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2,045 results for “planning”
Investigating Data Assets, Management, and Planning at UF
<p>This dataset represents a data assessment of select researchers across multiple communities of practice at the University of Florida as part of an IRB 201602303 study to investigate the data management practices, storage, and training needs of researchers. The study was conducted from January 3, 2017 - April 30, 2017. One hundred fifty-nine starts, one hundred fifty-six informed consent, and one hundred thirty-three completes for a 83% completion. However, Question 26 which contained PID was deleted from this raw dataset.</p>
Dataset used in the paper "Merge-and-Shrink Heuristics for Classical Planning: Efficient Implementation and Partial Abstractions"
<p>This dataset contains all raw and processed data used in the paper. It has been generated using Downward-Lab (see https://doi.org/10.5281/zenodo.399255).</p> <p>Directories without the "-eval" ending contain raw data, distributed over a subdirectory for each experiment. Each of these contain a subdirectory tree structure "runs-*" where each planner run has its own directory. For each run, there are the input PDDL files, domain.pddl and problem.pddl, the compressed output as generated by the translator component of Fast Downward (output.sas.xz), the run log file "run.log" (stdout), possibly also a run error file "run.err" (stderr), the run script "run" used to start the experiment, and a "properties" file that contains data parsed from the log file(s).</p> <p>Directories with the "-eval" ending contain a "properties" file, which contains a JSON directory with combined data of all runs of the corresponding experiment. In essence, the properties file is the union over all properties files generated for each individual planner run.</p> <p>To process the data further, we used the scripts available in the software bundle of the paper: https://doi.org/10.5281/zenodo.1290524</p>
Guidelines for Data Management Plan implementation of One Health EJP projects: Webinar held on the 19th December 2018
<p>Webinar held on the 19th December 2018 to introduce Data Management Plan to scientists involved in the research and integrative projects of One Health European Joint Program.</p>
Ridge Evolution, Plan View
<p>The evolution of a simulated three dimensional sea ice pressure ridge is shown from above. The left plate is 100 m x 50 m x 0.4 m and the right plate is 5 m x 50 m x 1 m. The left plate is moving at 2 cm/s to the right. The simulation shows 600 s of convergence with the left edge of the plate moving a total of 12 m. The pressure, in Pa, felt by each grain is calculated for coloration to show regions of compression, tension, and the transmission of stress through the material. </p>
RES Living Labs Operational Plan
<p>This document aims to provide a solid operating structure for the interaction between the PROSEU team members and the Living Lab. It establishes a set of common goals, clarifies roles and responsibilities between the PROSEU Focal Point and the Living Lab Focal Point and outlines a clear timeline for the activities to be carried out. </p>
Construction-Planning Models in Minecraft
<p>Collection of benchmarks for the Minecraft House Construction scenario. </p> <p>Publication: Construction-Planning Models in Minecraft. Julia Wichlacz, Alvaro Torralba, Joerg Hoffmann, Hierarchical Planning Workshop at ICAPS 2019.</p>
Text-fig. 7. Plan for expansion of museum from 1924. (City council Lázně Bělohrad, construction board, construction documentation, parcel no. 191.). / Plán přístavby muzea z roku 1924. (Městský úřad Lázně Bělohrad, stavební úřad, stavební dokumentace k č. p. 191.). in Frič Museum In Lázně Bělohrad
Text-fig. 7. Plan for expansion of museum from 1924. (City council Lázně Bělohrad, construction board, construction documentation, parcel no. 191.). / Plán přístavby muzea z roku 1924. (Městský úřad Lázně Bělohrad, stavební úřad, stavební dokumentace k č. p. 191.).
Text-fig. 6. Geological plan of Malo-Mikhaylovka. 1 – andesito-dacite; 2 – coarse-grained tuff; 3 – argillitic tuffite; 4 – tuffitic sandstone; 5 – lignite, coal clay; 6 – lenses of tuffitic conglomerate; 7 – acidic tuff; 8 – dacite; 9 – andesito-basalt; 10 – basalt; 11 – sandstone; 12 – andesite; 13 – break; 14 – inclination/direction of beds; 15 – plant-bearing levels; 16 – talus. in Mid-Latitude Palaeogene Floras Of Eurasia Bound To Volcanic Settings And Palaeoclimatic Events - Experience Obtained From The Far East Of Russia (Sikhote-Alin') And Central Europe (Bohemian Massif)
Text-fig. 6. Geological plan of Malo-Mikhaylovka. 1 – andesito-dacite; 2 – coarse-grained tuff; 3 – argillitic tuffite; 4 – tuffitic sandstone; 5 – lignite, coal clay; 6 – lenses of tuffitic conglomerate; 7 – acidic tuff; 8 – dacite; 9 – andesito-basalt; 10 – basalt; 11 – sandstone; 12 – andesite; 13 – break; 14 – inclination/direction of beds; 15 – plant-bearing levels; 16 – talus.
