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476 results for “Footprint”
Fig. 1 in Lopingian tetrapod footprints from the Venetian Prealps, Italy: New discoveries in a largely incomplete panorama
Fig. 1. Geographic location and stratigraphy of the fossil sites (asterisked). Map showing location of the study area in North Italy (A) and Recoaro area (B). Simplified geological map (C). D. Synthetic stratigraphic log of the Permian of Venetian Prealps (a–c, facies associations). Location of Merendaore and Ulbe (E) and Cortiana (F) fossil sites. G, H. Photographs of the Ulbe outcrops, small scale transition between lithofacies (G) and large scale transition between formations (H), with indicated transition between red bed (Rb) and lagoon (Lg) lithofacies of the topmost strata of the Val Gardena Formation, immediately before the deposition of the Bellerophon Formation. BEL, Bellerophon Formation; GAR, Val Gardena Sandstone; Lg, lagoon lithofacies (dolostone); Ps, incipient paleosol with deep mudcracks; Rb, red bed lithofacies (laminated mudstone). Hammer for scale.
Fig. 3 in Lopingian tetrapod footprints from the Venetian Prealps, Italy: New discoveries in a largely incomplete panorama
Fig. 3. Putative parareptile trace cf. Capitosauroides isp. from Ulbe (Italy), Lopingian. A. MCV 7, left pes impression showing digits I–IV. B. MCV 11/05, right manual impression showing digits I–IV. Convex hyporelief, spacing 0.5 mm. Photo (A1, B1), interpretive drawing (A2, B2), false-color depth map (A3, B3), contour lines (A4, B4). Scale bars 10 mm.
Fig. 7 in Lopingian tetrapod footprints from the Venetian Prealps, Italy: New discoveries in a largely incomplete panorama
Fig. 7. Lacertoid neodiapsid eureptile trace Rhynchosauroides isp. (MCV 65) from Merendaore (Italy), Lopingian. Complete right manual impression. An incomplete track and a continuous tail are preserved on the same slab. Convex hyporelief (plaster cast), spacing 0.5 mm. Photo (A), interpretive drawing (B), contour lines (C), false-color depth map (D). Scale bar 10 mm.
FIGURE 4 in First bird footprints from the lower Miocene Lerín Formation, Ebro Basin, Spain
FIGURE 4. Detail of claw marks of Aguilares Uvaichnites riojana. 1, Digit III of AG1-1; 2, digit III of AG1-2; 3, digit IV of AG1-1; 4, Extant crane foot Grus leucogeranus. White arrows indicate the foot claws.
FIGURE 3.1 in First bird footprints from the lower Miocene Lerín Formation, Ebro Basin, Spain
FIGURE 3.1, Picture; 2, false-color depth map of the photogrammetric model; 3, contour lines map with 0.5 mm of equidistance of AG1-1 footprint. 4, Picture, 5, false-color depth map of the photogrammetric model; 6, contour lines map with 0.5 mm of equidistance of Uvaichnites riojana holotype.
FIGURE 2 in First bird footprints from the lower Miocene Lerín Formation, Ebro Basin, Spain
FIGURE 2. Photographs and sketches of the blocks of the Aguilares bird footprints. 1, AG1 block; 2, AG2 block; 3, AG3 block; 4, AG4 block.
FIGURE 1. 1 in First bird footprints from the lower Miocene Lerín Formation, Ebro Basin, Spain
FIGURE 1. 1, Locality map for the Aguilares tracksite and the other tracksites with vertebrate footprints in the western area of the Ebro Basin: 1, Javier-Liédena; 2, Olejua; 3, Olkotz-Etaio; 4, Alcanadre; 5, Desojo-Los Arcos; 6, Cenicero; 7, Logroño; 8, Aguilares. 2, Composite lithostratigraphic and magnetostratigraphic logs of the Cabezo Marijuán stratigraphic section (see Larrasoaña et al., 2006) and their correlation to the ATNTS2004 of Lourens et al. (2004). The position of Aguilares tracksite is described in this study; for the other fossil localities see Murelaga (2000) and see Ruiz-Sánchez et al. (2012).
