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185 results for “Changing environments”
Dataset: Recruitment of pioneer trees with physically dormant seeds under climate change conditions: the case of Vachellia pennatula (Fabaceae) in semiarid environments of Mexico
<p>This repository contains the files associated with the following article:</p> <p>Sandoval-Martínez J, JA Flores-Cano and EI Badano. Recruitment of pioneer trees with physically dormant seeds under climate change conditions: the case of <em>Vachellia pennatula</em> (Fabaceae) in semiarid environments of Mexico. <em>Journal of Plant Research</em>, 135, pp. 453-463. <a href="https://doi.org/10.1007/s10265-022-01383-y">https://doi.org/10.1007/s10265-022-01383-y</a></p> <p>The first Microsoft Excel file contains six sheets with the microclimatic data (photosynthetic photon flux density, air temperature, relative humidity, soil temperature, rainfall and soil moisture) measured at controls under the current climate and climate change simulation plots located at each experimental site (Rio Bagres and Cañada Grande). The second Microsoft Excel file contains a single sheet with the data used to estimate the seedling emergence and survival rates from scarified and unscarified seeds of <em>Vachellia pennatula</em> in controls and climate change simulation plots at each experimental site (Rio Bagres and Cañada Grande).</p>
Exploring changes in ecosystem service values in strongly human-impacted, contrasting agro-ecological environments
<p>Evaluating the impacts of land-use/land-cover (LULC) changes on ecosystem service values (ESVs) is essential for sustainable use and management of ecosystems. In this study, we evaluated the impact of LULC changes on ESVs over the period 1982–2016/17 in contrasting, strongly human-impacted agro-ecological environments: Guder (highland), Aba Gerima (midland), and Debatie (lowland) watersheds of the Upper Blue Nile basin, Ethiopia. During the study period, the continuous expansion of cultivated land at the expense of natural vegetation (bushland, forest, and grazing land) severely reduced the total ESV by about US$58 thousand (35%) in Aba Gerima and US$31 thousand (29%) in Debatie watersheds. In contrast, the unprecedented expansion of plantations, mainly through the planting of Acacia decurrens, helped the total ESV rebound by about US$71 thousand (54%) in Guder watershed after 2006, after it had decreased by about US$61 thousand (32%) between 1982 and 2006. The reduction in natural forest area was the major contributor to the loss of total ESV in the study watersheds, ranging from a reduction of US$31 thousand (63%) in Debatie to US$96.9 thousand (70%) in Guder between 1982 and 2016/17. On an area-specific basis, LULC changes reduced the average ESV from US$560 ha–1 yr–1 (1982) in Guder to US$306 ha–1 yr–1 (2017) in Debatie watersheds. Specific ESVs such as provisioning (mainly as food production) and regulating services (mainly as erosion control and climate regulation) accounted for most of the total ESVs estimated for the study watersheds. In most cases the total and specific ESVs of the watersheds were negatively associated with the population growth, which in turn was positively associated with the expansion of cultivated land over the study period. In Guder watershed, however, ESVs were positively associated with population growth, especially after 2012. This resulted primarily from the conversion of cultivated land to plantations (predominantly with nitrogen-fixing Acacia decurrens trees) because of the farmers' growing desire to rehabilitate degraded cultivated land while simultaneously generating income through the sale of charcoal from this fast-growing tree. Our results suggest, therefore, that future policy measures and directions should focus on improving vegetation cover through planting multipurpose trees such as Acacia decurrens to prevent future loss of ESV in the midland and lowland regions of the Upper Blue Nile basin and beyond.</p>
Handling Dynamic Environment Changes for Behavior-Based User Authentication
<p><strong>Description:</strong></p> <p>This environment-independent user authentication dataset is from our MASS 2020 paper<strong>: <em>Towards Environment-independent Behavior-based User Authentication Using WiFi</em></strong>. This dataset contains the physiological characteristics captured by WiFi from 10 participants for 10 different activities. Each participant performs 20 rounds for each activity. The experiments are conducted in two different environments, the campus office, and the home apartment. The system performance is tested on the cross-environment scenarios (training in one environment and testing in another environment).</p> <p>Note: The MASS 2020 paper is based on our MobiHoc 2017 paper, <strong><em>Smart User Authentication through Actuation of Daily Activities Leveraging WiFi-enabled IoT</em></strong>. The MobiHoc 2017 work focused on user authentication using CSI extracted from human activity while the MASS 2020 work focused on the domain adaptation of user authentication using activity CSI.</p> <p>The dataset of our MobiHoc 2017 work is also published: <a href="https://zenodo.org/record/7750976#.ZBfTZ3bMKUk">https://zenodo.org/record/7750976#.ZBfTZ3bMKUk</a></p> <p> </p> <p><strong>Format: </strong>.dat format</p> <p><strong>Section 1: Device Configuration</strong></p> <ul> <li>Two commercial laptops, Dell E6430, as transmitter and receiver. Run with a Linux 14.04 operating system with 4.2.0 kernel. Equipped with 3 MINI PCI-E internal antennas. </li> <li>Intel 5300 network interface card (NIC) for CSI collection. The detail information regarding the CSI tool can be found at <a href="https://dhalperi.github.io/linux-80211n-csitool/faq.html">https://dhalperi.github.io/linux-80211n-csitool/faq.html</a>.