AndreaBozzo/ceres-open-data-index huggingface dataset:
Delaware Influenza Like Illness Surveillance

Information on outpatient visits to health care providers for influenza-like illness (ILI) is collected through the U.S. Outpatient Influenza-like Illness Surveillance Network (ILINet). ILINet consists of outpatient healthcare providers in all 50 states, Puerto Rico, the District of Columbia and the U.S. Virgin Islands. For this system, ILI is defined as fever (temperature of 100°F [37.8°C] or greater) and a cough and/or a sore throat. The case definition no longer includes “without a known cause other than influenza”. Sites with electronic health records use an equivalent definition as determined by public health authorities. Since ILINet monitors visits for ILI and not laboratory-confirmed influenza, it will capture visits due to any respiratory pathogen that presents with ILI symptoms. The national percentage of patient visits to healthcare providers for ILI reported each week is calculated by combining state-specific data weighted by state population.
Delaware COVID-19 Wastewater Viral Activity Levels

This dataset and methodology are provided for public use by the Centers for Disease Control (CDC). Public health teams use this data to track trends and guide prevention efforts, such as sharing health tips, increasing testing, or offering more vaccination options. Wastewater monitoring helps communities detect rising infection rates early. People with certain illnesses shed tiny pieces of virus when they use the bathroom or wash up—even when they don’t feel sick. These fragments travel through the sewage system, where samples are collected and tested. The Wastewater Viral Activity Level (WVAL) shows how much virus is present in wastewater and ranges from very low to very high: • Up to 2: Very Low • Greater than 2 and up to 3.4: Low • Greater than 3.4 and up to 5.3: Moderate • Greater than 5.3 and up to 7.8: High • Greater than 7.8: Very High States and territories may have a higher density of sampling sites in certain geographic areas, so the median wastewater viral activity level may not represent the wastewater viral activity level for every community in the state or territory.
Child Care Licensing Compliance Review Information

The data shown is the result of a Compliance Review of a Licensed Child Care facility visit by the Office of Child Care Licensing (OCCL) Specialist(s). During the visit the Licensing Specialist(s) fill out a Compliance Review form, checking for compliance on items covered under Delaware's Delacare Regulations. Compliances and violations are noted on the form. The Licensing Specialist will write notes about items to be corrected and dates for corrections to be completed.
Blocks 2020

The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. Census Blocks are statistical areas bounded on all sides by visible features, such as streets, roads, streams, and railroad tracks, and/or by nonvisible boundaries such as city, town, township, and county limits, and short line-of-sight extensions of streets and roads. Census blocks are relatively small in area; for example, a block in a city bounded by streets. However, census blocks in remote areas are often large and irregular and may even be many square miles in area. A common misunderstanding is that data users think census blocks are used geographically to build all other census geographic areas, rather all other census geographic areas are updated and then used as the primary constraints, along with roads and water features, to delineate the tabulation blocks. As a result, all 2020 Census blocks nest within every other 2020 Census geographic area, so that Census Bureau statistical data can be tabulated at the block level and aggregated up to the appropriate geographic areas. Census blocks cover all territory in the United States, Puerto Rico, and the Island Areas (American Samoa, Guam, the Commonwealth of the Northern Mariana Islands, and the U.S. Virgin Islands). Blocks are the smallest geographic areas for which the Census Bureau publishes data from the decennial census. A block may consist of one or more faces.
Block Groups 2020

The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. Block Groups (BGs) are clusters of blocks within the same census tract. Each census tract contains at least one BG, and BGs are uniquely numbered within census tracts. BGs have a valid code range of 0 through 9. BGs have the same first digit of their 4-digit census block number from the same decennial census. For example, tabulation blocks numbered 3001, 3002, 3003,.., 3999 within census tract 1210.02 are also within BG 3 within that census tract. BGs coded 0 are intended to only include water area, no land area, and they are generally in territorial seas, coastal water, and Great Lakes water areas. Block groups generally contain between 600 and 3,000 people. A BG usually covers a contiguous area but never crosses county or census tract boundaries. They may, however, cross the boundaries of other geographic entities like county subdivisions, places, urban areas, voting districts, congressional districts, and American Indian / Alaska Native / Native Hawaiian areas. The BG boundaries in this release were delineated as part of the Census Bureau's Participant Statistical Areas Program (PSAP) for the 2020 Census.
Annual Appropriated Expense and Positions Budgets

