cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.18739/a23f4km82
title: Surface Mass Balance and Snow Depth on Sea Ice Working Group (SUMup) accumulation on land ice subdataset, Greenland and Antarctica, 1987-2018
DOI: 10.18739/a2v11vk13
title: Surface Mass Balance and Snow Depth on Sea Ice Working Group (SUMup) snow density subdataset, Greenland and Antartica, 1950-2018
DOI: 10.18739/a2zp3w033
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/f1gx48rs
title: Alaska Sport Fishing Licenses, 1993-2016

description: This dataset contains information about sport fishing licenses issued by the Alaska Department of Fish and Game from 1993-2016. A sport fishing license is mandatory for any resident over the age of 18 or nonresident over the age of 16 participating in sport or personal fishing activities in fresh or marine waters. Licenses are valid from the date of purchase through December 31st of the year of purchase. Data is collected via the application process and includes: license year, type code, license number, city, state, zip code, country, sex, citizenship, vendor number, class code, and issue date. This package includes the combined, reformatted data file (SportFishingLicense_Data.csv); the original data as csv files (1993.csv-2016.csv); and the reformatting script (SportFishingLicenses_DataReformat_Script.R).
DOI: 10.5063/f1mp51gh
title: Arsi Negele Soils

description: This data set includes information on soil properties along a land-use-land-cover gradient in central Ethiopia. Soils come from wheat fields, home gardens, and a state forest. Measured properties focus around different types of soil organic matter and its control variables.
DOI: 10.5066/p9swdwls
title: Grassland State and Transition Map of Canyonlands National Park Needles District and Indian Creek Grazing Allotment

description: This raster data depicts the modeled distribution of three grassland states: Biocrust, Grass-bare, and Annualized-bare. We developed models of bare ground, total vegetation, exotic grasses and biological soil crust using spectral data from three year composites of growing season (March-October) Landsat data in Google Earth Engine and field data that were collected over the same period at monitoring sites. The resulting regression models were used to characterize the spatial distribution of putative grassland ecological states across our 251,430 ha study area in and around Canyonlands National Park, UT. This model illustrates how a remote sensing approach to land-cover change can be implemented to guide dryland ecosystem management actions such as monitoring, livestock management, and restoration.
DOI: 10.5281/zenodo.1324411
title: Dataset for: Exploring the experiences of academic libraries with research data management: a meta-ethnographic analysis of qualitative studies

description: <strong>Overview</strong> This dataset contains the raw data for the manusript:<br> Perrier L, Blondal E, MacDonald H. Exploring the experiences of academic libraries with research data management: a meta-ethnographic analysis of qualitative studies. 2018; 40(3-4): 173-183. doi: 10.1016/j.lisr.2018.08.002 Full-text available at: https://doi.org/10.1016/j.lisr.2018.08.002 <strong>Data and Documentation Files</strong> Five files make up the dataset: Data Dictionary: RDMMetaEthnography_DataDictionary_v1.pdf Data Abstraction Sheet: RDMMetaEthnography_StudyCharacteristics.csv Data Abstraction Sheet: RDMMetaEthnography_ParticipantCharacteristics.csv Data Abstraction Sheet: RDMMetaEthnography_Outcomes.csv Data Abstraction Sheet: RDMMetaEthnography_COREQ,csv Contact: Laure Perrier: orcid.org/0000-0001-9941-7129
DOI: 10.5281/zenodo.1324412
title: Dataset for: Exploring the experiences of academic libraries with research data management: a meta-ethnographic analysis of qualitative studies

description: <strong>Overview</strong> This dataset contains the raw data for the manusript:<br> Perrier L, Blondal E, MacDonald H. Exploring the experiences of academic libraries with research data management: a meta-ethnographic analysis of qualitative studies. 2018; 40(3-4): 173-183. doi: 10.1016/j.lisr.2018.08.002 Full-text available at: https://doi.org/10.1016/j.lisr.2018.08.002 <strong>Data and Documentation Files</strong> Five files make up the dataset: Data Dictionary: RDMMetaEthnography_DataDictionary_v1.pdf Data Abstraction Sheet: RDMMetaEthnography_StudyCharacteristics.csv Data Abstraction Sheet: RDMMetaEthnography_ParticipantCharacteristics.csv Data Abstraction Sheet: RDMMetaEthnography_Outcomes.csv Data Abstraction Sheet: RDMMetaEthnography_COREQ,csv Contact: Laure Perrier: orcid.org/0000-0001-9941-7129
DOI: 10.15468/kw1rbz
title: A Checklist of the Birds of Arabuko-Sokoke Forest, Kenya

