AndreaBozzo/ceres-open-data-index huggingface dataset:
Small Business Lending in the United States-2017

Small business lending from bank lenders remained positive in 2017, but a slower pace than the previous year.  The research report by the Office of Advocacy examines FDIC data to find that small banks devoted larger shares of their assets to small business loans, while large banks issued a higher total volume of small business loans. The report covers all small business loans (commercial loans of $1 million or less) and is not specific to SBA-guaranteed loans. It contains detailed appendix tables with information on small business loans outstanding and loan originations for all reporting banks by state. These tables also provide state rankings of bank lenders by small business lending ratios.

Tags: 2017, commercial-banks, lending, loan, savings, savings-banks, sba, small-business-lending
Organization: Small Business Administration
Small Business Lending In The United States - 2019

Advocacy’s small business lending report examines FDIC data to determine the state of bank lending to small businesses. Between June 2017 and June 2019, small business lending remained positive, though below the increase in lending to large businesses. This report examines all small business loans (commercial loans valued at $1 million or less) and is not specific to SBA-guaranteed loans. The data in the report provides a snapshot of the credit market before the beginning of the COVID-19 pandemic. In addition, the appendix tables provide rankings of top bank lenders by small business lending ratios.  This year, detailed state tables are provided to spotlight the small business lending activity in each state.

Tags: 2019, commercial-banks, lending, loan, savings, savings-banks, sba, small-business-lending
Organization: Small Business Administration
Small Business Lending in the United States-2020

Advocacy’s small business lending report examines FDIC data to determine the state of bank lending to small businesses. This report, which analyzes loan data from June 2019 to June 2020, examines the small business lending market at the beginning of the COVID-19 pandemic. Small business loans (loans below $1 million) increased by nearly 40% from 2019 to 2020, largely due to the newly enacted Paycheck Protection Program. 
Alongside the report, the appendix tables provide bank level detail of small business lending activity and breakdowns at the state level.

Tags: 2020, commercial-banks, lending, loan, savings, savings-banks, sba, small-business-lending
Organization: Small Business Administration
SBA FITARA Implementation Plan

Federal Information Technology Acquisition Reform Act (FITARA) enhances the  responsibility and authority of agency CIOs so as to increase their efficiency in managing and overseeing IT resources and assets. These responsibilities and authorities include, but are not limited to: IT portfolio review; budget formulation and approval of IT budgets; CIO appointing authority; enhanced transparency and risk management of IT investments; IT workforce planning; strategic sourcing; and consistency in reporting to strengthen accountability and manage cost, schedule, and performance measures for IT programs. 

SBA’s FITARA Implementation Plan describes the policies, processes, and guidance that require updates or revisions to meet Office of Management and Budget (OMB) objectives and comply with FITARA requirements.

Tags: federal-information-technology-acquisition-reform, fitara, sba
Organization: Small Business Administration
Measurements of SARS-CoV-2 and target concentrations in wastewater near Cincinnati, OH, from May to October 2020.

This dataset contains the raw droplet counts resulting from of ddPCR or RT-ddPCR of nucleic acid extracts from wastewater. The wastewater was collected from three different sewersheds in Southwest Ohio (Mill Creek WWTP, Taylor Creek WWTP, and a sub-sewershed, Lick Run). ddPCR counts (positive droplets and total droplets) are provided for the following targets: N1 and N2 (SARS-CoV-2 nucleocapsid genes), crAssphage, PMMoV, HF183 (all fecal indicators), and OC43 (an RNA spike-in from a cultured coronavirus). Other metadata (pH, flow, temperature, TSS, CBOD5) are provided where available. 

This dataset is associated with the following publication:
Nagarkar, M., S. Keely, M. Jahne, E. Wheaton, C. Hart, B. Smith, J. Garland, E. Varughese, A. Braam, B. Wiechman, B. Morris, and N. Brinkman. SARS-CoV-2 Monitoring at three sewersheds of different scales and complexity demonstrates distinctive relationships between wastewater measurements and COVID-19 case data.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 816: 151534, (2022).

Tags: centralized-wastewater-treatment-system, coronavirus-disease-2019, covid-19-surveillance, crassphage, ddpcr, hf183, ohio, pmmov, sewershed
Organization: U.S. Environmental Protection Agency
Datasets associated with journal article 'Combining phenotypic profiling and targeted RNA-Seq reveals linkages between transcriptional perturbations and chemical effects on cell morphology: Retinoic acid as an example' by Nyffeler, J, et.al.

