cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/yf9cjzngvy
title: LINF_200019400

description: Protein of unknown function - conserved; Leishmania infantum (strain JPCM5)
DOI: 10.16904/envidat.436
title: A grain-size driven transition in the deformation mechanism in slow snow compression

description: We conducted consecutive loading-relaxation experiments at low strain rates to study the viscoplastic behavior of the intact ice matrix in snow. The experiments were conducted using a micro-compression stage within the X-ray tomography scanner in the SLF cold laboratory. 
Next, to evaluate the experiments, a novel, implicit solution of a transient scalar model was developed to estimate the stress exponent and time scales in the effective creep relation (Glen's law). The result reveals that, for the first time, a transition in the exponent in Glen's law depends on geometrical grain size. A cross-over of stress exponent $n=1.9$ for fine grains to $n=4.4$ for coarse grains is interpreted as a transition from grain boundary sliding to dislocation creep. 
The dataset includes compression force data from 11 experiments and corresponding 3D image data from tomography scans.
description: Resource Title: README
 Size: 2225 bytes
 Format: text/plain
 URL: https://www.envidat.ch/dataset/2fbce191-4283-4b68-aa4c-ad90723146ed/resource/a23d3947-513f-47dc-aba2-a56fd8b4afcf/download/readme.txt
 Description: README file gives an overview of the organization of the data
description: Resource Title: slow snow compression experiments
 Size: 96297572 bytes
 Format: application/x-zip-compressed
 URL: https://www.envidat.ch/dataset/2fbce191-4283-4b68-aa4c-ad90723146ed/resource/faca29b9-a95f-4f86-a3f9-1bf7faedab29/download/2023_slow_snow_compression_paper_envidat.zip
 Description: Compression experiments, X-ray images and with supplemented README file
DOI: 10.17632/yf9cjzngvy.1
title: LINF_200019400

description: Protein of unknown function - conserved; Leishmania infantum (strain JPCM5)
DOI: 10.16904/envidat.178
title: Plant-Orthoptera trophic networks (Lif3web projet)

description: The study of ecological networks along environmental gradients has so far been limited by the difficulty of collecting large-scale dataset of comparable interactions. Here, we compiled 48 plant–orthoptera interaction networks at multiple locations across the Swiss Alps (i.e. along six elevation gradient). Trophic interactions were obtained by applying next-generation sequencing methods (e.g. DNA metabarcoding) on insect feces. Together with interaction data, we also provide data of the functional trait measurement (i.e. plant leaves traits and insect mandibular strength) expected to influence the realization of the interaction. Species inventories, feces samples and functionals traits were collected during the summer 2016 and 2017. Lab work and network reconstruction were completed in 2019.
description: Resource Title: pairwise_table_interactions_functional_trait_lif3web_v1.txt
 Size: 2667411 bytes
 Format: text/plain
 URL: https://www.envidat.ch/dataset/6ee40b5e-ae20-470e-a01d-c795d4dba605/resource/7c43e3e5-4f2b-4987-be23-f39b2cd3fdac/download/lif3web_pairwise_table_interactions.txt
 Description: This dataset is formatted as a pair-wise table where each rows correspond to a possible interaction between a plant and an insect species. For each possible interaction are provided the interaction strenght, the study site identity and elevation, the average plant functional trait for the punch, the SLA, the LDMC, the carbon and nitrogen content.
description: Resource Title: WEBs_plant_orthoptera
 Size: 80722 bytes
 Format: .rdata
 URL: https://www.envidat.ch/dataset/6ee40b5e-ae20-470e-a01d-c795d4dba605/resource/48877518-dc96-4134-82f9-5ac4d3bf8dca/download/webs_plant_orthoptera.rdata
 Description: Plant-orthoptera trophic networks
description: Resource Title: site_info
 Size: 3853 bytes
 Format: text/plain
 URL: https://www.envidat.ch/dataset/6ee40b5e-ae20-470e-a01d-c795d4dba605/resource/edb61311-2383-4fab-b494-ed2f37ce58d1/download/site_info.txt
 Description: Information about the study sites
description: Resource Title: plant_surveys
 Size: 123277 bytes
 Format: text/plain
 URL: https://www.envidat.ch/dataset/6ee40b5e-ae20-470e-a01d-c795d4dba605/resource/fdbc519f-d76d-4f07-b7d4-867755d3ccfc/download/plant_surveys.txt
 Description: Plant surveys
description: Resource Title: orthoptera_surveys
 Size: 22210 bytes
 Format: text/plain
 URL: https://www.envidat.ch/dataset/6ee40b5e-ae20-470e-a01d-c795d4dba605/resource/f35f9774-2d82-4bf8-b956-783372b16628/download/orthoptera_surveys.txt
 Description: Orthoptera surveys
description: Resource Title: plant_traits
 Size: 34427 bytes
 Format: text/plain
 URL: https://www.envidat.ch/dataset/6ee40b5e-ae20-470e-a01d-c795d4dba605/resource/bf5d975b-d73d-4ff9-aab4-085a63c2082b/download/plant_traits.txt
 Description: Plant trait (SLA, LDMC, C/N, punch strenght)
DOI: 10.16904/envidat.208
title: Above- and below-ground herbivore communities along elevation

