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Fig. 6 in Sex-ratio and body size plasticity in two cold-adapted ground beetles co-occurring in a periglacial area of the European Alps (Coleoptera: Carabidae)
Fig. 6 – Boxplot of head width of Nebria germarii females as a function of landform. p-value of N. germarii morphometric analysis with Kruskal-Wallis test, that evaluate the presence of significant differences in body size between landforms with ice (active rock glacier) and without ice (fossil rock glacier and scree slope). Asterisk highlights significant values.
Fig. 2 in Sex-ratio and body size plasticity in two cold-adapted ground beetles co-occurring in a periglacial area of the European Alps (Coleoptera: Carabidae)
Fig. 2 – Dorsal view of Nebria germarii and representation of the measured body parameters. For the meaning of the letters see the text (Photo by A. Carlin).
Fig. 4 in Sex-ratio and body size plasticity in two cold-adapted ground beetles co-occurring in a periglacial area of the European Alps (Coleoptera: Carabidae)
Fig. 4 – Boxplot of Nebria castanea body parameters as a function of sex (F=female; M=male). p-value of the Kruskal-Wallis tests for N. castanea body size as a function of sex. Asterisk highlights significant values.
Zbiva, Early Medieval Data Set for the Eastern Alps. Data sub-set
<p><strong>Zbiva, Early Medieval Data Set for the Eastern Alps</strong></p><p> </p><p>Authors: Benjamin Štular, Andrej Pleterski, Mateja Belak</p><p>Institution: Znanstvenoraziskovalni center Slovenske akademije znanosti in umetnosti</p><p>Location and date: Ljubljana (Slovenia), 6 December 2021</p><p> </p><p>This dataset is a subset of Zbiva database. Zbiva is an open-access online research data base for the archaeology of the Eastern Alps in the Early Middle Ages. It consists of four parts: archaeological sites, graves, artefacts, and bibliography. Geographically, it contains data from present-day Slovenia, Austria, NW Croatia and NE Italy. For comparison purposes, it also includes selected relevant sites from neighbouring regions.</p><p>To access Zbiva directly go to https://zbiva4.zrc-sazu.si/en.</p><p>Read more about Zbiva:</p><p>Štular, B. (2019). The Zbiva Web Application: a tool for Early Medieval archaeology of the Eastern Alps . In J. D. Richards & F. Niccolucci, Eds. <i>The ARIADNE Impact;</i> (pp. 69–82). Archaeolingua, Budapest. https://doi.org/10.5281/zenodo.3476712.</p><p>Štular, B., Belak, M., Deep Data Example: Zbiva, Early Medieval Data Set for the Eastern Alps. – Research Data Journal for the Humanities and Social Sciences, September 2022; https://doi.org/10.1163/24523666-bja10024.</p><p> </p><p>This dataset is a subset of the Zbiva. It is published as a supporting material for:</p><p>Štular, B., Lozić, E., Belak, M., Rihter, J., Koch, I., Modrijan, Z., Magdič, A., Karl, S., Lehner, M., Gutjahr, Ch. 2022, Migration of Alpine Slavs and machine learning: Space-time pattern</p><p>A detailed description of the dataset including the metada is part of the downloadable dataset.</p>
Will forest dynamics continue to accelerate throughout the 21st century in the Northern Alps?
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Land use and land cover scenarios for the Maurienne valley (French Alps) at 2085 horizon produced using CLUMPY model
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DNA metabarcoding data: Altitudinal zonation of green algae biodiversity in the French Alps
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Biomass production at 2085 horizon for the Maurienne valley (French Alps) estimated using a Bayesian Belief Network
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McMurdo Dry Valleys Lake Bonney Autonomous Lake Profiler and Samplers (ALPS): Particulate Organic Carbon and Nitrogen Concentrations
Knowledge of the McMurdo Dry Valley (MDV) lakes is limited by winter access, a period which is most relevant in understanding the habitability of other icy worlds and critical to understanding the overall function of these lakes. Owing to the lack of winter access, data that normally require human presence are incomplete. Our goal was to conduct the first year-round investigation of the biogeophysics of these unique lakes. An important part of the McMurdo Long Term Ecological Research (LTER) is evaluating carbon and nitrogen budgets in perennial ice-covered lakes. This data set addresses this core area of research and quantifies the particulate carbon and nitrogen found at specific depths in McMurdo Dry Valley lakes.
McMurdo Dry Valleys Lake Bonney Autonomous Lake Profiler and Samplers (ALPS): Conductivity, Temperature, and Pressure
Knowledge of the McMurdo Dry Valley (MDV) lakes is limited by winter access, a period which is most relevant in understanding the habitability of other icy worlds and critical to understanding the overall function of these lakes. Owing to the lack of winter access, data that normally require human presence are incomplete. Our goal was to conduct the first year-round investigation of the biogeophysics of these unique lakes. An important part of the McMurdo Long Term Ecological Research (LTER) is evaluating carbon and nitrogen budgets in perennial ice-covered lakes. This data set addresses this core area of research and quantifies the vertical profile of conductivity, temperature, and pressure in Lake Bonney.
