Find research datasets worth reusing

opencc-by-4.0Sep 2022View details →

Realizing COP26's declaration on deforestation protects forests at the expense of non-forest land

<p>Data and model source code for the manuscript: "Realizing COP26's declaration on deforestation protects forests at the expense of non-forest land"</p> <p>Abhijeet Mishra1,2,*, Florian Humpenöder1, Christopher P.O. Reyer1, Felicitas Beier1,2, Hermann Lotze-Campen1,2, and Alexander Popp1</p> <p>1 Potsdam Institute for Climate Impact Research (PIK), Member of Leibniz Association, P.O.Box 60 12 03, 14412,6<br> Potsdam, Germany<br> 2 Humboldt University of Berlin, Department of Agricultural Economics, Unter den Linden 6, 10099 Berlin,8<br> Germany</p> <p>Abhijeet Mishra<br> *mishra@pik-potsdam.de<br> September 2022</p> <p>See https://github.com/abhimishr/magpie/releases and https://github.com/magpiemodel/magpie/releases/tag/v4.5.0 for further details</p>

opencc-by-4.0Sep 2010View details →

Figure 1: Abstract Meta-Model-UNDERSTANDING SERVICE COMPOSITION WITH NON-FUNCTIONAL PROPERTIES USING DECLARATIVE MODEL-TO-MODEL TRANSFORMATIONS

<p>To de¯ne the model we ¯rst de¯ned the abstract meta-model which con-<br> tains all the processes which can be used in the application model. These are<br> used to model the behaviour of the application (see Figure 1).</p>

opencc-by-4.0Jan 2012View details →

Figure 1. Data Division for NetworkTraining-Declarative vs. Procedural Memory: Roles in Second Language Acquisition

<p>Once the historical stock prices are gathered ,now this is the time for data selection for<br> training,testing and simulating the network.In this project we took 4 years historical price of any<br> stock ,means total 1460 working days data.We done R/S analysis over these datafor<br> predictability(Hurst exponent analysis).Now The Hurst exponent (H) is a statistical measure used to<br> classify time series. H=0.5 indicates a random series while H>0.5 indicates a trend reinforcing<br> series.</p>

opencc-zeroJan 2024View details →

Linked collectors and determiners for: Description of the male of the spider Eustala vellardi Mello-Leitão, 1924, the female of E. delasmata Bryant, 1945 and seven species of Eustala Simon, 1895 declared as nomina dubia (Araneae, Araneidae).

Natural history specimen data linked to collectors and determiners held within, "Description of the male of the spider Eustala vellardi Mello-Leitão, 1924, the female of E. delasmata Bryant, 1945 and seven species of Eustala Simon, 1895 declared as nomina dubia (Araneae, Araneidae)". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/70488f4e-090b-4d3b-89d9-388bf5513818">https://bionomia.net/dataset/70488f4e-090b-4d3b-89d9-388bf5513818</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/70488f4e-090b-4d3b-89d9-388bf5513818">https://gbif.org/dataset/70488f4e-090b-4d3b-89d9-388bf5513818</a>. Formatted as a Frictionless Data package.