Raw data to: "Persistent RNA virus infection is short-lived at the single cell level but leaves transcriptomic footprints"
<p>Raw data underlying the publication by Reuther and Martin et al. entitled "Persistent RNA virus infection is short-lived at the single cell level but leaves transcriptomic footprints"</p>
Heavy metal removal from coal fly ash for low carbon footprint cement
<p>Source data for the publication "Heavy metal removal from coal fly ash for low carbon footprint cement"</p>
Replication Data for "Exploring Developer Views on Software Carbon Footprint and its Potential for Automated Reduction"
<p># Replication Data for "Exploring Developer Views on Software Carbon Footprint and its Potential for Automated Reduction"</p> <p>## Overview</p> <p>Reducing software carbon footprint could contribute to efforts to avert climate change. Past research indicates that developers lack knowledge on energy consumption and carbon footprint, and existing reduction guidelines are difficult to apply. Therefore, we propose that automated reduction methods should be explored. However, such tools must be voluntarily adopted and regularly used to have an impact.</p> <p>In this study, we have conducted interviews and a survey (a) to explore developers' existing opinions, knowledge, and practices with regard to carbon footprint and energy consumption, and (b), to identify the requirements that automated reduction tools must meet to ensure adoption. Our findings offer a foundation for future research on practices, guidelines, and automated tools that address software carbon footprint.</p> <p>## Data Contained in This Package</p> <p>- interview_survey_guide.pdf</p> <p>This file contains the interview and survey questions.</p> <p>- interview_responses.docx</p> <p>This file contains relevant material from the interviews.</p> <p>- survey_responses.xlsx</p> <p>This file contains all survey responses.</p> <p>Both interview and survey data has been anonymized to protect the privacy of the participants.</p>
Evolutionary footprints of cold adaptation in arctic-alpine Cochlearia (Brassicaceae) – evidence from freezing experiments and electrolyte leakage
<p><span>As </span><span>global warming progresses, plants may be forced to adapt to drastically changing environmental conditions. Arctic-alpine plants have been among the first to experience the effects of climate change. As a result, cold acclimation and freezing tolerance may become increasingly crucial for the survival as winter warming events and earlier snowmelt will cause increased exposure to occasional frost. The tribe </span><span>Cochlearieae in the mustard family (Brassicaceae) </span><span>offers an instructive system for studying cold adaptation in evolutionary terms, as the two sister genera </span><em><span>Ionopsidium</span></em> <span>and </span><em><span>Cochlearia</span></em> <span>are distributed among different ecological habitats throughout the European continent and the far north into circumarctic regions. By applying an electrolyte leakage assay to leaves obtained from plants cultivated under controlled temperature regimes in growth chambers, the freezing tolerance of different </span><em><span>Ionopsidium</span></em> <span>and </span><em><span>Cochlearia</span></em> <span>species was assessed measuring lethal freezing temperature values (</span><em><span>LT</span><span>50</span></em> <span>and </span><em><span>LT</span><span>100</span></em><span>), thereby allowing for a comparison across different species and accessions in their responses to cold. We hypothesized that, owing to varying selection pressures, geographically distant species would differ in freezing tolerance. Despite </span><em><span>Ionopsidium</span></em> <span>occurring under warm and dry Mediterranean conditions and </span><em><span>Cochlearia</span></em> <span>species distributed often at cold habitats, all accessions exhibited similar cold responses. The results may indicate that physiological adaptations of primary metabolic pathways to different stressors, such as salinity and drought, may confer an additional tolerance to cold; this is because all these stressors induce osmotic challenges. </span></p>
LOFAR Carbon Footprint and Energy Consumption
<p>The LOw Frequency ARray (LOFAR) is a European radio telescope operating since 2010 in the frequency bands 10 - 80 MHz and 110 - 250 MHz. This Excel model provides an analysis of the energy consumption and the carbon footprint of LOFAR. The analysis uses a Life Cycle Analysis following the Green House Gas protocol. Results include the footprint stemming from operations of all LOFAR stations and central processing. The impact of a number of typical science projects is analyzed as well. This model provides a transparent baseline to the sustainability of LOFAR and can serve as a blueprint for the analysis of other research infrastructures.</p>