description: Arabuko-Sokoke Forest, located just south of Gede in Kilifi County, Kenya, has been studied ornithologically for over 100 years. This list represents a checklist of 261 species of bird recorded within the boundaries of the forest together with those recorded from the section of Arabuko Swamp that occurs within the northern boundary near Arabuko / Mijomboni. Records have been collated from as many reputable sources as possible, vetted for accuracy and include specimen records together with sight observations and mist-net capture records.
DOI: 10.3886/icpsr37118.v1
title: Committee on the Status of Women in the Economics Profession (CSWEP) Annual Survey of U.S. Economics Departments, United States, 1994-2018
title: Version 1

description: This data release is based on a survey of Ph.D. and non-Ph.D. granting U.S. economics departments for the years 1994-2018 and 2006-2018, respectively. The primary source of data is the annual Committee on the Status of Women in the Economics Profession (CSWEP) surveys. CSWEP is a committee of the American Economic Association (AEA). These data are supplemented with data from the AEA's Universal Academic Questionnaire (UAQ) information when CSWEP data observations are missing for a given institution and year. Observations that are missing in both CSWEP and UAQ surveys are imputed using linear interpolation. This study includes variables on the number and composition of faculty, the number of undergraduate, graduate, and Ph.D. students, and job placement status for Ph.D. graduates. Many of these variables are reported by gender.CSWEP has undertaken the collection of data on gender composition of faculty and students in both Ph.D. granting and non-Ph.D. granting U.S. economics departments since 1972.
description: The purpose of this study is to combine the annual CSWEP survey with data from the Universal Academic Questionnaire (UAQ) to show the gender composition of Ph.D. granting U.S. economics departments over time.
description: Information about the study design can be found on the CSWEP and UAQ sections of the American Economic Association web site.
description: Datasets: DS0: Study-Level Files DS1: PhD Restricted-Use Data DS2: Non-PhD Restricted-Use Data DS3: Public-Use Aggregate Data
description: United States universities with Ph.D. programs in economics. Smallest Geographic Unit: University campus
DOI: 10.5063/f1c53j1s
title: Sockeye salmon brood tables, Upper Cook Inlet, Alaska, 1968-2016

description: Brood tables, also called run reconstructions, utilize annual estimates of the total run (commercial catch plus escapement), and samples of ages, to estimate the number of recruits per age class. These data are useful for salmon biologists to understand salmon productivity and salmon life histories. This dataset consists of original brood tables for sockeye salmon from the Kenai and Kasilof Rivers of the Upper Cook Inlet in excel format, R scripts that slightly reformat the dataset into a format consistent with other brood tables collected as part of the State of Alaskan Salmon and People project (https://alaskasalmonandpeople.org/), and the reformatted tables as a .csv file. Age classes are given in European Notation, where the first number is the number of winters spent in freshwater before going to sea (1 winter in freshwater = age-1.X), and the second number is the number of winters spent at sea (3 winters at sea = age-X.3).
DOI: 10.5066/f79z946t
title: Radon data and time-lapse photos collected outside the Pinenut uranium mine, Arizona, 2015-16
DOI: 10.5066/f7sj1jkw
title: Data for Holocene fault reactivation in the eastern Cascades, WA

