AndreaBozzo/ceres-open-data-index huggingface dataset:
BUTTER-E - Energy Consumption Data for the BUTTER Empirical Deep Learning Dataset

The BUTTER-E - Energy Consumption Data for the BUTTER Empirical Deep Learning Dataset adds node-level energy consumption data from watt-meters to the primary sweep of the BUTTER - Empirical Deep Learning Dataset. This dataset contains energy consumption and performance data from 63,527 individual experimental runs spanning 30,582 distinct configurations: 13 datasets, 20 sizes (number of trainable parameters), 8 network "shapes", and 14 depths on both CPU and GPU hardware collected using node-level watt-meters. This dataset reveals the complex relationship between dataset size, network structure, and energy use, and highlights the impact of cache effects. 

BUTTER-E is intended to be joined with the BUTTER dataset (see "BUTTER - Empirical Deep Learning Dataset on OEDI" resource below) which characterizes the performance of 483k distinct fully connected neural networks but does not include energy measurements.

Tags: benchmark, butter, butter-e, computational-science, deep-learning, efficient, empirical-deep-learning, empirical-machine-learning, energy, energy-consumption, energy-efficiency, energy-use, green-computing, machine-learning, model, network-structure, neural-networks, node-level, power, power-consumption, training, training-efficiency
Organization: Department of Energy
Hazus Loss Library/Archived Hazus Results

Centralized repository for accessing natural hazard risk information, curated by FEMA's Natural Hazards Risk Assessment Program (NHRAP). Risk assessment resources from the Hazus program are always freely available and transparently developed. rnrnDataset provides authoritative Hazus loss modeling results (Flood - Riverine and Coastal, Earthquake, Hurricane Wind, Tsunami).rnrnDatapoints are hard risk reports, result spreadsheets, geospatial data, hazard data, and Hazus Package Region (HPR).

Tags: threats-and-hazards
Organization: Department of Homeland Security
Evaluating water-quality trends in agricultural watersheds prioritized for management-practice implementation

Water-quality and streamflow data are available at https://doi.org/10.5066/F7P55KJN. Calculated nutrient and sediment loads are available at https://doi.org/10.5066/P96H2BDO. Inputs to the Chesapeake Bay Program's watershed model are available at https://doi.org/10.5066/P93SVYQG. Estimated nutrient and sediment management-practice load reductions are available at https://doi.org/10.5066/P95WG7G0. Expected physical effects of agricultural conservation practices are available at https://doi.org/10.5066/P9VY95KT. 

This dataset is associated with the following publication:
Webber, J., j. Chanat, J. Clune, O. Devereux, N. Hall, R. Sabo, and Q. Zhang. Evaluating water-quality trends in agricultural watersheds prioritized for management-practice implementation.   JOURNAL OF ENVIRONMENTAL MANAGEMENT. Elsevier Science Ltd, New York, NY, USA,  305-330, (2024).

Tags: agriculture, chesapeake-bay, management-practices, nitrogen, nitrogen-and-co-pollutants, nonpoint-sources, nutrients, phosphorus-and-nitrogen, sediment
Organization: U.S. Environmental Protection Agency
Dry Surface Layer_2020

Summary of lab experiments relating soil dry surface layer to soil moisture and other soil properties. This dataset is not publicly accessible because: This project was not funded by EPA nor were the data collected by EPA. It can be accessed through the following means: These data were generated by a student and professor at NC State University.  The data will be available by request from Professor Josh Heitman and may become publicly available if required by the scientific journal where the paper is published. Format: Not applicable. 

This dataset is associated with the following publication:
Mathers, C., W. Robarge, J. Walker, C. Sayde, and J. Heitman. Laboratory observations for examining estimates of soil dry surface layer thickness with parsimonious models.   Hydrological Sciences Journal. IAHS LIMITED, Oxford,  UK, 69(10): 1411-1416, (2024).

Tags: bidirectional-flux, deposition, micrometeorology, nitrogen, sulfur
Organization: U.S. Environmental Protection Agency
Wildfire Transcriptomic Similarity Scoring Data

This dataset was generated to support the differential expression analysis, transcriptomic similarity scoring analysis, exposure chemistry profiles, mouse pulmonary toxicity measures and associated figures contained within the manuscript. 

This dataset is associated with the following publication:
Koval, L., C. Carberry, Y.H. Kim, E. McDermott, H. Hartwell, I. Jaspers, M. Gilmour, and J. Rager. Wildfire Variable Toxicity: Identifying Biomass Smoke Exposure Groupings through Transcriptomic Similarity Scoring.   International Journal of Environmental Science and Technology. Springer, Heidelburg,  GERMANY, 56(23): 17131-17142, (2022).

