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30 results for “connectedness”
Resources for "BMF CP 87: Coastal activities enabling close connections with nature, nature connectedness, and health outcomes"
<p>The current study is conducted to examine the following research questions:</p> <ul> <li>How is the relationship between general coastal activities enabling close connections and mental health in the previous year conditional on the nature connectedness?</li> <li>How is the relationship between general coastal activities enabling close connections and perceived general health in the previous year conditional on the nature connectedness?</li> </ul>
Resources for "BMF CP 85: Childhood residential proximity to the coast, nature connectedness, and peace of mind"
<p><span>The current study is conducted to examine the following research questions:</span></p> <ul> <li><span>How are the residential proximity to the coast during childhood and nature connectedness associated with peace of mind when visiting the coast?</span></li> <li><span>Does the residential proximity to the coast during childhood moderate the relationship between nature connectedness and peace of mind when visiting the coast?</span></li> <li><span>How is the peace of mind associated with improved thinking when visiting the coast?</span></li> </ul>
Engage Psychotherapy to Promote Connectedness in Caregivers
ClinicalTrials.gov study NCT04176601. IPD Sharing: YES. Countries: 1. Publications: 1.
Hydrological drought connectedness - Dataset
<p>The dataset contains the input and output information necessary to reproduce and interpret the results from the study <em>"Spatially Compounding Drought Events in Brazil", </em> published in the Water Resources Research Journal - Gesualdo et al., (2024a). </p> <p> </p> <p><strong>Input Data for Hydrological Drought Extraction Code (Gesualdo et al, 2024b)</strong></p> <ul> <li><strong>database_mm</strong>: This contains a CSV file for each catchment with streamflow information in mm per day.</li> <li><strong>CABra_attributes.csv:</strong> This file includes the main catchment attribute classes.</li> </ul> <p>The input data was obtained from the Catchments Attributes for Brazil (CABra) dataset (Almagro et al., 2023). For more details, please visit: CABra dataset on Zenodo. The output of this function is <em>Q15_30MW</em> folder, which contains drought identification information for each catchment in a separate CSV file.</p> <p> </p> <p><strong>Input Data for Hydrological Drought Connectedness Code (Gesualdo et al, 2024b)</strong></p> <ul> <li><strong>All_info.csv: </strong>This is a compiled file containing information on all drought events analyzed in the study.</li> </ul> <p>The output data includes:</p> <ul> <li> <ul> <li><strong>connectivity_ids_data.csv:</strong> This file contains the dates when two catchments experienced a common drought event.</li> <li><strong>connectivity_ids.csv: </strong>This file contains the number of connected drought events between catchments.</li> </ul> </li> </ul> <p> </p> <p><strong>Input Data to reproduce the figures</strong></p> <table> <tbody> <tr> <td><strong>Figure</strong></td> <td><strong>Inputs</strong></td> </tr> <tr> <td>Heatmap of Spearman's correlation</td> <td>All_attributes_drought.csv</td> </tr> <tr> <td>Spatial distribution of drought characteristics</td> <td> <div> <div>All_attributes_drought.csv; SNIRH_RegioesHidrograficas_2020.shp</div> </div> </td> </tr> <tr> <td>Drought co-occurrence network </td> <td>Connectivity_degree.csv; Connectivity_ids.csv; All_attributes_drought.csv; SNIRH_RegioesHidrograficas_2020.shp</td> </tr> <tr> <td>Drought similarity clusters</td> <td>Cluster_HydrologicalDrought.csv; SNIRH_RegioesHidrograficas_2020.shp</td> </tr> <tr> <td>Catchment attribute variability</td> <td>Cluster_HydrologicalDrought; All_attributes_drought.csv</td> </tr> </tbody> </table> <p> </p> <p><strong>References</strong><br>Almagro, A., Oliveira, P. T. S., Meira Neto, A. A., Roy, T., & Troch, P. (2023). CABra: a novel large-sample dataset for Brazilian catchments (Version 5) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.7612350</p> <p>Gesualdo, G. C., Benso, M. R., Mendiondo, E. M., & Brunner, M. I. (2024a). Spatially compounding drought events in Brazil. <em>Water Resources Research</em>, 60, e2023WR036629. <a href="https://doi.org/10.1029/2023WR036629">https://doi.org/10.1029/2023WR036629</a><br><br>Gesualdo, G., Benso, M. R., Kobayashi, A., & Pereira Zamboni, P. A. (2024b). gabichiquito/Hydrological-drought-connectedness: v1.0. Zenodo. <a href="https://doi.org/10.5281/zenodo.14036013" target="_blank" rel="noopener">https://doi.org/10.5281/zenodo.14036013</a></p> <p><br><em>These updates ensure clarity and ease of use, making the dataset and code accessible and reproducible for all users.</em></p>
