The following data were used for the Department of Water Resources' (DWR) Disadvantaged Communities (DAC) Mapping Tool: https://gis.water.ca.gov/app/dacs/. The data source is from the US Census (American Community Survey), that may include attribute table additions by DWR. The DAC Mapping Tool was designed, and the related datasets made publicly available, to assist in the evaluation of DACs throughout the state, as may relate to the various Grant Programs within the Financial Assistance Branch (FAB) at DWR. The definition of DAC may vary by grant program (within FAB, DWR or grant programs of other public agencies). As such, users should be familiar with the specific requirements for meeting DAC status, based on the particular grant solicitation/program of interest.

For more information related to the Grant Programs within the Financial Assistance Branch, visit: https://water.ca.gov/Work-With-Us/Grants-And-Loans/IRWM-Grant-Programs https://water.ca.gov/Work-With-Us/Grants-And-Loans/Sustainable-Groundwater

Additional questions or requests for information related to the DAC datasets (or the DAC Mapping Tool) should be directed to: dwr_irwm@water.ca.gov.

For more information on DWR's FAB programs, please visit: https://water.ca.gov/Work-With-Us/Grants-And-Loans/IRWM-Grant-Programs

The Climate Leadership and Community Protection Act (CLCPA) directs the Climate Justice Working Group (CJWG) to establish criteria for defining disadvantaged communities. This dataset identifies areas throughout the State that meet the final disadvantaged community definition as voted on by the Climate Justice Working Group.

The New York State Energy Research and Development Authority (NYSERDA) offers objective information and analysis, innovative programs, technical expertise, and support to help New Yorkers increase energy efficiency, save money, use renewable energy, accelerate economic growth, and reduce reliance on fossil fuels. To learn more about NYSERDA’s programs, visit nyserda.ny.gov or follow us on X, Facebook, YouTube, or Instagram.

California Department of Water Resources layer of disadvantaged communities in California based on 2016 census.

This layer shows census tracts that meet the following definitions: Census tracts with median household incomes at or below 80 percent of the statewide median income or with median household incomes at or below the threshold designated as low income by the Department of Housing and Community Development’s list of state income limits adopted under Healthy and Safety Code section 50093 and/or Census tracts receiving the highest 25 percent of overall scores in CalEnviroScreen 4.0 or Census tracts lacking overall scores in CalEnviroScreen 4.0 due to data gaps, but receiving the highest 5 percent of CalEnviroScreen 4.0 cumulative population burden scores or Census tracts identified in the 2017 DAC designation as disadvantaged, regardless of their scores in CalEnviroScreen 4.0 or Lands under the control of federally recognized Tribes.

This dataset identifies areas throughout the State that meet the final disadvantaged community definition as voted on by the Climate Justice Working Group on March 27th, 2023. It contains the 4,918 census tracts in New York State and identifies the 1,736 census tracts that make up the current Disadvantaged Communities (DAC) definition. The dataset also includes the 45 indicators, expressed as a percentile ranking, used to determine each census tracts’ Environmental Burden and Climate Change Risks, and Population Characteristics and Health Vulnerabilities. The source for the Census Tract data is the US Census Bureau, Geography Division, Year 2019. For more information, please visit https://www.census.gov/cgi-bin/geo/shapefiles/index.php. The chosen 45 indicators represent a variety of data sources, both private and public. Further details on the methodology and resources can be found at https://climate.ny.gov/DAC-Criteria in the Technical Documentation, Indicator Prioritization and Selection section.View Dataset on the Gateway

This Disadvantaged Communities (DAC) file contains the Census tracts that met criteria as 2022 Disadvantaged Communities (SB535) with Tribal Areas that fall outside of the designated Census tracts.This DAC file represents four (4)geographic areas. In this designation, CalEPA formally designated four categories of geographic areas as disadvantaged:1. Census tracts receiving the highest 25 percent of overall scores in CalEnviroScreen 4.0.2. Census tracts lacking overall scores in CalEnviroScreen 4.0 due to data gaps, but receiving the highest 5 percent of CalEnviroScreen 4.0 cumulative pollution burden scores.3. Census tracts identified in the 2017 DAC designation as disadvantaged, regardless of their scores in CalEnviroScreen 4.0.4. Lands under the control of federally recognized Tribes. For purposes of this designation, a Tribe may establish that a particular area of land is under its control even if not represented as such on CalEPA’s DAC map and therefore should be considered a DAC by requesting a consultation with the CalEPA Deputy Secretary for Environmental Justice, Tribal Affairs and Border Relations at TribalAffairs@calepa.ca.gov.SCAG combined both those Census tracts described in 1-3 categories and tribal areas defined by the United States Census Bureau in the 4th category to present a single layer with all of the designated disadvantaged communities.Note: Tribal Areas do not have CalEnviroScreen 4.0 analysis.

