cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.16904/envidat.409
title: Vertebrate and plant taxa recovered from 10 catchments in Vaud using an eDNA-metabarcoding approach

description: This dataset contains the results of a five-day field excursion which the extent to which eDNA sampling can capture the diversity of a region with highly heterogeneous habitat patches across a wide elevation gradient through multiple hydrological catchments of the Swiss Alps. Using peristaltic pumps, we filtered 60 L of water at five sites per catchment for a total volume of 1 800 L. Using an eDNA metabarcoding approach focusing on vertebrates and plants, we detected 86 vertebrate taxa spanning 41 families and 263 plant taxa spanning 79 families across ten catchments. This dataset includes two sets of data. The first (Genomic data) includes all the necessary data for the bioinformatic pipeline, whereas the second (Analysis Figures) contains tidied data and scripts for the reproduction of all figures/analyses in the article describing this study.
description: Resource Title: Field Metadata
 Size: 6661 bytes
 Format: text/csv
 URL: https://www.envidat.ch/dataset/f1df9abc-3fb8-4253-83a8-733f712ef768/resource/4d6f2c3d-0ae9-473e-8023-adf6e99d4aa7/download/field_metadata.csv
 Description: Information concerning the locations and times of sampling, as well as the identity of the samplers and relevant comments.
description: Resource Title: Genomic data
 Size: 5153960755 bytes
 Format: .zip
 URL: https://os.zhdk.cloud.switch.ch/envicloud/doi/envidat.409/eDNA_paper_bioinformatic_pipeline.zip
 Description: Fastq files, primer descriptions and the final output dataset.
description: Resource Title: Analysis and Figures
 Size: 238547 bytes
 Format: application/zip
 URL: https://www.envidat.ch/dataset/f1df9abc-3fb8-4253-83a8-733f712ef768/resource/a255cdf5-9d88-4ba7-83af-df37d3c6e665/download/02_analysis_figures.zip
 Description: This zipped file includes R scripts and the datasets required to run the analyses. A README describes the columns in each dataset.
DOI: 10.16904/envidat.641
title: WFJ_DailySMP - High-Resolution Snow Stratigraphy at Weissfluhjoch -- Davos 2015-ongoing

description: The WFJ_DailySMP dataset contains daily SnowMicroPen (SMP) measurements conducted throughout the winter seasons 2015-2025 (ongoing) at the Weissfluhjoch research site, Davos, Switzerland. The measurement program DailySMP started in winter 2015/2016 during which the measurement protocol was established as part of the RHOSSA campaign, described in the related publication.
Since then, measurements have been repeated every winter as part of the standard snow monitoring program by the PhD students at SLF. All published SMP files have undergone manual quality control by an expert, including a supervised detection of the snow surface, which is included in the dataset. 
In addition to the raw data, we provide a rudimentary post-processing workflow in which the derived SSA and density profiles are adjusted by the total snow height obtained from the adjacent IMIS snow station (https://www.slf.ch/en/avalanche-bulletin-and-snow-situation/measured-values/description-of-automated-stations/) and their evolution is plotted over time. Please refer to the README for detailed information on how to get started.
description: Resource Title: WFJ_DailySMP data access
 Size: 5388036473 bytes
 Format: No Info
 URL: https://envicloud.wsl.ch/#/?bucket=https%3A%2F%2Fos.zhdk.cloud.switch.ch%2Fenvicloud%2F&prefix=doi%2Fenvidat.641%2F
 Description: A huge thanks goes to the countless PhD students, without whom collecting this dataset would not be possible.
DOI: 10.16904/envidat.376
title: Photogrammetric Drone Data Dorfberg

description: The data was collected with a Wingtra Gen II drone and a Sony RX1R II sensor. In total, 10 flights were conducted at different dates, both in summer and winter. A DSM, an orthophoto, a snow depth raster and the original drone images from every flight are available at a high resolution (10cm and 3cm, respectively).
description: Resource Title: Data Access 
 Size: 618 bytes
 Format: No Info
 URL: https://envicloud.wsl.ch/#/?bucket=https://s3-zh.os.switch.ch/drone-data/&prefix=Wingtra/Dorfberg/
 Description: - 3cm-resolution Orthophoto 
- 10cm-resolution DSM 
- 10cm-resolution snow depth raster
- original RGB images 
- Agisoft Metashape Report

