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1,036 results for “Modernization”

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zenodo44/100

Phrasal repetitions in early modern drama

<p>This spreadsheet lists play pairs of the early modern period according to a variety of n-gram weighting measures in Martin Mueller&rsquo;s corpus Shakespeare His Contemporaries</p>

opencc-by-4.0Apr 2017View details →
zenodo44/100

GLOBALISE Early Modern Map Collection

This repository is part of the GLOBALISE project, offering access to colonial-era map collections from the Dutch National Archive (and in future other heritage institutions). These collections include significant maps created during the 17th and 18th centuries, depicting regions under Dutch colonial influence. The repository provides scripts for preparing these maps for enrichment by creating IIIF Manifests and Collections, making them accessible for georeferencing, annotation, and further research in the GLOBALISE project and beyond. Additionally, the repository includes pilot projects for automated enrichments of the maps. These are work in progress.

opencc-by-4.0Sep 2024View details →
zenodo44/100

Named-Entity Recognition for Modern Tibetan Newspapers: Tagset, Guidelines and Training Data

<p>This dataset, tagset and guidelines were the output&nbsp;of a six-month incubator project on the feasibility of developing Named-Entity Recognition (NER) for modern Tibetan, primarily for use with contemporary Tibetan-language newspapers and media published inside the PRC.&nbsp;The project was carried out by the Mongolian and Inner Asian Studies Unit at Cambridge University&rsquo;s Department of Social Anthropology. It was funded by an incubator grant from Cambridge Language Sciences. The project title was&nbsp;&ldquo;Named-Entity Recognition in Tibetan and Mongolian Newspapers.&rdquo; The Project PI was Dr Hildegard Diemberger (Cambridge),&nbsp;the Coordinator and Lead Author was Dr Robert Barnett (SOAS), and Senior Advisers were Dr Nathan Hill (SOAS), Dr Marieke Meelen (Cambridge), and Dr Thomas White (Cambridge).&nbsp;<br> <br> Although some forms of NER and other NLP procedures have been developed within China for modern Tibetan (see Liu, Nuo <em>et al</em>, 2011), the data underlying those initiatives have not been made publicly available and their findings cannot be tested or reproduced. Significant work on developing NLP for Tibetan has been carried out outside China, but has focused largely on classical Tibetan and religious texts (see Hill &amp; Garrett, Edward, 2017).&nbsp;</p> <p>The Cambridge incubator project therefore produced a tagset, guidelines and training data for developing NER for modern Tibetan, with a focus on historical and political analysis of contemporary newspapers, media and other public documents in Tibetan. We compiled 3.11m syllables of data in Tibetan extracted from articles downloaded from Chinese-language news aggregator sites within China, primarily tibet.cpc.people.com.cn and tibet.people.com.cn. From this data, we selected texts containing 280,000 syllables in Tibetan, grouped in 26,000 utterances/sentences (available on request). Using Lighttag, an online annotation site, we developed a tagset for NER consisting of 17 tags (and one for wrong segmentation if using segmented data). We annotated approximately 186,000 syllables, leading to 9,884 annotations. Of these, after discounting flawed data, we produced training data containing c.6,700&nbsp;annotations.&nbsp; We carried out the secondary, manual review offline (for our method of converting Lighttag&nbsp;data for offline review, see the attached report &ldquo;Using Spreadsheets to Review Annotations Offline.pdf&rdquo;), and found an error rate of 3.6%. The final total of reviewed annotations was 6,624.&nbsp;</p> <p>The dataset, tagset, guidelines and reports were developed and documented by Robert Barnett, with assistance from Tsering Samdrup, Dr Hill and Dr Meelen. Primary annotation was by Tsering Samdrup, assisted by Dr Barnett.<br> <br> The datasets published here include:&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;</p> <ol> <li>The <strong>tagseet guidelines and annotation manual</strong>, including the 17-tag tagset, guidelines, and recommendations&nbsp;(&quot;NER for Modern Tibetan-tagset and guidelines.pdf&quot;).</li> <li>The <strong>tagged training data </strong>in .csv format (&quot;Tibetan NER Training Data-tagged, reviewed wth context-v10-UTF-8.csv&quot;) and .xls format (&quot;Tibetan NER Training Data-tagged with context-v10-UTF-8.xlsx&quot;). This includes&nbsp;6,624&nbsp;reveiwed annotations, arranged according to the Tibetan alphabet&nbsp;together&nbsp;with the tags and context (utterance) for each annotation.</li> <li>The <strong>raw annotation results </strong>downloaded&nbsp;from Lighttag as .json files&nbsp;(&quot;Raw Training Data for NER in Modern Tibetan -Jobs2-11-JSON.zip&quot;) and as .xls files&nbsp;(&quot;Training Data for NER in Modern Tibetan -Jobs2-11-XLS.zip&quot;). These include&nbsp;10 &quot;tasks&quot; or datasets of articles scraped from Tibetan-language websites within Tibet.&nbsp;&nbsp;&nbsp;&nbsp;</li> <li>A <strong>guide to preparing Lighttag annotation results for manual review offline </strong>(&ldquo;Using Spreadsheets to Review Annotations Offline.pdf&rdquo;).</li> </ol> <p>The project&#39;s findings regarding the status of NER and NLP for vertical Mongolian are available at DOI: 10.5281/zenodo.5103499.</p>

opencc-by-4.0Aug 2021View details →
zenodo44/100

MaMo online Webinar Cycle "Materializing Modernity - Landscape, Architecture and Anthropology intersections in 20th-century rurality"