Adders are Amazing project evaluation of attitudes and connectedness to nature
<ol> <li>Adder <em>(Vipera</em> <em>berus</em>) populations are experiencing declines in many countries, including the UK. Perceptions of adders and other venomous snakes are generally negative, making conservation of these species a challenge, and persecution remains within the top five perceived causes for adder declines in the UK. Improved understanding and attitudes are needed to support current conservation efforts. However, ensuring these positive attitudes continue into the future relies on addressing children's loss of connection to nature, and intervention at this early attitude-formation stage can be crucial for traditionally 'unpopular' species, such as snakes.</li> <li>An adder-focussed public-engagement project, Adders are Amazing!, was carried out in Pembrokeshire, UK, in 2018–19 to improve understanding and attitudes towards adders using a blended science-creative arts approach. The project included half-day primary school-based workshops to inform 111 pupils aged 8 to 11 about adder ecology, alongside creative art experiences. Questionnaires were used to measure the children's attitudes towards adders and their nature connectedness both before and after the workshops and these were compared with equivalent questionnaires carried out at a control school (57 pupils) where no workshops were conducted. </li> <li>The project demonstrated that engagement that blends both art and science can significantly change attitudes towards adders without any direct contact with the animals themselves; specifically, participants' scores for 'Wonder', 'Learning Interest' and 'Conservation Concern' increased. The workshops also significantly increased measures of the children's general connectedness to nature (specifically, 'Enjoyment of Nature' and 'Responsibility for Nature').</li> <li>We recommend conservation bodies focus on, and not shy away from, so-called 'unpopular' species, to promote understanding and acceptance of these species and support their conservation. Blended arts-science initiatives, which can be easily adapted to suit a wide range of species and the artistic practices of local communities, are an effective way to achieve this.</li> </ol>
UNderstanding CONSciousness Connectedness and Intraoperative Unresponsiveness Study
ClinicalTrials.gov study NCT03284307. IPD Sharing: Not stated. Countries: 1. Publications: 4.
Adders are Amazing project evaluation of attitudes and connectedness to nature
Open the record for dataset details and reuse information.
Contrasting effects of host tree isolation on population connectedness in two tropical epiphytic bromeliads
<p><b>Premise of the study</b></p> <p>Conversion of primary forests to pastures is a major cause of habitat fragmentation in the tropics. Fragmentation is expected to impede gene flow for many plant species that are restricted to remaining forest fragments. Epiphytes may be especially vulnerable to this effect of forest fragmentation because they depend on host trees. However, trees that remain in pastures may enhance connectivity across the landscape for epiphyte species that can thrive on such trees. To investigate this possibility, we studied the genetic structures of two such species on isolated pasture trees and surrounding forest, in relation to their local abundances in different habitat types and aspects of their reproductive biology including pollen and seed dispersal agents, and looked for evidence of increased or diminished gene flow.</p> <p><b>Methods</b></p> <p>We used microsatellite markers to assess geographic patterns of genetic diversity and differentiation in two epiphytic bromeliads, <i>Catopsis nitida</i> and <i>Werauhia tonduziana,</i> in the Monteverde region of Costa Rica.</p> <p><b>Key results</b></p> <p>About 85%<sup> </sup>of the <i>F</i><sub>ST</sub> value for <i>Catopsis nitida</i> was found among pastures within regions, while for <i>Weruahia tonduziana,</i> about 80% of the <i>F</i><sub>ST </sub>value was contributed by differences between regions, indicating much more gene flow within regions, relative to <i>C. nitida</i>.</p> <p><b>Conclusions</b></p> <p>Although there was substantial genetic differentiation among epiphyte populations, those on isolated pasture trees were not substantially less diverse than those in adjacent forests, suggesting that pasture trees may serve as "stepping stones" that help these species maintain their genetic connectedness and diversity at larger geographic scales.</p>
Spatial connectedness imposes local- and metapopulation-level selection on life history through feedbacks on demography