We evaluated the Templated Oligo with Sequencing Readout (TempO-Seq) assay for High-throughput transcriptomic screening of a small set of environmental chemicals. This assay yields sequencing reads of exactly 50 base pairs that can be rapidly aligned to generate gene counts, and is compatible with cell lysates prepared in multiwell format. The version of the TempO-Seq assay we evaluated provides nearly whole transcriptome coverage (>20,000 genes). This study encompasses 2 replicates of a 384-well plate design. The majority of wells contain U-2 OS cells exposed to 11 test chemicals at 7 different concentrations (two replicate per test chemical, concentration, and plate), and additional reference samples and controls. Controls include DMSO vehicle treatments (22 per plate). Reference samples include bulk lysate MCF7 samples (2 DMSO treated and 2 TSA treated samples per plate), reference chemical treatments (3 chemicals at single conc each, per plate), and vendor-provided reference RNA mixtures (UHRR and HBRR). 

This dataset is associated with the following publication:
Nyffeler, J., C. Willis, D. Harris, L. Taylor, R. Judson, L. Everett, and J. Harrill. Combining phenotypic profiles and targeted RNA-Seq reveals linkages between transcriptional perturbations and chemical effects on cell morphology: retinoic acid as an example..   TOXICOLOGY AND APPLIED PHARMACOLOGY. Academic Press Incorporated, Orlando, FL, USA, 444: 116032, (2022).

Tags: computational-toxicology, high-throughput-phenotypic-profiling, high-throughput-transcriptomicss, new-approach-methods
Organization: U.S. Environmental Protection Agency
Datasets for 'Probabilistic Points of Departure and Reference Doses for Characterizing Human Noncancer and Developmental/Reproductive Effects for 10,145 Chemicals'

First, we curated and selected experimental animal toxicity data and split them into two distinct data sets covering general noncancer eﬀects and reproductive/developmental eﬀects. Second, we collected POD values from regulatory data sources (PODreg) and compared these PODreg with the curated dose–response toxicity data to identify a statisti-cal approach for deriving surrogate oral PODs. Third, we systematically applied this approach to determine a surrogate POD for each substance in the two curated data sets. We then characterized the uncertainty around each of the surrogate PODs that was due to intrastudy and interstudy variability through a bootstrapping approach. Finally, using the surrogate PODs and their uncertainty, we derived both probabilistic RfDs and human population eﬀect doses (I =10%) for use in health-based or comparative risk assessments and LCIA, respectively. 

This dataset is associated with the following publication:
Aurisano, N., O. Jolliet, W. Chiu, R. Judson, S. Jang, A. Unnikrishnan, M. Kosnik, and P. Fantke. Probabilistic Points of Departure and Reference Doses for Characterizing Human Noncancer and Developmental/Reproductive Effects for 10,145 Chemicals.   ENVIRONMENTAL HEALTH PERSPECTIVES. National Institute of Environmental Health Sciences (NIEHS), Research Triangle Park, NC, USA, 131(3): 037016, (2023).

Tags: comptox-chemicals-dashboard, in-vivo, point-of-departure, toxvaldb
Organization: U.S. Environmental Protection Agency
Simulation results for water age analysis

Simulation results on water age analysis. Comparison of the results between EPAENT 2.2 and 2.0. 

This dataset is associated with the following publication:
Burkhart, B., and R. Janke. Understanding Water Age in Distribution Systems with EPANET.   Journal AWWA. American Water Works Association, Denver, CO, USA, 115(2): 24-34, (2023).

Tags: epanet, water-age, water-distribution-system, water-quality
Organization: U.S. Environmental Protection Agency
Identification of differentially expressed genes and networks related to hepatic lipid dysfunction

Jaleh A. Abedini, Sakshi Handa, Stephen Edwards, Brian Chorley, Hisham El-Masri,
Identification of differentially expressed genes and networks related to hepatic lipid dysfunction, Toxicology and Applied Pharmacology, Volume 382, 2019, 114757, ISSN 0041-008X, https://doi.org/10.1016/j.taap.2019.114757. 

This dataset is associated with the following publication:
Abedini, J., S. Handa, S. Edwards, B. Chorley, and H. El-Masri. Identification of differentially expressed genes and networks related to hepatic lipid dysfunction.   TOXICOLOGY AND APPLIED PHARMACOLOGY. Academic Press Incorporated, Orlando, FL, USA, 382: 114757, (2019).