<p>A dataset (WP2-B_Materials_1) containing the video recordings of the MaMo Webinar Cycle titled &ldquo;Materializing Modernity: Landscape, Architecture and Anthropology intersections in 20th-century rurality&rdquo; held on the ZOOM platform in April and May 2021. Activity developed under the Work Package 2 (WP2), Secondment period at Universit&agrave; degli Studi di Milano (UNIMI), Italy. All the events have been organized by Dr Federica Pompejano (MSCA-IF Fellow) in collaboration with the Laboratory of Ethnomusicology and Visual Anthropology (LEAV) of the Department of Cultural and Environmental Heritage (UNIMI) and the Institute of Cultural Anthropology and Art Studies (IAKSA) of the Akademia e Studimeve Albanologjike (ASA), Tirana, Albania.</p> <p>WP2-B_Materials_1 (PART 1) - Contents</p> <ul> <li>Programme of the MaMo Webinar Cycle &quot;Materializing Modernity: Landscape, Architecture and Anthropology intersections in 20th-century rurality&quot; held in April-May 2021 on ZOOM online platform</li> <li>Banner of the MaMo Webinar Cycle &quot;Materializing Modernity: Landscape, Architecture and Anthropology intersections in 20th-century rurality&quot; held in April-May 2021 on ZOOM online platform</li> <li>1st meeting - Introduction: MaMo - an introduction to Albanian Socialist and Post-Socialist rurality by Federica Pompejano, MSCA-IF Fellow, Department of Ethnology, Institute of Cultural Anthropology and Art Studies (IAKSA), Academy of Albanian Studies, Albania<br> Oral presentation: &quot;The Albanian Village as an anthropological encounter of modernity&quot; by Nebi Bardhoshi, Associate Professor and Director of the Institute of Cultural Anthropology and Art Studies (IAKSA), Academy of Albanian Studies, and Olsi Lelaj, Researcher, Department of Ethnology, IAKSA, Academy of Albanian Studies, Albania</li> <li>MaMo Webinar Cycle - 1st meeting banner</li> <li>MaMo Webinar Cycle - 1st meeting poster with oral presentation abstract</li> <li>MaMo Webinar Cycle - 1st meeting poster with oral presenters short bio</li> <li>MaMo Webinar Cycle - 1st meeting Instagram post</li> <li>2nd meeting - Oral presentation: &quot;Exploring Rurality in Southern Italy: the experience of &#39;Sonic Ethnography&#39;&quot; by Nicola Scaldaferri, Associate Professor, Department of Cultural and Environmental Heritage, Universit&agrave; Statale di Milano, Italy, and Lorenzo Ferrarini, Lecturer in Social and Visual Anthropology, Granada Centre for Visual Anthropology, University of Manchester, United Kingdom</li> <li>MaMo Webinar Cycle - 2nd&nbsp;meeting banner</li> <li>MaMo Webinar Cycle - 2nd&nbsp;meeting poster with oral presentation abstract</li> <li>MaMo Webinar Cycle - 2nd&nbsp;meeting poster with oral presenters short bio</li> <li>MaMo Webinar Cycle - 2nd&nbsp;meeting Instagram post</li> </ul>

opencc-by-4.0Apr 2021View details →
zenodo44/100

A unified genealogy of modern and ancient genomes: Unified, inferred tree sequences of 1000 Genomes, Human Genome Diversity, and Simons Genome Diversity Projects

<p>Unified, inferred tree sequences built from&nbsp;the 1000 Genomes phase 3, Human Genome Diversity, and Simons Genome Diversity Projects. Each tree sequence is the arm of an autosome (the short arm of acrocentric chromosomes are not included).&nbsp;Tree sequences were inferred using&nbsp;<a href="https://tsinfer.readthedocs.io/">tsinfer</a>&nbsp;version 0.2.1,&nbsp;dated using&nbsp;<a href="https://tsdate.readthedocs.io/en/latest/">tsdate</a> version 0.1.4&nbsp;and compressed using&nbsp;<a href="https://tszip.readthedocs.io/en/stable/">tszip</a>. All data is in GRCh38.</p> <p>The full data pipeline used to generate these tree sequences and associated metadata is available on&nbsp;<a href="https://github.com/awohns/unified_genealogy_paper">GitHub</a>. A description can be found in the Supplementary Material of <a href="https://www.biorxiv.org/content/10.1101/2021.02.16.431497v2">Wohns et al. (2021)</a>.</p> <p>Tree sequences can&nbsp; be decompressed as follows:</p> <pre><code>$ tsunzip hgdp_tgp_sgdp_chr1_p.dated.trees.tsz</code></pre> <p>Once decompressed, trees files can be loaded and processed in Python using&nbsp;<a href="https://tskit.readthedocs.io/">tskit</a>.&nbsp;</p> <pre><code>import tskit ts = tskit.load("hgdp_tgp_sgdp_chr1_p.dated.trees") # ts is an instance of tskit.TreeSequence print("The short arm of chromosome 1 contains {} trees".format(ts.num_trees))</code></pre> <p>Metadata associated with nodes contain&nbsp;the mean and variance of tsdate&#39;s posterior distribution on node time. To access these values, we can use:</p> <pre><code>import json node = ts.node(10000) metadata_dict = json.loads(node.metadata) print("The mean of the posterior distribution on the age of node 10000 is {} generations".format(metadata_dict["mn"])) print("The variance of the posterior distribution on the age of node 10000 is {} generations".format(metadata_dict["vr"]))</code></pre> <p>Age estimates for&nbsp;each variant site can be derived from the mean of the age estimates of the&nbsp;upper and lower bounding nodes of the oldest mutation associated with a site. tsdate includes <a href="https://tsdate.readthedocs.io/en/latest/python-api.html?highlight=sites_time_from_ts#tsdate.sites_time_from_ts">a function to find the age estimates of all sites in the tree sequence</a>:</p> <pre><code>import tsdate site_times = tsdate.sites_time_from_ts(ts, node_selection='arithmetic')</code></pre> <p>This returns a numpy array which has a length equal to the number of sites.</p> <p>Accessing variant sites in the tree sequence provides&nbsp;the position and id of variants:</p> <pre><code>site = ts.site(1000) site_metadata = json.loads(site.metadata) print("The position of site 1000 is {} and its ID is {}.".format(site.position, site_metadata["ID"]))</code></pre> <p>Metadata associated with individuals and populations was derived from the original sources (<a href="http://ftp.1000genomes.ebi.ac.uk/vol1/ftp/technical/working/20130606_sample_info/20130606_g1k.ped">TGP</a>, <a>HGDP</a>, and <a href="https://sharehost.hms.harvard.edu/genetics/reich_lab/sgdp/SGDP_metadata.279public.21signedLetter.samples.txt">SGDP</a>)&nbsp;and converted to JSON form. For example, to access individual metadata we can use:</p> <pre><code>ind = ts.individual(0) metadata_dict = json.loads(ind.metadata)</code></pre> <p>The metadata_dict variable will now contain&nbsp;all the metadata for the individual with ID 0 as a dictionary. Metadata associated with populations can be found in a similar way. Population IDs are associated with individuals via their constituent nodes. For example,</p> <pre><code>pop_metadata = [json.loads(pop.metadata) for pop in ts.populations()] ind_node = ts.node(ind.nodes[0]) ind_pop_metadata = pop_metadata[ind_node.population]</code></pre> <p>After this, the&nbsp;ind_pop_metadata variable will contain the population level metadata for individual ID 0.</p>

