AndreaBozzo/ceres-open-data-index huggingface dataset:
NOAA/WDS Paleoclimatology - Larson - Backbone State Park Update - QUSP - ITRDB IA035

This archived Paleoclimatology Study is available from the NOAA National Centers for Environmental Information (NCEI), under the World Data Service (WDS) for Paleoclimatology. The associated NCEI study type is Tree Ring. The data include parameters of tree ring with a geographic location of Iowa, United States Of America. The time period coverage is from 179 to -67 in calendar years before present (BP). See metadata information for parameter and study location details. Please cite this study when using the data.

Tags: backbone state park, biological records, climate indicators, continent, doc/noaa/nesdis/ncei, earth science, iowa, land records, latitude 42.62, longitude -91.57, material: null, national centers for environmental information, nesdis, noaa, north america, oak, paleoclimate, paleoclimate indicators, quercus spp. l., qusp, tree ring, tree rings, tree-ring, u.s. department of commerce, united states of america, what: age, what: total ring width, width
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
NOAA/WDS Paleoclimatology - Wager - Millcreek Alexander Basin - PSME - ITRDB UT571

This archived Paleoclimatology Study is available from the NOAA National Centers for Environmental Information (NCEI), under the World Data Service (WDS) for Paleoclimatology. The associated NCEI study type is Tree Ring. The data include parameters of tree ring with a geographic location of Utah, United States Of America. The time period coverage is from 96 to -48 in calendar years before present (BP). See metadata information for parameter and study location details. Please cite this study when using the data.

Tags: biological records, climate indicators, continent, doc/noaa/nesdis/ncei, douglas-fir, earth science, land records, latitude 40.693, longitude -111.673, material: null, millcreek alexander basin, national centers for environmental information, nesdis, noaa, north america, paleoclimate, paleoclimate indicators, pseudotsuga menziesii (mirb.) franco, psme, tree ring, tree rings, tree-ring, u.s. department of commerce, united states of america, utah, what: age, what: total ring width, width
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
H12522: NOS Hydrographic Survey , 2013-08-21

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: 6 nm south of red dog mine, acoustic sounders, alaska, bathymetry, bathymetry/seafloor topography, bering sea, 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, passive remote sensing, 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
H12830: NOS Hydrographic Survey , 2015-08-09

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: 2 miles north of nw corner light, acoustic sounders, ak, alaska, bathymetry, bathymetry/seafloor topography, 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, kotzebue sound, 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, passive remote sensing, 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
H12829: NOS Hydrographic Survey , 2015-08-12

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: 2 miles nw of espenberg, acoustic sounders, ak, alaska, bathymetry, bathymetry/seafloor topography, 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, kotzebue sound, 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, passive remote sensing, 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
H12521: NOS Hydrographic Survey , 2013-08-22

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, alaska, approaches of red dog mine, bathymetry, bathymetry/seafloor topography, beaufort sea, 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, passive remote sensing, 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
2017 Sidewalk Repair and Reconstruction Summary

A summary of all the concrete sidewalk repair and reconstruction projects that occurred during 2017. This includes work done in association with the City's Sidewalk Assistance Program, as well as general maintenance, repair and reconstruction to sidewalk segments, driveway entrances, curbs and ramps

This summary includes all projects that were completed both by City of Bloomington Street Department crews and those that were performed by personnel from Groomer Construction, which was contracted by the City of Bloomington to assist with sidewalk and ramp repair work in 2017.

Organization: City of Bloomington
2018 Street Signs Condition Assessment

The City of Bloomington contracted with a firm to conduct a citywide survey of street pavement conditions. As part of this effort, real-time conditions regarding the City of Bloomington's approximately 15,000 street signs were also collected during the late fall of 2017. This was done through field inspections utilizing the use of Light Detection and Ranging (LIDAR) technology. LIDAR is much more time efficient than visual data collection, allows for real-time data collection and provides more uniform and accurate reporting.

Organization: City of Bloomington
Community Survey: 2021 Open Participation Results

Responses from the 2021 open participation (non-probability) survey.

In the dataset, you will find the respondent level data in each row with the questions in each column. The numbers represent a scale option from the survey, such as 1=Excellent, 2=Good, 3=Fair, 4=Poor. The question stem, response option, and scale information for each field can be found in the var "variable labels" and "value labels" sheets.

