cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.1594/wdcc/cmaq_cclm_hzg_2008
title: Concentrations of gaseous pollutants and particulate compounds over Northwestern Europe and nitrogen deposition into the North and Baltic Sea in 2008

description: Project: coastDat-2 - CoastDat-2 (http://www.coastdat.de/about_us/index.php) comprises a compilation of coastal analyses (that is hindcasts and reconstructions) and scenarios for the future obtained from numerical models. The atmospheric part of the dataset is simulatated using the COSMO-CLM (http://www.clm-community.eu). The objective is to provide a consistent meteo-marine data set. Summary: The concentrations and deposition of atmospheric constituents such as air pollutants were modeled with the Community Multiscale Air Quality (CMAQ) Model system for the year 2008. A focus was on sea salt emissions, atmospheric sea salt concentrations and the interaction between sea salt particles and atmospheric nitrogen compounds. For this purpose, two model runs with different realistic sea salt emission parameterizations were performed and are provided here. The model run CMAQ_CD24_seasalt_base uses the default sea salt emission parameterization of CMAQ denoted as GO03. The model run CMAQ_CD24_seasalt_ov14 uses an alternative sea salt emission parameterization denoted as OV14. Please refer to the connected references for information on the two sea salt emission parameterizations and their implementation. The dataset also contains meteorological input parameters in order to allow the user to perform unit conversions for some model variables. Additionally, the land-sea mask and land fraction data per model grid cell are provided. The projection is a Lambert Conformal Conic projection. The parameters are given in the netCDF files.
DOI: 10.14469/hpc/3404
title: Computational coordinates

description: Computational coordinates
DOI: 10.14469/hpc/3406
title: PH4 radical WFN

description: Gaussian Calculation
DOI: 10.14469/hpc/3407
title: PH4 radical Wiberg

description: Gaussian Calculation
DOI: 10.14469/hpc/3409
title: AsH4 radical WFN

description: Gaussian Calculation
DOI: 10.5063/f10863fj
title: Biotic defense data of ants feeding on artificial nectars with different nutritional qualities

description: We selected 40 individual plants of Vochysia elliptica Mart. (Vochysiaceae). On each plant, we arbitrarily placed five artificial nectaries, one on the main branch (trunk) and other four on the medial part of different secondary branches (between the trunk and the apex). We established four resource treatments with ten plants assigned to each: sucrose - solution of 30% sucrose; amino acids â solution of 3% amino acids (1% glutamine, 1% proline, and 1% threonine); sucrose + amino acids â solution with 20% sucrose + 3% amino acids (same amino acids as in the A treatment); and filtered water as a control. So, in each plant we placed one live termite of the species Nasutitermes coxipoensis, to evaluate the biotic defense provided by ants. The termite was released on the apex of the secondary branch most distant from the trunk, so it could move freely around the plant. We observed each termite for 30 min, recording ant recruitment to the host plant in every 5 min, the number of ants that interacted with the termite, and the antsâ behavior towards the termite. We considered an ant-termite interaction to be an attack when the ant injured or consumed the termite, and a touch when the ant touched the termite with its antennae without injuring it. The outcome was considered neutral when the ant did not interact with the termite. We stopped observing the ants after 30 min or when the termite was consumed, left the plant, or fell from the plant due to vibrations caused by wind or ant attacks. To measure biotic defense, we calculated the following metrics during each observation event: encounter rate, attack rate, exclusion success, efficiency of exclusion and minimum time to encounter. Further details regarding this dataset can be found in the manuscript:
DOI: 10.5063/f1vh5m0q
title: Biotic defense data of ants feeding on artificial nectars with different nutritional qualities

description: We selected 40 individual plants of Vochysia elliptica Mart. (Vochysiaceae). On each plant, we arbitrarily placed five artificial nectaries, one on the main branch (trunk) and other four on the medial part of different secondary branches (between the trunk and the apex). We established four resource treatments with ten plants assigned to each: sucrose - solution of 30% sucrose; amino acids â solution of 3% amino acids (1% glutamine, 1% proline, and 1% threonine); sucrose + amino acids â solution with 20% sucrose + 3% amino acids (same amino acids as in the A treatment); and filtered water as a control. So, in each plant we placed one live termite of the species Nasutitermes coxipoensis, to evaluate the biotic defense provided by ants. The termite was released on the apex of the secondary branch most distant from the trunk, so it could move freely around the plant. We observed each termite for 30 min, recording ant recruitment to the host plant in every 5 min, the number of ants that interacted with the termite, and the antsâ behavior towards the termite. We considered an ant-termite interaction to be an attack when the ant injured or consumed the termite, and a touch when the ant touched the termite with its antennae without injuring it. The outcome was considered neutral when the ant did not interact with the termite. We stopped observing the ants after 30 min or when the termite was consumed, left the plant, or fell from the plant due to vibrations caused by wind or ant attacks. To measure biotic defense, we calculated the following metrics during each observation event: encounter rate, attack rate, exclusion success, efficiency of exclusion and minimum time to encounter. Further details regarding this dataset can be found in the manuscript:
DOI: 10.14469/hpc/3410
title: AsH4 radical Wiberg

