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3,225 results for “Case of study”
Correlation challenges for North Sea offshore wind power: a Norwegian case study
<p>Dataset and results from this study: Hjelmeland, M., & Nøland, J. K. (2023). Correlation challenges for North Sea offshore wind power: a Norwegian case study. Scientific Reports 2023 13:1, 13(1), 1–17. <a href="https://doi.org/10.1038/s41598-023-45829-2">https://doi.org/10.1038/s41598-023-45829-2</a></p><p>The git hub repo with source code can be found here: <a href="https://github.com/martinhjel/wind-covariation">https://github.com/martinhjel/wind-covariation</a></p>
A dataset of community perspectives on living conditions and disaster risk management in informal settlements: A case study in KwaZulu-Natal Province, South Africa
<p>This article describes a dataset of community perspectives on living conditions and disaster risk management in Khan Road, a non-serviced informal settlement, located in Pietermaritzburg, the capital of KwaZulu-Natal province in South Africa. The data were collected by local community researchers via a structured questionnaire of 159 participants conducted between August and September 2022, using mobile phones via KoboToolbox. The dataset was analysed using exploratory data analysis (EDA) techniques. This household survey is part of a research project aiming to develop an evidence base of opportunities, risks and vulnerabilities related to housing construction and resource management in incremental upgrading of informal settlements in South Africa. This dataset can be used by local practitioners and policymakers involved in decision-making for informal settlement upgrading and help them prioritise resources and upgrading interventions based on what informal dwellers need. Furthermore, this cleaned dataset could support the analysis of further South African data guiding the development of digital platforms as a real-time resource management tool or guide the enhancement of existing theoretical frameworks in the field of participatory design and co-production used by academic scholars. </p>
Proximity-sensors on GPS collars reveal fine-scale predator-prey behavior during a predation event: A case study from Scandinavia
<p>Although the advent of high-resolution GPS tracking technology has helped increase our understanding of individual and multi-species behavior in wildlife systems, detecting and recording direct interactions between free-ranging animals remains difficult. In 2023, we deployed GPS collars equipped with proximity sensors (GPS proximity collars) on brown bears (<em>Ursus</em> <em>arctos</em>) and moose (<em>Alces</em> <em>alces</em>) as part of a multi-species interaction study in central Sweden. On 6 June, 2023, a collar on an adult female moose and a collar on an adult male bear triggered on each other's UHF signal and started collecting fine-scale GPS positioning data. The moose collar collected positions every 2 minutes for 89 minutes and the bear collar collected positions every 1 minute for 41 minutes. On 8 June, field personnel visited the site and found a female neonate moose carcass with clear indications of bear bite marks on the head and neck. During the predation event, the bear remained at the carcass while the moose moved back and forth, moving towards the carcass site about 5 times. The moose was observed via drone with 2 calves on 24 May and with only one remaining calf on 9 June. This case study describes, to the best of our knowledge, the first instance of a predation event between two free-ranging, wild species recorded by GPS proximity collars. Both collars successfully triggered and switched to finer-scaled GPS fix rates when the individuals were in close proximity producing detailed movement data for both predator and prey during and after a predation event. We suggest that, combined with standard field methodology, GPS proximity collars placed on free-ranging animals offer the ability for researchers to observe direct interactions between multiple individuals and species in the wild without the need for direct visual observation.</p>
Data for: "Hydrogen for harvesting the potential of offshore wind: A North Sea case study"
<p>Supply and demand data for hydrogen and electricity for article "Hydrogen for harvesting the potential of offshore wind: A North Sea case study".</p><p> </p><p>The data is based on the following work:</p><p>G. Durakovic, P. C. del Granado, A. Tomasgard, Powering Europe with North Sea offshore wind: The impact of hydrogen investments on grid infrastructure and power prices, Energy 263 (2023) 125654. doi:10.1016/j.energy.2022.125654.</p><p>The data is obtained from the EMPIRE model found at https://github.com/Goggien/EMPIRE-Public.</p><p>The EMPIRE model is developed at NTNU in The Department of Industrial Economics and Technology Management.</p>
