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5,530 results for “informal”
Fig. 4 in The highs and lows of serow (Capricornis sumatraensis): multi-scale habitat associations inform large mammal conservation strategies in the face of synergistic threats of deforestation, hunting, and climate change
Fig. 4. Regional-scale relationships between serow captures and covariates. Displayed are the variables within the top-performing multivariate model as assessed by lower AICc scores. All covariates are averaged at a 20-km radius around the study area.
Fig. 5 in The highs and lows of serow (Capricornis sumatraensis): multi-scale habitat associations inform large mammal conservation strategies in the face of synergistic threats of deforestation, hunting, and climate change
Fig. 5. The relationships between serow predicted abundance and habitat variables at the local scale from Royle-Nichols hierarchical models. Oil palm, roughness and Human Footprint Index were in the top performing multivariate model.
Fig. 3 in The highs and lows of serow (Capricornis sumatraensis): multi-scale habitat associations inform large mammal conservation strategies in the face of synergistic threats of deforestation, hunting, and climate change
Fig. 3. Presence of the serow within its Southeast Asian range. Panel a) shows the IUCN Red List range extent of occurrence (EOO; shaded orange), and the occurrence records coloured by the data source. Panel b) shows the jackknife-based assessment of variable importance. The blue bars showing the explanatory power in the model using only the denoted variable, while the teal bars show the predictive power of the full model without the denoted variable, highlighting whether the variable captures unique information. Panel c) shows the probability of presence of the serow from Maxent modelling mapped within the Southeast Asian region covered by this study. Panel d) shows the forest cover in 2015 that is potentially occupied within the EOO. Panel e) is the Maxent probability of presence of serow inside the remaining forested areas within Southeast Asia. Original artwork courtesy of Tamzin Barber (https://www.talkinganimals.com.au/).
Results of the poll in the study "Information Scientists' Motivations for Research Data Sharing and Reuse"
<p>This is a dataset with results of the poll conducted in the study “Information Scientists’ Motivations for Research Data Sharing and Reuse”.</p> <p>In terms of the Uses and Gratifications Theory (Questions 1 and 2), the most popular uses relate to the categories of research support and information. Researchers share, or would share, their research data in general for any reusability purposes and especially for combination of different datasets to produce new evidence. Also, the vast majority of study participants associate research data sharing with possibilities to accelerate scientific progress and to increase research efficiency. In case of research data reuse, all the researchers indicated that they use, or would use, others’ data first of all for inspiration. Interestingly, study participants put relatively high the category of recognition in case of sharing, but at the same time they do not associate increased recognition among colleagues and other researchers with research data reuse. The remaining categories belonging to the categories of self-esteem and social interaction, i.e. increased citation level and visibility of the research as well as enhanced scientific reputation, possible cooperations and co-authorship, were selected only by few respondents. Also remarkably, data reuse is more frequently linked to entertainment then data sharing. </p> <p>In terms of the Self-Determination Theory (Questions 3 and 4), all but one of the interviewees indicated that they have shared or would share their research data because it can accelerate scientific progress which they consider important and would like to contribute to it (i.e., identified regulation). The second most popular motivation turned out to be the obligation by employer, project funder and/or journals (i.e., external regulation). The third most popular option was social influence, i.e. because many other researchers participate in data sharing and they feel obligated to do the same (i.e., external regulation).This way, the participants demonstrate a mixture of identified motivation and external regulation, both material and social. In the case of data reuse, the