Text-fig. 12. Geological plan of the Velikaya Kema plant-bearing locality (4 km north of Velikaya Kema village). 1 – basalt with flaggy flows; 2 – massive basalt; 3 – andesite with flaggy flows; 4 – andesite-basalt; 5 – trachyte, 6 – felsite; 7 – agglomerate, basalt and andesite; 8 – tuff coarse-grained; 9 – conglomerate; 10 – thin layers of andesitic tuff; 11 – tuffite, tuffaceous argillite, diatomite; 12 – plant bearing levels. in Mid-Latitude Palaeogene Floras Of Eurasia Bound To Volcanic Settings And Palaeoclimatic Events - Experience Obtained From The Far East Of Russia (Sikhote-Alin') And Central Europe (Bohemian Massif)
Text-fig. 12. Geological plan of the Velikaya Kema plant-bearing locality (4 km north of Velikaya Kema village). 1 – basalt with flaggy flows; 2 – massive basalt; 3 – andesite with flaggy flows; 4 – andesite-basalt; 5 – trachyte, 6 – felsite; 7 – agglomerate, basalt and andesite; 8 – tuff coarse-grained; 9 – conglomerate; 10 – thin layers of andesitic tuff; 11 – tuffite, tuffaceous argillite, diatomite; 12 – plant bearing levels.
Galvanising the Open Access Community: A Study on the Impact of Plan S - Data and Code
<div> <div> <div> <div> <p>This repository contains the datasets and code underpinning <em>Chapter 3 "Counterfactual Impact Evaluation of Plan S"</em> of the report <em>"Galvanising the Open Access Community: A Study on the Impact of Plan S"</em> commissioned by the cOAlition S to scidecode science consulting.</p> <p>Two categories of files are part of this repository:</p> <p><strong>1. Datasets <br></strong></p> <p>The 21 CSV source files contain the subsets of publications funded by the funding agencies that are part of this study. These files have been provided by <em>OA.Works</em>, with whom scidecode has collaborated for the data collection process. Data sources and collection and processing workflows applied by <em>OA.Works</em> are described on their website and specifically at <a href="https://about.oa.report/docs/data">https://about.oa.report/docs/data</a>.</p> <p>The file "plan_s.dta" is the aggregated data file stored in the format ".dta", which can be accessed with <em>STATA </em>by default or with plenty of programming languages using the respective packages, e.g., <em>R</em> or <em>Python</em>. </p> <p><strong>2. Code files</strong></p> <p>The associated code files that have been used to process the data files are:</p> <pre> - data_prep_and_analysis_script.do<br> - coef_plots_script.R</pre> <p>The first file has been used to process the CSV data files above for data preparation and analysis purposes. Here, data aggregation and data preprocessing is executed. Furthermore, all statistical regressions for the ounterfactual impact evaluation are listed in this code file. The second code file "coef_plots_script.R" uses the computed results of the counterfactual impact evaluation to create the final graphic plots using the <em>ggplot2 </em>package.</p> <p>The first ".do" file has to be run in STATA, the second one (".R") requires the use of an integrated development environment for R. </p> Further Information are avilable in the final report and via the followng URLs:<br> <pre><a href="https://www.coalition-s.org/">https://www.coalition-s.org/</a> <a href="https://scidecode.com/">https://scidecode.com/</a> <a href="https://oa.works/">https://oa.works/</a> <a href="https://openalex.org/">https://openalex.org/</a><br><a href="https://sites.google.com/view/wbschmal">https://sites.google.com/view/wbschmal</a> </pre> </div> </div> </div> </div>
Fig. 5 in The youngest ctenocystoids from the Upper Ordovician of the United Kingdom and the evolution of the bilateral body plan in echinoderms
Fig. 5. Reconstructions of two possible modes of life of Conollia. A. A semi-infaunal mode of life. B. An infaunal mode of life. Adapt- ed from Domínguez Alonso (2004).
Fig. 2 in The youngest ctenocystoids from the Upper Ordovician of the United Kingdom and the evolution of the bilateral body plan in echinoderms
Fig. 2. Stratigraphical position (A) and geographical location (B) of the site where Conollia sporranoides sp. nov. was collected. Adapted from Ingham (1992).
