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617 results for “base population”
Gene expression data of mRNA from longissimus muscle sample of F2 population based German Landrace (DL) and Pietrain (Pi) pig breeds
GEO Series GSE162754. Sus scrofa. 118 samples. Type: Expression profiling by array.
Gene expression data of micro RNA from skeletal muscle sample of F2 population based German Landrace (DL) and Pietrain (Pi) pig breeds
GEO Series GSE162755. Sus scrofa. 118 samples. Type: Non-coding RNA profiling by array.
Epigenomic-based identification of major cell identity regulators within heterogeneous cell populations
GEO Series GSE89606. Gallus gallus. 12 samples. Type: Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing.
AMD3100 and G-CSF Mobilize Different CD34+ Cell Populations Based on Gene and miRNA Expression
GEO Series GSE16936. Mus musculus; Rattus norvegicus; Human gammaherpesvirus 8; Homo sapiens; human gammaherpesvirus 4; Betapolyomavirus macacae; Macaca mulatta. 36 samples. Type: Expression profiling by array; Non-coding RNA profiling by array.
NKX2-2 based nuclei sorting on human archival pancreas enables the enrichment of islet endocrine populations for single nucleus RNA sequencing
GEO Series GSE252614. Homo sapiens. 5 samples. Type: Expression profiling by high throughput sequencing.
FIGURE 3. UPGMA dendrogram for Medicago rigidula and M in Molecular studies of Iranian populations support the morphology-based taxonomic separation of Medicago rigidula and M. rigiduloides
FIGURE 3. UPGMA dendrogram for Medicago rigidula and M. rigiduloides populations accessions based on Dice similarity. For an explanation of populations' abbreviation, see Table 1.
Evolution of the breeding bird populations in the Drugeon basin, Franche-Comté, France, based on IPA (1998-2020)
<p>Counts were carried out using the IPA method described in Blondel et al (1970), IBCC (1977) and Blondel et al (1981). According to the protocol, two passes with a twenty-minute data collection per listening point were carried out each year (end of April and beginning of May for early breeders and end of May and beginning of June for late breeders), in the morning, in good weather and no wind. A value of 1 is assigned to a species for any visual or auditory contact with a pair, an occupied nest, a family, an adult carrying food, or a singing male, and a value of 0.5 is assigned to a single non-singing bird. The values per species and per passage are added up to a maximum index of 5. For each listening point, the best index of the two passages was retained for the analysis. Data collection was carried out between 6.30 and 9.00 a.m. during the first pass and between 6.00 and 9.00 a.m. during the second. <strong>For more details see Michelat et al. (2023) full reference below.</strong></p> <p><em>IPA distribution according to years and habitats</em></p> <table> <tbody> <tr> <td> </td> <td>Forest</td> <td>Marshes and peatbogs</td> <td>Dry grassland</td> <td>Water body</td> <td>Meadows and pastures</td> <td>River</td> </tr> <tr> <td>1998</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>15</td> </tr> <tr> <td>1999</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>20</td> </tr> <tr> <td>2006</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>20</td> </tr> <tr> <td>2007</td> <td>0</td> <td>0</td> <td>19</td> <td>0</td> <td>0</td> <td>20</td> </tr> <tr> <td>2008</td> <td>8</td> <td>35</td> <td>0</td> <td>12</td> <td>5</td> <td>0</td> </tr> <tr> <td>2009</td> <td>0</td> <td>35</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> </tr> <tr> <td>2010</td> <td>8</td> <td>0</td> <td>0</td> <td>12</td> <td>5</td> <td>0</td> </tr> <tr> <td>2011</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>20</td> </tr> <tr> <td>2012</td> <td>0</td> <td>0</td> <td>19</td> <td>0</td> <td>0</td> <td>20</td> </tr> <tr> <td>2013</td> <td>8</td> <td>36</td> <td>0</td> <td>12</td> <td>5</td> <td>0</td> </tr> <tr> <td>2014</td> <td>0</td> <td>36</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> </tr> <tr> <td>2015</td> <td>8</td> <td>0</td> <td>0</td> <td>14</td> <td>5</td> <td>0</td> </tr> <tr> <td>2016</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>20</td> </tr> <tr> <td>2017</td> <td>0</td> <td>0</td> <td>19</td> <td>0</td> <td>0</td> <td>20</td> </tr> <tr> <td>2018</td> <td>8</td> <td>36</td> <td>0</td> <td>14</td> <td>5</td> <td>0</td> </tr> <tr> <td>2019</td> <td>0</td> <td>36</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> </tr> <tr> <td>2020</td> <td>8</td> <td>0</td> <td>0</td> <td>14</td> <td>5</td> <td>0</td> </tr> </tbody> </table> <p><strong>FILE