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1,085 results for “Documentation”
Fig. 3 in Documenting tenebrionid diversity: progress on Blaps Fabricius (Coleoptera, Tenebrionidae, Tenebrioninae, Blaptini) systematics, with the description of Fve new species
Fig. 3. Blaps maldesi Soldati sp. nov. A. ♂, habitus (dorsal view). B. ♂, habitus (lateral view). C. ♂, habitus (ventral view). D. ♂, left antenna (dorsal view). E. ♂, mucro (dorsal view). F. ♂, mucro (lateral view). G. ♀, mucro (dorsal view). H. ♂, aedeagus (ventral view). I. ♂, aedeagus (lateral view). Scale bars: A–C = 10 mm; D = 5 mm; E–G = 2 mm; H–I = 1 mm.
Fig. 1 in Documenting tenebrionid diversity: progress on Blaps Fabricius (Coleoptera, Tenebrionidae, Tenebrioninae, Blaptini) systematics, with the description of Fve new species
Fig. 1. Blaps effeminata Soldati sp. nov. A. ♂, habitus (dorsal view). B. ♂, habitus (lateral view). C. ♂, habitus (ventral view). D. ♂, left antenna (dorsal view). E. ♂, mucro (dorsal view). F. ♂, mucro (lateral view). G. ♀, mucro (dorsal view). H. ♂, aedeagus (ventral view). I. ♂, aedeagus (lateral view). Scale bars: A–C = 10 mm; D = 5 mm; E–G = 2 mm; H–I = 3 mm.
Fig. 5 in Documenting tenebrionid diversity: progress on Blaps Fabricius (Coleoptera, Tenebrionidae, Tenebrioninae, Blaptini) systematics, with the description of Fve new species
Fig. 5. Blaps teocchii Soldati sp. nov. A. ♂, habitus (dorsal view). B. ♂, habitus (lateral view). C. ♂, habitus (ventral view). D. ♂, left antenna (dorsal view). E. ♂, mucro (dorsal view). F. ♂, mucro (lateral view). G. ♀, mucro (dorsal view). H. ♂, aedeagus (ventral view). I. ♂, aedeagus (lateral view). Scale bars: A–C = 10 mm; D = 5 mm; E–G = 2 mm; H–I = 1.5 mm.
Fig. 2 in Documenting tenebrionid diversity: progress on Blaps Fabricius (Coleoptera, Tenebrionidae, Tenebrioninae, Blaptini) systematics, with the description of Fve new species
Fig. 2. Blaps intermedia Soldati sp. nov. A. ♂, habitus (dorsal view). B. ♂, habitus (lateral view). C. ♂, habitus (ventral view). D. ♂, left antenna (dorsal view). E. ♂, mucro (dorsal view). F. ♂, mucro (lateral view). G. ♀, mucro (dorsal view). H. ♂, aedeagus (ventral view). I. ♂. aedeagus (lateral view). Scale bars: A–C = 10 mm; D = 5 mm; E–I = 2 mm.
Fig. 4 in Documenting tenebrionid diversity: progress on Blaps Fabricius (Coleoptera, Tenebrionidae, Tenebrioninae, Blaptini) systematics, with the description of Fve new species
Fig. 4. Blaps nitiduloides Soldati sp. nov. A. ♂, habitus (dorsal view). B. ♂, habitus (lateral view). C. ♂, habitus (ventral view). D. ♂, left antenna (dorsal view). E. ♂, mucro (dorsal view). F. ♂, mucro (lateral view). G. ♀, mucro (dorsal view). H. ♂, aedeagus (ventral view). I. ♂, aedeagus (lateral view). Scale bars: A–C = 10 mm; D = 5 mm; E–I = 2 mm.
