AndreaBozzo/ceres-open-data-index huggingface dataset:
CBP Water Quality Monitoring Subset (1984-2018), CB2 1

This product was developed as part of the project supported by the grant from and the National Oceanic and Atmospheric Administrationâs Ocean Acidification Program under award  NA18OAR0170430 to the Virginia Institute of Marine Science.  The data product consists of water quality data for tidal 98 stations for 1984Â­Â­â2018. The source data used to generate this product were downloaded from the Chesapeake Bay Programâs (CBP) data hub. Out of the total of 255 monitoring stations in the Tidal Monitoring Program, we selected 98 with the long monitoring record (30 years or longer). The following variables were downloaded from the data hub at the native temporal and vertical resolution (between one and four cruises per month and approximately 10 depth levels sampled between 0 and 37 m) for 1984â2018: water temperature (T), salinity (S), pH, total alkalinity (TA), dissolved oxygen (DO) , and chlorophyll (Chl).  All pH data prior to 1998 were removed because of the data quality concerns (Herrmann et al., 2020). Briefly, we found a dramatic difference in long-term trends between stations measured by institutions in the state of Virginia and stations measured by the state of Maryland, particularly from late spring to early fall. The boundary between the station groups runs eastâwest within the mesohaline portion of the bay, where the Potomac River estuary intersects the mainstem bay.  The boundary separates strong negative linear trends to the south (Virginia stations) from neutral and weakly positive linear trends to the north (Maryland stations).
For all variables, data entries marked with CBPâs âProblemâ and âQualifierâ flags were removed.  Additionally, all variables were scanned for extreme outliers: for each variable, data from all stations, depths, and times were combined into a single composite sample for which the 75th and 25th percentiles (i.e., the upper and lower quantiles) and the interquartile range (the difference between the upper and lower quantiles) were calculated.  Extreme outliers were defined as the values falling outside of a certain number (censoring criterion) of interquartile ranges from the upper and lower quantiles.

Tags: 'oceans, alkalinity''oceans, chlorophyll''oceans, depth, latitude, longitude, mass_concentration_of_chlorophyll_in_sea_water, mass_concentration_of_oxygen_in_sea_water, noaa oap: na18oar0170430, nsf oceâ1537013 oceâ1536996, ocean chemistry, ocean temperature, oxygen', pi: marjorie friedrichs (marjy@vims.edu), platform_name, salinity''oceans, salinity/density, sea_water_ph_reported_on_total_scale, sea_water_practical_salinity, sea_water_temperature, time, water temperature''oceans
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
CBP Water Quality Monitoring Subset (1984-2018), EE3 4

This product was developed as part of the project supported by the grant from and the National Oceanic and Atmospheric Administrationâs Ocean Acidification Program under award  NA18OAR0170430 to the Virginia Institute of Marine Science.  The data product consists of water quality data for tidal 98 stations for 1984Â­Â­â2018. The source data used to generate this product were downloaded from the Chesapeake Bay Programâs (CBP) data hub. Out of the total of 255 monitoring stations in the Tidal Monitoring Program, we selected 98 with the long monitoring record (30 years or longer). The following variables were downloaded from the data hub at the native temporal and vertical resolution (between one and four cruises per month and approximately 10 depth levels sampled between 0 and 37 m) for 1984â2018: water temperature (T), salinity (S), pH, total alkalinity (TA), dissolved oxygen (DO) , and chlorophyll (Chl).  All pH data prior to 1998 were removed because of the data quality concerns (Herrmann et al., 2020). Briefly, we found a dramatic difference in long-term trends between stations measured by institutions in the state of Virginia and stations measured by the state of Maryland, particularly from late spring to early fall. The boundary between the station groups runs eastâwest within the mesohaline portion of the bay, where the Potomac River estuary intersects the mainstem bay.  The boundary separates strong negative linear trends to the south (Virginia stations) from neutral and weakly positive linear trends to the north (Maryland stations).
For all variables, data entries marked with CBPâs âProblemâ and âQualifierâ flags were removed.  Additionally, all variables were scanned for extreme outliers: for each variable, data from all stations, depths, and times were combined into a single composite sample for which the 75th and 25th percentiles (i.e., the upper and lower quantiles) and the interquartile range (the difference between the upper and lower quantiles) were calculated.  Extreme outliers were defined as the values falling outside of a certain number (censoring criterion) of interquartile ranges from the upper and lower quantiles.

