cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5063/f1qf8r2g
title: Alaska Federal Subsistence Board Proposals 2000-2015

description: The Federal Subsistence Board (FSB) is the decision-making body that oversees the Federal Subsistence Management Program. Board members include the regional directors of the U.S. Fish and Wildlife Service, National Park Service, Bureau of Land Management, Bureau of Indian Affairs, the U.S. Forest Service, in addition to three public members appointed by the Secretaries of the Interior and Agriculture. Two of these public members represent rural subsistence users and one is the Federal Subsistence Board chairman. The Federal Subsistence Board has been delegated the authority to manage fish and wildlife for subsistence uses on federal public lands and waters in Alaska. Subsistence users can submit proposals to change existing Federal subsistence regulations for the taking of fish and shellfish on Federal public lands in Alaska. The board incorporates input from Regional Advisory Councils (RACs), the Office of Subsistence Management (OSM), the Alaska Department of Fish and Game (ADFG), and public comments, into the decision of whether to carry or fail a proposal. Once the Board makes its decisions, it will publish the changes as final regulations for that cycle of regulatory years and distribute the regulation book throughout Alaska. This dataset summarizes proposal information taken from proposal results logs, FSB meeting books, and meeting transcripts. Data are presented in tabular format for easier digestion of some basic aspects of the proposals (who proposed it, a short description, whether it passed, who supported it, what region/species are affected, etc.) More details on the coding process are found in the included text document.
DOI: 10.5281/zenodo.1342168
title: bin3C - simulated community and associated sequencing datasets

description: We simulated a human gut microbiome comprising 63 genomes from the GTDB annotated with an isolation source of faeces. No two genomes are more than 96% similar in terms of ANI. A Generalized Pareto distribution was used to model an abundance profile, which was assigned in random order to the references. There is a 50:1 difference between the most and least abundant member. Illumina shotgun and Hi-C reads were simulated using MetaART and sim3C (https://github.com/cerebis/sim3C). A sweep was performed over depth of coverage, by serially subsampling initial high depth readsets. Shotgun depth was parameterised by the most abundant at 250x, while Hi-C was parameterised by the number of pairs (200 million pairs). Shotgun was subsampled once, at half depth (125x), while Hi-C was subsampled 4 times (12.5, 25, 50, 100, 200 million pairs). The random seed used throughout was 12345. These simulated readsets were then analyzed using bin3C to retrieve metagenome-assembled genomes (MAGs). The resulting genome bins were validated using CheckM to estimate completeness and contamination.
DOI: 10.5281/zenodo.1342169
title: bin3C - simulated community and associated sequencing datasets

description: We simulated a human gut microbiome comprising 63 genomes from the GTDB annotated with an isolation source of faeces. No two genomes are more than 96% similar in terms of ANI. A Generalized Pareto distribution was used to model an abundance profile, which was assigned in random order to the references. There is a 50:1 difference between the most and least abundant member. Illumina shotgun and Hi-C reads were simulated using MetaART and sim3C (https://github.com/cerebis/sim3C). A sweep was performed over depth of coverage, by serially subsampling initial high depth readsets. Shotgun depth was parameterised by the most abundant at 250x, while Hi-C was parameterised by the number of pairs (200 million pairs). Shotgun was subsampled once, at half depth (125x), while Hi-C was subsampled 4 times (12.5, 25, 50, 100, 200 million pairs). The random seed used throughout was 12345. These simulated readsets were then analyzed using bin3C to retrieve metagenome-assembled genomes (MAGs). The resulting genome bins were validated using CheckM to estimate completeness and contamination.
DOI: 10.5281/zenodo.1342458
title: Ecological traits of the world's primates database

description: Here we present a database on some important ecological traits of the world’s primates, including home range size, locomotion type, diel activity, trophic guild, body mass, habitat type, current conservation status, population trend, and geographic realm. We compiled this information through a review of 1216 studies published between 1941 and 2018, resulting in a comprehensive, easily accessible and user-friendly database.
description: This version shows the corrected Cebus yucarus body mass
DOI: 10.21223/p3/s3hun0
title: Dataset for: Viable Sweetpotato Technologies in Africa (VISTA) Endline Survey

