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177 results for “multi-level”
Supplementary Materials: A primer on gathering and analysing multi-level quantitative evidence for differential student outcomes in higher education
<p>Example data sets, syntax files and macros for the tutorials in: Balloo, K., & Winstone, N. E. (2021). A primer on gathering and analysing multi-level quantitative evidence for differential student outcomes in higher education.<em> Frontline Learning Research</em>. <a href="https://eur02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fdoi.org%2F10.14786%2Fflr.v9i2.675&data=04%7C01%7Ck.balloo%40surrey.ac.uk%7C50bb47bb433744dc8da208d8c2116202%7C6b902693107440aa9e21d89446a2ebb5%7C0%7C0%7C637472728228002863%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000&sdata=fyA0y2hUkHESUJ7sVJ3s42Re4Yqa5XbgwW7AvEyGDdk%3D&reserved=0">https://doi.org/10.14786/flr.v9i2</a><a href="https://eur02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fdoi.org%2F10.14786%2Fflr.v9i2.675&data=04%7C01%7Ck.balloo%40surrey.ac.uk%7C50bb47bb433744dc8da208d8c2116202%7C6b902693107440aa9e21d89446a2ebb5%7C0%7C0%7C637472728228002863%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000&sdata=fyA0y2hUkHESUJ7sVJ3s42Re4Yqa5XbgwW7AvEyGDdk%3D&reserved=0">.675</a> </p> <p><strong>The data for all examples are fictional, and have only been designed to simulate the possible behaviour of institutional data for the purposes of demonstrating the analytical approaches in the primer. No inferences or conclusions should be drawn from the findings of these examples, because the results are not real. </strong></p> <p>We anticipate that readers can use the example data sets as templates and substitute in their own data.</p>
A multi-level network tool to trace wasted water from farm to fork and backward
<p>NETFLOW - Network-based 13 Evaluation Tool for Food LOss and Waste<br>V 0.1</p> <p>####################################################################################################################################################</p> <p><br>Authors:<br>Francesco Semeria - Politecnico di Torino - francesco.semeria@polito.it<br>Marta Tuninetti - Politecnico di Torino<br>Luca Ridolfi - Politecnico di Torino</p> <p>####################################################################################################################################################</p> <p>CONTENT OF THIS ARCHIVE</p> <p>The listed files contain output data from the NETFLOW tool and assess the impact on water resources of food loss and waste (FLW) for wheat an its main derived products (flour, bran, pasta and bread).</p> <p>In particular, they quantify such impact offering two perspectives: <br> 1. supply-side, from FLW associated to food consumption backwards to the countries of production;<br> 2. utilisation-side, from the countries of production forward to the countries where FLW occurs.</p> <p>It should be noted that the two perspectives allow to identify two different aspects of the FLW issue.</p> <p><br>List of files:</p> <p>data_fig2_ita_supply_vw.xlsx = output data regarding the supply network of Italy.<br>data_fig3_usa_utilisation_vw.xlsx = output data regarding the utilisation network of the United States.<br>data_fig4_global_supply_vw.xlx = output data regarding the global supply network.</p> <p><br>Modelling scripts are currently available upon request.</p>
CESM2 cloud locking suite multi-level fields for FCTL simulation
<p>Selected multi-level Community Atmosphere Model version 6 (CAM6) fields from the FCTL simulation of the Community Earth System Model version 2.0.1 (CESM2). The simulation is labeled "FCTL" in the GRL manuscript but has a native case name of "F1850JJB_c201_CTL" in the file names. FCTL is forced by prescribed pre-industrial atmospheric composition, and monthly mean sea-surface temperatures and sea ice concentrations taken from an existing pre-industrial fully coupled simulation ("CTL").</p>
Dataset: Multi-level network dataset of social-ecological interdependencies in ten Swiss wetlands based on qualitative interviews and quantitative surveys
