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Dataset results
33 results for “Materials screening”
Supplementary material: Efficient in vivo screening method for the identification of C4 photosynthesis inhibitors based on cell suspensions of the single-cell C4 plant Bienertia sinuspersici
<p>Data described in Minges et al. (2019) Efficient <em>in vivo</em> screening method for the identification of C<sub>4</sub> photosynthesis inhibitors based on cell suspensions of the single-cell C<sub>4</sub> plant <em>Bienertia sinuspersici</em>. doi: <a href="https://doi.org/10.3389/fpls.2019.01350">10.3389/fpls.2019.01350</a></p> <p> </p>
BARCODE: high throughput screening and analysis of soft active materials
Open the record for dataset details and reuse information.
Supplementary Material for the paper: Automatic Document Screening of Medical Literature Using Word and Text Embeddings in an Active Learning Setting
<p>This is the dataset used in the paper: Automatic Document Screening of Medical Literature Using Word and Text Embeddings in an Active Learning Setting. </p> <p>It is composed of: </p> <p>- Pre-trained models using active learning for document screening on HealthCLEF and Epistemonikos datasets. </p> <p>- Epistemonikos and HealthCLEF datasets containing medical questions and relevant/non relevant articles. </p> <p>- Embeddings and Document Representations used for experiments on both datasets. </p> <p>Scripts to run experiments can be found at: <a href="https://github.com/afcarvallo/active_learning_document_screening">https://github.com/afcarvallo/active_learning_document_screening</a></p> <p> </p> <p><strong>Paper abstract:</strong></p> <p>Document screening is a fundamental task within Evidence-based Medicine (EBM), a practice that provides scientific evidence to support medical decisions. Several approaches have tried to reduce physicians' workload of screening and labeling vast amounts of documents to answer clinical questions. Previous works tried to semi-automate document screening, reporting promising results, but their evaluation was conducted on small datasets, which hinders generalization. Moreover, recent works in natural language processing have introduced neural language models, but none have compared their performance in EBM. In this paper, we evaluate the impact of several document representations such as TF-IDF along with neural language models (BioBERT, BERT, Word2vec, and GloVe) on an active learning-based setting for document screening in EBM. Our goal is to reduce the number of documents that physicians need to label to answer clinical questions. We evaluate these methods using both a small challenging dataset (HealthCLEF 2017) as well as a larger one but easier to rank (Epistemonikos). Our results indicate that word as well as textual neural embeddings always outperform the traditional TF-IDF representation. When comparing among neural and textual embeddings, in the HealthCLEF dataset the models BERT and BioBERT yielded the best results. On the larger dataset, Epistemonikos, Word2Vec and BERT were the most competitive, showing that BERT was the most consistent model across different corpuses. In term of active learning, an uncertainty sampling strategy combined with logistic regression achieved the best performance overall, above other methods under evaluation, and in fewer iterations.</p>
Deliverable D1.4 - Supplementary material : Dataset on CS#2 Danube Suspect Screening Results Table : H2020 PROMISCES project
<p>Additional information on PROMISCES deliverable D1.4. Data set with list of substances identified in samples from the Danube catchment between Vienna and Budapest (CS#2) by suspect screening and database comparison and corresponding peak intensities. These data are non-target data, the measured intensities do not correspond to concentrations.</p>
Supporting information from Prospective environmental risk screening of seven advanced materials based on production volumes and aquatic ecotoxicity
<p>Supporting information (Opne data) for the publication Prospective environmental risk screening of seven advanced materials based on production volumes and aquatic ecotoxicity</p>
Supplementary material 1 from: Guilder J, Copp GH, Thrush MA, Stinton N, Murphy D, Murray J, Tidbury HJ (2022) Threats to UK freshwaters under climate change: Commonly traded aquatic ornamental species and their potential pathogens and parasites. In: Giannetto D, Piria M, Tarkan AS, Zięba G (Eds) Recent advancements in the risk screening of freshwater and terrestrial non-native species. NeoBiota 76: 73-108. https://doi.org/10.3897/neobiota.76.80215
Threats to UK freshwaters under climate change: Commonly traded aquatic ornamental species and their potential pathogens and parasites
Supplementary material 1 from: Mumladze L, Kuljanishvili T, Japoshvili B, Epitashvili G, Kalous L, Vilizzi L, Piria M (2022) Risk of invasiveness of non-native fishes in the South Caucasus biodiversity and geopolitical hotspot. In: Giannetto D, Piria M, Tarkan AS, Zięba G (Eds) Recent advancements in the risk screening of freshwater and terrestrial non-native species. NeoBiota 76: 109-133. https://doi.org/10.3897/neobiota.76.82776
Combined AS-ISK report including the 96 screenings for the 32 fish species screened for the South Caucasus
Supplementary material 1 from: Marić A, Špelić I, Radočaj T, Vidović Z, Kanjuh T, Vilizzi L, Piria M, Nikolić V, Škraba Jurlina D, Mrdak D, Simonović P (2022) Changing climate may mitigate the invasiveness risk of non-native salmonids in the Danube and Adriatic basins of the Balkan Peninsula (south-eastern Europe). In: Giannetto D, Piria M, Tarkan AS, Zięba G (Eds) Recent advancements in the risk screening of freshwater and terrestrial non-native species. NeoBiota 76: 135-161. https://doi.org/10.3897/neobiota.76.82964
Combined AS-ISK report including the 68 screenings for the 17 salmonid species screened for the Danube and Adriatic basins of Bosnia and Herzegovina, Croatia, Montenegro and Serbia (including Kosovo)
Supplementary material 2 from: Piria M, Radočaj T, Vilizzi L, Britvec M (2022) Climate change may exacerbate the risk of invasiveness of non-native aquatic plants: the case of the Pannonian and Mediterranean regions of Croatia. In: Giannetto D, Piria M, Tarkan AS, Zięba G (Eds) Recent advancements in the risk screening of freshwater and terrestrial non-native species. NeoBiota 76: 25-52. https://doi.org/10.3897/neobiota.76.83320
Combined AS-ISK report for the 24 non-native aquatic plant species screened for their potential risk of invasiveness in the Pannonian and Mediterranean regions of Croatia.