opencc-by-4.0Sep 2021View details →
zenodo44/100

MaMo Webinar Cycle "Materializing Modernity: Landscape, Architecture and Anthropology intersections in 20th-century rurality" - Part 2

<p>A dataset (WP2-B_Materials_2) containing the video recordings of the MaMo Webinar Cycle titled &ldquo;Materializing Modernity: Landscape, Architecture and Anthropology intersections in 20th-century rurality&rdquo; held on the ZOOM platform in April and May 2021. Activity developed under the Work Package 2 (WP2), Secondment period at Universit&agrave; degli Studi di Milano (UNIMI), Italy. All the events have been organized by Dr Federica Pompejano (MSCA-IF Fellow) in collaboration with the Laboratory of Ethnomusicology and Visual Anthropology (LEAV) of the Department of Cultural and Environmental Heritage (UNIMI) and the Institute of Cultural Anthropology and Art Studies (IAKSA) of the Akademia e Studimeve Albanologjike (ASA), Tirana, Albania.</p> <p>WP2-B_Materials_2&nbsp;(PART 2) - Contents</p> <ul> <li>3rd meeting - Oral presentation 1: &quot;Embedding the Past into Modernist Rural Landscapes&quot; by Cristina Pallini, Associate Professor, Department of Architecture, Built Environment and Construction Engineering, Politecnico di Milano, Italy - Oral presentation 2: &quot;Figures in a landscape: notes for a history of rural planning and village design in the Eastern bloc&quot; by Axel Fischer, Associate Professor p.t., Universit&eacute; libre de Bruxelles, School of Architecture La Cambre Horta, hortence lab for architectural history, theory and criticism, Belgium (WP2-B_Webinar_03W.mpeg)</li> <li>MaMo Webinar Cycle - 3rd meeting banner (WP2-B_Webinar-03W_Banner.jpg)</li> <li>MaMo Webinar Cycle - 3rd meeting poster with oral presentation abstract - 1 (WP2-B_Webinar_03W-Poster1.jpg)</li> <li>MaMo Webinar Cycle - 3rd meeting poster with oral presentation abstract - 2 (WP2-B_Webinar_03W-Poster2.jpg)</li> <li>MaMo Webinar Cycle - 3rd meeting poster with oral presenters short bio (WP2-B_Webinar_03W-Poster3.jpg)</li> <li>MaMo Webinar Cycle - 3rd meeting Instagram post - 1 (WP2-B_Webinar_03W_IG1.jpg)</li> <li>MaMo Webinar Cycle - 3rd meeting Instagram post - 2 (WP2-B_Webinar_03W_IG2.jpg)</li> </ul>

opencc-by-4.0Apr 2021View details →
zenodo44/100

MaMo Webinar Cycle "Materializing Modernity: Landscape, Architecture and Anthropology intersections in 20th-century rurality" - Part 3

<p>A dataset (WP2-B_Materials_3) containing the video recordings of the MaMo Webinar Cycle titled &ldquo;Materializing Modernity: Landscape, Architecture and Anthropology intersections in 20th-century rurality&rdquo; held on the ZOOM platform in April and May 2021. Activity developed under the Work Package 2 (WP2), Secondment period at Universit&agrave; degli Studi di Milano (UNIMI), Italy. All the events have been organized by Dr Federica Pompejano (MSCA-IF Fellow) in collaboration with the Laboratory of Ethnomusicology and Visual Anthropology (LEAV) of the Department of Cultural and Environmental Heritage (UNIMI) and the Institute of Cultural Anthropology and Art Studies (IAKSA) of the Akademia e Studimeve Albanologjike (ASA), Tirana, Albania.</p> <p>WP2-B_Materials_3&nbsp;(PART 3) - Contents</p> <ul> <li>4th meeting - Oral presentation: &quot;Concepts integrated conservation as inroads to sustainable management of cultural landscapes&quot; by Bosse Lagerqvist, Associate Professor and Senior Lecturer, Department of Conservation, G&ouml;teborgs Universitet, Sweden (WP2-B_Webinar_04W.mpeg)</li> <li>MaMo Webinar Cycle - 4th&nbsp;meeting banner (WP2-B_Webinar_04W_Banner.jpg)</li> <li>MaMo Webinar Cycle - 4th&nbsp;meeting poster with oral presentation abstract (WP2-B_Webinar_04W_Poster1.jpg)</li> <li>MaMo Webinar Cycle - 4th meeting poster with oral presenter&nbsp;short bio (WP2-B_Webinar_04W_Poster2.jpg)</li> <li>MaMo Webinar Cycle - 4th&nbsp;meeting Instagram post (WP2-B_Webinar_04W_IG.jpg)</li> <li>5th meeting - Oral presentation: &quot;Socialist Modernism in the former Eastern Bloc (1955-1991), The Socialist Modernism map at socialistmodernism.com&quot; by Dumitru Rusu, President of B.A.C.U. Association - Birou pentru Art si Cercetare Urbană (Bureau for Art and Urban Research), Romania (WP2-B_Webinar_05W.mpeg)</li> <li>MaMo Webinar Cycle - 5th&nbsp;meeting banner (WP2-B_Webinar_05W_Banner.jpg)</li> <li>MaMo Webinar Cycle - 5th&nbsp;meeting poster with oral presentation abstract (WP2-B_Webinar_05W_Poster1.jpg)</li> <li>MaMo Webinar Cycle - 5th meeting poster with oral presenter&nbsp;short bio (WP2-B_Webinar_05W_Poster2.jpg)</li> <li>MaMo Webinar Cycle - 5th&nbsp;meeting Instagram post (WP2-B_Webinar_05W_IG.jpg)</li> </ul>