description: Orange-fleshed sweetpotato (OFSP) as a staple food providing necessary body energy in the human diet besides significant amounts of Vitamin A addressing both Vitamin A deficiency (VAD) and body energy needs unlike other sweetpotato types. The Viable Sweetpotato Technologies in Africa (VISTA) – Tanzania project was designed to expand the production and utilization of nutritious OFSP into seven districts in Mbeya, Iringa and Morogoro regions which were part of USAID’s Feed the Future (FTF) zones of influence (ZOI). An End line survey was conducted in August to September 2017 with the major objective of measuring the changes achieved as compared to the baseline survey conducted in October to November 2015 before the project intervention was initiated among the beneficiaries. Key areas of measurement included: knowledge on sweetpotato and OFSP production and farming practices among households; knowledge on Vitamin A and Vitamin A rich foods including OFSP; contribution of OFSP to improved Vitamin A intake among households; and consumption of OFSP and other Vitamin A rich foods by caregivers and children aged 6-59 months old.
DOI: 10.5066/f7fn155w
title: Macrobenthic infaunal communities associated with deep-sea hydrocarbon seeps in the Gulf of Mexico, 2009-2010

description: These data represent several benthic cores collected near chemosynthetic seep habitats during 2009 and 2012. Sediment cores were collected near several natural hydrocarbon seeps with ROV deployed push cores. The purpose of these samples is to examine benthic communities associated with natural hydrocarbon seepage in the deep sea as well as compare these communities to areas associated with the Deepwater Horizon oil blowout. Samples were collected in the northern Gulf of Mexico, mostly south of Louisiana, and at depths ranging from 500 to 2600 meters. Sample processing and species identification occurred from 2014 - 2016. Macrofauna (&gt;300 um) were identified to the lowest taxonomic unit.
DOI: 10.5066/p99nei4e
title: Occurrence records and vegetation type data used for species distribution models in the western United States

description: These data are species distribution information assembled for assessing the impacts of land-use barriers, facilitative interactions with other species, and loss of long-distance animal dispersal on predicted species range patterns for four common species in pinyon-juniper woodlands in the western United States. The layers in the data release are initial distribution records of two kinds: point occurrence records and a raster layer for the general vegetation types where the species is a co-dominant, compiled from other sources. Both types of data are the baseline information in species distribution models for the associated publication.
DOI: 10.18739/a2p843v7g
title: Surface Mass Balance and Snow Depth on Sea Ice Working Group (SUMup) snow depth on sea ice subdataset, Antarctica and Baltic Sea, 1990-2018
DOI: 10.15139/s3/d2gbvq
title: Campaign Contributions in Prosecutorial Elections, 2014-2017

description: This dataset record contains the Database of Campaign Contributions in Prosecutorial Elections, which is intended as a resource for the study of campaign finance in the election of state and local prosecutors.  The database identifies the candidates who ran for local or state-wide prosecutorial office. It also identifies who contributed to prosecutor elections and the amount of their donations. Campaign contribution information is often publicly available, but the format of that information varies from state to state, the information is often scattered across multiple sources and the information is sometimes incomplete. This single nationwide database will allow sustained study about who contributes to prosecutor campaigns and the amount of contributions.  The database was created by the Prosecutors and Politics Project at the University of North Carolina School of Law. The Politics and Prosecutors Project is a non-partisan initiative that studies elected prosecutors in the United States. Creating the database required the collection, compilation, and analysis from many state and county sources. The resulting database includes records of elections from 2014-2017 in each state that elects either an Attorney General or local prosecutors, as well as records of hundreds of thousands of distinct contributions to their campaigns. The creation of the Database of Campaign Contributions in Prosecutorial Elections was made possible by a generous gift from the Vital Projects Fund, Inc.
DOI: 10.17632/xkzvzsdpv9.1
title: Data for: Holocene sea-level database from the Atlantic coast of Europe

description: Holocene sea-level database from the Atlantic coast of Europe
DOI: 10.18739/a2901zf6n
title: Extreme summer melt: Assessing the habitability and physical structure of rotting first-year Arctic sea ice. Chukchi Sea, Alaska. 2015-2018
DOI: 10.5066/p9ovu9px
title: Estimated effect of best management practice implementation in the Chesapeake Bay watershed from 1985 to 2014