Supplementary material 1 from: Cimarelli L, Giuliodori A, Brandi A, Adamkiewicz K, Spurio R, Fabbretti A (2017) Screening an Archetypal Collection of Microorganisms for the Presence of Unexplored Antimicrobial Compounds. BioDiscovery 20: e10763. https://doi.org/10.3897/biodiscovery.20.e10763
Screening an archetypal collection of microorganisms for the presence of unexplored antimicrobial compounds
Supplementary material 1 from: Huemer P, Karsholt O, Mutanen M (2014) DNA barcoding as a screening tool for cryptic diversity: an example from Caryocolum, with description of a new species (Lepidoptera, Gelechiidae). ZooKeys 404: 91-111. https://doi.org/10.3897/zookeys.404.7234
Sample information for specimens included in this study.: Explanation note: Process IDs are sequence identifiers in BOLD; Sample IDs are specimen identifiers; BINs are Barcode Identification Numbers in BOLD. Details of collecting data, images, sequences, and trace files for the barcoded specimens are available in the public BOLD dataset "DS-LECARY", accessed at dx.doi.org/10.5883/DS-LECARY.
Supplementary material 1 from: Báthori F, Pfliegler WP, Zimmerman C-U, Tartally A (2017) Online image databases as multi-purpose resources: discovery of a new host ant of Rickia wasmannii Cavara (Ascomycota, Laboulbeniales) by screening AntWeb.org. Journal of Hymenoptera Research 61: 85-94. https://doi.org/10.3897/jhr.61.20255
Online image databases as multi-purpose resources: Rickia wasmannii Cavara (Ascomycota, Laboulbeniales) on a new host ant from a new country by screening AntWeb.org :
Health communication materials developed to promote NCD screening in Ethiopia
<p>These health communication materials are developed by the School of Public Health, Addis Ababa University to promote NCD screening in Ethopia. </p>
Data from: High-throughput screening of inorganic compounds for dielectric and optical properties to enable the discovery of novel materials
Dielectrics are an important class of materials that are ubiquitous in modern electronic applications. Even though their properties are important for the performance of devices, the number of compounds with known dielectric constant is on the order of a few hundred. Here, we use Density Functional Perturbation Theory as a way to screen for the dielectric constant and refractive index of materials in a fast and computationally efficient way. Our results form the largest database to date, containing the full dielectric tensor for 1,056 compounds. Details regarding the computational methodology and technical validation are presented along with the format of our publicly available data. In addition, we integrate our dataset with the Materials Project allowing users easy access to material properties. Finally, we explain how our dataset and calculation methodology can be used in the search for novel dielectric compounds.
Supplementary material 1 from: Ruswanto R, Mardianingrum R, Septian AD, Yanuar A (2023) The design and virtual screening of thiourea derivatives as a Sirtuin-1 inhibitor. Pharmacia 70(4): 1335-1344. https://doi.org/10.3897/pharmacia.70.e108012
The structure and docking results of the 1-benzoyl-3-methylthioureas derivatives
Supplementary material 2 from: Voynikov Y, Gevrenova R, Zheleva-Dimitrova D, Balabanova V, Nikolova I, Marinov L, Benbassat I, Momekov G (2023) UHPLC-Orbitrap screening of oleraindoles in hydromethanolic extracts of Portulaca oleracea. Pharmacia 70(4): 1521-1527. https://doi.org/10.3897/pharmacia.70.e113577
Scripts
Supplementary material 1 from: Voynikov Y, Gevrenova R, Zheleva-Dimitrova D, Balabanova V, Nikolova I, Marinov L, Benbassat I, Momekov G (2023) UHPLC-Orbitrap screening of oleraindoles in hydromethanolic extracts of Portulaca oleracea. Pharmacia 70(4): 1521-1527. https://doi.org/10.3897/pharmacia.70.e113577
MS/MS spectra of identified compounds
Supplementary material 1 from: Ha T-K-Q, Pham-Khanh N-H, Nguyen T-K (2024) Molecular docking screening, dynamics simulations, ADMET, and semi-synthesis prediction of flavones and flavonols from the COCONUT database as potent bifunctional neuraminidase inhibitors. Pharmacia 71: 1-10. https://doi.org/10.3897/pharmacia.71.e114967
Supporting data
Supplementary material 1 from: Mateev E, Irfan A, Mateeva A, Kondeva-Burdina M, Georgieva M, Zlatkov A (2024) In silico and in vitro screening of pyrrole-based Hydrazide-Hydrazones as novel acetylcholinesterase inhibitors. Pharmacia 71: 1-7. https://doi.org/10.3897/pharmacia.71.e114120
Docking scores and MM/GBSA recalculation of the applied dataset
Supplementary material 3 from: Bernardo-Madrid R, González-Moreno P, Gallardo B, Bacher S, Vilà M (2022) Consistency in impact assessments of invasive species is generally high and depends on protocols and impact types. In: Giannetto D, Piria M, Tarkan AS, Zięba G (Eds) Recent advancements in the risk screening of freshwater and terrestrial non-native species. NeoBiota 76: 163-190. https://doi.org/10.3897/neobiota.76.83028
Figure S1
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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.