opencc-by-4.0Apr 2021View details →
zenodo44/100

Normalisation of Early Modern Science: Inventory of 17th- and 18th-Century Sources

<p>This dataset contains a corpus of early modern natural philosophy works that underlie the European Research Commission-funded Starting Grant &ldquo;The Normalisation of Natural Philosophy: How Teaching Practices Shaped the Evolution of Early Modern Science,&rdquo; (grant agreement No.&nbsp;801653 NaturalPhilosophy), led by Dr. Andrea Sangiacomo at the Faculty of Philosophy at the University of Groningen.</p> <p>&nbsp;</p> <p>The methodology behind the retrieval, cleaning, and annotation of this repository is described in the paper:</p> <p>&nbsp;</p> <ul> <li>Sangiacomo, Andrea; Tanasescu, Raluca; Donker, Silvia; Hogenbirk, Hugo. 2021. &ldquo;Mapping the Evolution of Early Modern Natural Philosophy: Corpus Collection and Authority Acknowledgement,&rdquo; published in the <em>Annals of Science</em> (DOI: 10.1080/00033790.2021.1992502; permanent link: <a href="https://doi.org/10.1080/00033790.2021.1992502">https://doi.org/10.1080/00033790.2021.1992502</a> [forthcoming on the date of the upload]</li> </ul> <p>&nbsp;</p> <p>The difference between the total number of entries in this data set and the number of titles we ran our analyses on comes from listing multiple volumes of the same work as one single entry. The work on this corpus continues and further versions will be gradually uploaded, with supplementary information about publishers and publication places.</p> <p>&nbsp;</p> <p>The dictionaries from which we selected the data in worksheets 2-5 are the following:</p> <p>&nbsp;</p> <ul> <li>Wiep van Bunge, Henri Krop, Bart Leeuwenburgh, Paul Schuurman, Han van Ruler and Michiel Wielema, <em>Dictionary of Seventeenth- and Eighteenth-Century Dutch Philosophers</em> (London: Bloomsbury, 2003);</li> <li>John Yolton, Valdimir Price and John Stephens. <em>Dictionary of Eighteenth-Century British Philosophers</em> (London: Bloomsbury, 1999);</li> <li>Andrew Pyle. <em>Dictionary of Seventeenth-Century British Philosophers</em> (London: Bloomsbury, 2000);</li> <li>Luc Foisneau. <em>Dictionary of Seventeenth-Century French Philosophers</em> (London: Bloomsbury, 2008);</li> <li>Heiner F. Klemme and Manfred Kuehn. <em>Dictionary of Eighteenth-Century Philosophers</em> (London: Bloomsbury, 2011).</li> </ul> <p>&nbsp;</p> <p>University of Groningen Team:</p> <ul> <li>Andrea Sangiacomo (principal investigator)</li> <li>Raluca Tanasescu (postdoctoral researcher)</li> <li>Silvia Donker and Hugo Hogenbirk (PhD students)</li> <li>Cristian A. Marocico (scientific programmer, Center for Information Technology)</li> <li>Wim Breakman (bibliographer, University of Groningen Library)</li> </ul> <p>&nbsp;</p> <p>Special thanks to</p>

opencc-by-4.0Oct 2021View details →
zenodo44/100

Historical and modern view of Vallon de Nant, Switzerland (1912 and 2021)

<p>Comparison of a historical view of the Vallon de Nant and a modern view. The postcard has been published here by Robert Di Salvo <a href="https://notrehistoire.ch/entries/lyYnl9ov8E9">https://notrehistoire.ch/entries/lyYnl9ov8E9</a> and is republished here with his authorization. The recent view has been taken by Anthony Michelon on 12 November 2021 at 13h at the position 574722E/121303N (CH1903) or&nbsp; 46.242682N/7.110908E (WGS84) at elevation 1785 masl. The comparison was first published in the PhD thesis of Anthony Michelon (2022, <a href="https://serval.unil.ch/en/notice/serval:BIB_0C61AF744730">link</a>)</p>

opencc-by-4.0Nov 2022View details →
zenodo40/100

spanichella/RP_EMSE_MCR_2019 v.1.0.1 Second release of of the replication Package for the paper "An Empirical Investigation of Relevant Changes and Automation Needs in Modern Code Review".

