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511 results for “stories”
Kangalika - a short story of Richard Onyango
<p>"Kangalika - a short history on Richard Onyango" it is a documentary film with an interview with an exceptional painter, sculptor and collector living in Malindi in Kenya - Richard Onyango. Having an outstanding memory Onyango registers and records private histories and fascinations in paintings, sculptures, models, musical pieces. In the film realized by Lukasz Jastrubczak, Onyango tells the story about loves of his life: the buses bringing commodities to the remote villages in Kenya, the lover Drosie and the Landrover of his father's boss, which was Onyango's dream since childhood.</p>
Acceleration response of a benchmark 3 Story Structure (SAC) with MR damper under earthquake excitation
<p>This file contains acceleration response of benchmark 3 story structure equipped with MR damper under the Chuetsu-Oki earthquake in Niigata prefecture, Japan, which occurred on July 16th, 2007. Acceleration response of each story is separated and saved in separate text files. Text file contains four columns that the first one has been devoted to time series, while the remained (second, third, fourth) columns present acceleration responses in three perpendicular axes, X, Y, Z, respectively.</p>
Contextualizing Trending Entities in News Stories
<p>This repository contains the enrichments for the dataset <a href="https://catalog.ldc.upenn.edu/LDC2008T19">The New York Times Annotated Corpus</a> developed for the paper:</p> <p>“Marco Ponza, Diego Ceccarelli, Paolo Ferragina, Edgar Meij, Sambhav Kothari. Contextualizing Trending Entities in News Stories. In Proceedings of the 14th ACM International Conference on Web Search and Data Mining (WSDM 2021).”</p> <p>It includes a total of 149 trends constituted by 120K entities. The goal is to retrieve a set of entities ranked with respect to their usefulness in explaining why a given trending entity is actually trending.</p> <p><strong>Format</strong></p> <p>The repository contains the enrichments in JSON format.</p> <p>The news stories of the New York Times from which these enrichments have been developed are available from <a href="https://catalog.ldc.upenn.edu/LDC2008T19">LDC</a>.</p> <p><strong>Data Splits</strong></p> <p>We perform two kinds of evaluation.</p> <ol> <li>Unsupervised evaluation, where we use the complete dataset of 149 trends as a benchmark.</li> <li>Supervised evaluation, where we train/tune our models on a training/development set and we test them on a test set.</li> </ol> <ul> <li>The training set contains 50 trends constituted by 36.3K entities from 1996 to 2000.</li> <li>The development set contains 34 trends constituted by 26.7K entities from 2000 to 2002.</li> <li>The test set contains 65 trends constituted by 57K entities from 2002 to 2007.</li> </ul> <p>Use</p> <p>Please cite the data set and the accompanying paper if you found the resources in this repository useful:</p> <p>@inproceedings{ponza2021,<br> Title = {Contextualizing Trending Entities in News Stories},<br> author = {Ponza, Marco and Ceccarelli, Diego and Ferragina, Paolo and Meij, Edgar and Kothari, Sambhav},<br> Booktitle = {Proceedings of the 14th ACM International Conference on Web Search and Data Mining},<br> Year = {2021},<br> }</p>
CERN Analysis Preservation User Stories
<p>This comic-like drawing is a graphical representation of the User Stories identified for CERN Analysis Preservation.</p>
ATMO-ACCESS WP2_Success Story_TNA PIRAThe
<p>Users across Europe and beyond have used ATMO-ACCESS services to enhance their research projects. We are collecting stories from users to illustrate their access experience and make the benefits of transnational access more tangible to new users.</p> <p>In this video, you will discover Martin Ramacher - Postdoctoral scientist in the Department of Chemical Transport Modelling at the <a href="https://www.linkedin.com/company/hereon-helmholtz/" target="_self">Helmholtz-Zentrum Hereon-</a>'s ATMO-ACCESS success story. He explains his project PIRAThe " Particulates infiltrating residencies in Athens" undertaken at ATMOS, National observatory of Athens. You will learn how this groundbreaking European project facilitates access to atmospheric research infrastructures and propels scientific innovation.</p> <p>On the programme:</p> <ul> <li>Dr. Martin Ramacher's entertaining testimonial</li> <li>Overview of the scientific results made possible by ATMO-ACCESS</li> <li>Focus on an exposure study based on indoor environment</li> </ul> <p>Find out more here : <a href="https://www.atmo-access.eu/meetourusers/">https://www.atmo-access.eu/meetourusers/</a></p>
