cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.16904/envidat.249
title: Larval food composition of four wild bee species in five European cities

description: Urbanization poses threats and opportunities for the biodiversity of wild bees. A main gap relates to the food preferences of wild bees in urban ecosystems, which usually harbour large numbers of plant species, particularly at the larval stage. This data sets describes the larval food of four wild bee species (i.e. Chelostoma florisomne, Hylaeus communis, Osmica bicornis and Osmia cornuta) and three genera (i.e. Chelostoma sp., Hylaeus sp, and Osmia sp.) common in urban areas in five different European cities (i.e. Antwerp, Paris, Poznan, Tartu and Zurich). This data results from a European-level study aimed at understanding the effects of urbanization on biodiversity across different cities and citiscapes, and a Swiss project aimed at understanding the effects of urban ecosystems in wild bee feeding behaviour. Wild bees were sampled using standardized trap-nests in 80 sites (32 in Zurich and 12 in each of the remaining cities), selected following a double gradient of available habitat at local and landscape scales. Larval pollen was obtained from the bee nests and identified using DNA metabarconding. The data provides the plant composition at the species or genus level of the different bee nests of the studied species in the studied sites of the five European cities. For Hylaeus communis, this is the first study in reporting larval food composition.
description: Resource Title: Larval food composition
 Size: 222187 bytes
 Format: application/vnd.ms-excel
 URL: https://www.envidat.ch/dataset/281173e2-361c-4953-8267-20ac6cf61588/resource/549272fe-1219-4eaf-bb06-4e0d130662a6/download/21092021_responses_metabarcoding_clean.csv
 Description:
description: Resource Title: Explanation data variables
 Size: 4090 bytes
 Format: application/vnd.ms-excel
 URL: https://www.envidat.ch/dataset/281173e2-361c-4953-8267-20ac6cf61588/resource/a1a07896-7189-46b7-9fb7-c10e4f06d6c4/download/readme.csv
 Description:
description: Resource Title: Information on the study sites
 Size: 14688 bytes
 Format: text/csv
 URL: https://www.envidat.ch/dataset/281173e2-361c-4953-8267-20ac6cf61588/resource/8c2661c3-d559-4820-98e7-e0d3ce3c4f0b/download/16072024_study_sties.csv
 Description: For each site, IDs, city, coordinates, structure where trapnest was attahced and height of the trapnest is provided
DOI: 10.16904/envidat.524
title: Water-use strategies of temperate tree species

description: This dataset represents the data shown in the Figures 2 - 7 of Walthert et al. (2024): Coordination between degree of isohydricity and depth of root water uptake in temperate tree species. Science of the Total Environment (https://doi.org/10.1016/j.scitotenv.2024.174346). A detailed methodical description of the data can be found in the Methods section of the paper.
Abstract
In an increasingly dry environment, it is crucial to understand how tree species use soil water and cope with drought. However, there is still a knowledge gap regarding the relationships between species-specific stomatal behaviour, spatial root distribution, and root water uptake (RWU) dynamics.
Our study aimed to investigate above- and below-ground aspects of water use during soil drying periods in four temperate tree species that differ in stomatal behaviour: two isohydric tracheid-bearing conifers, Scots pine and Norway spruce, and two more anisohydric deciduous species, the diffuse-porous European beech, and the ring-porous Downy oak. From 2015 to 2020, soil-tree-atmosphere-continuum parameters were measured for each species in monospecific forests where trees had no access to groundwater. The hourly time series included data on air temperature, vapour pressure deficit, soil water potential, soil hydraulic conductivity, and RWU to a depth of 2 m. Analysis of drought responses included data on stem radius, leaf water potential, estimated osmotically active compounds, and drought damage.
Our study reveals an inherent coordination between stomatal regulation, fine root distribution and water uptake. Compared to conifers, the more anisohydric water use of oak and beech was associated with less strict stomatal closure, greater investment in deep roots, four times higher maximum RWU, a shift of RWU to deeper soil layers as the topsoil dried, and a more pronounced soil drying below 1 m depth. Soil hydraulic conductivity started to limit RWU when values fell below 10-3 to 10-5 cm/d, depending on the soil. As drought progressed, oak and beech may also have benefited from their leaf osmoregulatory capacity, but at the cost of xylem embolism with around 50% loss of hydraulic conductivity when soil water potential dropped below -1.25 MPa. Consideration of species-specific water use is crucial for forest management and vegetation modelling to improve forest resilience to drought.
description: Resource Title: Data_Figures_2-7
 Size: 336566 bytes
 Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
 URL: https://www.envidat.ch/dataset/11101a77-3bca-4ee7-869d-f6068d1b4941/resource/b3fcc0d4-e6ef-48d8-9d97-57e633c8873f/download/envidat_datafile.xlsx
 Description: The data file contains the data shown in the Figures 2-7 in Walthert et al. (2024).
DOI: 10.17632/stmb3j2kvr.1
title: Raw Data_AI Risk Perception and Career Readiness in College Students

