cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.18739/a2q29s
title: Collocation of cloud microphysical properties from space-based instruments, carbon monoxide concentration from a numerical model, and meteorological parameters from reanalysis in the Arctic, 2005-2010
DOI: 10.5066/f75t3jp5
title: Water chemistry of cropped wetlands and associated subsurface drainage system discharge in the Prairie Pothole Region of North Dakota, 2013-2016

description: A field study was conducted in the Prairie Pothole Region of North Dakota to examine potential effects of localized subsurface drainage systems on wetland hydrology. As part of discrete studies utilizing the study sites (wetland catchments) from this study, samples of wetland surface water and subsurface drainage system effluent were collected from 2013-2016 and analyzed for standard water-quality variables (ions, elements, nutrients), agricultural chemicals (herbicides, pesticides), and metals. This data release presents water-quality data associated with these samples. Surface-water samples were collected from five wetlands and effluent was collected from the two drainage-system outlets from wetland Beck 6 and the lone outlet from wetland Beck 5. The number and frequency of samples were constrained by the lack of effluent from the subsurface drainage systems, as well as by the fact the wetlands only contained surface water during portions of the study. Formal analyses were not conducted on these data due to low sample replication and since the data were intended for inclusion in discrete studies. Qualitative examination of the standard water-quality data (e.g., ions, elements, nutrients) suggested that the ratio and concentrations of the dominant ions and elements varied temporally in conjunction with wetland water levels, as well as among wetlands and water sources (surface water, effluent). Similar variability was observed for nutrients (e.g., ammonia) and other water-quality variables such as total dissolved solids and pH. In addition to the standard water-quality variables, water samples were analyzed for 93 agricultural chemicals and metals, and concentrations of seven of these analytes were above the laboratory reporting limit for at least one sample; thus, a majority of the analytes were considered non-detects. The seven detected analytes represent common agricultural herbicides.
DOI: 10.5066/f7cr5s92
title: Data Release for The sensitivity of ecosystem service models to choices of input data and spatial resolution

description: Although ecosystem service (ES) modeling has progressed rapidly in the last 10-15 years, comparative studies on data and model selection effects have become more common only recently. Such studies have drawn mixed conclusions about whether different data and model choices yield divergent results. In this study we apply inter- and intra-model comparisons to address these questions at national and provincial scales in Rwanda. We compare results of (1) carbon, annual, and seasonal water yield using InVEST and WASSI models, and the above plus the InVEST sediment regulation model using (2) 30- and 300 m resolution data and (3) three different input land cover datasets. For the inter-model comparison, we found the two models to give diverging results, with most metrics being complementary rather than directly comparable. WASSI and simpler InVEST models (carbon storage and annual water yield) were relatively insensitive to the choice of spatial resolution, but more complex InVEST models (seasonal water yield and sediment regulation) yielded strong differences when applied at differing resolution. Over half of the models predicted national-scale ES similarly regardless of input land cover data. However, only the WASSI runoff model predicted similar national- and provincial-scale ES across all input datasets. Our results confirm and extend conclusions of past studies, showing that in certain cases (e.g., simpler models and national-scale analyses), results are robust to the choice of input data. For more complex models, those with different output metrics, and subnational to site-based analyses in heterogeneous environments, data and model choices strongly influence modeling results.
DOI: 10.5066/f7sj1jvg
title: Monthly Time Series of Streamflow, Precipitation, Air Temperature, and Net Radiation for 2,673 River Basins Worldwide, 1901-2013

description: This is the first of two datasets containing derived data necessary to reproduce the results of the associated journal article: "On the Sensitivity of Annual Streamflow to Air Temperature." This first dataset contains basic basin characteristics of 2,673 gaged basins worldwide, along with associated monthly time series of basin-mean precipitation, air temperature, and net radiation. The streamflow data themselves are available directly from the Global Runoff Data Centre. From the inventory of discharge data holdings of the Global Runoff Data Centre, 2,673 stream gages were selected for which (1) at least 25 complete calendar years of monthly data overlapped in time with available climate data; (2) 500-m-resolution basin shapefiles were available from Global Runoff Data Centre; (3) the Global Reservoir and Dam database listed no artificial reservoirs located within the drainage basin; and (4) mean reported discharge did not exceed either of two estimates of basin precipitation by more than a factor of 10. Monthly precipitation data from the Global Precipitation Climatology Centre, both precipitation and temperature from University of East Anglia Climatic Research Unit, and net radiation data from NASA, all on 0.5-degree grids, were areally averaged over the basins.
DOI: 10.5066/f7sn085v
title: Annual Streamflow Sensitivity to Air Temperature Worldwide, 1901-2013