VERY IMPORTANT NOTE: The open participation survey data were weighted, meaning that the demographic profile of respondents was compared to the demographic profile of adults in Bloomington from US Census data. Statistical adjustments were made to bring the respondent profile into balance with the population profile. This means that some records were given more "weight" and some records were given less weight. The weights that were applied are found in the field "wt". If you do not apply these weights, you will not obtain the same results as can be found in the report delivered to the Bloomington. The easiest way to replicate these results is likely to create pivot tables, and use the sum of the "wt" field rather than a count of responses.

Organization: City of Bloomington
2018 Sidewalk Repair and Reconstruction Projects

A summary of all the concrete sidewalk repair and reconstruction projects that occurred during 2018. This includes work done in association with the City's Sidewalk Assistance Program, as well as general maintenance, repair and reconstruction to sidewalk segments, driveway entrances, curbs and ramps

This summary includes all projects that were completed both by City of Bloomington Street Department crews and those that were performed by personnel from Groomer Construction, which was contracted by the City of Bloomington to assist with sidewalk and ramp repair work in 2018.

Organization: City of Bloomington
Cryptosporidium and Giardia

Cryptosporidium is a pathogen that may cause a short-term respiratory and/or gastrointestinal illness. Although highly resistant to chlorine treatment, direct filtration techniques are sufficient for cryptosporidium removal. Giardia is another pathogen that may result in a variety of unpleasant stomach and/or intestinal illnesses. Direct filtration techniques of a water treatment plant are effective in Giardia's removal as well. In the case of an outbreak of either pathogen, boil water advisories are issued and effectively eliminate their threat to human health. This intitial 2-year testing schedule was required as part of the Long Term 2 Enhanced Surface Water Treatment Rule (LT2), which became part of the Safe Drinking Water Act in 2007.

Organization: City of Bloomington
Community Survey: 2017 Survey Data (Opt-in Non-representative)

The City of Bloomington contracted with National Research Center, Inc. to conduct the 2017 Bloomington Community Survey. This was the first time a scientific citywide survey had been completed covering resident opinions on service delivery satisfaction by the City of Bloomington and quality of life issues. This is the opt-in companion to that scientific survey. The statistically valid and representative survey results are available at https://bloomington.data.socrata.com/dataset/Community-Survey-2017-Survey-Data/p8uv-cjhr

An additional 1,435 residents completed an opt-in survey online. The data in this collection is opt-in data and is provided in the interest of transparency. It is not recommended for analysis. The statistically valid and representative survey results are available at https://bloomington.data.socrata.com/stories/s/bsc2-z6t2

Organization: City of Bloomington
Community Survey: 2017 Survey Data

The City of Bloomington contracted with National Research Center, Inc. to conduct the 2017 Bloomington Community Survey. This was the first time a scientific citywide survey had been completed covering resident opinions on service delivery satisfaction by the City of Bloomington and quality of life issues. The survey captured the responses of 595 households from a representative sample of 3,000 residents of Bloomington who were randomly selected to complete the survey. An additional 1,435 residents completed an opt-in survey online.

Organization: City of Bloomington
Community Survey: 2021 Random Sample Results

A random sample of households were invited to participate in this survey.

In the dataset, you will find the respondent level data in each row with the questions in each column. The numbers represent a scale option from the survey, such as 1=Excellent, 2=Good, 3=Fair, 4=Poor. The question stem, response option, and scale information for each field can be found in the var "variable labels" and "value labels" sheets.

VERY IMPORTANT NOTE: The scientific survey data were weighted, meaning that the demographic profile of respondents was compared to the demographic profile of adults in Bloomington from US Census data. Statistical adjustments were made to bring the respondent profile into balance with the population profile. This means that some records were given more "weight" and some records were given less weight. The weights that were applied are found in the field "wt". If you do not apply these weights, you will not obtain the same results as can be found in the report delivered to the Bloomington. The easiest way to replicate these results is likely to create pivot tables, and use the sum of the "wt" field rather than a count of responses.