description: The dataset, "Raw Data_AI Risk Perception and Career Readiness in College Students," was collected from undergraduate students across various universities using a cross-sectional survey between March and May 2025. After data cleaning, 934 valid responses were retained for analysis. The study aimed to examine how AI risk perception and growth mindset influence career readiness, with career adaptability as a mediating mechanism and perceived social support as a moderator. The dataset contains self-reported data on students’ AI risk perception, growth mindset, career adaptability, career readiness, and perceived social support. Structural equation modeling was employed to test the hypotheses. This dataset provides valuable insights into how students psychologically prepare for AI-induced career disruption and the role of cognitive resources and vulnerabilities in shaping career outcomes. The findings can inform the design of adaptive career education and support systems for students in the AI era.
DOI: 10.16904/envidat.440
title: Environmental DNA Marine Curacao 2020

description: Fish taxonomic, functional and phylogenetic composition variations recovered from eDNA metabarcoding along the coast of Curacao
In February 2020, we collected a total of 20 water samples, from 10 stations, with two filtration replicates per station, in the two investigated coastal areas. Each station consisted of a transect of 2 km at an overall constant distance from the coast. We recorded the GPS coordinates at the start and end of the transect, which we used to map the transect positions. We conducted eDNA sampling by using a filtration device composed of an Athena® peristaltic pump (Proactive Environmental Products LLC, Bradenton, Florida, USA; nominal flow of 1.0 L/min), a VigiDNA® 0.20 μM cross-flow filtration capsule (SPYGEN, le Bourget du Lac, France) and disposable sterile tubing for each filtration capsule. We performed two filtration replicates in parallel on each side of a boat, at each station, for 30 min corresponding to a volume of ~30 L of water filtered by each capsule. At the end of each filtration, the water inside the capsules was emptied, and we filled the capsules with 80 ml of CL1 Conservation buffer (SPYGEN, le Bourget du Lac, France) and stored at room temperature. We followed a strict contamination control protocol in both field and laboratory stages (Valentini et al., 2016). Each water sample processing included the use of disposable gloves and single-use filtration equipment to avoid any risk of contamination. Libraries were prepared with ligation using the MetaFast protocol (Fasteris).
description: Resource Title: Data access
 Size: 1073741824 bytes
 Format: No Info
 URL: https://envicloud.wsl.ch/#/?bucket=https://envicloud.wsl.ch/edna&prefix=ma_cu/ma_cu_curaca_2020
 Description:
DOI: 10.16904/envidat.445
title: Environmental DNA Freshwater Switzerland VaudCatchment Modipl 2020