description: Despite the common role of above- and below-ground herbivore communities in mediating ecosystem functioning, our understanding of the variation of species communities along natural gradient is largely strongly biased toward aboveground organisms. This dataset enables to study the variations in assemblages of two dominant groups of herbivores, namely, aboveground orthoptera and belowground nematodes together with their food plants. Herbivores and plant surveys were conducted in 48 natural grasslands along six elevation gradients, selected to span the major macro-climatic and environmental conditions of the Swiss Alps. It compiles herbivores and plant surveys, information on the study sites as well as plant and herbivores functional traits sought to be involved in trophic interactions and to respond to climatic variation along the elevation. Plant functional traits considered are the SLA, the LDMC, the C/N content, the punch strength (i.e. force required to pierce the leave lamina), the mandibular strength for Orthoptera insect. Data were collected during the summer 2016 and 2017.
description: Resource Title: Nematode surveys
 Size: 13302 bytes
 Format: text/plain
 URL: https://www.envidat.ch/dataset/2e5114d6-4dee-4dc9-8bf7-434425af15a7/resource/b564230b-cfea-4587-84b7-06fe299995af/download/nematode_surveys.txt
 Description: Surveys of soil nematode along elevation
description: Resource Title: Orthoptera surveys
 Size: 17366 bytes
 Format: text/plain
 URL: https://www.envidat.ch/dataset/2e5114d6-4dee-4dc9-8bf7-434425af15a7/resource/f877bfcd-df8c-4059-bdca-0176154eeb02/download/orthoptera_surveys.txt
 Description: Species inventories of Orthoptera
description: Resource Title: Vegetion surveys
 Size: 115943 bytes
 Format: text/plain
 URL: https://www.envidat.ch/dataset/2e5114d6-4dee-4dc9-8bf7-434425af15a7/resource/a2f466e2-1eb8-4436-a0cb-8dd3387243bd/download/vegetation_surveys.txt
 Description: Species inventories of plants
description: Resource Title: Study sites
 Size: 1120 bytes
 Format: text/plain
 URL: https://www.envidat.ch/dataset/2e5114d6-4dee-4dc9-8bf7-434425af15a7/resource/5f605109-b59f-40cd-aa3f-804623828d36/download/study_sites.txt
 Description: Coordinates and elevation of the study sites
description: Resource Title: Plant traits
 Size: 25166 bytes
 Format: text/plain
 URL: https://www.envidat.ch/dataset/2e5114d6-4dee-4dc9-8bf7-434425af15a7/resource/6da02cea-6955-4d5d-b389-85e24cda8a93/download/plant_traits.txt
 Description: Plant functional traits (SLA, LDMC, carbon and nitrogen content, punch strenght; averaged by species)
description: Resource Title: Orthoptera traits
 Size: 3646 bytes
 Format: text/plain
 URL: https://www.envidat.ch/dataset/2e5114d6-4dee-4dc9-8bf7-434425af15a7/resource/083b639b-9a30-4d58-bb15-2e6965c72271/download/orthoptera_traits.txt
 Description: Orthoptera functional traits (incisive mandibular strength averaged by species)
DOI: 10.17632/s7zp5nkg44
title: LINF_200019500