<p>The dataset originated from quantitative online surveys and qualitative expert interviews with organizational actors relevant to the governance of ten Swiss wetlands from 2019 till 2021. Multi-level networks represent the wetlands governance for each of the ten cases. The collaboration networks of actors form the first level of the multi-level networks and are connected to multiple other network levels that account for the social and ecological systems those actors are active in. 521 actors relevant to the management of the ten wetlands are included in the collaboration networks; quantitative survey data exists for 71% of them. A unique feature of the collaboration networks is that it differentiates between positive and negative forms of collaboration specified based on actors' activity areas. Therefore, the data describes not only if actors collaborate but also how and where actors collaborate. Further additional two-mode networks (actor participation in forums and involvement in other regions outside the case area) are elicited in the survey and connected to the collaboration network. Finally, the dataset also contains data on ecological system interdependencies in the form of conceptual maps derived from 34 expert interviews (3-4 experts per case).</p>
Multi-level power load dataset
<p>This is the dataset used in the paper "Benchmarks and Custom Package for Electrical Load Forecasting" submitted to Neurips2023 datasets and Benchmark track. This dataset contains 11 independent datasets, including two levels of data (building level and greater than building level). Except for the ELF and UCI datasets, all other data have corresponding temperature data.</p>
Data for a publication: "A new promising material for biological applications: multi-level physical modification of AgNPs-decorated PEEK"
<p>The data set contains the data that were used within the article "A New Promising Material for Biological Applications: Multilevel Physical Modification of AgNP-Decorated PEEK" published in the journal Nanomaterials.</p> <p><strong>Versions:</strong></p> <p><strong>V1&2</strong>: The dataset contained AFM and UV VIS data.</p> <p><strong>V3</strong>: All the data used in the article are sorted in the file structure, which description is thoroughly described in the READ ME file. Additionally, the preprint DOI was added.</p> <p> </p> <p> </p>
Multi-level stakeholder engagement
<p>Visualisation indicating the multi-level stakeholder process pursued in e-SAFE. The visualisation indicates how different stakeholder engagement processes are linked together.</p> <p>The Advisory Board gives advice about the design and implementation of the real pilot in Catania (where one building is renovated with the e-SAFE technical solution) as well as the co-design and stakeholder engagement protocol. These protocols are informed by the results from the real pilot in Catania, and tested in two virtual pilots in other seismic prone cities outside of Italy. </p> <p>The EU-stakeholder forum exchanges feedback and information with the real and virtual pilots, and gets access to the co-design and stakeholder engagement protocol. In that way, local, regional and European level stakeholders are engaging with the e-SAFE project.</p>
Associated code and data for "Multi-level computational modeling of anti-cancer dendritic cell vaccination utilized to select molecular targets for therapy optimization (doi: 10.3389/fcell.2021.74635)"
<p>This deposit contains the data, code, and analysis to reproduce the results in the manuscript - Lai X, Keller C, Santos-Rosales G, Schaft N, Dörrie J, Vera J. Multi-level computational modeling of anti-cancer dendritic cell vaccination utilized to select molecular targets for therapy optimization. Frontiers in Cell and Developmental Biolology. 2022; 9:746359; <a href="https://www.researchgate.net/publication/358461035_Multi-Level_Computational_Modeling_of_Anti-Cancer_Dendritic_Cell_Vaccination_Utilized_to_Select_Molecular_Targets_for_Therapy_Optimization">doi:10.3389/fcell.2021.746359</a>.</p> <p>If you have used the code for your research, please cite the original publication. Thank you very much.</p> <p> </p>
main source codes and files of "Meta-path Based Prioritization of Functional Drug Actions with Multi-Level Biological Networks"
<p>These source codes and their related files are associated the study. "Meta-path Based Prioritization of Functional Drug Actions with Multi-Level Biological Networks"</p> <p>This study is in process of publication.</p>