Visualizing linguistic variation in a network of Latin documents and scribes
<p>Gephi project files (for Gephi 0.8.x) and Sigma.JS -visualizations.</p>
Figure 3. The graphic representation of the frequencies of the specifications for the technological dimension in curricular documents--Educational Research on the Technological Dimension of Private Life
<p>There are also major differences between schooling levels (Figure 3). In the<br> gymnasium educational system (12) and high school educational system (15) there are more<br> themes concerned with the technological dimension at the level of school curricula, as<br> compared to the primary educational system (2). Also, in alternative textbooks, these themes<br> are predominant in the high school educational system (56) and the gymnasium educational<br> system (27), as compared to the primary educational system (1).</p>
IoT Application Generation Module Expert Review Documents and Results
<p>The ZIP file contains all study documents that have been used to perform an expert review of the IoT Application Generation Module which has been developed as an extension to the eSPACE end-user authoring tool.</p> <p>It also contains the results of our study which has been performed with 6 participants (see Expert Review Results Data.pdf).</p>
Documentation artifacts for conversational SRS in chatbots: a systematic review and a new meta-model proposal and validation
<p>Context: Chatbots are complex applications due to their capacity to engage and maintain a conversation with humans. However, the conversational-related requirements of chatbots are hard to elicit, document, and test. Another challenge is the documentation, since there are not so many directions on how to register and test subjective requirements. </p> <p>Methods: We followed systematic literature review (SLR) guidelines and identified 42 studies that address the artifacts used by practitioners to document conversational-related requirements in literature. We also investigated what conversational requirements are addressed in requirements documentation.</p> <p>Results: The main results indicate that UML diagrams, prototypes, tables of requirements, conversational flows, and scenarios are present in most chatbot documentation. Except for UML diagrams, those artifacts are used to document standard requirements or conversational requirements. In those artifacts, context-dependent behavior, assertivity, error handling, and human-like attitude are the most approached conversational requirements in the studies. In sequence, based on our findings, we proposed the conversational integrated map and validated it by conducting a 2-step questionnaire among software practitioners experience in requirements engineering and chatbot requirement's specification.</p> <p>Conclusion: Future studies should investigate if existing artifacts are enough to address all complex aspects of chatbots' specific conversational requirements or require further adaptation. Future studies should investigate specific SRS needs for different types of softwares.</p>
Deliverable 2.4: Biodiversity impact database including characterization factors and documentation ready for use in Module C
<p><span>We quantify the impacts of agriculture and livestock, on biodiversity (including intensity of use), and translate the results of these modeling efforts which indicate current patterns of biodiversity indicators in both South America and Africa (as well as potential biodiversity loss) to data inputs to be further used in CLEVER. </span></p>
Supplementary Material for Documentation artifacts for conversation-related requirements specification in chatbots: a systematic review and a meta-model proposal
<p>This is a supplementary data of the tertiary systematic literature review conducted in the paper "Conversation-related requirements specification in chatbots: a systematic review and a meta-model proposal".</p> <p>Context: Chatbots are complex applications due to their capacity to engage and maintain a conversation with humans. However, the conversational-related requirements of chatbots are hard to elicit, document, and test. Another challenge is the documentation since there are not so many directions on how to register and test subjective requirements.</p> <p>Methods: We followed systematic literature review (SLR) guidelines and identified 42 relevant papers that address the artifacts used by practitioners to document conversational-related requirements in literature. We also investigated what conversational requirements are addressed in requirements documentation.</p> <p>Results: The main results indicate that UML diagrams, prototypes, tables of requirements, conversational flows, and scenarios are present in most chatbot documentation. Except for UML diagrams, those artifacts are used to document standard requirements or conversational requirements. In those artifacts, context-dependent behavior, assertivity, error handling, and human-like attitude are the most approached conversational requirements in the studies. In sequence, based on our findings, we propose the conversational integrated map, a meta-model solution as documentation of conversational requirements.</p>
Documents presenting past climate change adaptations (2008 - 2020)
<p>Using a systematic review approach, we identified a global dataset of 301 reported adaptation responses of small-scale fishers to climate change. Here we show the references of the selected documents (n = 60) through the systematic review from which the adaptation responses for data analysis were extracted.</p>
musiXplora: Documentation - Data Retrieval
<h1>musiXplora: Structured Data Access</h1> <p>This documentation provides an overview of structured musiXplora data, that are now persistently accessible on Zenodo utilizing its DOI system. MusiXplora is a linked knowledge base for musicological and organological data developed and maintained by the <strong>Research Center <em>DIGITAL ORGANOLOGY</em></strong> at <strong>Leipzig University</strong>.</p> <p>Currently, the German versions are available only, but it is planned to extend this data after suitable translations were found.</p> <p>Code snippets will are provided for Python, JavaScript, and Bash (cURL), in order to assist with accessing the latest available data and retrieve the desired information efficiently.</p> <p>Rate Limits for Zenodo are listed <a href="https://developers.zenodo.org/#rate-limiting">here</a>.</p> <p>Available musiXplora-IDs with the corresponding latest DOIs are listed here: <a href="https://doi.org/10.5281/zenodo.11581620">musiXplora-Zenodo-Dictionary</a>.</p> <p>For further questions or requests, please refer to: redaktion@musixplora.de</p> <p>Version of Documentation: 0.0.1 (11 June, 2024)</p>
FIGURE 1 in Injured trilobites within a collection of dinosaurs: Using the Royal Tyrrell Museum of Palaeontology to document Cambrian predation
FIGURE 1. Gabriellus kierorum specimens from the (?)Rosella Formation. A, B. Gabriellus kierorum with truncation of left pleural spines on the fifth and sixth thoracic segment (TMP.1983.021.0034). A: Complete specimen. B: Close up of abnormality (white arrows). C–E: Gabriellus kierorum with bilaterally expressed thoracic abnormalities (TMP.1983.021.0039). C: Complete specimen. D: Close up of abnormality on the left side of the specimen (white arrows) and the partly recovered spine (black arrow). E: Close up of abnormality on the right side of the specimen (white arrows).