All products are also available as a cloud optimized geotiff.
DOI: 10.16904/envidat.581
title: Snow depth mapping by lidar station Braemabuel

description: We developed a monitoring system using low-cost lidar (Livox Avia) and optical sensors, to measure snow depth variations in an avalanche release area at a high spatiotemporal scale (centimeter to low decimeter spatial resolution and hourly temporal resolution). A detailed description of the setup and a first data analysis is published in: 
[Ruttner-Jansen, P., Voordendag, A., Hartmann, T., Glaus, J., Wieser, A., & Bühler, Y. (2024). Monitoring snow depth variations in an avalanche release area using low cost lidar and optical sensors. EGUsphere, 2024, 1-20.](https://nhess.copernicus.org/articles/25/1315/2025/)
This dataset contains hourly 3D lidar data of the snow surface at the test site Braemabuel in Davos, Switzerland from the winter season 2023-2024 (23.11.2023 - 14.04.2024). Braema1 is installed at 2191 m a.s.l. in the slope, looking up into the avalache release area, and Braema2 is installed at 2255 m a.s.l at the ridge, looking down. Both scans together cover an area of about 15000 m².
The data is in format ".las" and contains the points in XYZ [m], in the scanner own coordinate system
- scalar fields: intensity, return number, timestamp, tag, label
-- tag: binary code from Livox (see [Livox Avia Manual](https://terra-1-g.djicdn.com/65c028cd298f4669a7f0e40e50ba1131/Download/Avia/Livox%20Avia%20User%20Manual%20202204.pdf))
-- label: marking outliers (filtered by distance and SOR to get snow particles in the air)
description: Resource Title: Braema1
 Size: 22441204122 bytes
 Format: .zip
 URL: https://os.zhdk.cloud.switch.ch/envicloud/doi/envidat.581/braema1_23_24_v2.zip
 Description:
description: Resource Title: Braema2
 Size: 20937965568 bytes
 Format: .zip
 URL: https://os.zhdk.cloud.switch.ch/envicloud/doi/envidat.581/braema2_23_24.zip
 Description:
DOI: 10.15468/dl.bjwjvz
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Panicum maximum",
 "Country is Suriname",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028041-250811113504898/datasets/export for details.
DOI: 10.5281/zenodo.16908975
title: Dataset for: School Kitchen Ventilation Performance: A Multi-Metric Assessment of Comfort, Air Quality, and Energy Consumption

description: This dataset contains case-by-case results of indoor temperature, indoor air quality (CO₂ concentration, particulate matter), and energy consumption, which are provided in graphical form.The dataset includes processed outputs that correspond to the figures in the associated manuscript, allowing readers to reproduce the main results and compare scenarios.Detailed descriptions of the measurement procedures, data processing, and calculation methods are available in the published paper
DOI: 10.5281/zenodo.16908974
title: Dataset for: School Kitchen Ventilation Performance: A Multi-Metric Assessment of Comfort, Air Quality, and Energy Consumption

description: This dataset contains case-by-case results of indoor temperature, indoor air quality (CO₂ concentration, particulate matter), and energy consumption, which are provided in graphical form.The dataset includes processed outputs that correspond to the figures in the associated manuscript, allowing readers to reproduce the main results and compare scenarios.Detailed descriptions of the measurement procedures, data processing, and calculation methods are available in the published paper
DOI: 10.16904/envidat.521
title: Site description Davos Seehornwald CH-DAV

description: Site description of the Seehornwald Davos (CH-DAV) research site. The material provided offers information on the biomass and growth of trees in CH-DAV, including supporting materials such as maps, geolocations and analyses. CH-DAV is part of networks such as ICOS, LWF, TreeNet, ICPForests and is dedicated to forest monitoring and research.
description: Resource Title: Readme
 Size: 2476 bytes
 Format: application/rtf
 URL: https://www.envidat.ch/dataset/4d332ffa-d5f5-413c-ba1c-5f73ceebbed6/resource/7f13f634-76b5-4d56-aa5a-61140240f616/download/readme.rtf
 Description:
description: Resource Title: CH-DAV_Site_2024_V2.zip
 Size: 27267396 bytes
 Format: application/zip
 URL: https://www.envidat.ch/dataset/4d332ffa-d5f5-413c-ba1c-5f73ceebbed6/resource/41e3d87c-7907-4a01-bf5e-36a0d4457c40/download/ch-dav_site_2024_v2.zip
 Description: Collection of files with information about the research site Seehornwald Davos CH-DAV
description: Resource Title: CH-DAV_Site_2024.zip
 Size: 34214528 bytes
 Format: application/zip
 URL: https://www.envidat.ch/dataset/4d332ffa-d5f5-413c-ba1c-5f73ceebbed6/resource/73875879-bec0-4e15-a805-e6cd9d4fe596/download/ch-dav_site_2024.zip
 Description: Collection of files with information about the research site Seehornwald Davos CH-DAV
DOI: 10.16904/envidat.647
title: The influence of different forest management forms on the visual perceived attractiveness of forests for recreational use

