cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25592/uhhfdm.9758
title: Doppler wind lidar wind and gust data from FESSTVaL 2019/2020, Falkenberg, data version 01

description: This data set contains <strong>level 1 and level 2 Doppler wind lidar measurements</strong> during 2019-08-15 and 2020-08-31 from different configurations and three different instruments (Halo Photonics Streamline). The purpose of the project part was to evaluate the ability of lidars to retrieve wind gusts. The instruments were replaced next to the Falkenberg meteorological tower in order to have a reference measurement of a sonic anemometer at 90.3m.

The level 2 data are reproducible with this (https://doi.org/10.5281/ZENODO.5780949) code.

The data are structured in folders for years (fesstval_2019 and fesstval_2020), for different devices (wl_***, sonic), and foldersof the corresponding different configurations. For each configuration there are the Level 1 files in level_1_** (where ** denoted the creator) and Level 2 files in level_2_js. The folder /sonic contains Level 2 files for the sonic anemometer in 90.3m of the Falkenberg meteorological tower. In the folders are daily netcdfs-files in SAMD convention with radial Doppler velocities (level1) and 10 minutes mean wind and wind gust peaks (level 2). The lidar wl_44 (fesstval_2020) was located in Lindberg (~5km north of Falkenberg).

<br>
<strong>Quality</strong>:<br>
The data set does not contain a full time period but the result of a test campaign where configuration changes and breaks where made. The retrieval contains uncertainty estimates for each retrieved wind value. The data are based on a  new approach and further testings are appropriate.

<br>
<strong>Instruments</strong>:


 HALO Photonics Dopller lidar (system_ids: 177, 78, 143, 44, 172)
 Metek ultrasonic wind anemometer (factory version USA-1, 20Hz)


<strong>Location: </strong>Latitude 52,16715, Longitude 14,12275. Falkenberg, Germany<br>
<strong>Instruments altitude: </strong>Latitude 52,16715, Longitude 14,12275. Falkenberg, Germany

<strong>Provenance and History:</strong><br>
Level 1 files have been created by Deutscher Wetterdienst, Meteorologisches Observartorium Lindenberg.
description: Project: FESSTVaL (Field Experiment on submesoscale spatio-temporal variability in Lindenberg), 
a measurement campaign initiated by the Hans-Ertel-Center for Weather Research.
description: {"references": ["JSteinheuer. (2021). JSteinheuer/DWL_retrieval: DWL retrieval (v1.0). Zenodo. https://doi.org/10.5281/zenodo.5780949"]}
DOI: 10.5281/zenodo.14630025
title: Ross Ice Shelf ICESat-1 Time Series of Frontal Deformation and Calving

description: This dataset contains 11 ICESat 1 transect from 2003 to 2009 of repeated altimetry profiles along the front of Ross Ice Shelf. The data show a frontal deflection that grows in time, with an intermediate calving event that leads to ice shelf retreat and loss of the frontal deflection.
DOI: 10.5281/zenodo.3965682
title: In-time particle simulation (Itpas) - sample data

description: Itpas is a Lagrangian particle dispersion model, online coupled to the weather forecast model COSMO. This archive contains a sample data set of the Itpas output and the associated meteorological data fields. The model domain covers an area from eastern Germany to central Poland including the cities of Berlin and Poznan (lower left corner: 51°N 12°E, upper right corner: 54.4°N 19.3°E) and has a size of 167 x 150 grid cells with a spatial resolution of 2.8 km and 50 vertical levels.<br> The data is assigned to May 31, 2017 form 08 UTC to 23 UTC l.nc -&gt; Atmospheric data produced by the COSMO-model part_t001200_p001.nc<br> part_t001260_p001.nc -&gt; Trajectories emitted in the morning from 08:50 to 09:45 UTC part_t001380_p001.nc<br> part_t001440_p001.nc -&gt; Trajectories emitted at noon from 11:40 to 12:30 UTC mean_traj.txt -&gt; position of the mean trajectory [time rot_lon rot_lat z_sea z_surface]<br> stda_traj.txt -&gt; standard deviation of the mean trajectory The data can be used as sample data for the following software:<br> https://github.com/mttfst/trajectory-plot<br> https://github.com/mttfst/trajectory-cross-section
DOI: 10.5281/zenodo.5652265
title: Daily 1-km gap-free PM2.5 grids in China, v1 (2000–2020)