Рис. 2. Самец пятнистого оΛеня в ΑоΛине р. КаяΛу, 7 июΛя 2018 г. Fig. 2. Male sika deer in the valley of the Kayalu River, 7 July, 2018 in Documented Evidence Of Habitation For The Sika Deer, The Amur Leopard Cat And The Striped Field Mouse In The Bikin National Park (Russia)
Рис. 2. Самец пятнистого оΛеня в ΑоΛине р. КаяΛу, 7 июΛя 2018 г. Fig. 2. Male sika deer in the valley of the Kayalu River, 7 July, 2018
Рис. 3. Останки пятнистого оΛеня — жертвы воΛков на ΛьΑу р. Бикин в верхнем течении, 29 января 2019 г. Fig. 3. Remains of a sika deer (wolves' prey) on the ice in the upper reaches of the Bikin River, January 29, 2019 in Documented Evidence Of Habitation For The Sika Deer, The Amur Leopard Cat And The Striped Field Mouse In The Bikin National Park (Russia)
Рис. 3. Останки пятнистого оΛеня — жертвы воΛков на ΛьΑу р. Бикин в верхнем течении, 29 января 2019 г. Fig. 3. Remains of a sika deer (wolves' prey) on the ice in the upper reaches of the Bikin River, January 29, 2019
Figure 2 in Acoustic documentation of temperate odontocetes in the Bering and Chukchi Seas
Figure 2. (A) Map of the acoustic detections attributed to northern right whale dolphins at sites M2 and M5 with dotted lines denoting historical range extents. (B) A spectrogram from 10 November 2012, at M2 of a downsweeping, harmonic click/buzz at 0.5 s with is characteristic of northern right whale dolphins (despite being masked by the ping of another instrument on the mooring). Spectrogram settings are: window = Hanning, Nfft = 512, overlap = 99%, min dB = 11 dB, dB spread = 35 dB.
Figure 3 in Acoustic documentation of temperate odontocetes in the Bering and Chukchi Seas
Figure 3. (top) Map of acoustic detections attributed to Pacific white-sided dolphins at M2, M5, and CH with dotted lines denoting historical range extents. Number of files with detections each day are in parentheses if>1. (bottom) A spectrogram from 25 October 2009, at M2 of buzzes with peaks and notches as expected for Pacific white-sided dolphins according to Soldevilla et al. (2008). Spectrogram settings are: window = Hanning, Nfft = 1,024, overlap = 99%, min dB = 12 dB, dB spread = 42 dB.
Figure 1 in Acoustic documentation of temperate odontocetes in the Bering and Chukchi Seas
Figure 1. (A) Map of acoustic detections attributed to Risso's dolphins at sites M2, M5, and CH with dotted lines denoting historical range extents. (B) A spectrogram from 31 March 2010, at M2 zoomed into clicks attributed to Risso's dolphins because peaks and notches are centered near the expected frequencies reported in Soldevilla et al. (2008). Spectrogram settings are: window = Hanning, Nfft = 2,048, overlap = 99%, min dB = 10 dB, dB spread = 40 dB.
Survey on data access conditions for sensitive data - Raw Data and Documentation
<p>This Upload concerns the survey entitled “Survey on data access conditions for sensitive data” which was performed by The Dutch Open Data Infrastructure for Social Science and Economic Innovations (ODISSEI) and DANS, the Dutch national centre of expertise and repository for research data. The survey was launched in April 2024 and open until July 1st 2024. </p> <p>The goal of the survey was to gather additional information about access conditions and restrictions used by researchers using the DANS and ODISSEI services. The results of the survey can guide us to identify common conditions that should be included in a standardisation effort. Moreover, the results will improve the available guidance that DANS and ODISSEI can provide for their local research community. A comprehensive analysis of the survey and resulting recommendations will be published separately at a later point in time. </p> <p>This upload contains:</p> <ul> <li>a PDF with documentation of the survey, specifically the description and question text.</li> <li>an ODS spreadsheet with the raw data from the survey which was filled in by 46 participants. Please note that the survey was anonymous, no personal data of the respondents was collected. </li> </ul> <p>The survey was executed using EUSurvey (v1.5.3.1). EU Survey is open source and built by DG DIGIT and funded under the ISA, ISA2 and Digital Europe Programme (DIGITAL). EUSurvey is published under the EUPL licence and the source code is available from GitHub: https://github.com/EUSurvey.</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.