description: Catchment-based sampling of river eDNA integrates terrestrial and aquatic biodiversity of alpine landscapes
From 22-Jun-2020 to 26-Jun-2020, we sampled five sites comprising one low, two intermediate and two high-elevation sites per catchment (Fig. 1a). We visited two catchments per day—one in the morning and one in the afternoon—for a total of ten catchments. All samples per catchment were collected within a maximum four-hour period by three groups of samplers. The intermediate and high-elevation sites were situated along two tributaries leading into the low-elevation site of the river. We used three filters for each relative elevation class and filtered 60 L per relative elevation class. We sampled 30 L per tributary for a combined volume of 60 L at the intermediate and high-elevation sites. In total, 180 L were sampled in total per catchment. A filtration device composed of either the Athena® peristaltic pump (Proactive Environmental Products LLC; 1 L/min nominal flow) or the Subspace® underwater peristaltic pump (Subspace Pictures; 1 L/min nominal flow), combined with a VigiDNA® 0.2 µM cross-flow filtration capsule (VigiDNA, SPYGEN) was used in order to filter a large water volume. We used a finer mesh than the recommended VigiDNA® 0.45 µM cross-flow filtration capsule to maximise the capture of biological material since mountain water does not transport high quantities of sediments. For each filtration capsule, we used disposable sterile tubing. At the end of each filtration, we emptied the water inside the capsules, replaced it with 80 ml of CL1 conservation buffer (SPYGEN), and stored it at room temperature. We followed a strict contamination control protocol in both field and laboratory stages (Goldberg et al. 2016; Valentini et al. 2016). Each water sample was processed using disposable gloves and single-use filtration equipment. We used two primer sets targeting vertebrates (Vert01, forward: − TTAGATACCCCACTATGC, reverse: − TAGAACAGGCTCCTCTAG, mean marker length: 97 bp) and spermatophytes (g-h/Sper01, forward: − GGGCAATCCTGAGCCAA, reverse: CCATTGAGTCTCTGCACCTATC, mean marker length: 48 bp). Though both primers are relatively broad with low species-level resolution, we selected them as the goal was to minimise cost and effort and maximise the identification of a broad range of taxa which can represent the species assemblages of the region. Libraries were prepared with ligation using the MetaFast protocol (Fasteris).
description: Resource Title: Data access
 Size: 1073741824 bytes
 Format: No Info
 URL: https://envicloud.wsl.ch/#/?bucket=https://envicloud.wsl.ch/edna&prefix=fw_ch/fw_ch_modipl_2020
 Description:
DOI: 10.16904/envidat.482
title: Preferential Deposition Processes Animations

description: Supplementary animations for the publication (DOI to follow with pre-print) showing preferential deposition as modeled by the HICAR model. Complete descriptions of the animations, and a discussion of them, can be found in the publication.
description: Resource Title: SnowfallProcess.gif
 Size: 19742647 bytes
 Format: image/gif
 URL: https://www.envidat.ch/dataset/0e19ff10-33d5-423c-bf3c-a8627bc00fe3/resource/44fed012-adfe-4edb-81ed-257b336d036c/download/snowfallprocess21.gif
 Description: Process-level view of Preferential Deposition
description: Resource Title: Preprint_SnowfallMovie_Sattelhorn.gif
 Size: 7237167 bytes
 Format: image/gif
 URL: https://www.envidat.ch/dataset/0e19ff10-33d5-423c-bf3c-a8627bc00fe3/resource/c8db3a64-660c-4425-803c-a06ad9547c3a/download/snowfallmovie_sattelhorn.gif
 Description: This movie is an older version of the file "SnonwfallMovie_Sattelhorn.gif" which appeared in the preprint for the relevant manuscript.
description: Resource Title: SnowfallMovie_Sattelhorn.gif
 Size: 1831082 bytes
 Format: image/gif
 URL: https://www.envidat.ch/dataset/0e19ff10-33d5-423c-bf3c-a8627bc00fe3/resource/9b3b85c7-9788-41ff-8b69-19e93e5517e5/download/snowfallmovie_sattelhorn1.gif
 Description: Ridge-scale hourly precipitation and cumulative SWE change amount during a snowfall event
DOI: 10.16904/envidat.512
title: Snow Height Classification Dataset

description: Snow Height Classification dataset provides manually annotated snow height data that can be used for development and evaluation of automatic snow height classification approaches.
A subset of 20 IMIS stations which span different locations and elevations and vary in underlying surface (e.g., vegetation, bare ground, glacier, etc.) were selected and manually annotated with binary two-class ground truth information regarding snow height data:
 * **Class 0 - Snow** - the surface is covered by snow
 * **Class 1 - No Snow** - the surface is snow-free (e.g., vegetation, soil, rocks, etc.)
Data has been annotated with the help of domain experts. It should be mentioned that annotating historical data is problematic, as there is no way of checking whether there really was snow at the station or not. This means that assessing the presence of snow with the help of information from other sensors should be considered a best effort approach. 
Besides the annotated snow height data, the dataset also contains additional data which are relevant to reproduce results in the following repository:
[https://gitlabext.wsl.ch/jan.svoboda/snow-height-classification](https://gitlabext.wsl.ch/jan.svoboda/snow-height-classification)
Any further use of the data has to comply with the CC BY-NC license:
[https://creativecommons.org/licenses/by-nc/4.0/](https://creativecommons.org/licenses/by-nc/4.0/)
description: Resource Title: Data Access 
 Size: 21474836480 bytes
 Format: No Info
 URL: https://envicloud.wsl.ch/#/?bucket=https%3A%2F%2Fos.zhdk.cloud.switch.ch%2Fenvicloud%2F&prefix=doi%2Fenvidat.512%2Fsnow-height-classification-dataset%2F
 Description:
description: Resource Title: snow-height-classification-dataset.zip
 Size: 5658619412 bytes
 Format: .zip
 URL: https://os.zhdk.cloud.switch.ch/envicloud/doi/envidat.512/snow-height-classification-dataset.zip
 Description:
DOI: 10.16904/envidat.519
title: Preferential deposition of snow and dust over hills: governing processes and relevant scales