Fig. 3 in The youngest ctenocystoids from the Upper Ordovician of the United Kingdom and the evolution of the bilateral body plan in echinoderms
Fig. 3. Ctenocystoid echinoderm Conollia sporranoides sp. nov. from the Upper Ordovician of Scotland, UK. A. GLAHM 131255/1, partial specimen. B. GLAHM 131255/2, complete specimen. C. GLAHM 131255/3, partial ctenidium in lateral view. D. GLAHM 131255/4, partial ctenidium in adoral view. E. GLAHM 131255/5, partial ctenidium. F. GLAHM 131255/6, partial ctenidium. G. GLAHM 131255/7, complete ctenidium in anterior view. H. GLAHM 131255/8, partial ctenidium in anterior view. I. GLAHM 131255/9, partial ctenidium in anterior view. Photographs of original specimens (A, B), latex casts whitened with ammonium chloride sublimate (C–F), and virtual reconstructions (G–I). Abbreviations: as, articulations for serrated spines; cp, ctenoid plates; ss, serrated spines; ts, thecal spines.
Fig. 1. Representative Cambrian ctenocystoid echinoderms. A, B in The youngest ctenocystoids from the Upper Ordovician of the United Kingdom and the evolution of the bilateral body plan in echinoderms
Fig. 1. Representative Cambrian ctenocystoid echinoderms. A, B. Ctenocystis utahensis Robison and Sprinkle, 1969 from Cambrian Series 3 of the United States. USNM 163252 in dorsal (A 1) and anterior (A 2) views; USNM 595079 in right lateral view (B). C. Undescribed ctenocystoid (Ctenocystoid gen. et sp. nov 1 in Smith et al. 2013) from Cambrian Series 3 of Morocco. NHMUK EE 15428 in dorsal view. D. Courtessolea moncereti Domínguez Alonso, 2004 from Cambrian Series 3 of France. MNHN F.A45783 in dorsal view. E. Courtessolea sp. from Cambrian Series 3 of Spain. MPZ 2009/1234b in ventral view. F. Undescribed ctenocystoid (Ctenocystoid gen. et sp. nov 2 in Smith et al. 2013) from Cambrian Series 3 of Morocco. NHMUK EE 15317 in ventral view. G, H. Jugoszovia archaeocyathoides Dzik and Orłowski, 1995 from Cambrian Series 3 of Poland. ZPAL Ec1/9 in ventral view (G); ZPAL Ec1/1 in anterior view (H). All specimens are latex casts whitened with ammonium chloride sublimate.
Fig. 1 in Working towards a conservation plan for fish parasites: Cyprinid parasites from the south African cape fold freshwater ecoregion as a case study
Fig. 1. Map illustrating localities where the five cyprinid hosts were collected in the Cape Fold ecoregion in the Western Cape, South Africa.
Fig. 7 in Working towards a conservation plan for fish parasites: Cyprinid parasites from the south African cape fold freshwater ecoregion as a case study
Fig. 7. Rarefaction/extrapolation curve estimating the diversity of parasites as a function of sampling effort for three of the five hosts collected in the OlifantsDoorn River System, Western Cape Province, South Africa. Shaded area represents the 95% confidence interval obtained using the bootstrap method based on 100 repetitions. Created using iNEXT Online (Chao et al., 2016).
Fig. 4 in Working towards a conservation plan for fish parasites: Cyprinid parasites from the south African cape fold freshwater ecoregion as a case study
Fig. 4. Pseudobarbus calidus (Barnard, 1938) (max. length: 125 mm) (A). Sclerites of Paradiplozoon sp. from the gills (B). Acanthocephala from the body cavity, whole specimen (C) and hooks on proboscis (top left insert). Larval Contracaecum sp. from the body cavity, anterior (D) and posterior (E) ends, lateral view. Scale bars: 100 μm (B, C, D, E).
Fig. 6 in Working towards a conservation plan for fish parasites: Cyprinid parasites from the south African cape fold freshwater ecoregion as a case study
Fig. 6. Sedercypris erubescens (Skelton, 1974) (max. length: 120 mm) (A). Larval Contracaecum sp. from the body cavity, anterior (B) and posterior (C) ends, lateral view. Scale bars: 100 μm (B, C).
Fig. 5 in Working towards a conservation plan for fish parasites: Cyprinid parasites from the south African cape fold freshwater ecoregion as a case study
Fig. 5. Pseudobarbus phlegethon (Barnard, 1938) (max. length: 65 mm) (A); Acanthogyrus sp. found from the body cavity (B). Scale bar: 500 μm.
Fig. 3 in Working towards a conservation plan for fish parasites: Cyprinid parasites from the south African cape fold freshwater ecoregion as a case study
Fig. 3. Labeobarbus seeberi (Gilchrist et Thompson, 1913) (max. length: 270 mm) (A); Myxobolus sp. (B) and Dactylogyrus sp. from the gills of L. seeberi, hamuli and marginal hooks (C), male copulatory complex (D) and vagina (E). Lateral view of Rhabdochona sp. 2 from the intestine, anterior end of female (F) and male (G), posterior end of male (H); metacercariae of Diplostomidae (I) from black cysts on skin. Scale bars: 10 μm (B); 50 μm (D, E); 100 μm (C, F, G, H, I).
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.