description: A Long-term Gap-free High-resolution Air Pollutants concentration dataset (abbreviated as LGHAP) is of great significance for environmental management and earth system science analysis. In the current release of LGHAP aerosol dataset (LGHAP.v1), we provide a 21-year-long (2000–2020) gap free PM2.5 concentration product with daily 1-km resolution covering the land area of China. The dataset was generated from the daily gap free AOD (https://doi.org/10.5281/zenodo.5652257) that was derived through an integration of a set of data tensors of AOD and other related datasets such as air pollutants concentration and atmospheric visibility acquired from diversified sensors or platforms via a machine learned regression model. The dataset was provided in the NetCDF format, while data in each individual year were archived in a zip file. Python, Matlab, R, and IDL codes were also provided to help users read and visualize the LGHAP data.
DOI: 10.5445/ir/1000144632
title: Kinetics, SOA yields and chemical composition of secondary organic aerosol from β-caryophyllene ozonolysis with and without nitrogen oxides between 213 and 313 K

description: The data in the Excel file is related to the publication Gao et al., ACP, 2022. Each sheet of the Excel file corresponds to one plot in the publication. The data originates mainly from FIGAERO-CIMS and HR-ToF-AMS (both Aerodyne Inc.) measurements. “Kinetics, SOA yields and chemical composition of secondary organic aerosol from β-caryophyllene ozonolysis with and without nitrogen oxides between 213 and 313 K” Linyu Gao1,2; Junwei Song1,2; Claudia Mohr3; Wei Huang4; Magdalena Vallon1; Feng Jiang1,2; Thomas Leisner1,5; and Harald Saathoff1 1 Institute of Meteorology and Climate Research, Karlsruhe Institute of Technology, Karlsruhe, Germany 2 Institute of Geography and Geoecology, Working Group for Environmental Mineralogy and Environmental System Analysis, Karlsruhe Institute of Technology, Karlsruhe, Germany 3 Department of Environmental Science, Stockholm University, Stockholm, Sweden 4 Institute for Atmospheric and Earth System Research / Physics, Faculty of Science, University of Helsinki, Helsinki, Finland 5 Institute of Environmental Physics, Heidelberg University, Heidelberg, Germany Correspondence to: Linyu Gao (linyu.gao@kit.edu) and Dr. Harald Saathoff (harald.saathoff@kit.edu) Atmos. Chem. Phys. Discuss. [preprint], https://doi.org/10.5194/acp-2021-1067, in review, 2022. (accepted on April 4th, 2022)
DOI: 10.6096/aeroclo.1807
title: AEROCLO-sA F20 PLASMA2

description: The Photomètre Léger Aéroporté pour la surveillance des Masses d’Air (PLASMA, Karol et al., 2013) is an airborne Sun-photometer developped at Laboratoire d'Optique Atmosphérique (LOA, Lille, France). PLASMA2 operated from the SAFIRE Falcon 20 during AEROCLO-sA campaign.<br />
<br />
Observing strategy: <br />
PLASMA2 is a sun-tracking photometer providing aerosol optical depths over a wide spectral range (from 340 to 1640 nm).
DOI: 10.1285/i20705948v12n2p491
title: Examination of Entropy balancing technique for estimating some standard measures of treatment effects: A simulation study

description: In observational studies, propensity score weighting methods are regarded as the conventional standard for estimating the effects of treatments on outcomes. We introduce entropy balancing, which despite its excellent conceptual properties, has been under-utilized in the applied studies. Using an extensive series of Monte Carlo simulations, we evaluated the performance of entropy balancing, in estimating difference in means, marginal odds ratios, rate ratios and hazard ratios. The performance of entropy balancing was relatively compared with that of inverse probability of treatment weighting using the propensity score. We found that entropy balancing outperformed the IPW method in estimating difference in means, marginal odds ratios, and hazard ratios, but when estimating marginal rate ratios, IPW performed better. Entropy balancing produced more biased estimates in many cases. However, the entropy balancing algorithm is capable of controlling bias by loosening the tightening of the pre-specified tolerance on covariate balance. We report findings as to when one technique is better than the other with no proclamation on whether one method is in every case superior to the other. Entropy balancing merits more widespread adoption in applied studies.
DOI: 10.14768/d2569664-3578-4c8f-8a45-25a927c8ed64
title: Some land surface variables simulated by ORCHIDEE r4783

