed (dredged) and undisturbed intershoal areas or troughs; sandy bottom dominated by small ripples ( 40 feet) in trough or intershoal areas; large patches, ~l00 it in diameter, associated with rippled bottom within the dredged area; interpreted to be soft, finer-grained sediment based on low backscatter intensity return; Patch-mat regions occur between shoals that have muddy substrates, abundant patches/mats of worm tube colonies, and shell beds. Refs: Army Corps of Engineers: Baltimore District, 2007 “Atlantic Coast of Maryland Shoreline Protection Project General Reevaluation Study: Borrow Sources for 2010 – 2044” MMS, BOEM, VIMS, 2000 “Environmental Survey of Potential Sand Resource Sites Offshore Delaware and Maryland”