Loss of multi-level 3D genome organization during breast cancer progression - Processed LAD files
<p>This entry contains the processed LAD files produced as part of the following study:<br><strong>Loss of multi-level 3D genome organization during breast cancer progression</strong></p>
Loss of multi-level 3D genome organization during breast cancer progression - Third-party datasets
<p>This entry contains the following datasets:</p> <p>Datasets used by <a href="https://github.com/dixonlab/hic_breakfinder" target="_blank" rel="noopener">hic_breakfinder</a>:</p> <ul> <li>inter_expect_1Mb.hg38.txt</li> <li>intra_expect_100kb.hg38.txt</li> </ul> <p>FIles were originally downloaded from <a href="https://salkinstitute.box.com/s/m8oyv2ypf8o3kcdsybzcmrpg032xnrgx" target="_blank" rel="noopener">this</a> URL.</p> <p>Datasets used by <a href="https://github.com/parklab/HiNT" target="_blank" rel="noopener">HiNT</a>:</p> <ul> <li>backgroundMatrices_hg38.zip</li> <li>refData_hg38.zip</li> </ul> <p>Files were originally downloaded from the following URLs: <a href="http://compbio.med.harvard.edu/hint/refData/" target="_blank" rel="noopener">link1</a>, <a href="http://compbio.med.harvard.edu/hint/backgroundMatrices/" target="_blank" rel="noopener">link2</a>.</p> <p>The above datasets are used by the data analysis workflows hosted at <a href="https://github.com/paulsengroup/2022-mcf10a-cancer-progression" target="_blank" rel="noopener">paulsengroup/2022-mcf10a-cancer-progression.</a><br>The results produced by running the workflows from the above repository were used as part of the following study:<br><strong>Loss of multi-level 3D genome organization during breast cancer progression</strong></p>
Emergence of kinship structures and descent systems: multi-level evolutionary simulation and empirical data analyses
Open the record for dataset details and reuse information.
Figure 1 from "Comparative analysis of squamate brains unveils multi-level variation in cerebellar architecture associated with locomotor specialization"
<p> </p> <p>Published as part of <a href="https://doi.org/10.1038/s41467-019-13405-w"><strong>Macrì, S <em>et al</em>., 2019, Nature Communications: 10(1):5560</strong></a></p> <p><strong>"Comparative analysis of squamate brains unveils multi-level variation in cerebellar architecture associated with locomotor specialization"</strong> DOI: https://doi.org/10.1038/s41467-019-13405-w</p> <p> </p> <p><strong>Fig. 1</strong> <strong>Phylogeny and cerebellar diversity of squamates.</strong> <strong>a</strong> Phylogenetic tree of all snake and lizard species used in morphological and volumetric analyses, adapted from the most inclusive phylogenetic study available for extant squamates. The seven major locomotor modes for snakes (coloured squares) and/or lizards (coloured circles), as defined based on anatomical features, habitat use, and movement type, are indicated by the same colour code throughout the entire manuscript (see bottom left corner): limbless or limb-reduced burrower (red squares and circles); limbless or limb-reduced facultative burrower (purple squares and circles); limbless or limb-reduced multi-habitat using lateral undulation (orange squares and circles); limbless or limb-reduced multi-habitat using other movements (yellow squares); quadrupedal arboreal (dark blue circles); quadrupedal terrestrial (light blue circles); quadrupedal facultative bipedal/aerial (green circles). <strong>b</strong>–<strong>o</strong> 3D-volume rendering and high-resolution whole-brain segmentation of iodine-stained adult heads (<strong>b</strong>–<strong>h</strong>) highlighting the cerebellum structure (<strong>b</strong>–<strong>o</strong>, red colour) of selected representative squamates at indicated position in the phylogenetic tree: <em>Pantherophis guttatus</em> (<strong>b</strong>, <strong>i</strong>), <em>Epicrates cenchria</em> (<strong>c</strong>, <strong>j</strong>), <em>Pogona vitticeps</em> (<strong>d</strong>, <strong>k</strong>), <em>Draco volans</em> (<strong>e</strong>,<strong> l</strong>), <em>Bradypodion pumilum</em> (<strong>f</strong>, <strong>m</strong>), <em>Anguis fragilis</em> (<strong>g</strong>, <strong>n</strong>), <em>Melanoseps loveridgei</em> (<strong>h</strong>, <strong>o</strong>). High magnifications of 3D-rendered cerebella (<strong>i</strong>–<strong>o</strong>) are shown in pial surface (left panels) and lateral (right panels) views for each selected species. Scale bars: 1mm (<strong>b</strong>–<strong>h</strong>), 500 μm (<strong>i</strong>–<strong>o</strong>).</p>