description: This metadata record documents 3 sets of comma delimited tables representing the amount of reported best management practice (BMP) implementation within the Chesapeake Bay watershed as well as output data from scenarios of the Chesapeake Bay Program Phase 5.3.2 Watershed Model. The scenario data were used to estimate the effects of BMPs on water quality. The data are organized by three themes (child items below); 1) BMP implementation and definitions, 2) isolation scenarios, and 3) "Progress" and "No Action" scenarios.
DOI: 10.5066/p9vtggy0
title: 5-year Relative Fractional Vegetation Cover at Abandoned Energy Development Sites on the Colorado Plateau

description: This data release contains a single vector shapefile and two text documents with code used to generate the data product. This vector shapefile contains the locations of 365 "plugged and abandoned" well sites from across the Colorado Plateau with their respective relative fractional vegetation cover (RFVC) values. Oil and gas pads are often developed for production, and then capped, reclaimed, and left to recover when no longer productive (collectively termed "plugged and abandoned"). Understanding the rates, controls, and degree of recovery of these reclaimed well sites (well pads) to a state similar to pre-development conditions is critical for energy development and land management decision processes. We used the Soil-Adjusted Total Vegetation Index (SATVI) to measure post-abandonment vegetation cover relative to pre-drilling condition as a metric of recovery: relative fractional vegetation cover (RFVC). The Google Earth Engine cloud computing platform allows for the automated processing of hundreds of images for each of the hundreds of sites, permitting time series analyses that were not easily achieved with earlier image processing methods. The time-series package BFAST in R statistical software enables the efficient detection of breaks in temporal trends, helping to identify when vegetation was cleared from the site and the magnitudes and rates of vegetation change after abandonment. The code text documents include: 1) Google Earth Engine Script: Well Pad Means, Medians, and DART Percentile Time Series Collection 2) R Script: Generation of BFAST time series models and calculation of RFVC The Google Earth Engine and R code used for data processing, and the final shapefile were used for statistical analysis in the following paper: Waller, E.K., Villarreal, M.L., Poitras, T.B., Nauman, T.W., and Duniway, M.C., 2018, Landsat time series analysis of fractional plant cover changes on abandoned energy development sites: International Journal of Applied Earth Observation and Geoinformation, v. 73, p. 407-419, https://doi.org/10.1016/j.jag.2018.07.008.
DOI: 10.5063/f16h4fmf
title: Water, seston and phytoplankton variables in a tropical lagoon

description: Data were collected in 2016 in Cau Hai lagoon, Vietnam. We measured water, seston and phytoplankton variables to assess the effects of resource availability and resource ratio on biomass and richness of phytoplankton community. Both P availability and the N:P ratio are decisive factors for the phytoplankton community in the Cau Hai lagoon and hence alterations in both these factors will lead to a shift in phytoplankton species composition and productivity.
DOI: 10.7910/dvn/fnuod3/htecip
title: Database_Equity.RData

description: R database for multiple imputation, population-sample t-tests, and regressions.
DOI: 10.7910/dvn/fnuod3/nruhdi
title: Pop_logical_bounds.xlsx

description: Used to tell Amelia function in R which variables to multiply impute for sample-population t-tests.
DOI: 10.7910/dvn/fnuod3/pkjuv4
title: Regression_Table_R.xlsx

description: Sample dataset used in R database and syntax
DOI: 10.7910/dvn/fnuod3/yk2zuv
title: Pop_logical_bounds_names.xlsx

description: Used to tell Amelia function in R which variables to multiply impute for sample-population t-tests. Includes names (which must be deleted for Amelia to accept it).
DOI: 10.7910/dvn/ifswxo/yc2aqj
title: open_csv_italian_party_polls.tab

description: :unav
DOI: 10.5063/f1b56gxf
title: Water, seston and phytoplankton variables

description: Data were collected in 2016 in Cau Hai lagoon, Vietnam. We measured water, seston and phytoplankton variables to assess the effects of resource availability and resource ratio on biomass and richness of phytoplankton community.
DOI: 10.5063/f1fx77md
title: Water, seston and phytoplankton variables

