cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.16904/envidat.87
title: Soil net nitrogen mineralisation across global grasslands

description: This dataset contains all data on which the following publication below is based.
Paper Citation:
Risch, A. C.; Zimmermann, S.; Ochoa-Hueso, R.; Schütz, M.; Frey, B.; Firn, J. L.; Fay, P. A.; Hagedorn, F.; Borer, E. T.; Seabloom, E. W.; et al. Soil net nitrogen mineralisation across global grasslands. Nat. Commun. 2019, 10 (1), 4981 (10 pp.). doi.org/10.1038/s41467-019-12948-2
Please cite this paper together with the citation for the datafile.
We conducted coordinated measurements of realised and potential soil net Nmin, and assessed water holding capacity, bulk density, C and N content, texture, pH, pore space, microbial biomass, and archaeal (AOA) and bacterial (AOB) ammonia oxidiser abundance using identical materials and methods across 30 grasslands on six continents. The sites covered a globally relevant range of climatic and edaphic conditions. Climate data was obtained from worldclim - Global climate data https://www.worldclim.org/
description: Resource Title: soil-net-nitrogen-mineralisation-across-global-grasslands
 Size: 33527 bytes
 Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
 URL: https://www.envidat.ch/dataset/109ef559-0459-4056-aff5-282374d01ff9/resource/24108011-8b7b-4da0-9742-2f05576ecbc1/download/risch-et-al._soil-net-nitrogen-mineralisation-aross-global-grasslands.xlsx
 Description: site.code: Site code

Continent: Continent

sampleID: Sample ID

nn.latitude: Lattitude

nn.longitude: Longitude

bioclim.T.ann: Mean annual temperature (°C)

bioclim.T.var: Temperature variability (°C)

bioclim.T.q.wet: Temperature of the wettest quarter (°C)

bioclim.T.q.dry: Temperature of the driest quarter (°C)

bioclim.T.q.warm: Temperature of the warmest quarter (°C)

bioclim.P.ann: Mean annual preciptiation (mm)

bioclim.P.q.wet: Precipitation of the wettest quarter (mm)

ch.pH: pH

ch.WSK.vol: Water holding capacity (vol%)

ch.bulkdensity.gcm3: Bulk density (g cm-3)

ch.porespace: Pore space (vol%)

ch.sand.perc: Soil texture: sand (%)

ch.silt.perc: Soil texture: silt (%)

ch.clay.perc: Soil texture: clay (%)

ch.NO3start.mgg: NO3 at the beginning of the incubation (mgkg)

ch.Ntot.perc: Total soil N (%)

ch.Ctot.perc: Total soil C (%)

ch.Corg.perc: Soil organic C (%)

ch.netNminfield.mgkgd: Realised soil net N mineralisation (mg kg-1 d-1)

ch.netNminlab.mgkgd: Potential soil ne N mineralisation (mg kg-1 d-1)

archaea.cpg.log: Ammonia oxidising archaea (archaeal amoA gene copies g-1 soil)

bacteria.cpg.log: Ammonia oxidising bacteria (bacterial amoA gene copies g-1 soil)

micr.biom: Microbial biomass (ug g-1 soil)

ch.CtoN: C to N ratio

ch.netNnitriffield.mgkgd.sqrt: Realised soil net nitrification, transformed (mg kg-1 d-1)

ch.netNammoniffield.mgkgd.sqrt: Realised soil net ammonification, transformed (mg kg-1 d-1)

ch.netNnitriflab.mgkgd.sqrt: Potential soil net nitrification, transformed (mg kg-1 d-1)

ch.netNammoniflab.mgkgd.sqrt: Potential soil net ammonifiation, transformed (mg kg-1 d-1)
DOI: 10.17632/rrvxmtprc3.2
title: Novel propolis-aloe vera nanofilms as drug delivery systems for acute wound healing