description: Significant uncertainty remains in how and where crustal shortening occurs throughout the eastern Cascade Range in Washington State. Using lidar imagery, we identified a ~5 km long lineament in Swakane canyon near Wenatchee, roughly coincident with a strand of the Entiat fault. Topographic profiles across the lineament reveal a southwest-side-up break in slope with an average of ~3 m of vertical separation of the hillslope surface. We consider a range of possible origins for this feature, including differential erosion across a fault-line scarp, slope failure (sackung or landslide), and surface deformation across an active fault strand. Based on trenching, radiocarbon and luminescence dating, and ground penetrating radar (GPR) across the lineament, we conclude that warped saprolite observed in the shallow subsurface is most consistent with southwest-side-up folding caused by blind reverse faulting at depth. Following this reasoning, dating of overlying colluvial deposits suggests at least one Holocene earthquake occurred on this strand of the southern Entiat fault with an approximate vertical separation of ≥1 m. GPR reveals up to 4 m of cumulative vertical separation of the saprolite, suggesting a history of multiple earthquakes on the structure. Taken in context with other potential fault-related lineaments along the Entiat fault, our interpretation of Holocene earthquakes in Swakane canyon could suggest reactivation of longer sections of the Entiat fault, as well as other bedrock faults in the eastern Cascades. Although active erosion and slow strain rates lead to a subdued geomorphic expression of recent deformation, we conclude that the reactivated Entiat fault represents a seismogenic structure that should be considered in regional seismic hazard analyses. The difficulty of recognizing low slip-rate structures in forested and mountainous terrain underscores the importance of additional lidar surveys and geological and geophysical studies for fully understanding seismic hazard in regions with infrequent but potentially large earthquakes.
DOI: 10.18739/a2fq9q49p
title: Strain-Induced Fabric Development in Ice under Hydrostatic Pressure
DOI: 10.18739/a2kh0dz3k
title: Electron backscatter diffraction, United States, 2010-2015
DOI: 10.18739/a2q814r86
title: EBSD
DOI: 10.5066/p9bhd74m
title: Code for computing the responses to cyclical infiltration in a layered vadose zone in Central Valley, California
DOI: 10.14469/hpc/4586
title: The White City TS, isomer 3, acid as PT agent with passive amine

description: Gaussian Calculation
DOI: 10.14469/hpc/4587
title: The White City TS3, acid as PT agent with passive amine G=-649.689910

description: Gaussian Calculation
DOI: 10.7910/dvn/h93zkk/6t5cme
title: training-data-20180417.tar.gz

description: Contains pickled PDB files and tfrecords necessary for model training using PDB subset.
DOI: 10.5063/f17d2sbh
title: Statewide Sport Fish Harvest Survey for effort, catch, and harvest estimates, Alaska, 1996-2016

description: The Sport Fish Division of the Alaska Department of Fish and Game conducts an annual mail survey to estimate sport fish harvest and catch by fisheries, areas, regions in which the fish were caught, and species. Obtaining these data provides decision-makers with the information needed to maintain, protect, and improve recreational fisheries.The survey was first implemented in 1977, capturing harvest only metrics, but was expanded to include harvest plus fish caught and released in 1990. The current version of the survey was last revised in 2011 and is now designed to capture guided and non-guided fishing activity throughout the state of Alaska. The Alaska Sport Fishing Survey database made data from 1996 to 2016 available through a query application. Prior years data have not been included in this dataset, but can be found in historic publications (https://www.adfg.alaska.gov/sf/sportfishingsurvey/index.cfm?ADFG=main.historic). In accordance with guidelines established by Mills and Howe, other than to document that sport fishing occurred, estimates based on fewer than 12 responses should not be used. Estimates based on 12 to 29 responses can be useful in indicating relative orders of magnitude and for assessing long-term trends. Estimates based on 30 or more responses are generally useable. More information about the survey is available at the Alaska Sport Fishing Survey webpage (http://www.adfg.alaska.gov/sf/sportfishingsurvey/). In this dataset is the original excel file, an R script that reformats this file, and 3 csv files derived from the original file. Also included are two ADFG reports, in pdf format, which explain how these data are gathered and processed by ADFG.
DOI: 10.5066/p9mz3av1
title: Simulated orthophosphate concentrations as a function of season and flow for 53 monitoring stations in the Chesapeake Bay watershed for the years 2006 and 2014
DOI: 10.18739/a29z90b5x
title: Strain Rate Data
DOI: 10.5063/f13r0r2z
title: A Closed-Loop Simulation Model For In-season Management of Kuskokwim River Chinook Salmon, Tailored for a Value of Information Analysis and informed by Data Spanning 1984-2016

description: In-season harvest management in large-scale subsistence fisheries for Pacific salmon is often conducted in the face of poor information (both quality and quantity). Before deciding which information sources to invest in generating or improving, it is prudent to first evaluate which will provide the greatest gains in management performance, and in which cases. We created a closed-loop simulation model to evaluate the Value of Information of various data sources for decision-making regarding in-season harvest management in the Kuskokwim River, Alaska. The information sources we evaluated were (1) improved pre-season forecasts of run size, (2) in-season abundance index data, and (3) in-season harvest estimates. The model contains submodels for the true system dynamics (i.e., the spatiotemporal aspects of the fish and fishers), observed dynamics (i.e., assessment), and management based on assessment information (i.e., weekly decisions about how much fishing to allow). The software package included here includes all model code to specify and run the analysis, as well as all data used to parameterize the model (biological information like run timing, species composition, telemetry data and sociological information like the number of fishing households in each village and the amount of harvest by species taken by each village). The file InSeason_VOI_Model.zip is a zipped directory including all of the code and data. The data used to parameterize the model is also included separately as individual files to more clearly describe their contents. These data were originally sourced from Alaska Department of Fish and Game reports (see methods section for details).
DOI: 10.5066/f7r49q1c
title: High-water mark data from Hurricane Sandy for the coastal areas of Connecticut, Rhode Island, and Massachusetts, October 29-30, 2012