Tags: air-pollution, biofuels, bioinformatics, toxicology, wildfire
Organization: U.S. Environmental Protection Agency
Libraries - Locations,  Contact Information, and Usual Hours of Operation

Chicago Public Library locations, contact information, and usual hours of operation.

Please note that branches may experience short-term closures due to utility interruptions, HVAC problems, and other unforeseen issues. For more up-to-date hours, please see https://chipublib.bibliocommons.com/locations or the Hours & Locations link at the top of any page on https://www.chipublib.org. For current closures, please see https://www.chipublib.org/news/cpl-location-closures.

Tags: facilities, gis, libraries
Organization: City of Chicago
Lobbyist Data - Historical - Lobbyist Registry - 2011

All lobbyist registration fillings submitted to the Board of Ethics during the 2011 reporting period. / All lobbyists must register with the City of Chicago Board of Ethics by filing a Statement of Registration within five business days of engaging in lobbying activity and annually thereafter by January 20th. Lobbyist registration information is submitted to the Board of Ethics in paper form and is available in its entirety in the Board's offices. 
Data Owner:  Board of Ethics 
[http://j.mp/mbH9BN] /
Time Period: January 1, 2011 to present /
Related Applications:  Registered Lobbyist List [http://bit.ly/FOctNY]
2010 Lobbyist Registry 
[http://j.mp/kyZ4HP]

Tags: historical, lobbyists
Organization: City of Chicago
Violence Reduction - Shotspotter Alerts - Historical

NOTE: The City of Chicago ended its use of ShotSpotter on 9/22/2024. This dataset is historical-only and ends with that date.

This dataset contains all ShotSpotter alerts since the introduction of ShotSpotter to some Chicago Police Department (CPD) districts in 2017. ShotSpotter is a gunshot detection system designed to automatically determine the location of potential outdoor gunfire. ShotSpotter audio sensors are placed in several CPD districts throughout the city (specific districts are noted below). If at least three sensors detect a sound that the ShotSpotter software determines to be potential gunfire, a location is determined and the alert is sent to human ShotSpotter analysts for review. Either the alert is sent to CPD, or it is dismissed. Each alert can contain multiple rounds of gunfire; sometimes there are multiple alerts for what may be determined to be one incident. More detail on the technology and its accuracy can be found on the company’s website <a href="https://www.shotspotter.com">here</a>. It should also be noted that ShotSpotter alerts may increase year-over-year while gun violence did not necessarily increase accordingly because of improvements in detection sensors.

ShotSpotter does not exist in every CPD district, and it was not rolled out in every district at the same time. ShotSpotter was first deployed in Chicago in 2017, and sensors exist in the following districts as of the May 2021 launch of this dataset: 002, 003, 004, 005, 006, 007, 008, 009, 010, 011, 015, and 025.

Tags: historical, police, public-safety, violence-reduction
Organization: City of Chicago
Energy and Water Data Disclosure for Local Law 84 2017 (Data for Calendar Year 2016)

Data and metrics on water and energy consumption in privately owned buildings over 25,000 ft2 and in City-owned buildings over 10,000 ft2.

Tags: building-energy, energy-benchmarking, energy-efficiency, energy-star, energy-use-intensity, environmental-protection-agency, epa, eui, ggbp, ghg, greener-greater-buildings-plan, greenhouse-gas, ll84, local-law-84, portfolio-manager
Organization: City of New York
Energy and Water Data Disclosure for Local Law 84 2021 (Data for Calendar Year 2020)

Data and metrics on water and energy consumption in privately owned buildings over 25,000 ft2 and in City-owned buildings over 10,000 ft2.

Tags: building-energy, energy-benchmarking, energy-efficiency, energy-star, energy-use-intensity, environmental-protection-agency, epa, eui, ggbp, ghg, greener-greater-buildings-plan, greenhouse-gas, ll84, local-law-84, portfolio-manager
Organization: City of New York
Energy and Water Data Disclosure for Local Law 84 2013 (Data for Calendar Year 2012)

Data and metrics on water and energy consumption in privately owned buildings over 25,000 ft2 and in City-owned buildings over 10,000 ft2.

Tags: building-energy, energy-benchmarking, energy-efficiency, energy-star, energy-use-intensity, environmental-protection-agency, epa, eui, ggbp, ghg, greener-greater-buildings-plan, greenhouse-gas, ll84, local-law-84, portfolio-manager
Organization: City of New York
Energy and Water Data Disclosure for Local Law 84 2015 (Data for Calendar Year 2014)

Data and metrics on water and energy consumption in privately owned buildings over 25,000 ft2 and in City-owned buildings over 10,000 ft2.