description: Objective: To investigate the effect of nanopore rapid film (NRF) co-loaded with propolis and aloe vera extract in the treatment of wound healing. Methods: The porosity, mechanical properties, and water vapor transmittance rate (WVTR) of the materials were determined, and the effect of P-A-NRF in promoting cell proliferation and migration was evaluated, and the mechanism of wound healing in a mouse full-thickness wound model was provided. Results: P-A-NRF is rapidly film-forming within 5 min, which has a waterproof effect. The cell viability rate of P-A-NRF was more than 80%, and the cell migration rate reached more than 50%. In vivo experiments, the P-A-NRF group achieved a 98% healing rate at 14 days 70% in the commercially available liquid band-aid group, with faster wound healing. Conclusion: The film formed by P-A-NRF is uniform, soft, and malleable. It can enhance cell viability, promote cell proliferation and migration, and accelerate wound healing mainly by reducing inflammation, and antibacterial, and promoting angiogenesis and collagen deposition, which is a promising wound dressing.
DOI: 10.16904/envidat.153
title: Spatial modelling of ecological indicator values

description: Ecologically meaningful predictors are often neglected in plant distribution studies, resulting in incomplete niche quantification and low predictive power of species distribution models (SDMs). Because environmental data are rare and expensive to collect, and because their relationship with local climatic and topographic conditions are complex, mapping them over large geographic extents and at high spatial resolution remains a major challenge. Here, we derived environmental data layers by mapping ecological indicator values (EIVs) in space by using a large set of environmental predictors in Switzerland. 
This dataset contains the predictors (raster layers) generated and used in the following publication (Descombes et al. 2020). Only predictors for which we have the rights to share them are provided. Other datasets and predictors can be accessed via the original data provider. Details on the predictors and sources are fully described in the publication. The predictors are provided as GeoTIFF files, at 93 m spatial resolution and Mercator projection ("+proj=merc +lon_0=0 +k=1 +x_0=0 +y_0=0 +ellps=WGS84 +towgs84=0,0,0,0,0,0,0 +units=m +no_defs"). The excel file (xlsx) provides a short description of the raster layers.
Paper Citation:
Descombes, P. et al. (2020). Spatial modelling of ecological indicator values improves predictions of plant distributions in complex landscapes. Ecography. (accepted)
description: Resource Title: Description
 Size: 15032 bytes
 Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
 URL: https://www.envidat.ch/dataset/4ab13d14-6f96-41fd-96b0-b3ea45278b3d/resource/81c046c3-8d1d-45bc-a833-7d8240cebd12/download/predictors_description.xlsx
 Description: Description of the predictors provided in this dataset
description: Resource Title: Predictors
 Size: 1022643006 bytes
 Format: application/zip
 URL: https://www.envidat.ch/dataset/4ab13d14-6f96-41fd-96b0-b3ea45278b3d/resource/e0faab13-0d1b-492a-8539-5370d48b9e35/download/predictors.zip
 Description: Predictors generated and used in Descombes et al. (2020)
DOI: 10.16904/envidat.121
title: Radiosondes