description: High-water marks were collected following Hurricane Sandy, October 29-30, 2012, along the coastal areas of Connecticut, Rhode Island, and Massachusetts. Information on 371 high-water marks that were flagged following Hurricane Sandy is presented in this data release. The general information on the high-water marks presented includes site identification number, location, elevation, quality, type, and website links to the data. Of the 371 high-water marks flagged, 364 high-water marks were surveyed and 7 high-water marks were not found. The U.S. Geological Survey identified and flagged the high-water marks during October and November 2012 following Hurricane Sandy; and surveyed the marks during October and November 2012, December 2013 to June 2014, and December 2016.
DOI: 10.7910/dvn/mancde/dolwye
title: Icraf-collection semences Acacia senegal .xls

description: :unav
DOI: 10.7910/dvn/rezj1d/jtkhpc
title: Strychnos cocculoides Fruit yield data for 2016.tab

description: :unav
DOI: 10.7910/dvn/q1vwg4/1itoty
title: Syntax_Japan's_Resilient_Renewable_Cities.R

description: R Code for Regressions, Multiple Imputation, etc.
DOI: 10.14469/hpc/4588
title: The White City TS1 with extra amine -649.702436

description: Gaussian Calculation
DOI: 10.14469/hpc/4595
title: The White City TS3, isomer 3, amine as PT agent with passive acid IRC

description: Gaussian Calculation
DOI: 10.5281/zenodo.1332002
title: TESS-JULY-2018

description: Measurements taken by the European Photometer Network (Project STARS4ALL). July 2018
DOI: 10.7910/dvn/ilat5b/0yd8he
title: news-week-aug24.v2.tab

description: 1: publish_time (yyyyMMddHHmm, IST) 2: feed_code (lowercase, dash delimited) 3: source_url 4: headline_text (utf8, any language)
DOI: 10.14469/hpc/4590
title: The White City TS2 with extra amine and amine as PT agent -649.706042

description: Gaussian Calculation
DOI: 10.14469/hpc/4593
title: The White City Reactants , ionized Ci symmetry -649.737562

description: Gaussian Calculation
DOI: 10.14469/hpc/4596
title: The White City TS3, acid as PT agent with passive amine IRC

description: Gaussian Calculation
DOI: 10.5281/zenodo.1332003
title: TESS-JULY-2018

description: Measurements taken by the European Photometer Network (Project STARS4ALL). July 2018
DOI: 10.14469/hpc/4589
title: The White City TS2 with extra amine and amine as PT agent -649.706042 IRC

description: Gaussian Calculation
DOI: 10.14469/hpc/4592
title: The White City TS2 with extra amine and acid as PT agent -649.713027

description: Gaussian Calculation
DOI: 10.14469/hpc/4594
title: The White City Reactants , not ionized -649.715945

description: Gaussian Calculation
DOI: 10.14469/hpc/4597
title: The White City TS3, isomer 3, amine as PT agent with passive acid -649.691918 15.1/28.6

description: Gaussian Calculation
DOI: 10.14469/hpc/4599
title: The White City product, ionic -649.741246

description: Gaussian Calculation
DOI: 10.14469/hpc/4600
title: The White City product, non-ionic -649.732394

description: Gaussian Calculation
DOI: 10.5519/qd.pvazan5k
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.7910/dvn/02bune/u357ag
title: PM duplicados.tab

description: :unav
DOI: 10.14469/hpc/4606
title: The White City TS3, amine as PT agent with passive acid, Product of IRC = non-ionic product -649.732417

description: Gaussian Calculation
DOI: 10.14469/hpc/4607
title: The White City TS2 with extra amine and acid as PT agent, Product of IRC =&gt; TI2 -649.711481

description: Gaussian Calculation
DOI: 10.14469/hpc/4609
title: The White City TS1 with extra amine -649.702436, amine as PT -649.702307

description: Gaussian Calculation
DOI: 10.14469/hpc/4610
title: The White City, reactant, half-ionic -649.725635