description: This dataset contains the simulated variables detailed and analyzed in Mizuochi et al. (2020). Nine variables are provided for two global simulations with the land surface model ORCHIDEE (revision 4783): the forced simulation (forced by prescribed meteorological conditions, and labelled FG3.4783.v3 in this archive) is provided over 1979-2009 at a 0.5°x0.5° resolution; the coupled simulation (coupled to the LMDZ atmospheric model, and labelled CL5.4783.v3 in this archive) is provided over 1984-2014 at a 2.5°x1.25° resolution. This leads to 18 files, one for each variable and each simulation, which all give the time series of monthly mean values at each grid point in netdcf format. The nine variables (with the corresponding label in filenames, and unit) are: surface soil moisture (mrsos, in kg/m²), evapotranspiration (evap, in mm/d), leaf area index (lai, unitless), visible and near-infrared albedo (alb_vis and alb_nir, both unitless), liquid and solid precipitation (rain and snowf, both in mm/d), snowpack water equivalent (snow, in kg/m²), and the fraction of each plant functional type in each grid cell (maxvegetfrac, unitless). The latter variable is constant throughout each year, but varies every year because of land cover change.
DOI: 10.1594/pangaea.753577
title: Chlorophyll, net oxygen production and respiration rates measured on water bottle samples at List Intitute Beach, 1994-2007

description: For the determination of primary production surface water samples are filled into Winkler bottles. The sampling station is located directly in front of the institute. Samples are taken at least 3 hours before high tide (high tide should be around midday). In part of the samples the oxygen content is measured immediately (with a WTW-Multilab Pilot probe for oxygen and pH). The remainder of the samples is divided into two groups: 1. light incubation (to measure production), 2. dark incubation (o-value/respiration). The dark incubation bottles are wrapped in aluminium foil to shut out all light. At the sampling site the the samples are suspended from a rope (height above the bottom about 40 cm) for at least 6 hours. Afterwards the oxygen content, and lately also the pH, of both light and dark bottles is measured.In the samples taken in the morning chlorophyll content is determined in addition to pH. Samples for phytoplankton analyses are also taken.Work is carried out according to the "Recommendations on methods for marine biological studies in the Baltic Sea - Phytoplankton and Chlorophyll (The Baltic Marine Biologists, 5, L. Edler (ed), 1979)".
DOI: 10.1594/pangaea.860613
title: Phytoplankton primary production at Koenigshafen, List/Sylt, in 2014
DOI: 10.1594/pangaea.880599
title: Gelatinous zooplankton abundance at Sylt Roads - Wadden Sea off List, Sylt, North Sea in 2009
DOI: 10.1594/pangaea.880606
title: Gelatinous zooplankton abundance at Sylt Roads - Wadden Sea off List, Sylt, North Sea in 2016

description: Individuals per three hauls. If less than three hauls were conducted it was noted down in the comment column.
DOI: 10.21335/nmdc-1821443450
title: Dissipation measurements from AUV transects across a surface temperature front in the Barents Sea

description: Ocean microstructure data were collected using a turbulence package mounted on a light autonomous underwater vehicle (LAUV) during a cruise in February 2021, to study ocean mixing processes near a surface temperature front in the Barents Sea. The cruise onboard R/V Kronprins Haakon (KH2021702) was part of the Nansen Legacy project, funded by the Research Council of Norway. Turbulence data were collected using a modified version of a Rockland Scientific MicroRider mounted on the LAUV. Dissipation rate was measured using two airfoil shear probes. The measurements are from a 5 hour mission from 3 horizontal transects at target depths of 10, 20 and 30 m. The dataset is processed and prepared following the SCOR Working Group ATOMIX guidelines and recommendations. The provided file includes four levels: the continuous time series of full resolution data converted into physical units; the cleaned time series used for spectral analysis, wavenumber spectra and the dissipation rate estimates. Additional data from the LAUV with flight kinematics, location, temperature and salinity are also included. Further details are provided in the comments.
DOI: 10.21947/raaw/1984650
title: RAAW

description: High-fidelity wind turbine modeling advances necessitate model validation datasets of equally high fidelity. The Rotor Aerodynamics, Aeroelastics & Wake (RAAW) project was designed to address this need. This three-year project runs from October 2021 through October 2024 starting with a field data collection period followed by model validation activities. RAAW is a partnership between GE Renewable Energy and the United States Department of Energy (DOE) through the National Renewable Energy Laboratory (NREL) and Sandia National Laboratories. The field experiment is designed to make detailed measurements of the inflow, wind turbine response, and the resulting wake. The experimental dataset will be suitable for validating wind turbine models across the fidelity spectrum from actuator disk methods to blade-resolved codes.
DOI: 10.23728/b2share.b605d85809ca45679b110719b6c6cb11
title: Digital Objects as Drivers towards Convergence in Data Infrastructures