Data and code from Lamb et al., "Evaluating conservation units using network analysis: a sea duck case study"
<p>This file consists of data and code used to construct network models for scoters in North America and is associated with the manuscript "<strong>Evaluating conservation units using network analysis: a sea duck case study</strong>" published in Frontiers in Ecology and the Environment. </p><p> </p><p><strong>Continental scoter network mapping </strong>is the R script used to run analyses.</p><p> </p><p><strong>duck_nodes</strong> is the main datafile. Columns are organized as follows:</p><p>id - unique identifier</p><p>species - species from which the centroid was obtained (BLSC = black scoter, SUSC = surf scoter, WWSC = white-winged scoter)</p><p>stage - period of the annual cycle to which the centroid belongs (W = winter, B = breeding, S = spring staging, M = fall staging and molt, WM = winter migration, BM = breeding migration, MM = molt migration, SM = spring migration)</p><p>site - position of centroid within season (i.e., W1 = first site occupied during winter, W2 = second site occupied, etc.)</p><p>cycle - number of annual cycles following transmitter attachment (1 = first cycle after attachment, 2 = second cycle after attachment, etc.)</p><p>sex - sex of individual (M = male, F = female)</p><p>age - age of individual (HY = hatch year, SY = second year, TY = third year, ASY = after second year, ATY = after third year, AHY = after hatch year</p><p>capture_reg - general area where individual was captured</p><p>capture_subreg - specific region within capture region where individual was captured</p><p>lon - longitude of centroid</p><p>lat - latitude of centroid</p><p>duration - number of days spent at centroid</p><p>start - date of arrival at centroid</p><p>end - date of departure from centroid</p><p>jstart - Julian date of arrival at centroid</p><p>jend - Julian date of departure from centroid</p><p>season - season of annual cycle in which centroid occurred (W = winter, F = fall, B = breeding, S = spring)</p><p>year - calendar year in which centroid began</p><p>to - node in which centroid is grouped</p><p>from - node in which previous centroid is grouped (i.e., node in which indiviual was located before moving to present node)</p><p>to_sea - season of annual cycle in which centroid occurred</p><p>from_sea - season of annual cycle in which previous centroid occurred</p><p>type - movement type to centroid; the first letter represents the season (coded as in "season" column), and the second represents the nature of the movement (WD = dispersal within a season, M = migration among seasons)</p><p>type2 - same as "type", but with dispersal movements coded by the stage in which they occur (W = winter, B = breeding, SM = spring migration, WM = winter migration)</p><p>ew - capture location in eastern (east; Atlantic and Great Lakes) or western (west; Pacific) North America</p><p>count_ind_sp - total number of tracked individuals of the species represented by centroid</p><p>wt - base centroid weight (all centroids equal, deployments excluded)</p><p>wt_sp - species-adjusted centroid weight: for centroid <i>x</i> in species <i>s</i>, weight<i>x</i> = (<i>N </i>centroids) × (1 / (<i>n </i>centroids in <i>s</i>))</p><p>wt_dur - duration-adjusted centroid weight: for centroid <i>x</i>, weight<i>x</i> = (days at centroid location) × 365-1</p><p>wt_ind - individual-adjusted centroid weight: for centroid <i>x</i> in individual<i> j</i>, weight<i>x</i> = 1 / (<i>n </i>centroids in <i>j</i>)</p><p>wt_ind_sp - individual and species adjusted centroid weight: for centroid <i>x</i>, individual <i>j</i>, and species <i>s</i>, weight<i>x</i> = (<i>N </i>centroids / (<i>N </i>species * <i>n</i> individuals in <i>s</i>)) × (1 / (<i>n </i>centroids in <i>j</i>))</p><p>wt_cap - capture location adjusted centroid weight: for centroid <i>x</i> and capture location <i>c, </i>weight<i>x </i>= (<i>N </i>centroids / <i>N</i> capture locations) / <i>n</i> centroids in <i>c</i></p><p>wt_ew - east-west adjusted centroid weight: for for centroid <i>x</i> and region <i>r, </i>weight<i>x </i>= (<i>N </i>centroids / <i>N</i> regions) / <i>n</i> centroids in <i>r</i></p><p>wt_spew - species and east-west adjusted centroid weight: for centroid <i>x</i> species <i>s</i>, and region <i>r, </i>weight<i>x </i>= (<i>N </i>centroids / (<i>N</i> species × <i>N</i> regions)) / <i>n </i>centroids for species <i>s</i> in region <i>r</i></p><p>wt_indspew - individual, species, and east-west adjusted centroid weight: for centroid <i>x,</i> individual<i> j, </i>species <i>s</i>, and region <i>r, </i>weight<i>x </i>= <i>N </i>centroids / (<i>N</i> species × <i>N</i> regions × <i>n</i> centroids for individual <i>j </i>× <i>n</i> individuals for species <i>s</i> in region <i>r</i>)</p><p>wt_spewcap - species, east-west, and capture location adjusted centroid weight: for centroid <i>x,</i> species <i>s</i>, capture location <i>c, </i>and region <i>r, </i>weight<i>x </i>= <i>N </i>centroids / (<i>N</i> species × <i>N</i> regions × <i>n</i> centroids for species <i>s</i> in capture location <i>c </i>× <i>n</i> capture locations for species <i>s</i> in region <i>r</i>)</p>
CAIRT/IASI-NG/CAIRT+IASI-NG FL2S results of Case Study Scenario 3 for limb-nadir application
<p>Results of the fast level-2 simulator (FL2S) for Case Study Scenarios 3 (only CO and PAN files) for limb-nadir application. The files contain altitude-time cross-sections of atmospheric parameters along simulated CAIRT-orbits. The variable extensions denote the original field ('_ori'), the application of the averaging kernel ('_ak') and additional application of noise ('_aknoi') for CAIRT alone, IASI-NG alone, and the combined product CAIRT+IASI-NG. </p>
Monitoring of large-scale archaeological excavations using photogrammetric techniques - Nea Paphos case study
<p>Photogrammetric data (images) for five contexts from a single archaeological trench from the Paphos Agora Project (Excavations conducted in Nea Paphos Archaeological Site by Jagiellonian Unversity in Krakow - under the direction of Prof. Ewdoksia Papuci-Władyka). Images for photogrammetric modelling of all contexts were taken in 2015 with the NIKON D7100 camera (24 Mpx resolution), with the number of images per model varying from 25 to 41. For photogrammetric processing, the Agisoft PhotoScan and Reality Capture were used. </p><p>The data (images) were uploaded together with project files from Agisoft Metashape and RealityCapture, exported results (3D models, orthoimages and DEMs) and reference data - point clouds from terrestrial laser scanner measurements are available as supplementary material for the article in Journal of Archaeological Science: Reports. Also, data for one layer below and above, which do not include reference point clouds, have been added.</p>
Landslide rainfall-induced Inventory at Japan case study (2017-2020)
<p>This dataset is used in the article, which title is "Combination of optical images and SAR images for detecting landslide scars, using a classification and regression tree", published in the International Journal of Remote Sensing (https://doi.org/10.1080/01431161.2023.2224096).</p><p>The dataset includes historical landslide inventories conducted by the Geospatial Information Authority of Japan (GSI) and digitized itself.</p>
Data files for Sheehan et al. 2023 'City Scale Traffic Monitoring Using WorldView Satellite Imagery and Deep Learning: A Case Study of Barcelona' DOI: https://doi.org/10.3390/rs15245709
<p>Data files for Sheehan et al. (2023) City Scale Traffic Monitoring Using WorldView Satellite Imagery and Deep Learning: A Case Study of Barcelona. Remote Sensing. 15(24) DOI: <a href="https://doi.org/10.3390/rs15245709">https://doi.org/10.3390/rs15245709</a></p> <p>Description of contents: </p> <p>xView-YOLOv3_Model6_Barcelona_weights.pt</p> <p>This file contains the pre-trained weights for the xView-YOLOv3 model (model code available here: https://github.com/ultralytics/xview-yolov3). These weights were trained on a manually created training data set of vehicles present in WorldView 2/3 imagery covering the city of Barcelona. The weights relate to Model 6 set up: a single vehicle class (parked, static and moving), RGB imagery, Barcelona training data set derived anchor boxes, 1500 x 1500 pixel sized images and to 1000 epochs. </p> <p> </p>
Inputs for ECF Model for case study Vienna
<p>The datasets comprise of:</p> <ol> <li>Cooling demand density and Gross Floor area distribution from https://www.hotmaps.eu/</li> <li>Pipe Costs Estimates for district cooling networks from sEEnergies_D4.5_DH_investment_costs_and_allocation_local_ressources_final_version.pdf</li> <li>EU.11 Cooling Technologies cost data from "Pathways for energy efficient heating and cooling.” EU-Comission, Forthcoming final report, 2023 </li> </ol>
Supplementary data for: simultaneous species detection and discovery with environmental DNA metabarcoding: a freshwater mollusk case study