<p>Replication Package for the paper &quot;An Empirical Investigation of Relevant Changes and Automation Needs in Modern Code Review&quot;</p> <p>Structure</p> <pre><code>project_raw_data/ gerrit_review_comments.csv gerrit_review_changes.csv survey_raw_data/ google_forms_survey.pdf google_forms_survey.csv RQ1_taxonomy_mcr/ RQ1_inception_phase/ initial_taxonomy.pdf intermediate_taxonomy.pdf RQ1_definition_phase/ Q1.2_evaluation_survey.csv cram_classified.csv cram.pdf RQ2_automation_needs/ Q2.1-Q2.5_evaluation_survey.xlsx Q2.6-Q2.7_evaluation_survey.xlsx Q2.1-Q2.7_question_index.csv Now "RQ3_automated_support/" contain the results concerning RQ2.1 in the paper. content explained in the README.md file located in "RQ3_automated_support/README.md" </code></pre> <p>Contents of the Replication Package</p> <p><strong>project-raw-data/</strong>&nbsp;contains the data used for the creation of our taxonomies, it includes information about the ten open-source projects.</p> <ul> <li><code>gerrit_review_comments.csv</code>&nbsp;- information about all in-line review comments used for this paper</li> <li><code>gerrit_review_changes.csv</code>&nbsp;- information about all patches analyzed that contain the in-line comments</li> </ul> <p><strong>survey_raw_data/</strong>&nbsp;contains information about the survey conducted for the paper.</p> <ul> <li><code>google_forms_survey.pdf</code>&nbsp;- the distributed&nbsp;<em>Google Forms</em>&nbsp;of our survey</li> <li><code>google_forms_survey.csv</code>&nbsp;- all survey answers obtained from 52 survey participants</li> </ul> <p><strong>RQ1_taxonomy_mcr/</strong>&nbsp;contains information and data about the elicited taxonomies in our paper (RQ1).</p> <ul> <li><strong>RQ1_inception_phase/</strong> <ul> <li><code>initial_taxonomy.pdf</code>&nbsp;- initial taxonomy obtained in the inception phase of our paper</li> <li><code>intermediate_taxonomy.pdf</code>&nbsp;- intermediate taxonomy after integrating and merging the initial taxonomy with the one by Beller&nbsp;<em>et al</em>&nbsp;[1]</li> </ul> </li> <li><strong>RQ1_definition_phase/</strong> <ul> <li><code>Q1.2_evaluation_survey.csv</code>&nbsp;- relevant survey feedback with additional taxonomy categories integrated into&nbsp;<em>CRAM</em></li> <li><code>cram_classified.csv</code>&nbsp;- classified review comments (<code>gerrit_review_comments.csv</code>) into&nbsp;<em>CRAM</em></li> <li><code>cram.pdf</code>&nbsp;-&nbsp;<em>CRAM</em>&nbsp;taxonomy</li> <li><code>cram_classified_with_frequency_information2020.xls</code>&nbsp;- it contain the information used to compute the frequency of CRAM changes, derived by the analysis of the 211 commits</li> </ul> </li> </ul> <p><strong>RQ2_automation_needs/</strong>&nbsp;contains the encoded evaluation of the survey question Q2.1-2.7 for RQ2</p> <ul> <li><code>Q2.1-Q2.5_evaluation_survey.xlsx</code>&nbsp;- the encoded evaluation of the survey questions Q2.1-Q2.5 (used for the&nbsp;<em>Automation Needs</em>&nbsp;Section in the paper) and contains the following sheets: <ul> <li><strong>all Findings</strong>: Very detailed findings matrix distilled from all answers concerning possible automated solutions or general possibilities to achieve automation in MCR. Every feedback was analyzed and decomposed into single findings. These findings are grouped, into categories of our Taxonomy of Code Changes in MCR (CRAM). Red represent in the feedback-text where the corresponding category was distilled from.</li> <li><strong>unique Findings</strong>: As one participant could mention the same categories/solutions in multiple feedbacks, the following matrix is cleaned of any duplication of participant answers. Multiple feedbacks containing the same information by one participant were removed, leaving only distinct occurances.</li> <li><strong>aggregated by Solution</strong>: Aggregated feeback clustered into abstracted solutions and the number of times participants mentioned the solution.</li> <li><strong>aggregated by Taxonomy</strong>: Aggregated feeback grouped by low-level categoried in CRAM.</li> </ul> </li> <li><code>Q2.6-Q2.7_evaluation_survey.xlsx</code>&nbsp;- the encoded evaluation of the survey questions Q2.6-Q2.7 (used for the&nbsp;<em>Automation Needs</em>&nbsp;Section in the paper) and contains the following sheets: <ul> <li><strong>all Findings</strong>: Very detailed findings matrix distilled from all answers concerning possible techniques, approaches and data to achieve automation in MCR. Every feedback was analyzed and decomposed into single findings. These findings are grouped, into categories of our Taxonomy of Code Changes in MCR (CRAM). Red represent in the feedback-text where the corresponding category was distilled from.</li> <li><strong>unique Findings</strong>: As one participant could mention the same categories/solutions in multiple feedbacks, the following matrix is cleaned of any duplication of participant answers. Multiple feedbacks containing the same information by one participant were removed, leaving only distinct occurances.</li> <li><strong>aggregated by low-level taxonomy</strong>: Aggregated mentionings of approaches/data by developers in the survey grouped by low-level taxonomy category.</li> <li><strong>aggregated by high-level taxonomy</strong>: Aggregated mentionings of approaches/data by developers in the survey grouped by high-level taxonomy category.</li> </ul> </li> <li><code>Q2.1-Q2.7_question_index.csv</code>&nbsp;- table of IDs given to each participant-question pair for Q2.1-Q2.7 in order to trace back the feeback.</li> <li><code>cram_survey-with_criticality_and_feasibility2020.xls</code>&nbsp;and&nbsp;<code>cram_survey-with_relevance_and_completeness_information2020.xls</code>: they contain we results of the survey, involving 14 additional participants (12 developers and 2 researchers), not involved in the aforementioned survey, and performed to qualitatively assess the relevance and completeness of the identified MCR change types as well as assess how critical and feasible to implement are some of the identified techniques to support MCR activities.</li> </ul> <p><strong>RQ2_1_automated_support/</strong>&nbsp; (or&nbsp;<strong>RQ3_automated_support/</strong>&nbsp;)- content explained in the README.md file located in &quot;RP_EMSE_MCR_2019/tree/master/EMSE_MCR_2019/RQ3_automated_support/README.md&quot;</p> <p>References</p> <p>[1] Moritz Beller, Alberto Bacchelli, Andy Zaidman, and Elmar Juergens. 2014. Modern code reviews in open-source projects: which problems do they fix?. In Proceedings of the 11th Working Conference on Mining Software Repositories (MSR 2014). ACM, New York, NY, USA, 202-211. DOI:&nbsp;<a href="http://dx.doi.org/10.1145/2597073.2597082">http://dx.doi.org/10.1145/2597073.2597082</a></p>

openother-openFeb 2020View details →
zenodo40/100

FIG. 11. — A in The modern ontological natures of the Cairina moschata (Linnaeus, 1758) duck. Cases from Perú, the northern hemisphere, and digital communities

