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2,863 results for “Challenge”
Fig. 1 in Global and temporal spread of a taxonomically challenging invasive ant, Brachyponera chinensis (Hymenoptera: Formicidae)
Fig. 1. Distribution of Brachyponera chinensis in Asia presenting records identified as part of the B. chinensis species complex (light gray) and confirmed records of B. chinensis s.s. (dark gray).
FIGURE 1 in Challenges encountered during acid resin transfer preparation of fossil fish from Monte Bolca, Italy
FIGURE 1. Fourier-Transform Infrared spectrograph of the three existing polymers. Wavenumber refers to the wavelength of light and % Transmission refers to the amount of each wavelength that is transmitted through the sample. These are the parameters measured by the spectrometer to achieve an infra-red spectrum. Each peak is indicative of a different chemical bond and different substances will produce distinct patterns.
FIGURE 3. 1 in Challenges encountered during acid resin transfer preparation of fossil fish from Monte Bolca, Italy
FIGURE 3. 1, Yellowed resin shows dimpled (etched) surface. A glass plate has been added to enhance clarity. 2, Yellowed resin displaying severe cracking and near opacity.
FIGURE 2 in Challenges encountered during acid resin transfer preparation of fossil fish from Monte Bolca, Italy
FIGURE 2. Specimen NHMUK PV P1990 during preparation. 1, the block split into halves, showing mortar. 2, The underside of the block set in resin, the majority of the matrix has been removed mechanically. 3, The top of the block, with the exposed fossil, embedded in resin.
FIGURE 17. The topotypes from the H.M.S. Challenger station 271. 1-6 in Taxonomy and species diversity of Holocene pylonioid radiolarians from surface sediments of the northeastern Indian Ocean
FIGURE 17. The topotypes from the H.M.S. Challenger station 271. 1-6, Larcopyle cervicornis (Haeckel, 1887); 7-12, Larcopyle buetschlii buetschlii Dreyer, 1889. All are Pl-view at Type1. Scale bar equals 0.1 mm. All specimens are from H.M.S. Challenger Station 271 sample.
Dataset for the article Maintaining favourable carbon balance in boreal clay soil is challenging even under no-till and crop diversification
Open the record for dataset details and reuse information.
Dataset and code: Decarbonizing lithium-ion battery primary raw materials supply chain: Available strategies, mitigation potential and challenges
<p>Repository to share the data and code associated with the scientific article <strong>Istrate et al. Decarbonizing lithium-ion battery primary raw materials supply chain: Available strategies, mitigation potential and challenges. Joule (2024)</strong>. The repository contains data files and code to import the life cycle inventories (LCIs), reproduce the results, and generate the figures presented in the article.</p>
The PANORAMA Challenge: Public Training and Development Dataset (2)
<p>This dataset represents the <strong><a href="https://panorama.grand-challenge.org/" target="_blank" rel="noopener">PANORAMA</a>: Public Training and Development Dataset</strong>. It contains 2238 anonymized contrast-enhanced CT (CECT) scans acquired at two centers (Radboud University Medical Center, University Medical Center Groningen) based in The Netherlands. Additionally, it contains 194 cases from the <strong><a href="http://medicaldecathlon.com/" target="_blank" rel="noopener">Medical Segmentation Decathlon</a> </strong>dataset and 80 cases from<strong> <a href="https://www.cancerimagingarchive.net/collection/pancreas-ct/" target="_blank" rel="noopener">National Institutes of Health</a></strong>. For all updates/fixes regarding this dataset, please join the challenge and check out our <a href="https://grand-challenge.org/forums/forum/panorama-pancreatic-cancer-diagnosis-radiologists-meet-ai-711/topic/public-training-and-development-dataset-updates-and-fixes-2213/" target="_blank" rel="noopener">dedicated forum post</a> on this topic. The corresponding labels of the PANORAMA dataset can be found <a href="https://github.com/DIAGNijmegen/panorama_labels">here</a>. </p> <p>The PANORAMA challenge is an all-new grand challenge that aims to validate the diagnostic performance of artificial intelligence and radiologists at pancreatic ductal adenocarcinoma (PDAC) detection/diagnosis in CECT, with histopathology and follow-up (≥ 3 years) as the reference standard, in a retrospective setting in the hidden testing dataset. The study hypothesizes that state-of-the-art AI algorithms are non-inferior to radiologists reading CECT.