cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.23719/1529541
title: Mangrove Database of CONUS 1980-2020

description: Readme.txt
Directory name: Final Mosaic. These datasets were prepare using Landsat Satellite Data.  
File path:L:\Public\Mangrove\CONUS\change analysis\Mosaic\Final Mosaic
This directory has the following files
1980_mosaicf.img
1985_mosaicf.img
1990_mosaicf.img
1995_mosaicf.img
2005_mosaicf.img
2015_mosaicf.img
2020_mosaicf.img
The datas are in ERDAS Imagine format with the following details.
Data Type: unsigned 4bit
Type: Thematic
Spatial Resolution=30m
Projection=Geographic (lat/long)
Spheroid: WGS84
Datum: WGS84
EPSG CODE:4326
DOI: 10.23719/1529755
title: Demonstration of the Sequence Alignment to Predict Across Species Susceptibility Tool for Rapid Assessment of Protein Conservation

description: Data file for "Vliet SMF, Hazemi M, Blatz D, Jensen M, Mayasich S, Transue TR, Simmons C, Wilkinson A, LaLone CA. Demonstration of the Sequence Alignment to Predict Across Species Susceptibility Tool for Rapid Assessment of Protein Conservation. J Vis Exp. 2023 Feb 10;(192). doi: 10.3791/63970. PMID: 36847398."
DOI: 10.23719/1529756
title: Sahle_SDMP_FRAGMENTATION Epoxy-with MWCNT

description: Data include changes in aging of weathered materials using optical macroscopy, Raman and FTIR spectroscopy, thermogravimetric analysis and Scanning electron microscopy. The release of fragments and particles were determined using imaging methods. The influence NPs interaction with the polymer matrix on their environmental release has not been well studied. The current paper focuses on some analytical techniques suitable for evaluating the effects of weathering on the detection and characterization of NPs, including Fourier transforms infrared spectroscopy (FT-IR), optical microscopy, contact angle measurements, gravimetric analysis, confocal microscopy, transmission electron microscopy (TEM), scanning electron microscopy (SEM) and Raman spectroscopy. The study also includes the toxicity of released particles and organic compounds.
DOI: 10.23719/1529808
title: Data for: Leveraging scientific community knowledge for air quality model chemistry parameterizations

description: Files contain values from Figures 1, 2, and 3 of the article by Pye et al., "Leveraging scientific community knowledge for air quality model chemistry parameterizations," scheduled for publication in EM in January 2024. Figures 2 and 3 are available in csv and excel spreadsheet format. Figure 1 is only available in spreadsheet format. Figure 1 shows gas and aerosol-phase chemistry representations in CMAQ since 2010. Figure 2 shows ozone and SOA formation potential (in g/g) for CRACMM species. Figure 3 shows the size (number of species and reactions) for various chemical mechanisms.
DOI: 10.23719/1529906
title: Effects of multi-walled carbon nanotubes on gene and microRNA expression in human hepatocarcinoma HepG2 cells 

description: Dataset for 'Effects of multi-walled carbon nanotubes on gene and microRNA expression in human hepatocarcinoma HepG2 cells' by Sheau-Fung Thai et al., accepted by Materials Express. 

For the data set:

DEG: differentially expressed genes
33-MWCNT: parent MWCNT
55-OH-MWCNT: MWCNT modified with -OH group
66-COOH-MWCNT: MWCNT modified with -COOH group.
MWCNT_66_30 means cells treated with 66-COOH-MWCNT at 30 microgram/ml
DOI: 10.23719/1529941
title: National Employment Totals by Industry 2018 v2.0.0

description: This dataset contains 2018 national employment by North American Industry Classification System (NAICS) 2012 6-digit codes. This dataset was generated with FLOWSA v2.0.0 (https://github.com/USEPA/flowsa/releases/tag/v2.0.0) and the method file https://github.com/USEPA/flowsa/blob/v2.0.0/flowsa/methods/flowbysectormethods/Employment_national_2018.yaml. The metadata text file included as a supporting document records the FLOWSA tool version and input dataset bibliographic details.
DOI: 10.23719/1530105
title: K means clustering the opportunity atlas 2023APR

