cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.16904/envidat.196
title: How to balance forestry and biodiversity conservation? - A view across Europe

description: Forests cover about a third of the European land area and provide a multitude of ecosystem services. They are subject to constant change and increasing demands with respect to the ecosystem services they provide. As well as provision of timber, non-timber forest goods (e.g. berries and mushrooms), clean water, carbon sequestration, and protection against natural disasters, there is increasing emphasis being placed on conservation and promotion of biodiversity within forests. However, the state of biodiversity in European forests varies widely. Because of the different biogeographic, sociocultural, political, and climatic conditions at small scales, there is a wide variety of situations, approaches, and legacies across the continent.
This book strives to show the challenges that forest managers are faced with to fulfil the societal demands with regard to forests, and especially to integrate the promotion of biodiversity. In a first section (12 chapters), 44 authors from science, policy, and practice describe the driving factors of forest management; these factors include national laws and legacies, ownership structures, forest history, and socio-structural conditions. In a second section, 113 authors present 32 case examples from 19 European countries that demonstrate the different approaches to integrate the locally requested ecosystem services. These experiences are synthesised in a final section, and a toolbox of integrative measures is presented that is intended to support forest owners and managers to choose appropriate measures for targeted integrated management in their forests.
Copyright reserved WSL and EFI.
description: Resource Title: How to balance forestry and biodiversity conservation? A view across Europe.
 Size: 213891396 bytes
 Format: application/pdf
 URL: https://www.envidat.ch/dataset/9ed59d04-de36-484f-ac2c-71dbc91adaa3/resource/97860f83-945b-43b7-ad41-fe9fa5ce2929/download/schuck-2020-how_to_balance_forestry_and-published_version.pdf
 Description:
description: Resource Title: Link to DORA WSL
 Size: 1 bytes
 Format: No Info
 URL: https://www.dora.lib4ri.ch/wsl/islandora/object/wsl:25581
 Description:
DOI: 10.16904/envidat.603
title: Swiss Canopy Crane II research site

description: ![alt text](https://www.envidat.ch/dataset/fc69e369-eee9-42ab-8486-d2c38cff317d/resource/68fa7065-de32-4343-aa26-71094c5254ae/download/sccii.jpg "Swiss Canopy Crane II")
This research site is located near Hölstein in Canton Basel-Landschaft in a mature temperate forest that harbours more than 400 trees from 14 different species. The 1.6 ha site is equipped with the latest infrastructure, including 60 automated point dendrometers, automated soil respiration chambers, 72 ceramic suction cups at various locations and depths across the site, and a range of automated environmental sensors in the soil, the forest floor and in the canopy. A key piece of infrastructure is the new Swiss Canopy Crane II (SCC II), a 50 m tall crane with a 50 m jib that provides canopy access to 250 trees from 12 different species.
description: Resource Title: Swiss Canopy Crane II
 Size: 552040 bytes
 Format: image/jpeg
 URL: https://www.envidat.ch/dataset/fc69e369-eee9-42ab-8486-d2c38cff317d/resource/68fa7065-de32-4343-aa26-71094c5254ae/download/sccii.jpg
 Description:
description: Resource Title: Research site metadata
 Size: 14985 bytes
 Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
 URL: https://www.envidat.ch/dataset/fc69e369-eee9-42ab-8486-d2c38cff317d/resource/f2c3b300-e834-438a-84cb-a93b7a273fdd/download/meta-data-sccii-sfl_env.xlsx
 Description:
DOI: 10.17632/pdsjz2wjw7
title: Sensor-Based Environmental Monitoring Dataset: Temperature & Humidity

description: Dataset Description: Environmental Sensor Readings from Mars Rover Prototype

Research Hypothesis
A scaled-down Mars Rover prototype can effectively collect temperature and humidity data, demonstrating how real-time environmental monitoring can be used for autonomous navigation, climate analysis, and anomaly detection. 

By analyzing the collected data, we aim to identify trends, evaluate sensor accuracy, and explore potential improvements in robotic exploration. This includes assessing response time, consistency, and anomalies caused by external factors like human interference or sudden environmental changes. 

What the Data Shows
This dataset contains timestamped temperature and humidity readings collected at regular time intervals by the rover’s onboard DHT22 sensor. The data highlights: 
- Gradual fluctuations in environmental conditions. 
- Notable temperature spikes (~10°C) introduced using a lighter to test sensor response. 
- Stable humidity levels with minor deviations due to air circulation or sensor drift. 