</p> <p>Key aspects of the PANORAMA study design have been established in conjunction with an international scientific advisory board of 13 experts in AI and pancreas radiology as well as a patient representative —to unify and standardize present-day guidelines, and to ensure meaningful validation of pancreas AI towards clinical translation (<strong><a href="https://www.sciencedirect.com/science/article/pii/S2405456921001607">Reinke et al., 2021</a></strong>).</p> <p><em>This PANORAMA dataset contains: batch <strong>2</strong> <strong>out of 4</strong></em></p>
The PANORAMA Challenge: Public Training and Development Dataset (1)
<p>This dataset represents the <strong><a href="https://panorama.grand-challenge.org/" target="_blank" rel="noopener">PANORAMA</a>: Public Training and Development Dataset</strong>. It contains 2238 anonymized contrast-enhanced CT (CECT) scans acquired at two centers (Radboud University Medical Center, University Medical Center Groningen) based in The Netherlands. Additionally, it contains 194 cases from the <strong><a href="http://medicaldecathlon.com/" target="_blank" rel="noopener">Medical Segmentation Decathlon</a> </strong>dataset and 80 cases from<strong> <a href="https://www.cancerimagingarchive.net/collection/pancreas-ct/" target="_blank" rel="noopener">National Institutes of Health</a></strong>. For all updates/fixes regarding this dataset, please join the challenge and check out our <a href="https://grand-challenge.org/forums/forum/panorama-pancreatic-cancer-diagnosis-radiologists-meet-ai-711/topic/public-training-and-development-dataset-updates-and-fixes-2213/" target="_blank" rel="noopener">dedicated forum post</a> on this topic. The corresponding labels of the PANORAMA dataset can be found <a href="https://github.com/DIAGNijmegen/panorama_labels">here</a>. </p> <p>The PANORAMA challenge is an all-new grand challenge that aims to validate the diagnostic performance of artificial intelligence and radiologists at pancreatic ductal adenocarcinoma (PDAC) detection/diagnosis in CECT, with histopathology and follow-up (≥ 3 years) as the reference standard, in a retrospective setting in the hidden testing dataset. The study hypothesizes that state-of-the-art AI algorithms are non-inferior to radiologists reading CECT.</p> <p>Key aspects of the PANORAMA study design have been established in conjunction with an international scientific advisory board of 13 experts in AI and pancreas radiology as well as a patient representative —to unify and standardize present-day guidelines, and to ensure meaningful validation of pancreas AI towards clinical translation (<strong><a href="https://www.sciencedirect.com/science/article/pii/S2405456921001607">Reinke et al., 2021</a></strong>).</p> <p><em>This PANORAMA dataset contains: batch <strong>1</strong> <strong>out of 4</strong></em></p>
Urban Growth Strategy in Greater Sydney Leads to Unintended Social and Environmental Challenges
<p>A dataset of the manuscript "Urban Growth Strategy in Greater Sydney Leads to Unintended Social and Environmental Challenges", paper published in Nature Cities. The NVivo files contain all variables and causal relationships among the variables supported by quotations coded from the 1968, 2005 and 2018 urban planning reports in Greater Sydney. (1) <em>Sydney region: outline plan, 1970-2000 A.D – a strategy for development</em><em> </em>published by the NSW State Planning Authority<em>; </em>(2)<em> City of Cities. A plan for Sydney's Future</em> published by the NSW Department of Planning<em>; and </em>(3)<em> A Metropolis of Three Cities – connecting people</em> published by Greater Sydney Commission.</p>
Linked collectors and determiners for: A new genus of Chalcidoidea (Hymenoptera) from Chile with challenging taxonomic position.