description: The purpose of the dataset is to quantify the sensitivity of streamflow to air temperature at 2,673 gages around the world and to evaluate a theory for predicting that sensitivity. This is the second of two datasets containing derived data necessary to reproduce the results of the associated journal article: "On the Sensitivity of Annual Streamflow to Air Temperature," intended for publication in Water Resources Research. The first dataset contains monthly time series of basin-mean precipitation, air temperature, and net radiation, along with basin characteristics. This second dataset, using the first as input, contains empirical and theoretical estimates of annual streamflow sensitivities to precipitation, temperature, and previous-year streamflow. For each basin, a water year was defined by optimization of a streamflow regression against precipitation, temperature, and previous-year streamflow; all variables in the regression were detrended, normalized (except in the case of temperature) anomalies. The coefficients from the optimal regression were the empirical sensitivities. Theoretical sensitivities were computed according to equations in the associated paper. Their computation required estimates of the sensitivities of annual net radiation to precipitation and temperature; these were estimated empirically by regression. Other variables used in the paper and included here are basic basin characteristics; long-term means of streamflow, precipitation, temperature, and net radiation; standard errors of estimation of the regression coefficients for streamflow and net radiation; monthly climatological means of net radiation and temperature; potential evapotranspiration; and adjusted precipitation amounts that make the basin means obey a common relation between aridity index and evapotranspiration ratio.
DOI: 10.5066/f7td9wmf
title: Pharmaceutical manufacturing facilities as sources of pharmaceuticals to municipal wastewater treatment plants in the United States, 2012-2014
DOI: 10.5281/zenodo.1183640
title: Data and analysis for "Fldgen v1.0: An Emulator with Internal Variability and Space-Time Correlation for Earth System Models"

description: This is an archive of the raw data and analysis source code for the paper "Fldgen v1.0: An Emulator with Internal Variability and Space-Time Correlation for Earth System Models". The archive contains: <strong>devel.Rmd : </strong>Source code for the worksheet that contains the early development and figures for the paper. <strong>devel.html</strong> : HTML rendering of devel.Rmd <strong>lg-ensemble-stats.Rmd </strong>: Source code for the worksheet that contains the statistical analysis described in the paper. <strong>lg-ensemble-stats.html</strong> : HTML rendering of lg-ensemble-stats.Rmd <strong>cc-analysis.Rmd </strong>: Analysis of the compromise conjecture raised by some readers of the paper <strong>cc-analysis.nb.html</strong> : HTML rendering of cc-analysis.Rmd <strong>data.tar.bz2 </strong>: Input data for the analyses above. The source code in this archive is written in R and requires the R runtime environment. It also uses the fldgen package, version 1.0.0, which is available at https://github.com/JGCRI/fldgen
description: This version adds to the previous version additional analysis spawned by the discussion and review.
DOI: 10.5281/zenodo.1184868
title: Digitised weekly Murrumbidgee river heights southeastern Australia 1874 to 2017 (updated JJA to 31/08/2018)

description: The aim is to make available online to research institutions, government agencies and the public in general, weekly Murrumbidgee river heights at Hay from November 1873 to June 2017 and now updated for JJA to August 2018. Such a data repository would be a very convenient acquisition that would enhance knowledge of historical stream flow allowing annual and seasonal analysis for climate change in addition to the effect of catchment development on streamflow. <br> <br> <br>
description: database updated for JJA to end of August 2018
DOI: 10.18739/a2k87v
title: Kuparuk River Discharge, Alaska, 2013-2015
DOI: 10.6085/aa/marine_cbs.2.1
title: (:unkn)
DOI: 10.6085/aa/marine_ltm.10.1
title: (:unkn)
DOI: 10.6085/aa/marine_ltm.7.1
title: PISCO: Intertidal: MARINe Long-Term Monitoring Surveys: Intertidal water temperature summarized by georegion

description: This metadata record describes intertidal seawater temperature data collected at MARINe/PISCO sites ranging from southeast Alaska to Central California. These data were collected by MARINe/PISCO to better understand the physical processes of the inner continental shelf and their potential effects on marine ecology. Measurements were collected using either Stowaway Tidbit Temperature Loggers; Onset Computer Corp TPIC-05+37 or HOBO Pendant Temperature/Light Logger; Onset Computer Corp UA-002-64
DOI: 10.6085/aa/marine_cbs.1.1
title: PISCO: Intertidal: Coastal Biodiversity Surveys: Swath Surveys: Pisaster density data