Notable Findings
- Controlled Temperature Spikes: Short bursts of heat resulted in clear temperature increases (~10°C), demonstrating the sensor's ability to detect and log transient changes. 
- Humidity Stability: Humidity levels remained within a narrow range, confirming minimal impact from applied temperature fluctuations. 
- Gradual Environmental Variations: Small temperature and humidity shifts were observed, likely due to ambient conditions and ventilation effects. 

How the Data Was Gathered
- Sensor Used: DHT22 (for temperature & humidity). 
- Data Collection Frequency: Logged every few seconds. 
- Controlled Testing: Heat spikes added using a lighter to simulate external interference. 
- Data Transmission: Logged in real-time via wireless communication to a laptop. 

How to Interpret and Use the Data 
- Identify Trends: Observe temperature and humidity variations over time. 
- Detect Anomalies: Locate sharp temperature spikes (~10°C increases) caused by external heating. 
- Compare Sensor Performance: Evaluate how quickly temperature normalizes after a spike. 
- Develop Predictive Models: Train machine learning models to predict environmental changes. 

Potential Applications
- Autonomous Environment Monitoring: Detecting and responding to environmental anomalies. 
- Sensor Calibration & Validation: Testing DHT22 sensor accuracy under different conditions. 
- Climate Simulation & Research: Indoor climate modeling & environmental trend analysis. 
- Robotics & AI: Training AI for automated responses to climate fluctuations.
DOI: 10.16904/envidat.387
title: Escarpment evolution drives the diversification of the Madagascar flora

description: Although much of the endemic biodiversity of Madagascar can be attributed to its isolation as an island in the Indian Ocean, the high rates of speciation throughout its geologic history suggest an influence of local-scale landscape dynamics. The topographic evolution of Madagascar is dominated by the formation of high-relief continental rift escarpment and we argue that the erosion and landward retreat of this topography creates habitat heterogeneity that has served as a speciation pump for the island. The highest plant richness is found along the escarpment and is characterized by steady diversification rates over the last 45 Ma. Modeled landscape evolution by escarpment retreat demonstrates opportunities for allopatric speciation by transient habitat fragmentation through multiple mechanisms, including catchment expansion, isolation of highland remnants and formation of topographic and river barriers The segregation of floral phylogenetic turnover parallel to the escarpment is consistent with these mechanisms and indicates the importance of erosion-driven landscape dynamics on speciation.
description: Resource Title: Data v1.0
 Size: 777360730 bytes
 Format: application/x-zip-compressed
 URL: https://www.envidat.ch/dataset/5fe6b561-d506-47f4-944b-a5fdc8fc3fe2/resource/b2aad61d-11f6-48ca-94d3-056c95916c7c/download/data.zip
 Description:
description: Resource Title: Escarpment evolution drives the diversification of the Madagascar flora
 Size: 2087857142 bytes
 Format: application/x-zip-compressed
 URL: https://www.envidat.ch/dataset/5fe6b561-d506-47f4-944b-a5fdc8fc3fe2/resource/896d9a92-5cde-4259-a50b-3762698a1d61/download/data.zip
 Description: This upload contains the data (species checklist, species range maps, time-calibrated phylogenies, topographic change, etc.) generated, analyzed, and presented in the paper .
DOI: 10.17632/pdsjz2wjw7.3
title: Sensor-Based Environmental Monitoring Dataset: Temperature & Humidity

description: Dataset Description: Environmental Sensor Readings from Mars Rover Prototype

Research Hypothesis
A scaled-down Mars Rover prototype can effectively collect temperature and humidity data, demonstrating how real-time environmental monitoring can be used for autonomous navigation, climate analysis, and anomaly detection. 

By analyzing the collected data, we aim to identify trends, evaluate sensor accuracy, and explore potential improvements in robotic exploration. This includes assessing response time, consistency, and anomalies caused by external factors like human interference or sudden environmental changes. 

What the Data Shows
This dataset contains timestamped temperature and humidity readings collected at regular time intervals by the rover’s onboard DHT22 sensor. The data highlights: 
- Gradual fluctuations in environmental conditions. 
- Notable temperature spikes (~10°C) introduced using a lighter to test sensor response. 
- Stable humidity levels with minor deviations due to air circulation or sensor drift. 

Notable Findings
- Controlled Temperature Spikes: Short bursts of heat resulted in clear temperature increases (~10°C), demonstrating the sensor's ability to detect and log transient changes. 
- Humidity Stability: Humidity levels remained within a narrow range, confirming minimal impact from applied temperature fluctuations. 
- Gradual Environmental Variations: Small temperature and humidity shifts were observed, likely due to ambient conditions and ventilation effects. 