Figure 8 from "Comparative analysis of squamate brains unveils multi-level variation in cerebellar architecture associated with locomotor specialization"
<p> </p> <p>Published as part of <a href="https://doi.org/10.1038/s41467-019-13405-w"><strong>Macrì, S <em>et al</em>., 2019, Nature Communications: 10(1):5560</strong></a></p> <p><strong>"Comparative analysis of squamate brains unveils multi-level variation in cerebellar architecture associated with locomotor specialization"</strong> DOI: https://doi.org/10.1038/s41467-019-13405-w</p> <p> </p> <p><strong>Fig. 8 Comparative transcriptomics of the squamate cerebellum.</strong> <strong>a</strong> Two-way hierarchical clustering heat map showing three clusters of genes (rows) that behave similarly (clusters 1 and 2) or differently (cluster 3) across ten selected squamate species (columns). Z-score colour intensities reflect scaled gene expression values, ranging from low (blue) to high (yellow), for 630 one-to-one orthologous genes identified in all species. <strong>b</strong> Pie charts showing the distribution of orthologous genes (in %) among all significantly enriched gene ontology terms for biological processes (hypergeometric test with a false discovery rate multiple-hypothesis correction, p-value < 0.01) in clusters identified in <strong>a</strong>. c Hierarchical clustering of pairwise Pearson’s correlation coefficients for 630 orthologous genes identified across all squamate species. Colour intensities of individual tiles in the heat map depict pairwise correlation coefficient values, ranging from low (blue) to high (yellow), between selected species with indicated locomotor mode (see colour code and symbols on the right). Numbers at nodes in the cluster dendrogram represent approximately unbiased p-values (in percentage) obtained by multiscale bootstrap resampling.</p> <p> </p> <p> </p> <p> </p>
Figure 7 from "Comparative analysis of squamate brains unveils multi-level variation in cerebellar architecture associated with locomotor specialization"
<p> </p> <p>Published as part of <a href="https://doi.org/10.1038/s41467-019-13405-w"><strong>Macrì, S <em>et al</em>., 2019, Nature Communications: 10(1):5560</strong></a></p> <p><strong>"Comparative analysis of squamate brains unveils multi-level variation in cerebellar architecture associated with locomotor specialization"</strong> DOI: https://doi.org/10.1038/s41467-019-13405-w</p> <p> </p> <p><strong>Fig. 7</strong> <strong>Variability in the arrangement of Purkinje cells (PCs) in the squamate cerebellum.</strong> <strong>a</strong>, <strong>b</strong> Representative light-sheet microscopy imaging of cleared whole-cerebella showing the 3D distribution and arrangement of calbindin 1 (CALB1)-immunolabelled PCs in two representative species with different locomotor modes (see colour code and symbols in top left corner): <em>Pogona vitticeps </em>(<strong>a</strong>) and <em>Boaedon fuliginosus</em> (<strong>b</strong>). The boxed areas in the coronal 3Drendered cerebellar views (top panels) are shown at higher magnifications in coronal (left) and sagittal (right) views in the lower panels. <strong>c</strong>, Violin plot showing the quantitative distribution of CALB1-immunolabelled PCs in the cerebellar cortex of selected squamate species with similar or different locomotor modes (colour code and symbols as above). Due to intra- and interspecies heterogeneity in molecular layer (ML) thickness, the position of individual cells (n = 250–750 per species) was calculated as the distance (in %) from the granule cell layer (GCL) to the outer border (pial surface) of the ML, and error bars represent the standard deviation. Four major positioning patterns containing three or four squamate species and reflecting the increased scattering of PCs (from I to IV) were identified based on Kruskal-Wallis statistics. Immunohistochemistry with CALB1 marker (red staining) on sagittal sections of the cerebellar cortex in selected representative species are shown at low and high magnifications (insets) for each pattern: <em>Pogona vitticeps</em> (I), <em>Eryx colubrinus</em> (II), <em>Pseudopus apodus</em> (III), <em>Dasypeltis gansi</em> (IV). Scale bars: 30 μm (<strong>a</strong>, <strong>b</strong>), 100 μm (<strong>c</strong>).</p> <p> </p> <p> </p>