McMurdo Dry Valleys Lake Bonney Autonomous Lake Profiler and Samplers (ALPS): Dissolved CO2 Concentrations
Knowledge of the McMurdo Dry Valley (MDV) lakes is limited by winter access, a period which is most relevant in understanding the habitability of other icy worlds and critical to understanding the overall function of these lakes. Owing to the lack of winter access, data that normally require human presence are incomplete. Our goal was to conduct the first year-round investigation of the biogeophysics of these unique lakes. An important part of the McMurdo Long Term Ecological Research (LTER) is evaluating carbon and nitrogen budgets in perennial ice-covered lakes. This data set addresses this core area of research and quantifies the dissolved CO 2 concentrations found at specific depths in McMurdo Dry Valley lakes.
McMurdo Dry Valleys Lake Bonney Autonomous Lake Profiler and Samplers (ALPS): Photosynthetically Active Radiation
Knowledge of the McMurdo Dry Valley (MDV) lakes is limited by winter access, a period which is most relevant in understanding the habitability of other icy worlds and critical to understanding the overall function of these lakes. Owing to the lack of winter access, data that normally require human presence are incomplete. Our goal was to conduct the first year-round investigation of the biogeophysics of these unique lakes. An important part of the McMurdo Long Term Ecological Research (LTER) is evaluating carbon and nitrogen budgets in perennial ice-covered lakes. This data set addresses this core area of research and quantifies the intensity of photosynthetically active radiation (PAR) at specific depths in McMurdo Dry Valley lakes.
McMurdo Dry Valleys Lake Bonney Autonomous Lake Profiler and Samplers (ALPS): BBE moldanke Fluoroprobe data
Knowledge of the McMurdo Dry Valley (MDV) lakes is limited by winter access, a period which is most relevant in understanding the habitability of other icy worlds and critical to understanding the overall function of these lakes. Owing to the lack of winter access, data that normally require human presence are incomplete. Our goal was to conduct the first year-round investigation of the biogeophysics of these unique lakes. An important part of the McMurdo Long Term Ecological Research (LTER) is evaluating carbon and nitrogen budgets in perennial ice-covered lakes. This data set addresses this core area of research and quantifies the fluorometric characteristics of phytoplankton species year-round
Data from: First evidence for allotriploid hybrids between Juniperus thurifera and J. sabina in a sympatric area in the French Alps
<p>At Saint Crépin location (French Alps), where sympatry between the tetraploid <i>Juniperus thurifera</i> and the diploid <i>Juniperus sabina</i> occurs, three individuals with an atypical morphology<i>,</i> have been observed. AFLP markers were used to unravel hybridization and potential introgression events in this population. In total, 147 polymorphic loci remained after the process of peak selection. This dataset demonstrates hybrids originated from a cross between <i>J. sabina</i> and <i>J. thurifera</i> and suggests that back-cross at least to <i>J. thurifera </i>is possible. This study shed light on a rare case of hybridization of two <i>Juniperus</i> species with different ploidy levels in natural sympatric population.</p>
Influence of climate, soil and land cover on plant species distribution in the European Alps
<p>Although the importance of edaphic factors and habitat structure for plant growth and survival is known, both are often neglected in favor of climatic drivers when investigating the spatial patterns of plant species and diversity. Yet, especially in mountain ecosystems with complex topography, missing edaphic and habitat components may be detrimental for a sound understanding of biodiversity distribution. Here, we compare the relative importance of climate, soil and land cover variables when predicting the distributions of 2'616 vascular plant species in the European Alps, representing approximately two thirds of all European Flora. Using presence-only data, we built point-process models (PPMs) to relate species observations to different combinations of covariates. We evaluated the PPMs through block cross-validations, and assessed the independent contributions of climate, soil and land cover covariates to predict plant species distributions using an innovative predictive partitioning approach. We found climate to be the most influential driver of spatial patterns in plant species with a relative influence of ~58.5% across all species, with decreasing importance from low to high elevations. Soil (~20.1%) and land cover (~21.4%), overall, were less influential than climate, but increased in importance along the elevation gradient. Furthermore, land cover showed strong local effects in lowlands, while the contribution of soil stabilized at mid-elevations. The decreasing influence of climate with elevation is explained by increasing endemism, and the fact that climate becomes more homogeneous as habitat diversity declines at higher altitudes. In contrast, soil predictors were found to follow the opposite trend. Additionally, at low elevations, human-mediated land cover effects appear to reduce the importance of climate predictors. We conclude that soil and land cover are, like climate, principal drivers of plant species distribution in the European Alps. While disentangling their effects remains a challenge, future studies can benefit markedly by including soil and land cover effects when predicting species distributions.</p>
