cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.23719/1522872
title: Gonad Metabolomics and Blood Biochemical Analysis Reveals  Differences Associated with Testicular Oocytes in Largemouth Bass (Micropterus salmoides)

description: In the present study, features of gonad metabolite profiles associated with TO in largemouth bass (LMB, Micropterus salmoides) from an impoundment in Georgia (USA) were determined using GC–MS-based metabolomics. Clinical blood biochemical screens were used to evaluate markers of fish health associated with TO. Results suggest that physiological changes in energy expenditure as well as relatively ‘feminized’ gonad lipid and protein metabolism may be related to the occurrence of TO in male LMB, and highlight the need to understand relationships between intersex and physical stressors such as elevated temperature and hypoxia. These results provide novel insight to AOPs associated with TO and identify candidate analytes for biomarker discovery.
DOI: 10.23719/1520495
title: Dietary exposure to phenols

description: Dietary exposure of adults to phenols
DOI: 10.23719/1526514
title: KORUS_AQ 2016 Data Archive

description: Archived data for the 2016 KORUS-AQ study in South Korea.  Data may include non-EPA data generated on the DC-8 aircraft and both EPA and non-EPA data generated to ground based sites in the study area.
DOI: 10.23719/1526515
title: DISCOVER-AQ data archive

description: DISCOVER-AQ data archive containing Data from Baltimore MD, San Juaquin Valley CA, Houston TX, and Denver CO studies.  Data may be from NASA Aircraft and both EPA and non EPA ground based measurements.
DOI: 10.23719/1526470
title: The metagenome sequencing data have been deposited in the European Nucleotide Archive (ENA).

description: The raw sequencing data for this study have been deposited in the European Nucleotide Archive (ENA) at EMBL-EBI under accession number PRJEB40814 with the following BioSample numbers: SAMEA7465213 (sample DWDS A1), SAMEA7465214 (DWDS A2), SAMEA7465217 (DWDS B1), SAMEA7465218 (DWDS B2), SAMEA7465220 (DWDS C1), SAMEA7465221 (DWDS C2), SAMEA7465222 (DWDS D1), SAMEA7465223 (DWDS D2), SAMEA7465226 (DWDS E1), and SAMEA7465226 (DWDS E2).
DOI: 10.23719/1526441
title: StEWI v1.0.5 Data Products

description: Data products generated from StEWI v1.0.5. The source code and release notes can be found at https://github.com/USEPA/standardizedinventories/releases/tag/v1.0.5

Datasets include Flow-By-Facility, Flow-By-Process, Facility, and Flow data files for the EPA inventory sources and years listed in Table 7 of the associated publication. The dataset link directs to a page with a table with direct links to each dataset. These are the same datasets returned from the basic 'get...' functions using StEWI. Dataset are in Apache parquet format.
DOI: 10.23719/1527700
title: Sex ratio of Western Bluebirds (Sialia mexicana) is mediated by phenology and clutch size (dataset)

description: Mothers may produce more of one sex to maximize their fitness if there are differences in the cost of producing each sex or there are differences in their relative reproductive value. We tested if breeding date, clutch size and drought conditions influenced offspring sex ratios in Western Bluebirds (Sialia mexicana) from 1997 to 2017. We found that hatch dates late in the breeding season were associated with the production of more females. When clutch size was taken into account, small clutches yielded significantly more females late in the breeding season compared to the early and middle parts of the breeding season that produced significantly more males. Large clutches early in the season tended to produce more females, although this was not significant. Drought severity was not correlated with sex ratio adjustment.
DOI: 10.23719/1524735
title: Acrolein inhalation acutely affects the regulation of mitochondrial metabolism in rat lung