description: The data results from a forest visitor survey that was conducted in June 2022 in the Waldlabor on Hönggerberg in Zurich. This questionnaire’s aim was to investigate how visitors perceived the different local forest management forms and to gain insights into the influence of visitors’ forest preferences, reasons for the visit and performed activities. The visual perceived forest attractiveness was collected based on six different survey locations featuring different forest management forms respectively different stages. This study was supported by the Waldlabor Zürich.
description: Resource Title: SPSS-Dataset
 Size: 108035 bytes
 Format: .sav
 URL: https://www.envidat.ch/dataset/76529e56-b3ba-43a5-9433-e2eb76b57718/resource/fec0b2ad-27cb-4fe4-afcd-02cb20a06d89/download/spss_datensatz_bewirtschaftungsformen-waldlabor.sav
 Description: The survey's dataset collected in the Waldlabor Hönggerberg, Zurich in SPSS-format.
description: Resource Title: Dataset in Excel-format
 Size: 148438 bytes
 Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
 URL: https://www.envidat.ch/dataset/76529e56-b3ba-43a5-9433-e2eb76b57718/resource/d7be3d25-5199-49b6-8de0-7bfd62e3821e/download/spss_datensatz_bewirtschaftungsformen-waldlabor.xlsx
 Description: The survey's dataset collected in the Waldlabor Hönggerberg, Zurich in Excel-format.
description: Resource Title: Codebook to SPSS-file
 Size: 130582 bytes
 Format: application/pdf
 URL: https://www.envidat.ch/dataset/76529e56-b3ba-43a5-9433-e2eb76b57718/resource/ad1e39f1-6797-4f57-9d33-713f544f7ffe/download/codebook_variablen.pdf
 Description:
description: Resource Title: Questionnaire German
 Size: 214415 bytes
 Format: application/pdf
 URL: https://www.envidat.ch/dataset/76529e56-b3ba-43a5-9433-e2eb76b57718/resource/52eb9892-e63b-4daf-be96-f70c08d6d460/download/fragebogen.pdf
 Description:
DOI: 10.15468/dl.eatzpr
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Panicum maximum",
 "Country is Thailand",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028042-250811113504898/datasets/export for details.
DOI: 10.15468/dl.ue6pd7
title: Occurrence Download

description: A dataset containing 1479 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Moxostoma poecilurum)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 1479 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028040-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.16904/envidat.577
title: Defoliation-Growth data

description: Using a literature review extracted data from 26 published papers which had data on individual tree defoliation and growth relationships In Europe.
This data set includes 415 defoliation-growth data points from 16 different tree species covering 15+ countries in Europe. Growth metrics used in individual papers were different, and included increments in terms of volume, tree rings width, radial growth, basal area and biomass. All growth metrics were converted into relative growth (presented in this dataset), expressed as a percentage of the growth of progressively defoliated trees in relation to the growth of those trees adopted as reference (control) defoliation level (i.e. the growth of the lowest defoliation level in each study was used as the reference growth point).
description: Resource Title: Growth_defoliation(Metadata).csv
 Size: 132421 bytes
 Format: text/csv
 URL: https://www.envidat.ch/dataset/81a23cbc-ab49-4cd1-98f2-b51f41a2b951/resource/fb6a850d-252f-4a61-84d5-34bac26f9110/download/growth_defoliationmetadata.csv
 Description:
DOI: 10.16904/envidat.518
title: Chicken Creek 10 years

description: Structural and functional changes of microbial communities in ephemeral stream sediments and adjacent soils between was assessed in an artificial newly created catchment at 3 and 13 years after catchment construction. Bacterial and fungal communities, respiration and extracellular enzyme activities were assessed.
description: Resource Title: Bacterial amplicon sequencing
 Size: 7228320 bytes
 Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
 URL: https://www.envidat.ch/dataset/79a1efb9-d34d-41ae-9f17-81e21192c9f7/resource/8fc928d0-5b3f-41a1-9326-e44a412ad6a1/download/bacteria-metagenomics-raw-data.xlsx
 Description: Bacterial ASVs and taxonomic tables
description: Resource Title: Fungal amplicon sequencing
 Size: 1436018 bytes
 Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
 URL: https://www.envidat.ch/dataset/79a1efb9-d34d-41ae-9f17-81e21192c9f7/resource/9195ccc2-7307-4f42-b698-52874737bf40/download/fungal-metagenomics-raw-data.xlsx
 Description: Fungal ASVs and taxonomic tables
description: Resource Title: Microbial functions and metadata
 Size: 58930 bytes
 Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
 URL: https://www.envidat.ch/dataset/79a1efb9-d34d-41ae-9f17-81e21192c9f7/resource/0f3324ec-664c-4977-a325-6bd37e1e52e9/download/functions-and-soil-metadata.xlsx
 Description: Extracellular enzyme activities, respiration and sites metadata
DOI: 10.16904/envidat.642
title: Simulation data and analyses of regional food web robustness under habitat loss