description: Data were collected in 2016 in Cau Hai lagoon, Vietnam. We measured water, seston and phytoplankton variables to assess the effects of resource availability and resource ratio on biomass and richness of phytoplankton community.
DOI: 10.7910/dvn/fnuod3/gqhlyr
title: Script_Equity.R

description: R script for multiple imputation, population-sample t-tests, and regressions.
DOI: 10.7910/dvn/ifswxo/f8bi3y
title: open_csv_italian_party_polls.tab

description: :unav
DOI: 10.18739/a21j9771x
title: Arctic lake surface nuclear magnetic resonance (NMR) soundings, North Slope, Alaska (2015-2016)
DOI: 10.18739/a2ws8hk6x
title: Surface Mass Balance and Snow Depth on Sea Ice Working Group (SUMup) snow depth on sea ice subdataset, Antarctica and Baltic Sea, 1990-2018
DOI: 10.5063/f12r3pwq
title: Water, seston and phytoplankton variables in a tropical lagoon

description: Data were collected in 2016 in Cau Hai lagoon, Vietnam. We measured water, seston and phytoplankton variables to assess the effects of resource availability and resource ratio on biomass and richness of phytoplankton community. Both P availability and the N:P ratio are decisive factors for the phytoplankton community in the Cau Hai lagoon and hence alterations in both these factors will lead to a shift in phytoplankton species composition and productivity.
DOI: 10.5063/f1kp80b4
title: Water, seston and phytoplankton variables

description: Data were collected in 2016 in Cau Hai lagoon, Vietnam. We measured water, seston and phytoplankton variables to assess the effects of resource availability and resource ratio on biomass and richness of phytoplankton community.
DOI: 10.5063/f1z036cp
title: Salmon Proposals to the Alaska Board of Fisheries, 2000-2017

description: Every three years, the Alaska Board of Fish (Board) calls for regional fisheries management proposals, inviting the public to directly participate in fisheries governance. Anyone can submit a proposal and provide written or oral testimony on any of the proposals, which constitute potential regulatory changes and are accessible in an online proposal book. Proposals are logged by Board staff and recorded in the meeting documents, which are stored online and archived at the State, Library, Archives, and Museum (SLAM) in Juneau. Each proposal contains valuable information about stakeholder demographics, affiliations, interests, and positions on allocation disputes. This dataset contains proposals related to salmon fisheries over the entire state from 2000-2017. This dataset is derived from Meagan Krupa and Molly Cunfer. 2017. Alaska Board of Fish Proposals 1959-2016. Knowledge Network for Biocomplexity. doi:10.5063/F1G73BVP. The data here use the same coding techniques to transform the information in proposal books and vote logs into tabular format, with the exception of the added "Category" column. This information is added to this dataset to glean information on the types of ideas proposed to the Board of Fisheries.
DOI: 10.5281/zenodo.1344634
title: Dataset for Spence et al., "Availability of study protocols for randomized trials published in high-impact medical journals: cross-sectional analysis" (CITATION)

description: Contains our extraction sheets (as SAS data files), code to calculate the values in the tables in our manuscript, and a supplemental file with additional notes on methods used in our study.
DOI: 10.7910/dvn/ifswxo/6aignv
title: open_csv_italian_party_polls.tab

description: :unav
DOI: 10.7910/dvn/ifswxo/dxlqef
title: raw_xlsx_italian_party_polls.tab

description: :unav
DOI: 10.7910/dvn/ifswxo/xanosk
title: raw_xlsx_italian_party_polls.tab

description: :unav
DOI: 10.25606/surf.578c6039-c1de95cb
title: The Cosmogrid Simulation: Statistical Properties of Small Dark Matter Halos (2048-763)