description: This metadata record documents the Swath surveys for PISCO intertidal coastal biodiversity surveys. Swath sampling consists of recording the number of seastars and abalone on eleven 2m wide transects of variable length extending from the upper intertidal to the low intertidal. Intertidal surveys are comprised of four components, all sampled along the same transects: (1) point contact estimates of intertidal cover and substrate characteristics, (2) swath transects to estimate the density of seastars and abalone, (3) quadrat sampling to estimate the density of mobile invertebrates, and (4) topography (elevation relative to mean low low water (mllw)). Intertidal coastal biodiversity surveys are conducted throughout the year at sites ranging from Southeast Alaska to Baja California, Mexico. Selected sites are resampled on a 3 to 5 year cycle. A site is defined as a contiguous rocky bench of at least 30m.
DOI: 10.6085/aa/marine_ltm.8.1
title: (:unkn)
DOI: 10.6085/aa/marine_ltm.9.1
title: PISCO: Intertidal: MARINe Long-Term Monitoring Surveys: Sea Star Size summary

description: This metadata record documents the Sea Star size summary data for the Multi-Agency Rocky Intertidal Network (MARINe) Long-Term Monitoring surveys. These surveys are done throughout the year at sites ranging from Southeast Alaska to Southern California. To download the data described in this metadata record, please visit pacificrockyintertidal.org.
DOI: 10.5281/zenodo.1185405
title: 3D scans of subglacial conduit under Rieperbreen, Svalbard

description: 3D scans of subglacial conduit under Rieperbreen, Svalbard. Data was collected with kinect_record from the libfreenect project (https://github.com/mankoff/kinect_record ). See https://github.com/mankoff/Hansbreen_2012, DOI 10.1029/2018gl079590 and DOI 10.1017/jog.2016.134 for more information.
DOI: 10.5281/zenodo.1185406
title: 3D scans of subglacial conduit under Rieperbreen, Svalbard

description: 3D scans of subglacial conduit under Rieperbreen, Svalbard. Data was collected with kinect_record from the libfreenect project (https://github.com/mankoff/kinect_record ). See https://github.com/mankoff/Hansbreen_2012, DOI 10.1029/2018gl079590 and DOI 10.1017/jog.2016.134 for more information.
DOI: 10.21223/p3/jjjqv0
title: Dataset for: Trait Observation Network (TON) Panel, clones under evaluation for late blight resistance

description: The assessment of late blight resistance in TON panel genotypes was conducted in experimental trials under field conditions with high endemic disease pressure. The percentage of leaf area affected by late blight infection was recorded by plot throughout the season to subsequently compute the area under the disease progress curve (AUDPC). Since AUDPC is subject to variation from factors that are experiment specific it cannot be used to compare values accross trials. AUDPC values were used to compute the relative AUDPC (rAUDPC) and predicted susceptibility scale value (sAUDPC), which are comparable accross trials
DOI: 10.5066/f71835q9
title: Data for Turbidity, Discharge, and Suspended-Sediment Concentrations and Loads, Duwamish River, Tukwila, Washington

description: This data release includes turbidity, discharge, suspended-sediment concentration (SSC) and particle-size data that were collected by the U.S. Geological Survey (USGS) between February 2013 and January 2017 at the Duwamish River, Washington, within the tidal influence at river kilometer 16.7 (USGS site 12113390; Duwamish River at Golf Course at Tukwila, WA). Additionally included in this release are the regression model archive summaries (MAS) that were developed between SSC and turbidity as well as SSC and discharge to estimate 15-minute SSC. Suspended-sediment loads were calculated from the computed SSC and time-series discharge data for every 15-minute interval during the study period.
DOI: 10.5066/f7z036nf
title: Shale gas data used in development of the Disturbance Intensity Index for the Pennsylvania portion of the Upper Susquehanna River basin in Maloney et al. 2018.