description: In a recent paper Wittenburg & Strawn argued that it is time to come to convergence in the domain of data based on an analysis of the developments of earlier large infrastructures such as electricity, the Internet and the Web. In this paper we look from a technical point of view how the concept of Digital Objects (DO) with its inherent abstraction, binding and encapsulation potential could help us to build FAIR compliant data infrastructures as envisaged for example by the European Open Science Cloud. Basic components of such a DO-based approach have been specified and are being used by some scientific communities.
DOI: 10.24355/dbbs.084-202404161050-0
title: Elevational ranges of pioneer marsh species on the back-barrier island Spiekeroog, Germany

description: The dataset includes the collected field data concerning the elevation-mediated pioneer plant species composition in salt marshes. The data were addressed and analysed in the paper “Biotic interactions and site characteristics mediate species-specific elevational niches in salt marsh foremost zones”. The species data (occurence: presence/absence; composition: cover in %) were collected in 2022 in the NW salt marshes on the back-barrier island Spiekeroog, Germany to test if species have different elevational niches, which are shaped by local abiotic conditions and interspecific interactions. Salt marsh species occurrences and covers were measured along 65 seaward-landward transects at two study sites differing in successional age. Elevations were extracted from a digital terrain model.. This data publication contains the original data set containing all relevant data that are needed to reproduce the results and figures of the named publication.
DOI: 10.3886/icpsr37491.v2
title: The Common Sense Census: Media Use by Kids Age Zero to Eight in America, A Common Sense Media Research Study, [United States], 2013, 2017
title: Version 2

description: The purpose of the Common Sense Census is to gather reliable data about media use of young American children (ages 0-8), and document how children's media environments and behaviors change over time. This data was gathered from large-scale, nationally representative, probability-based online surveys taken in 2013 and 2017. Parents of children ages 0 to 8 answered questions about the activities or content their children enjoy (e.g., watching videos, reading), their home media environment (e.g., which devices they have), attitudes towards their children's media and media use, and awareness of the American Academy of Pediatrics (AAP) recommendations. Demographic information includes the child's age, household income, parent education, race/ethnicity, gender, household size, and parent/caregiver employment status.
description: The purpose of this study was to gather reliable data about children's media use, including which platforms they are using, the activities or content they are engaging in, and how media use varies by age, gender, and socioeconomic status.
description: These web-based surveys used a probability-based online panel to represent the United States. Respondents were randomly recruited using address-based sampling and random digital dial telephone surveys. The survey questionnaire was offered in English and Spanish.
description: Each data file contains two weight variables: <b>WEIGHT1</b> (sample weights for all qualified respondents), and <b>WEIGHT2</b> (sample weights for all qualified respondents per race group).
description: Data was collected from a nationally representative, cross-sectional survey of parents (N = 1,463 (2013); N = 1,454 (2017)) of children ages 8 and under, including an over-sample of Black and Hispanic/Latinx parents. The study used a probability-based online panel design to be representative of the United States. Members of the panel were randomly recruited to participate using address-based sampling and random-digit-dial telephone surveys. Households that were not already online were provided with notebook computers and dial-up Internet access for the purpose of participating. The survey questionnaire was offered in English and Spanish.
description: Datasets: DS0: Study-Level Files DS1: 2013 Data DS2: 2017 Data
description: Parents of children who are between the ages of 0 to 8. Smallest Geographic Unit: State
description: web-based surveyFor additional information on the Common Sense Census, please visit the Common Sense Media website.
DOI: 10.5066/f7k072r7
title: Shuttle Radar Topography Mission (SRTM) Non-Void Filled