Data and results for the paper: "From Bugs to Benefits: Improving User Stories by Leveraging Crowd Knowledge with CrUISE-AC"
<div> <div>We provide the following files used in the study "From Bugs to Benefits: Improving User Stories by Leveraging Crowd Knowledge with CrUISE-AC".</div> <div>The paper has been accepted for presentation in the research track of the IEEE/ACM International Conference on Software Engineering (ICSE) 2025 and will be included in the conference proceedings.</div> <div>The preprint is available on <a href="http://arxiv.org/abs/2501.15181" target="_blank" rel="noopener">arXiv</a>.</div> <br> <div><strong>User stories e-commerce.xlsx</strong></div> <div>307 real-world user stories from 3 different eCommerce projects.</div> <br> <div><em>Project A</em> defines a complete set of requirements for a B2C focused onlineshop of a publishing house who aims do sell his own publications directly.</div> <div><em>Project B</em> contains a partial set of requirements for a B2C focused onlineshop of a bookseller.</div> <div><em>Project C</em> includes a subset of B2C and B2B requirements for an online bookstore, supplemented by an eProcurement module designed to provide information and automation for industrial customers.</div> <div>Most of the user stories come with additional acceptance criteria, written in unstructured natural language.</div> <br> <div>The user stories have been anonymized and the merchant's real names were replaced with neutral terms.</div> <br> <div>Columns</div> <div>- ID: a unique ID we assigned across all projects</div> <div>- Project: user story belongs to project A, B or C</div> <div>- Connextra: user story in connextra pattern</div> <div>- Acceptance Criteria: acceptance criteria that came with the user story</div> <br> <div><strong>User stories CMS.xlsx</strong></div> <div>34 CMS related user stories from a dataset that was originally created by</div> <div>*Lucassen, G., Dalpiaz, F., van der Werf, J.M.E., Brinkkemper, S.: Visualizing user</div> <div>story requirements at multiple granularity levels via semantic relatedness. In: Con-</div> <div>ceptual Modeling: 35th International Conference, ER 2016, Gifu, Japan, November</div> <div>14-17, 2016, Proceedings 35. pp. 463–478. Springer (2016)*</div> <br> <div>Columns</div> <div>- ID: a unique ID we assigned</div> <div>- Connextra: user story in connextra pattern</div> <br> <div><strong>Issues e-commerce.xlsx</strong></div> <div>54,396 issues, we harvested from seven different issue trackers between June 2011 and July 2024</div> <div>- magento2 (https://github.com/magento/magento2/issues)</div> <div>- nopCommerce (https://github.com/nopSolutions/nopCommerce/issues)</div> <div>- OpenCart (https://github.com/opencart/opencart/issues)</div> <div>- PrestaShop (https://github.com/PrestaShop/PrestaShop/issues)</div> <div>- Shopware5 (https://issues.shopware.com/?products=SW-5)</div> <div>- Shopware6 (https://issues.shopware.com/?products=SW-6)</div> <div>- WooCommerce (https://github.com/woocommerce/woocommerce/issues)</div> <br> <div>Columns</div> <div>- id: unique ID we have assigned</div> <div>- Issue Tracker: issue tracker this issue originates from</div> <div>- Title: title of the original issue</div> <div>- Body: body / description of the original issue</div> <div>- Preprocessed: result of preprocessing the issue as described in the paper</div> <div>- Sample: issue was part of our 3,500 sample issues we used to evaluate CrUISE-AC</div> <br> <div><strong>Issues CMS.xlsx</strong></div> <div>64,500 issues, we harvested from two different issue trackers between April 2002 and August 2024</div> <div>- Moodle (https://github.com/magento/magento2/issues)</div> <div>- Umbraco (https://github.com/nopSolutions/nopCommerce/issues)</div> <br> <div>Columns are the the same as for "Issues e-commerce.xlsx"</div> <br> <div><strong>trivia-trainingdata.csv</strong></div> Manually labelled dataset to train the trivia classifier. <div>The dataset contains 1916 phrases with an even distribution of 958 trivia and 958 non-trivia phrases.