Figure 6 from "Comparative analysis of squamate brains unveils multi-level variation in cerebellar architecture associated with locomotor specialization"
<p> </p> <p>Published as part of <a href="https://doi.org/10.1038/s41467-019-13405-w"><strong>Macrì, S <em>et al</em>., 2019, Nature Communications: 10(1):5560</strong></a></p> <p><strong>"Comparative analysis of squamate brains unveils multi-level variation in cerebellar architecture associated with locomotor specialization"</strong> DOI: https://doi.org/10.1038/s41467-019-13405-w</p> <p> </p> <p><strong>Fig. 6 Cerebellar size variation in squamates with different locomotor behaviours.</strong> <strong>a</strong> Scatter plot showing the correlation of cerebellum relative to wholebrain volume (in mm3) for selected representative squamate species (see colour code and symbols in bottom right corner). The coloured lines and shadings represent the phylogenetic generalized least squares (PGLS) regression lines and 95% confidence intervals for each locomotor mode, respectively. <strong>b</strong> Ridgeline plot showing the distribution of the cerebellum-to-whole-brain volume ratios (in percentage) for each indicated limbless or limbreduced (top panels) or quadrupedal (bottom) locomotor mode. Colour gradient, ranging from yellow to blue, reflects the tail distribution probability.</p>
Supplementary Figure 1 from "Comparative analysis of squamate brains unveils multi-level variation in cerebellar architecture associated with locomotor specialization"
<p> </p> <p>Published as part of <a href="https://doi.org/10.1038/s41467-019-13405-w"><strong>Macrì, S <em>et al</em>., 2019, Nature Communications: 10(1):5560</strong></a></p> <p><strong>"Comparative analysis of squamate brains unveils multi-level variation in cerebellar architecture associated with locomotor specialization"</strong> DOI: https://doi.org/10.1038/s41467-019-13405-w</p> <p> </p> <p><strong>Supplementary Fig. 1:</strong> <strong>Definition of 3D anatomical landmarks.</strong> <strong>a</strong>, Position of 3D anatomical landmarks on the whole brain of the lizard <em>Agama agama</em> in dorsal (top left panel), ventral (top right), and lateral (bottom) views. <strong>b</strong>, Position of 3D anatomical landmarks on the isolated cerebellum of <em>Agama agama</em> in pial surface (left panel) and lateral (right) views. <strong>c</strong>, Schematic representation of the whole-brain of <em>Agama agama</em> highlighting the five major regions used for landmarking. <strong>d</strong>, Table showing the definition of 3D anatomical landmarks with associated number (see <strong>a</strong>, <strong>b</strong>) and brain region (see <strong>c</strong>).</p>
Data from: Effects of a trophic cascade on a multi-level facilitation cascade
<p>1. The role of cascades in natural communities has been extensively studied, but interactions between trophic and facilitation cascades are unexplored. In the White Sea (65° N) shallow subtidal bivalve primary facilitators provide hard substrate for secondary facilitator barnacles, that in turn provide substrate for conspecifics, ascidians, red algae, and multiple associated organisms, composing a multi-level facilitation cascade. Previous research revealed that predation by the whelk (Boreotrophon clathratus) accounts for ~7% of adult barnacle mortality. Low whelk abundance limits their effect, with barnacles living on conspecifics several times more vulnerable to predation than those living on primary substrate.</p> <p>2. Trophic cascades can selectively shield foundation species from consumers, and hence may affect the structure and length of facilitation cascades. We tested the hypothesis that low abundance of the whelks results from mesopredator predation on their juveniles. Depending on the magnitude of the effect, this would mean that a trophic cascade controls the abundance of barnacles on all substrates or only barnacles living on conspecifics. We also suggested that barnacles on primary substrates and conspecifics facilitate different dependent assemblages.