How the Data Was Gathered
- Sensor Used: DHT22 (for temperature & humidity). 
- Data Collection Frequency: Logged every few seconds. 
- Controlled Testing: Heat spikes added using a lighter to simulate external interference. 
- Data Transmission: Logged in real-time via wireless communication to a laptop. 

How to Interpret and Use the Data 
- Identify Trends: Observe temperature and humidity variations over time. 
- Detect Anomalies: Locate sharp temperature spikes (~10°C increases) caused by external heating. 
- Compare Sensor Performance: Evaluate how quickly temperature normalizes after a spike. 
- Develop Predictive Models: Train machine learning models to predict environmental changes. 

Potential Applications
- Autonomous Environment Monitoring: Detecting and responding to environmental anomalies. 
- Sensor Calibration & Validation: Testing DHT22 sensor accuracy under different conditions. 
- Climate Simulation & Research: Indoor climate modeling & environmental trend analysis. 
- Robotics & AI: Training AI for automated responses to climate fluctuations.
DOI: 10.16904/envidat.606
title: Swiss Municipal Spatial Planning Survey

description: Survey of spatial planning instruments and the organization of land use planning in Swiss municipalities. In 2014, the survey was sent to all Swiss municipalities in letter and online form. The response rate of 69% (i.e. 1619 of 2352 municipalities at this time) results in a representative sample of Swiss municipalities. The survey contains questions on the implementation of 20 specific planning instruments and the decade they had been implemented at first, as well as details on the local planning regimes.
description: Resource Title: Municipal Planning Survey Data for Stata
 Size: 980633 bytes
 Format: .dta
 URL: https://www.envidat.ch/dataset/a1032456-f016-42f4-a21f-849a26c5ce43/resource/99851c4c-2bf3-48ae-8e4b-e41d7e2ffe35/download/municipal-planning-survey.dta
 Description: STATA 13
description: Resource Title: Municipal Planning Survey Data for SPSS
 Size: 2007126 bytes
 Format: No Info
 URL: https://www.envidat.ch/dataset/a1032456-f016-42f4-a21f-849a26c5ce43/resource/f9d0d695-36d9-47f0-a6f3-abc247e401ec/download/municipal-planning-survey_spss
 Description: SPSS
description: Resource Title: Municipal Planning Survey
 Size: 1309046 bytes
 Format: application/pdf
 URL: https://www.envidat.ch/dataset/a1032456-f016-42f4-a21f-849a26c5ce43/resource/22d4c7c5-ed39-4f2a-a7d6-2957b9e3956b/download/municipal-planning-survey_de.pdf
 Description: german
description: Resource Title: Municipal Planning Survey
 Size: 240214 bytes
 Format: application/pdf
 URL: https://www.envidat.ch/dataset/a1032456-f016-42f4-a21f-849a26c5ce43/resource/ae5941d5-886d-43bb-a62e-90bb35145acc/download/municipal-planning-survey_fr.pdf
 Description: francais
description: Resource Title: Glossary
 Size: 167301 bytes
 Format: application/pdf
 URL: https://www.envidat.ch/dataset/a1032456-f016-42f4-a21f-849a26c5ce43/resource/7b8f1dc3-57ec-4f6c-82d5-ee6ffaa5e885/download/glossar_dt.pdf
 Description: german
description: Resource Title: Glossary
 Size: 167531 bytes
 Format: application/pdf
 URL: https://www.envidat.ch/dataset/a1032456-f016-42f4-a21f-849a26c5ce43/resource/0f76de0f-4c0e-4ed9-b302-6a39cea9cbd5/download/glossaire_fr.pdf
 Description: francais
DOI: 10.16904/envidat.599
title: Pfynwald long-term experimental irrigation site

description: ![alt text](https://www.envidat.ch/dataset/39a232b5-c50e-490c-9bee-f04c2f697e14/resource/6d38da33-adc3-498e-aa48-7faf60a50a02/download/lwf_irrigation_experiment-pfynwald_2013.jpg "LWF experimental irrigation site Pfynwald")
As the largest contiguous pine forest in Switzerland, the Pfyn forest in Canton Valais (46° 18' N, 7° 36' E, 615 m ASL) offers the best conditions for such measurements. In light of this, a WSL research team installed a long-term experiment of 20 years duration in the Pfyn forest. The average temperature here is 9.2°C, the yearly accumulated precipitation is 657 mm (average 1961-1990). The pines in the middle of the forest are about 100 years old and 10.8 m high. The test area has 876 trees covering 1.2 ha divided into 8 plots of 1'000 m2 each. Between the months of April and October, four of these plots are irrigated by a sprinkler system providing an additional 700 mm of water, annually. In the other four plots, the trees grow under natural, hence relatively dry conditions.
description: Resource Title: LWF Irrigation Plot Pfynwald
 Size: 136857 bytes
 Format: image/jpeg
 URL: https://www.envidat.ch/dataset/39a232b5-c50e-490c-9bee-f04c2f697e14/resource/6d38da33-adc3-498e-aa48-7faf60a50a02/download/lwf_irrigation_experiment-pfynwald_2013.jpg
 Description: Photo: Maria Schmitt, 2013
description: Resource Title: Tree measurements 2002-2016 from the long-term irrigation experiment Pfynwald, Switzerland
 Size: 1 bytes
 Format: No Info
 URL: https://doi.org/10.16904/11
 Description:
DOI: 10.16904/envidat.604
title: Stable Isotope Research Lab WSL