Tags: 'oceans, alkalinity''oceans, chlorophyll''oceans, depth, latitude, longitude, mass_concentration_of_chlorophyll_in_sea_water, mass_concentration_of_oxygen_in_sea_water, noaa oap: na18oar0170430, nsf oceâ1537013 oceâ1536996, ocean chemistry, ocean temperature, oxygen', pi: marjorie friedrichs (marjy@vims.edu), platform_name, salinity''oceans, salinity/density, sea_water_ph_reported_on_total_scale, sea_water_practical_salinity, sea_water_temperature, time, water temperature''oceans
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
311 Service Requests from 2010 to 2019

311 responds to thousands of inquiries, comments and requests from customers every single day. This dataset represents only service requests that can be directed to specific agencies.  

This dataset is updated daily and expected values for many fields will change over time.  The lists of expected values associated with each column are not exhaustive.

Each row of data contains information about the service request, including complaint type, responding agency, and geographic location.  However the data does not reveal any personally identifying information about the customer who made the request.

For data from 2020-present see: https://data.cityofnewyork.us/Social-Services/311-Service-Requests-from-2020-to-Present/erm2-nwe9/about_data

Tags: 311, 311-service-requests
Organization: City of New York
Federal Impact Reporting: Incidents by Problem Experienced

This dataset summarizes the impact of federal policy and funding changes on nonprofits, municipalities, and businesses in Connecticut, as reported in the Connecticut Office of Policy and Management's Federal Impact Reporting Tool: https://www.appsvcs.opm.ct.gov/FedImpact

This dataset shows the count of reported incidents grouped by problem experienced and is based on the main Federal Impact Reporting dataset here: https://data.ct.gov/Government/Federal-Impact-Reporting/cyas-fb55/about_data

Impacts reported include funding reductions, pauses and delays in accessing funds, as well as employment reductions, and impacts from tariffs.

Duplicate responses to the survey have been removed from this dataset.

More information on the Federal Impact Reporting Tool can be found here: https://portal.ct.gov/governor/news/press-releases/2025/04-2025/governor-lamont-launches-reporting-tool-for-entities-impacted-by-recent-federal-actions

Tags: federal-impact, federal-impact-reporting
Organization: State of Connecticut
Capital Projects Dashboard - Citywide Schedule History and Variance

This is the history all agency reported forecasts/actual project completion dates. Each row is the snapshot of data taken on each reporting period. The 'completion date type' column shows if the 'completion date' is either a forecast or actual date. Over time, a project would have one or more forecasted completion dates before it is actually completed. The 'variance' is the day difference between 'completion date' of each row and its prior reporting period. This dataset is part of the <a href="https://data.cityofnewyork.us/browse?Data-Collection_Data-Collection=Capital+Projects+Dashboard">Capital Projects Dashboard</a>.

Tags: budget, capital-projects, fms, spend
Organization: City of New York
DOHMH School Cafeteria Inspections (Historical)

This is an official DOHMH dataset. Creating derivative/community datasets based on this dataset is allowed so long as it is done in a manner that is not misleading and does not imply endorsement of such datasets by DOHMH. 
The dataset contains older inspection data from 2018 and 2019 for cafeterias permitted in public, private, and parochial schools in NYC. Data for cafeterias that have ceased operations and any violations cited during the inspection that were dismissed during adjudication are excluded from this dataset.

Tags: cafeteria, inspections, parochial, private, public, school, violations
Organization: City of New York
NYC Greenhouse Gas Emissions Municipal Inventory

The Inventory of New York City Greenhouse Gas Emissions is an annual report that measures where emissions come from and tracks the City’s progress in reducing them. You can find the inventories on the MOCEJ website: https://www.nyc.gov/content/climate/pages/initiatives/nyc-greenhouse-gas-inventories

For the NYC Greenhouse Gas Emissions Inventory data, please refer to this link: https://data.cityofnewyork.us/Environment/NYC-Greenhouse-Gas-Emissions-Inventory/wq7q-htne

Tags: electricity, fuel, gas, greenhouse, greenhouse-gas-emissions
Organization: City of New York
DCF Temporary Aid to Needy Families (TANF) Claimed Funds By Program, Provider and Calendar Quarter

Providers of services reimbursed (partially or fully) by the federal government must periodically determine whether the amounts of the reimbursement for said services exceed a certain threshold, above which the provider must perform (or hire someone to perform), an audit of their records.  The purpose of this dataset is to give Providers of DCF contracted services the amounts for which the state of CT has claimed federal reimbursement for under TANF so that they can determine whether or not they will require an audit.  Each row in the dataset represents the amount that CT has claimed TANF reimbursement for a specific provider, program and reporting quarter

Tags: dcf, department-of-children-and-families, sub-recipient, tanf, temporary-aid-to-needy-families
Organization: State of Connecticut
Capital Projects Dashboard - Citywide Budget and Schedule

All major capital infrastructure projects with a committed budget. Financial information and agency schedule details for each project are joined via FMS ID. Only projects in the design phase or later have project schedules displayed. This dataset is part of the <a href="https://data.cityofnewyork.us/browse?Data-Collection_Data-Collection=Capital+Projects+Dashboard">Capital Projects Dashboard</a>.