<p>Environmental DNA (eDNA) sampling is a powerful tool for rapidly characterizing biodiversity patterns for specious, cryptic taxa with incomplete taxonomies. One such group that are also of high conservation concern are North American freshwater gastropods. In particular, springsnails of the genus <em>Pyrgulopsis</em> (Family: Hydrobiidae) are prevalent throughout the western United States where >140 species have been described. Many of the described species are narrow endemics known from a single spring or locality and it is believed that there are likely many additional species which have yet to be described. The distribution of these species across the landscape is of interest because habitat loss and degradation, climate change, groundwater mining, and pollution have resulted in springsnail imperilment rates as high as 92%. Determining distributions with conventional sampling methods is limited by the fact that these snails are often <5 mm in length with few distinguishing morphological characters, making them both difficult to detect and to identify. In order to facilitate detection of <em>Pyrgulopsis</em> we developed an eDNA metabarcoding protocol that is both inexpensive and capable of rapid, accurate detection of all known <em>Pyrgulopsis</em> species. When compared with conventional collection techniques, our pipeline consistently resulted in detection at sites previously known to contain <em>Pyrgulopsis </em>springsnails and at a cost per site that is likely to be substantially less than the conventional sampling and individual barcoding that has been done historically. Additionally, because our method uses eDNA extracted from filtered water it is non-destructive and suitable for the detection of endangered species where "no take" restrictions may be in effect. This effort represents both a tool which is immediately applicable to a group of high conservation concern across western North America and a case study in the broader application of eDNA sampling for landscape assessments of cryptic taxa of conservation concern.</p>
Data associated with the study titled "The role of micro-environments on computed vibrationally-resolved emission spectra: The case of oxazines."
<p>This repository contains data associated with the study titled "The role of micro-environments on computed vibrationally-resolved emission spectra: The case of oxazines."</p> <p>Folder Structure:<br>========== /CV/ ==========<br>/CV-bare/: Coordinates of the ground state (GS) and excited state (ES) for CV+ dye.</p> <p>========== /DR/ ==========<br>/DR-bare/DR-most-stable/: Coordinates of the ground state (GS) and excited state (ES) for the most stable conformer of DR+ dye.</p> <p>========== /NB/ ==========<br>/NB-bare/NB-most-stable/: Coordinates of the ground state (GS) and excited state (ES) for the most stable conformer of NB+ dye.<br>/NB-bare/NB-other-conformers/: Coordinates of the ground state (GS) and excited state (ES) for other conformers responsible for over 90% of the total Boltzmann weighted population of NB+ dye.</p> <p>========== /Ox1/ ==========<br>/Ox1-bare/Ox1-most-stable/: Coordinates of the ground state (GS) and excited state (ES) for the most stable conformer of Ox1+ dye.<br>/Ox1-bare/Ox1-other-conformers/: Coordinates of the ground state (GS) and excited state (ES) for other conformers responsible for over 90% of the total Boltzmann weighted population of Ox1+ dye.</p> <p>========== /Ox4/ ==========<br>/Ox4-bare/Ox4-most-stable/: Coordinates of the ground state (GS) and excited state (ES) for the most stable conformer of Ox4+ dye.<br>/Ox4-bare/Ox4-other-conformers/: Coordinates of the ground state (GS) and excited state (ES) for other conformers responsible for over 90% of the total Boltzmann weighted population of Ox4+ dye.<br>/Ox4-bare/Ox4-PCM/: Coordinates of the ground state (GS) and excited state (ES) for the most stable conformer of Ox4+ dye in the Polarizable Continuum Model (PCM).<br>/Ox4-betaine/: Coordinates of the ground state (GS) and excited state (ES) for a betaine molecule aggregated to Ox4+ dye at different positions.<br>/Ox4-water-gasphase/: Coordinates of the ground state (GS) and excited state (ES) for a water molecule aggregated to Ox4+ dye at different positions as well as two water mocules aggregated to Ox4+ at postion 1.<br>/Ox4-water-PCM/: Coordinates of the ground state (GS) and excited state (ES) for a water molecule aggregated to Ox4+ dye at different positions in PCM.</p> <p>========== /Ox170/ ==========<br>/Ox170-bare/Ox170-most-stable/: Coordinates of the ground state (GS) and excited state (ES) for the most stable conformer of Ox170+ dye.<br>/Ox170-bare/Ox170-other-conformers/: Coordinates of the ground state (GS) and excited state (ES) for other conformers responsible for over 90% of the total Boltzmann weighted population of Ox170+ dye.