description: Gaussian Calculation
DOI: 10.14469/hpc/4611
title: The White City TS3, isomer 3, amine as PT agent with passive acid , Def2-TZVPPD -649.784777 30.5

description: Gaussian Calculation
DOI: 10.15468/gwlngk
title: World Amphipoda Database in the Catalogue of Life

description: The amphipods belong to the very diverse crustacean class Malacostraca, which includes other common groups such as crabs, lobsters and shrimp. The order Amphipoda is part of the superorder Peracarida, uniting a diverse group of small shrimp-like taxa that brood their young in a pouch, with no independent larval dispersal stage. It currently contains over 10k species
DOI: 10.5066/f7610z80
title: Flood-Inundation Grids and Shapefiles for the Lower Pawcatuck River in Westerly, Rhode Island, and Stonington and North Stonington, Connecticut

description: A series of 11 digital flood-inundation maps were developed for a 5.5 mile reach of the Pawcatuck River in Westerly, Rhode Island and Stonington and North Stonington, Connecticut by the U.S. Geological Survey in cooperation with the Town of Westerly, Rhode Island and the Rhode Island Office of Housing and Community Development. The coverage of the maps extends from downstream from the Ashaway River inflow at the Westerly, Rhode Island and North Stonington, Connecticut State border to about 500 feet (ft) downstream of the U.S. Route 1/Broad Street bridge on the state border between Westerly, Rhode Island and Stonington, Connecticut. A hydraulic model was used to compute water-surface profiles for 11 flood stages at 1-ft intervals referenced to the U.S. Geological Survey Pawcatuck River at Westerly, Rhode Island streamgage (01118500) and ranging from 6.0 feet (3.32 ft, North American Vertical Datum of 1988), which is the National Weather Service Advance Hydrologic Prediction Service flood category "action stage", to 16.0 ft (13.21 ft, North American Vertical Datum of 1988), which is the maximum rated stage at the streamgage and exceeds the National Weather Service Advance Hydrologic Prediction Service flood category "major flood stage" of 11.0 ft. The hydraulic model reflects the removal of the White Rock dam during 2015-16. The hydraulic model was calibrated using the stage-discharge relation at the streamgage, and documented high-water marks from the March 30, 2010 flood, which had a peak flow slightly greater than the estimated 0.2-percent annual exceedance probability flood flow. The simulated water-surface profiles were combined with a Geographic Information System digital elevation model derived from light detection and ranging (lidar) data with a 1.0-ft vertical accuracy to create flood-inundation maps. The flood-inundation maps depict estimates of the areal extent and depth of flooding corresponding to selected 11 flood stages at the U.S. Geological Survey Pawcatuck River at Westerly, Rhode Island streamgage (01118500).
DOI: 10.5066/f7qj7ght
title: Data Release for Geologic Framework and Hydrogeology of the Rico Rico and Nogales 7.5' quadrangles, Upper Santa Cruz basin, Arizona, with 3-Dimensional hydrogeologic model

description: Rapid population growth and declining annual recharge to aquifers in the upper Santa Cruz basin area of southern Arizona, has increased the demand for additional groundwater resources. This demand is predicted to escalate in the future due to higher temperatures, longer droughts, less aquifer recharge, and decreased river and stream base flow. We conducted geologic studies to help evaluate and better understand groundwater resources in the basin. Results of these studies are presented in this report, which summarizes the basin geologic framework and hydrogeology, and presents a 3-D hydrogeologic model for the Rio Rico and Nogales 7.5' quadrangles. Three major hydrogeologic units are displayed in the 3-D model; a lower basement confining unit, consisting of Jurassic, Cretaceous, and Tertiary (Paleocene and Oligocene) rocks; a middle unit composed entirely of the Miocene Nogales Formation; and an upper unit consisting of late Miocene to Holocene surficial deposits. The Nogales Formation and the Late Miocene to Holocene sediments are the main aquifers in the Santa Cruz basin. The 3-D model integrates the hydrogeologic units and structural features to define the geometry, structure, and thickness of the aquifer system that provides water to Nogales and surrounding communities of southernmost Arizona. The report includes an EarthVision 3D Viewer, consisting of software enabling viewing data interactively in three-dimensional space, in order to help understand the internal complexities of the basin geometry, structure, stratigraphy, and hydrology. The 3-D model is a synthesis of geologic data from geologic maps, cross sections, and lithologic descriptions and interpretations, and geophysical data including gravity, magnetic data, and airborne electromagnetic data.