description: Exposure of the airways to cigarette smoke (CS) is the primary risk factor for developing several lung diseases such as Chronic Obstructive Pulmonary Disease (COPD). CS consists of a complex mixture of over 6000 chemicals including the highly reactive α,β-unsaturated aldehyde acrolein. Acrolein is thought to be responsible for a large proportion of the non-cancer disease risk associated with smoking. Emerging evidence suggest a key role for CS-induced abnormalities in mitochondrial morphology and function in airway epithelial cells in COPD pathogenesis. Although in vitro studies suggest acrolein-induced mitochondrial dysfunction in airway epithelial cells, it is unknown if in vivo inhalation of acrolein affects mitochondrial content or the pathways controlling this. In this study, rats were acutely exposed to acrolein by inhalation (nose-only; 0-4 ppm), 4 hours/day for 1 or 2 consecutive days (n=6/group). Subsequently, the activity and abundance of key constituents of mitochondrial metabolic pathways as well as expression of critical proteins and genes controlling mitochondrial biogenesis and mitophagy were investigated in lung homogenates. A transient decreasing response in protein and transcript abundance of subunits of the electron transport chain complexes was observed following acrolein inhalation. Moreover, acrolein inhalation caused a decreased abundance of key regulators associated with mitochondrial biogenesis, respectively a differential response on day 1 versus day 2. Abundance of components of the mitophagy machinery was in general unaltered in response to acrolein exposure in rat lung. Collectively, this study demonstrates that acrolein inhalation acutely and dose-dependently disrupts the molecular regulation of mitochondrial metabolism in rat lung. Hence, understanding the effect of acrolein on mitochondrial function will provide a scientifically supported reasoning to shortlist aldehydes regulation in tobacco smoke.
DOI: 10.23719/1527627
title: Datasets for manuscript "A Generic Scenario Analysis of End-of-Life Plastic Management: Chemical Additives"

description: This repository contains the data supporting the manuscript "A Generic Scenario Analysis of End-of-Life Plastic Management: Chemical Additives" (to be) submitted to the Energy and Environmental Science Journal https://pubs.rsc.org/en/journals/journalissues/ee#!recentarticles&adv
This repository contains Excel spreadsheets used to calculate material flow throughout the plastics life cycle, with a strong emphasis on chemical additives in the end-of-life stages. Three major scenarios were presented in the manuscript: 1) mechanical recycling (existing recycling infrastructure), 2) implementing chemical recycling to the existing plastics recycling, and 3) extracting chemical additives before the manufacturing stage.
Users would primarily modify values on the yellow tab "US 2018 Facts - Sensitivity". Values highlighted in yellow may be changed for sensitivity analysis purposes. Please note that the values shown for MSW generated, recycled, incinerated, landfilled, composted, imported, exported, re-exported, and other categories in this tab were based on 2018 data. Analysis for other years can be made possible with a replicate version of this spreadsheet and the necessary data to replace those of 2018.
Most of the tabs, especially those that contain "Stream # - Description", do not require user interaction. They are intermediate calculations that change according to the user inputs. It is available for the user to see so that the calculation/method is transparent. The major results of these individual stream tabs are ultimately compiled into one summary tab. All streams throughout the plastics life cycle, for each respective scenario (1, 2, and 3), are shown in the "US Mat Flow Analysis 2018" tab. For each stream, we accounted the approximate mass of plastics found in MSW, additives that may be present, and non-plastics. Each spreadsheet contains a representative diagram that matches the stream label. This illustration is placed to aid the user with understanding the connection between each stage in the plastics' life cycle.
For example, the Scenario 1 spreadsheet uniquely contains Material Flow Analysis Summary, in addition to the LCI. In the "Material Flow Analysis Summary" tab, we represented the input, output, releases, exposures, and greenhouse gas emissions based on the amount of materials inputted into a specific stage in the plastics life cycle.
The "Life Cycle Inventory" tab contributes additional calculations to estimate land, air, and water releases.
Figures and Data - A gs analysis on eol plastic management
This word document contains the raw data used to create all the figures in the main manuscript. The major references used to obtain the data are also included where appropriate.
DOI: 10.23719/1526338
title: Inversion emissions using Crl NH_3 measurements with bi and uni-directional  flux schemes outside data