participants demonstrate more homogeneous results with identification and intrinsic motivation having most of the votes. The role of external regulation seems to be much less important as in the case with data sharing. So, researchers reuse, or would reuse, research data because it can accelerate scientific progress which is important for them. Additionally, researchers enjoy exploring and using third party research data. Thus, interviewees participate or would participate in data sharing because they consider it important, but also feel or are obliged to do so. At the same time, study participants do not feel pressure from outside when deciding whether to reuse data or not.</p> <p>For more information about the study and its results, please read the article “Information Scientists’ Motivations for Research Data Sharing and Reuse” by Shutsko and Stock (2023).</p>
Tallo database with World Flora Online taxonomic matches, also including information on presence in the TreeGOER and GlobalUsefulNativeTrees databases
<p>The <strong>Tallo database</strong> (v 1.0.0) provides tree measurements for 5,163 tree species and 61,856 globally distributed sites. The database can be accessed via <a href="https://zenodo.org/record/6637599">https://zenodo.org/record/6637599</a> and has been fully described in Jucker <em>et al.</em> 2022. <strong>Tallo: A global tree allometry and crown architecture database</strong>. Global Change Biology, 28, 5254–5268. <a href="https://doi.org/10.1111/gcb.16302">https://doi.org/10.1111/gcb.16302</a>. Data provided in this archive show the taxonomic matches with <a href="https://www.worldfloraonline.org/">World Flora Online</a> (Borsch et al. <a href="https://onlinelibrary.wiley.com/doi/10.1002/tax.12373">2020</a>) for two versions of its taxonomic backbone data set. The first version (<a href="https://www.worldfloraonline.org/downloadData">v. 2021.12</a>) was used also to standardize species names for the latest version of the <a href="https://www.worldagroforestry.org/output/agroforestry-species-switchboard-30">Agroforestry Species Switchboard</a> and during the compilation of the <strong>TreeGOER</strong> (<a href="https://zenodo.org/record/8052331">Tree Globally Observed Environmental Ranges</a>; Kindt <a href="https://onlinelibrary.wiley.com/doi/10.1111/gcb.16914">2023</a>) and <strong>GlobalUsefulNativeTrees</strong> (<a href="https://worldagroforestry.org/output/globalusefulnativetrees">GlobUNT</a>; Kindt <em>et al.</em> <a href="https://www.nature.com/articles/s41598-023-39552-1">2023</a>) databases. The second version (<a href="https://www.worldfloraonline.org/downloadData">v. 2023.03</a>) was the most recent version available online. Taxonomic matching was done via the <a href="https://cran.r-project.org/package=WorldFlora">WorldFlora</a> R package (Kindt <a href="https://bsapubs.onlinelibrary.wiley.com/doi/10.1002/aps3.11388">2020</a>, see example scripts for a different taxonomic matching exercise <a href="https://rpubs.com/Roeland-KINDT/996500">here</a>).</p> <p>Taxonomic matching was achieved for all taxa listed in the Tallo database, except for <em>Lithocarpus orocola</em>.</p> <p>Presence of a taxon in the TreeGOER and GlobalUsefulNativeTrees databases has been flagged by showing the number of records used in TreeGOER to calculate ranges for environmental variable bio01 and by the number of native countries in GlobUNT, respectively.</p> <p>The development of this archive was supported by the Darwin Initiative to project DAREX001 of <em>Developing a Global Biodiversity Standard certification for tree-planting and restoration</em>, by Norway’s International Climate and Forest Initiative through the Royal Norwegian Embassy in Ethiopia to the <em>Provision of Adequate Tree Seed Portfolio</em> project in Ethiopia, and by the Green Climate Fund through the IUCN-led <em>Transforming the Eastern Province of Rwanda through Adaptation</em> project.</p>
Supporting Information for "Solvent modulated specific ion effects: PNIPAM brushes in non-aqueous electrolytes"