description: Protein of unknown function - conserved; Leishmania infantum (strain JPCM5)
DOI: 10.17632/s7zp5nkg44.1
title: LINF_200019500

description: Protein of unknown function - conserved; Leishmania infantum (strain JPCM5)
DOI: 10.17632/8jj9mzhvhv
title: Data Set of LDA Analysis on TikTok Influencer Video"s Comment of Heymale Brand

description: Raw data of LDA Analysis on TikTok Influencer Video"s Comment of Heymale Brand
DOI: 10.16904/envidat.402
title: R script and input data for "ALL-EMA sampling design"

description: License: GPL-v2
The R script presents an advanced sampling approach for monitoring biodiversity on agricultural land by combining multiple objectives and integrating environmental and geographic space.
The example demonstrates the first-stage selection of squares (km2) in the ALL-EMA sampling design using modern sampling techniques such as unequal probability sampling with fixed sample size, balanced sampling, stratified balancing and geographic spreading. Sampling is done with unequal probabilities and weights defined by power allocation to give equal weight to extrapolations to the total agricultural area of Switzerland and two stratifications of predefined interest (regions and agricultural production zones). Calibration is used to limit the distribution of the sampling weights. The sample sizes are almost fixed within the strata and evenly distributed across the years of a temporal rotation plan, which is favourable for the organisation of the field survey. Sampling also ensures an optimal (annual) distribution across geographic space, including altitude. Despite the complexity of the sampling, estimation based on probability theory is straightforward.
Ecker, K.T., Meier, E.S. & Tillé, Y. 2023. Integrating spatial and ecological information into comprehensive biodiversity monitoring on agricultural land. Environmental Monitoring and Assessment 195.
description: Resource Title: data
 Size: 22605 bytes
 Format: application/vnd.ms-excel
 URL: https://www.envidat.ch/dataset/0b303fb7-17fc-4910-af8f-dbee54c0d093/resource/89264e93-545c-4794-b6eb-46247ec92310/download/s0.csv
 Description:
description: Resource Title: R script
 Size: 10670 bytes
 Format: .r
 URL: https://www.envidat.ch/dataset/0b303fb7-17fc-4910-af8f-dbee54c0d093/resource/2fa8e0c9-acbb-4a25-bb8e-79c76908a3b7/download/sample_selection_s1.r
 Description:
DOI: 10.17632/8jj9mzhvhv.1
title: Data Set of LDA Analysis on TikTok Influencer Video"s Comment of Heymale Brand

description: Raw data of LDA Analysis on TikTok Influencer Video"s Comment of Heymale Brand
DOI: 10.16904/envidat.420
title: Data: Environmental drivers of eukaryotic plankton and fish biodiversity in an Arctic fjord

description: This dataset contains the raw environmental DNA data associated with the publication *Environmental drivers of eukaryotic plankton and fish biodiversity in an Arctic fjord* in the journal Polar Biology (2023). 
 Methods 
 