description: The datasets in the links consist of European surface  NH3  measurements,  NHx  wet  deposition  measurements, (at  https://ebas.wp2.nilu.no/data-access/,    https://uk-air.defra.gov.uk/,    https://zenodo.org/record/4513855#.YRt41edBphE,  https://data.rivm.nl/data/luchtmeetnet/  [Dataset],  https://man.rivm.nl/,   https://www.bafu.admin.ch/bafu/en/home/topics/air/publications-studies/studies.html ,   and https://ebas.wp2.nilu.no/data-access/ ) and  satellite based CrIS CPFR Version 1.5 ammonia retrievals (https://hpfx.collab.science.gc.ca/~mas001/satellite_ext/cris/snpp/nh3/).
DOI: 10.23719/1524677
title: Data for changes in ozone chemical regime over CONUS inferred by the inversion of NOx and VOCn

description: The dataset was created by University of Houston. For details, please contact Jia Jung at helloiamjia@gmail.com.
DOI: 10.6084/m9.figshare.23819478
title: PET_run9_coal2_CO2_14hr

description: The sample is saturated with CO2 for 14 hr. Carrier gas is CO2.
DOI: 10.6084/m9.figshare.23819448
title: PET_run6_coal2_CH4_1

description: The sample is under CH4-saturated and dewatered condition. Carrier gas is CO2.
DOI: 10.6084/m9.figshare.23819478.v1
title: PET_run9_coal2_CO2_14hr

description: The sample is saturated with CO2 for 14 hr. Carrier gas is CO2.
DOI: 10.6084/m9.figshare.23819493
title: PET_run10_sand_dry

description: [11C]CO2 is injected into dry sample. Carrier gas is helium.
DOI: 10.6084/m9.figshare.23819493.v1
title: PET_run10_sand_dry

description: [11C]CO2 is injected into dry sample. Carrier gas is helium.
DOI: 10.23719/1519255
title: Diabetes control is associated with environmental quality in the U.S. 

description: Population-based county-level estimates for prevalence of DC were obtained from the Institute for Health Metrics and Evaluation (IHME) for the years 2004-2012 (16). DC prevalence rate was defined as the propor-tion of people within a county who had previously been diagnosed with diabetes (high fasting plasma glu-cose 126 mg/dL, hemoglobin A1c (HbA1c) of 6.5%, or diabetes diagnosis) but do not currently have high fasting plasma glucose or HbA1c for the period 2004-2012. DC prevalence estimates were calculated using a two-stage approach. The first stage used National Health and Nutrition Examination Survey (NHANES) data to predict high fasting plasma glucose (FPG) levels (≥126 mg/dL) and/or HbA1C levels (≥6.5% [48 mmol/mol]) based on self-reported demographic and behavioral characteristics (16). This model was then applied to Behavioral Risk Factor Surveillance System (BRFSS) data to impute high FPG and/or HbA1C status for each BRFSS respondent (16). The second stage used the imputed BRFSS data to fit a series of small area models, which were used to predict county-level prevalence of diabetes-related outcomes, including DC (16).
The EQI was constructed for 2006-2010 for all US counties and is composed of five domains (air, water, built, land, and sociodemographic), each composed of variables to represent the environmental quality of that domain. Domain-specific EQIs were developed using principal components analysis (PCA) to reduce these variables within each domain while the overall EQI was constructed from a second PCA from these individual domains (L. C. Messer et al., 2014). To account for differences in environment across rural and urban counties, the overall and domain-specific EQIs were stratified by rural urban continuum codes (RUCCs) (U.S. Department of Agriculture, 2015).
Results are reported as prevalence rate differences (PRD) with 95% confidence intervals (CIs) comparing the highest quintile/worst environmental quality to the lowest quintile/best environmental quality expo-sure metrics. PRDs are representative of the entire period of interest, 2004-2012. Due to availability of DC data and covariate data, not all counties were captured, however, the majority, 3134 of 3142 were utilized in the analysis
DOI: 10.6084/m9.figshare.23819472.v1
title: PET_run8_coal2_CO2_12hr