description: Radiosondes (Windsond, Sparv Embedded AB) were started in Davos Wolfgang (LON: 9.853594, LAT: 46.835577) to report height profiles of pressure, relative humidity and temperature at specific days. In addition to regular launches of radiosondes, sondes were attached to [HoloBalloon](https://www.envidat.ch/group/clouds-in-situ-raclets) to report the ambient conditions of the in-situ measurements. Further profiles of meteorological measures were recorded at [HoloGondel](https://www.envidat.ch/group/clouds-in-situ-raclets) which was installed at the gondola moving between Gotschnaboden and Gotschnagrat at 2285 m a.s.l.
description: Resource Title: Radiosond Template Files
 Size: 123564 bytes
 Format: application/zip
 URL: https://www.envidat.ch/dataset/f6c38c8c-ab20-43a6-ae37-82117733df96/resource/4c57e9a6-e0b8-430d-964a-710306dadf78/download/template.zip
 Description: The "template" files contain standard parameters, i.e. ambient pressure (mbar and Pa), temperature (°C), relative humidity (%), wind speed (m s‾ ¹) and wind direction (true deg), as well as additional information, e.g. time (UTC and local time), dew point (°C), mixing ration (g/kg), density (kg m³), altitude (m MSL), height above ground (ft and m AGL), and geographic coordinates (longitude, latitude). If the wind speed was zero, no wind direction is given. 
The zip files contain ascents on the following days: 
February 10 (morning and afternoon), 
February 11 (morning), 
February 16 (afternoon), 
February 22 (morning), 
March 1 (morning), 
March 5 (morning), 
March 11 (morning), 
March 12 (morning), 
March 13 (morning), 
March 14 (morning), 
March 17 (afternoon), and 
March 18. 
The data was managed with Windsond Receiver Application Demo Version 2.92, (C) Sparv Embedded AB 2016.
description: Resource Title: Radiosond Sounding Files
 Size: 43199 bytes
 Format: application/zip
 URL: https://www.envidat.ch/dataset/f6c38c8c-ab20-43a6-ae37-82117733df96/resource/969c41f7-d197-45cc-8db2-259fedd02b9f/download/soundings.zip
 Description: The "soundings" radiosond data contains information on ambient pressure (mbar), temperature (C), relative humidity (%), wind speed (m s‾ ¹) and wind direction (true deg), and are ordered with respect to the height above ground (m AGL) with a step size of 20 m. The first line of each file idicates the geographic location and the start time (in UTC) of the ascent. If the wind speed was zero, no wind direction is given.
The zip files contain ascents on the following days: 
February 10 (morning and afternoon), 
February 11 (morning), 
February 16 (afternoon), 
February 22 (morning), 
March 1 (morning), 
March 5 (morning), 
March 11 (morning), 
March 12 (morning), 
March 13 (morning), 
March 14 (morning), 
March 17 (afternoon), and 
March 18. 
The data was managed with Windsond Receiver Application Demo Version 2.92, (C) Sparv Embedded AB 2016.
DOI: 10.16904/envidat.82
title: Stable water isotopes in precipitation and streamflow at Plynlimon, Wales, UK

description: The data base contains timeseries of stable water isotopes in precipitation and streamflow at Plynlimon, Wales, UK. One data set contains weekly stable water isotope data from the Lower Hafren and Tanllwyth catchments, and the other data set contains 7-hourly stable water isotope data from Upper Hafren. Both data sets also include chloride concentrations in precipitation and streamflow.
description: Resource Title: Data Set Documentation
 Size: 442506 bytes
 Format: application/pdf
 URL: https://www.envidat.ch/dataset/f4e1355d-d645-4419-bf89-67c70dd09dfc/resource/e4e4cc20-e46a-404c-88d4-963dce6a00b2/download/dataset_documentation__read_me_first.pdf
 Description: This file contains a documentation of the data sets, including references to other helpful documentations.
description: Resource Title: Weekly stable water isotopes
 Size: 154294 bytes
 Format: text/plain
 URL: https://www.envidat.ch/dataset/f4e1355d-d645-4419-bf89-67c70dd09dfc/resource/caa392e5-341e-412e-ba17-04b5ca2f9ee7/download/plynlimon_isotopes_and_chloride_weekly_2004_2009.txt
 Description: Data set of weekly stable water isotope data collected at Carreg Wen (precipitation) and Lower Hafren and Tanllwyth (streamflow).
description: Resource Title: 7-hourly stable water istopes
 Size: 1068983 bytes
 Format: text/plain
 URL: https://www.envidat.ch/dataset/f4e1355d-d645-4419-bf89-67c70dd09dfc/resource/b95e376b-5e72-4b1e-ae70-16a77fbe8b2c/download/plynlimon_isotopes_and_chloride_7hourly_2007_2009.txt
 Description: Data set of 7-hourly stable water isotope data measured at Carreg Wen (precipitation) and Upper Hafren (streamflow).
DOI: 10.17632/pwr5zzw64n.2
title: Survey Data to Evaluate Faculty Motivation, Management Support and Faculty Engagement on the Performance of Higher Educational Institutions

description: A survey was conducted to capture the antecedents of the performance of Higher Educational Institutions in Bhubaneswar, Cuttack, Ganjam, Puri and Sambalpur in the Odisha state of India. 436 faculty members from 55 higher educational institutions were contacted to elicit survey data on three exogenous variables namely, managerial support, faculty motivation, faculty engagement and the exogenous variable HEI performance. Data from the paper-based questionnaire survey was analyzed to evaluate direct and indirect causal relationships using SmartPLS 4.0 software.
DOI: 10.16904/envidat.114
title: Snow Drift Station - Snow and Air Data