</div> <br> <div>- Label = 1: this sentence is trivia</div> <div>- Label = 0: this sentence is not considered trivia</div> <br> <div>Any source code was replaced by [CODE] to simplify the classification process. Source code in markdown could be identified easily as it is enclosed by a special character https://docs.github.com/en/get-started/writing-on-github/working-with-advanced-formatting/creating-and-highlighting-code-blocks</div> <br><strong>Prompts</strong><br> <div><em>prompt_match.txt</em>: prompt we used across all LLMs to assess, if an issue potentially might affect a given user story</div> <em>prompt_generate.txt</em>: GPT4-turbo prompt to convert an issue text into gherkin-style acceptance criteria for a given user story<br> <div><em>prompt_evaluate.txt</em>: GPT4-turbo prompt to assess the usefulness of a newly generated acceptance criteria for a given user story</div> <br> <div><strong>Evaluation e-commerce.xlsx</strong></div> issue / user story pairs, generated acceptance criteria and result of manual evaluation.<br> <div> </div> <div>Columns</div> <div>- StoryID: unique ID of the user story (refer to User stories e-commerce.xlsx)</div> <div>- IssueID: unique ID of the issue (refer to Issues e-commerce.xlsx)</div> <div>- Issue: preprocessed issue text used as basis to generate the acceptance criterion</div> <div>- Connextra: user story in connextra pattern</div> <div>- Existing AC: acceptance criteria that originally came with the user story</div> <div>- AC: by CrUISE-AC generated acceptance criterion</div> <div>- AC_Explanation: explanation generated by CrUISE-AC why this AC adds new knowledge to the current user story</div> <div>- E1: evaluation result by expert 1 (1 = AC adds relevant knowledge; 0 = AC is irrelevant)</div> <div>- E2: evaluation result by expert 2 (1 = AC adds relevant knowledge; 0 = AC is irrelevant)</div> <div>- E3: evaluation result by expert 3 (1 = AC adds relevant knowledge; 0 = AC is irrelevant)</div> <div>- E4: evaluation result by expert 4 (1 = AC adds relevant knowledge; 0 = AC is irrelevant)</div> <div>- 3/4 majority: did at least 3 experts assess this AC as relevant (1 = yes; 0 = no)</div> <br> <div><strong>Evaluation CMS.xlsx</strong></div> <div>- StoryID: unique ID of the user story (refer to User stories CMS.xlsx)</div> <div>- IssueID: unique ID of the issue (refer to Issues CMS.xlsx)</div> <div>- Issue: preprocessed issue text used as basis to generate the acceptance criterion</div> <div>- Connextra: user story in connextra pattern</div> <div>- AC: by CrUISE-AC generated acceptance criterion</div> <div>- AC_Explanation: explanation generated by CrUISE-AC why this AC adds new knowledge to the current user story</div> <div>- E1: evaluation result by expert 1 (1 = AC adds relevant knowledge; 0 = AC is irrelevant)</div> <div>- E4: evaluation result by expert 4 (1 = AC adds relevant knowledge; 0 = AC is irrelevant)</div> <div>- E5: evaluation result by expert 5 (1 = AC adds relevant knowledge; 0 = AC is irrelevant)</div> <div>- 2/3 majority: did at least 2 experts assess this AC as relevant (1 = yes; 0 = no)</div> </div>
On Australian Shores: Survivor Stories
<p>A 52 minute documentary film produced by Ngikalikarra Media, Australia containing individual and group interviews with those directly and indirectly affected by the Agriculture Protection Board (APB) herbicide spraying programs in the 1970's and early 1980's across the East Kimberley and West Kimberley region of Western Australia.<em> </em>These personal interviews were also conducted in Perth, Western Australia and surrounding regions as many of those workers and their families, as well as people of all cultures continue to need medical attention as a result of this program across this state, also other states and locations in Australia.</p>
SMA TB Clinical trial - Soweto site - Short story
<p>In this video a nurse from SMA-TB clinical trial research team from South Africa shows one working day from Soweto, Baragwanath Hospital. She also gives insight about challenges of running a clinical trial during the COVID-19 pandemic. </p> <p>SMA-TB project has received funding from the European Union's Horizon 2020 research and innovation programme under grant ageement No 847762.</p>
covid-19 news stories China, South Korea and the U.S.