description: ![alt text](https://www.envidat.ch/dataset/6480bbef-06bf-4da8-8502-96f4def23358/resource/0a9d712c-38ad-4f55-842e-36b21a7e1b97/download/isotopelab_wsl.jpg "Isotope Laboratory WSL")
The lab uses stable isotope ratios of the light elements hydrogen, carbon, nitrogen and oxygen as a universal tool for studying physical, chemical and biological processes in forests and other ecosystems. Due to natural isotope fractionations, environmental changes leave unique fingerprints in organic matter, like tree-rings. It is, therefore, possible to detect the influence of ongoing climate changes on plant physiology. By applying isotopically labelled substrate, matter fluxes through plants and soil can be traced and better understood. The facility has isotope-Ratio mass-spectrometers and dedicated periphery for the analysis of organic matter, gas samples and water samples. With HPLC and GC we apply compound-specific isotope ratio analysis of sugars and organic acids. Additional isotope mass-spectrometers are operated by the Zentrallabor WSL.
description: Resource Title: Isotope laboratory WSL
 Size: 306305 bytes
 Format: image/jpeg
 URL: https://www.envidat.ch/dataset/6480bbef-06bf-4da8-8502-96f4def23358/resource/0a9d712c-38ad-4f55-842e-36b21a7e1b97/download/isotopelab_wsl.jpg
 Description:
DOI: 10.17632/ymmcbh92v6
title: Spontaneous cell morphogenesis via self-propelled actin filaments

description: Cells frequently undergo spontaneous morphogenesis, yet the underlying mechanisms remain incompletely understood. While actin filaments are central to cell morphogenesis and are typically regulated by biochemical signaling, cells can form protrusions even without clear external cues, suggesting the existence of intrinsic physical mechanisms. Here, we report that actin filaments undergo directional movement driven by treadmilling, an ATP-fueled polymerization-disassembly cycle intrinsic to actin. These Self-propelled Treadmilling Actin filaments (SpTAs), exhibit stochastic yet directional motion, in a manner similar to self-propelled “particles” rather than the previously reported reaction-diffusion “waves”. SpTA arrival at the cell periphery drives membrane protrusion by orienting their polymerizing ends outwards. This SpTA accumulation, guided by nascent membrane curvature, further amplifies protrusion growth and expansion, driving cellular polarization for migration. Our findings establish actin filament as a novel class of active particle, providing a fundamental physical framework for understanding how molecular-scale motion leads to higher-order organization in living systems.
DOI: 10.17632/ymmcbh92v6.2
title: Spontaneous cell morphogenesis via self-propelled actin filaments

description: Cells frequently undergo spontaneous morphogenesis, yet the underlying mechanisms remain incompletely understood. While actin filaments are central to cell morphogenesis and are typically regulated by biochemical signaling, cells can form protrusions even without clear external cues, suggesting the existence of intrinsic physical mechanisms. Here, we report that actin filaments undergo directional movement driven by treadmilling, an ATP-fueled polymerization-disassembly cycle intrinsic to actin. These Self-propelled Treadmilling Actin filaments (SpTAs), exhibit stochastic yet directional motion, in a manner similar to self-propelled “particles” rather than the previously reported reaction-diffusion “waves”. SpTA arrival at the cell periphery drives membrane protrusion by orienting their polymerizing ends outwards. This SpTA accumulation, guided by nascent membrane curvature, further amplifies protrusion growth and expansion, driving cellular polarization for migration. Our findings establish actin filament as a novel class of active particle, providing a fundamental physical framework for understanding how molecular-scale motion leads to higher-order organization in living systems.
DOI: 10.16904/envidat.485
title: Dataset of the Socio-cultural Forest Monitoring Switzerland for WaMos2 and WaMos3