Tags: building-energy, energy-benchmarking, energy-efficiency, energy-star, energy-use-intensity, environmental-protection-agency, epa, eui, ggbp, ghg, greener-greater-buildings-plan, greenhouse-gas, ll84, local-law-84, portfolio-manager
Organization: City of New York
Energy and Water Data Disclosure for Local Law 84 2011 (Data for Calendar Year 2010)

Data and metrics on water and energy consumption in privately owned buildings over 25,000 ft2 and in City-owned buildings over 10,000 ft2.

Tags: building-energy, energy-benchmarking, energy-efficiency, energy-star, energy-use-intensity, environmental-protection-agency, epa, eui, ggbp, ghg, greener-greater-buildings-plan, greenhouse-gas, ll84, local-law-84, portfolio-manager
Organization: City of New York
Energy and Water Data Disclosure for Local Law 84 2012 (Data for Calendar Year 2011)

Data and metrics on water and energy consumption in privately owned buildings over 25,000 ft2 and in City-owned buildings over 10,000 ft2.

Tags: building-energy, energy-benchmarking, energy-efficiency, energy-star, energy-use-intensity, environmental-protection-agency, epa, eui, ggbp, ghg, greener-greater-buildings-plan, greenhouse-gas, ll84, local-law-84, portfolio-manager
Organization: City of New York
Energy and Water Data Disclosure for Local Law 84 2016 (Data for Calendar Year 2015)

Data and metrics on water and energy consumption in privately owned buildings over 25,000 ft2 and in City-owned buildings over 10,000 ft2.

Tags: building-energy, energy-benchmarking, energy-efficiency, energy-star, energy-use-intensity, environmental-protection-agency, epa, eui, ggbp, ghg, greener-greater-buildings-plan, greenhouse-gas, ll84, local-law-84, portfolio-manager
Organization: City of New York
Energy and Water Data Disclosure for Local Law 84 2019 (Data for Calendar Year 2018)

Data and metrics on water and energy consumption in privately owned buildings over 25,000 ft2 and in City-owned buildings over 10,000 ft2.

Tags: building-energy, energy-benchmarking, energy-efficiency, energy-star, energy-use-intensity, environmental-protection-agency, epa, eui, ggbp, ghg, greener-greater-buildings-plan, greenhouse-gas, ll84, local-law-84, portfolio-manager
Organization: City of New York
Energy and Water Data Disclosure for Local Law 84 2018 (Data for Calendar Year 2017)

Data and metrics on water and energy consumption in privately owned buildings over 25,000 ft2 and in City-owned buildings over 10,000 ft2.

Tags: building-energy, energy-benchmarking, energy-efficiency, energy-star, energy-use-intensity, environmental-protection-agency, epa, eui, ggbp, ghg, greener-greater-buildings-plan, greenhouse-gas, ll84, local-law-84, portfolio-manager
Organization: City of New York
Historical Agency Expenditures – Multi-Year Report (2014 - 2018)

This is a historical listing of state agencies expenditure data covering fiscal years (2014 - 2018). The data and information provided in this dataset is for educational and informational purposes. The format of data and information being reported was for years 2014 - 2018. Visit the Oregon Transparency website for more current expenditure data, information, and reporting formats. https://www.oregon.gov/transparency/Pages/Index.aspx

Tags: agency-expenditures, multi-year-report, transparency
Organization: State of Oregon
5.09 CIP Funds Encumbered (dashboard) - deprecated

<div><i>This performance measure had changed to reflect a different approach to tracking how the City is determining the success of its Capital Improvement Program (CIP). Historically, the measure tracked spending on CIP construction projects each year.  However, as economic conditions may change significantly from the time the CIP program is developed to when project spending actually occurs, the capacity to complete all programs as envisioned may be impacted. As a result, new criteria and data has been developed to track how reliably projects are completed starting after a project’s design phase and when construction has begun, which is more under the City’s control.</i><br /></div><div><br /></div><div>This operations dashboard shows historic and current data related to this performance measure. <br /></div><div><br /></div><div><p style='margin:0in 0in 0.0001pt;'>The performance measure dashboard is available at <a href='https://financial-stability-and-vitality-tempegov.hub.arcgis.com/pages/cip-funds' target='_blank' rel='nofollow ugc noopener noreferrer'>5.09 CIP Funds Encumbered</a>.</p><p style='margin:0in 0in 0.0001pt;'> </p><p style='margin:0in 0in 0.0001pt;'><a href='https://gis.tempe.gov/design/data-dictionary/5.09%20CIP%20Funds%20Spent%20or%20Encumbered%20Quarterly%20(detail)/' target='_blank' rel='nofollow ugc noopener noreferrer'>Data Dictionary</a><br /></p></div><div><br /></div><div><br /></div>

