AndreaBozzo/ceres-open-data-index huggingface dataset:
DCLDE 2027: Killer whale (Orcinus orca) ecotype and other species annotations for the Detection Classification Localization and Density Estimate (DCLDE) conference in 2027

Killer whales (Orcinus orca) exhibit significant ecological and genetic diversity, with three primary sympatric ecotypes in the Northeast Pacific: Resident, Biggâs (Transient), and Offshore. Each ecotype is adapted to distinct ecological niches, with unique foraging strategies, social structures, and vocal behaviors. These differences underscore the challenges in monitoring and conserving each group, as they coexist within overlapping geographic ranges yet do not intermix. This dataset, compiled from diverse sources, provides a comprehensive resource for the detection and classification of killer whale vocalizations. The >225,000 call-level annotations collected from 23 locations, and a cleaned annotation csv that collates annotations across the different protocols. Recordings spanning eleven years from various geographical locations within the Northeast Pacific Ocean, collected using multiple hydrophone systems. It addresses the challenge of differentiating killer whale calls from other marine species and environmental noise and includes specific instances of confounding signals to enhance model robustness. Detailed annotations capture a broad spectrum of vocalizations and associated metadata, facilitating the development of advanced machine learning models for ecological monitoring. This curated dataset aims to improve the accuracy of killer whale detection algorithms, support conservation efforts, and advance our understanding of killer whale acoustic communication across different ecotypes. Note: The year in this dataset's name was changed from 2026 to 2027 due to the workshop's postponement

Tags: acoustic sounders, animals/vertebrates, aquatic ecosystems, aquatic sciences, biological classification, biosphere, cetaceans, doc/noaa/nesdis/ncei, earth science, eastern pacific ocean, ecosystems, fisheries, fixed observation stations, hydrophones, mammals, marine ecosystems, marine environment monitoring, national centers for environmental information, nesdis, noaa, ocean, ocean acoustics, oceans, pacific ocean, passive acoustic recorder, recorders/loggers, u.s. department of commerce
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
DCLDE 2027 Acoustic Detections and Aerial Surveys of North Atlantic Right Whales in Cape Cod Bay, MA

This dataset is composed of automated detections of North Atlantic right whale upcalls from an acoustic survey conducted in Cape Cod Bay (CCB) from February 17th to June 12th, 2019. Additionally, over the course of the acoustic survey, the Center for Coastal Studies performed 21 aerial surveys over CCB, in which all observed right whales were photographed and individually identified. As the aerial surveys provided a conservative measure of right whale abundance in CCB, this dataset enables the evaluation of acoustic abundance estimates. Aerial survey data was collected under NOAA federal permit #19315-01. For more detail on the acoustic and aerial survey protocols, please reference the attached manuscript [Garcia & Tolkova et al, 2025].

Tags: acoustic sounders, ambient noise, animals/vertebrates, aquatic ecosystems, aquatic sciences, biological classification, biosphere, cetaceans, doc/noaa/nesdis/ncei, earth science, ecosystems, fish, fisheries, fixed observation stations, hydrophones, mammals, marine ecosystems, marine environment monitoring, national centers for environmental information, nesdis, noaa, ocean acoustics, oceans, passive acoustic recorder, recorders/loggers, u.s. department of commerce
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
SanctSound_SB03_04_HMD part of SanctSound Hybrid Millidecade Spectra

To understand natural and anthropogenic sound in the ocean, and to compare underwater soundscapes globally, standard methods of analysis must be applied to passive acoustic monitoring (PAM) data. Methods that balance constrained volume and adequate resolution of acoustic spectra have recently been published (Martin et al., 2021a,b). This record is part of a collection of results from this standardized analysis of PAM data, specifically calculation of hybrid millidecade (HMD) sound pressure levels derived from calibrated passive acoustic data from a long-term monitoring effort in the U.S. national marine sanctuary system. Daily HMD at 1 minute resolution were created using PyPAM software v1.6.3. These data were recorded at SB03 between June 1, 2019 and August 2, 2019.