<p>Dispersal evolution impacts the fluxes of individuals and hence, connectivity in metapopulations. Connectivity is therefore decoupled from the structural connectedness of the patches within the spatial network. Because of demographic feedbacks, local selection also drives the evolution of other life history traits.</p> <p>We investigated how different levels of connectedness affect trait evolution in experimental metapopulations of the two-spotted spider mite<i>. </i>We separated local- and metapopulation-level selection and linked trait divergence to population dynamics.</p>
Nest shape influences colony organization in ants: spatial distribution and connectedness of colony members differs from that predicted by random movement and is affected by nest space
<p><strong>Overview</strong></p> <p>Data used for the manuscript: Nest shape influences colony organization in ants: spatial distribution and connectedness of colony members differs from that predicted by random movement and is affected by available space</p> <p><strong>Purpose of the study</strong></p> <p>Investigating how nest shape influences how <em>Temnothorax rugatulus</em> colonies spatially organize in their nests. This includes physical location of colony members and their distances from the entrance, mobile colony member distance to the brood center, worker distance to the physical center of the nest, and comparing worker distributions with those predicted by a random walk model.</p> <p><strong>Structure of the data</strong></p> <p>EMPIRICAL DATA</p> <p>WORKERS: FullDataCoordWorkers.csv, FullDataCoordWorkersRD2.csv</p> <p>Raw experimental data with worker x and y position in nests</p> <ul> <li>Colony: Unique experimental colony identifiers</li> <li>Nest: The nest shape treatment (Tube / Circle)</li> <li>Day: The experimental day that the observation was collected on</li> <li>ScaledX: X-axis coordinate, scaled from original (px) to (cm) in the software Fiji (Schindelin et al., 2012)</li> <li>ScaledY: Y-axis coordinate, scaled from original (px) to (cm) in the software Fiji</li> <li>ColorID: The unique color marking assigned to an individual worker's head, thorax, abdomen1, abdomen2 (i.e., Yellow, White, Green, Green = Y,W,G,G)</li> <li>Density: The density treatment (High / Low)</li> </ul> <p>BROOD / QUEENS: FullDataCoordBrood.csv, FullDataCoordBroodRD2.csv; FullDataCoordQueen.csv, FullDataCoordQueenRD2.csv</p> <p>Raw experimental data with brood (OR) queen x and y position in nests</p> <ul> <li>Colony: Unique experimental colony identifiers</li> <li>Nest: The nest shape treatment (Tube / Circle)</li> <li>Day: The experimental day that the observation was collected on</li> <li>ScaledX: X-axis coordinate, scaled from original (px) to (cm) in the software Fiji (Schindelin et al., 2012)</li> <li>ScaledY: Y-axis coordinate, scaled from original (px) to (cm) in the software Fiji</li> <li>Density: The density treatment (High / Low)</li> </ul> <p>ALATES: FullDataCoordAlate.csv</p> <p>Raw experimental data with alate (winged reproductive individuals) x and y position in nests</p> <ul> <li>Colony: Unique experimental colony identifiers</li> <li>Nest: The nest shape treatment (Tube / Circle)</li> <li>Day: The experimental day that the observation was collected on</li> <li>ScaledX: X-axis coordinate, scaled from original (px) to (cm) in the software Fiji (Schindelin et al., 2012)</li> <li>ScaledY: Y-axis coordinate, scaled from original (px) to (cm) in the software Fiji</li> <li>SexID: The unique sex assignment and number given to an individual alate: Sex, SexNumber, TotalNumber (i.e., the first male alate observation that came after three queen alates making it the fourth total observation = M,1,4)</li> </ul> <p>NETLOGO SIMULATIONS: ArchitectureMoveModelFull.csv</p> <p>Raw netlogo simulation data with agent x and y positions in nests</p> <ul> <li>RunNumber: The simulation number - 1 to 4000 - there are 1000 simulations for each combination of nest shape and size</li> <li>NestSize: The size of the nest area that agents were allowed to move throughout (Small / Large)</li> <li>Nest: The nest shape treatment (Tube / Circle)</li> <li>TimeStep: The duration of each simulation (should be 50000)</li> <li>xcor: a list of every agent x coordinate position at the end of the simulation</li> <li>ycor: a list of every agent y coordinate position at the end of the simulation</li> </ul> <p>REFERENCE DATA </p> <p>NEST BINS: Empirical</p> <p>BinsNullFull.csv</p> <p>Null data sheet with eight bins for tube and circle nests in every colony</p> <ul> <li>Colony: Unique experimental colony identifiers</li> <li>Nest: The nest shape treatment (Tube / Circle)</li> <li>Bin: Nest section identifier (1-8)</li> </ul> <p>BinCoordFull.csv</p> <p>Reference binning coordinates to group empirical coordinates into nest sections</p> <ul> <li>Colony: Unique experimental colony identifiers</li> <li>Nest: The nest shape treatment (Tube / Circle)</li> <li>CoordID: The unique coordinate identifier within each colony and nest combination</li> <li>ScaledX: X-axis coordinate, scaled from original (px) to (cm) in the software