description: Gaussian Calculation
DOI: 10.14469/hpc/3412
title: CH3F (2-)/CASSCF(12,12)/Def2-TZVPPD WFN

description: Gaussian Calculation
DOI: 10.14469/hpc/3413
title: Ti(Me)6

description: Gaussian Calculation
DOI: 10.14469/hpc/3416
title: Reactant 1st cycle -987.175590 (0.0) 10.14469/hpc/3416 D3BJ

description: Gaussian Calculation
DOI: 10.14469/hpc/3417
title: TS1 C-N stretch B-O-B bridge, 1 amine cycle TS -987.150577 (+15.7) D3BJ

description: Gaussian Calculation
DOI: 10.14469/hpc/3418
title: TI1 -987.152352(+14.6) 10.14469/hpc/3418 D3BJ

description: Gaussian Calculation
DOI: 10.14469/hpc/3419
title: TS2 PT -987.141498 (+21.4) 10.14469/hpc/3419

description: Gaussian Calculation
DOI: 10.14469/hpc/3420
title: TI2 -987.149201 (+16.6) 10.14469/hpc/3420 D3BJ

description: Gaussian Calculation
DOI: 10.14469/hpc/3421
title: TS3 -987.145165 (+19.1) 10.14469/hpc/1905 IRC 10.14469/hpc/1907 D3BJ

description: Gaussian Calculation
DOI: 10.14469/hpc/3422
title: Cr(Me)6 Wiberg

description: Gaussian Calculation
DOI: 10.14469/hpc/3423
title: HCCrCH NBO

description: Gaussian Calculation
DOI: 10.14469/hpc/3424
title: HCCrCH WFN

description: Gaussian Calculation
DOI: 10.14469/hpc/3425
title: CrMe6, WFN

description: Gaussian Calculation
DOI: 10.14469/hpc/3426
title: CrN3 (-) D3h triplet

description: Gaussian Calculation
DOI: 10.14469/hpc/3427
title: Product -987.175388 (+0.3) 10.14469/hpc/3427 G3BJ

description: Gaussian Calculation
DOI: 10.14469/hpc/3428
title: TS4, C-O cleavage -987.138094 (+23.5) 10.14469/hpc/1916 IRC 10.14469/hpc/1948 G3BJ

description: Gaussian Calculation
DOI: 10.5066/f71z42v4
title: Data from an Analysis of Dissolved Organic Matter in the Upper Klamath River, Lost River, and Klamath Straits Drain, Oregon and California, 201316

description: Concentrations of particulate organic carbon (POC) and dissolved organic carbon (DOC), which together comprise total organic carbon, were measured in a reconnaissance study at sampling sites in the Upper Klamath River, Lost River, and Klamath Straits Drain in 201316. In addition, data for total nitrogen and chlorophyll a were collected. Optical absorbance and fluorescence properties of dissolved organic matter (DOM), which contains DOC, also were analyzed. Excitation-Emission matrices (EEMs) were produced for each sample and full absorbance spectra. The EEMs were compiled and key data points and regions of the spectra were extracted from each site. Parallel factor analysis was used to decompose the optical fluorescence data into five key components for all samples.
DOI: 10.5281/zenodo.640561
title: DNAmod: database

description: The backing SQLite database for DNAmod: the DNA modification database.
DOI: 10.14469/hpc/3429
title: Cr(CN)6, 3- quartet, NBO

description: Gaussian Calculation
DOI: 10.14469/hpc/3430
title: Cr(CN)6 3-, quartet, WFN

description: Gaussian Calculation
DOI: 10.14469/hpc/3431
title: CrF6 3- quartet NBO

description: Gaussian Calculation
DOI: 10.1594/wdcc/coastmap_substrate_mgs
title: Median grain size of North Sea surface sediments