**Sampling**
We sampled the Lilliehöök fjord on the west coast of Spitsbergen (Svalbard, Norway) over 3 days from 3 to 5 of August 2021. Samples were taken from the glacier front up to the fjord mouth of the Krossfjorden system, around 30 km long, after the Lilliehöök fjord merged with the mouth of Möller fjord. The fjord’s maximum depth has been recorded at 373 m (Svendsen et al. 2002) and has no sill at its entrance, thereby facilitating water exchange with the open ocean of the West Spitsbergen Current. We used a research vessel to sample 5 sites for a total of 15 samples, sampling 3 depths per site (3-m, chlorophyll a maximum and 85-m, unless sea floor was shallower). Shallow and intermediate samples between 3-m and 12-m represent ~35-L of water filtered in-situ using long tubing and a peristaltic pump, and all other deeper samples were taken from a total of 3 Niskin bottles (General Oceanics), representing 22-L of water sampled per sample. Water was filtered through a VigiDNA filtration capsule (SPYGEN) with a 0.20-µm pore size using an Athena peristaltic pump (Proactive Environmental Products, Bradenton, Florida) with a flow rate of ~1-L/min. Each sample was handled with single use tubing and gloves. 
**Molecular**
To perform the amplification, we used two sets of primers: teleo (forward: ACACCGCCCGTCACTCT, reverse: CTTCCGGTACACTTACCATG; Valentini et al. 2016) and the universal eukaryotic 1389F/1510R primer pair, amplifying the V9-18S rDNA gene (Amaral-Zettler et al. 2009) (forward: TTGTACACACCGCCC, reverse: CCTTCYGCAGGTTCACCTAC). 
 Data content: 
+ Metabarcoding data: This zip file contains the 2 sequencing libraries filtered to only retain the samples used in the present study. 
+ Code, data and figure: This zip file contains all data and code to reproduce the figures and the analysis in the study, with an associated README explaining the content of each folder. 
 Additional informations
For more details, please see the Methods in the associated publication: DOI: 10.1007/s00300-023-03187-9.
description: Resource Title: Metabarcoding data
 Size: 621901827 bytes
 Format: application/x-zip-compressed
 URL: https://www.envidat.ch/dataset/2a7f749a-430f-443b-bbac-073b166c2361/resource/1e6638c8-fb7e-4049-8fee-effa8d64177b/download/metabarcoding-data.zip
 Description: Raw metabarcoding data for both primers (teleo and 18S) and corresponding file to perform the demultiplexing and primer trimming
description: Resource Title: Code, data and figures
 Size: 63570143 bytes
 Format: application/x-zip-compressed
 URL: https://www.envidat.ch/dataset/2a7f749a-430f-443b-bbac-073b166c2361/resource/ce6111f5-09b4-4d7a-8a5d-21529c2da40b/download/code_data_figures.zip
 Description: Here there are all the data and code to reproduce the figures and analysis presented in the paper, with a README.md file
DOI: 10.16904/envidat.425
title: Data-set for prediction of natural dry-snow avalanche activity and avalanche size using physics-based snowpack simulations

description: The data set contained in this repository was used in the analysis by Mayer et al. (2023):
Mayer, S. I., Techel, F., Schweizer, J., and van Herwijnen, A.: Prediction of natural dry-snow avalanche activity using physics-based snowpack simulations, EGUsphere, https://doi.org/10.5194/egusphere-2023-646, 2023.
description: Resource Title: dataForAvalancheDayModelDevelopment.csv
 Size: 1584694 bytes
 Format: application/vnd.ms-excel
 URL: https://www.envidat.ch/dataset/28660c6d-68ce-484d-a7d7-24d7a612f392/resource/961c07d9-5f7e-4c7b-9073-e2b31b6dab28/download/dataforavalanchedaymodeldevelopment.csv
 Description: Data set AV1 was used for training the avalanche-day classifier (Sections 2.1.1, 2.2, and 3.1 in Mayer et al.).
description: Resource Title: dataForAvalancheSizeModelDevelopment.csv
 Size: 423741 bytes
 Format: application/vnd.ms-excel
 URL: https://www.envidat.ch/dataset/28660c6d-68ce-484d-a7d7-24d7a612f392/resource/49e9e29b-683a-4784-a3ab-0c02d2e0902b/download/dataforavalanchesizemodeldevelopment.csv
 Description: Data set AV2 used for training the avalanche-size estimator (Sections 2.1.2 and 3.2 in Mayer et al.)
description: Resource Title: dataForValidationWithDangerLevels.csv
 Size: 34614625 bytes
 Format: application/vnd.ms-excel
 URL: https://www.envidat.ch/dataset/28660c6d-68ce-484d-a7d7-24d7a612f392/resource/fac61ade-ba4c-40bc-bc90-f47c763e153c/download/dataforvalidationwithdangerlevels.csv
 Description: Data set DL was used for validation of the avalanche-day classifier and the avalanche-size estimator. The data set contains the quality-checked danger levels merged with the respective SNOWPACK simulations (Sections 2.3 and 3.3(2) in Mayer et al.).
description: Resource Title: dataForValidationDavos.csv
 Size: 74355 bytes
 Format: application/vnd.ms-excel
 URL: https://www.envidat.ch/dataset/28660c6d-68ce-484d-a7d7-24d7a612f392/resource/38836706-8b98-47a5-9f94-a3b5e88553e2/download/davos_validation.csv
 Description: Data set AV3 was used for validation of the avalanche-day classifier (Sections 2.1.3 and 3.3(1) in Mayer et al.).
DOI: 10.16904/envidat.415
title: Data and Code on Extreme Inflow and Lowflow Analysis for Alpine Reservoirs