Tags: central-services, cip-funds-encumbered-pm-5-09, financial-services, financial-stability-and-vitality, internal-services
Organization: City of Tempe
Energy and Water Data Disclosure for Local Law 84 2014 (Data for Calendar Year 2013)

Data and metrics on water and energy consumption in privately owned buildings over 25,000 ft2 and in City-owned buildings over 10,000 ft2.

Tags: building-energy, energy-benchmarking, energy-efficiency, energy-star, energy-use-intensity, environmental-protection-agency, epa, eui, ggbp, ghg, greener-greater-buildings-plan, greenhouse-gas, ll84, local-law-84, portfolio-manager
Organization: City of New York
Energy and Water Data Disclosure for Local Law 84 2020 (Data for Calendar Year 2019)

Data and metrics on water and energy consumption in privately owned buildings over 25,000 ft2 and in City-owned buildings over 10,000 ft2.

Tags: building-energy, energy-benchmarking, energy-efficiency, energy-star, energy-use-intensity, environmental-protection-agency, epa, eui, ggbp, ghg, greener-greater-buildings-plan, greenhouse-gas, ll84, local-law-84, portfolio-manager
Organization: City of New York
Loudoun Imagery 2023

<div style='text-align:Left;'><div><div><p><span>Loudoun County annually obtains leaf-off, aerial imagery in the spring. Since 2004, the County has utilized this imagery to support the development of an annual digital orthophoto base. In 2023, the imagery was captured with a Vexcel Ultracam Eagle digital camera, in 4-band (R,G,B, and NIR) format. These files contain 1-foot ground-resolution, 8-bit, 4-band orthorectified aerial image map products in GeoTIFF version 6.0 file format. GeoTIFF files are uncompressed raster images complete with TFW coordinate information. The aerial imagery project encompasses the entire land area of the County of Loudoun, VA. Images were flown during leaf-off conditions and cover 5000' by 5000' and are tiled according to the VBMP 200-scale gridding schema (Virginia Geographic Information Network).</span></p><p><span>&quot;</span>March 2023 Photography flown by The Sanborn Map Company, Inc. Colorado Springs, CO.&quot; &quot;Digital Orthophotography compiled by Sanborn Map Company, Inc. Colorado Springs, CO&quot;</p></div></div></div>

Tags: 2023, aerial, base-layers, imagery
Organization: Loudoun County, Virginia
Loudoun Imagery 2022 Cached

<div style='text-align:Left;'><div><p><span>Loudoun County annually obtains leaf-off, aerial imagery in the spring. Since 2004, the County has utilized this imagery to support the development of an annual digital orthophoto base. In 2022, the imagery was captured with a Vexcel Ultracam Eagle digital camera, in 4-band (R,G,B, and NIR) format. These files contain 1-foot ground-resolution, 8-bit, 4-band orthorectified aerial image map products in GeoTIFF version 6.0 file format. GeoTIFF files are uncompressed raster images complete with TFW coordinate information. The aerial imagery project encompasses the entire land area of the County of Loudoun, VA. Images were flown during leaf-off conditions and cover 5000' by 5000' and are tiled according to the VBMP 200-scale gridding schema (Virginia Geographic Information Network).</span></p><p><span>&quot;February 2022 Photography flown by the Sanborn Map Company, Colorado Springs, CO.&quot; &quot;Digital Orthophotography compiled by Sanborn Map Company, Colorado Springs, CO&quot;<br /></span></p></div></div>

Tags: 2022, aerial, base-layers, imagery
Organization: Loudoun County, Virginia
Loudoun Imagery 2024