Tags: acoustic sounders, ambient noise, animals/vertebrates, aquatic ecosystems, aquatic sciences, biological classification, biosphere, cetaceans, doc/noaa/nesdis/ncei, earth science, ecosystems, fish, fisheries, fixed observation stations, hydrophones, mammals, marine ecosystems, marine environment monitoring, national centers for environmental information, nesdis, noaa, ocean acoustics, oceans, passive acoustic recorder, recorders/loggers, u.s. department of commerce
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
ONMS_FK06_20250513 part of ONMS Sound Raw Passive Acoustic Data

The U.S. National Oceanic and Atmospheric Administration's Office of National Marine Sanctuaries (ONMS) works with scientific partners to study underwater sound within the U.S. national marine sanctuary system. This system-wide monitoring program provides standardized information to support ONMS's tracking of sanctuary conditions, regulatory compliance evaluations, and management activities. More information is available at https://sanctuaries.noaa.gov/science/monitoring/sound/

Tags: acoustic sounders, ambient noise, animals/vertebrates, aquatic ecosystems, aquatic sciences, biological classification, biosphere, cetaceans, doc/noaa/nesdis/ncei, earth science, ecosystems, fish, fisheries, fixed observation stations, hydrophones, mammals, marine ecosystems, marine environment monitoring, national centers for environmental information, nesdis, noaa, ocean acoustics, oceans, passive acoustic recorder, recorders/loggers, u.s. department of commerce
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
ONMS_MB05_20240718_20241107_HMD part of ONMS Sound Hybrid Millidecade Spectra

Daily data products (netCDF and plots) of hybrid millidecade spectra from site MB05 in MBNMS

Tags: acoustic sounders, ambient noise, animals/vertebrates, aquatic ecosystems, aquatic sciences, biological classification, biosphere, cetaceans, doc/noaa/nesdis/ncei, earth science, ecosystems, fish, fisheries, fixed observation stations, hydrophones, mammals, marine ecosystems, marine environment monitoring, national centers for environmental information, nesdis, noaa, ocean acoustics, oceans, passive acoustic recorder, recorders/loggers, u.s. department of commerce
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
W00711: NOS Hydrographic Survey , External Source Data 2024, 2024-03-30

The National Oceanic and Atmospheric Administration (NOAA) has the statutory mandate to collect hydrographic data in support of nautical chart compilation for safe navigation and to provide background data for engineers, scientific, and other commercial and industrial activities. Hydrographic survey data primarily consist of water depths, but may also include features (e.g. rocks, wrecks), navigation aids, shoreline identification, and bottom type information.
							NOAA is responsible for archiving and distributing the source data as described in this metadata record.

Tags: acoustic sounders, bathymetry, bathymetry/seafloor topography, california, continent, doc/noaa/nesdis/ncei, doc/noaa/nesdis/ngdc, earth remote sensing instruments, earth science, global positioning system/inertial measurement unit, gps, gps receivers, gps/imu, hydrographic surveys for selected locations within the united states (hydro_bathy_2006), in situ ocean-based platforms, in situ/laboratory instruments, marine sediments, mbes, msbs, multibeam mapping system, multibeam swath bathymetry system, national centers for environmental information, national geophysical data center, nesdis, noaa, north america, ocean, oceans, outer harbor, passive remote sensing, port of long beach, positioning/navigation, profilers/sounders, seafloor topography, sediment composition, ships, sonar, sound navigation and ranging, u.s. department of commerce, united states of america, water depth
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
BLM ID Land Use Planning

This polygon feature class houses geometry and attribution for Idaho BLM Anticipated, In-Progress, Existing, and Historic Land Use Planning Areas for only current land use plans.

Tags: area, authorization, blm, boundaries, bureau-of-land-management, geographic-information-system, geoscientificinformation, geospatial, gis, idaho, land, land-use, land-use-planning, land-use-planning-area, lands, location, management, planning, planning-area, planningcadastre, united-states, western-states
Organization: Department of the Interior
Racial Equity Dashboard

<p>There is no single, simple way to measure racial equity. Instead, researchers and governments pull from a range of different data sources to identify ways in which people might experience racial equity gaps – using ‘indicators’.</p>

<p>With this knowledge, the Mayor's Office of Racial Equity (ORE) and the Office of the Chief Technology Officer (OCTO) developed the District’s first Racial Equity Dashboard. The dashboard serves as a key supportive action in the District’s goal of eliminating racial and ethnic inequities, as articulated in the recently launched <a href='https://ore.dc.gov/actionplan' rel='nofollow ugc'>Districtwide Racial Equity Action Plan (REAP)</a>, primarily <b>Goal 2.1: “Identify and measure long-standing racial equity indicators in partnership with other agencies, community-based organizations (CBOs), and District residents.”</b></p>