<p>This deposition contains the data and analysis (Jupyter notebooks) detailed in <em>Solvent modulated specific ion effects: PNIPAM brushes in non-aqueous electrolytes</em>. All Jupyter notebooks have also been converted into PDF files for ease of viewing.</p> <p> </p> <p>All data and code (notebooks) required to reproduce the analysis can be found within the “supporting_data_analysis.zip” archive. This archive contains three sub-directories:</p> <ul> <li>Ellipsometry <ul> <li>Data directories containing all raw ellipsometry data for the ‘thick’ and ‘thin’ PNIPAM brushes.</li> <li>Spatial maps of the polymer brush used for spectroscopic ellipsometry data analysis: “surface_map.png”.</li> <li>“refellips_Spectroscopic_SL.ipynb” notebook to reproduce the analysis of the hydrated (solid-liquid) ‘thin’ polymer brush. Relevant plotting tools can be found in the <a href="https://github.com/refnx/refellips">refellips repo</a>.</li> <li>“Ellipsometry_logistical_fitting.ipynb” notebook and “water_results.csv” file for the demonstration of the extraction of a thermotransition temperature from an ellipsometry dataset. </li> <li>“refellips_Spectroscopic_SL_VFP.ipynb” notebook to reproduce the analysis of the hydrated (solid-liquid) ‘thick’ polymer brush.</li> </ul> </li> <li>Neutron_reflectometry <ul> <li>Data directory containing all relevant reduced reflectivity profiles from the Platypus reflectometer at ANSTO.</li> <li>“refnx_dry.ipynb” and “refnx_solvent.ipynb” notebooks required to reproduce the analysis pertaining to a dry polymer brush and a solvated brush, respectively.</li> <li>Additional code required to model the hydrated polymer brush and various plotting tools can be in the <a href="https://github.com/igresh/refnxtoolbox">refnxtoolbox repo</a>.</li> </ul> </li> </ul>
iWanDroid: Demand-driven Information Flow Analysis of WebView in Android Hybrid Apps
<p>The repo contains the tool iWanDroid: Artifacts for the paper Demand-driven Information Flow Analysis of WebView in Android Hybrid Apps, accepted at ISSRE 2023.</p> <p>Android hybrid apps augment native apps with web and inter-language communication capabilities. These apps facilitate the integration of web components, including JavaScript, into native apps. Besides, they allow a two-way communication where JavaScript can utilize functionality shared by the native side (Java). However, due to operational differences between Java and JavaScript, the semantics of this communication are complex. Tracking information flows via this communication channel, i.e., between these heterogeneous platforms, becomes intricate.</p> <p>Multiple approaches have been proposed to analyze hybrid apps. However, most of them focus on specific classes of web-induced vulnerabilities or provide rudimentary tracking of specific information flows via this communication channel. This work proposes a demand-driven analysis to comprehensively track information flow violations from the native side to JavaScript and vice-versa. To this end, our framework selectively creates data flow summaries of the shared native-side code based on its usage in the corresponding JavaScript code. We demonstrate the efficacy of our approach by applying it to various benchmarks and large-scale apps.</p> <p> </p>
Supplementary Data and Code: Change Point Analysis to decode Economic Crisis Information
<p>Raw data, results and Python code of the corresponding publication "Efficient Multi-Change Point Analysis to decode Economic Crisis Information from the S&P500 Mean Market Correlation" (accepted in: Entropy; Section: Complexity; Special Issue: Complexity in Finance). The change point analysis can be performed using the <a href="https://anticpy.readthedocs.io/en/latest/">documented</a> Python package <a href="https://github.com/MartinHessler/antiCPy"><em>antiCPy</em></a>. Some further helpful Python scripts are provided here under a <em>GNU General Public License v3.0.</em></p> <p>In Data_Generation you can find a list of</p> <ol> <li>S&P500 companies which are considered in the analysis,</li> <li>a jupyter notebook to create the correlation time series.</li> </ol> <p>Data_Preprocessing contains the</p> <ol> <li>S&P500 mean market correlation Financial_Time_Series_Centered_Interval__42days.csv,</li> <li>the Python code to thin it,</li> <li>the thinned data saved as .npy file,</li> <li>the time scale is saved <ul> <li>as integer numbers in thinned_time_thinning40.npy,</li> <li>as datetime in TimeScale_FinancialData.npy.