description: Snow and air data was monitored at Gotschnagrat (LON: 46.859 LAT: 9.849) by an infrarot radiometer (Campbell SI-111) for snow temperature (°C), a snow height sensor (Lufft SHM-31) for snow height change (cm) and a temperature and humidity sensor (Campbell CS-215) for air temperature (°C) and relative humidity (%). No filter was applied to the sensors and the smapling frequency was 1 Hz.
description: Resource Title: Relative Humidity
 Size: 991506 bytes
 Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
 URL: https://www.envidat.ch/dataset/c589c4cf-9f53-4d76-b1df-bae465ddda1f/resource/64062bd7-0d09-4038-95cc-1028e196698e/download/air_relative_humidity.xlsx
 Description: The relative humidity (%) was measured with a Campbell CS-215 at a height of 2.2 m above ground. The time is given in UTC+1.
description: Resource Title: Air Temperature
 Size: 1049937 bytes
 Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
 URL: https://www.envidat.ch/dataset/c589c4cf-9f53-4d76-b1df-bae465ddda1f/resource/78d7e676-0f61-45a9-9dcf-67d0404e5382/download/air_temperature.xlsx
 Description: The air temperature (°C) was measured with a Campbell CS-215 which was mounted at a height of 2.2 m above ground. The time is given in UTC+1.
description: Resource Title: Snow Depth
 Size: 830403 bytes
 Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
 URL: https://www.envidat.ch/dataset/c589c4cf-9f53-4d76-b1df-bae465ddda1f/resource/50a2778f-14cd-4871-a9cc-67c1a4d1b31d/download/snow_depth.xlsx
 Description: The snow depth (cm) was measured with a Lufft SHM-31 which was mounted at 1.7 m above ground. The time is given in UTC+1.
description: Resource Title: Snow Surface Temperature
 Size: 1101244 bytes
 Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
 URL: https://www.envidat.ch/dataset/c589c4cf-9f53-4d76-b1df-bae465ddda1f/resource/7a1b830b-a1a2-42b8-8789-915904920f54/download/snow_surface_temperature.xlsx
 Description: The snow surface temperature (°C) was measured with a Campbell SI-111 at 0.7 m above ground. The time is given in UTC+1.
DOI: 10.16904/envidat.145
title: Average precipitation and PET over Switzerland at 500m resolution

description: Long-term (1980-2011) average annual precipitation (pcp_ch_longterm_yr_avg.tif) and potential evapotranspiration (pet_ch_longterm_yr_avg.tif) at 500m resolution. Units are mm per year. Files are GeoTIFF rasters, and can be read in R using the command raster("pcp_ch_longterm_yr_avg.tif), after installing packages "raster" and "rgdal".
description: Resource Title: 1980-2011 average precipitation over Switzerland at 500m resolution
 Size: 1197880 bytes
 Format: image/tiff
 URL: https://www.envidat.ch/dataset/475208bd-42d0-4a12-a1b0-e322f64fce5f/resource/02355670-67a9-4236-ae0f-1bab203db336/download/pcp_ch_longterm_yr_avg.tif
 Description: Long-term (1980-2011) average precipitation (in mm per year) at 500m resolution over Switzerland. GeoTIFF raster file can be read in R using the command raster(“pet_ch_longterm_yr_avg.tif”), after installing packages "raster" and "rgdal".
description: Resource Title: 1980-2011 average potential evapotranspiration (in mm per year) at 500m resolution over Switzerland
 Size: 1200978 bytes
 Format: image/tiff
 URL: https://www.envidat.ch/dataset/475208bd-42d0-4a12-a1b0-e322f64fce5f/resource/f6c57849-bf7a-4083-b65c-930d13e8e18a/download/pet_ch_longterm_yr_avg.tif
 Description: Long-term (1980-2011) average potential evapotranspiration (in mm per year) at 500m resolution over Switzerland. GeoTIFF raster file can be read in R using the command raster(“pet_ch_longterm_yr_avg.tif”), after installing packages "raster" and "rgdal".
DOI: 10.17632/hd28y6pg4g
title: Questionnaire data