description: Preferential deposition of snow and dust over complex terrain is responsible for a wide range of environmental processes, and accounts for a significant source of uncertainty in surface mass balances of cold and arid regions. Despite the growing body of literature on the subject, previous studies reported contradictory results on the location and magnitude of deposition maxima and minima. This study aims at unraveling the governing processes of preferential deposition in neutrally stable atmosphere and to reconcile seemingly inconsistent results of previous works. For this purpose, a comprehensive modeling approach is developed, based on large eddy simulations of the turbulent airflow, Lagrangian stochastic model of particle trajectories, and immersed-boundary method to represent the underlying topography. The model performance is tested against wind tunnel measurements of dust deposition around isolated and sequential hills. A scale analysis is then performed to investigate the dependence of snowfall deposition on the particle Froude and Stokes numbers, which fully account for the governing processes of inertia, flow advection, and gravity. Additional simulations are performed, to test whether the often used assumption of inertialess particles yields accurate deposition patterns. We finally show that our scale analysis provides qualitatively similar results for hills with different aspect ratios.
This dataset contains the results of the LES-LSM model. Each Matlab file contains a 2D array of deposition values (in kg/m2) in each surface node (ix, iy) of the Cartesian grid. The file names are consistent with the simulation numbers listed in the original paper. For additional information, please refer to "Preferential deposition of snow and dust over hills: governing processes and relevant scales" by F. Comola, M. G. Giometto, S. T. Salesky, M. B. Parlange, and M. Lehning, Journal of Geophysical Research: Atmospheres, 2019.
description: Resource Title: preferential deposition patterns of all simulations performed
 Size: 1888012 bytes
 Format: application/zip
 URL: https://www.envidat.ch/dataset/74d24b12-5c31-486c-94ce-86e77079451c/resource/7e9876ca-a558-4bf0-8454-af99162d0d17/download/envidat_pref_dep.zip
 Description: The data consist of matlab files. Each files contains a 2D array with the values of deposition at the surface nodes. Each array has Nx x Ny values. Please refer to the original paper for additional information on the spatial resolution and grid size.
DOI: 10.16904/envidat.520
title: Root-traits

description: Fine-root traits of Scots pine in response to enhanced soil water availability deriving from long-term irrigation in the Pfynwald
Data_Fig.1.xlsx
Fine-root biomass of the topsoil (0-10 cm) in the dry and irrigated treatment of the Scots pine forest of the years 2003 to 2016 recorded by soil coring
Data_Tab1+2_2005.xlsx
Fine-root traits from roots of ingrowth cores from 2005 after two years of growth in the dry and irrigated treatment of the Scots pine forest
Data_Tab1+2_2016.xlsx
Fine-root traits from roots of ingrowth cores from 2016 after two years of growth, and from roots of the soil-coring sampling from 2016 in the dry and irrigated treatment of the Scots pine forest
description: Resource Title: Root-traits
 Size: 215864 bytes
 Format: application/zip
 URL: https://www.envidat.ch/dataset/0c5a3b6a-10d3-4504-bcd2-70e5455733d8/resource/966519fb-2237-409e-be7c-b1aebffe70ae/download/root_traits.zip
 Description: Data_Fig.1.xlsx
Fine-root biomass of the topsoil (0-10 cm) in the dry and irrigated treatment of the Scots pine forest of the years 2003 to 2016 recorded by soil coring

Data_Tab1+2_2005.xlsx
Fine-root traits from roots of ingrowth cores from 2005 after two years of growth in the dry and irrigated treatment of the Scots pine forest