CWFETB-China: Gridded dataset of consumptive water footprints, evaporation, transpiration, and associate benchmarks of crop production in China (2000-2018)
<p>The CWFETB-China is a 5-arcmin gridded dataset of monthly green and blue water footprint of crop production (WFCP), evaporation (E), transpiration (Tr), and associated unit WFCP benchmarks for 21 crops grown in China during 2000-2018. As compared to the existing gridded WFCP datasets, the CWFETB-China has four improvements: (i) It evaluated the effects of different water supply modes (irrigated or rain-fed) and irrigation practices (furrow, sprinkler, and micro-irrigation) on water consumption throughout the crop growth period. (ii) It distinguished between monthly blue and green water consumption via soil evaporation and crop transpiration. (iii) The dataset encompassed both the WFCP in m<sup>3 </sup>yr<sup>-1</sup> and the uWFCP in m<sup>3 </sup>ton<sup>-1</sup>. (iv) It identified uWFCP benchmarks that differentiated between various climatic zones and irrigation practices. The dataset is able to support for precise crop water productivity assessments, agricultural water-saving evaluations, the development of sustainable irrigation techniques, cropping structure optimisation, and crop-related interregional virtual water trade analysis.</p> <p> </p> <p>Format: NetCDF-4 (5 arcmin) or .xlsx files (benchmark data).</p> <p>Projected coordinate system: WGS 84</p>
The Energy consumption and Carbon Footprint of the LOFAR Telescope V2.0
<p>The LOw Frequency ARray (LOFAR) is a European radio telescope operating since 2010 in the frequency bands 10 - 80 MHz and 110 - 250 MHz. This article provides an analysis of the energy consumption and the carbon footprint of LOFAR. The approach used is a Life Cycle Analysis (LCA). We find that one year of LOFAR operations requires 3,627 MWh of electricity, 48,714 m3 gas and 135,497 liters of fuel. The associated carbon emission is 2,624 tCO2e/year. Results include the footprint stemming from operations of all LOFAR stations and central processing, but exclude scientific post-processing and activities. The potential recovery of embodied footprint in construction materials at the end of life equals 17%. The electrical energy required for scientific processing is assessed separately. It ranges from 1% (standard The Energy Consumption and Carbon Footprint of the LOFAR Telescope imaging and time-domain), to 40% (wide field long baseline imaging) of the energy consumption for the observation. The outcome provides<br> a transparent baseline in making LOFAR more sustainable and can serve as a blueprint for the analysis of other research infrastructures.</p>
Average monthly backward moisture footprints for 40 Ramsar wetland basins under potential and current vegetation scenarios (2008 - 2017)
<p>The dataset contains the backward moisture footprints of the basins of 40 selected Ramsar wetlands for a base run with ERA5 reanalysis evaporation and precipitation, and two additional runs based on evaporation and precipitation from a potential vegetation and a current land use scenario. The dataset can be used to study the upwind moisture sources of the 40 included wetland basins under 'normal' conditions (ERA5 reanalysis), and under a potential vegetation scenario and a current land used scenario.<br>The data was generated to study the impact of upwind land use changes and hydroclimatic changes on selected wetland basins (Fahrländer et al. (2024) using the UTrack atmospheric moisture tracking database by Tuinenburg et al. (2020) and data inputs from the ERA5 reanalysis dataset (Hersbach et al. 2020) and from Wang-Erlandsson et al. (2018) (see References section).</p> <p>The moisture footprints are stored in individual NetCDF format files for each wetland basin and in separate folders for each run. The files are marked with the according Ramsar Convention ID for each respective wetland. The footprints are saved in a spatial resolution of 0.5° and contain monthly average evaporation flows for the period 2008 - 2017. The backward footprints contain the moisture sources for the precipitation in the wetland basins, whereas the forward footprint contain the locations where the evaporation from the basins rains down again.</p> <p>In addition, the dataset contains the delineated basins of the 40 Ramsar wetlands, which are provided in shapefile format and marked with the individual wetland ID of the Ramsar Convention.