<p>The Dashboard is a comprehensive, multi-page, online platform providing timely, relevant, and accessible data on <a href='#' rel='nofollow ugc'><b>42 racial equity indicators across 7 dimensions of life</b></a> in the District. This tool will allow the public and District government staff to learn more about racial equity in the District and track our progress towards eliminating racial and ethnic equity gaps and improving outcomes for all District residents.</p>

<p>To keep the Dashboard meaningful and relevant, ORE cannot include every known, valid indicator of racial equity – in effect, those included in this Dashboard are subject to change based on ongoing stakeholder input and continued data availability.</p>

Tags: dc, district-of-columbi, hub-site, racial-equity, washington-dc
Organization: District of Columbia
Impervious Surface 2021

<div style='text-align:Left;'><p><span>The dataset contains basemap features that are typically classified as impervious surface, captured in 2021. Some examples of Impervious Surfaces include: Airport Taxiways, Helipads, Outdoor Building Stairs, Buildings, Sidewalks, Roads, Alleys, Driveways, and Swimming Pools.</span></p></div>

Tags: district-of-columbia, impervious-surface, octo, stormwater, washington-dc, water
Organization: District of Columbia
Impervious Surface 2025

<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The dataset contains basemap features that are typically classified as impervious surface, captured in 2025.Some examples of Impervious Surfaces include: Airport Taxiways, Helipads, Buildings, Sidewalks, Roads, Alleys and Swimming Pools.</SPAN></P></DIV></DIV></DIV>

Tags: district-of-columbia, impervious-surface, octo, stormwater, washington-dc, water
Organization: District of Columbia
Floodplains Outline from 2020

<div style='text-align:Left;'><div><div><p><span>The Digital Flood Insurance Rate Map (DFIRM) Database depicts flood risk information and supporting data used to develop the risk data. The primary risk classifications used are the 1-percent-annual-chance flood event, the 0.2-percent-annual-chance flood event, and areas of minimal flood risk. The DFIRM Database is derived from Flood Insurance Studies (FISs), previously published Flood Insurance Rate Maps (FIRMs), flood hazard analyses performed in support of the FISs and FIRMs, and new mapping data, where available. The FISs and FIRMs are published by the Federal Emergency Management Agency (FEMA). The file is georeferenced to earth's surface using the UTM projection and coordinate system. The specifications for the horizontal control of DFIRM data files are consistent with those required for mapping at a scale of 1:12000. Insurance applications include enforcement of the mandatory purchase requirement of the Flood Disaster Protection Act, which ... requires the purchase of flood insurance by property owners who are being assisted by Federal programs or by Federally supervised, regulated or insured agencies or institutions in the acquisition or improvement of land facilities located or to be located in identified areas having special flood hazards, Section 2 (b) (4) of the Flood Disaster Protection Act of 1973. In addition to the identification of Special Flood Hazard Areas (SFHAs), the risk zones shown on the FIRMs are the basis for the establishment of premium rates for flood coverage offered through the NFIP. The DFIRM Database presents the flood risk information depicted on the FIRM in a digital format suitable for use in electronic mapping applications. The DFIRM database is a subset of the Digital FIS database that serves to archive the information collected during the FIS.</span></p></div></div></div>

Tags: dc, district-of-columbia, doee, environment-floodplain, fema, firm, insurance, washington-dc, water
Organization: District of Columbia
ONMS_MB05_20230314_20230714_HMD part of ONMS Sound Hybrid Millidecade Spectra

Daily data products (netCDF and plots) of hybrid millidecade spectra from site MB05 in MBNMS

Tags: acoustic sounders, ambient noise, animals/vertebrates, aquatic ecosystems, aquatic sciences, biological classification, biosphere, cetaceans, doc/noaa/nesdis/ncei, earth science, ecosystems, fish, fisheries, fixed observation stations, hydrophones, mammals, marine ecosystems, marine environment monitoring, national centers for environmental information, nesdis, noaa, ocean acoustics, oceans, passive acoustic recorder, recorders/loggers, u.s. department of commerce
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Floodplains from 2020