</li> <li>WiFi packet transmission is set to 1000 pkts/s</li> </ul> <p><strong>Section 2: Data Format</strong></p> <p>We provide raw data received by the CSI tool. The data files are saved in the dat format. The details are shown in the following:</p> <ol> <li>10 participants are included in two different experiments.</li> <li>Each participant performed 20 rounds for each activity.</li> <li>The dataset file name is presented as "User_Day_Action_Location". The detailed information as: <ul> <li>User: The participants that CSI was collected from.</li> <li>Day: The date this data was collected. </li> <li>Action: The specific activity performed.</li> <li>Location: The specific location the experiment was conducted.</li> </ul> </li> </ol> <p><strong>Section 3: Experimental Setups</strong></p> <p>There are two experiment setups for our data collection. An image of the experimental setup and the illustration of activities from two different environments is included in the dataset. Each activity was performed in a designated location. In each activity location, the specific activity was conducted in 4 different proximate locations at least one foot away from each other. </p> <ol> <li>Residential Apartment <ul> <li>Environment: The experiments are conducted in a residential apartment with a size 33ft × 17ft.</li> <li>Participant: 10 users are students from Rutgers University (aged from 20 to 30).</li> <li>Activity: 7 activities were performed. <table> <caption>Detailed Activities Performed in Apartment</caption> <tbody> <tr> <td><strong>Code</strong></td> <td><strong>Activity</strong></td> </tr> <tr> <td> A→B</td> <td>Walking (trajectory 1)</td> </tr> <tr> <td> B→C</td> <td>Walking (trajectory 2)</td> </tr> <tr> <td> B</td> <td>Picking up a remote control</td> </tr> <tr> <td> C</td> <td>Sitting in a chair </td> </tr> <tr> <td> D</td> <td>Exercising</td> </tr> <tr> <td> E</td> <td>Operating on the oven</td> </tr> <tr> <td> F</td> <td>Using the stove</td> </tr> </tbody> </table> <p> </p> </li> </ul> </li> <li>Office <ul> <li>Environment: The experiments are conducted in an office with a size 21ft × 12ft.</li> <li>Participant: 5 users are students from Rutgers University (aged from 20 to 30).</li> <li>Activity: 3 activities were performed. <table> <caption>Detailed Activities Performed in Office</caption> <tbody> <tr> <td><strong>Code</strong></td> <td><strong>Activity</strong></td> </tr> <tr> <td> G</td> <td>Sitting in a seat</td> </tr> <tr> <td> H</td> <td>Stretching the body</td> </tr> <tr> <td> I</td> <td>Typing on a keyboard</td> </tr> </tbody> </table> </li> </ul> </li> </ol> <p> </p> <p><strong>Section 4: Data Description</strong></p> <p>We separate our raw data into different folders based on different environment types. In each environment type, data are further distributed in terms of date. Each file includes all data from three internal antennas. All data files are in .dat format. We also provide Matlab scripts for CSI analysis and visualization. The following variables can be revealed from the codes:</p> <ol> <li>CSI: This is the Channel State Information (CSI) received from one receiver antenna. It describes the signal propagation from the transmitter to the receiver, and it is very sensitive to the impact of environmental changes. Each data reveals CSI from 30 subcarriers. </li> <li>Relative Phase: Relative Phase is a measurement to describe the degree of synchronization between data received from different antennas. It can be used to determine the phase offset for further signal preprocessing.</li> <li>Time: This is the time interval in which the data file contains. It measures time by the number of seconds. It can be used to determine how long the signal has been received.</li> </ol> <p><strong>Section 5: Codes</strong></p> <ul> <li>analysis_spectrogram.m: load a .dat file and extract all data by Data description(I.e, CSI, and Relative Phase).</li> </ul> <p><strong>Section 6: Citations</strong></p> <p>If your paper is related to our works, please cite our papers as follows.</p> <p><a href="https://ieeexplore.ieee.org/document/9356038">https://ieeexplore.ieee.org/document/9356038</a></p> <p>C. Shi, J. Liu, N. Borodinov, B. Leao and Y. Chen, "Towards Environment-independent Behavior-based User Authentication Using WiFi," <em>2020 IEEE 17th International Conference on Mobile Ad Hoc and Sensor Systems (MASS)</em>, Delhi, India, 2020, pp. 666-674, doi: 10.1109/MASS50613.2020.00086</p> <p><strong>Bibtex:</strong></p> <p>@INPROCEEDINGS{9356038,<br> author={Shi, Cong and Liu, Jian and Borodinov, Nick and Leao, Bruno and Chen, Yingying},<br> booktitle={2020 IEEE 17th International Conference on Mobile Ad Hoc and Sensor Systems (MASS)}, <br> title={Towards Environment-independent Behavior-based User Authentication Using WiFi}, <br> year={2020},<br> volume={},<br> number={},<br> pages={666-674},<br> doi={10.1109/MASS50613.2020.00086}}<br> </p> <p>The current version of the dataset is shrunk due to its size. If you wish to acquire the full version or you have any questions regarding the dataset, contact us by email: cl1361@scarletmail.rutgers.edu. </p>
Does competitive asymmetry confer polyploid advantage under changing environments?