</p> <p> </p> <p>References:</p> <p>Fahrländer, S. F., Wang‐Erlandsson, L., Pranindita, A., & Jaramillo, F. (2024). Hydroclimatic Vulnerability of Wetlands to Upwind Land Use Changes. <em>Earth’s Future</em>, <em>12</em>(3). <a href="https://doi.org/10.1029/2023EF003837">https://doi.org/10.1029/2023EF003837</a></p> <p>Hersbach, H., Bell, B., Berrisford, P., Hirahara, S., Horányi, A., Muñoz‐Sabater, J., et al. (2020). The ERA5 global reanalysis. <em>Quarterly Journal of the Royal Meteorological Society</em>, <em>146</em>(730), 1999–2049. <a href="https://doi.org/10.1002/qj.3803">https://doi.org/10.1002/qj.3803</a></p> <p>Tuinenburg, O. A., Theeuwen, J. J. E., & Staal, A. (2020). High-resolution global atmospheric moisture connections from evaporation to precipitation. <em>Earth System Science Data</em>, <em>12</em>(4), 3177–3188. <a href="https://doi.org/10.5194/essd-12-3177-2020">https://doi.org/10.5194/essd-12-3177-2020</a></p> <p>Wang-Erlandsson, L., Fetzer, I., Keys, P., van der Ent, R. J., Savenije, H. H. G., & Gordon, L. J. (2018). Remote land use impacts on river flows through atmospheric teleconnections. <em>Hydrology and Earth System Sciences</em>, <em>22</em>(8), 4311–4328. <a href="https://doi.org/10.5194/hess-22-4311-2018">https://doi.org/10.5194/hess-22-4311-2018</a></p>
Canopy top height models at 10m GSD from airborne LIDAR (derived from LVIS and small-footprint ALS)
<p>Rasterized canopy top height models (CTHM) at 10m ground sampling distance (GSD) derived from airborne LIDAR.</p><p>The CTHMs were created to be comparable to GEDI canopy top heights (within 25m footprints) using two sources:</p><p>1) NASA's LVIS airborne LIDAR campaigns (here we rasterized the RH98).<br>2) High-resolution canopy height models derived from small-footprint airborne laser scanning campaigns in Europe (max pooled with a circular 25m footprint corresponding to the GEDI footprint).</p><p>The original LVIS LIDAR data is available here: <a href="https://lvis.gsfc.nasa.gov">https://lvis.gsfc.nasa.gov</a></p><p>Links to the original ALS data are available here: <a href="https://publications.jrc.ec.europa.eu/repository/bitstream/JRC126223/jrc126223_jrc126223_lidaropensourcedata.pdf">https://publications.jrc.ec.europa.eu/repository/bitstream/JRC126223/jrc126223_jrc126223_lidaropensourcedata.pdf</a></p><p>Code to create GEDI-like canopy top heights from high-resolution ALS data is available here: https://github.com/langnico/global-canopy-height-model</p><p>More information is available in the Lang et al. (2022). Please cite our paper if you use these derived data in your own work.</p><p><strong>Reference:</strong></p><p>Lang, N., Jetz, W., Schindler, K., & Wegner, J. D. (2023). A high-resolution canopy height model of the Earth. Nature Ecology & Evolution, 1-12, <a href="https://doi.org/10.1038/s41559-023-02206-6">https://doi.org/10.1038/s41559-023-02206-6</a></p>
Replication Data for "Exploring Genetic Improvement of the Carbon Footprint of Web Pages"
<p>## Overview</p> <p>In this study, we explore automated reduction of the carbon footprint of web pages through genetic improvement, a process that produces alternative versions of a program by applying program transformations intended to optimize qualities of interest. We introduce a prototype tool that imposes transformations to HTML, CSS, and JavaScript code, as well as image resources, that minimize the quantity of data transferred and memory usage while also minimizing impact to the user experience (measured through loading time and number of changes imposed).</p> <p>In an evaluation, our tool outperforms two baselines---the original page and randomized changes---in the average case on all projects for data transfer quantity, and 80% of projects for memory usage and load time, often with large effect size. Our results illustrate the applicability of genetic improvement to reduce the carbon footprint of web components, and offer lessons that can benefit the design of future tools.</p> <p>## Data Contained in This Package</p> <p>- experiment_data/Subject Project-XX-X.xlsx</p> <p>Each spreadsheet contains data collected as part of our experiments, including the fitness scores of the final solutions.</p>
Adaptive alien genes are maintained amidst a vanishing introgression footprint in a sea squirt
<p>This zenodo archive contains the multi-locus genotype tables for the paper "Falling shoulders ahead: adaptive alien genes maintained amidst vanishing introgression footprint in sea squirts". There are three files in this archive:</p> <ul> <li>Ci_KASP_genotypes_2012.csv: genotype table for individuals sampled in 2012</li> <li>Ci_KASP_genotypes_2021.csv: genotype table for individuals sampled in 2021 as well as control individuals from the two <em>Ciona</em> species</li> <li>Ci_KASP_genotypes_hybrids.csv: genotype table for control hybrids</li> </ul>
Data for: Antigen footprint governs activation of the B cell receptor
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Genomic footprints of (pre) colonialism: Population declines in urban and forest túngara frogs coincident with historical human activity
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.