Tags: adme, bioinformatics, pbpk, steatosis
Organization: U.S. Environmental Protection Agency
A Machine Learning Model to Estimate Toxicokinetic Half-Lives of Per- and Polyfluoro-Alkyl Substances (PFAS) in Multiple Species

Data and code for "Dawson, D.E.; Lau, C.; Pradeep, P.; Sayre, R.R.; Judson, R.S.; Tornero-Velez, R.; Wambaugh, J.F. A Machine Learning Model to Estimate Toxicokinetic Half-Lives of Per- and Polyfluoro-Alkyl Substances (PFAS) in Multiple Species. Toxics 2023, 11, 98. https://doi.org/10.3390/toxics11020098"

Includes a link to R-markdown file allowing the application of the model to novel chemicals. 

This dataset is associated with the following publication:
Dawson, D., C. Lau, P. Pradeep, R. Sayre, R. Judson, R. Tornero-Velez, and J. Wambaugh. A Machine Learning Model to Estimate Toxicokinetic Half-Lives of Per- and Polyfluoro-Alkyl Substances (PFAS) in Multiple Species.   Toxics. MDPI, Basel,  SWITZERLAND, 11(2): 98, (2023).

Tags: half-life, machine-learning-model, pfas, toxicokinetics
Organization: U.S. Environmental Protection Agency
Dataset for Relationship between temperature and mortality in the United States: changes in city-level vulnerability and implications for future projections based on a geographically clustered meta-regression

This dataset supports the manuscript "Relationship between temperature and mortality in the United States: changes in city level vulnerability and implications for future projections based on a geographically clustered meta-regression", in press at Lancet Planetary Health. 

The dataset includes a description of primary data sources, the code used to process the primary data, the intermediate data produced, and the code used to produce figures for the paper. Citation information for this dataset can be found in the EDG's Metadata Reference Information section and Data.gov's References section.

Tags: adaptation, climate, heat-mortality
Organization: U.S. Environmental Protection Agency
Benign Zinc Oxide Betaine-Modified Biochar Nanocomposites for Phosphate Removal from Aqueous Water

XRD and TEM images. 

This dataset is associated with the following publication:
Nakarmi, A., S. Bourdo, L. Ruhl, S.R. Kanel, M. Nadagouda, P. Kumar Alla, I. Pavel, and T. Viswanathan. Benign Zinc Oxide Betaine-Modified Biochar Nanocomposites for Phosphate Removal from Aqueous Water.   JOURNAL OF ENVIRONMENTAL MANAGEMENT. Elsevier Science Ltd, New York, NY, USA, 272( ): 111048, (2020).

Tags: biochar, nitrogen-and-co-pollutants, phosphate-removal, wastewater, zinc-oxide
Organization: U.S. Environmental Protection Agency
Evaluating the utility of a high throughput thiol-containing fluorescent probe to screen for reactivity: A case study with the Tox21 library

Code repository, data files, and supplementary information for "Grace Patlewicz, Katie Paul-Friedman, Keith Houck, Li Zhang, Ruili Huang, Menghang Xia, Jason Brown, Steven O. Simmons, Evaluating the utility of a high throughput thiol-containing fluorescent probe to screen for reactivity: A case study with the Tox21 library, Computational Toxicology, Volume 26, 2023, 100271, ISSN 2468-1113, https://doi.org/10.1016/j.comtox.2023.100271.". 

This dataset is associated with the following publication:
Patlewicz, G., K. Friedman, K. Houck, L. Zhang, R. Huang, M. Xia, J. Brown, and S. Simmons. Evaluating the utility of a high throughput thiol-containing fluorescent probe to screen for reactivity: A case study with the Tox21 library.   Computational Toxicology. Elsevier B.V., Amsterdam,  NETHERLANDS, 26: 100271, (2023).

Tags: in-silico-prediction-models, reaction-mechanistic-domains, reactivity-assay, tox21
Organization: U.S. Environmental Protection Agency
Transparency in Modeling through Careful Application of OECD’s QSAR/QSPR Principles via a Curated Water Solubility Data Set

Figures, Tables, and QRMF for "Charles N. Lowe, Nathaniel Charest, Christian Ramsland, Daniel T. Chang, Todd M. Martin, and Antony J. Williams
Chemical Research in Toxicology 2023 36 (3), 465-478
DOI: 10.1021/acs.chemrestox.2c00379". 

This dataset is associated with the following publication:
Lowe, C., N. Charest, C. Ramsland, D. Chang, T. Martin, and A. Williams. Transparency in Modeling through Careful Application of OECD’s QSAR/QSPR Principles via a Curated Water Solubility Data Set.   CHEMICAL RESEARCH IN TOXICOLOGY. American Chemical Society, Washington, DC, USA, 36(3): 465-478, (2023).