</li> </ul> </li> </ol> <p>In Change_Point_Analysis you find the following files:</p> <ol> <li>cp_probs...npy contain the joint probabilities of the corresponding change point configurations (The joint probabilities are saved corresponding to the order in which Python's <em>itertools.combinations() </em>creates the configurations. This holds also for the cp_probs_5_cps.npy for which the whole combinations array is not saved for memory reasons),</li> <li>cp_pdfs...npy contain the marginal probability density functions of the ordinal change point positions averaged over all configurations,</li> <li>cp_configs...npy contain the configurations,</li> <li>segment_fit...npy contain the segment fit data,</li> <li>segment_fit_variance...npy contain corresponding variances,</li> <li>In the case of five change points only the plotted 1st, 13th and 26th most probable configuration in config_ranking_CP1_5.npy for memory reasons.</li> <li>the data and results of figure 3 for each crisis event can be found in the corresponding directory's folders: <ul> <li>blue corresponds to the pre-crisis data segments,</li> <li>green corresponds to the data segments up to the green vertical dotted line,</li> <li>red corresponds to the longest data segments incorporating near and in-crisis data.</li> </ul> </li> </ol> <p> </p> <p> </p>
Waste not, want not: microsatellites remain an economical and informative technology for conservation genetics
<p>Comparisons of microsatellite and single-nucleotide polymorphisms (SNPs) have found that SNPs outperform microsatellites in population genetic analyses, calling into question the continued utility of microsatellites in population and landscape genetics. Yet highly polymorphic markers may be of value in species that have reduced genetic variation. This study repeated analyses previously done using microsatellites with SNPs developed from ddRAD sequencing in the black-capped vireo source-sink system. SNPs provided greater resolution of genetic diversity, population differentiation, and migrant detection but could not reconstruct parentage relationships due to insufficient heterozygosities. The biological inferences made by both sets of markers were similar: asymmetrical gene flow from source sites to the remaining sink sites. With the landscape genetic analyses, we found different results between the two molecular markers, but associations of the top environmental features (riparian, open habitat, agriculture, and human development) with dispersal estimates were shared between marker types. Despite the higher precision of SNPs, we find that microsatellites effectively uncover population processes and patterns and are superior for parentage analyses in this species with reduced genetic diversity. This study illustrates the continued applicability and relevance of microsatellites in population genetic research.</p>
OIE4PA: Open Information Extraction for the Public Administration
<p>Tenders are powerful means of investment of public funds and represent a strategic development resource.<br> Despite the efforts made so far by governments at national and international levels to digitalise documents related to the Public Administration sector, most of the information is still available in an unstructured format only. <br> With the aim of bridging this gap, we present OIE4PA, our latest study on extracting and classifying relations from tenders of the Public Administration.<br> Our work focuses on the Italian language, where the availability of linguistic resources to perform Natural Language Processing tasks is considerably limited. <br> For evaluation purposes, we built a dataset composed of 2,000 triples extracted from Italian tenders, which have been manually annotated by two human experts.</p> <p>The dataset, compressed in a single zip file, is composed of:</p> <ul> <li>The corpus of 6,262 texts extracted from Italian public tenders (corpus_tenders)</li> <li>The training set of 1,600 annotated triples (training_set)</li> <li>The test set of 400 annotated triples (test_set)</li> <li>The set U of 14,096 triples used for the self-training (u_triples_dd)</li> <li>a compressed archive that contains both the extracted triples and the index for each supervised approach (extraction) <br> </li> </ul>
[Supplementary Information] Model uncertainty versus variability in the life cycle assessment of commercial fisheries
<p>Supporting information from the manuscript: <em>Model uncertainty versus variability in the life cycle assessment of commercial fisheries</em>. The study analyses the life cycle assessment of fish species landed by Danish trawlers, comparing sources of uncertainty (such as modelling approaches) with sources of variability (vessel length and years).</p> <p>Supporting information 1: In depth description of the different models used in the study, the fuel disaggregation processes and the sensitivity analysis performed</p> <p>Supporting information 2: Contains the excel table with the datasets and related calculations to replicate the results described in the paper and the R code used to analyze the results.</p>