Organization: City of Bloomington
Community Survey: 2019 Survey Data

The City of Bloomington contracted with National Research Center, Inc. to conduct the 2019 Bloomington Community Survey. This was the second time a scientific citywide survey had been completed covering resident opinions on service delivery satisfaction by the City of Bloomington and quality of life issues. The first was in 2017. The survey captured the responses of 610 households from a representative sample of 3,000 residents of Bloomington who were randomly selected to complete the survey. VERY IMPORTANT NOTE: The scientific survey data were weighted, meaning that the demographic profile of respondents was compared to the demographic profile of adults in Bloomington from US Census data. Statistical adjustments were made to bring the respondent profile into balance with the population profile. This means that some records were given more "weight" and some records were given less weight. The weights that were applied are found in the field "wt". If you do not apply these weights, you will not obtain the same results as can be found in the report delivered to the City of Bloomington. The easiest way to replicate these results is likely to create pivot tables, and use the sum of the "wt" field rather than a count of responses.

Organization: City of Bloomington
Smoke Detector Risk

After coming across the open source data analysis tool created by Enigma, Bloomington FD (BFD) decided to pursue this data driven prevention project. After uploading 16 years of fire response data, the department was given a spreadsheet with our data analysis. The complexity of the project exceeded internal Fire Department capabilities and quickly moved to the collaborative project list established by our interdisciplinary team. This team based out of Indiana University includes data science researchers from the School of Informatics and Computing, leading technologists from the University’s Information Technology Services (UITS), and BFD members. The mapped data was created by Logan Paul, a graduate researcher in Prof. David Wild’s Integrative Data Science Laboratory and is much easier to use than the raw data. BFD plans to use the data to help focus smoke detector installations to areas that will have the biggest impact. If Bloomington's results are similar to other Cities across the nation, this data driven approach will increase our accuracy of smoke detector installations from 5-8 percent to nearly 65 percent. This represents a more efficient delivery of service that will also save lives.

How it works:

https://www.enigma.com/blog/developing-a-risk-model-for-residences-without-smoke-alarms

Open Source algorithm:

http://labs.enigma.io/smoke-signals/

Organization: City of Bloomington
2018 Maintenance and rehabilitation recommendations (M&R)

Maintenance and rehabilitation recommendations to maintain existing Pavement Condition Index (PCI) ratings utilizing a $688,000 budget. Data includes specific street branches, with associated segments, along with functional classification, true area (in both feet and yards), length (in both feet and yards) and current PCI rating. Also included is the recommended year to perform maintenance and rehabilitation work, a priority rating (Above or Below Critical) and an estimated cost.

Organization: City of Bloomington
Top20CountyCityTaxData

This dataset contains population, property tax rate and income tax rate for the top 20 cities in Indiana by population minus Indianapolis and Ft. Wayne.
Population information came from Wikipedia: https://en.wikipedia.org/wiki/List_of_cities_in_Indiana
Property tax rate information came from:
https://www.stats.indiana.edu/dms4/propertytaxes.asp

Organization: City of Bloomington
Simulation results and model files

Simulation results and the figures in the manuscript that are generated. 

This dataset is associated with the following publication:
Shang, F., J. Burkhardt, and R. Murray. Random Walk Particle Tracking to Model Dispersion in Steady Laminar and Turbulent Pipe Flow.   JOURNAL OF HYDRAULIC ENGINEERING. American Society of Civil Engineers  (ASCE), Reston, VA, USA, 149(7): 04023022, (2023).

Tags: dispersion, drinking-water, modeling, water-quality
Organization: U.S. Environmental Protection Agency
Concentrations of human fecal indicators in wastewater in Kentucky sewersheds

This dataset reports concentrations of RNAse P, PMMoV, and CrAssphage, as measured by qPCR, in wastewater at 28 sites including water treatment plants as well as smaller sewersheds. All sites are in the Louisville, KY, USA metro area. This dataset is not publicly accessible because: The data was generated and is being stored with the first author, a non-EPA resesarcher. It can be accessed through the following means: This data can be accessed by emailing the first author, Rochelle Holm, at rochelle.holm@louisville.edu. Format: Excel spreadsheets with columns for the site, sample collection time and date, and concentration of RNase P, PMMoV, and CrAssphage (copies/ml of wastewater). 