description: Project: coastMap - coastMAP is the marine geoportal of the Institute of Coastal Research, Helmholtz-Zentrum Geesthacht (HZG). It combines analyses and model data referring to seafloor conditions and the overlying water column, with a focus on the German Bight in the North Sea. The portal is the entry point to search for, visualize and access existing geodata and information products at HZG and partner institutions. More information see www.coastmap.org . Summary: purpose: The map shows the median grain size (or d50) of surface sediments in the North Sea predicted by interpolation of legacy grain size distribution data. It has been produced to aid in describing physical habitat characteristics and to supply consistent baseline data and boundary conditions for ecological and biophysical modelling. abstract: In grain size analysis, the median is the midpoint of the cumulative particles size distribution curve of a sediment sample. The median grain size is an important biophysical variable that relates to sediment stability and often can be mapped with a quantifiable correspondence to the occurrence of benthic species and assemblages. This map conveys information on the median grain size of seabed sediments in the North Sea. It has been produced with multivariate geostatistics (external drift kriging) using the percentage mud content as a trend variable. The underlying data set is a compilation of over 30,000 sediment samples from many national and European surveys conducted over a period of more than 50 years. Due to the vintage of some samples in the database, users are advised to consider the dynamic nature of the seafloor when using the data and when creating derived surrogate based habitat maps. Also, due to the diversity of sources for the pointdata, users should be aware of the differing methods by which the grain size analyses were conducted. As a consequence, map confidence is not necessarily uniform and thus areas not always comparable, even though the interpolation surface my look continuous.
DOI: 10.5066/f7513x35
title: Data on Midwest stream diatom and stressors, 2013

description: The objective of this study was to assess the comparative influence of multiple stressors on benthic diatoms at 98 sites that spanned a range of stressors that occurred in an agricultural dominated region in the upper Midwest, USA. The primary stressors of interest included: nutrients, herbicides and fungicides, sediment, and streamflow; though the influence of physical habitat was incorporated in the assessment. The study area covered portions of 12 states (600,000 km2), with agriculture the dominate land use. The 98 sites used in this study consisted of 49 randomly selected EPA National Rivers and Streams Assessment sites combined with 49 targeted USGS sites. Thirty-seven of the targeted sites were selected to fill in the agricultural land use gradient that was defined by a combination of the percentage of row crop agriculture and the toxicity-weighted pesticide use (TWU) within the basin. The remaining sites were located at reference and urban settings. Nutrient, pesticide, and suspended sediment samples were collected weekly over a 6-week period from July to early August, 2013, with benthic algae collected and stream habitat quantified at the end of the 6-week period. Streamflow was measured continuously using USGS streamflow gaging stations and pressure transducers at non-gaged sites; water temperature was measured continuously using Hobo sensors.
DOI: 10.5066/f75t3jdk
title: Field properties and results of laboratory analysis of groundwater samples collected from 79 wells in Pike County, Pennsylvania, 1982-2015

description: Water-quality data for groundwater samples collected by the U.S. Geological Survey from 79 wells in Pike County, Pennsylvania, 1982-2015. Data consist of field properties and results of laboratory analysis for concentrations of inorganic constituents, dissolved gases (methane, ethane and propane), radon-222, gross alpha and beta radioactivity, radium-226, and volatile organic compounds (VOCs) and methane isotopic composition in groundwater samples. Dataset prepared as part of 2015 study for which 79 wells were sampled and includes comparable results for 18 of the 79 wells that were sampled for previous studies in years 1982, 2007, 2011-13. In 2015, groundwater samples from all 79 wells were analyzed for all constituents except radium-226, VOCs, and methane isotopic composition; samples from 13 wells were analyzed for radium-226, samples from 20 wells were analyzed for VOCs; and samples from 10 wells were analyzed for methane isotopic composition.
DOI: 10.15468/rf5geo
title: Radiolaria taxa in the Norwegian Sea and Arctic Ocean

description: Radiolaria taxa in the Norwegian Sea and Arctic Ocean
DOI: 10.5066/f7kd1wc3
title: Benthic pore water and sediment data Barnegat Bay, New Jersey, 2012-2013

description: This data set presents pore water nutrient concentrations and sediment oxygen demand (SOD) measurements made at 12 locations around the margin of Barnegat Bay and at 3 locations in central Barnegat Bay. The data were collected during 2012-2013 for the Barnegat Bay Nutrient Study in cooperation with the New Jersey Department of Environmental Protection. Table 1 presents the site data including site name, geographical location, site ID, and latitude and longitude. Table 2 presents concentrations of water quality constituents measured in water at the sediment interface and in pore water. Pore water was measured using in-situ equilibrium dialysis samplers (peepers) deployed at the stations. Measured concentrations in pore water were used to calculate nutrient flux rates between sediment pore water and overlying Bay water. Tables 3 and 4 present the composition and grain-size distribution of sediment from the benthic surface at the test sites. Table 5 presents SOD test results including date, water parameters, test duration, and the parameters used to develop best-fit least-square lines to the oxygen consumption data; these include slope (the SOD rate), intercept, correlation coefficient, and calculated SOD. These data support the following publication: Wilson, T. and DePaul, V., 2017, In situ benthic nutrient flux and sediment oxygen demand in Barnegat Bay, New Jersey, in Buchanan, G.A., Belton, T.J., and Paudel, B., eds., A Comprehensive Assessment of Barnegat Bay-Little Egg Harbor, New Jersey: Journal of Coastal Research, Special Issue 78, p. 46-59, https://doi.org/10.2112/SI78-005.1.
DOI: 10.14469/hpc/3433
title: Separate reactants -1216.568101 (0.0) 10.14469/hpc/3433 G3BJ