<br>/Ox170-bare/Ox170-PCM/: Coordinates of the ground state (GS) and excited state (ES) for the most stable conformer of Ox170+ dye in the Polarizable Continuum Model (PCM).<br>/Ox170-betaine/: Coordinates of the ground state (GS) and excited state (ES) for a betaine molecule aggregated to Ox170+ dye at different positions.<br>/Ox170-water-gasphase/: Coordinates of the ground state (GS) and excited state (ES) for a water molecule aggregated to Ox170+ dye at different positions as well as two water mocules aggregated to Ox170+ at postion 1.<br>/Ox170-water-PCM/: Coordinates of the ground state (GS) and excited state (ES) for a water molecule aggregated to Ox170+ dye at different positions in PCM.</p> <p><br>Notes:<br>For any inquiries or clarifications, please contact the creators.</p>
Artifactual orthologs and the need for diligent data exploration in complex phylogenomic datasets: A museomic case study from the Andean flora
<p>The Andes mountains of western South America are a globally important biodiversity hotspot, yet there is a paucity of resolved phylogenies for plant clades from this region. Filling an important gap to our understanding of the World's richest flora, we present the first phylogeny of <em>Freziera</em> (Pentaphylacaceae), an Andean-centered, cloud forest radiation. Our dataset was obtained via hybrid-enriched target sequence capture of Angiosperms353 universal loci for 50 of the ca. 75 spp., obtained almost entirely from herbarium specimens. We identify high phylogenomic complexity in <em>Freziera</em>, including a significant proportion of paralogous loci and a high degree of gene tree discordance. Via gene tree filtering, by-eye observation of gene trees, and detailed examination of warnings from recently improved assembly pipelines, we identified that cryptic paralogs (i.e., the presence of only one copy of a multi-copy gene due to assembly errors) were a major source of gene tree heterogeneity that had a negative impact on phylogenetic inference and support. These cryptic paralogs likely result from limitations in data collection that are common in museomics, combined with a history of genome duplication; they may be common in plant phylogenomic datasets. After accounting for cryptic paralogs as source of gene tree error, we identified a significant, but non-specific signal of introgression using Patterson's D and f4 statistics. Despite phylogenomic complexity, we were able to resolve <em>Freziera</em> into nine well-supported subclades whose histories have been shaped by myriad evolutionary processes, including incomplete lineage sorting, historical gene flow, and gene duplication. Our results highlight the complexities of plant phylogenomics, and point to the need to test for multiple sources of gene tree discordance via careful examination of empirical datasets.</p>
Assessing the use of HL7 FHIR for implementing the FAIR guiding principles: A case study of the MIMIC-IV emergency department module
<p><strong>Objective</strong> <br>To assess the use of Health Level Seven Fast Healthcare Interoperability Resources (FHIR<sup>®</sup>) for implementing the Findable, Accessible, Interoperable, and Reusable guiding principles for scientific data (FAIR). Additionally, present a list of FAIR implementation choices for supporting future FAIR implementations that use FHIR. <br><br><strong>Material and Methods</strong> <br>A case study was conducted on the Medical Information Mart for Intensive Care-IV Emergency Department dataset (MIMIC-ED), a deidentified clinical dataset converted into FHIR. The FAIRness of this dataset was assessed using a set of common FAIR assessment indicators. <br><br><strong>Results</strong> <br>The FHIR distribution of MIMIC-ED, comprising an implementation guide and demo data, was more FAIR compared to the non-FHIR distribution. The FAIRness score increased from 60 to 82 out of 95 points, a relative improvement of 37%. The most notable improvements were observed in interoperability, with a score increase from 5 to 19 out of 19 points, and reusability, with a score increase from 8 to 14 out of 24 points. A total of 14 FAIR implementation choices were identified. <br><br><strong>Discussion</strong> <br>Our work examined how and to what extent the FHIR standard contributes to FAIR data. Challenges arose from interpreting the FAIR assessment indicators. This study stands out for providing a real-world example of a dataset that was made more FAIR using FHIR. <br><br><strong>Conclusion</strong> <br>To the best of our knowledge, this is the first study that formally assessed the conformance of a FHIR dataset to the FAIR principles. FHIR improved the accessibility, interoperability, and reusability of MIMIC-ED. Future research should focus on implementing FHIR in research data infrastructures. Keywords: FAIR Guiding Principles, HL7 FHIR, Reusable Data, MIMIC-IV</p>