description: This repository consists of the merged data from WaMos2 (2010) and WaMos3 (2020) and also includes both Corona-related surveys that have been conducted within the phase of WaMos3. 
WaMos3 is the third assessment of the relationship of the Swiss population to the forest after 1997 and 2010 and was conducted in 2020. As in WaMos2 in 2010, the attitude of the population to the forest as a recreation area, to wood production and to the protective and ecological functions were examined. The topic of climate change was also included. In addition, the views of adolescents between 15 and 18 years of age were taken into account for the first time. 
A detailed description of the provided data can be found in accompanied file "WaMos_Metadatenbeschreibung_221027.pdf" which also contains explanations and examples of the merging process from WaMos2 to WaMos3 as well as sampling procedures. Further, the samples itself can be processed with the help of the provided R-file "EnviDat_WaMos_dataset.R".
description: Resource Title: WaMos meta data description
 Size: 544437 bytes
 Format: application/pdf
 URL: https://www.envidat.ch/dataset/1fed4aeb-4879-4a86-8106-d4ac084f4819/resource/72a4cba1-bc0f-4045-afe3-fd781903f9de/download/wamos_metadatenbeschreibung_221027.pdf
 Description:
description: Resource Title: WaMos data
 Size: 22248789 bytes
 Format: application/x-zip-compressed
 URL: https://www.envidat.ch/dataset/1fed4aeb-4879-4a86-8106-d4ac084f4819/resource/bd3721d4-1966-4834-b09f-50bd393658e0/download/wamos_samples.zip
 Description:
description: Resource Title: WaMos data scripts and pre-processing information
 Size: 386948 bytes
 Format: application/x-zip-compressed
 URL: https://www.envidat.ch/dataset/1fed4aeb-4879-4a86-8106-d4ac084f4819/resource/2d769e5d-6367-44d0-98f2-6ea661d05ff3/download/wamos_sample_processing.zip
 Description:
DOI: 10.16904/envidat.600
title: Meteorological data used to develop and validate the bias-detecting ensemble (BDE)

description: These data were used to drive and evaluate Jules Investigation Model (JIM) snow simulations. The data provided are the forcing data used for the "deterministic" runs as described in Winstral et al., 2019. The bias-detecting ensemble (Winstral et al., 2019) used observed snow depths (HS) to detect biases in these deterministic simulations related to precipitation and energy inputs to JIM. Simulations that included the BDE evaluations substantially improved JIM simulations.
description: Resource Title: DEM
 Size: 568273 bytes
 Format: text/plain
 URL: https://www.envidat.ch/dataset/04470a99-93e5-499d-b869-6c30dffdc2f5/resource/705365e0-bdd9-4dca-966d-e8f9b9b7ede5/download/dem.txt
 Description: 1-km resolution DEM used for downscaling gridded NWP data to stations and for distributing BDE evaluations at HS-stations to SWE-stations
description: Resource Title: READ_ME
 Size: 1134 bytes
 Format: text/plain
 URL: https://www.envidat.ch/dataset/04470a99-93e5-499d-b869-6c30dffdc2f5/resource/30d1a503-fd18-43a5-9af9-e0e0f1855272/download/read_me.txt
 Description: File/data descriptor
description: Resource Title: Station forcing data
 Size: 152284372 bytes
 Format: application/zip
 URL: https://www.envidat.ch/dataset/04470a99-93e5-499d-b869-6c30dffdc2f5/resource/282b7bc4-a607-4927-a2fd-858610a973c8/download/forcings.zip
 Description: All forcing data need to run JIM at HS and SWE stations. These are data downscaled directly from COSMO NWP data (WY14, WY15) and further enhanced by additional station observations of snow depth (HS) and air temperature (Ta) in WY17. Further information can be found in README file. Note that in WY14 and WY15, shortwave radiation was not split into direct and diffuse (not necessary for JIM) and that the default method in JIM for splitting precipitation phase was used. In WY 17, direct and diffuse were combined as input to JIM and JIM was forced with pre-processed liquid and solid precipitation phases.
description: Resource Title: HS and SWE observations
 Size: 1214806 bytes
 Format: application/zip
 URL: https://www.envidat.ch/dataset/04470a99-93e5-499d-b869-6c30dffdc2f5/resource/d1a89df0-4991-48a0-8fbc-35f72afb953e/download/validation.zip
 Description: Automated (HS) and manual (SWE) data used to evaluate model simulations
DOI: 10.5281/zenodo.15699346
title: Silver Dithiocarbamates Derived from Amino Acid Esters

description: Fully optimised equilibrium structures as obtained for the singlet ground state of  the Ag complexes of interest. The hybrid functional B3LYP was utisied in combination with the triple-ζ basis set def2-TZVP as well as with D3BJ dispersion correction.