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476 results for “footprints”
Evolutionary footprints of a cold relic in a rapidly warming world
<p>With accelerating global warming, understanding the evolutionary dynamics of plant adaptation to environmental change is increasingly urgent. Here we reveal the enigmatic history of the genus <i>Cochlearia </i>(Brassicaceae)<i>, </i>a Pleistocene relic that originated from a drought-adapted Mediterranean sister genus during the Miocene. <i>Cochlearia</i> rapidly diversified and adapted to circum-Arctic regions and other cold-characterized habitat types during the Pleistocene. This sudden change in ecological preferences was accompanied by a highly complex, reticulate polyploid evolution, which was apparently triggered by the impact of repeated Pleistocene glaciation cycles. Our results illustrate that two early diversified arctic-alpine diploid gene pools contributed differently to the evolution of this young polyploid genus now captured in a cold-adapted niche. Metabolomics revealed central carbon metabolism responses to cold in diverse species and ecotypes, likely due to continuous connections to cold habitats that may have facilitated widespread adaptation to alpine and subalpine habitats, and which we speculate were coopted from existing drought adaptations. Given the growing scientific interest in adaptive evolution of temperature-related traits, our results provide much-needed taxonomic and phylogenomic resolution of a model system as well as first insights into the origins of its adaptation to cold.</p>
Data and code for the manuscript titled "Persistence of SARS-CoV-2 immunity, Omicron's footprints, and projections of epidemic resurgences in South African population cohorts"
<p>Data and code for the manuscript titled “Persistence of SARS-CoV-2 immunity, Omicron’s footprints, and projections of epidemic resurgences in South African population cohorts”</p>
The first COVID-19 related Lockdown Paris Lagrangian model Footprints - Publication dataset
<p>This repository contains the Lagrangian model (LPDM) footprints and concentrations time-series modelled over Paris and the surrounding region of Ile-de-France for the period between March 1 and June 1 of 2019 or the year prior to the first COVID-19 related lockdown, and 2020 the year during which the lockdown occured.</p>
Photovoltaic Windows to Offset the Intensive Energy and Carbon Footprints of Highly Glazed Buildings
<p>Data generated by extensive building energy simulations to determine the impact of next-generation glazing technologies.</p>
Windstorm Return Level Model based on WISC/WWIEUR Footprints as described in Priestley et al. (2023, NHESS)
<p>This dataset and code runs the windstorm return level model as documented in Priestley et al. (2023; https://doi.org/10.5194/nhess-23-3845-2023). </p> <p> </p> <p>The code uses the NAO co-variate and the two options either estimate return levels and uncertainty for one location, with the other script plotting a map for all of Europe (with upper and lower bounds). The code is constructed using python3.7. All model calculations have already been made, and so the data provided is the parameters calculated on a gridpoint basis. </p> <p>Data has been provided for both the WISC footprints (as in the paper), and also the newer Winter Windstorm Indicators for Europe footprints (WWIEUR, https://cds.climate.copernicus.eu/cdsapp#!/dataset/sis-european-wind-storm-indicators?tab=overview), and the model can be run for either. The WISC footprints span 1950-2014, and WWIEUR from 1979-2021.</p> <p>In the code, you must specify the return period(s) of interest, as well as the NAO state. It is recommended that the NAO state does not exceed -2 or +2, as the data used to build the model does not go beyond these bounds. Therefore, any value outside these bounds has no data trained on it. For return periods, we do not recommend going beyond 500 years. Confidence estimates provided are the 95% intervals.</p> <p>In order for the code to run, the data must remain in its current file structure/hierarchy.</p> <p>This model is intended as a tool to test the sensitivity of return levels to NAO state across Europe. For both the WISC and WWIEUR, different estimates are provided due to the different resolutions of the input data, and also the different methodologies used to create the footprints.</p> <p>The model can be run with new input data, any users wishing to do so should please get in touch and this code can be made available.</p> <p> </p> <p>Any queries or questions, please contact via email: m.priestley@exeter.ac.uk</p>
3D meshes of H1 and H6 footprints at PK23 track site, Northern Chile