opencc-zeroMar 2015View details →

Artificial datasets for online Declare discovery

<p>This file contains two datasets.</p> <p><strong>1. Periodical Sudden Drifts</strong></p> <p>For this case study, we have generated two synthetic logs (<span class="math-tex">\(\mathcal{L}_1\)</span> and <span class="math-tex">\(\mathcal{L}_2\)</span>) by modeling two variants of the insurance claim process described in [1] in CPN Tools and by simulating the models. <span class="math-tex">\(\mathcal{L}_1\)</span> contains 14,840 events and <span class="math-tex">\(\mathcal{L}_2\)</span> contains 16,438 events.</p> <p>We merged the logs (eight alternations of <span class="math-tex">\(\mathcal{L}_1\)</span> and <span class="math-tex">\(\mathcal{L}_2\)</span>) using the <em>Stream Package</em> in ProM (the source code of the package is publicly available at https://svn.win.tue.nl/repos/prom/Packages/Stream/Trunk). The same package has been used to transform the resulting log into an event stream. The event stream contains 250,224 events and has several sudden concept drifts (one for every switch from <span class="math-tex">\(\mathcal{L}_1\)</span> to <span class="math-tex">\(\mathcal{L}_2\)</span>).</p> <p><strong>2. Gradual Drifts</strong></p> <p>We have considered two variants of the insurance claim process described in [1], <span class="math-tex">\(\mathcal{M}_1'\)</span> (with 21 activities) and <span class="math-tex">\(\mathcal{M}_2'\)</span> (with 19 activities). We have also designed 6 additional models <span class="math-tex">\(\mathcal{M}_a,\dots, \mathcal{M}_f\)</span> to represent the intermediate steps to go from <span class="math-tex">\(\mathcal{M}_1'\)</span> to <span class="math-tex">\(\mathcal{M}_2'\)</span>. Therefore, <span class="math-tex">\(\mathcal{M}_1'\)</span> and <span class="math-tex">\(\mathcal{M}_a\)</span> are very similar and the same happens for <span class="math-tex">\(\mathcal{M}_a\)</span> compared to <span class="math-tex">\(\mathcal{M}_b\)</span>, for <span class="math-tex">\(\mathcal{M}_b\)</span> compared to <span class="math-tex">\(\mathcal{M}_c\)</span>, and so on. We have simulated these models generating 8 logs (<span class="math-tex">\(\mathcal{L}_1', \mathcal{L}_a, \dots,\mathcal{L}_f, \mathcal{L}_2'\)</span>). <span class="math-tex">\(\mathcal{L}_1'\)</span> contains 139,938 events, <span class="math-tex">\(\mathcal{L}_2'\)</span> contains 128,696 events and <span class="math-tex">\(\mathcal{L}_a,\dots,\mathcal{L}_f\)</span> contain 77,231 events (altogether).</p> <p>Using the <em>Stream Package</em>, we have generated an event stream containing 345,865 events.</p> <p> </p> <p><strong>References</strong></p> <ol> <li>R. J. C. Bose, “Process Mining in the Large: Preprocessing, Discovery, and Diagnostics,” Ph.D. dissertation, Eindhoven University of Technology, 2012.</li> </ol>

opencc-zeroJul 2015View details →

Artificial datasets for multi-perspective Declare analysis

<p>This file contains the dataset we used for the evaluation of the multi-perspective Declare analysis.</p> <p><strong>Logs</strong></p> <p>In particular, it contains logs with different sizes and different trace lengths. We generated traces with 10, 20, 30, 40, and 50 events and, for each of these lengths, we generated logs with 25000, 50000, 75000, and 100000 traces. Therefore, in total, there are 20 logs.</p> <p><strong>Declare models</strong></p> <p>In addition, the dataset contains 10 Declare models. In particular, we prepared two models with 10 constraints, one only containing constraints on the control-flow (without conditions on data and time), and another one including real multi-perspective constraints (with conditions on time and data). We followed the same procedure to create models with 20, 30, 40, and 50 constraints.</p>

opencc-by-4.0May 2022View details →

Non-linear susceptibility to interferences in declarative memory formation

<p>After encoding, memories go through a labile state followed by a stabilization process known as consolidation. Once consolidated they can enter a new labile state after the presentation of a reminder of the original memory, followed by a period of re-stabilization (reconsolidation). During these periods of lability the memory traces can be modified. Currently, some studies show a rapid stabilization after 30 min, while others show that stabilization occurs after longer periods (e.g. > 6 h). Here we investigate the effect of an interference treatment on declarative memory consolidation, comparing distinct time intervals after acquisition. On day 1, participants learned a list of non- syllable pairs (List 1). 5 min, 30 min, 3 h or 8 h later, they received an interference list (List 2) that acted as an amnesic agent. On day 2 (48 h after training) participants had to recall List 1 first, followed by List 2. We found that the List 1 memory was susceptible to interference when List 2 was administered 5 min or 3 h after learning but not when it was administered 30 min or 8 h after. We propose the possibility that this rapid memory protection could be induced by a fast and transient neocortical integration. Our results open a discussion about the contribution of molecular and systemic aspects to memory consolidation.</p>

opencc-by-4.0Jun 2024View details →

Towards Immersive Process Simulation for Declarative Models - Accompanying Material