<p>This dataset is news stories on the COVID-19 pandemic published by national news agencies in China, Korea, and the U.S. The news stories were collected on<em> Factiva</em> by keyword searching, published within a one-month time frame after a national break in each country. </p>
Dangaba: The Story of Fracking
<p><em>Dangaba, The Story of Fracking,</em> relates the Dreamtime (Bookarrarra) story of Dangaba, an old woman who lives near Mount Wynne (Doodoodoo), on Nyikina country, and who, in the story, killed Aboriginal people with her poisonous farts. The story directly relates to the hot springs found near Mount Wynne, and the gas bubbling up to the surface, making the "doodoodoo" sound, and highlights the dangers faced by people moving through this part of the Country. At the time of the making of the film, fracking leases were proposed for the area around Mount Wynne - the film explains the importance of protecting the Country, and water tables, and the dangers of fracking and disturbing a very significant cultural place that has been recognised as dangerous, for millenia, in the Bookarrarra stories of Nyikina people. </p> <p>Poelina, A., Mulligan, R., Mulligan, G., Mulligan, E.L. (Producers), & McDuffie, M. (Director). (2014). <em>Dangaba: The Story of Fracking </em>[Online Video]. Madjulla Inc. Available at: <a href="https://vimeo.com/710662076">https://vimeo.com/710662076</a></p>
Science communication: How to tell the story of your scientific work
<p>Have you ever wondered why certain research projects get picked up in the news and not others? Or how some researchers manage to produce science content that goes viral on social media? Sure, part of it is luck, but another part of it is storytelling. By framing your research in a different way, you can increase the chances that your story gets picked up, or that your social media gains a following.</p> <p><a href="https://www.youtube.com/watch?v=aasLG7uOGAg">This webinar </a>will give you the tools to tell stories about your research intentionally, identifying newsworthy stories, who’s your audience, what medium best fits your story, and considering whether you want to pitch your story to journalists, or perhaps use your own media production skills, and posting it to social media. But what platform? We will cover all of this and more in part 1 of our Arctic PASSION seminar! This is part 1 of a series of seminars that Arctic PASSION will be hosting. Arctic PASSION is an EU Horizon 2020-funded project which aims to build a coherent Arctic Observing System that is adjusted to societal needs based on a co-design of knowledge.</p> <p>The Arctic PASSION Online Seminar and Dialogue Series is a tool to communicate project’s topics, share ideas, plans and results, and initiate an inclusive and proactive dialogue with people from different groups, backgrounds and career levels. It is targeted to Arctic and Indigenous Youth, Early Career Scientists and other interested audiences. The online seminar is led by Olivia Rempel, a documentary filmmaker and multimedia journalist working at GRID-Arendal, where she does everything from producing, shooting and editing documentaries, to guest teaching a mini science communication course at the Technical University of Denmark. She holds a master’s degree from the UC Berkeley Graduate School of Journalism, with prior undergraduate work in both journalism and environmental studies. Olivia has had a variety of media jobs, from logistics and communication work at Students on Ice, an educational polar expedition organization, to leading open-source investigations that combat disinformation at the UC Berkeley Human Rights Center and working on documentaries that have been screened at film festivals from Svalbard to Addis Ababa. Olivia has been working alongside passionate researchers for much of her career, and one of her greatest joys is helping them ensure their important work is communicated accurately and effectively.