Fiji (Schindelin et al., 2012)</li> <li>ScaledY: Y-axis coordinate, scaled from original (px) to (cm) in the software Fiji</li> </ul> <p>NEST BINS: Netlogo Simulations</p> <p>BinsNullNetlogo.csv</p> <p>Null data sheet with eight bins for tube and circle nests in each simulation treatment</p> <ul> <li>Nest: The nest shape treatment (Tube / Circle)</li> <li>NestSize: The size treatment for simulations (Small / Large)</li> <li>Bin: Nest section identifier (1-8)</li> </ul> <p>BinCoordNetlogo.csv</p> <p>Reference binning coordinates to group Netlogo simulation coordinates into nest sections</p> <ul> <li>Nest: The nest shape treatment (Tube / Circle)</li> <li>NestSize: The size treatment for simulations (Small / Large)</li> <li>ScaledX: X-axis coordinate</li> <li>ScaledY: Y-axis coordinate</li> <li>CoordID: The unique coordinate identifier within each colony and nest combination</li> </ul> <p>CORNERS: Empirical</p> <p>CornerFull.csv</p> <p>Whether a nest section has a corner or not</p> <ul> <li>Colony: Unique experimental colony identifiers</li> <li>Nest: The nest shape treatment (Tube / Circle)</li> <li>Bin: Nest section identifier (1-8)</li> <li>Corner: Presence of a corner (Y / N)</li> </ul> <p>CORNERS: Empirical</p> <p>CornerFullSim.csv</p> <ul> <li>Nest: The nest shape treatment (Tube / Circle)</li> <li>Bin: Nest section identifier (1-8)</li> <li>Corner: Presence of a corner (Y / N)</li> </ul> <p>REFERENCE DATA </p> <p>DISTANCES IN THE NEST: Empirical</p> <p>DistBinsFull.csv</p> <p>Reference coordinates for the entrance of nest sections (Bin) front-to-back and shortest distance to the entrance from each nest section entrance</p> <ul> <li>Colony: Unique experimental colony identifiers</li> <li>Nest: The nest shape treatment (Tube / Circle)</li> <li>Distance: Reference shortest distance from a nest section to the entrance</li> <li>Bin: Nest section identifier (1-8)</li> <li>BinX: X-axis reference coodinate for a nest section entrance</li> <li>BinY: Y-axis reference coodinate for a nest section entrance</li> <li>Xmax: Max X-axis coordinate possible within the nest</li> <li>Ymax: Max Y-axis coordinate possible within the nest</li> <li>MaxDist: Max possible shortest distance from the nest entrance</li> <li>TubeRatio: Ratio of shortest distance to the nest entrance in circle nest / tube nest</li> </ul> <p>DISTANCES IN THE NEST: Netlogo Simulations</p> <p>DistBinsFullNetlogo.csv</p> <p>Reference coordinates for the entrance of nest sections (Bin) front-to-back and shortest distance to the entrance from each nest section entrance</p> <ul> <li>NestSize: The size treatment for simulations (Small / Large)</li> <li>Nest: The nest shape treatment (Tube / Circle)</li> <li>Distance: Reference shortest distance from a nest section to the entrance</li> <li>Bin: Nest section identifier (1-8)</li> <li>BinX: X-axis reference coodinate for a nest section entrance</li> <li>BinY: Y-axis reference coodinate for a nest section entrance</li> <li>Xmax: Max X-axis coordinate possible within the nest</li> <li>Ymax: Max Y-axis coordinate possible within the nest</li> <li>MaxDist: Max possible shortest distance from the nest entrance</li> <li>TubeRatio: Ratio of shortest distance to the nest entrance in circle nest / tube nest</li> </ul> <p>REFERENCE DATA </p> <p>WORKER SITE FIDELITY (SPATIAL FIDELITY & OCCURRENCE ZONE SIZES), ALSO RELATING SIZES TO DISTANCES IN THE NEST</p> <p>ColorRefFull.csv</p> <p>Reference of all possible unique color identifiers paint marked workers</p> <ul> <li>Colony: Unique experimental colony identifiers</li> <li>Head: Head color mark</li> <li>Thorax: Thorax color mark</li> <li>Abd1: Left side abdomen mark</li> <li>Abd2: Right side abdomen mark</li> </ul> <p>NestAreaFull.csv</p> <p>Reference for colony size (number of workers in the colony) and nest area</p> <ul> <li>Colony: Unique experimental colony identifiers</li> <li>Number.ants: Number of workers in the colony after painting</li> <li>Diameter: The diameter of the circle nest</li> <li>Area: The area of the nest</li> </ul> <p>ScalingCircleSFZ.csv</p> <p>Reference to scale the radius of circle nests to make coordinates representing fidelity zone bins</p> <ul> <li>Colony: Unique experimental colony identifiers</li> <li>Scaling: The scaling factor that is applied to the radius of each circle nest</li> </ul>
Human-nature connectedness in France and Colombia (Raw data)
<p>Data for the paper : <a><strong><span>Human-nature connectedness and sustainability across lifetimes: </span></strong></a><span><strong><span>a comparative cross-sectional study in France and Colombia published in People and Nature</span></strong></span><span><span></span></span></p> <div> </div>
Data for: Connectedness and spillover effect between cryptocurrency and financial assets