<p>Competitive interactions drive critical ecological processes in plant communities. Yet how competitive interactions are influenced by polyploidy which has a widespread incidence in plants remains largely unknown.</p> <p>To evaluate the hypothesis of competitive asymmetry between polyploids and diploids, we set up competing tetraploid and diploid plants of perennial herbaceous <em>Chrysanthemum indicum</em> L. (Asteraceae) at different relative frequencies under contrasting soil water contents. We quantified the interaction intensity between competing plants of the same (intraploidy) and different (interploidy) ploidy levels, and measured functional traits related to gas exchange and plant water use to understand the underlying mechanisms.</p> <p>The stronger competitive effect of tetraploids on diploids than that of diploids on tetraploids provided evidence for the competitive asymmetry. As a stronger competitor, tetraploids were limited more by individuals of their own than by diploids. Such competitive asymmetry was not only maintained under reduced soil water content, but also translated into higher aboveground biomass of tetraploids. Tetraploids showed more resource-acquisitive traits than diploids under high soil water content and more resource-conservative traits under reduced soil water content. As such, the higher trait plasticity in tetraploids than diploids likely explained the competitive asymmetry.</p> <p><em>Synthesis</em>. These results elucidate the nature and magnitude of species interactions between polyploid and diploid plants under changing environments and the underlying mechanisms, and provide important insights into the prevalence and persistence of polyploid plants under a changing climate.</p>
Variation in oxidative status, but not structural and physiological development, associated with changing ontogenetic environments
<p><span>Despite the potential for temporally-dependent relationships between trait values and fitness (e.g., as juveniles approach life-stage transitions such as fledging), how developmental stage affects canalization (a measure of robustness to environmental variation) of morphological and physiological traits is rarely considered. To test the sensitivity of morphological and physiological traits to environmental variation in two developmental stages, we manipulated brood size at hatch in European starlings (<em>Sturnus vulgaris</em>) and cross-fostered chicks between enlarged and reduced broods approaching fledging.</span><span> We measured body size (mass, tarsus, wing length) and physiological state (aerobic capacity, oxidative status) at asymptotic mass on day 15, then cross-fostered chicks between 'high' and 'low' quality environments and assessed the same traits again on day 20, after five days of pre-fledging mass recession. Chicks in reduced broods were heavier at asymptotic mass and had lower reactive oxygen metabolites than enlarged broods, while structural size, aerobic capacity, and antioxidant capacity were unaffected by experimental brood size. The observed canalization of structural and physiological traits during early development was maintained after cross-fostering, during late development. However, in contrast to early development, antioxidant capacity approaching fledging appeared sensitive to environmental conditions, as trajectories varied by cross-fostering treatment. Elevated reactive oxygen metabolites observed after early development in enlarged brood chicks were maintained after cross-fostering, suggesting canalized development in low-quality environments could produce oxidative costs that carry over between life-stages, even when conditions improve. These data reveal trait-specific relationships between environmental conditions and development and highlight how natal environment effects may vary by developmental stage.</span></p>
Data from: Changes in environment and management practices improve foot health in zoo-housed flamingos
<p><strong>Summary</strong></p> <p>This dataset accompanies the publication <strong>"Changes in Environment and Management Practices Improve Foot Health in Zoo-Housed Flamingos"</strong> published in <em>Animals</em>. This study tracked changes in foot lesions for an individual flock of Chilean flamingos (97 birds) at Dublin Zoo (Ireland) over an 18-month period in response to management and substrate changes .</p> <p>Photos of each flamingo's feet were taken on May 6th 2021, when all flamingos had access to their outdoor habitat (<strong>Time Point A</strong>). Photos were taken again on 16th April 2022, following a six month period when the flamingos were restricted to their indoor habitat due to a Government order to prevent the spread of Avian Influenza (<strong>Time Point B</strong>). Final photos were taken on 9th November 2022, six months following the release of the birds back into their outdoor habitat (<strong>Time Point C</strong>). Further details can be found in the corresponding publication. </p> <p>Scoring was undertaken blindly by two independent and trained evaluators. These scores reflect the scoring metric developed by Nielsen et al. 2010, and include the four types of common flamingo foot lesion: hyperkeratosis, fissures, nodular lesions, and papillomatous growths. The