description: All code and input files used in k-means clustering analysis of Opportunity Atlas data
DOI: 10.23719/1531867
title: SENTINEL: A Shiny App for Processing and Analysis of Fenceline Sensor Data

description: Datasets used to generate figures and sample runs in the SENTINEL application in the journal article "SENTINEL: A Shiny App for Processing and Analysis of Fenceline Sensor Data"
DOI: 10.23719/1520781
title: Evaluation of quantitative structure property relationship algorithms for predicting plasma protein binding in humans-UW-QSPR-Supplementary data

description: Observed fup data obtained from the literature; SMILES structures obtained from Pubchem SDF files.
DOI: 10.23719/1521328
title: National Commercial Hazardous Waste Totals by Industry 2017

description: This dataset contains 2017 national Commercial RCRA-defined Hazardous Waste by North American Industry Classification System (NAICS) 2012 6-digit codes. This dataset was created in FLOWSA, a publicly available python package that generates standardized environmental flows by industry.
DOI: 10.23719/1522412
title: WaterAPT article dataset

description: Input tables used to generate the output, i.e., technology ranking in the manuscript.
DOI: 10.23719/1522620
title: Sub-lethal and Lethal Methods to Detect Recent Imidacloprid Exposure in Birds with Application to Field Studies

description: The dataset includes information on birds used in the study and the samples collected as well as imidacloprid and imidacloprid metabolite data. The first author should be contacted prior to using these data at charlotte.roy@state.mn.us
DOI: 10.23719/1522636
title: Designing QSARs for Parameters of High-Throughput Toxicokinetic Models Using Open-Source Descriptors

description: Additional details used in the methods are found in the MS Word file “S1_Dawson et al._Supporting_Information.docx”. The MS Excel file “S2_Dawson et al. Supporting Information.xlsx” contains datasets and graphical results.  The Excel file sheets are as follows: S2.1 illustrates Clint hepatic flow calculations, S2.2 - 5 include training and test data sets; S2.6-7 include figures illustrating Clint  model selection criteria and assemblages of model descriptors; S2.8 includes confusion matrices for evaluation Clint model,  S2.9-10 include figures illustrating fup model selection criteria and assemblages of model descriptors (with ranges); S2.11 includes tables of model assessments of the Clint test set, S2.12 includes information relevant to BER calculations for the ToxCast test set, S2.13 includes information relevant to BER calculations for Tox21 chemicals, and S2.14 provides information on different transformations for fup.
DOI: 10.23719/1522897
title: Data for "Characterizing Nitrogen Oxides and Fine Particulate Matter Near Major Highways in the United States Using the National Near-Road Monitoring Network"

description: This dataset represents the raw hourly, daily, and design value data used in this article.  All of the data was downloaded from EPA's Air Quality System (AQS) with the exception of the list of near-road sites which was downloaded from https://www.epa.gov/amtic/no2-monitoring-near-road-monitoring.  The datasets are named based on their AQS parameter code (see https://www.epa.gov/aqs/aqs-code-list), averaging time, and years included.
DOI: 10.23719/1523034
title: DWH cast dataset

description: This dataset was generated from mined, secondary data collected during the Deepwater Horizon oil spill subsea dispersed oil monitoring. Teh secondary is publicly available from:

BP Gulf Science Data (2019) Chemistry data associated with water column samples collected in the Gulf of Mexico from May 2010 through July 2012. Distributed by: Gulf of Mexico Research Initiative Information and Data Cooperative (GRIIDC), Harte Research Institute, Texas A&M University-Corpus Christi. doi:10.7266/N747489X.
DOI: 10.23719/1523158
title: Chamber study 2021 measurement data

description: High time resolution (10 s) chamber study burn emission measurements and commercial laboratory fuel analysis reports.
DOI: 10.23719/1523162
title: N-recyle-dataset

description: The data contained in the worksheet provides the quantity data of Cyanobacterial 16S sequences, qPCR and water quality parameters.
DOI: 10.23719/1523338
title: 3D Printer Emissions Base Data for 3D Printer Particle Emissions: Translation to Internal Dose in Adults and Children 060619-061019

description: This dataset contains the raw data output from measurements of 3D printer emissions using both ABS and PLA feedstocks.
DOI: 10.23719/1523381
title: Science Hub for Stoner et al. 2021_V1

description: This dataset details the types of pollen collected by honey bees located on the grounds of two ornamental plant nurseries in Connecticut.
DOI: 10.23719/1523393
title: Identifying and Evaluating Vapor Intrusion through Preferential Migration Routes and Points of Entry into Buildings

description: All data for the EPA Report, Identifying and Evaluating Vapor Intrusion through Preferential Migration Routes and Points of Entry into Buildings.
DOI: 10.23719/1524095
title: Predicting compound amenability with liquid chromatography-mass spectrometry to improve non-targeted analysis

description: The dataset and experimental and predicted amenability calls are provided in the supplemental file “Supplemental_ToxCast_PhaseII.xlsx”.

PaDEL descriptors were generated for each candidate and amenability predictions were calculated using both ESI+ and ESI- downsampled models.  The resulting dataset is available in the supplemental file “Supplemental_Application.xlsx”.
It should be noted that the dataset used in this demonstration is biased toward environmentally relevant chemicals, many of which appear in a large number of chemical lists on the Dashboard (see the DATA_SOURCES column in “Supplemental_Application.xlsx” for both ESI+ and ESI-).  

Training and test datasets were constructed using the PaDEL descriptors and the ESI+ and ESI- endpoint values discussed previously. These training and test sets are provided in the supplemental file “Supplemental_train_test.xlsx”.

A list of descriptors is provided in the supplemental file “Supplemental_Descriptors.xlsx”.

A similar plot (Figure S1) of variable importance for the ESI+ upsampled model, and a similar plot (Figure S2) of variable importance for the ESI- upsampled model can be found in “Supplemental_Figures.docx”.
DOI: 10.23719/1524246
title: Harmonization of sediment diatoms from hundreds of lakes in the northeastern United States

description: Sediment diatoms are widely used to track environmental histories of lakes and their watersheds, but merging datasets generated by different researchers for further large-scale studies is challenging because of the taxonomic discrepancies caused by rapidly evolving diatom nomenclature and taxonomic concepts. Here we collated five datasets of lake sediment diatoms from the northeastern USA using a harmonization process which included updating synonyms, tracking the identity of inconsistently identified taxa and grouping those that could not be resolved taxonomically. 

The Dataset consists of four Microsoft Excel workbooks (.xlsx), a Compressed (.zip) file with R code and four output Comma Separated Values (.csv) files, and a Portable Document Format (.pdf) file of the Voucher Flora. 

The file Counts_original_long_102421.xlsx contains original diatom count data in long format. 
The file Harmonization_102421.xlsx is the taxonomic harmonization scheme with notes and references. 
The file SiteInfo_102421.xlsx contains sampling site- and sample-level information and file Slide_accession_numbers_102421.xlsx has slide accession numbers in the ANS Diatom Herbarium. 

The Voucher Flora documents the morphological species concepts in the dataset using diatom images compiled into plates NE_Lakes_Voucher_Flora_102421.pdf and the translation scheme of the OTU codes to diatom scientific or provisional names with identification sources, references and notes (VoucherFloraTranslation_102421.xlsx). 

R code (DiatomHarmonization_102821.R) was used to apply the harmonization scheme to the original diatom counts to produce the output files. The resulting output files are four wide format files containing diatom count data at different harmonization steps (Counts_1327_wide.csv, Step1_1327_wide.csv, Step2_1327_wide.csv, Step3_1327_wide.csv). 