description: This dataset contains all processed data, simulation outputs, and R/Python scripts used to assess the robustness of regional multi-habitat food webs in Switzerland under various non-random species extinction scenarios. It accompanies the manuscript submitted to Communications Biology, and available as a preprint here: 
Reji Chacko, M, Albouy, C., Altermatt, F., et al. Decreases in the robustness of regional food webs to sequential species extinctions following habitat loss, 04 December 2024, PREPRINT (Version 1) available at Research Square [https://doi.org/10.21203/rs.3.rs-5225132/v1]
Please note that the most up-to-date version of the simulations code is available here: https://github.com/mrejichacko/casCHades
description: Resource Title: casCHades_analysis.zip
 Size: 8160437862 bytes
 Format: .zip
 URL: https://os.zhdk.cloud.switch.ch/envicloud/doi/envidat.642/casCHades_analysis.zip
 Description: This resource is broken down into two sections: 01 simulations and 02 analyses

In the 01 simulations section, the program which run the simulations for the paper is provided. It is prepared such that it can be easily run on a cluster. Please note that the results folder is empty, as they would have included 108,000 csv files. Instead, the summarised version is available in the next section.

In the 02 analyses section, all code needed to recreate the analyses and figures from the paper are provided. 

Please refer to the separate README.txt files for each section for further information.
DOI: 10.16904/envidat.607
title: LWF Alptal long-term research site

description: ![alt text](https://www.envidat.ch/dataset/49729a45-f5bf-4bc0-afdd-77123894d3bb/resource/aa505753-198c-49dc-a33e-c4c8e4fcb611/download/lwf_alptal.jpg "LWF Alptal")
LWF plot Alptal
- Community: Alpthal / canton SZ
- Date of installation: 31 May 1995
- Size of the plot: 0.6 ha
- Altitude: 1149-1170 m
- Mean slope: 23%
- Geology (in German): Nordpenninikum; obere Kreide-unteres Eozän, Wägitaler Flysch
- Soil types (WSL) : Mollic Gleysols, Gleyic Cambisols
- Woodland association after EK72: 49: Equiseto-Abietetum
- Main tree species: Picea abies
- Management system: high forest
- Silvicultural system: selection
- Top-height diameter (quadratic average diameter of the 100 thickest trees per ha): 39.3 cm
- Number of trees BHD -= 12 cm (2011): 321
- Maximum tree age: Picea abies 180-230 yr
More Information: https://www.wsl.ch/en/forest/forest-development-and-monitoring/long-term-forest-ecosystem-research-lwf/sites/alptal.html
description: Resource Title: Site_image
 Size: 123357 bytes
 Format: image/jpeg
 URL: https://www.envidat.ch/dataset/49729a45-f5bf-4bc0-afdd-77123894d3bb/resource/c76f9779-0388-416b-b41c-91f099d526fc/download/alptal.jpg
 Description: LWF plot Alptal Photo: P.Waldner
description: Resource Title: Alpthal Meteorological Data LWF
 Size: 1 bytes
 Format: .94
 URL: https://doi.org/10.16904/envidat.94
 Description:
description: Resource Title: LWF plot Alptal
 Size: 155754 bytes
 Format: image/jpeg
 URL: https://www.envidat.ch/dataset/49729a45-f5bf-4bc0-afdd-77123894d3bb/resource/aa505753-198c-49dc-a33e-c4c8e4fcb611/download/lwf_alptal.jpg
 Description: Photo: Flurin Sutter, 2013
DOI: 10.16904/envidat.276
title: Data of national dishes, their similarity and trade flows