independently calculated foot scores were subsequently compared, and in instances where the foot scores did not match, a consensus was sought between both evaluators to provide a final value for subsequent analysis. The data presented here reflects the consensus values used in the analysis. Discrepancies in the foot scores between both evaluators are reported and discussed in the corresponding publication. </p> <p><br> <strong>Description of the Dataset</strong></p> <p>One file is provided in .csv format. The file contains the following 11 columns: </p> <ul> <li><strong>Time_Point:</strong> The Time Point at which photos were taken (A = 6th May 2021, B = 16th April 2022, and C = 9th November 2022). </li> <li><strong>Animal_Identifier: </strong>An anonymous code used to identify individual flamingos (n = 97).</li> <li><strong>Hyperkeratosis_Total: </strong>The total hyperkeratosis score for that flamingo at that Time Point (considering both feet).</li> <li><strong>Fissures_Total: </strong>The total fissures score for that flamingo at that Time Point (considering both feet).</li> <li><strong>Nodular_Lesions_Total: </strong>The total nodular lesions score for that flamingo at that Time Point (considering both feet).</li> <li><strong>Papillomatous_Growths_Total:</strong> The total papillomatous growths score for that flamingo at that Time Point (considering both feet).</li> <li><strong>L_Total:</strong> The total left foot lesions score for that flamingo at that Time Point (considering all types of foot lesion).</li> <li><strong>R_Total:</strong> The total right foot lesions score for that flamingo at that Time Point (considering all types of foot lesion).</li> <li><strong>Overall_Total:</strong> The total foot lesions score for that flamingo at that Time Point (considering both feet and all types of foot lesion).</li> <li><strong>Sex:</strong> The sex of the flamingo (Male or Female) </li> <li><strong>Age: </strong>The age of the flamingo (Years)</li> </ul> <p> </p> <p><strong>Acknowledgements</strong></p> <p>We acknowledge and thank all Dublin Zoo staff and volunteers for their support and assistance throughout the project. Additionally, we thank Dr. Laura Kane for her technical assistance and support. </p> <p> </p> <p><strong>Disclaimer</strong></p> <p>Despite our best efforts at screening the data for errors and inconsistencies, some information could be erroneous. </p> <p> </p> <p><strong>Credit</strong></p> <p>If you use this dataset, please cite the corresponding publication:</p> <p>Mooney, A., McCall, K., Bastow, S., & Rose, P. (2023). Changes in Environment and Management Practices Improve Foot Health in Zoo-Housed Flamingos. <em>Animals, 13</em>(15),<em> </em>2483. <a href="https://doi.org/10.3390/ani13152483">https://doi.org/10.3390/ani13152483</a></p>
Directed movement changes coexistence outcomes in heterogeneous environments
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Data from: Ecological consequences of parasite host shifts under changing environments: more than a change of partner
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Adaptive and non-adaptive plasticity in changing environments: implications for sexual species with different life history strategies
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Does competitive asymmetry confer polyploid advantage under changing environments?
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Exploring changes in ecosystem service values in strongly human-impacted, contrasting agro-ecological environments
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Variation in oxidative status, but not structural and physiological development, associated with changing ontogenetic environments
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Local dominance predicts foraging decisions in a changing environment
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Data for isolation-by-environment and its consequences for range shifts with global change: Landscape genomics of the invasive common tansy
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Compensating for climate change-induced cue-environment mismatches: evidence for contemporary evolution of a photoperiodic reaction norm in Colias butterflies
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Data and code from: Predicting population genetic change in an autocorrelated random environment: insights from a large automated experiment
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Anthropogenic activity and climate change exacerbate the spread of pathogenic bacteria in the environment
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Incorporating generalist seagrasses enhances habitat restoration in a changing environment
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Data from: Evolution and disappearance of sympatric Coregonus albula in a changing environment - a case study of the only remaining population pair in Sweden
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Data from: Lack of genotype-by-environment interaction suggests limited potential for evolutionary changes in plasticity in the eastern oyster, Crassostrea virginica
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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.