description: Gaussian Calculation
DOI: 10.14469/hpc/3434
title: Dimer + 3H2O --1216.555563 (+7.9) 10.14469/hpc/1904 G3BJ

description: Gaussian Calculation
DOI: 10.14469/hpc/3435
title: Product + MeNH2 -1083.037634 (0.0) 10.14469/hpc/3435 G3BJ

description: Gaussian Calculation
DOI: 10.14469/hpc/3438
title: (S)-N-(1-Phenylethyl)cyclobutanecarboxamide (14)

description: (S)-N-(1-Phenylethyl)cyclobutanecarboxamide (14)
DOI: 10.14469/hpc/3439
title: TI3 -987.152563 (+14.6) 10.14469/hpc/3439 S3BJ

description: Gaussian Calculation
DOI: 10.4119/unibi/2914786
title: Supplementary Material for "Klima|Anlage - Performing Climate Data"

description: The supplementary material contains sound examples from the Klima|Anlage ("Climate Control Unit") performing climate data from 1950 to 2100 for various regions. The overall soundscape of the Klima|Anlage has distinct sounds that can be followed over time and compared for different regions (one at a time). The eleven-year solar cycle leads to a slowly pulsating harmonic spectrum on a tetrachord instrument, with a period of roughly one minute; it is slowly detuned over time according to radiation balance data. Thunder sheets follow shorter, yearly cycles of the air temperature, and oscillate between a low grumbling and high intensity rattling. The noise of two marble plates placed on a record player mimics large wind intensities in the higher atmosphere, changing from left to right in the stereo panorama as the wind direction reverses. Furthermore, resonant water drops vary in their rate from random single drops to heavy rain sound. Finally, an electronic „beep“ sound is used to map the global greenhouse gas emission concentrations and provide orientation over time. The beeping rate increases with rising concentrations. <br> <br> Tibet: <br> Northern Europe: <br> Amazon: <br> Australia: <br> Greenland: <br> Sahara: <br> Indonesia: <br> Western North America: <br> South Africa: <br> East Canada: <br> Central Asia: <br> Middle Europe:
DOI: 10.4119/unibi/2915541
title: Simulated movies of fluorescently stained bacteria

description: Simulated biomovies of fluorescent cells were created by employing cell simulation based on shape, texture, growth and motion information. They are depicted in fluorescent channels where noise and other artifacts were additionally modeled. While the original cell simulation software (Wiesmann et al. 2013) has been extended for biomovie simulation, the step for bacterial growth simulation is similar to image simulation. First, the cell shape is calculated. Second, the cell position on the image grid is calculated. Third, the cell texture is added. Fourth and last, imaging artifacts and noise are added to the final image.
DOI: 10.5066/f7125rvt
title: The impact of lidar elevation uncertainty on mapping intertidal habitats on barrier islands

description: These data represent low-lying lands and intertidal lands on Dauphin Island, Alabama, USA for January 2015. These data were delineated using airborne lidar elevation data, in situ elevation observations, lidar metadata, and tide gauge information. We applied Monte Carlo simulations to incorporate uncertainty into a digital elevation model and produce probabilistic outputs with regards to elevation relative to tide and water levels. Specifically, these include three error treatments, including leaving error untreated, and treating error via simulating the propagation of error using Monte Carlo simulations with error and bias estimates from the lidar metadata and site-specific Real-time Kinematic Global Position System data, respectively. This data release also includes a sensitivity analysis to help visualize how a suite of alternative error and bias values affect the Monte Carlo simulation results for the identification of low-lying lands. This data release includes the following three components, which are included in the attached ZIP file: 1) low_lying_lands directory which contains presence/absence rasters for low-lying lands (Raster data) and validation points for low-lying lands (Vector data); 2) intertidal_lands which includes presence/absence rasters for intertidal lands (Raster data); and 3) senstivity_analysis which includes presence/absence rasters for low-lying lands for various alternative bias and error parameters (Raster data).
DOI: 10.5066/f72v2dmn
title: Soil-Water-Balance model data sets for the Cannon River drainage basin, southeast Minnesota, 1995-2010