description: The sample is saturated with CO2 for 12 hr. Carrier gas is CO2.
DOI: 10.6084/m9.figshare.23813466.v1
title: PET_run3_coal1_dewatered_3

description: The sample is initially saturated with water. CO2 is injected into the sample after dewatering
DOI: 10.6084/m9.figshare.23819391.v1
title: PET_run4_coal2_dry_1

description: [11C]CO2 is injected into dry coal sample. Carrier gas is helium.
DOI: 10.6084/m9.figshare.23819418.v1
title: PET_run5_coal2_dry_2

description: [11C]CO2 is injected into dry sample. Carrier gas is Helium
DOI: 10.6084/m9.figshare.23819457
title: PET_run7_coal2_CH4_2

description: The sample is under CH4-saturated and dewatered condition. Carrier gas is CO2.
DOI: 10.6084/m9.figshare.23819457.v1
title: PET_run7_coal2_CH4_2

description: The sample is under CH4-saturated and dewatered condition. Carrier gas is CO2.
DOI: 10.6084/m9.figshare.23819472
title: PET_run8_coal2_CO2_12hr

description: The sample is saturated with CO2 for 12 hr. Carrier gas is CO2.
DOI: 10.6084/m9.figshare.23806179.v1
title: PET_run1_coal1_dewatered_1

description: The sample is initially saturated with water. [11C]CO2 is injected into the sample after dewatering. Carrier gas is CO2.<br>
DOI: 10.6084/m9.figshare.23813466
title: PET_run3_coal1_dewatered_3

description: The sample is initially saturated with water. CO2 is injected into the sample after dewatering
DOI: 10.6084/m9.figshare.23819391
title: PET_run4_coal2_dry_1

description: [11C]CO2 is injected into dry coal sample. Carrier gas is helium.
DOI: 10.6084/m9.figshare.23819418
title: PET_run5_coal2_dry_2

description: [11C]CO2 is injected into dry sample. Carrier gas is Helium
DOI: 10.6084/m9.figshare.23819448.v1
title: PET_run6_coal2_CH4_1

description: The sample is under CH4-saturated and dewatered condition. Carrier gas is CO2.
DOI: 10.23719/1527739
title: High-resolution coastal acidification monitoring data collected in seven estuaries along the US East Coast, US West Coast and Gulf of Mexico from 2015-04-23 to 2020-07-29

description: This dataset includes high-frequency (hourly to sub-hourly) coastal acidification time-series data collected during nine deployments in the aforementioned seven estuaries along the US East Coast, US West Coast and Gulf of Mexico from 2015-04-23 to 2020-07-29. These data include water temperature, salinity, partial pressure of carbon dioxide (pCO2) in water, dissolved oxygen (DO) in water, and pH on the total scale. The instruments used to collected these data include Sunburst SAMI-CO2, Pro-Oceanus CO2-Pro CV and a LiCOr LI-820 CO2 gas analyzers for autonomous pCO2 measurements, Sea-Bird SeapHOx and SeaFET instruments for pH measurements, Sea-Bird SeapHOx and Aanderaa Oxygen Optode instruments for DO measurements, and YSI water sensing instrument packages for measurements of conductivity (salinity), temperature and depth. Beginning in 2015, the U.S. Environmental Protection Agency’s (EPA) National Estuary Program (NEP) started a collaboration with partners in seven estuaries along the East Coast (Barnegat Bay; Casco Bay), West Coast (Santa Monica Bay; San Francisco Bay; Tillamook Bay), and the Gulf of Mexico (GOM) Coast (Tampa Bay; Mission-Aransas Estuary) of the United States to expand the use of autonomous monitoring partial pressure of carbon dioxide (pCO2) and pH sensors to evaluate carbonate chemistry in the estuarine environment.
DOI: 10.6084/m9.figshare.23806179
title: PET_run1_coal1_dewatered_1