description: Questionnaire data
DOI: 10.16904/envidat.117
title: Disdrometer Data Davos Wolfgang

description: The dataset contains information on precipitation amount and type for Davos Wolfgang (LON: 9.853594, LAT: 46.835577) from February 8 to March 19 2019. It includes: characteristics of hydrometeors (e.g. diameter, fall velocity, amount per diameter class,...), precipitation rate, radar reflectivity, visibility range, weather codes and instrument performance.
description: Resource Title: Disdrometer Data Davos Wolfgang
 Size: 11067673 bytes
 Format: application/zip
 URL: https://www.envidat.ch/dataset/9267d575-29d8-4a23-8a24-13df224b5ee5/resource/53584c2b-8ae2-48aa-8a86-de1479f3de2b/download/z6_auswertungcarolinuploaded_to_envidatdisdrometer_davos_wolfgang.zip
 Description: The zip folder contains one netCDF file per day for Davos Wolfgang from February 8 to March 19 2019 with a temporal resolution of 30 seconds (time in UTC) and includes:

- characteristics of hydrometeors (e.g. diameter, fall velocity, amount per diameter class,...)
- precipitation rate
- radar reflectivity
- visibility range 
- weather codes 
- instrument performance
DOI: 10.17632/hd28y6pg4g.1
title: Questionnaire data

description: Questionnaire data
DOI: 10.16904/envidat.129
title: Weather Station Klosters

description: A weather station (Lufft WS600) measured meteorological parameters at Klosters (LON: 9.880413, LAT: 46.869019). Detailed information on the specifications can be found [here](https://www.lufft.com/products/compact-weather-sensors-293/ws600-umb-smart-weather-sensor-1832/productAction/outputAsPdf/).
description: Resource Title: Weather Station Klosters
 Size: 1795860 bytes
 Format: application/zip
 URL: https://www.envidat.ch/dataset/f14e4d77-4be6-4123-a525-e0e50e0d89a1/resource/50076ac7-8cfa-451d-a1be-a7c05ed0cdca/download/raclets_weather_klosters.mat
 Description: All in one weather station measuring temperature (°C), humidity (%), wind (m s‾ ¹) and precipitation type. The time format is: number of days from January 0, 0000, UTC.
DOI: 10.16904/envidat.137
title: Weather Station Davos Wolfgang

description: The dataset contains weather parameters measured at Davos Wolfgang (LON: 9.853594, LAT: 46.835577).
description: Resource Title: Weather Station Davos Wolfgang
 Size: 528227 bytes
 Format: text/csv
 URL: https://www.envidat.ch/dataset/d8af6c55-9d5c-4c47-9a5d-cb65eeb68b75/resource/f0944b54-4ee9-496a-96a8-069ad5c73487/download/meteo_wop_10min.csv
 Description: The data file contains date and time (YYYY-MM-DD hh:mm:ss) in UTC, temperature (°C), relative humidity (%), pressure (hPa) at 10 m above ground and above sea level. The data was averaged over 10 minutes.
DOI: 10.16904/envidat.130
title: RADAR Wind profiler Davos Wolfgang

description: The RADAR wind profiler from Meteoswiss was installed at Davos Wolfgang (LON: 9.853594, LAT: 46.835577) and measured from 2171 m above sea level to 11079 m, with a temporal resolution of 10 minutes.
description: Resource Title: Radar Wind Profiler Data
 Size: 1751957 bytes
 Format: application/zip
 URL: https://www.envidat.ch/dataset/6d437f48-b12d-43c8-a2f8-8b01744f69a2/resource/9e43bd92-0602-443f-8117-3c59b45e9699/download/raclets_radar_wind_profiler.zip
 Description: A Vaisala Lap3000 was installed at Davos Wolfgang to record wind profiles. The time format is number of days fom January 0, 0000 in UTC with a 10 minute resolution.
DOI: 10.16904/envidat.131
title: Wind LIDAR Davos Wolfgang