Note: Each row is uniquely identified by its Financial Management Service (FMS) ID. FMS ID is the unique ID that OMB uses for the FMS (Financial Information System). This ID can be universally joined with any OMB dataset that has the same field. The Capital Projects Dashboard is the result of joining OMB’s fiscal data with the agency’s schedule data. FMS IDs and agency projects don't always have a one-to-one relationship (i.e., one project schedule may correlate to multiple FMS IDs, and one FMS may correct to multiple projects with different schedules).

Tags: budget, capital-projects, fms, spend
Organization: City of New York
Federal Impact Reporting: Incidents by State Agency

This dataset summarizes the impact of federal policy and funding changes on nonprofits, municipalities, and businesses in Connecticut, as reported in the Connecticut Office of Policy and Management's Federal Impact Reporting Tool: https://www.appsvcs.opm.ct.gov/FedImpact

This dataset shows the count of reported incidents grouped by state agency and is based on the main Federal Impact Reporting dataset here: https://data.ct.gov/Government/Federal-Impact-Reporting/cyas-fb55/about_data

Impacts reported include funding reductions, pauses and delays in accessing funds, as well as employment reductions, and impacts from tariffs.

Duplicate responses to the survey have been removed from this dataset.

More information on the Federal Impact Reporting Tool can be found here: https://portal.ct.gov/governor/news/press-releases/2025/04-2025/governor-lamont-launches-reporting-tool-for-entities-impacted-by-recent-federal-actions

Tags: federal-impact, federal-impact-reporting
Organization: State of Connecticut
PCHEES Term Enrollment Reports 1 and 20 covering multiple institutions

The PCHEES web application can be used to create term enrollment reports by various criteria. Table 1 is "Headcount of Students by Course Provider" and Table 20 is "Headcount of Students New Entering by Class Standing and Entering Source".

At runtime, the reports require specification of a single institution, academic year, and term. If multiple institutions' data are wanted, the PCHEES application requires running the report once for each institution and interactively/manually collarting the results.

This file includes results covering several institutions over multiple years, obviating the need for running the report several times and collating results.

Tags: higher-education, pchees, student-enrollment
Organization: State of Washington
TIGER/Line Shapefile, Current, County, Danville city, VA, All Lines

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) System (MTS). The MTS 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.
			
Edges refer to the linear topological primitives that make up the MTS. The All Lines shapefile contains linear features such as roads, railroads, and hydrography. Additional attribute data associated with the linear features found in the All Lines shapefile are available in relationship (.dbf) files that users must download separately. The All Lines shapefile contains the geometry and attributes of each topological primitive edge. Each edge has a unique TIGER/Line identifier (TLID) value.

Tags: 51590, address range, county or equivalent entity, danville, feature, hydrography, linear, railways, road feature, roads, street centerline
Organization: U.S. Census Bureau, Department of Commerce
TIGER/Line Shapefile, Current, County, Madison County, MO, All Roads

This resource is a member of a series. 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) System (MTS). The MTS 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.
			
The All Roads shapefile includes all features within the MTS Super Class "Road/Path Features" distinguished where the MAF/TIGER Feature Classification Code (MTFCC) for the feature in the MTS that begins with "S". This includes all primary, secondary, local neighborhood, and rural roads, city streets, vehicular trails (4wd), ramps, service drives, alleys, parking lot roads, private roads for service vehicles (logging, oil fields, ranches, etc.), bike paths or trails, bridle/horse paths, walkways/pedestrian trails, and stairways.

Tags: 29123, address range, county or equivalent entity, linear feature, madison, road feature, roads, street centerline
Organization: U.S. Census Bureau, Department of Commerce
TIGER/Line Shapefile, Current, County, Miami County, KS, Topological Faces (Polygons With All Geocodes)

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) System (MTS). The MTS 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.
			