</p> <p>3. We manipulated the presence of crab and shrimp mesopredators in field caging experiments to assess their effect on whelk recruitment. In a field survey we compared the assemblages of sessile macrobenthic organisms associated with barnacles living on different substrates.</p> <p>4. Caging experiments evidenced that crab and shrimp mesopredators reduce whelk recruitment by 4.6 times. Field data showed that barnacles on primary substrate and on conspecifics promote different dependent assemblages including secondary facilitator ascidians.</p> <p>5. Although mesopredators do not shield barnacles from elimination, their absence would restrict them from living on conspecifics. Barnacles on conspecifics are functially different from barnacles on primary substrate, and can be concidered a separate level of the facilitation cascade. Trophic cascades thus can generate community-wide effects on facilitation cascades by affecting their structure and possibly length.</p>
Data from: multi-level determinants of land use land cover change in Tigray, Ethiopia: a mixed-effects approach using socioeconomic panel and satellite data
<p>The dataset contains six files from three data sources: (1) the Ethiopia Rural Socioeconomic Survey (ERSS)/Living Standards Measurement Study-Integrated Surveys on Agriculture (LSMS-ISA), a three-round panel data for Ethiopia, filtered for Tigray region; (2) an ERSS follow-up survey on the beliefs and opinions of respondents on land use change conducted in August 2019 in Tigray; and (3) land cover transition data derived from LandSat satellite imagery for years 1986 and 2016. The files include data on household and plot features, prices of land use outputs, a diagonal block matrix of variables for mixed effects analysis, beliefs and opinions on land use change, and land cover transitions. The dataset covers 34 Enumeration Areas (EA) of the ERSS/LSMS-ISA and is representative of the region. It can be useful for studies on land use policies, environmental protection, and the drivers and impacts of land use land cover change in Tigray, Ethiopia. The data were processed using user-written codes in STATA v.17.</p>
Data from: Exploring the multi-level impacts of a youth-led comprehensive sexuality education model in Madagascar using human-centered design methods
<p>Comprehensive sexuality education (CSE) is recognized as a critical tool for addressing sexuality and reproductive health challenges among adolescents. However, little is known about the broader impacts of CSE on populations beyond adolescents, such as schools, families, and communities. This study explores multi-level impacts of an innovative CSE program in Madagascar, which employs young adult CSE educators to teach a three-year curriculum in government middle schools across the country. The two-phased study embraced a participatory approach and qualitative Human-centered Design (HCD) methods. In phase 1, 90 school principals and administrators representing 45 schools participated in HCD workshops, which were held in six regional cities. Phase 2 took place one year later, which included 50 principals from partner schools, and focused on expanding and validating findings from phase 1. From the perspective of school principals and administrators, the results indicate several areas in which CSE programming is having spill-over effects, beyond direct adolescent student sexuality knowledge and behaviors. In the case of this youth-led model in Madagascar, the program has impacted the lives of students (e.g., increased academic motivation and confidence), their parents (e.g., strengthened family relationships and increased parental involvement in schools), their<br>schools (e.g., increased perceived value of schools and teacher effectiveness), their communities (e.g., increased community connections), and impacted broader structural issues (e.g., improved equity and access to resources such as menstrual pads). While not all impacts of the CSE program were perceived as positive (e.g., students start experimenting with sex and love), the findings uncovered opportunities for targeting investments and refining CSE programming to maximize positive impacts at family, school, and community levels.</p>
ScienceDex guides
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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.