Data_Tab1+2_2016.xlsx
Fine-root traits from roots of ingrowth cores from 2016 after two years of growth, and from roots of the soil-coring sampling from 2016 in the dry and irrigated treatment of the Scots pine forest
DOI: 10.17632/25x2dh9wyr
title: LINF_200017800

description: Protein of unknown function - conserved; Leishmania infantum (strain JPCM5)
DOI: 10.16904/envidat.86
title: Pine insects along elevational gradients

description: The colonization of cut pine stems by wood-inhabiting insects was investigated at various elevations. The study sites were located in the regions of Aosta Valley (Italy), Valais (Switzerland), and Grisons (Switzerland). In each region, there were two gradients in pine (Pinus sylvestris) forests, with three study sites at 900 m, 1200 m, and 1600 m a.s.l. each. Vital trees were felled in late autumn and the stems were colonized by pioneering xylophagous insects and their natural enemies next spring. Pieces of these stems were cut and exposed in emergence traps in a greenhouse. In each region the survey was done in two consecutive years.
Please contact author for terms of use.
description: Resource Title: Gradients
 Size: 514565 bytes
 Format: text/csv
 URL: https://www.envidat.ch/dataset/8aa45b4a-ba50-40a4-8293-b683a4e4587b/resource/bd2f89c7-15b3-4f6e-b5db-0b51793c3e85/download/data_envidat.csv
 Description: The column headers refer to:

- SamplingCode: WSL fauna database code referring to year and trap type (not relevant)
- SamplingDate: Date when the emergence traps were emptied, corresponds roughly to the date of emergence
- TreeNumber: Tree ID
- Defoliation: percentage of needle loss or crown transparency, according to international standards, of the trees prior to felling
- BarkSurface: bark surface area of stem parts exposed in emergence traps
- YearOfAttack: Year of colonization. Technically, the colonization window opened on 1st of January and closed in June, when sections of the tree stems were transported to the institute
- YearOfEmergence: Emergence year of a given cohort of insects in the greenhouse
- YearAfter Attack: Temporal difference between year of colonization and year of emergence of a given cohort of insects, corresponding to total development time
- Region: AO Aosta (ITA), GR Grisons (CH), VS Valais (CH)
- Location: locality nearest to the gradient
- Elevation: Site where trees were felled and exposed to colonization
- Aspect: north (N) or south (S) facing slope
- Species: taxonomic species according to Fauna Europaea
- Family: taxonomic family
- Order: taxonomic order: Col. Coleoptera, Hym. Hymenoptera, Dipt Diptera, Raph Raphidioptera
- Guild: Phyto phytophagous, Pred predatory, para parasitoid
- Number: number of sampled individuals of a given species at a given date.
- Density: number of emerged insects per m2 bark surface
- Identifyer: specialist who identified the insects
DOI: 10.16904/envidat.516
title: WFJ2: Snow measurements from the Weissfluhjoch research site, Davos

description: This dataset provides HS, TSS and TS50, TS100, TS150 at the station WFJ2 situated on the Weisfluhjoch research site (2536 m asl). It has been created from merging ENET and IMIS datsets to form a continuous timeseries from 1992- present. ENET is at 1 h resolution whereas IMIS is 30 min. This is a level 2 dataset as defined [here](http://models.slf.ch/p/dataset-processing/).
description: Resource Title: DATA ACCESS
 Size: 54473566 bytes
 Format: .smet
 URL: https://www.envidat.ch/dataset/ba40d8dd-834e-4c6b-aad1-d38a3786aca7/resource/ff70150f-86f6-41fc-b881-703ad19d4a66/download/wfj2_l2.smet
 Description: Station WFJ2: merged IMIS + ENET datasets. Provides parameters height of snow, snow surface temperatures and snow temps at 0, 1, 1.5 m above ground surface. Supporting meteo data are also contained in this dataset.

fields = timestamp TA RH TSG TSS HS VW DW VW_MAX OSWR PSUM VW_DRIFT DW_DRIFT TS1 TS2 TS3 HTS1 HTS2 HTS3
DOI: 10.17632/25x2dh9wyr.1
title: LINF_200017800

description: Protein of unknown function - conserved; Leishmania infantum (strain JPCM5)