Loudoun County annually obtains leaf-off, aerial imagery in the spring. Since 2004, the County has utilized this imagery to support the development of an annual digital orthophoto base. In 2024, the imagery was captured with a Vexcel Ultracam Eagle digital camera, in 4-band (R,G,B, and NIR) format. These files contain 1-foot ground-resolution, 8-bit, 4-band orthorectified aerial image map products in GeoTIFF version 6.0 file format. GeoTIFF files are uncompressed raster images complete with TFW coordinate information. The aerial imagery project encompasses the entire land area of the County of Loudoun, VA. Images were flown during leaf-off conditions and cover 5000' by 5000' and are tiled according to the VBMP 200-scale gridding schema (Virginia Geographic Information Network).<div><span style='color:rgb(0, 0, 0); font-family:Arial; font-size:13.3333px;'><br /></span></div><div>&quot;February 2024 Photography flown by the Sanborn Map Company, Colorado Springs, CO.&quot; &quot;Digital Orthophotography compiled by Sanborn Map Company, Colorado Springs, CO&quot;<span style='color:rgb(0, 0, 0); font-family:Arial; font-size:13.3333px;'><br /></span></div>

Tags: 2024, aerial, base-layers, imagery
Organization: Loudoun County, Virginia
Ammonium Perchlorate - Serum dosimetry, neurotoxicity and resilience of the neonatal rat thyroid system

Perchlorate is an environmental contaminant that interferes with iodine uptake via the NIS transporter into the thyroid gland, reducing thyroid hormone (TH) synthesis. As adequate supplies of TH are essential for brain development, exposures to perchlorate during pregnancy have raised concern for the developing brain. This paper describes the effects of exposure of pregnant rat dams to a classic chemical NIS inhibitor, perchlorate, on serum, thyroid gland and brain in the dam and pup. declines were observed in the newborn pup. TH were also reduced in the newborn pup brain, but both serum and brain hormones quickly recovered by PN2 despite continued maternal exposure.  Gene expression changes in the gland revealed dramatic increases in expression of Nis, serum perchlorate concentrations fell, and large increases in serum TSH were evident. Combined, these events contributed to rapid recovery of serum markers in the early postnatal period. Despite full recovery of serum and brain hormones, significant reductions in a number of molecular markers of TH-action remained in the cortex and hippocampus of the PN14 pup brain. The findings provide for the first-time quantitative information collected in the same study for thyroid hormones in the thyroid gland, serum, and brain. They provide essential quantitative data to reduce uncertainties in development of Physiologically Based Pharmacokinetic (PBPK), Biologically Based Dose Response (BBDR), and Quantitative Adverse Outcome (qAOP) models of thyroid disruption and neurodevelopment. They demonstrate the remarkable resilience of the neonatal thyroid gland to NIS inhibition and support the use of Comparative Thyroid Assay (CTA) for identifying thyroid system disrupting chemicals. They indicate that the postnatal rat may be much less sensitive to the neurological effects of TH insufficiency relative to humans based on species differences in the timing of brain development. 

This dataset is associated with the following publication:
Gilbert, M., I. Hassan, K. O'Shaughnessy, C. Wood, T. Stoker, C. Riutta, and J. Ford. Ammonium Perchlorate: Serum Dosimetry, Neurotoxicity and Resilience of the Neonatal Rat Thyroid System.   TOXICOLOGICAL SCIENCES. Society of Toxicology, RESTON, VA,  198(1): 113-127, (2023).

Tags: adverse-outcome-pathways-aops, childrens-environmental-health, childrens-health, developmental-neurotoxicity, drinking-water-contaminants, environmental-justice, human-health, in-vivo
Organization: U.S. Environmental Protection Agency
Dataset for Publication PFAS Modulate Osmotic Signaling Independent of Gravimetric Changes in the Rat Uterus

Uterotrophic assay data analysis from gene arrays and uterine weights. 

This dataset is associated with the following publication:
Dixon, A., E. Rowan, A. Yackley, and E. Hines. PFAS Modulate Osmotic Signaling Independent of Gravimetric Changes in the Rat Uterus.   Toxics. MDPI, Basel,  SWITZERLAND, 12(3): 170, (2024).

Tags: adverse-outcome-pathways-aops, childrens-environmental-health, pfas, translational-research, uterotrophic-assay
Organization: U.S. Environmental Protection Agency
SplitSmart: An Open Dataset for Enabling Research in Energy-Efficient Ductless-Split Air Conditioner

SplitSmart provides a context-rich open dataset to facilitate research in energy efficient ductless-split cooling systems. The objective is to enable research advancements to make the ductless-split cooling systems (aka air conditioners) energy efficient and reduce the associated carbon emissions. The data presented here was collected over a period of four years from 2019 to 2023 in a living lab setting within Birla Institute of Technology and Science (BITS) Pilani, Goa campus using IoT sensors.

Tags: ac, air-conditioner, birla-institute-of-technology-and-science, bits-pilani, buildings, buildings-efficiency, carbon-emissions, cooling-systems, data, ductless, ductless-split, energy, energy-efficiency, power, raw-data
Organization: Department of Energy