description: Summary
* Dataset of daily inflow to Luzzone reservoir in Ticino, Switzerland
* R scripts used to generate return levels for low reservoir inflow, low precipitation, high inflow, and extreme high precipitation based on various methods from extreme value analysis
 Data
The dataset included here is the "natural" reservoir inflow for the Luzzone reservoir.
Additional analyses were conducted on daily total precipitation of 6 meteorological stations (abbreviations: TIOLI, TIOLV, COM, VRN, VLS, ZEV). These precipitation data are freely available for teaching and research from the MeteoSwiss IDAweb portal (https://www.meteoswiss.admin.ch/services-and-publications/service/weather-and-climate-products/data-portal-for-teaching-and-research.html).
 Codes
R scripts used to determine return levels of the data set are included for both extreme high events and low events. The scripts include the following methods for calculating return levels:
* GEV (Generalized Extreme Value)
* GPD and GPDd (Generalized Pareto Distribution including declustered version)
* eGPD (extended Generalized Pareto Distribution)
* MEV (Metastatistical Extreme Value)
description: Resource Title: R codes for Extreme Values Analysis
 Size: 35946 bytes
 Format: application/x-zip-compressed
 URL: https://www.envidat.ch/dataset/b138fae4-b287-4af6-b666-ef860ac593ff/resource/6647b3fe-62a5-461b-8b22-be7bcdfb51be/download/r_codes.zip
 Description: Zip file containing R codes for running extreme value analyses for high precipitation and inflow events as well as code for determining return levels of low inflow and low precipitation events
description: Resource Title: Daily Luzzone Reservoir Inflow 01-01-2000 to 31-12-2019
 Size: 261834 bytes
 Format: application/vnd.ms-excel
 URL: https://www.envidat.ch/dataset/b138fae4-b287-4af6-b666-ef860ac593ff/resource/f3b117de-ba26-42dd-b958-e46e826222e4/download/luz.csv
 Description: Daily total water inflow to Luzzone reservoir. Natural inflow (LUZ_inflow_raw) is back-calculated based on daily water level in reservoir (removing hydropower inputs and spills). Linear interpolation between daily values is used to bring all inflow values into positive space (LUZ_inflow_intrp).
DOI: 10.17632/4frdhg7d54
title: LINF_200019800

description: Ubiquitin-like domain-containing protein; Leishmania infantum (strain JPCM5)
DOI: 10.16904/envidat.413
title: Plutonium-239+240 and sediment yield data for a small catchment in Southern Italy