Tags: cheminformatics, databases, oecd-validation-principles, qsar, water-solubility
Organization: U.S. Environmental Protection Agency
A New CSRML Structure-Based Fingerprint Method for Profiling and Categorizing Per- and Polyfluoroalkyl Substances (PFAS)

Data for Ann M. "Richard, Ryan Lougee, Matthew Adams, Hannah Hidle, Chihae Yang, James Rathman, Tomasz Magdziarz, Bruno Bienfait, Antony J. Williams, and Grace Patlewicz, Chemical Research in Toxicology 2023 36 (3), 508-534, DOI: 10.1021/acs.chemrestox.2c00403"

Table S1 FP ToxPrint fingerprint matrix exported from the ChemoTyper for PFASSTRUCTV5 containing 14,735 rows indexed by DTXSID substance identifier and 729 columns indexed by ToxPrint names (alphabetized); 

Table S2 TxP_PFAS_v1.0.4 fingerprint matrix exported from the ChemoTyper for PFASSTRUCTV5 containing 14,735 rows indexed by DTXSID substance identifier and 129 columns indexed by TxP_PFAS_v1.0.4 chemotype names (alphabetized)

Table S3 Chemotype count totals for TxP_PFAS_v1.0.4 mapped to PFASSTRUCTV5 compared to counts for PFASSTRUCTV4, as well as corresponding ToxPrint names where a close correspondence exists

Table S4 Chemotype count totals for ToxPrints mapped to PFASSTRUCTV5 compared to counts for PFASSTRUCTV4, as well as indications of which ToxPrints have a closely corresponding TxP_PFAS chemotype

Table S5 DSSTox chemical identifiers (DTXSID, SMILES, name, CASRN, formula) for PFASSTRUCTV5 list, indicator column for overlapping content in PFASSTRUCTV4 (10,586) and PFASOECD (3662) lists, indicator columns for the 7 TxP_PFAS chemotypes used in the OECD Category analysis of Section 5, indicator columns for chemicals containing one or more of the 20 TxP_PFAS fluorotelomer (FT) chemotypes or designated as an OECD FT, and assigned OECD Structure-Category Name for the 3662 overlapping OECD vs PFASSTRUCTV5 chemicals, with the last separated column listing the 106 unique OECD Structure Categories; PFASSTRUCTV5_20221101.sdf containing 14,735 structures, also described and available for viewing and download at: https://comptox.epa.gov/dashboard/chemical-lists/PFASSTRUCTV5; TxP_PFAS_v1.0.4.xml CSRML file containing coding for 129 TxP_PFAS chemotypes and their hierarchy index. 

This dataset is associated with the following publication:
Richard, A., R. Lougee, M. Adams, H. Hidle, C. Yang, J. Rathman, T. Magdziarz, A. Williams, G. Patlewicz, and B. Bienfait. A New CSRML Structure-Based Fingerprint Method for Profiling and Categorizing Per- and Polyfluoroalkyl Substances (PFAS).   CHEMICAL RESEARCH IN TOXICOLOGY. American Chemical Society, Washington, DC, USA, 36(3): 508-534, (2023).

Tags: alkyls, chemical-structure, functional-groups, molecular-structure, molecules
Organization: U.S. Environmental Protection Agency
Improved mapping of coastal salt marsh habitat change at Barnegat Bay (NJ, USA) using object-based image analysis of high-resolution aerial imagery_data

Data for the classification of coastal land-cover of Barnegat Bay (Fig. 1) were downloaded from the USGS Earth Resources Observation and Science (EROS) Center via the USGS Earth Explorer website. Portions of this dataset are inaccessible because: N/A See above. They can be accessed through the following means: N/A See above. Format: N/A See above. 

This dataset is associated with the following publication:
Krause, J.R., A.J. Oczkowski, and E.B. Watson. Improved mapping of coastal salt marsh habitat change at Barnegat Bay (NJ, USA) using object-based image analysis of high-resolution aerial imagery.   Remote Sensing Applications: Society and Environment. Elsevier B.V., Amsterdam,  NETHERLANDS, 29(January 2023): 100910, (2023).

Tags: climate-change, estuary, loss, nitrogen, nitrogen-and-co-pollutants, salt-marsh
Organization: U.S. Environmental Protection Agency
Identifying xenobiotic metabolites with in silico prediction tools and LCMS suspect screening analysis

Data for "Boyce Matthew, Favela Kristin A., Bonzo Jessica A., Chao Alex, Lizarraga Lucina E., Moody Laura R., Owens Elizabeth O., Patlewicz Grace, Shah Imran, Sobus Jon R., Thomas Russell S., Williams Antony J., Yau Alice, Wambaugh John F. Identifying xenobiotic metabolites with in silico prediction tools and LCMS suspect screening analysis. Frontiers in Toxicology, 5, 2023 https://www.frontiersin.org/articles/10.3389/ftox.2023.1051483    10.3389/ftox.2023.1051483, 2673-3080. 