<div style='text-align:Left;'><p><span>Insurance applications include enforcement of the mandatory purchase requirement of the Flood Disaster Protection Act, which requires the purchase of flood insurance by property owners who are being assisted by Federal programs or by Federally supervised, regulated or insured agencies or institutions in the acquisition or improvement of land facilities located or to be located in identified areas having special flood hazards, Section 2 (b) (4) of the Flood Disaster Protection Act of 1973. In addition to the identification of Special Flood Hazard Areas (SFHAs), the risk zones shown on the FIRMs are the basis for the establishment of premium rates for flood coverage offered through the NFIP. The DFIRM Database presents the flood risk information depicted on the FIRM in a digital format suitable for use in electronic mapping applications. The DFIRM database is a subset of the Digital FIS database that serves to archive the information collected during the FIS. For more information, visit </span><a target='_blank' href='https://msc.fema.gov/portal/home' rel='nofollow ugc noopener noreferrer'><span><u>https://msc.fema.gov/portal/home</u></span></a><span>.</span></p></div>

Tags: dc, district-of-columbia, doee, fema, firm, floodplain, insurance, washington-dc, water
Organization: District of Columbia
DC COVID-19 Hospital and Ventilators

<div style='text-align:Left;'><div><div><p><span>On March 2, 2022 DC Health announced the District’s new COVID-19 Community Level key metrics and reporting. COVID-19 cases are now reported on a </span><a href='https://opendata.dc.gov:443/datasets/dc-covid-19-weekly-cases/about' style='text-decoration:underline;' rel='nofollow ugc'><span>weekly basis</span></a><span>. The data in this table includes overall COVID-19 statistics for the District of Columbia hospitals. The number of hospital beds and ventilators available. Due to rapidly changing nature of COVID-19, data for March 2020 is limited.</span></p><p><span style='font-weight:bold;'>General Guidelines for Interpreting Disease Surveillance </span></p><p><span>Data during a disease outbreak, the health department will collect, process, and analyze large amounts of information to understand and respond to the health impacts of the disease and its transmission in the community. The sources of disease surveillance information include contact tracing, medical record review, and laboratory information, and are considered protected health information. When interpreting the results of these analyses, it is important to keep in mind that the disease surveillance system may not capture the full picture of the outbreak, and that previously reported data may change over time as it undergoes data quality review or as additional information is added. These analyses, especially within populations with small samples, may be subject to large amounts of variation from day to day. Despite these limitations, data from disease surveillance is a valuable source of information to understand how to stop the spread of COVID19.</span></p></div></div></div>

Tags: coronavirus, covid-19, dc, dchealth, district-of-columbia, health, hospital, overall-inventory, washington-dc
Organization: District of Columbia
Interagency Data Team Presentation March 14, 2025

<div style='text-align:Left;'><p><span>Presentation slides from the Interagency Data Team meeting. The Interagency Data Team is a community of data analysts, or agency liaisons, who convene regularly with representation from DC agencies of all persuasions. Participants engage in discussions regarding the team’s core mission and priorities for a better kind of data culture – collection, application, sharing, classification and governance to name a few. The team is coordinated by the Office of the Chief Technology Officer (OCTO), lead by the Chief Data Officer (CDO), and directly supports the District of Columbia's Data Policy. Topics for this meeting:</span></p><ul><li>Chief Data Officer's Annual Report for 2025</li><li>Enterprise Dataset Inventory for 2025</li><li>Getting Started with Databricks</li><li>Data Skills Survey Results</li></ul><br /></div>

Tags: idt, idtpresentation
Organization: District of Columbia
Fire Hydrants 1999

<DIV STYLE="text-align:Left;"><DIV><P><SPAN>Fire Hydrants captured in 1999. Contract NCPC 93-02. This document describes the planimetric map production for the 350 tiles located in Washington DC and the surrounding states of MD and VA.</SPAN></P></DIV></DIV>

Tags: aug2018, district-of-columbia, geographic-information-system, planimetrichistoric, planimetrics, pmetric99
Organization: District of Columbia
Building Footprints 2005