description: The Shuttle Radar Topography Mission (SRTM) was flown aboard the space shuttle Endeavour February 11-22, 2000. The National Aeronautics and Space Administration (NASA) and the National Geospatial-Intelligence Agency (NGA) participated in an international project to acquire radar data which were used to create the first near-global set of land elevations. The radars used during the SRTM mission were actually developed and flown on two Endeavour missions in 1994. The C-band Spaceborne Imaging Radar and the X-Band Synthetic Aperture Radar (X-SAR) hardware were used on board the space shuttle in April and October 1994 to gather data about Earth's environment. The technology was modified for the SRTM mission to collect interferometric radar, which compared two radar images or signals taken at slightly different angles. This mission used single-pass interferometry, which acquired two signals at the same time by using two different radar antennas. An antenna located on board the space shuttle collected one data set and the other data set was collected by an antenna located at the end of a 60-meter mast that extended from the shuttle. Differences between the two signals allowed for the calculation of surface elevation. Endeavour orbited Earth 16 times each day during the 11-day mission, completing 176 orbits. SRTM successfully collected radar data over 80% of the Earth's land surface between 60 degree north and 56 degree south latitude with data points posted every 1 arc-second (approximately 30 meters).
DOI: 10.5066/p9079tqj
title: Infection prevalence and viral load in pacific herring exposed to erythrocytic necrosis virus (ENV) at 3 temperatures

description: Viral erythrocytic necrosis (VEN) is a disease of marine and anadromous fishes, which is poorly understood, largely because its causative iridovirus, erythrocytic necrosis virus (ENV), is intractable to cell culture. Natural VEN epizootics and observations studies in wild populations suggest that temperature may be an important disease cofactor. Here, a controlled laboratory exposure study provides evidence for a direct relationship between temperature and the progression of viral erythrocytic necrosis (VEN) in Pacific herring. Waterborne exposure of Pacific herring to kidney homogenates containing ENV resulted in the establishment of infections, characterized by high infection prevalence (89%; 40/45) and mean viral loads (5.5 log10- gene copies / ug DNA) in kidney tissues at 44 d post exposure. Viral loads were higher in herring from the ambient (9.0 �C) and warm (13.5 �C) treatments (6.1 - 6.2 log10- gene copies / total DNA) than from the cool (6.9 �C) treatment (4.3 log10- gene copies / total DNA). Similarly, the peak proportion of diseased fish was directly related to temperature (P &lt; 0.001), with cytoplasmic inclusion bodies detected in 21% of herring from the cool, 52% from the ambient, and 60% from the warm treatments. The mean disease load in each fish (enumerated as the percent of erythrocytes with cytoplasmic inclusions), increased with temperature from 15% in the cool, 36% in the ambient, and 32% in the warm treatments at 44 days post exposure. Transcriptional analysis indicated that the number of differentially expressed genes among ENV-exposed herring increased with temperature, time post exposure, and viral load. Correlation network analysis of transcriptomic data showed robust activation of interferon and viral immune responses in hepatic tissue of infected individuals independent of other experimental variables.
DOI: 10.5281/zenodo.11447367
title: PRESERVE-TROSY and SOFAST-TROSY experiments

description: NMR data sets
DOI: 10.5281/zenodo.4001576
title: Data for "Measurement report: Effects of NOx and seed aerosol on highly oxygenated organic molecules (HOM) from cyclohexene ozonolysis"

description: Includes the peak list of fitted compounds with their average "FitFactors", the normalised signal time series of the compounds from the CI-APi-ToF, the time series of condensation sink (CS), gas concentrations (O3 & NOx), temperature and relative humidity; and data for reproducing the main figures.
DOI: 10.5281/zenodo.4683086
title: Output data for the GMD publication gmd-2020-436

description: Output data used in the GMD publication: CM2Mc-LPJmL v1.0: Biophysical coupling of a process-based dynamic vegetation model with managed land to a general circulation model, Drüke et al. (https://doi.org/10.5194/gmd-2020-436)
DOI: 10.5281/zenodo.4921987
title: A national map of riverine median bed-material particle size over CONUS

description: This is a vector-format map (polyline shapefiles) of the median bed-material sediment particle size (D50) over the contiguous United States. This map is derived by combining the USGS sediment observations, the channel and watershed characteristics from two existing datasets (medium-resolution NHDplus and ScienceBase), and state-of-the-art machine learning techniques.
description: This research is supported by the Office of Science of the U.S. Department of Energy as part of the Earth System Modeling program through the Energy Exascale Earth System Model (E3SM) project. The Pacific Northwest National Laboratory is operated by Battelle for the U.S. Department of Energy under Contract DE-AC05-76RLO1830.
DOI: 10.5281/zenodo.5052639
title: Representation of the Autoconversion from Cloud to Rain

description: Modified WRF model codes Initial and boundary conditions for the simulations (wrfinput and wrfbdy, and OBS_DOMAIN files for FDDA)