Primary hybrid zone formation in Tephroseris helenitis (Asteraceae), following postglacial range expansion along the central Northern Alps
<p>Secondary vs. primary hybrid zone formation remains a challenging task as the time window in which these historical (vicariant) vs. contemporary (environmental-selective) processes are distinguishable may be relatively narrow.</p> <p>To examine the origin and structure of a transition zone between two subspecies of <i>Tephroseris helenitis</i> along the central Northern Alps, molecular (AFLP) and morphological (achene type) data as well as ecological niche models (ENMs) were used. Samples were collected over a <i>c.</i> 350 km-long transect, largely covered by ice during the Last Glacial Maximum (LGM).</p> <p>Genetically non-admixed individuals of subspp. <i>helenitis</i> vs. <i>salisburgensis</i> dominated the westernmost vs. eastern transect areas, with admixed individuals occurring in between. Cline for achene morphology was steep, largely non-coincidental, and displaced to the east of the cline centre for neutral AFLPs. During the LGM, ssp. <i>helenitis</i> should have been able to persist in a refugium southwest of the transect, while suitable habitat for ssp. <i>salisburgensis</i> was apparently absent at this time.</p> <p>Patterns of genetic and clinal variation in combination with our ENM data are suggestive of a primary hybrid zone that originated after the species' postglacial, eastward expansion.</p> <p> </p>
Climate associated genetic variation in Fagus sylvatica and potential responses to climate change in the French Alps
<p><span><span><span><span><span><span><span><span><span><span><span>Local adaptation patterns have been found in many plants and animals, highlighting the genetic heterogeneity of species along their range of distribution. In the next decades, global warming is predicted to induce a change in the selective pressures that drive this adaptive variation, forcing a reshuffling of the underlying adaptive allele distributions. For species with low dispersion capacity and long generation time such as trees, the rapidity of the change could imped the migration of beneficial alleles and lower their capacity to track the changing environment. Identifying the main selective pressures driving the adaptive genetic variation is thus necessary when investigating species capacity to respond to global warming. In this study, we investigate the adaptive landscape of <i>Fagus sylvatica</i> along a gradient of populations in the French Alps. Using a double digest restriction-site associated DNA (ddRAD) sequencing approach, we identified 7,000 SNPs from 570 individuals across 36 different sites. A redundancy analysis (RDA)-derived method allowed us to identify several SNPs that were strongly associated with climatic gradients; moreover, we defined the primary selective gradients along the natural populations of <i>F. sylvatica</i> in the Alps. Strong effects of elevation and humidity, which contrast north-western and south-eastern site, were found and were believed to be important drivers of genetic adaptation. Finally, simulations of future genetic landscapes that used these findings allowed identifying populations at risk for <i>F. sylvatica </i>in the Alps, which could be helpful for future management plans. </span></span></span></span></span></span></span></span></span></span></span></p>
Chapel in Stubai Alps / Tyrol
Photogrammetric true-to-scale 3d reconstruction of the "Guardian Angel Chapel" (Schutzengel-Kapelle) from architect Clemens Holzmeister, in the Schlickeralm in the municipality of Telfes / Stubai / Austria. Note: This model is a subset of only 1 million points, original model is 10x Source: Objaverse 1.0 / Sketchfab
Línia Pirineus (Alp)
Model creat per Laia Gallego Vila. Fotogrametria arqueològica del niu d'ametralladora del centre de resistència 49 de la Línia Pirienus, al municipi català d'Alp. Source: Objaverse 1.0 / Sketchfab
Sequence of snow maps produced from Sentinel-2 type of observations (SPOT-5 Take 5) over the Deux Alpes and Alpe d'Huez ski resorts
<p>This is a series of snow cover maps between April 11 and September 8, 2015 over a region that covers the Deux Alpes and Alpe d'Huez ski resorts in France. The snow maps were produced from a SPOT-5 Take 5 images using the "Let-it-snow" processor (v1.0, June 2016: http://tully.ups-tlse.fr/grizonnet/let-it-snow).</p> <p>The SEB folder contains 20 GeoTiff at 10 m résolution in Lambert-93 projection system coded as follows (cf. http://tully.ups-tlse.fr/grizonnet/let-it-snow#products-format):</p> <p> 0: No-snow<br> 100: Snow<br> 205: Cloud including cloud shadow<br> 254: No data</p> <p>The "anim_no05jul_opt" animated gif was produced from these data after performing a simple temporal interpolation given by the following rules:</p> <ul> <li>If a pixel masked by a cloud was marked as snow in the preceding image and in the following image, then it is reclassified as a snow pixel.</li> </ul> <ul> <li>If a pixel masked by a cloud was marked as no-snow in the preceding image and in the following image, then it is reclassified as a no-snow pixel.</li> </ul> <p>The July 05 image was removed from the animation due to a cloud/snow confusion. This type of error should be avoided with Sentinel-2 data thanks to an additional "high cloud" test (see http://tully.ups-tlse.fr/grizonnet/let-it-snow/blob/master/doc/tex/ATBD_CES-Neige.pdf).</p> <p>These data were featured in this blog post : Gascoin, S. "Monitoring the snow cover in ski resorts using Sentinel-2" (19-Sep-2016) http://www.cesbio.ups-tlse.fr/multitemp/?p=8676</p>
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.