<div>This dataset contains the research protocol, transcripts and codings for the paper “Towards Immersive Process Simulation for Declarative Models.” Accepted for publication at the International Conference on Business Process Management - Forum. 2024.</div> <div> </div> <div>The documents are ordered by number. We describe their contents below:</div> <div> </div> <div>1. Appendix A - Consent Form used in research and validation interviews in section 4 and section 6</div> <div>2. Appendix B - DCR Training Material used to familiarize the research participants with DCR in section 4</div> <div>3. Appendix C - Elicitation Interview Script & Validation Session Interview Protocol used in sections 4 and 6</div> <div>4. Appendix D - First round of coding of Elicitation interviews</div> <div>5. Appendix E - Second round of coding of Elicitation interviews</div> <div>6. Appendix F - Third round of coding of Elicitation interviews</div> <div>7. Appendix G - First round of coding of Validation interviews</div> <div>8. Appendix H - Second round of coding of Validation interviews</div> <div>9. Appendix I1 - Third round of coding of Validation interviews, part 1</div> <div>10. Appendix I2 - Third round of coding of Validation interviews, part 2</div> <div>11. Appendix J - Validation participant DCR graph representation preferences: questionnaire and answers</div> <p>Moreover, we included all the transcripts of the interviews in raw form. </p> <div>The file transcript_ideation.pdf contains the transcripts of the requirement elicitation interviews conducted during the research phase.</div> <div>The file transcript_validation.pdf contains the the transcripts of the validation interviews.</div> <p> </p> <p>The github repository https://github.com/GloriousHypnotoad/DCR-Graph-artifact contains the source code of the software artifact used in the paper.</p>

opencc-by-4.0Dec 2022View details →

Resources of "Declarative RDF Graph Construction: Materialization or Virtualization?"

<p>Resources for the paper "Declarative RDF Graph Construction: Materialization or Virtualization?", currently under double-blind review, thus all information about the authors is redacted.</p> <ul> <li><code>GTFS-MADRID-BENCH.tar.xz</code>: GTFS Madrid Bench with scales 1, 25, 50</li> <li><code>BSBM.tar.xz</code>: BSBM benchmark with scales 5000, 10000, 15000</li> <li>SANTA: <ul> <li><code>PARALLEL-LOADING.tar.xz</code>: parallel loading parameter data with 1, 8, 16, 24, 32 cores.</li> <li><code>DUPLICATES.tar.xz</code>: duplicate values parameter data with 0%, 25%, 50%, 75% and 100% of the data containing duplicates.</li> <li><code>EMPTY-VALUES.tar.xz</code>: empty values parameter data with 0%, 25%, 50%, 75% and 100% of the data containing empty values.</li> <li><code>RAW-DATA.tar.xz</code>: scaling among data records & properties parameter data with 1000, 5000, 25000, 125000 records and 1, 5, 10, 15 properties.</li> <li><code>JOIN-1_1.tar.xz</code>: Join 1-1 data.</li> <li><code>JOIN-1-N.tar.xz</code>: Join 1-N data with relationship N: 3, 5, 10, 15.</li> <li><code>JOIN-N-1.tar.xz</code>: Join N-1 data with relationship N: 3, 5, 10, 15.</li> <li><code>JOIN-N-M.tar.xz</code>: Join N-M data with relationships N-M: 3-3, 3-5, 5-3, 10-5, 5-10.</li> <li><code>JOIN-DUPLICATES.tar.xz</code>: Join duplicates data with 0%, 25%, 50%, 75%, 100% of the joins generating duplicates.</li> <li><code>MAPPINGS.tar.xz</code>: Triples Maps & Predicate Object Maps mapping rules impact parameter data with 1 TM + 15 POMs, 15 TMs + 1 POM, 3 TMs + 5 POMs, 5 TMs + 3 POMs.</li> </ul> </li> <li>Graphs <ul> <li>GTFS-graphs.pdf: GTFS-Madrid-Bench query execution time graph in full resolution</li> <li>BSBM-graphs.pdf: BSBM query execution time graph in full resolution</li> </ul> </li> </ul> <p><strong>Note</strong>: These archives are heavily compressed, make sure you have enough disk space to unpack them.</p> <p>Our <a href="https://github.com/blindreviewing/eswc2023-materialization-virtualization">bench-executor tool</a> can execute these automatically for you, you need to set the <code>--root</code> parameter to the root directory of the unpacked archive and execute them with the <code>run</code> command or list them all with the <code>list</code> command. Extensive instructions on how to use the tool are available in the README of the linked repository.</p>

opennotspecifiedDec 2011View details →

FIGURES 3–8. Neobonzia moseri Smiley, 1992 in The genus Coleobonzia declared synonymous with Neobonzia Smiley, 1992 (Bdelloidea: Cunaxidae: Coleoscirinae)

FIGURES 3–8. Neobonzia moseri Smiley, 1992. (3) Entire specimen; (4) Gnathosoma and leg I; (5) Idiosoma and sensillae; (6) Legs I and II; (7) Hysterosoma and leg IV; (8) Hysterosoma, legs III and IV.