This dataset is associated with the following publication:
Holm, R., M. Nagarkar, R. Yeager, D. Talley, A. Chaney, J. Rai, A. Mukherjee, S. Rai, A. Bhatnagar, and T. Smith. Surveillance of RNase P, PMMoV and CrAssphage in wastewater as indicators of human fecal density across urban sewer neighborhoods Kentucky.   FEMS Microbes. Oxford University Press, OXFORD,  UK, 3(1): 1-12, (2022).

Tags: cross-assembly-phage, fecal-indicators, human-ribonuclease-p, pepper-mild-mottle-virus, sanitation
Organization: U.S. Environmental Protection Agency
Ohio Wastewater Monitoring Network Interlaboratory Assessment: EPA/ORD lab data

An interlaboratory assessment of the 8 analytical laboratories participating in the Ohio Wastewater Monitoring Network was conducted. This assessment compared measured results of SARS-CoV-2 gene fragments, fecal indicator organism and matrix spike. The data provided here are the results generated by the EPA/ORD lab participating in the network. 

This dataset is associated with the following publication:
Davis, A., S. Keely, N. Brinkman, Z. Bohrer, Y. Ai, X. Mou, S. Chattopadhyay, O. Hershey, J. Senko, N. Hull , E. Lytmer, A. Quintero, and J. Lee. Evaluation of intra- and inter-lab variability in quantifying SARS-CoV-2 in a state-wide wastewater monitoring network.   Environmental Science: Water Research & Technology. Royal Society of Chemistry, Cambridge,  UK, 9(4): 1053-1068, (2023).

Tags: covid-19, crass, method-validation, wastewater-surveillance
Organization: U.S. Environmental Protection Agency
Data for a Spatial Causal Analysis of Wildland Fire-Contributed PM2.5 During Wildfire Seasons 2008 - 2012

Data during wildfire seasons (May 1 - October 31) over the years 2008 - 2012 in the contiguous U.S. used for spatial causal analysis of wildland fire-contributed PM2.5. The two sources of PM2.5 data are monitor data from the EPA’s Air Quality System (AQS) and simulated PM2.5 from the CMAQ model. 

This dataset is associated with the following publication:
Larsen, A., S. Yang, B. Reich, and A. Rappold. A spatial causal analysis of wildland fire-contributed PM2:5 using numerical model output.   Annals of Applied Statistics. Institute of Mathematical Statistics, Beachwood, OH, USA, 16(4): 2714-2731, (2022).

Tags: causal-inference, cmaq, fine-particulate-matter-pm2-5, spacial-analysis, wildfire-smoke
Organization: U.S. Environmental Protection Agency
WQ_Lpculture

Contains Water quality data and Legionella pneumophila information by water sample. 

This dataset is associated with the following publication:
Donohue, M., M. Pham, S. Brown, K.  Easwaran, S. Vesper, and J. Mistry. Water Quality Influences Legionella pneumophila Determination.   WATER RESEARCH. Elsevier Science Ltd, New York, NY, USA, 238: 119989, (2023).

Tags: culture, legionella, qpcr, water-quality
Organization: U.S. Environmental Protection Agency
Chemical Screening in an Estrogen Receptor Transactivation Assay with Metabolic Competence

This is an original dataset generated at the U.S. EPA. Data was analyzed with the ToxCast Pipeline and deposited for release in invitroDB accessible via the U.S. EPA CompTox Chemicals Dashboard.
Dataset is a zip file containing two Excel spreadsheets titled   AIME-ERTA_384_Tables_All_Submission_v2    and   README_AIME-ERTA_384_Manuscript_Sup_Data_v2. 

This dataset is associated with the following publication:
Hopperstad, K., D. DeGroot, T. Zurlinden, C. Brinkman, R. Thomas, and C. Deisenroth. Chemical Screening in an Estrogen Receptor Transactivation Assay with Metabolic Competence.   TOXICOLOGICAL SCIENCES. Society of Toxicology, RESTON, VA,  187(1): 112-126, (2022).

Tags: endocrine-toxicology, estrogen-receptor, high-throughput-screening, xenobiotic-metabolism
Organization: U.S. Environmental Protection Agency