This portal is part of our commitment to improving transparency by providing a guided view through the State of Delaware’s budgetary data. This site provides a transparent look at how we appropriate public funds. The charts, graphs, and tables below are all highly interactive and we invite you to explore. The multi-year dataset contains appropriated budgets for expense and positions effective July 1 through June 30 annually. This data reflects funding as enacted in the final operating budget acts by the Delaware General Assembly and signed by the Governor. Data provided in this portal differ from Section 1 of the Operating Budget Act, if the operating budget for that fiscal year was amended by a subsequent appropriation act (e.g. Grant-in-Aid Act). The expense budget data contains dollar amounts by fund type: General Funds, Appropriated Special Funds, and Transportation Trust Funds. Values are listed by six-digit department code, fund type, and appropriation description. Values are shown as thousands rounded to one decimal place (for example, $1,500 would show as $1.5). The position budget data contains full-time equivalent (FTE) counts by fund type: General Funds, Appropriated Special Funds, Non-appropriated Special Funds, and Transportation Trust Funds. Position values are listed by six-digit department code, fund type, and appropriation description.
Air Emissions Inventory

This is an annual emissions inventory of the following pollutants that large facilities in Delaware submit to the State: carbon monoxide, lead, ammonia, nitrogen oxides, coarse particulate matter, fine particulate matter, sulfur dioxide, and volatile organic compounds. Not every facility emits all these pollutants. For instance, a given facility may not use equipment that emits a specific pollutant. This can lead to blank cells within the dataset. Also, it should be noted that emissions values of 0.0001 or less are reported as 0.0001. Please see the "Notes" column of the dataset for facility-specific information.
2017 Land Use Land Cover

This digital geospatial dataset represents land use land cover polygons as defined by the Delaware Modified Anderson System derived from: A Land Use and Land Cover Classification System for Use with Remote Sensor Data, U. S. Geological Survey Professional Paper 964, 1976; edited by Delaware in 2007, and 2012. The LULC update was performed using ArcGIS software tools, coding menus, and interactive photo-interpretative mapping techniques. Three relevant fields are included in the dataset attribute table: * “LULC_CODE2017” – Delaware Modified Anderson System numeric code per 2017 polygons * “LULC_CATEGORY2017” – Delaware Modified Anderson System category description per 2017 polygons * “LULC_CATEGORY2017_CONDENSED” - Delaware Modified Anderson System category description per 2017 polygons with reduced number of selected categories for enhanced viewing and comprehension. * “NCC_RES_DENSITY2017” - Additional residential density classes applied specifically to New Castle County as follows: 1 = Very Low Density Residential 5 - 20 acre lots, based on parcel use categories 2 = Low Density Residential 5 - 0.5 acre lot 3 = Medium Density Residential 2 du/acre - 8 du/acre (0.5 - .125 acre lot) 4 = High Density Residential >8 du/acre (<.125 acre lot) * “LULC_CODE2012” – Delaware Modified Anderson System numeric code per 2012 polygons * “LULC_CATEGORY2012” – Delaware Modified Anderson System category description per 2012 polygons.
2012 Land Use Land Cover

The 2012 Land Use Land Cover (LULC) update was performed using computer interactive heads-up digitizing techniques and ArcGIS software. The baseline datasets were year 2012 digital CIR orthophotos and the State’s existing 2007 LULC data. The data was digitally subdivided into working production modules based on the 1:24,000 scale USGS topographic quadrangle system. The LULC update was performed per the modified Anderson, et al., LULC classification and 2 acre minimum mapping unit (140’ width) established for the State’s previous LULC Update projects. The work was performed by Aerial Information Systems, Inc. (AIS) of Redlands, California.AIS staff analysts compared the State’s existing 2007 LULC data to the 2012 project imagery. Every polygon was reviewed for change, accuracy of polygon boundaries, and adherence to the 2012 LULC classification and mapping criteria. Polygon boundaries and codes were modified as necessary through the addition of new lines and codes or the modification of existing arcs. In addition, large obvious errors in the 2007 data were retroactively (‘retro”) corrected. The “retro” mapping process helps to ensure a more accurate baseline dataset for change analysis studies. The 2012 LULC interpretations were incorporated directly into the baseline 2007 LULC coverage to create a final composite coverage containing LULC information for both eras. Each polygon in the composite coverage was assigned an item for 2012 and 2007. Where no LULC change had occurred, the LULC class for both item years remained the same. Where a LULC change did occur, new boundaries were added to the data set as needed, subdividing the existing 2007 polygon, and the polygons were attributed for the appropriate 2012 LULC type. This method ensured that the different layers seamlessly co-registered to each other, creating a sliver free coverage for use in change analysis studies.
2007 Land Use Land Cover

This metadata record describes the creation of a 2007 update of the 2002 Land Use and Land Cover data set for the State of Delaware. The land use update was based on aerial imagery collected in the summer of 2007. The imagery was collected with 4 bands: B, G, R, and NIR. The update was performed using statistical differencing techniques to identify changed areas. Areas of change were photointerpreted by an analyst. The work was performed by the Sanborn Map Company, Inc. in Ann Arbor, Michigan. The 2002 land use data were based on the 1997 land-use data of the State and 2002 false color infrared digital orthophotography at a scale of 1:2400.