</p> <p>Useful Links:</p> <p>Watch this video on Youtube: <a href="https://www.youtube.com/watch?v=aasLG7uOGAg Olivia's public profile and contact details: https://www.grida.no/staff/108">https://www.youtube.com/watch?v=aasLG7uOGAg </a></p> <p>Olivia's public profile and contact details: <a href="https://www.grida.no/staff/108">https://www.grida.no/staff/108</a></p> <p>Olivia's slides: <a href="https://www.youtube.com/redirect?event=video_description&redir_token=QUFFLUhqbE13RnFpMDZiMlFMSjlOLV9oMVRfWjFrdm5Zd3xBQ3Jtc0ttWlJVZzVPMGE1djNsTGgwcmMweUNpeUkwQVhCT1FSdy1wVEFTRjdlRVhRVW41dkZmODZWbUNLc1VBeVhfNW9lYnRqTTdJOEdhc1hBUzQtV0dvcUpDQjNiYzRUV0NpSDZ3UzRrRl9mSl90c3Z3cW9hVQ&q=https%3A%2F%2Fnextcloud.awi.de%2Fs%2F2Gnj8pprcia9mD6&v=aasLG7uOGAg">https://nextcloud.awi.de/s/2Gnj8pprci...</a></p> <p>List of databases mentioned: <a href="https://www.youtube.com/redirect?event=video_description&redir_token=QUFFLUhqbnVNenZNcEFLV01ielJrdFVQa3hkZlpDMnYyQXxBQ3Jtc0tsNXZOT2h3VHJtNTZ0akVtdzVLNFl3Smd1dmdvN1RVSnB6VXRacHFuSGZFM3hJUGtMOHI3UXpEaXhPWnRoOGZnOFYxYXdoTXdwN2JaSTBLb0Z5bERfczh1VEFiWUFfVDFQaDdBRktPT1I1cDdpVnVLRQ&q=https%3A%2F%2Fresearchguides.journalism.cuny.edu%2Ffindingexperts%2Fdiverse-experts&v=aasLG7uOGAg">https://researchguides.journalism.cun...</a></p> <p>GRID-Arendal media resources, free for reuse: <a href="https://www.youtube.com/redirect?event=video_description&redir_token=QUFFLUhqa0V3WVA2bUhHeVp5dUVLQUxRaW5pYU9UUm5jQXxBQ3Jtc0trYXBsUExha2d3QmMydzhDOEtaUjJnZU1DMElrdFE3QXV2Rmo5d0NSRXh6UWdhLTVjdC1XT0E3VkhIQUx0c193cjcwd0w4NEo4cnBFTzhfY19DYXlRR3FJTzd3VWtRZEl6dHFTOWJiVk9jekRYX1c5Yw&q=https%3A%2F%2Fwww.grida.no%2Fresources&v=aasLG7uOGAg">https://www.grida.no/resources</a></p> <p>Science communication citations: Bickford D, Posa MRC, Qie L, Campos-Arceiz A, Kudavidanage EP. Science communication for biodiversity conservation Biological conservation.. 2012 Jul;151(1):74-76. DOI: 10.1016/j.biocon.2011.12.016.</p> <p>Bullock OM, Shulman HC and Huskey R (2021) Narratives are Persuasive Because They are Easier to Understand: Examining Processing Fluency as a Mechanism of Narrative Persuasion. Front. Commun. 6:719615. doi: 10.3389/fcomm.2021.719615</p> <p>Márquez MC and Porras AM (2020) Science Communication in Multiple Languages Is Critical to Its Effectiveness. Front. Commun. <a href="https://www.youtube.com/watch?v=aasLG7uOGAg&t=331s">5:31</a>. doi: 10.3389/fcomm.2020.00031</p> <p>Pavelle S and Wilkinson C (2020) Into the Digital Wild: Utilizing Twitter, Instagram, YouTube, and Facebook for Effective Science and Environmental Communication. Front. Commun. 5:575122. doi: 10.3389/fcomm.2020.575122</p>
An experimental data set for analysis of the thermophysical behavior of a single-story mechanically ventilated double-skin façade (DSF) in fixed boundary conditions corresponding to winter/mid-season and summer cases
<p>Double-skin facades (DSFs) are dynamic and flexible building envelopes that employ a ventilated cavity to either prevent or reduce the solar-induced cooling load or exploit solar energy for passive solar heating. The mechanical ventilation of the cavity offers higher flexibility and control than natural ventilation, as the latter largely depends on stochastic and unpredictable external conditions. Furthermore, when mechanical ventilation rates are combined with the operation of a shading device, the possibilities for controlling the accumulated heat in the cavity of the DSF increase further. Therefore, this experimental campaign systematically investigates how these two important features interact in controlling the cavity's thermal load and airflow conditions. The measurement collected during the experiments constitutes a dataset that contains the results of a series of experimental runs where the different configurations of DSF, in terms of mechanical ventilation rate