description: Data on 17 metrics of shale gas development in the Pennsylvania portion of the Upper Susquehanna River basin that was collated from a variety of sources and summarized at the upstream catchment scale. Data were also standardized by upstream area and transformed into rank scores based on metric distribution and then summarized into a Disturbance Intensity Index (DII). See Maloney et al. 2018 for detailed descriptions of each data sets and limitations of data. (Maloney, K. O., J. A. Young, S. P. Faulkner, A. Hailegiorgis, E. T. Slonecker, and L. E. Milheim. 2018. A detailed risk assessment of shale gas development on headwater streams in the Pennsylvania portion of the Upper Susquehanna River Basin, U.S.A. Science of The Total Environment 610:154-166. http://www.sciencedirect.com/science/article/pii/S0048969717319654)
DOI: 10.5066/f7zc81vr
title: Data Release for Metamodeling and Mapping of Nitrate Flux in the Unsaturated Zone and Groundwater, Wisconsin, USA

description: Widespread nitrate contamination of groundwater in agricultural areas poses a major challenge to sustainable water resources. Efficient analysis of nitrate fluxes across large regions also remains difficult. This study introduces a method of characterizing nitrate transport processes continuously across regional unsaturated zones and groundwater based on surrogate, machine-learning metamodels of an N flux process-based model. The metamodels used boosted regression trees (BRTs) to relate mappable variables to parameters and outputs of a vertical flux method (VFM) applied in the Fox-Wolf-Peshtigo (FWP) area in Wisconsin. In this context, the metamodels are upscaling the VFM results throughout the region, and the VFM parameters and outputs (collectively referred to as nitrate flux) are the BRT metamodel response variables: VFM_fcN, nitrate (NO3−) source concentration factor (which determines the local NO3− input concentrations); VFM_travel_time_yrs, unsaturated zone travel time; NO3_WT_mgL_1980−2020, NO3− concentration at the water table in 1980, 2000, and 2020 (three separate metamodels); and Zss_N_ext_depth, NO3− extinction depth, the eventual steady state depth of the nitrate front. The metamodels were trained using 129 wells within an active MODFLOW model area of the FWP and 58 mappable predictor variables from a geographic information system, resulting in training and cross-validation testing R2 values of 0.52 0.86 and 0.22 0.38, respectively. The provided metadata file describes all 58 predictor variables considered in metamodel development, whereas the ascii predictor variable grids comprise those in the final metamodels. Metamodel outputs (ascii prediction grids) were compiled as maps of the above metamodel response variables. Relationships between predictor variables and outputs were generally consistent with expectations, e.g. with greater source concentrations and NO3− at the groundwater table in areas of intensive crop use and well drained soils. Shorter unsaturated zone travel time in poorly drained areas indicated possible preferential flow through clay soils and a tendency for fine grained deposits to collocate with areas of shallower water table. Numerical estimates of groundwater recharge may have been a proxy for N input and redox conditions in the northern FWP, which had shallow predicted NO3− extinction depth. The metamodel results provide proof-of-concept for regional estimation of NO3− transport processes in a statistical metamodel framework based on mappable GIS input variables.
DOI: 10.18739/a2d879
title: Scripps carbon dioxide (CO2) program data, Alert, Canada (1985-present) and Point Barrow, Alaska (1961-1964 and 1974-present)
DOI: 10.6085/aa/marine_cbs.1.2
title: PISCO: Intertidal: Coastal Biodiversity Surveys: Swath Surveys: Pisaster density data

description: This metadata record documents the Swath surveys for PISCO intertidal coastal biodiversity surveys. Swath sampling consists of recording the number of seastars and abalone on eleven 2m wide transects of variable length extending from the upper intertidal to the low intertidal. Intertidal surveys are comprised of four components, all sampled along the same transects: (1) point contact estimates of intertidal cover and substrate characteristics, (2) swath transects to estimate the density of seastars and abalone, (3) quadrat sampling to estimate the density of mobile invertebrates, and (4) topography (elevation relative to mean low low water (mllw)). Intertidal coastal biodiversity surveys are conducted throughout the year at sites ranging from Southeast Alaska to Baja California, Mexico. Selected sites are resampled on a 3 to 5 year cycle. A site is defined as a contiguous rocky bench of at least 30m.
DOI: 10.6085/aa/marine_ltm.9.2
title: PISCO: Intertidal: MARINe Long-Term Monitoring Surveys: Sea Star Size summary

description: This metadata record documents the Sea Star size summary data for the Multi-Agency Rocky Intertidal Network (MARINe) Long-Term Monitoring surveys. These surveys are done throughout the year at sites ranging from Southeast Alaska to Southern California. To download the data described in this metadata record, please visit pacificrockyintertidal.org.
DOI: 10.14469/hpc/3750
title: RAKLOF tri-selenide

