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725 results for “Recommendation”
FIGURE 1 in Recommendations For Monitoring Avian Populations With Point Counts: A Case Study In Southeastern Brazil
FIGURE 1: Location of the Caetetus Ecological Station (EECa) within the municipalities of Gália and Alvinlândia in the state of São Paulo, southeastern Brazil. Darker shades of grey indicate remnant natural vegetation.
Recommended fossil calibrators for time-scaled molecular phylogenies of Afrotheria
<p>A phylogenetic framework provides the necessary evolutionary context for studies of comparative anatomy, life history, behavior, biogeography, systematics, and conservation. Time-scaled phylogenetic analyses require researchers to include calibration ages which are used to fit a model that transforms tree branch lengths into units of time. The inclusion of multiple calibration ages (if they are available) is a best practice that brings all the available evidence to bear on the temporal model. While selecting the appropriate ages of calibrating fossil taxa is obviously important, perhaps more relevant is where those calibrations are applied in the tree. A misattributed fossil calibrator (e.g., using a stem-taxon to set a minimum age on a tipward crown-node) can severely distort the results. Our aim is to provide a summary of fossil calibrators that can be used in molecular phylogenetic assessments of Afrotheria. The literature that documents these fossils, and discusses their ages and affiliations, is somewhat scattered. Included in this contribution are the oldest extinct species that are (in our opinion) securely attributable to stem lineages of afrotherian clades. Each informs a minimum age for the adjacent rootward tree node. We then assemble a large DNA supermatrix that includes 32 genes and 39 afrotherian genera – including recently extinct elephants and sea-cows. A time-scaled phylogenetic estimate is derived from this dataset with explicit inclusion of fossil taxa in the analysis.</p>
Recommendations for Monitoring Clinical Experience Following Implantation of the AcrySof® Toric
ClinicalTrials.gov study NCT00761488. IPD Sharing: Not stated. Countries: 1. Publications: 0.
An Application Provides Temperature-related Health Risk Warnings and Protective Recommendations on Stroke
ClinicalTrials.gov study NCT07097428. IPD Sharing: NO. Countries: 0. Publications: 0.
Evaluation of a Clinical Support Website for the Management of Common Mental Health Conditions in Primary Care on Compliance With Benzodiazepine Prescribing Recommendations
ClinicalTrials.gov study NCT07379073. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Implementation Study of Treatment Optimization Recommendations on Relapsing-Remitting Multiple Sclerosis (RR MS) Subjects
ClinicalTrials.gov study NCT00101959. IPD Sharing: Not stated. Countries: 0. Publications: 0.
A Canadian Study Assessing the Utility of the Treatment Optimization Recommendations in Multiple Sclerosis
ClinicalTrials.gov study NCT01142583. IPD Sharing: Not stated. Countries: 0. Publications: 0.
The Impact of a Dietitian in the Implementation of Nutrition Recommendations During Intensive Care
ClinicalTrials.gov study NCT01749488. IPD Sharing: Not stated. Countries: 0. Publications: 0.
A Phase 1a/1b Study to Determine the Recommended Phase 2 Dose, of Tepotinib in Participants With MET Alterations and Brain Tumors
ClinicalTrials.gov study NCT05120960. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Research on an Intelligent Health Recommendation System for Chronic Disease Comorbidity Integrating TCM
ClinicalTrials.gov study NCT07308366. IPD Sharing: UNDECIDED. Countries: 0. Publications: 0.
Evaluating the Health Benefits of Physical Activity Recommendations in the Dietary Guidelines
ClinicalTrials.gov study NCT01687803. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Parents' Adherence to Treatment Recommendations
ClinicalTrials.gov study NCT03067649. IPD Sharing: NO. Countries: 0. Publications: 0.
Nutrition Recommendation Intervention trialS in Children's Healthcare
ClinicalTrials.gov study NCT05477628. IPD Sharing: NO. Countries: 0. Publications: 0.
Should Any One Airway Clearance Technique be Recommended for People With Cystic Fibrosis?
ClinicalTrials.gov study NCT00890370. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Safety and Immunogenicity of Surface Antigen, Inactivated, Influenza Vaccine Using the Strain Composition 2009/2010 Recommended in Northern Hemisphere in Non-elderly Adult and in Elderly Subjects
ClinicalTrials.gov study NCT00918268. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Realization of the Recommendation for Influenza Vaccination in Pregnant Women
ClinicalTrials.gov study NCT03007797. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Recommended fossil calibrators for time-scaled molecular phylogenies of Afrotheria
Open the record for dataset details and reuse information.
Delineating the transcriptional network of prognostic gene signatures refines treatment recommendations for lymph node negative breast cancer patients
GEO Series GSE62369. Mus musculus. 4 samples. Type: Expression profiling by array.