description: We present the results of the "Cosmogrid" cosmological N-body simulation suites based on the concordance LCDM model. The Cosmogrid simulation was performed in a 30 Mpc box with 2048³ particles. The mass of each particle is 1.28x10^5 Msun, which is sufficient to resolve ultra-faint dwarfs. We found that the halo mass function shows good agreement with the Sheth & Tormen fitting function down to ~10^7 Msun. We have analyzed the spherically averaged density profiles of the three most massive halos which are of galaxy group size and contain at least 170 million particles. The slopes of these density profiles become shallower than -1 at the inner most radius. We also find a clear correlation of halo concentration with mass. The mass dependence of the concentration parameter cannot be expressed by a single power law, however a simple model based on the Press-Schechter theory proposed by Navarro et al. gives reasonable agreement with this dependence. The spin parameter does not show a correlation with the halo mass. The probability distribution functions for both concentration and spin are well fitted by the log-normal distribution for halos with the masses larger than ~10^8 Msun. The subhalo abundance depends on the halo mass. Galaxy-sized halos have 50% more subhalos than ~10^11 Msun halos have. This is snapshot 763 of the 2048³ resolution collection.
DOI: 10.7910/dvn/w9waor/kribpz
title: PREP_dataverse.tab

description: :unav
DOI: 10.7910/dvn/zwr6ez/cdm9k2
title: PREP_lifestyle_dataverse.tab

description: :unav
DOI: 10.14469/hpc/4616
title: The White City reactant, new motif, Ci

description: Gaussian Calculation
DOI: 10.14469/hpc/4617
title: Machine Learning for Organic Cage Property Prediction

description: All cages for the paper "Machine Learning for Organic Cage Property Prediction".
DOI: 10.14469/hpc/4618
title: Machine Learning for Organic Cage Property Prediction

description: All cages for the paper "Machine Learning for Organic Cage Property Prediction". Use the stk library to open the population files. https://github.com/lukasturcani/stk
DOI: 10.5066/f7gq6x2j
title: Geospatial Data for Coal Beds in the Little Snake River coal field and Red Desert area, Greater Green River Basin, Wyoming

description: The data release encapsulates geospatial data in support of the regional scale study, Coal Geology and Assessment of Coal Resources and Reserves in the Little Snake River coal field and Red Desert assessment area, Greater Green River Basin, Wyoming. The assessment area covers about 2,300 square miles of the Eastern portion of the 15,400 square mile Greater Green River Basin in Southwestern Wyoming. This release includes geospatial data for the study area boundary, depth to coal, thickness of coal, outcrops and reliability. These data were compiled from numerous sources, the primary one being a database of point data that resides in a separate data release.
DOI: 10.14469/hpc/4619
title: B-O-B system. TS4' using MeNH2 as carrier instead of MeCO2H, B-O cleavage RP, lower than -1082.976160 TS, cartesian -1082.979733 CF3CH2O-B -1907.988246

description: Gaussian Calculation
DOI: 10.15121/1464526
title: Utah FORGE: Area LiDAR Bare Earth DEM Mosaic

description: This is a mosaic of 154 bare earth DEM panels (0.5 m resolution) acquired during Phase II of the Utah FORGE project. The DEM covers the western Mineral Mountains and adjoining basin including the Roosevelt Hot Springs area. The coordinates are in UTM Zone 12, NAD 83 and elevation units are in meters. The DEM is in GeoTiff format.
DOI: 10.15139/s3/0jguos
title: Replication Data for: You Want To Spend My Money How?: Framing Effects on Tax Increases via Ballot Propositions

description: Recent scholarly work has discovered that modest changes in the framing of the titles and summaries of ballot measures can have dramatic effects on voter approval. This work expands upon these findings by exploring the effect of language specificity on support for ballot propositions that require the voter to pay for the measure with tax dollars. While extensive research has explored ballot measure language complexity, (e.g. position on the ballot, electoral effects, and prepossessed knowledge have all beenshown to play a role in the outcome for propositions), left unanswered is the role of detailed language in altering support. Utilizing original experimental data, this work explores the framing effects of increasing specificity of proposed use of tax expendi- tures on support for ballot questions. Ultimately, this research finds that propositions providing more information to voters substantially increases the likelihood of support for those measures. Moreover, this increased specificity also bolsters certainty as to how the money will be spent, and intensifies how strongly voters feel about the issues being considered.
DOI: 10.18739/a2s17ss1m
title: Arctic lake surface nuclear magnetic resonance (NMR) soundings, North Slope, Alaska (2015-2016)