The harmonization scheme (Harmonization_102421.xlsx) can be further modified based on additional taxonomic investigations, while the associated R code (DiatomHarmonization_102821.R) provides a straightforward mechanism to diatom data versioning. 

The files are provided here to make them accessible to the public for the purpose of confidential peer review by a scientific journal.
DOI: 10.23719/1524251
title: Benchmark Dose Modeling Approaches for Volatile Organic Chemicals using a Novel Air-Liquid Interface In Vitro Exposure System

description: Whole transcriptomics dose response data is collected and storedthrough public facing Gene Expression Omnibus database.
Raw collected viability/cytotoxicity data for each chemical are collected and presented on separate spreadsheets
DOI: 10.23719/1524311
title: USEEIO v2.0.1-411

description: This dataset provides the waste sector disaggregation data, model component matrices, model result matrices, model price adjustment matrices, demand vectors,  and associated metadata for the USEEIO v2.0.1-411 model. This model was generated using useeior v1.0.0 (https://github.com/USEPA/useeior/tree/v1.0.0/) by calling the buildModel() function and passing "USEEIOv2.0.1-411" as the model. This uses the model configuration file, which can be found @ https://github.com/USEPA/useeior/blob/v1.0.0/inst/extdata/modelspecs/USEEIOv2.0.1.yml.  The model is named according to the USEEIO model versioning scheme, https://github.com/USEPA/USEEIO/blob/8a43f7f5f847fe1ca6dadca3c433bceb3f29981b/VersioningScheme.md. The resulting model was exported using the writeModeltoXLSX() function to create this dataset. The waste disaggregation data are required for model building and also embedded in useeior. The generateModelIdentifier() function was used on the same model create the model identifier. The US dollar (USD) year for the model data, where USD is used, is 2012. See any additional notes in Contents on specific components. A complete description can be found in the associated manuscript.
DOI: 10.23719/1524314
title: National Land Occupation Totals By Industry 2012 v1.1

description: This dataset contains 2012 national-level land occupation totals by North American Industry Classification System (NAICS) 2012 6-digit codes. This dataset was generated with FLOWSAv1.0.0 by calling the getFlowBySector() function and passing "Land_national_2012" as the method name. FLOWSA is a publicly available python package that generates standardized environmental flows by industry (https://github.com/USEPA/flowsa/releases/tag/v1.0.0). The metadata text file included as a supporting document records the FLOWSA tool version and input dataset bibliographic details.
DOI: 10.23719/1524657
title: Dataset for "Development and Application of Liquid Chromatographic Retention Time Indices in HRMS-Based Suspect and Nontarget Screening"

description: Dataset for "Development and Application of Liquid Chromatographic Retention Time Indices in HRMS-Based Suspect and Nontarget Screening"
DOI: 10.23719/1526326
title: Model Results

description: The data is an output from SLOPE/W that looks at slope failure as a result of landfill pressures
DOI: 10.23719/1526381
title: Lake and landscape dataset used for analyses in Natural and anthropogenic controls on lake water-level decline and evaporation-to-inflow ratio in the conterminous US study-Fergus Limnology and Oceanography 2022

description: Lake and landscape data were compiled from the US Environmental Protection Agency National Lakes Assessment 2007 and 2012 surveys and LakeCat geospatial dataset. Additional climate variables were summarized from national PRISM and NOAA data layers following the same geoprocessing steps used in the LakeCat creation. The compiled dataset includes a derived metric that characterizes the degree of human-related water management presence on a lake that has the potential to significantly alter lake hydrology. The HydrAP metric (anthropogenic hydrological-alteration potential) uses information from the National Inventory of Dams and National Land Cover Database and is described in detail in Fergus et al. 2021. 