description: Scanning wind Lidar from Meteoswiss was installed at Davos Wolfgang (LON: 9.853594, LAT: 46.835577) and measured from 200 m above ground to 8100 m. The time resolution is up to 5 seconds. The Lidar was measuring wind profiles but also performed plan position indicator (PPI) and range height indicator (RHI) scans.
description: Resource Title: Wind LIDAR data Wolfgang
 Size: 102147315 bytes
 Format: application/zip
 URL: https://www.envidat.ch/dataset/6312275a-0761-4754-a753-ba2b0e92fcca/resource/87076bc3-ff78-44e4-b0dd-a67a4c1dfe17/download/raclets_lidar_wind_profiler.zip
 Description: A Leosphere WidCube 100S was deployed at Davos Wolfang, measuring wind profiles as well as performing PPI and RHI scans. Time format is in UTC with highest time resolution of 5 seconds.
DOI: 10.16904/envidat.127
title: Ceilometer Klosters

description: Cloud base height (m) and vertical visibility (m) were measured with the VAISALA Ceilometer CL31 in Klosters (LON: 9.880413, LAT: 46.869019). The CL31 is an instrument with constant reliability for all weather conditions and simultaneous detection of three cloud layers in heights up to 7.6 km.
description: Resource Title: Ceilometer data Klosters
 Size: 277115662 bytes
 Format: .mat
 URL: https://www.envidat.ch/dataset/b938e2eb-20fc-4886-8329-9c8f20b0336b/resource/e114b93a-88ef-4575-9530-913971e8c6aa/download/raclets_ceilometer_klosters.mat
 Description: Ceilometer installed at Klosters measuring cloud base height, cloud cover and backscatter profile. The time resolution is 30 seconds, with time given in number of days from January 0, 0000, UTC. More information on the variables in the manufacturer manual.
DOI: 10.16904/envidat.128
title: Present Weather Sensor Klosters

description: A present weather sensor (Vaisala PWD22) was deployed in Klosters (LON: 9.880413, LAT: 46.869019) for weather observation, combining the functions of a forwardscatter visibility meter and a present weather sensor. Besides measuring ambient light, it detects the intensity as well as the amount of both liquid and solid precipitation. More information can be found in the [User's Manual](ftp://ftp.cmdl.noaa.gov/aerosol/doc/manuals/PWD22_Manual.pdf).
description: Resource Title: Present Weather Sensor Klosters
 Size: 760520 bytes
 Format: .mat
 URL: https://www.envidat.ch/dataset/45bb3cf1-2ab7-4757-92b2-b5f8fc09bfe9/resource/1eea4488-480c-428d-bebd-1943a446b94a/download/raclets_pwd_klosters.mat
 Description: Present Weather sensor measuring visibility and weather type installed at Klosters.
DOI: 10.17632/69zk2bf498
title: MIBC-TMA datasets

description: Pathological images and clinical data associated with MIBC-TMA datasets
DOI: 10.16904/envidat.120
title: Backward Trajectories

description: Backward trajectories were calculated from two positions: Davos Wolfgang (LON: 9.85361, LAT: 46.83551) and Weissfluhjoch (LON: 9.80646 LAT: 46.83304) for the time period February 2 until March 27 2019 using COSMO or ECMWF, respectively.
description: Resource Title: Backward Trajectories
 Size: 780533262 bytes
 Format: application/zip
 URL: https://www.envidat.ch/dataset/dcbfd36f-3b67-49c1-be77-0f5b75810fab/resource/70abac8a-b1c6-49a6-a1ac-a8e551e74eeb/download/backward_trajectories.zip
 Description: The trajectories are started from surface up to 5000 m altitude, with an equidistant vertical spacing of 200 m, and calculated 120 h backward in time. As long as the trajectories stay in the COSMO1 domain (essentially the Alpine region), as run operationally at MeteoSwiss, the COSMO analysis wind fields are used. When the trajectories leave this domain, they are extended further backward in time based on ECMWF analysis data. The following fields are traced along the trajectories: longitude, latitude, geopotential height, pressure, specific humidity, temperature and surface topography. Furthermore, it is indicated for each trajectory time instance on which model data, COSMO or ECMWF, the trajectory time is based. Finally, the trajectories are started every hour in the specified time period, and positions and fields are available every 10 min. Each day is saved as a separate file. The last 8 digits of the file names indicate the starting date of the trajectories.