Natural history specimen data linked to collectors and determiners held within, "A new genus of Chalcidoidea (Hymenoptera) from Chile with challenging taxonomic position". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/b1ce5385-27b2-47bf-90e2-aa861b4d64a7">https://bionomia.net/dataset/b1ce5385-27b2-47bf-90e2-aa861b4d64a7</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/b1ce5385-27b2-47bf-90e2-aa861b4d64a7">https://gbif.org/dataset/b1ce5385-27b2-47bf-90e2-aa861b4d64a7</a>. Formatted as a Frictionless Data package.
Webinar: Potential and challenges of certification and development of new labels
<p>The webinar will address the vital topic of new certifications and labels for the renewable, and especially bio-based, economy.</p> <p>Certification and labelling play a crucial role in empowering consumers to make informed and sustainable purchasing decisions by impeding greenwashing and instead providing credible and reliable sustainability information. Furthermore, they facilitate the tracking and traceability of biological and other renewable feedstock throughout value chains, fostering transparency and accountability among stakeholders of the industry. However, there are a lot of challenges for current certification and labelling schemes, since they are often not sufficiently laid-out for bio-based and other renewable products and their value-chains.</p> <p>In this webinar, REDcert and TÜV AUSTRIA will show their sytems for sustainability certification and will present new or soon to be published label and certification schemes (LCS) that are relevant for the bio-based economy. The speakers will talk about challenges on the way to the final label, and which gaps will be closed.</p> <p>Join us on November the 5th and listen to the two presentations by REDcert and TÜV AUSTRIA. Together, we will explore their innovative new LCS that will support shaping a strong circular EU (bio)economy.</p> <p>Speakers:</p> <p>Phillipe Dewolfs (TÜV AUSTRIA): From standardisation to communication – the role of a certification body<br>Simon Schwarzwald (REDcert): Certification of sustainable products in the REDcert² scheme</p> <p> </p>
Data from: The comparative biogeography of Philippine geckos challenges predictions from a paradigm of climate-driven vicariant diversification across an island archipelago
A primary goal of biogeography is to understand how large-scale environmental processes, like climate change, affect diversification. One often-invoked but seldom tested process is the so-called ''species-pump'' model, in which repeated bouts of co-speciation is driven by oscillating climate-induced habitat connectivity cycles. For example, over the past three million years, the landscape of the Philippine Islands has repeatedly coalesced and fragmented due to sea-level changes associated with the glacial cycles. This repeated climate-driven vicariance has been proposed as a model of speciation across evolutionary lineages codistributed throughout the islands. This model predicts speciation times that are temporally clustered around the times when interglacial rises in sea level fragmented the islands. Given the significance and conceptual impact the model has shown, surprisingly few tests of this prediction have been provided. We collected comparative genomic data from 16 pairs of insular gecko populations to test the prediction of temporally clustered divergences. Specifically, we analyze these data in a full-likelihood, Bayesian model-choice framework to test for shared divergence times among the pairs. Our results provide support against the species-pump model prediction in favor of an alternative interpretation, namely that each pair of gecko populations diverged independently. These results suggest the repeated bouts of climate-driven landscape fragmentation has not been an important mechanism of speciation for gekkonid lizards on the Philippine Islands. Interpretations of shared mechanisms of diversification historically have been pervasive in biogeography, often advanced on the basis of taxonomy-based depictions of species distributions. Our results call for possible re-evaluation of other, classic co-diversification studies in a variety of geographic systems.
Business Process Intelligence Challenge 2019 - Processed
<p>This dataset is the pre-processed version of the BPIC19 dataset. It contains potential confounding features, the treatment indicator, and the cycle time.</p>
PTHG21 Challenge
<p>In this document we introduce the PTHG21 Challenge, a series of constraint acquisition problems. We describe the organization of the challenge, the format of the data provided, and the result format that should be used. The required data are in the included zip file. Initial results of the challenge will be presented at the "Progress Towards the Holy Grail" workshop at the CP 2021 conference on October 2021.</p>
Figure 1 in Challenging the Wallacean shortfall: A total assessment of insect diversity on Guadeloupe (French West Indies), a checklist and bibliography
Figure 1. The islands of the Caribbean, with an arrow pointing to Guadeloupe in the Lesser Antilles.