description: The sample is initially saturated with water. [11C]CO2 is injected into the sample after dewatering. Carrier gas is CO2.<br>
DOI: 10.6084/m9.figshare.23806989
title: PET_run2_coal1_dewatered_2

description: The sample is initially saturated with water. CO2 is injected into the sample after dewatering.<br>
DOI: 10.6084/m9.figshare.23806989.v1
title: PET_run2_coal1_dewatered_2

description: The sample is initially saturated with water. CO2 is injected into the sample after dewatering.<br>
DOI: 10.23719/1526554
title: Data release for tempest1d: Recursive Estimation of Vertical Groundwater/Surface-Water Exchange using Heat Tracing

description: This data release provides a recursive-estimation framework to infer groundwater/surface-water exchange based on temperature time series collected at different vertical depths below the sediment/water interface.
DOI: 10.23719/1526511
title: NEEAR/SCCWRP/UCB recreational water studies

description: Deidentified datasets and water quality data from EPA, SCCWRP and UC Berkeley recreational water epidemiology studies
DOI: 10.23719/1527762
title: LMOS 2017 Data Archive

description: Publicly accessible data archive containing EPA and non-EPA generated data for the 2017 Lake Michigan Ozone Study
DOI: 10.23719/1527744
title: Locations and numbers of past producing metal and coal mining projects

description: Locations and numbers of past producing metal and coal mining projects in NW US and Canada
DOI: 10.23719/1527764
title: Quantitative Assessment of Stream and River Physical Habitat Condition

description: The 4 resource surveys (coastal, rivers and streams, lakes and reservoirs, and wetlands) each have datasets covering the biological, chemical, physical habitat, hydrologic and watershed data.
DOI: 10.6084/m9.figshare.23949525
title: X-Ray micro CT of Coal sample 1 for 4D PET imaging of [11C]CO2 flow dynamics in coal

description: .zip file of 19.tif stacks containing the X-Ray micro CT image of coal sample 1 used in the 4D PET imaging of [11C]CO2 flow dynamics in coal.
DOI: 10.6084/m9.figshare.23949525.v1
title: X-Ray micro CT of Coal sample 1 for 4D PET imaging of [11C]CO2 flow dynamics in coal

description: .zip file of 19.tif stacks containing the X-Ray micro CT image of coal sample 1 used in the 4D PET imaging of [11C]CO2 flow dynamics in coal.
DOI: 10.23719/1527810
title: Anthropogenic factors associated with contaminants of emerging concern detected in inland Minnesota lakes (Phase II)

description: Data associated with this publication can be found at the University of Minnesota's Data Repository for U of M (DRUM).
DOI: 10.23719/1527828
title: Estimating Biofuel Contaminant Concentration from 4D ERT with Mixing Models

description: The data are ground penetrating radar, electrical resistivity, and interpretation data.
DOI: 10.23719/1526375
title: Integrating Data From In Vitro New Approach Methodologies for Developmental Neurotoxicity

description: This dataset consists of data from in vitro developmental neurotoxicity new approach methodologies (DNT-NAMs). Assays include evaluations of proliferation, apoptosis, viability, neurite outgrowth, synaptogenesis and network formation. A variety of cell models are utilized depending on the assay, and each assay may have multiple endpoints. Data have been collected and evaluated using the ToxCast PipeLine (tcpl).
DOI: 10.23719/1523367
title: PROPERTY VALUES AND CYANOBACTERIA