description: A soil-water balance model (SWB) was developed to estimate potential recharge and surface runoff for portions of the Cannon River drainage basin, southeast Minnesota, for the period 1995 through 2010. The model was used in the creation of Cannon River streamflow distribution maps, as part of the associated report, U.S. Geological Survey Scientific Investigations Map 2017-3390 (http://dx.doi.org/10.3133/SIM20173390). This SWB model was calibrated using three independent hydrograph separation models: PART, Hysep-fixed, and Hysep-sliding method. The basic framework for this model was the statewide Minnesota SWB potential recharge model, described, calibrated, and documented as part of U.S. Geological Survey Scientific Investigations Report 2015-5038 (http://dx.doi.org/10.3133/sir20155038). Daymet (version 2) daily surface weather data necessary for running this SWB model, including "prcp", "tmax", and "tmin", can be downloaded from this SWB model archive. Alternatively, the Daymet v2 are available upon request through the following link: https://doi.org/10.3334/ORNLDAAC/1219.
DOI: 10.5066/f7r210jp
title: Cross-Section Geometry and Sediment-Size Distribution Data from Muddy Creek and North Fork Gunnison River below Paonia Reservoir, western Colorado, 2017

description: This data set contains cross-section geometry and sediment-size distribution data collected in the fall of 2017 from Muddy Creek and North Fork Gunnison River below Paonia Reservoir, western Colorado. Six cross-sections were surveyed using Real-Time Kinematic Global Navigation Satellite System (RTK-GNSS) methods to document channel geometry below the reservoir in 2015. Those same cross-sections were re-surveyed using the same methods in 2016 and 2017 to document any changes. One cross-section was surveyed on Muddy Creek below Paonia Reservoir, and five cross-sections were surveyed from North Fork Gunnison River below Paonia Reservoir. All six cross-sections are incorporated in this data release within one shapefile. Pebble counts were performed at each of the six cross-sections to document sediment-size distributions downstream from the reservoir. Four transects were located in the vicinity of each cross-section, where sediment size was measured and recorded. All of the sediment-size distribution data are presented in .CSV files, with one file for each cross-section location incorporating all of the data for each of the four transects at that location.
DOI: 10.5281/zenodo.1115522
title: Dung removal and secondary seed dispersal data

description: The datasets are described in the following data paper:<br> <br> Tanja Milotić, Christophe Baltzinger, Carsten Eichberg, Amy Eycott, Marco Heurich, Jörg Müller, Jorge Ari Noriega, Rosa Menendez, Jutta Stadler, Réka Ádám, Tessa Bahiga Bargmann, Isabelle Bilger, Jörn Buse, Joaquin Calatayud, Constantin Ciubuc, Gergely Boros, Marie Hauso, Pierre Jay-Robert, Märt Kruus, Enno Merivee, Geoffrey Miessen, Anne Must, Elham Omidzadeh Ardali, Elena Preda, Iraj Rahimi, Dirk Rohwedder, Eleanor M. Slade, László Somay, Pejman Tahmasebi, Stefano Ziani, Maurice Hoffmann (2018) Dung beetle assemblages and associated dung removal and secondary seed dispersal: data from a large-scaled multi-site experiment in the Western Palaearctic. Frontiers of Biogeography, Volume 10, Issue 1-2.
DOI: 10.5281/zenodo.1115523
title: Dung removal and secondary seed dispersal data

description: The datasets are described in the following data paper:<br> <br> Tanja Milotić, Christophe Baltzinger, Carsten Eichberg, Amy Eycott, Marco Heurich, Jörg Müller, Jorge Ari Noriega, Rosa Menendez, Jutta Stadler, Réka Ádám, Tessa Bahiga Bargmann, Isabelle Bilger, Jörn Buse, Joaquin Calatayud, Constantin Ciubuc, Gergely Boros, Marie Hauso, Pierre Jay-Robert, Märt Kruus, Enno Merivee, Geoffrey Miessen, Anne Must, Elham Omidzadeh Ardali, Elena Preda, Iraj Rahimi, Dirk Rohwedder, Eleanor M. Slade, László Somay, Pejman Tahmasebi, Stefano Ziani, Maurice Hoffmann (2018) Dung beetle assemblages and associated dung removal and secondary seed dispersal: data from a large-scaled multi-site experiment in the Western Palaearctic. Frontiers of Biogeography, Volume 10, Issue 1-2.