The compiled dataset includes all lake sites in the NLA 2007 survey and only new lake sites in NLA 2012 (i.e., not resampled lake sites during the two survey periods). We retained VISIT_NO = 1 observations for the analyses for a total of 1716 observations for unique lake sites distributed across the conterminous US.
DOI: 10.23719/1526407
title: Uncertainty Estimation Strategies for Quantitative Non-Targeted Analysis

description: N/A
DOI: 10.23719/1526409
title: Impact of the changes in bacterial outer membrane structure on the anti-bacterial activity of zinc oxide nanoparticles

description: The file contains the raw data that was used to generate Figure 2 and 4 from the manuscript Surwade, P., Luxton, T., Clar, J., Xin, F. and Shah, V.H. (2020) Impact of the changes in bacterial outer membrane structure on the anti-bacterial activity of zinc oxide nanoparticles. J. Nanopart. Res. 22, 8.
DOI: 10.23719/1526412
title: Vadose Zone Corvallis

description: This field study was designed to test different methods for measuring water and nutrient transport throughout the vadose zone. A pilot study was implemented to determine the feasibility of approach for comparing the impact of interseeding a cover crop into the sweet corn crop versus conventionally managing the sweet corn, without a cover crop. The field experiment was established in June 2016 with the uniform planting of a sweet corn crop across the whole ~2 ac site. In September 2016, monitoring networks were installed in two subfields, North and South, consisting of groundwater wells and vadose zone instrumentation installed near the center of each. Water was sampled every two weeks beginning in October 2016 and analyzed for a suite of nutrients and stable isotopes. We present four years of such nutrient data, along with post-harvest soil data, collected each September after plant harvest. Thus, the data reported herein comes from different measurement methods (monitoring wells, vadose zone lysimeters, post-harvest soil tests) that can be utilized when trying to understand hydrologic nitrate transport in the vadose zone and groundwater.
DOI: 10.23719/1526415
title: Premise Plumbing Water Age Study

description: Summary of simulated water age results associated with Monte Carlo simulations conducted on 3 real world homes.
DOI: 10.23719/1526416
title: NRSA 2013-2014 ARG Dataset

description: ARG, intI1, fecal indicator bacteria PCR data
DOI: 10.7910/dvn/hht0tn
title: Supplementary data for "An inclusive, empirically grounded inventory facilitates recognition of diverse area-based conservation of nature"

description: &lt;p&gt;Replication data for "An inclusive, empirically grounded inventory facilitates recognition of diverse area-based conservation of nature"&lt;/p&gt;

&lt;p&gt;Authors: Siyu Qin, Yifan He , Rachel E. Golden Kroner , Sushma Shrestha ,
Bruno Henriques Coutinho, Marion Karmann , Juan Carlos Ledezma , Christian
Martinez, Vilisa Morón-Zambrano , Roberto Ulloa , Edgard Yerena , Curtis Bernard ,
Joseph W. Bull , Eddy Mendoza , Nyls de Pracontal, Katie Reytar , Peter Veit , Erik
Olsson , Clara L. Matallana-Tobón , Liz Alden Wily , Michael B. Mascia&lt;/p&gt;

&lt;p&gt;Note: This repository includes all sharable datasets, including:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;S1. Attributes collected (Excel)&lt;/li&gt;
&lt;li&gt;S2. Data Sources for Area-based Conservation Governance Systems in Amazonia (Excel)&lt;/li&gt;
&lt;li&gt;S3. Category Assignment for Area-based Conservation Governance Systems in Amazonia (Excel)&lt;/li&gt;
&lt;li&gt;S4. Point and non-spatial data of area-based conservation governance systems in Amazonia&lt;/li&gt;
&lt;li&gt;S5. Sharable spatial data of Area-based Conservation Governance Systems in Amazonia &lt;/li&gt;
&lt;/ul&gt; 