sabasoori23/AGU-Publication-WRR: Supporting Information-Data Set 1
<p>The Effect of the Bridge Piers and Abutment Interaction on Large Wood Accumulation Probability using a Physical Mode</p>
Adapting the informed push model to the last mile of the contraceptive supply chain in the Democratic Republic of Congo: Pilot study results
<p>This dataset includes stockout information for nine contraceptives in health facilities in the Katana Health Zone in the South Kivu province of the Democratic Republic of Congo. Information recorded includes availability of contraceptives, occurance and duration of stockouts, and transportation costs for contraceptives. Pilot study results revealed there was no statistically significant difference in availability of contraceptives at the beginning and end of the study period. However, there was a sharp decline in stockout duration and monthly transportation costs. Data was organized as a .dta STATA file in long format, then exported as a CSV file. The dataset includes information on availability of contraceptives, occurance and duration of stockouts and transportation costs. Key abbreviations include IUD (intrauterine device) and EC (emergency contraception). All costs were reported in US dollars.</p>
Digitalisation and Access to Information I PRODIGEES IMexico
<p>Originally published on YouTube: <a href="https://www.youtube.com/watch?v=cdkO5lLGUEY">Digitalisation and Access to Information I PRODIGEES I Mexico - YouTube</a></p> <p>Funded by the PRODIGEES project, during a stay as guest researcher at our partner institute the Institution Mora in Mexico City, Anita Breuer conducted research on the implications of digitalisation and disinformation for democracy and social cohesion. In a video she now shares preliminary findings of her research and implications for development cooperation in the field of rights to information and freedom of expression.</p>
Question Answering auf dem Lehrbuch "Health Information Systems" mit Hilfe von unüberwachtem Training eines Pretrained Transformers
Masterthesis, verwendete Datensätze, Skripte und Ergebnisse des praktischen Teils
I'm not a doctor, but I know the basics: Share information, not medication. (Mimi sio daktari, lakini nafahamu mambo ya msingi. Sambaza taarifa, sio dawa.).
<p>Video in Swahili with English subtitles, containing an example of friends discussing recent experiences of illness and giving advice/information on Antimicrobial Resistance (AMR). </p> <p>Video produced as part of a Participatory Action Research Workshop with young professionals in Mwanza, Tanzania to create public health messages on Antimicrobial Resistance in a post-COVID East Africa in June 2022. This builds off of the data gathered in two international, interdisciplinary research projects (HATUA - Holistic Approaches to Understanding Antimicrobial Resistance in East Africa and CARE - COVID-19 and Antimicrobial Resistance in East Africa – Impact and Response), seeking to understand the wider medical and societal drivers of AMR in East Africa and identify possible interventions to curb the spread of AMR. The workshop ran for 9 days over a 3 week period and consisted of focus group style discussions with participants to explore issues surrounding AMR, antibiotic use, and public health messaging awareness in local communities (Days 1-2),participant-led design of poster, radio, and video messages with feedback from the research team and introduction to filming/recording equipment (days 3-4), filming, shooting and recording materials within local settings in Mwanza with participants serving as actors, directors, and crew with guidance from research team (days 4-8) and a final in-person review and hands-on feedback of preliminary mock-ups of posters and videos (day 9). Participants have continued to collaborate via email and WhatsApp as materials were finalised. </p> <p>Reflexive self-critique: Video and sound quality are a reflection of the participatory approach to producing materials. We are also acknowledge that there are issues which could have been highlighted in greater detail, particularly considering the post-COVID context e.g., using hand sanitiser and social distancing, for example. Character also emphasises having knowledge despite not being a doctor, which could undermine the importance of other healthcare professionals in spreading critical and reliable public health information. </p> <p>Correspondence: kjf4@st-andrews.ac.uk; mgk@st-andrews.ac.uk</p>