<p>We report new ichnites corresponding to a trackway composed of three tetradactyl pedal footprints and plant remains near Southeastern Guatacondo, Tarapacá Region, within the transition of Majala and Chacarilla Formations (Late Jurassic-Early Cretaceous). The fossils were found in the context of a Copper Mining road construction at the PK23 site, Quebrada Blanca Phase 2 project, by the Teck Mining Company Quebrada Blanca S.A.</p> <p>We performed stratigraphical, paleobotanical, and paleoichnological studies, along with the footprint characterization and comparisons by Principal Component Analysis, and Discriminant Analysis of I-II, II-III and III-IV interdigital angles, using a large tetradactyl footprint morphological database of potential producers (dinosaurs, crocodiles, lepidosaurs, and pterosaurs). Additionally, we performed 3D pedal computer modeling kinematic analysis of the <em>Chilesaurus diegosuarez</em>i's 3D tetradactyl foot under two different sedimentary conditions (i.e. hard soil with superficial impression, and soft sediment with a penetrative impression), to test it as a potential trackmaker.</p> <p>The stratigraphic section reveals an association of siliciclastic facies, formed by the intercalation of fine-grained sandstones and wackes, with ripple marks, cross and horizontal lamination, evidencing intermittent moderate to low sedimentation energy.</p> <p>Among the plant material, several organs of the family Cheirolepidiaceae were identified such as, leaves and leafy branches of <em>Brachyphyllum</em> type, <em>Classostrobus</em> pollen cone, ovuliferous scales, and wood fragments related to <em>Cupressinoxylon</em>. The monodominance of Cheirolepidiaceae among the preserved macroflora allows inferring the characteristics of the environment in which the plants lived, highlighting halophytic, and temporarily arid conditions. Evidence as a whole, permits to interpret the depositional environment as an arid deltaic-littoral plain, temporarily covered with an ephemeral water layer associated with a stunted woody vegetation, in which terrestrial vertebrates walked by.</p> <p>Despite the low predictive power of the multivariate analysis, due to the various sources of morphological variability inherent to footprint formation, the PK23 footprints seem to better correspond to Dinosauria or Avialae as the most likely producers, rather than to Lepidosauria or Crocodylia, discarding the dinosaur <em>Chilesaurus </em>due to very low interdigital mediolateral rotation capabilities.</p>
STILT footprints data set 3
<p>This repository contains the third batch of training data sets of measurement footprints.</p> <p>The footprints are used to train the deep learning model presented in our paper titled "FootNet v1.0: Development of a machine learning emulator of atmospheric transport".</p> <p>Preprint of the manuscript could be accessed at https://egusphere.copernicus.org/preprints/2024/egusphere-2024-1526/.</p> <p>The footprints are provided in Numpy compressed array format, which could be decompressed with Python 3.10.6 and NumPy 1.23.4.</p>
Fig. 2 in Molecular footprint of parasite co-introduction with Nile tilapia in the Congo Basin
Fig. 2 Median-joining haplotype networks constructed using COI sequences (314 bp) for a Cichlidogyrus sclerosus, b Cichlidogyrus thurstonae and c Cichlidogyrus tilapiae collected in DRC, Madagascar and Burundi
Fig. 1 in Molecular footprint of parasite co-introduction with Nile tilapia in the Congo Basin
Fig. 1 Map of sampling localities with the native range of Nile tilapia in pink (Teugels & Thys van den Audenaerde, 2003; Trewavas & Teugels, 1991). Localities 1–4 are in Lower Congo (1, Tondé; 2, Monzi; 3, Ndimba Leta; 4, Pond near Kila Kindinga), 5 in Middle Congo (Djugu-Djugu ponds), 6–12 in Upper Congo (6, Futuka Farm; 7, Lake Kipopo; 8, Zoo Lubumbashi; 9, Bumaki Farm; 10, Kiswishi River off Futuka Farm; 11, Luapula River off Kashiobwe; 12, Lake Tshangalele); 13 Pond adjacent to Lake Tanganyika, Burundi; 14-16 are in Madagascar (14, Lake Andranotapahina; 15, Ankafarantsika National Park, Lake Ravelobe; 16 Anjingo River near Antsohihy) and 17 is in Lake Kariba, Zimbabwe. Pool Malebo and Boyoma Falls (black bar) divide the Congo Basin in the above-mentioned sections. More info about the sampling localities in Addendum 1
Fig. 4 in Molecular footprint of parasite co-introduction with Nile tilapia in the Congo Basin
Fig. 4 Histogram of K2P model-corrected distances for COI, 18S, ITS-1 and 28S made with ASAP. Red line indicates a significant (P<0.05) barcoding gap. X-axis represents the genetic distance; Y-axis the number of distances
Supporting data and code for: Regional variation in active bottom contacting gear footprints.
Open the record for dataset details and reuse information.