FIGURE 3 in Taxonomic status of Podabrus albocaudatus Krefft, 1872 and declaration of Sminthopsis granulipes Troughton, 1932 (Marsupialia: Dasyuridae) as a protected name for the White-tailed Dunnart from Western Australia

FIGURE 3. Holotype alcoholic body of Sminthopsis granulipes, PA.669, with metal registration tag attached to right manus. Scale rule in cms. (Photo: Anja Divljan).

FIGURE 2 in Taxonomic status of Podabrus albocaudatus Krefft, 1872 and declaration of Sminthopsis granulipes Troughton, 1932 (Marsupialia: Dasyuridae) as a protected name for the White-tailed Dunnart from Western Australia

FIGURE 2. Holotype skull and mandible of Sminthopsis granulipes, PA.669. Scale bar = 5 mm. (Photo: Sally Cowan).

FIGURE 4 in Taxonomic status of Podabrus albocaudatus Krefft, 1872 and declaration of Sminthopsis granulipes Troughton, 1932 (Marsupialia: Dasyuridae) as a protected name for the White-tailed Dunnart from Western Australia

FIGURE 4. Plantar view of the right pes of the holotype of Sminthopsis granulipes, AM PA.669. Scale bar = approximately 1 mm. (Photo: Stuart Humphreys, Australian Museum).

FIGURE 1 in Taxonomic status of Podabrus albocaudatus Krefft, 1872 and declaration of Sminthopsis granulipes Troughton, 1932 (Marsupialia: Dasyuridae) as a protected name for the White-tailed Dunnart from Western Australia

FIGURE 1. Palmer register entry for AM PA.669, Podabrus albocaudatus, indicated by arrows, with entries by subsequent Museum staff. The column headings from the left are: registration number, scientific name, collecting locality, how acquired, collector/donor's name, remarks. (Photo: Australian Museum Archives).

opennotspecifiedDec 2017View details →

FIGURE 19 in Description of the male of the spider Eustala vellardi Mello-Leitão, 1924, the female of E. delasmata Bryant, 1945 and seven species of Eustala Simon, 1895 declared as nomina dubia (Araneae, Araneidae)

FIGURE 19. Distribution records of Eustala vellardi Mello-Leitão, 1924 (blue circles) and E. delasmata Bryant, 1945 (red triangles).

opennotspecifiedDec 2017View details →

FIGURES 1–9 in Description of the male of the spider Eustala vellardi Mello-Leitão, 1924, the female of E. delasmata Bryant, 1945 and seven species of Eustala Simon, 1895 declared as nomina dubia (Araneae, Araneidae)

FIGURES 1–9. Eustala vellardi Mello-Leitão, 1924. 1, 2, Male palp (1, mesal; 2, ventral). 3, Male habitus, dorsal. 4–7, Epigynum (4, 7, ventral; 5, posterior; 8, lateral). 6, 9 Female habitus, dorsal (9, holotype). Abbreviations: A, Terminal apophysis; C, Conductor; E, Embolus; LP, Lateral plate; M, Median apophysis; MP, Median plate; PME, Posterior median eyes; r, Radix; S, subterminal apophysis; Sc, Scape; st, Stipes; T, Tegulum. Scale bars, 1, 2, 4, 5, 7, 8, 0.25 mm; 3, 6, 9, 0.5 mm.

opennotspecifiedDec 2017View details →

FIGURES 10–18. Eustala delasmata Bryant, 1945. 10, 11 in Description of the male of the spider Eustala vellardi Mello-Leitão, 1924, the female of E. delasmata Bryant, 1945 and seven species of Eustala Simon, 1895 declared as nomina dubia (Araneae, Araneidae)

FIGURES 10–18. Eustala delasmata Bryant, 1945. 10, 11, Male palp (10, mesal; 11, ventral). 12, Male habitus, dorsal. 13–15, Epigynum (13, ventral; 14, posterior; 15, lateral). 16, Female habitus, dorsal. Eustala andina Chamberlin, 1916. 17, 18 female habitus (17, dorsal; 18, ventral). Scale bars, 10, 11, 13–15, 0.25 mm; 16–18, 0.5 mm.