description: Quantifying the rates of soil redistribution worldwide poses a significant challenge, which has been addressed using various methods such as direct sediment measurements, models, and the use of isotopic, geochemical, and radionuclide tracers. Among these tracers, the isotope of Plutonium, specifically 239+240Pu, is a relatively recent addition to the study of soil redistribution. However, there is still a lack of direct validation for 239+240Pu as a tracer for soil redistribution. To address this gap, we conducted a study in Southern Italy using a unique sediment yield dataset that extends back to the initial fallout of 239+240Pu. Soil samples were collected from the catchment area as well as undisturbed reference sites, and 239+240Pu was extracted, measured using ICP-MS, and converted into soil redistribution rates.
description: Resource Title: Reference Pu samples
 Size: 17622 bytes
 Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
 URL: https://www.envidat.ch/dataset/9df42ccf-0380-4925-a698-1466d0c2cb20/resource/059d2510-a522-411b-bb6d-4e8f1129c6b0/download/pu_reference_meusburger.xlsx
 Description: We have collected 19 Bulk soil samples in and 3 depth incremental soil profiles in undisturbed reference locations.
description: Resource Title: Erosion Pu samples
 Size: 4842 bytes
 Format: application/vnd.ms-excel
 URL: https://www.envidat.ch/dataset/9df42ccf-0380-4925-a698-1466d0c2cb20/resource/bb11e07d-abd4-43dd-9eaf-31f9f17665b6/download/pu_erosion_meusburger.csv
 Description: We have measured Pu-239+240 in soil samples at erosional sites in the catchment.
DOI: 10.16904/envidat.414
title: Sources and turnover of soil organic matter in Pfynwald irrigation experiment

description: This dataset contains all data on which the following publication below is based.
Paper Citation:
Guidi, C., Lehmann, M.M., Meusburger, K., Saurer, M., Vitali, V., Peter, M., Brunner, I., Hagedorn, F. (accepted). Tracing sources and turnover of soil organic matter in a long-term irrigated dry forest using a novel hydrogen isotope approach. Soil Biology and Biochemistry.
Please cite this paper together with the citation for the datafile.
Data from a 17-year-long irrigation experiment (Pfynwald, Switzerland) in a naturally dry forest dominated by 100-year-old pine trees (Pinus sylvestris).
Data include: (1) Isotopic composition (stable isotope ratios of non-exchangeable hydrogen δ2Hn, carbon δ13C, and nitrogen δ15N) and Hn, C and N concentrations in SOM sources (fresh Pinus sylvestris needles, litter layer, fine roots), bulk SOM (organic layer, 0-2 cm, 2-5 cm, 60-80 cm), particle-size fractions (depths: 0-2 cm, 2-5 cm; cPOM: coarse POM; fPOM: fine POM; MOM: mineral-associated organic matter); (2) Mass loss, δ2Hn values and Hn concentrations of Pinus sylvestris fine roots and needle litter (litter decomposition experiments from Herzog et al. 2019, ISME journal, and Guidi et al. 2022, Global Change Biology); (3) Relative source contribution (foliar litter, fine roots, and mycelia) to bulk SOM and fractions estimated using Bayesian mixing models (R package MixSIAR, version 3.1.12) with irrigation and depth as fixed factors. The models were informed with δ13C, δ15N and δ2Hn values and C, N, and Hn concentrations of foliar litter, roots, and mycelia as input sources. Given the kinetic isotope fractionation occurring during microbial SOM decomposition, the mixing models were informed with isotope fractionation factors, representing the isotope enrichment from sources to soils; (4) Fraction of new organic Hn (Fnew) over the irrigation period, calculated using a simple end-member mixing model according to Balesdent et al. (1987) and mean residence time estimated as MRT = - t / ln (1 - Fnew), with t time in years since irrigation started and assuming single-pool model with first-order kinetics.
description: Resource Title: Raw_data_envidat
 Size: 59301 bytes
 Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
 URL: https://www.envidat.ch/dataset/70903789-1ace-4be5-95d8-45131ebd2322/resource/76b2b237-50fe-44cc-bb62-e1ee1af5105e/download/rawdata_final_envidat_sbb.xlsx
 Description:
DOI: 10.17632/4frdhg7d54.1
title: LINF_200019800

description: Ubiquitin-like domain-containing protein; Leishmania infantum (strain JPCM5)