The role of farm subsidies in changing India's water footprint (replication files)
<p>These are the replication files (codes + data) for "The role of farm subsidies in changing India's water footprint".</p> <p>All codes were written executed in STATA MP ver 18.5. Please copy the exact folder structure to your computer. The do files will replicate all tables and figures in the paper. All the data necessary is provided within the data folder.</p> <p>1. all_india.do replicates the results in Tables 1, S1 and Figures 1, S1, S2, S3, and S4.</p> <p>2. punjab_graphs.do replicates figures Figs 2a, 2b, 2c, 2d, 3, and S5.</p> <p>3. punjab regressions.do replicates the results in table S4</p> <p>4. mp_graphs.do replicates figures 4a, 4b, and 4c</p> <p>5. mp_regressions.do replicates the results in tables 2, S5, and S6.</p> <p> </p> <p>Please email Shoumitro Chatterjee (shoumitroc@jhu.edu) or Esha D. Zaveri (esha.d.zaveri@gmail.com) for any further clarification/information.</p>
Data for National carbon footprint estimations of an electrified internet of energy with circular economy under future EV market share prediction in China
<p>This dataset is created for National carbon footprint estimations of an electrified internet of energy with circular economy under future EV market share prediction in China.</p> <p>The dataset includes the energy demand for buildings of each province in China, the Centralized and Distributed PV-battery system design of each province in China, The EV and ICEV carbon emission comparison of each province in China, the electricity price in China, The Carbon footprint and NPV calculation of current and future building-transportation system in China.</p>
Dust rings as a footprint of planet formation in a protoplanetary disk
<p>Simulation outputs of "Dust rings as a footprint of planet formation in a protoplanetary disk".</p> <p>average_output*.dat: azimuthally averaged surface density of gas</p> <p>average_output_dust0*.dat azimuthally averaged surface density of dust grains</p> <p>output*.dat: 2D data for gas</p> <p>output_dust0*.dat: 2D data for dust grains</p> <p>The number of the file indicates the time of output (10xnumber orbit)</p> <p>Regarding to planet0.dat and orbit0.dat, please see http://fargo.in2p3.fr/Output</p>
Data related to carbon flux footprints
<p>Data related to carbon flux footprints</p> <p>Researchers should preferably obtain access by making a data request at the Semi‐Arid Climate and Environment Observatory of Lanzhou University (SACOL; <a href="http://climate.lzu.edu.cn/English/Data_Sharing/LACMS_data.htm">http://climate.lzu.edu.cn/English/Data_Sharing/LACMS_data.htm</a>)</p>
Repository for: Genetic footprints of a rapid and large-scale range expansion: The case of cyclic common vole in Spain
<p>Te repository contains the neccesary genetic data (microsatellite allele frequencies and GenBank accesion numbers for cytb haplotypes) to be able to replicate the analyses performed in the manuscript.</p>
Datasets for "Levelling foods for priority micronutrient value can provide more meaningful environmental footprint comparisons"
<p>Supplementary Data Tables for the article "Levelling foods for priority micronutrient value can provide more meaningful environmental footprint comparison".</p>
A hybrid chemical-biological approach can upcycle mixed plastic waste with reduced cost and carbon footprint
<p>Derived from renewable feedstocks, such as biomass, polylactic acid (PLA) is considered a more environmentally-friendly plastic than conventional petroleum-based polyethylene terephthalate (PET). However, PLA must still be recycled and its growing popularity and mixture with PET plastics at the disposal stage poses a cross-contamination threat in existing recycling facilities and results in low-value and low-quality recycled products. Hybrid upcycling has been proposed as a promising sustainable solution for mixed plastic waste; but its techno-economic and lifecycle environmental performance remain understudied. Here we propose a hybrid upcycling approach using a biocompatible ionic liquid (IL) to first chemically depolymerize plastics, then convert the depolymerized stream via biological upgrading with no extra separation. We show that over 95% of mixed PET/PLA was depolymerized into their respective monomers, which then served as the sole carbon source for the growth of <i>Pseudomonas putida</i>, enabling the conversion of the depolymerized plastics into biodegradable polyhydroxyalkanoates (PHA). In comparison to conventional commercial PHA, the estimated optimal production cost and carbon footprint are reduced by 62% and 29%, respectively.</p>
Reptile - Footprints
# SHYMS:G.1982.210 **Rhynchosaurus** Sandstone slab showing ripple marks and footprints of a Rhynchosaur, an early triassic reptile, from Grinshill, Shropshire. Age: approx 245 million years. Length 40cm Width 27cm Depth 5cm. Imaged using a canon 5DSR to provide 108 images which were then processed using agisoft photoscan at high levels. If you like this model or any others we produce we'd love to hear from you and how you've used them. Source: Objaverse 1.0 / Sketchfab
Cave 2018-12 Bear Footprint
Source: Objaverse 1.0 / Sketchfab
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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)
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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.