description: The data described in this article were collected daily over the period 4 June 2018 to 23 August 2018 and contains information of several data sources. The database includes information on national recipes and their ingredients for 171 countries, measures for food taste similarities between all 171 countries as well as bilateral migration and agro-food trade data for 5 years. The database can be used for analyzing e.g., the relation between food preferences and international trade or food preferences and health outcomes (e.g., obesity) across countries.
description: Resource Title: National dishes, migration data and data for bilateral food trade flows
 Size: 22226815 bytes
 Format: text/csv
 URL: https://www.envidat.ch/dataset/a7717d8a-4086-453b-868d-02295bcecf8a/resource/47eb0962-d57c-4252-9743-8c9e965e786f/download/gravity_food_sim_final.csv
 Description: The data include information on national dishes, migration data and data for bilateral food
trade flows for 5 years as well as importer and exporter GDP, population, distance between
most populated cities, bilateral information on Preferential Trade Agreements, common
official primary langauge, common colonizer post-1945, colonial relationship for overall
171 countries. The final data set contains 145,350 observations (29,070 country pairs for
5 years)
description: Resource Title: information on ingredients of national dishes
 Size: 95593 bytes
 Format: text/csv
 URL: https://www.envidat.ch/dataset/a7717d8a-4086-453b-868d-02295bcecf8a/resource/2bb64e3b-48cc-404d-9fb9-2b7d86e61e76/download/foodculture_dishes_rev2.csv
 Description: shows information of ingredients of all national dishes of 171 countries and their names
description: Resource Title: dyadic food similarity measures, pairwise similarity and dissimilarity (chord diagram)
 Size: 1794299 bytes
 Format: application/x-7z-compressed
 URL: https://www.envidat.ch/dataset/a7717d8a-4086-453b-868d-02295bcecf8a/resource/6b96fac9-bab5-4afb-8fb5-b016897861f6/download/diagrams.7z
 Description: The figures show the distribution of two dyadic food tastes similarity measures on the base of
the national dishes: (i) the Manhattan distance and the (ii) latent semantic analysis. The chord diagram
shows the results for country pairs with most and less similarity on basis of the LSA-approach.
DOI: 10.16904/envidat.634
title: Snow On Antarctic Sea Ice - McMurdoSound 2022 - UAV Retrievals of Snow Topography and Snow Surface Temperature

description: This dataset accompanies the publication "How Flat is Flat? Investigating the spatial variability of snow surface temperature and roughness on landfast sea ice using UAVs in McMurdo Sound, Antarctica".
The dataset consists of 1) processed orthomosaic of RGB values, snow topography (digital elevation model), and surface temperature, 2) topography-dependent irradiance map, and 3) point data of measured radiation and atmospheric parameters in the McMurdo Sound, October-December 2022. The data was collected as part of the New Zealand Marsden Fund Research Grant 21-VUW-103 "Can Snow Change the Fate of Antarctic Sea Ice?". Unprocessed data associated with this field campaign are published in 10.16904/envidat.633.
For the airborne measurements, we used a DJI Matrice 30T, a multi-rotor (quadcopter) UAV with self-heating batteries, suitable for operations in polar conditions (temperature range from -20 to +50 °C). The UAV has a wide-angle camera (12 megapixels) for RGB images and a thermal camera (Uncooled Vox Microbolometer, long-wave infrared spectrum 8-14 µm, 1.31 megapixels) for TIR images with an accuracy of ±2 °C or ± 2 %. 
GNSS data includes high-precision location information (latitude, longitude, ellipsoidal height, receiver clock offset, and timestamps formatted in decimal hours and day-of-year notation). 
WE calculated the distribution of received solar irradiance over the sea-ice surface using a terrain-corrected radiative transfer model and measured shortwave radiation components, accounting for surface roughness, aspect, slope, and solar position during the flight, while applying terrain shading and measured diffuse radiation.
The broadband radiation station data consists of shortwave (Sw) and longwave (Lw) radiation measurements (Kipp & Zonen CMP22 pyranometers and CGR4 pyrgeometers). 
Surface temperature readings from cold, sediment, and hot targets were recorded using Apogee SI-121-SS sensors. 
This dataset also contains automated weather station (AWS) data (air and snow surface temperatures, relative humidity, wind direction, and wind speed). 
For detailed information, please use the README file.
description: Resource Title: camp_site_CS.zip
 Size: 89744860 bytes
 Format: application/zip
 URL: https://www.envidat.ch/dataset/5fbcdffd-8094-41dc-ab28-e1ddf0fa57d1/resource/4cd5b310-54e1-4d1f-aa72-ee333c464c19/download/camp_site_cs.zip
 Description:
DOI: 10.15468/dl.aa545x
title: Occurrence Download

description: A dataset containing 126070 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Pilosella aurantiaca"
 ]
}

 The dataset includes 126070 records from 594 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027977-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.