This dataset is associated with the following publication:
Boyce, M., K. Favela, J. Bonzo, A. Chao, L. Lizarraga, L. Moody, E. Owens, G. Patlewicz, I. Shah, J. Sobus, R. Thomas, A. Williams, A. Yau, and J. Wambaugh. Identifying xenobiotic metabolites with in silico prediction tools and LCMS suspect screening analysis.   Frontiers in Toxicology. Frontiers, Lausanne,  SWITZERLAND, 5: 1051483, (2023).

Tags: in-silico, lcms, metabolites, xenobiotic
Organization: U.S. Environmental Protection Agency
MD COVID-19 - Total Vaccinations Statewide

Regarding all Vaccination Data
The date of Last Update is 4/21/2023. Additionally on 4/27/2023 several COVID-19 datasets were retired and no longer included in public COVID-19 data dissemination.

See this link for more information
https://imap.maryland.gov/pages/covid-data

<b>Summary</b>
The cumulative number of COVID-19 vaccinations in Maryland: First dose, second dose, single dose, total vaccinations.

<b>Description</b>
The MD COVID-19 - Total Vaccinations Statewide data layer is a collection of the statewide COVID-19 vaccinations that have been reported each day into ImmuNet. Doses administered also account for doses of vaccine provided to the District of Columbia to vaccinate Maryland residents who work in DC.

<b>Terms of Use</b>
The Spatial Data, and the information therein, (collectively the "Data") is provided "as is" without warranty of any kind, either expressed, implied, or statutory. The user assumes the entire risk as to quality and performance of the Data. No guarantee of accuracy is granted, nor is any responsibility for reliance thereon assumed. In no event shall the State of Maryland be liable for direct, indirect, incidental, consequential or special damages of any kind. The State of Maryland does not accept liability for any damages or misrepresentation caused by inaccuracies in the Data or as a result to changes to the Data, nor is there responsibility assumed to maintain the Data in any manner or form. The Data can be freely distributed as long as the metadata entry is not modified or deleted. Any data derived from the Data must acknowledge the State of Maryland in the metadata.

Organization: State of Maryland
NOAA/WDS Paleoclimatology - Hartl - Nationalpark Kalkalpen, Schwarzkogel - ABAL - ITRDB AUT141

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 Austria, Western Europe. The time period coverage is from 173 to -59 in calendar years before present (BP). See metadata information for parameter and study location details. Please cite this study when using the data.

Tags: abal, abies alba mill., austria, biological records, climate indicators, continent, doc/noaa/nesdis/ncei, earth science, europe, european silver fir, land records, latitude 47.754, longitude 14.438, material: null, national centers for environmental information, nationalpark kalkalpen, nesdis, noaa, paleoclimate, paleoclimate indicators, schwarzkogel, silver fir, tree ring, tree rings, tree-ring, u.s. department of commerce, western europe, what: age, what: total ring width, width
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
NOAA/WDS Paleoclimatology - Hartl - Schliersee, Hausberg-Alm unten - PCAB - ITRDB DEU412

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 Germany, Western Europe. The time period coverage is from 151 to -59 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, earth science, europe, germany, hausberg-alm unten, land records, latitude 47.63, longitude 12.001, material: null, national centers for environmental information, nesdis, noaa, norway spruce, paleoclimate, paleoclimate indicators, pcab, picea abies (l.) h. karst., schliersee, tree ring, tree rings, tree-ring, u.s. department of commerce, western europe, what: age, what: total ring width, width
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
NOAA/WDS Paleoclimatology - Hartl - Schliersee, Hausberg-Alm unten - FASY - ITRDB DEU415

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 Germany, Western Europe. The time period coverage is from 140 to -59 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, common beech, continent, doc/noaa/nesdis/ncei, earth science, europe, european beech, fagus sylvatica l., fasy, germany, hausberg-alm unten, land records, latitude 47.63, longitude 12.001, material: null, national centers for environmental information, nesdis, noaa, paleoclimate, paleoclimate indicators, schliersee, tree ring, tree rings, tree-ring, u.s. department of commerce, western europe, what: age, what: total ring width, width
Organization: National Oceanic and Atmospheric Administration, Department of Commerce