Ambient noise from the atmosphere within the seismic hum period band: A case study of hurricane landfall
<p>Spectral analysis results, synthetic Green's functions, and seismic modeling results of this study.</p> <p>This work can be found at GitHub: <a href="https://github.com/NickJi98/Atm_Noise_2024_EPSL.git">https://github.com/NickJi98/Atm_Noise_2024_EPSL.git</a></p>
Managing competition between legacy television services and video streaming platforms in Hungary in the early 2020s – A case study [Secondary documentary sources]
<p>Secondary documentary sources used in the paper entitled "Managing competition between legacy television services and video streaming platforms in Hungary in the early 2020s – A case study"</p>
VEBA 2.0 Case Studies
<p>Contains genomes, genome/protein clusters, taxonomic classifications, protein annotations, module completion ratios, biosynthetic potential (and CRISPR-Cas systems for case study 2), phylogenetic trees, and all data used for case studies.</p> <p>* CaseStudy_1-MarineEukaryotes.tar.gz (72MB)<br>* CaseStudy_2-SiberianPermafrost.tar.gz (106MB)<br>* CaseStudy_3-WhiteTailedDeer.tar.gz (4.8MB)</p>
Assessing Heavy Metal Contamination in Agricultural Soils: A Predictive Model Integrating GIS Tools and Probability-Risk Matrix – Case Study: Guarda Region, Portugal
<p>In these files we can find the final risk map of heavy metal contamination for the guarding area in Portugal obtained according to the methodology explained in the paper "Assessing Heavy Metal Contamination in Agricultural Soils: A Predictive Model Instegrating GIS Tools and Probability-Risk Matrix - Case Study: Guarda Region (Portugal)</p> <p>Final Risk Equal.tiff: GeoTiff with a pixel size of 30m. EPSG:3763 - ETRS89 / Portugal TM06</p> <p>Also attached is the symbolisation for the image in .qml (Quantum GIS Layer Style File) format.</p> <p>A file called RISK RECLASS is also available, where you can find the risk classification maps for each of the studied factors: </p> <ul> <li>Proximity to roads</li> <li>Proximity to industrial areas</li> <li>Ph</li> <li>Soil organic content</li> <li>Slope</li> <li>Soil texture</li> <li>Mining extraction areas </li> <li>Drainage</li> </ul> <p>finally a DATABASE file where the data of the 360 points for the calculation of the risk maps can be found. </p>
Alien plant species are precursors for invasion: a case study of Alternanthera brasiliana (L.) Kuntze in Ile-Ife (Nigeria)
<p>The impact of <em>Alternanthera brasiliana</em> on vegetation and soil seed bank was assessed in Ile-Ife, Nigeria. Ten sample plots, 10 m x 10 m each, were established in invaded plant communities with high density of <em>Alternanthera brasiliana</em> and adjacent uninvaded plant communities where the weed species has low density. In each sample plot, twenty 1 m x 1 m quadrats were randomly laid and all rooted plant species were identified and counted. Post-dispersal soil seed bank was collected by randomly taking five core samples of top soil per sample plot to estimate the soil seed bank density and floristics of the sites. The species composition of soil seed bank was compared with that of the above-ground vegetation so as to assess the invader's impact on the vegetation using Sorensen's index of similarity. The results showed that <em>Alternanthera brasiliana</em> invasion significantly impacted on the species diversity (<em>t</em> = 5.27; <em>df</em> = 18; <em>p</em> = 0.0003) and evenness of species distribution (<em>t</em> = 4.50; <em>df</em> = 18; <em>p</em> = 0.00005) in the aboveground vegetation, and the species diversity (<em>t</em> = 5.37; <em>df</em> = 18; <em>p</em> = 0.00004) and evenness of species distribution (<em>t</em> = 6.19; <em>df</em> = 18; <em>p</em> < 0.0001) in the soil seed bank. This study concluded that <em>Alternanthera brasiliana</em> has significantly caused alterations in key parameters of the aboveground vegetation and those of the soil seed bank. It is likely that with increasing resident time, these alterations might increase more significantly to enhance the spread of <em>Alternanthera brasiliana</em>.</p>
Figure 7 in Animal diversity in the mangrove forest at Bichitrapur of Balasore district, Odisha, India- A case study
Figure 7. Onchidium typhae on the wooden hole of mangrove.
ScienceDex guides
Understand access before you commit
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.