<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Buildings. The dataset contains polygons representing planimetric buildings, created as part of the DC Geographic Information System (DC GIS) for the D.C. Office of the Chief Technology Officer (OCTO). These features were originally captured in 1999 and updated in 2005. The following planimetric layers were updated: - Building Polygons (BldgPly) - Bridge and Tunnel Polygons (BrgTunPly) - Metro Entrance Points (MetroEntPt) - Obscured Area Polygons (ObsAreaPly) - Railroad Lines (RailRdLn) - Road, Parking, and Driveway Polygons (RoadPly) - Sidewalk Polygons (SidewalkPly) - Under Construction Areas (UnderConstPly) - Wooded Areas (WoodPly) The following planimetric layers are new: - Horizontal and Vertical Control Points (GeoControlPt) - Hydrography Center Lines (HydroCenterLineLn).</SPAN></P></DIV></DIV></DIV>

Tags: building, building-footprint, buildingfootprint, buildings, district-of-columbia, planimetric, planimetrichistoric, planningcadastre, pmetric05, washington-dc
Organization: District of Columbia
Bridge and Tunnel Entrances 2013

<div style='text-align:Left;'><div><div><p><span>Bridges and Tunnel Entrances. The dataset contains polygons representing planimetric Roads, created as part of the DC Geographic Information System (DC GIS) for the D.C. Office of the Chief Technology Officer (OCTO). These features were originally captured in 1999 and updated in 2005, 2008, 2010, and 2013. The following planimetric layers were updated: </span></p><p><span>- Building Polygons (BldgPly)</span></p><p><span>- Bridge and Tunnel Polygons (BrgTunPly)</span></p><p><span>- Grate (GratePly)</span></p><p><span>- Horizontal and Vertical Control Points (GeoControlPt) </span></p><p><span>- Obscured Area Polygons (ObsAreaPly)</span></p><p><span>- Railroad Lines (RailRdLn) </span></p><p><span>- Road, Parking, and Driveway Polygons (RoadPly)</span></p><p><span>- Sidewalk Polygons (SidewalkPly)</span></p><p><span>- Stairs (StairPly)</span></p><p><span>- Swimming Pools (SwmPoolPly)</span></p><p><span>- Wooded Areas (WoodPly) </span></p><p><span>METADATA CONTENT IS IN PROCESS OF VALIDATION AND SUBJECT TO CHANGE.</span></p></div></div></div>

Tags: bridges, district-of-columbia, planimetrichistoric, pmetric13, roads, tunnels, washington-dc
Organization: District of Columbia
Overlay Zones 1958

<div style='text-align:Left;'><div><div><p><span>Overlay Districts are a zoning designation that modifies the basic underlying designation in some specific manner; this is what the Overlay polygons in the Zoning map represent. This layer contains complete theoretical address ranges. Overlay zoning modifies the standards of the base zoning within a defined geographic area. This retired dataset represents the boundaries of the overlay areas under the Zoning Regulations of 1958.</span></p></div></div></div>

Tags: development, district-of-columbia, landuse, planning, tdr, transfer-of-development-rights, washington-dc, zoning
Organization: District of Columbia
Vacant and Blighted Building Addresses

<div style="text-align:Left;"><div><div><p><span>This layer is a subset of ITSPE and and UBIDs representing vacant and blighted property building addresses which are directly correlated with Vacant and Blighted Property Building Footprints. The tax assessment roll public extract (ITSPE) is used for assessment and property analysis, to send property tax bills and notices, and stores comprehensive tax information such as ownership, mailing addresses, non-contiguous Air Rights lots (Multifamily or Development), Air Rights lots, possessory interest lots, record lots, tax lots, parcels, condominiums, and federally owned lands such as reservations and appropriations. The linkage from the Vector Property layers to this database is SSL (Square, Suffix, and Lot). The UBID data was originally created by spatially joining the 2019 building footprints published in DC Open Data with the Common Ownership Lots. The UBIDs were coded using US DOE’s Implementation code. Search for UBID and ITSPE in Open Data DC for individual documentation.</span></p></div></div></div>

Tags: blighted, district-of-columbia, itspe, land, ocfo, property, public-extract, tax-assessment, vacant, washington-dc
Organization: District of Columbia
Accessible Parking Zones

<div style="text-align:Left;"><div><div><p><span>Accessible parking zones in the district indicated by signage. These include accessible paid parking zones, generic accessible parking zones, and accessible visitor parking zones.</span></p></div></div></div>

Tags: accessible-parking, ada, curbside, dc, ddot, district-of-columbia, parking, parking-zones, public-service, transportation, washington-dc
Organization: District of Columbia