description: EPA generated data included satellite detections of cyanobacteria frequency that was previously published in  https://www.sciencedirect.com/science/article/pii/S1470160X21004878. All other data and analysis was through co-authors at University of Wisconsin-Madison.
DOI: 10.23719/1524803
title: Comparison of RT-qPCR and ATOPlex sequencing for the sensitive detection of SARS-CoV-2 RNA for wastewater surveillance

description: Process limit of detection data for four SARS-CoV-2 RT-qPCR assays and ATOPLex sequencing platform
DOI: 10.23719/1517656
title: Bacterial diversity and predicted enzymatic function in a multipurpose surface water system – from wastewater effluent discharges to drinking water production

description: 1. All OTUs (operational taxonomic units) raw sequences
2. Bacterial taxonomic structures at class and phylum level
3. Analytical data generated by multiple bioinformatics analyses
DOI: 10.25345/c5jw86z10
title: MassIVE MSV000092657 - GNPS dataset five salvia species massive 2
title: This is a project of salvia species for metabolomics
DOI: 10.23719/1527932
title: A chemical prioritization process: Applications to contaminants of emerging concern in freshwater ecosystems (Phase I)

description: Supporting data for "A chemical prioritization process: Applications to contaminants of emerging concern in freshwater ecosystems (Phase 1)". These data describe contaminants of emerging concern (CECs) detected in subsistence fish species and freshwater ecosystems on the Grand Portage Indian Reservation and adjacent 1854 Ceded Territory in Northeastern Minnesota, USA. They also contain chemical-specific information, including acute toxicity, endocrine activity, physicochemical properties, and frequency of occurrence data used to prioritize detected CECs based on their potential environmental hazard.
DOI: 10.23719/1524736
title: Datasets for manuscript: ADAM: A Web Platform for Graph-Based Modeling and Optimization of Supply Chains

description: # ADAM-Data-Repository
This repository contains all the data needed to run the case studies for the ADAM manuscript.

## Biogas production
The directory "biogas" contains all data for the biogas production case studies (Figs 13 and 14). Specifically, "biogas/biogas_x" contains the data files for the scenario where "x" is the corresponding Renewable Energy Certificates (RECs) value. 

## Plastic waste recycling
The directory "plastic_waste" contains all data for the plastic waste recycling case studies (Figs 15 and 16). Different scenarios share the same supply, technology site, and technology candidate data, as specified by the "csv" files under "plastic_waste". Each scenario has a different demand data file, which is contained in "plastic_waste/Elec_price" and "plastic_waste/PET_price".

## How to run the case studies
In order to run the case studies, one can create a new model in ADAM and upload appropriate CSV file at each step (e.g. upload `biogas/biogas_0/supplydata197.csv` in step 2 where supply data are specified).
DOI: 10.23719/1520552
title: ESCO Manuscript data

description: Landsat geo-referenced data and maps
DOI: 10.23719/1528056
title: Incorporating New Technologies in EEIO Models - Case Study Input Data

description: The dataset includes three input data file used in modeling woody-based biofuels in the USEEIO framework. The files are referenced in the model specification .yml file within that defines new technologies within useeior here https://github.com/USEPA/useeior/tree/19e0898f0a0c1b50a62a589017ea45924b85add5/inst/extdata/newTechspecs. 
These technologies and the procedures for modeling the biofuels based on them within USEEIO is described in the associated manuscript.
DOI: 10.23719/1520710
title: Riparian groundwater quality

description: Surface water and groundwater chemistry collected at 5 urban stream study sites
DOI: 10.23719/1527968
title: spmodel data

description: This data in publicly available environmental data that showcases the spmodel R package.
DOI: 10.23719/1524689
title: Planet agreement under NASA Commercial Smallsat Data Acquisition EULA

description: Planet agreement under NASA Commercial Smallsat Data Acquisition EULA
https://cdn.earthdata.nasa.gov/conduit/upload/17170/Planet_Expanded_EULA_06-21.pdf