description: Gaussian Calculation
DOI: 10.5281/zenodo.1182325
title: Radiocarbon dates from Sri Ksetra Myanmar

description: Radiocarbon dates for samples from archaeological excavations at Sri Ksetra, Myanmar. Funded by ERC synergy project 609823 Asia Beyond Boundaries: Religion, Region, Language and the State.
description: This document reports radiocarbon dates for eight samples from archaeological excavations at Sri Ksetra in Myanmar, submitted for dating by Professor Janice Stargardt. Radiocarbon dating was conducted by two laboratories: Beta Analytic Radiocarbon Dating Laboratory in Miami, USA, and by the Radiocarbon Dating Laboratory at the Australian National University in Canberra, Australia. Dates for the eight samples range from 260–770 Cal AD (1690–1180 Cal BP).
DOI: 10.7910/dvn/dpqmqh/p2z4pm
title: india-news-headlines.csv

description: :unav
DOI: 10.14469/hpc/3752
title: 1-methyl-2-(3,4,5-trifluorophenyl)-1,3,2-diazaborinane

description: Gaussian Calculation
DOI: 10.14469/hpc/3753
title: 2-phenyl-1,3,2-diazaborinane

description: Gaussian Calculation
DOI: 10.14469/hpc/3754
title: 2-phenyl-1,3,2-diazaborinane

description: Gaussian Calculation
DOI: 10.14469/hpc/3755
title: 1-methyl-2-(3,4,5-trifluorophenyl)-1,3,2-diazaborinane

description: Gaussian Calculation
DOI: 10.5281/zenodo.1187175
title: Dataset for: Developing research data management services and support for researchers: a mixed methods study

description: <strong>Overview</strong> This dataset contains the raw data for the manuscript: <br> Perrier L, Barnes L. Developing research data management services and support for researchers: a mixed methods study. Partnership. 2018;13(1). doi: doi.org/10.21083/partnership.v13i1.4115. Full-text available at: https://journal.lib.uoguelph.ca/index.php/perj/article/view/4115/4202 <strong>Data and Documentation Files</strong> Five files make up the dataset: Coding Scheme: RDMServicesSupport_Codes.txt Transcript, Focus Group 01 (anonymized): RDMServicesSupport_FocusGroup01.pdf Transcript, Focus Group 02 (anonymized): RDMServicesSupport_FocusGroup02.pdf Transcript, Focus Group 03 (anonymized): RDMServicesSupport_FocusGroup03.pdf Transcript, Focus Group 04 (anonymized): RDMServicesSupport_FocusGroup04.pdf Contact: Laure Perrier: orcid.org/0000-0001-9941-7129
DOI: 10.5281/zenodo.1187176
title: Dataset for: Developing research data management services and support for researchers: a mixed methods study

description: <strong>Overview</strong> This dataset contains the raw data for the manuscript: <br> Perrier L, Barnes L. Developing research data management services and support for researchers: a mixed methods study. Partnership. 2018;13(1). doi: doi.org/10.21083/partnership.v13i1.4115. Full-text available at: https://journal.lib.uoguelph.ca/index.php/perj/article/view/4115/4202 <strong>Data and Documentation Files</strong> Five files make up the dataset: Coding Scheme: RDMServicesSupport_Codes.txt Transcript, Focus Group 01 (anonymized): RDMServicesSupport_FocusGroup01.pdf Transcript, Focus Group 02 (anonymized): RDMServicesSupport_FocusGroup02.pdf Transcript, Focus Group 03 (anonymized): RDMServicesSupport_FocusGroup03.pdf Transcript, Focus Group 04 (anonymized): RDMServicesSupport_FocusGroup04.pdf Contact: Laure Perrier: orcid.org/0000-0001-9941-7129
DOI: 10.7925/drs1.duchas_5189248
title: Scéal Tobair Naofa

description: Story collected by Neans Ní Shúilleabháin, a student at Baile Uí Bhuaig (C.) school (Ballyvoge, Co. Cork) from informant Concubhar Ó Éaluighthe.
description: Collected as part of the Schools' Folklore scheme, 1937-1938, under the supervision of teacher Neans Ní Shúilleabháin.
description: Supported by funding from the Department of Arts, Heritage and the Gaeltacht (Ireland), University College Dublin, and the National Folklore Foundation (Fondúireacht Bhéaloideas Éireann), 2014-2016.