<p><span>Cryptocurrencies have quickly become one type of important financial asset. Accordingly, it is important to understand the interaction between cryptocurrency and other financial asset markets. However, previous literature paid less attention to the correlation between the price trend of cryptocurrencies and other financial assets. Using the vector autoregression model, we analyzed price correlation and spillover effect between cryptocurrencies and financial assets between November 2017 and February 2022. The study concludes that stock price has a spillover effect on cryptocurrencies, government bonds, and precious metals. The research results are useful while allocating portfolios or hedge strategies that include cryptocurrencies and financial assets such as stocks, government bonds, and precious metals.</span></p>
Social Connectedness Group Intervention in Depression
ClinicalTrials.gov study NCT03446963. IPD Sharing: Not stated. Countries: 1. Publications: 5.
Efficacy of a Brief Online Mindfulness and Self-Compassion Intervention (Mind-OP+) to Increase Connectedness
ClinicalTrials.gov study NCT05871554. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Contrasting effects of host tree isolation on population connectedness in two tropical epiphytic bromeliads
Open the record for dataset details and reuse information.
Spatial connectedness imposes local- and metapopulation-level selection on life history through feedbacks on demography
Open the record for dataset details and reuse information.
Data for: Connectedness and spillover effect between cryptocurrency and financial assets
Open the record for dataset details and reuse information.
Supplementary material 2 from: Stocco A, Tabacchi C, Barbiero G, Pranovi F (2023) The influence of naturalness of the landscape structure on children's connectedness to Nature in north-eastern Italy. One Ecosystem 8: e111973. https://doi.org/10.3897/oneeco.8.e111973
Annex II - English version of the Questionnaire
Supplementary material 1 from: Stocco A, Tabacchi C, Barbiero G, Pranovi F (2023) The influence of naturalness of the landscape structure on children's connectedness to Nature in north-eastern Italy. One Ecosystem 8: e111973. https://doi.org/10.3897/oneeco.8.e111973
Annex I - Italian version of the Questionnaire
Exploring integrated ArtScience experiences to foster nature connectedness through head, heart, and hand
<p>1. Human activities continue to inflict profound detrimental impacts on biodiversity, yet we have not observed a commensurate shift in people's mindsets to achieve a more harmonious relationship between people and nature. As such, the need to shift the publics' perspective and awareness of their interconnectedness with nature continues to drive education and communication programs that aim to deepen the connection between people and nature. </p> <p>2. This has led to mounting interest in integrating art with science as an influential communication practice to tackle complex concepts such as climate change and biodiversity loss. Art can provide alternative pathways of knowing and understanding the ecological crisis through provoking embodied, mindful, and emotional responses. The arts create a dais for personal expression and reflection that traditional education and outreach methods typically cannot.</p> <p>3. Here, we explore an arts-based approach to science communication and nature connectedness through a series of participatory ArtScience workshops. These workshops were delivered at The Living Pavilion, an Indigenous-led, temporary event space that took place in Melbourne, Australia. An integrated and transdisciplinary approach using interactive and participatory ArtScience workshops underpins the key outcomes and findings of this research.</p> <p>4. Our analysis revealed three themes emerging from the participants' experience: discovery, where participants learn or discover something new about biodiversity which is a thrilling and motivating experience; being in a state of flow where participants are intrinsically motivated, focussed and find joy in the activity; and attunement, where participants experience ecological awareness, relational knowing and a mindful connection to nature.</p> <p>5. Integrating the head, heart, and hands learning framework into the ArtScience workshops allowed a more nuanced and ground-up approach to our research and helped further understanding of how people create connections to more than human nature. The interrelated themes of discovery, flow and attunement open the potential for new ways of noticing and knowing nature, creating an embodied and holistic relationship with the more than human world. We suggest this is a strong foundation to deepen ecological awareness, which may lead to subtle yet positive changes in attitudes and behaviours towards biodiversity at a local level.</p>
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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.