Face refers to the areal (polygon) topological primitives that make up the MTS. A face is bounded by one or more edges; its boundary includes only the edges that separate it from other faces, not any interior edges contained within the area of the face. The Topological Faces shapefile contains the attributes of each topological primitive face. Each face has a unique topological face identifier (TFID) value. Each face in the shapefile includes the key geographic area codes for all geographic areas for which the Census Bureau tabulates data for both the 2020 Census and the annual estimates and surveys. The geometries of each of these geographic areas can then be built by dissolving the face geometries on the appropriate key geographic area codes in the Topological Faces shapefile.

Tags: 20121, 5-digit zip code tabulation area code, alaska native regional corporation fips code, american indian/alaska native/native hawaiian areas census code, block group, census tract number, congressional district code, consolidated city fips code, county fips code, county or equivalent entity, county subdivision fips code, elementary school district local education agency code, fips place code for all places, land/water flag, legislative session year, metropolitan statistical area/consolidated metropolitan statistical area fips code, miami, number, public use microdata area code, reservation or off-reservation trust land indicator, secondary school district local education agency code, state fips code, state legislative district lower chamber code, state legislative district upper chamber code, subminor civil division fips code in puerto rico, table, tabulation block number, topological faces, tribal subdivision code, unified school district local education agency code, urban area code, urban growth area code
Organization: U.S. Census Bureau, Department of Commerce
TIGER/Line Shapefile, Current, County, Perry County, MS, Feature Names Relationship File

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) System (MTS). The MTS 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.
			
The Feature Names Relationship File contains a record for each feature name and any attributes associated with it. Each feature name can be linked to the corresponding edges that make up that feature in the All Lines shapefile (edges.shp), where applicable to the corresponding address range or ranges in the Address Range Relationship File (addr.dbf), or to both files. Although this file includes feature names for all linear features, not just road features, the primary purpose of this relationship file is to identify all street names associated with each address range. An edge can have several feature names; an address range located on an edge can be associated with one or any combination of the available feature names (an address range can be linked to multiple feature names). The address range is identified by the address range identifier (ARID) attribute, which can be used to link to the Address Range Relationship File (addr.dbf). The linear feature is identified by the linear feature identifier (LINEARID) attribute, which can be used to relate the address range back to the name attributes of the feature in the Feature Names Relationship File or to the feature record in the Primary Roads, Primary and Secondary Roads, or All Roads shapefiles. The edge to which a feature name applies can be determined by linking the feature name record to the All Lines shapefile (edges.shp) using the permanent edge identifier (TLID) attribute. The address range identifier(s) (ARID) for a specific linear feature can be found by using the linear feature identifier (LINEARID) from the Feature Names Relationship File through the Address Range/Feature Name Relationship File (addrfn.dbf).

Tags: 28111, county fips code, county gnis code, county or equivalent entity, feature names, maf/tiger feature class code, name, permanent edge id, perry, prefix direction code, prefix qualifier code, prefix type code description, primary/alternate code, state fips code, state gnis code, suffix direction code, suffix qualifier code, suffix type code, table
Organization: U.S. Census Bureau, Department of Commerce
TIGER/Line Shapefile, Current, County, Nash County, NC, Topological Faces (Polygons With All Geocodes)

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) System (MTS). The MTS 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.
			
Face refers to the areal (polygon) topological primitives that make up the MTS. A face is bounded by one or more edges; its boundary includes only the edges that separate it from other faces, not any interior edges contained within the area of the face. The Topological Faces shapefile contains the attributes of each topological primitive face. Each face has a unique topological face identifier (TFID) value. Each face in the shapefile includes the key geographic area codes for all geographic areas for which the Census Bureau tabulates data for both the 2020 Census and the annual estimates and surveys. The geometries of each of these geographic areas can then be built by dissolving the face geometries on the appropriate key geographic area codes in the Topological Faces shapefile.

Tags: 37127, 5-digit zip code tabulation area code, alaska native regional corporation fips code, american indian/alaska native/native hawaiian areas census code, block group, census tract number, congressional district code, consolidated city fips code, county fips code, county or equivalent entity, county subdivision fips code, elementary school district local education agency code, fips place code for all places, land/water flag, legislative session year, metropolitan statistical area/consolidated metropolitan statistical area fips code, nash, number, public use microdata area code, reservation or off-reservation trust land indicator, secondary school district local education agency code, state fips code, state legislative district lower chamber code, state legislative district upper chamber code, subminor civil division fips code in puerto rico, table, tabulation block number, topological faces, tribal subdivision code, unified school district local education agency code, urban area code, urban growth area code
Organization: U.S. Census Bureau, Department of Commerce