Fig. 2. A in Conservation of Peninsular Malaysia's Karst Herpetofauna: A review of herpetological discoveries, research trends, and challenges
Fig. 2. A, Limnonectes blythii from an unnamed cave in Tambun, Perak; B, Limnonectes cf. macrognathus from Gua Wang Burma, Perlis; C, Phrynoidis asper from Gua Wang Burma, Perlis; D, Hylarana malayana from Gua Wang Burma, Perlis; E, Lycodon cavernicolus from Gua Wang Burma, Perlis; F, Elaphe taeniura ridleyi from Gua Wang Burma, Perlis; G, Cyclemys sp. from Gua Katak, Merapoh; H, Dogania subplana from Gua Wang Burma, Perlis. (Photographs by Liz Price [A & G] and Evan Quah [B–F & H]).
Fig. 1 in Conservation of Peninsular Malaysia's Karst Herpetofauna: A review of herpetological discoveries, research trends, and challenges
Fig. 1. Map of the main regions of karst in Peninsular Malaysia and selected areas of known herpetofaunal endemism. (1) Langkawi Archipelago, Kedah. (2) Nakawan Range that encompasses locations like Gua Wang Burma, Wang Kelian and Ulu Wang, as well as karst outcrops in Perlis like Bukit Cabang and Kuala Perlis. (3) Gunung Baling, Kedah. (4) Lenggong Valley, Perak. (5) Kinta Valley, Perak that encompasses locations such as Gua Kanthan, Gua Tempurung, Gunung Lanno, and Tambun. (6) Batu Caves and Dark Cave, Selangor. (7) Gunung Reng, Kelantan. (8) Gua Musang area, Kelantan that encompasses locations like Gua Bayu and Felda Chiku 7. (9) Merapoh, Pahang that encompasses locations like Gua Gunting and Gua Goyang. (10) Gunung Senyum, Pahang. (Map courtesy of Junn Kitt Foon and adapted from Liew et al. (2016)).
Fig. 3. A in Conservation of Peninsular Malaysia's Karst Herpetofauna: A review of herpetological discoveries, research trends, and challenges
Fig. 3. A, Cnemaspis cf. hangus from Felda Chiku 7, Kelantan; B, Cnemaspis biocellata from Gua Wang Burma, Perlis; C, Cyrtodactylus guakanthanensis from Gua Kanthan, Perak; D, Cyrtodactylus lenggongensis from Lenggong Valley, Perak; E, Cyrtodactylus hidupselamanya from Felda Chiku 7, Kelantan; F, Cyrtodactylus evanquahi from Gunung Baling, Kedah; G, Cyrtodactylus consobrinus from Curtain Cave, Pasoh, Negeri Sembilan; H, Calotes emma from Gua Kelam, Perlis. (Photographs by Ali Shamsul Bahar [G] and Evan Quah [A–F & H])
Figs. 41–49 in Redescription of Archaeoscelio Brues and Description of Three New Genera of Scelionidae (Hymenoptera): A Challenge to the Definition of the Family
Figs. 41–49. Detail of forewing venation; apex of wing to right. 41, Proplatygaster sp. (Platygastridae). 42, Nixonia watshami Johnson and Masner (Scelionidae: Nixoniini). 43, Sceliomorpha sp. (Scelionidae: Sparasionini). 44, Neuroscelio doddi Galloway, Masner, and Austin (Scelionidae: putatively Gryonini). 45, Heptascelio sp. (Scelionidae: Scelionini). 46, Oxyscelio sp. (Scelionidae: Baryconini). 47, Chromoteleia sp. (Scelionidae: Baryconini). 48, Phasgonophora sp. (Chalcidoidea: Chalcididae). 49, Liopteron sp. (Cynipoidea: Liopteridae). m, marginal vein; pm, postmarginal vein; sm, submarginal vein; st, stigmal vein. Scale bars in millimeters.
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.