FIG. 11. — A, logo of D'Artagnan Foods Inc. Image via Wikimedia Commons; B, poster of campaign to stop the expansion of foie gras industry in China (https:// safarus.wordpress.com/2012/03/24/chinese-activists-call-for-boycott-of-the-largest-foie-gras-farm, last consultation: 06/09/2019).

opencc-zeroSep 2019View details →
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Figure 1 in How extensive is the effect of modern farming on bird communities in a sand dune desert?

Figure 1. Dendrogram of F- and C-transects, using group-average clustering from Bray-Curtis similarities on log-transformed bird abundances. Similarity coefficient in percent.

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Influence of Paleolithic Range Contraction, Admixture and Long-Distance Dispersal on Genetic Gradients of Modern Humans in Asia

<p>Each folder is identified according to the scenario, and contains another folder with the input files (files *.txt, *.par, *.sam, *.asc) to simulate it, the corresponding simulated genetic data (files *.arp) and the derived PC maps (files *.png). A file with the locations of the samples is also included (coord.txt).</p> <p>* Pure Paleolithic expansion *&nbsp;<br> The folder &ldquo;Paleo&rdquo; contains the input files (INFILES), the genetic data and the corresponding PC maps simulated under the scenario of a pure Paleolithic expansion,&nbsp;ignoring the range contraction induced by the LGM and LDD events.</p> <p>* Pure Paleolithic expansion considering the range contraction induced by the LGM *&nbsp;<br> The folder &ldquo;Paleo_REC&rdquo; contains the input files (INFILES), the genetic data and the corresponding PC maps simulated under the scenario of a pure Paleolithic expansion suffering the range contraction induced by the LGM.</p> <p>&nbsp;* Pure Paleolithic expansion considering long-distance dispersal (LDD) events *&nbsp;<br> The folder &ldquo;Paleo_LDD&rdquo; contains the input files (INFILES), the genetic data &nbsp;and the corresponding PC maps simulated under the scenario of a pure Paleolithic expansion considering LDD events.&nbsp;</p> <p>* Paleolithic expansion followed by two Neolithic expansions (IR=0) from Middle East and East Asia considering the range contraction induced by the LGM *&nbsp;<br> The folder &ldquo;Paleo2NeoIR0_REC&rdquo; contains the input files (INFILES), the genetic data and the corresponding PC maps simulated under the scenario of a Paleolithic expansion followed by two Neolithic expansions (IR=0) from Middle East and later from East Asia suffering the range contraction induced by the LGM.&nbsp;</p> <p>* Paleolithic expansion followed by two Neolithic expansions (IR=0) from Middle East and East Asia considering LDD events *&nbsp;<br> The folder &ldquo;Paleo2NeoIR0_LDD&rdquo; contains the input files (INFILES), the genetic data and the corresponding PC maps simulated under the scenario of a Paleolithic expansion followed by two Neolithic expansions from Middle East and later from East Asia considering LDD events.&nbsp;</p> <p>* Paleolithic expansion followed by a single Neolithic expansion (IR=0) from Middle East considering the range contraction induced by the LGM *&nbsp;<br> The folder &ldquo;Paleo_MiddleEastNeoIR0_REC&rdquo; contains the input files (INFILES), the genetic data and the corresponding PC maps simulated under the scenario of a Paleolithic expansion followed by a single Neolithic expansions (IR=0) from Middle East suffering the range contraction induced by the LGM.&nbsp;</p> <p>* Paleolithic expansion followed by a single Neolithic expansion (IR=0) from East Asia considering the range contraction induced by the LGM *&nbsp;<br> The folder &ldquo;Paleo_EastAsiaNeoIR0_REC&rdquo; contains the input files (INFILES) and the corresponding PC maps simulated under the scenario of a Paleolithic expansion followed by a single Neolithic expansion (IR=0) from East Asia suffering the range contraction induced by the LGM.&nbsp;</p> <p>* Paleolithic expansion followed by a single Neolithic expansion (IR=0) from Middle East considering LDD events *&nbsp;<br> The folder &ldquo;Paleo_MiddleEastNeoIR0_REC&rdquo; contains the input files &nbsp;(INFILES), the genetic data and the corresponding PC maps simulated under the scenario of a Paleolithic expansion followed by a single Neolithic expansions (IR=0) from Middle East considering LDD events.&nbsp;</p> <p>* Paleolithic expansion followed by a single Neolithic expansion (IR=0) from East Asia considering LDD events *&nbsp;<br> The folder &ldquo;Paleo_EastAsiaNeoIR0_REC&rdquo; contains the input files (INFILES) the genetic data and the corresponding PC maps simulated under the scenario of a Paleolithic expansion followed by a single Neolithic expansion (IR=0) from East Asia considering LDD events.&nbsp;</p> <p>* Paleolithic expansion followed by a single Neolithic expansion (IR=0.04) from Middle East considering the range contraction induced by the LGM *&nbsp;<br> The folder &ldquo;Paleo_MiddleEastNeoIR004_REC&rdquo; contains the input files (INFILES), the genetic data and the corresponding PC maps simulated under the scenario of a Paleolithic expansion followed by a single Neolithic expansion (IR=0.04) from East Asia suffering the range contraction induced by the LGM.&nbsp;</p> <p>* Paleolithic expansion followed by a single Neolithic expansion (IR=0.04) from East Asia considering the range contraction induced by the LGM *&nbsp;<br> The folder &ldquo;Paleo_EastAsiaNeoIR0_REC&rdquo; contains the input files (INFILES), the genetic data &nbsp;and the corresponding PC maps simulated under the scenario of a Paleolithic expansion followed by a single Neolithic expansions (IR=0.04) from East Asia suffering the range contraction induced by the LGM.&nbsp;</p> <p>* Paleolithic expansion followed by a single Neolithic expansion (IR=0.04) from Middle East considering LDD events *&nbsp;<br> The folder &ldquo;Paleo_MiddleEastNeoIR004_REC&rdquo; contains the input files (INFILES), the genetic data and the corresponding PC maps simulated under the scenario of a Paleolithic expansion followed by a single Neolithic expansion (IR=0.04) from East Asia considering LDD events.&nbsp;</p> <p>* Paleolithic expansion followed by a single Neolithic expansion (IR=0.04) from East Asia considering LDD events *&nbsp;<br> The folder &ldquo;Paleo_EastAsiaNeoIR0_REC&rdquo; contains the input files &nbsp;(INFILES), the genetic data and the corresponding PC maps simulated under the scenario of a Paleolithic expansion followed by a single Neolithic expansions (IR=0.04) from East Asia considering LDD events.</p>