This dataset identifies areas throughout the State that meet the interim criteria identified for a disadvantaged community as defined by New York State. It contains the 4,145 Census block groups that make up the current interim Disadvantaged Communities (DAC) approach. NYSERDA currently hosts a map on its website showing the interim DAC areas with an address look-up function that allows users to enter an address to determine if the address falls inside or outside an interim DAC: https://www.nyserda.ny.gov/ny/disadvantaged-communities The New York State Energy Research and Development Authority (NYSERDA) offers objective information and analysis, innovative programs, technical expertise, and support to help New Yorkers increase energy efficiency, save money, use renewable energy, and reduce reliance on fossil fuels. To learn more about NYSERDA’s programs, visit https://nyserda.ny.gov or follow us on X, Facebook, YouTube, or Instagram.

This layer represents the geographic areas 1-4 below.In this designation, CalEPA formally designated four categories of geographic areas as disadvantaged:1. Census tracts receiving the highest 25 percent of overall scores in CalEnviroScreen 4.02. Census tracts lacking overall scores in CalEnviroScreen 4.0 due to data gaps, but receiving the highest 5 percent of CalEnviroScreen 4.0 cumulative pollution burden scores.3. Census tracts identified in the 2017 DAC designation as disadvantaged, regardless of their scores in CalEnviroScreen 4.04. Lands under the control of federally recognized Tribes. For purposes of this designation, a Tribe may establish that a particular area of land is under its control even if not represented as such on CalEPA's DAC map and therefore should be considered a DAC by requesting a consultation with the CalEPA Deputy Secretary for Environmental Justice, Tribal Affairs and Border Relations at TribalAffairs@calepa.ca.gov

This layer represents the geographic areas 4 below. Category 1-3, census tracts, are in the other layer.In this designation, CalEPA formally designated four categories of geographic areas as disadvantaged:Census tracts receiving the highest 25 percent of overall scores in CalEnviroScreen 4.0 (1,984 tracts).Census tracts lacking overall scores in CalEnviroScreen 4.0 due to data gaps, but receiving the highest 5 percent of CalEnviroScreen 4.0 cumulative pollution burden scores (19 tracts).Census tracts identified in the 2017 DAC designation as disadvantaged, regardless of their scores in CalEnviroScreen 4.0 (305 tracts).Lands under the control of federally recognized Tribes. For purposes of this designation, a Tribe may establish that a particular area of land is under its control even if not represented as such on CalEPA’s DAC map and therefore should be considered a DAC by requesting a consultation with the CalEPA Deputy Secretary for Environmental Justice, Tribal Affairs and Border Relations at TribalAffairs@calepa.ca.gov. This file contains legal AIANNH entities for which the Census Bureau publishes data. The legal entities consist of federally recognized American Indian Reservations (AIRs) and Off-Reservation Trust Lands (ORTL). Downloaded in 2022 from the US Census website here: https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-geodatabase-file.html

This layer represents the geographic areas 1-3 below. Category 4, tribal lands, are in the other layer.In this designation, CalEPA formally designated four categories of geographic areas as disadvantaged:1. Census tracts receiving the highest 25 percent of overall scores in CalEnviroScreen 4.0 (1,984 tracts).2. Census tracts lacking overall scores in CalEnviroScreen 4.0 due to data gaps, but receiving the highest 5 percent of CalEnviroScreen 4.0 cumulative pollution burden scores (19 tracts).3. Census tracts identified in the 2017 DAC designation as disadvantaged, regardless of their scores in CalEnviroScreen 4.0 (307 tracts).4. Lands under the control of federally recognized Tribes. For purposes of this designation, a Tribe may establish that a particular area of land is under its control even if not represented as such on CalEPA’s DAC map and therefore should be considered a DAC by requesting a consultation with the CalEPA Deputy Secretary for Environmental Justice, Tribal Affairs and Border Relations at TribalAffairs@calepa.ca.gov.

This layer represents the geographic areas 1-3 below. Category 4, tribal lands, are in the other layer.In this designation, CalEPA formally designated four categories of geographic areas as disadvantaged:1. Census tracts receiving the highest 25 percent of overall scores in CalEnviroScreen 4.0 (1,984 tracts).2. Census tracts lacking overall scores in CalEnviroScreen 4.0 due to data gaps, but receiving the highest 5 percent of CalEnviroScreen 4.0 cumulative pollution burden scores (19 tracts).3. Census tracts identified in the 2017 DAC designation as disadvantaged, regardless of their scores in CalEnviroScreen 4.0 (307 tracts).4. Lands under the control of federally recognized Tribes. For purposes of this designation, a Tribe may establish that a particular area of land is under its control even if not represented as such on CalEPA’s DAC map and therefore should be considered a DAC by requesting a consultation with the CalEPA Deputy Secretary for Environmental Justice, Tribal Affairs and Border Relations at TribalAffairs@calepa.ca.gov. More information on this layer can be found here: https://oehha.ca.gov/calenviroscreen/report/calenviroscreen-40Citation: OEHHA, 2022Data Source: https://oehha.ca.gov/calenviroscreen/sb535Data downloaded from source: 11/28/2022