and venetian blinds, have been subjected to two representative boundary conditions through a climate simulator facility equipped with a solar simulator device. The full-scale DSF mock-up, which includes venetian blinds installed in a 200 mm ventilated cavity, is operated in this experiment in two modes: outdoor air curtain (OAC) and supply air (SA) mode. Tests were carried out under a steady-state regime with different boundary conditions. For the analysis of the utilization of the excess heat accumulated in the cavity and prevention of DSF overheating, boundary conditions corresponding to g-value calculations were selected. For the analysis of air preheating in the DSF cavity, the boundary conditions corresponding to late winter/mid-season weather (cold outdoor air and low-to-moderate solar irradiance) were chosen. The entire set of experimental data collected during the tests is made publicly available to enable the scientific community to access experimental data to further analyze this problem or for model validation purposes. The data set supplements the open-access paper entitled "<strong>Control of heat transfer in single-story mechanically ventilated facades</strong>" (<a href="https://doi.org/10.1016/j.enbuild.2022.112304">https://doi.org/10.1016/j.enbuild.2022.112304</a>), where additional information about the aims of the experiments, the detailed methods, and other data processing procedures can be found. The database is supported by a guide ("Guide.pdf"), where further explanations about how to read data and schematic drawings of the sensor layout are provided. The collection of experimental tests is divided into two files, according to two considered cases:</p> <ul> <li><strong>DSF operating in outdoor air curtain mode </strong>(24 steady-state measurements). The following factors were changed: mechanical ventilation rate (0, 10, 15, 20, 30, 40, 50, and 100 % of maximum fan power) and venetian blind configuration (closed θ=0 º, semi-open θ=45 º, and raised blinds). The outdoor and indoor temperatures, 30 ℃ and 25 ℃, and solar irradiance of 500 Wm<sup>-2</sup> were replicated. [file name: "Summer.csv"],</li> <li><strong>DSF operating in supply air mode</strong> (27 steady-state measurements). The following factors were changed: mechanical ventilation rate (0, 10, 15, 20, 30, 40, 50, 75, and 100 % of maximum fan power) and venetian blind configuration (closed θ=0 º, semi-open θ=45 º, and raised blinds). The outdoor and indoor temperatures, 10 ℃ and 25 ℃, and solar irradiance of 300 Wm<sup>-2</sup> were replicated. [file name: " Winter_MidSeason.csv"]</li> </ul> <p>Any inquiries about the experimental data can be sent to: <a href="mailto:aleksandar.jankovic@ntnu.no">aleksandar.jankovic@ntnu.no</a></p> <p>The activities presented in this paper were carried out within the research project "REsponsive, INtegrated, VENTilated - REINVENT – windows," supported by the Research Council of Norway through the research grant 262198, and the partners SINTEF, Hydro Extruded Solutions, Politecnico di Torino and Aalto University.</p>
The Story Map of the Royal Netherlands Standardization Institute (NEN) on Institutionalizing Responsibility
<p>The Royal Netherlands Standardization Institute (NEN) has started various research projects to explore how standardization can be made more socially responsible. The Delft University of Technology has explored what factors motivate, obstruct, and facilitate social responsibility in standardisation processes. As such, it supports NEN in understanding how it can better align its activities with the values, needs, and expectations of society.</p>
MEMEX_Ds6a_Stories_v1.0
<p>Text of the stories from Lisbon participants of the Memex project, resulting from group and individual dynamics. Collected during the facilitated workshop sessions with the pilot group participants, and stored in an anonymized format.</p>