Evaluation Data for "Semantic Modelling of Citation Contexts for Context-aware Citation Recommendation"
<p><strong>Contents</strong><br> <br> The four CSV files are the data used for the evaluation in:</p> <ul> <li>Saier T., Färber M. (2020) Semantic Modelling of Citation Contexts for Context-Aware Citation Recommendation. In: Advances in Information Retrieval. ECIR 2020. Lecture Notes in Computer Science, vol 12035.</li> <li>DOI: <a href="http://doi.org/10.1007/978-3-030-45439-5_15">10.1007/978-3-030-45439-5_15</a></li> <li>Code: <a href="https://github.com/IllDepence/ecir2020">github.com/IllDepence/ecir2020</a></li> </ul> <p>The evaluation was conducted in a citation re-prediction setting.</p> <p><strong>CSV Format</strong></p> <ul> <li>7 columns divided by \u241E <ol> <li>cited document ID <ul> <li>for *_nomarker.csv: citation marker position ambiguous</li> <li> for *_withmarker.csv: citation marker position at 'MAINCIT' in citation context</li> </ul> </li> <li>adjacent cited document IDs <ul> <li>only given in citrec_unarxive_*.csv</li> <li>divided by \u241F</li> <li>order matches 'CIT' markers in citation context</li> </ul> </li> <li>citing document ID</li> <li>citation context</li> <li>MAG field of study IDs <ul> <li>divided by \u241F</li> </ul> </li> <li>predicate:argument tuples generated based on PredPatt <ul> <li>JSON</li> </ul> </li> <li>noun phrases <ul> <li>for *_nomarker.csv: divided by \u241F</li> <li>for *_withmarker.csv: <ul> <li>divided by \u241D into</li> <li>noun phrases</li> <li>noun phrase directly preceding citation marker</li> </ul> </li> </ul> </li> </ol> </li> </ul> <p><strong>Data Sources</strong></p> <ol> <li>citrec_unarxive_cs_withmarker.csv <ul> <li>data set <ul> <li>unarXive</li> <li>Paper DOI: <a href="http://doi.org/10.1007/s11192-020-03382-z">10.1007/s11192-020-03382-z</a></li> <li>Data DOI: <a href="http://doi.org/10.5281/zenodo.2553522">10.5281/zenodo.2553522</a></li> </ul> </li> <li>filter <ul> <li>citing doc from computer science</li> <li>cited doc is cited at least 5 times</li> </ul> </li> </ul> </li> <li>citrec_mag_cs_en.csv <ul> <li>data set <ul> <li>Microsoft Academic Graph (MAG)</li> <li>Paper DOI: <a href="http://doi.org/10.1145/2740908.2742839">10.1145/2740908.2742839</a></li> </ul> </li> <li>filter <ul> <li>citing doc from computer science and in English</li> <li>citing doc abstract in MAG given</li> <li>cited doc is cited at least 50 times</li> </ul> </li> </ul> </li> <li>citrec_refseer.csv <ul> <li>data set <ul> <li>RefSeer</li> <li>Paper URL: <a href="http://ojs.aaai.org/index.php/AAAI/article/view/9528">ojs.aaai.org/index.php/AAAI/article/view/9528</a></li> <li>Data URL: <a href="http://ojs.aaai.org/index.php/AAAI/article/view/9528">psu.app.box.com/v/refseer</a></li> </ul> </li> <li>filter <ul> <li>for citing and cited docs title, venue, venuetype, abstract, and year not NULL</li> </ul> </li> </ul> </li> <li>citrec_acl-arc_withmarker.csv <ul> <li>data set <ul> <li>ACL ARC</li> <li>Paper URL: <a href="http://aclanthology.org/L08-1005">aclanthology.org/L08-1005</a></li> <li>Data URL: <a href="http://acl-arc.comp.nus.edu.sg/">acl-arc.comp.nus.edu.sg/</a></li> </ul> </li> <li>filter <ul> <li>cited doc has a DBLP ID</li> </ul> </li> </ul> </li> </ol> <p> </p> <p><strong>Paper Citation</strong></p> <pre>@inproceedings{Saier2020ECIR, author = {Tarek Saier and Michael F{\"{a}}rber}, title = {{Semantic Modelling of Citation Contexts for Context-aware Citation Recommendation}}, booktitle = {Proceedings of the 42nd European Conference on Information Retrieval}, pages = {220--233}, year = {2020}, month = apr, doi = {10.1007/978-3-030-45439-5_15}, } </pre>
Delineating the Transcriptional Network of Prognostic Gene Signatures Refines Treatment Recommendations for Lymph Node-negative Breast Cancer Patients
GEO Series GSE62425. Homo sapiens. 4 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.