Supporting information for "Few-Shot Learning Enables Population-Scale Analysis of Leaf Traits in Populus trichocarpa"
<p>Raw VCF file for <em>Populus trichocarpa</em> V4 SNPs - Biallelic SNP variants were called for 1492 Populus trichocarpa genotypes using GATK Version 4.0 software.</p>
Supporting information for prebiotic triose glycolysis promoted by co-catalytic proline and phosphate in neutral water
<p>Supporting information for prebiotic triose glycolysis promoted by co-catalytic proline and phosphate in neutral water</p>
An Intravenous Pancreatic Cancer Therapeutic: Characterization of CRISPR/Cas9n-modified Clostridium novyi-Non Toxic Supplementary Information Histology Slides Part 2
<p>H&E and Gram stained whole slide scans for blinded cohorts from publication titled ‘An Intravenous Pancreatic Cancer Therapeutic: Characterization of CRISPR/Cas9n-modified <em>Clostridium novyi-</em>Non Toxic’ published in PLOS One 2023.</p> <p>Excerpt from methods section of publication detailing acquisition of this data: "Formalin-fixed tissue samples were processed for paraffin embedding by the means of dehydration, clearing and paraffin infiltration (Lynx II Tissue Processor). The paraffin embedded tissue samples were sectioned using a Leica Rotatory Microtome RM2125 RTS at 5um thickness. Designated tissue sections were subsequently de-paraffined and stained with H&E and gram staining as per standard histology protocols (Leica Autostainer XL). Whole slide scanning (WSI) was performed by a Panoramic 250 whole slide scanner at 20x magnification (3D Histech) using a Carl-Zeiss Plan-Apochromat 20x / NA 0.8 objective."</p> <p>Please note when downloading the image files that the folder containing all of the .data files <strong>cannot</strong> contain the corresponding .mxrs file. The .mxrs and the folder containing the .data files <strong>must</strong> have identical names and be at the same file level (as uploaded). Files of this type can be opened by the open source software FIJI or QuPath, among others.</p> <p>Cohorts have been uploaded with viewers blinded to treatment groups to allow for unbiased review should it be desired, with a cohort key uploaded separately (doi: ##). Files are grouped so that all major organs from a single mouse are in the same compressed folder.</p>
An Intravenous Pancreatic Cancer Therapeutic: Characterization of CRISPR/Cas9n-modified Clostridium novyi-Non Toxic Supplementary Information Histology Slides Part 5
<p>H&E and Gram stained whole slide scans for blinded cohorts from publication titled ‘An Intravenous Pancreatic Cancer Therapeutic: Characterization of CRISPR/Cas9n-modified <em>Clostridium novyi-</em>Non Toxic’ published in PLOS One 2023.</p> <p>Excerpt from methods section of publication detailing acquisition of this data: "Formalin-fixed tissue samples were processed for paraffin embedding by the means of dehydration, clearing and paraffin infiltration (Lynx II Tissue Processor). The paraffin embedded tissue samples were sectioned using a Leica Rotatory Microtome RM2125 RTS at 5um thickness. Designated tissue sections were subsequently de-paraffined and stained with H&E and gram staining as per standard histology protocols (Leica Autostainer XL). Whole slide scanning (WSI) was performed by a Panoramic 250 whole slide scanner at 20x magnification (3D Histech) using a Carl-Zeiss Plan-Apochromat 20x / NA 0.8 objective."</p> <p>Please note when downloading the image files that the folder containing all of the .data files <strong>cannot</strong> contain the corresponding .mxrs file. The .mxrs and the folder containing the .data files <strong>must</strong> have identical names and be at the same file level (as uploaded). Files of this type can be opened by the open source software FIJI or QuPath, among others.</p> <p>Cohorts have been uploaded with viewers blinded to treatment groups to allow for unbiased review should it be desired, with a cohort key uploaded separately (doi: ##). Files are grouped so that all major organs from a single mouse are in the same compressed folder.</p>
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.