Story Map of the Technical Research Centre of Finland (VTT)
<p>The Co-Change Lab at the Technical Research Centre of Finland (VTT) focuses on co-designing and implementing VTT’s sustainability programme. This work is a collaborative process that involves VTT’s sustainability responsibility researchers and the nominated responsibility task force.</p>
Story Map of the Council of Tampere Region on Responsible Regional Innovation Policy
<p>The Co-Change Lab at the Council of Tampere Region focuses on developing regional funding to improve responsibility and sustainability.</p>
Text-fig. 9. Wataria kvacekii sp. nov., UF 279-24556. a: Wood ring-porous, earlywood with 2–3 rows of wide pores, vessels solitary and in radial multiples of 2, axial parenchyma scanty vasicentric and some apotracheal diffuse-in-aggregates, TS. b: Series of vessel elements with simple perforations, axial parenchyma strands adjacent to vessels, RLS. c: Alternate intervessel pitting, vessel element end walls horizontal, RLS. d: Vessel-axial parenchyma pitting similar to intervessel pitting, RLS. e, f: Rays with tile cells, storied axial parenchyma, some strands chambered crystalliferous, TLS. g: Detail of ray, TLS. h: Storied imperforate elements. Scale bars: 200 µm in a; 100 µm in b, e; 50 µm in c, d, f, h; 20 µm in g. in A Diverse Assemblage Of Late Eocene Woods From Oregon, Western Usa
Text-fig. 9. Wataria kvacekii sp. nov., UF 279-24556. a: Wood ring-porous, earlywood with 2–3 rows of wide pores, vessels solitary and in radial multiples of 2, axial parenchyma scanty vasicentric and some apotracheal diffuse-in-aggregates, TS. b: Series of vessel elements with simple perforations, axial parenchyma strands adjacent to vessels, RLS. c: Alternate intervessel pitting, vessel element end walls horizontal, RLS. d: Vessel-axial parenchyma pitting similar to intervessel pitting, RLS. e, f: Rays with tile cells, storied axial parenchyma, some strands chambered crystalliferous, TLS. g: Detail of ray, TLS. h: Storied imperforate elements. Scale bars: 200 µm in a; 100 µm in b, e; 50 µm in c, d, f, h; 20 µm in g.
FIG. 1 in West Side Story: A molecular and morphological study of Caridina longicarpus Roux, 1926 (Decapoda, Caridea, Atyidae) from New Caledonia reveals a new species
FIG. 1. — Phylogenetic tree of the studied specimens of Caridina typus H. Milne Edwards, 1837, Caridina tupaia de Mazancourt, Marquet & Keith, 2019 and Caridina longicarpus Roux, 1926) obtained by Bayesian Inference method. Numbers above branches indicate Bayesian posterior probabilities; numbers under branches indicate Maximum Likelihood bootstrap numbers.
FIG. 4. — Caridina occidentalis n in West Side Story: A molecular and morphological study of Caridina longicarpus Roux, 1926 (Decapoda, Caridea, Atyidae) from New Caledonia reveals a new species
FIG. 4. — Caridina occidentalis n. sp.: A-G, I, L, M, MNHN-IU-2018-3311: first pereiopod (A), second pereiopod (B), third pereiopod (C), fifth pereiopod (D), dactylus of third pereiopod (E), dactylus of fifth pereiopod (F), telson (G); pre-anal carina (I), eggs (L); cephalothorax (M); H, MNHN-IU-2018-3312: uropodal diaeresis; J, K, holotype MNHN-IU-2018-3309: male first pleopod (J), male second pleopod (K). Scale bars: A-D, G, J-L, 0.5 mm; E, F, 0.1 mm; M, 1 mm.
FIG. 5. — A, B, Caridina occidentalis n in West Side Story: A molecular and morphological study of Caridina longicarpus Roux, 1926 (Decapoda, Caridea, Atyidae) from New Caledonia reveals a new species
FIG. 5. — A, B, Caridina occidentalis n. sp.: live coloration, female in right lateral view (A); live coloration, female, left lateral view of the rostrum (B); C, typical habitat, Nékouri river, Bourail, New Caledonia. Photographs: A, C, V. de Mazancourt; B, N. Charpin.
ScienceDex guides
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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.