&lt;p&gt;In S5, we have included the shapefile of all datasets that we have legal permission to share publicly in Data_S5. We are unable to share part of the data via shapefile or online maps due to the sharing restrictions imposed by data owners. Most of these non-sharable data are from the WDPA, which is publically accesible via Protected Planet (https://www.protectedplanet.net/en). We have provided the data source information in Data_S2 which would enable readers to track all datasets. &lt;/p&gt;



&lt;p&gt;Replication code and pre-processed data (e.g. summary statistics) used to produce all tables and figures in the manuscript are found in Github repository: https://github.com/florayh/conservationinventory.git &lt;/p&gt;
DOI: 10.7910/dvn/ovzmxf
title: SFig.16 Data

description: SFig.16 Data from "Systematic characterization of maturation time of fluorescent proteins in living cells"
DOI: 10.7910/dvn/pbifuo
title: Replication Data for "Women in parliament and maternal mortality: longitudinal analysis of 156 countries during 1990-2010", by Bhalotra, Clarke, Gomes and Venkataramani

description: This dataset is used to generate all results and tables for the paper "Women in parliament and maternal mortality: longitudinal analysis of 156 countries during 1990-2010" by Sonia Bhalotra, Damian Clarke, Joseph F. Gomes and Atheendar Venkataramani (authors in alphabetical order). Analysis from the paper suggests that greater representation of women in national legislatures is associated with large reductions in maternal mortality.
DOI: 10.7910/dvn/t5roou
title: Massachusetts Archives Collection. v.30-Indian, 1603-1705. SC1/series 45X, Petition of Jeremiah Belcher

description: &lt;p&gt;Petition subject: Court cases &lt;/p&gt; &lt;p&gt;Original: &lt;a href="http://nrs.harvard.edu/urn-3:FHCL:13906001"&gt;http://nrs.harvard.edu/urn-3:FHCL:13906001&lt;/a&gt; &lt;/p&gt; &lt;p&gt;Date of creation: 1654 &lt;/p&gt; &lt;p&gt;Selected signatures:&lt;ol&gt;&lt;li&gt;Jeremiah Belcher&lt;/li&gt;&lt;/ol&gt; &lt;/p&gt; &lt;p&gt;Actions taken on dates: 1654-11-06 &lt;/p&gt; &lt;p&gt;Legislative action: Voted by the magistrates to abate fine on November 6, 1654 and confirmed by the deputies &lt;/p&gt; &lt;p&gt;Total signatures: 1 &lt;/p&gt; &lt;p&gt;Legislative action summary: Voted, confirmed &lt;/p&gt; &lt;p&gt;Legal voter signatures (males not identified as non-legal): 1 &lt;/p&gt; &lt;p&gt;Female only signatures: No &lt;/p&gt; &lt;p&gt;Prayer format was &lt;a href="http://en.wikipedia.org/wiki/Printing"&gt;printed&lt;/a&gt; vs. &lt;a href="http://en.wikipedia.org/wiki/Manuscript"&gt;manuscript&lt;/a&gt;: Manuscript &lt;/p&gt; &lt;p&gt;Additional archivist notes: liquor &lt;/p&gt; &lt;p&gt;Location of the petition at the Massachusetts Archives of the Commonwealth: Massachusetts Archives volume 30, pages 70-70b &lt;/p&gt; &lt;p&gt;Acknowledgements: Supported by the National Endowment for the Humanities (PW-5105612), Massachusetts Archives of the Commonwealth, Radcliffe Institute for Advanced Study at Harvard University, Center for American Political Studies at Harvard University, Institutional Development Initiative at Harvard University, and Harvard University Library.&lt;/p&gt;
DOI: 10.7910/dvn/6b9c1n
title: Replication Data for: "Counting the Pinocchios: The Effect of Summary Fact-Checking Data on Perceived Accuracy and Favorability of Politicians"

description: Replication materials include the Stata do file, three .dta files for each study in the paper, and a PDF file describing each file and how to carry out the replication.