CDFW BIOS GIS Dataset, Contact: Financial Assistance Branch, Description: This is a copy of the statewide Census Tract GIS Tiger file. It is used to determine if a census tract (CT) is DAC or not by adding ACS (American Community Survey) Median Household Income (MHI) data at the CT level.

Lands under the control of federally recognized Tribes. These boundaries have been clipped to the boundary of California so that only the portions of each Tribal area that fall within California are included. For purposes of this designation, a Tribe may establish that a particular area of land is under its control even if not represented as such on CalEPA's DAC map and therefore should be considered a DAC by requesting a consultation with the CalEPA Deputy Secretary for Environmental Justice, Tribal Affairs and Border Relations at TribalAffairs@calepa.ca.gov

The AIANNH feature class from the Census Bureau depicts actual parcels of land which fall into one of the following classifications:

• Federally designated Tribal reservation
• Off-reservation trust land (ORTL) (U.S. Trust owned by the US Government, managed by the BIA on behalf of the designated Tribe)

Here we present the genetic map construction methods for the switchgrass 4-way mapping population. The map spans 750 recombinant 4-way (pseudo F2) progeny genotyped at 4700 markers. These data are formatted for simple input into R/qtl and most other QTL mapping programs.

CAP ilots used in the processing of applications for CAD (Sustainable Agriculture Contract), contracts related to the 2006-2010 programme, these contracts were completed in 2012. History: CAP ilots (possibly before full validation by the DDAF as part of the RPG’s instruction) the most recent used as the basis for the CAD commitment requests (DAC request localisation plan), for consultation in ACTE. This data has been imported from CartoCAD, the ADASEA input software, using a locally defined frequency and modality of shipments between DDAF and ADASEA. This layer can be different from the layer of CAP ilots: it may be more recent than the layer of CAP islets on the basis of consultation (update of islets when applying for CAD filed in year n compared to those declared in campaign n-1), but it is not valid for the purposes of Instruction of area declarations.

Find out import shipments and details about Dac Technologies Group Intl Inc Import Data report along with address, suppliers, products and import shipments.

Credit report of Dac Industrial Electronics Inc. contains unique and detailed export import market intelligence with it's phone, email, Linkedin and details of each import and export shipment like product, quantity, price, buyer, supplier names, country and date of shipment.

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Forest Ecosystem Dynamics (FED) Project Spatial Data Archive: Edinburg Township Forest Map

The Biospheric Sciences Branch (formerly Earth Resources Branch) within the Laboratory for Terrestrial Physics at NASA's Goddard Space Flight Center and associated University investigators are involved in a research program entitled Forest Ecosystem Dynamics (FED) which is fundamentally concerned with vegetation change of forest ecosystems at local to regional spatial scales (100 to 10,000 meters) and temporal scales ranging from monthly to decadal periods (10 to 100 years). The nature and extent of the impacts of these changes, as well as the feedbacks to global climate, may be addressed through modeling the interactions of the vegetation, soil, and energy components of the boreal ecosystem.

The Howland Forest research site lies within the Northern Experimental Forest of International Paper. The natural stands in this boreal-northern hardwood transitional forest consist of spruce-hemlock-fir, aspen-birch, and hemlock-hardwood mixtures. The topography of the region varies from flat to gently rolling, with a maximum elevation change of less than 68 m within 10 km. Due to the region's glacial history, soil drainage classes within a small area may vary widely, from well drained to poorly drained. Consequently, an elaborate patchwork of forest communities has developed, supporting exceptional local species diversity.

This data layer contains forest polygons with information on cover type, volume, and crown closure for both the forest overstory and understory for the Township of Edinburg located in Penobscot County, Maine. The map was digitized, projected and differentially corrected using Global Positioning System points. Forest types were determined by delineation from color infrared photographs.

Note that the USGS records show that the orthophotoquads from which the data were digitized are in the Transverse Mercator projection. The printed map grid on both Howland and Edinburg maps is in the Universal Transverse Mercator projection. So, although the Edinburg map states that base map and control are from a Polyconic projection, (the Howland does not mention projection) the original base maps were assumed to be in the Transverse Mercator.

Information about the FED project and other datasets can be found at the FED Home Page: "https://forest.gsfc.nasa.gov/".