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Fig. 38 in Temporary expansion to shelf depths rather than an onshore-offshore trend: the shallow-water rise and demise of the modern deep-sea brittle star family Ophiacanthidae (Echinodermata: Ophiuroidea)

Fig. 38. Fossil lateral arm plates (LAPs) of ophiacanthid brittle stars in external (a) and internal (b) views. 1-4. Ophiojagtus irimurai gen. et sp. nov. from the early Kimmeridgian (Late Jurassic) of the Pointe du Chay, France. 1. GZG.INV.78808 (holotype), proximal LAP. 2. GZG.INV.78809 (paratype), median LAP. 3. GZG.INV.78810 (paratype), median LAP. 4. GZG.INV.78811 (paratype), distal LAP. 5-7. Ophiojagtus acklesi gen. et sp. nov. from the late Aptian (Early Cretaceous) of Wizard Way, Texas. 5. GZG.INV.78814 (holotype), proximal LAP. 6. GZG.INV.78815 (paratype), median to distal LAP. 7. GZG.INV.78816 (paratype), proximal LAP. 8. Ophiojagtus sp. 1 from the early Cenomanian (Late Cretaceous) of Waco, Texas; proximal LAP. 9-10. Ophiojagtus alternatus (Kutscher &amp; Jagt, 2000) comb. nov. from the early late Maastrichtian (Late Cretaceous) of Haccourt, Belgium. 9. NHMM 2012 060, proximal to median LAP. 10. NHMM 2012 061, proximal LAP. One common scale bar per species.

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Fig. 31 in Temporary expansion to shelf depths rather than an onshore-offshore trend: the shallow-water rise and demise of the modern deep-sea brittle star family Ophiacanthidae (Echinodermata: Ophiuroidea)

Fig. 31. Lateral arm plates (LAPs) of fossil and Recent ophiacanthid brittle stars in external (a) and internal (b) views. 1-4. Ishidacantha fuersichi gen. et sp. nov. from the Callovian (Middle Jurassic) of Jumara, India. 1. GZG.INV.78728 (holotype), proximal LAP. 2. GZG.INV.78729 (paratype), proximal LAP. 3. GZG.INV.78730 (paratype), median LAP. 4. GZG.INV.78731 (paratype), distal LAP. 5-6. Ishidacantha trispinosa (Hess, 1965) comb. nov. from the early Oxfordian (Late Jurassic) of Longecombe, France. 5. NHMB M11222, proximal LAP. 6. NHMB M11223, distal LAP. 7-9. Ophiomitrella conferta (Koehler, 1922), Recent. 7. Proximal LAP. 8. median LAP. 9. distal LAP. 10-12. Ophiomitrella? sp. 1 from the Callovian of Bauer-Wehrland, Germany. 10. GZG.INV.78735, proximal LAP. 11. GZG.INV.78736, median LAP. 12. GZG.INV.78737, distal LAP. One common scale bar per species.

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Fig. 30 in Temporary expansion to shelf depths rather than an onshore-offshore trend: the shallow-water rise and demise of the modern deep-sea brittle star family Ophiacanthidae (Echinodermata: Ophiuroidea)

Fig. 30. Fossil lateral arm plates (LAPs) of ophiacanthid brittle stars in external (a) and internal (b) views. 1-3. Dermacantha sp. nov. innom. from the Bajocian-Bathonian boundary of Touert, France. 1. GZG.INV.78714, proximal LAP. 2. GZG.INV.78715, median LAP. 3. GZG.INV.78716, distal LAP. 4-6. Dermacantha carli gen. et sp. nov. from the late Oxfordian (Late Jurassic) of the Plettenberg, Germany. 4. GZG.INV.78718 (holotype), proximal LAP. 5. GZG.INV.78719 (paratype), median LAP. 6. GZG. INV.78720 (paratype), distal LAP. 7-9. Ishidacantha hirokoae gen. et sp. nov. from the middle Toarcian (Early Jurassic) of Le Clapier, France. 7. GZG.INV.78723 (holotype), proximal LAP. 8. GZG.INV.78724 (paratype), median LAP. 9. GZG.INV.78725 (paratype), distal LAP. One common scale bar per species.

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Fig. 22 in Temporary expansion to shelf depths rather than an onshore-offshore trend: the shallow-water rise and demise of the modern deep-sea brittle star family Ophiacanthidae (Echinodermata: Ophiuroidea)

Fig. 22. Lateral arm plates (LAPs) of fossil and Recent ophiacanthid brittle stars in external (a) and internal (b) views. 1-2. Hanshessia sp. from the Callovian (Middle Jurassic) of Jumara, India. 1. GZG. INV.78641, proximal to median LAP. 2. GZG.INV.78642, proximal LAP. 3-4. Ophiocopa spatula Lyman, 1883, Recent. 3. Proximal LAP. 4. Distal LAP. 5. Alternacantha? sp. from the late Pliensbachian (Early Jurassic) of Amellago, Morocco; GZG.INV.78645, proximal LAP. 6. Alternacantha sp. nov. innom. 1 from the middle Toarcian (Early Jurassic) of Le Clapier, France; GZG.INV.78647, proximal to median LAP. 7-8. Alternacantha occulta Thuy &amp; Meyer, 2013, from the early Bajocian (Middle Jurassic) of Longwy, France. 7. GZG.INV.78648, proximal LAP. 8. GZG.INV.78649, distal LAP. 9-10. Alternacantha sp. nov. innom. 2 from the Callovian (Middle Jurassic) of Jumara, India. 9. GZG.INV.78652, proximal to median LAP. 10. GZG.INV.78653, median LAP. One common scale bar per species.

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Fig. 26 in Temporary expansion to shelf depths rather than an onshore-offshore trend: the shallow-water rise and demise of the modern deep-sea brittle star family Ophiacanthidae (Echinodermata: Ophiuroidea)

Fig. 26. Fossil lateral arm plates (LAPs) of ophiacanthid brittle stars in external (a) and internal (b) views. 1-3. Dermocoma faberi sp. nov. from the Hettangian (Early Jurassic) of Vance, Belgium. 1. MnhnL HE408 (holotype), proximal LAP. 2. MnhnL HE409 (paratype), median LAP. 3. MnhnL HE410 (paratype), distal LAP. 4-6. Dermocoma potti sp. nov. from the late Pliensbachian (Early Jurassic) of Feuguerolles, France. 4. GZG.INV.78675 (holotype), proximal LAP. 5. GZG.INV.78676 (paratype), median LAP. 6. GZG. INV.78677 (paratype), distal LAP. 7-8. Dermocoma toarcensis (Hess, 1962) comb. nov. from the late Toarcian (Early Jurassic) of Seewen, Switzerland. 7. NHMB M11216, proximal LAP. 8. NHMB M11217, distal LAP. 9-11. Dermocoma longwyensis sp. nov. from the early Bajocian (Middle Jurassic) of Longwy, France. 9. GZG.INV.78679 (holotype), proximal LAP. 10. GZG.INV.78680 (paratype), median LAP. 11. GZG.INV.78681 (paratype), distal LAP. One common scale bar per species.

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Fig. 19 in Temporary expansion to shelf depths rather than an onshore-offshore trend: the shallow-water rise and demise of the modern deep-sea brittle star family Ophiacanthidae (Echinodermata: Ophiuroidea)

Fig. 19. Fossil skeletal plates of ophiacanthid brittle stars; lateral arm plates (LAPs) in external (a) and internal (b) views. 1-2. Ophiacantha sp. nov. innom 3 from the middle Albian (Early Cretaceous) of Folkestone, Great Britain. 1. GZG.INV.78602, proximal LAP. 2. GZG.INV.78603, distal LAP. 3-5. Ophiacantha reginae sp. nov. from the late Campanian (Late Cretaceous) of Lägerdorf-Alsen, Germany. 3. GZG.INV.78605 (holotype), proximal LAP. 4. GZG.INV.78606 (paratype), median LAP. 5. GZG.INV.78607 (paratype), distal LAP. 6-9. Ophiacantha steffenschneideri sp. nov. from the Rupelian (Oligocene) of Bad Freienwalde, Germany. 6. GZG.INV.78609 (holotype), proximal LAP. 7. GZG.INV.78610 (paratype), median LAP. 8. GZG.INV.78611 (paratype), distal LAP. 9. GZG. INV.78612 (paratype), arm spine. 10-12. Ophiogaleus sp. nov. innom 1 from the late Sinemurian to early Pliensbachian (Early Jurassic) of the Glasenbach Gorge, Austria. 10. NHMW 2012/0137/0017, proximal LAP. 11. NHMW 2012/0137/0018, proximal to median LAP. 12. NHMW 2012/0137/0019, proximal to median LAP. One common scale bar per species except for 9.

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Fig. 15 in Temporary expansion to shelf depths rather than an onshore-offshore trend: the shallow-water rise and demise of the modern deep-sea brittle star family Ophiacanthidae (Echinodermata: Ophiuroidea)

Fig. 15. Fossil lateral arm plates (LAPs) of ophiacanthid brittle stars in external (a) and internal (b) views. 1-3. Geromura teckliformis gen. et sp. nov. from the late Valanginian (Early Cretaceous) of the Ternberg Nappe, Austria. 1. NHMW 2012/0138/0005 (holotype), proximal LAP. 2. NHMW 2012/0138/0006 (paratype), median LAP. 3. NHMW 2012/0138/0007 (paratype), distal LAP. 4-6. Krohcoma mira gen. et sp. nov. from the late Sinemurian to early Pliensbachian (Early Jurassic) of the Glasenbach Gorge, Austria. 4. NHMW 2012/0137/0013 (holotype), proximal LAP. 5. NHMW 2012/0137/0014 (paratype), median LAP. 6. NHMW 2012/0137/0015 (paratype), distal LAP. 7-8. Krohcoma sp. nov. innom from the late Bathonian (Middle Jurassic) of Jumara, India. 7. GZG.INV.78574, proximal LAP. 8. GZG.INV.78575, median to distal LAP. 9-12. Krohcoma ampla gen. et sp. nov. from the early Kimmeridgian of the Pointe du Chay (9-10), France, and the late Kimmeridgian of Trancoso, Portugal (11-12). 9. GZG.INV.78577 (holotype), proximal LAP. 10. GZG.INV.78578 (paratype), median LAP. 11. GZG.INV.78579 (paratype), median LAP. 12. GZG.INV.78580 (paratype), distal LAP. One common scale bar per species is given.

opencc-by-3.0Jul 2013View details →

ScienceDex guides

Understand access before you commit

These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

Compare curated 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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record