DESCRIPTION</strong></p> <p><a href="https://zenodo.org/record/7716547/files/IPA_localisation.txt?download=1">IPA_localisation.txt</a></p> <ul> <li>id, IPA Id: digit 1-2, habitat; digit 3-4, IPA number within the habitat</li> <li>habitat</li> <li>iddom, second ID in clear</li> <li>commune</li> <li>lieu, locality</li> <li>long, longitude</li> <li>lat, latitude</li> <li>alt, altitude</li> <li>rnr, Réserve naturelle régionale (yes/no)</li> <li>natura, Natura 2000 area (yes/no)</li> <li>apb, Arrêté de protection de biotope (yes/no)</li> </ul> <p><a href="https://zenodo.org/record/7716547/files/Observations.txt?download=1">Observations.txt</a> IPA values</p> <ul> <li>idipa, IPA Id: digit 1-2, habitat; digit 3-4, IPA number within the habitat</li> <li>an, year</li> <li>column 3 to 144 species names (used to join with the table <a href="http://zenodo.org/record/7716547/files/Species_statuts.txt?download=1">Species_statuts.txt</a><a href="https://zenodo.org/record/7716547/files/Observations.txt?download=1">)</a></li> </ul> <p><a href="http://zenodo.org/record/7716547/files/Species_statuts.txt?download=1">Species_statuts.txt</a></p> <ul> <li>id, id number</li> <li>nom, common name (in French)</li> <li>nomlat, latin name</li> <li>nomab, abridged name (used to join with the table <a href="https://zenodo.org/record/7716547/files/Observations.txt?download=1">Observations.txt)</a>.</li> <li>lre, European red or orange list (LR-CR, red list, critically endangered: LR-EN, red list, endangered; LR-VU, red list, vulnerable; LO-NT, orange list, nearly threatened)</li> <li>lre27, red or orange list in the European Union (27 countries)</li> <li>lrf, French red or orange list</li> <li>lrfc, red of orange list in Franche-Comté</li> <li>lr, present on at least one of 4 red lists</li> <li>lo, present on at least one of 4 orange lists</li> <li>lro, present on at least one of 4 red or orange lists</li> <li>hn, habitat (national)</li> <li>hr, habitat (regional)</li> <li>pref, preference</li> <li>mig, migratory status</li> </ul> <p><strong>SUPPLEMENTARY MATERIAL</strong></p> <ul> <li><a href="https://zenodo.org/record/7716547/files/IPA_distribution_map.png?download=1">IPA_distribution_map.png </a>Map of the IPA locations in the Drugeon basin. The red line indicates the limits of the Natura 2000 Special Protection Area. BD ORTHO © cartographic background kindly provided for research by IGN.</li> <li><a href="https://zenodo.org/record/7716547/files/Graphics.zip?download=1">Graphics.zip</a> Boxplots</li> </ul> <p><strong>BIBLIOGRAPHY</strong></p> <p>Blondel (J.), Ferry (C.) et Frochot (B.) 1970. - La méthode des indices ponctuels d’abondance (IPA) ou relevés d’avifaune par « station s’écoute ». <em>Alauda, </em>38 : 55-71. <a href="https://bibliotheques.mnhn.fr/medias/doc/EXPLOITATION/IFD/MNHN_ALAUD_1970_T038_N001/alauda">Available here</a></p> <p>Blondel (J.), Ferry (C.) & Frochot (B.) 1981. - Points counts with unlimited distance. <em>Studies in Avian Biology, </em>6 : 414-419. <a href="https://sora.unm.edu/node/139141">Available here</a></p> <p>IBCC 1977. - Censuring breeding bird by IPA method. <em>Polish Ecological Studies, </em>3 : 15-17.</p> <p>Michelat, D., Dupuis, O., Vaniscotte, A., Giraudoux, P., 2023. Quarante ans d’évolution du peuplement d’oiseaux nicheurs dans le bassin du Drugeon, Franche-Comté, France. <em>Alauda</em>, 91 (2) : 1-80.</p>
Health Status Prior and Post Infection With Influenza or COVID 19: a Population Based Retrospective Analysis of 2016-2021
ClinicalTrials.gov study NCT05087355. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Effect of Weekend Admission on Mortality Associated With Severe Acute Kidney Injury in England: a Propensity Score Matched, Population-based Study
ClinicalTrials.gov study NCT02947698. IPD Sharing: NO. Countries: 0. Publications: 0.
Description of Joint Population and Assessment of Impact on Health Status of Orencia in Patients With Rheumatoid Arthritis in France. A Database Analysis Based on SFR's ORA Long-term Cohort Study
ClinicalTrials.gov study NCT01694693. IPD Sharing: Not stated. Countries: 0. Publications: 0.
The Association Between Food Insecurity and Incident Type 2 Diabetes in Canada: A Population-based Cohort Study
ClinicalTrials.gov study NCT03243136. IPD Sharing: NO. Countries: 0. Publications: 0.
Health Status of Patients After Surgically Implanted Biological and TAVI: a Population-based Retrospective Analysis
ClinicalTrials.gov study NCT05912660. IPD Sharing: NO. Countries: 0. Publications: 0.
Textural Analysis of Mandibular Trabecular Bone Based on Grey Level Co-occurrence Matrix Features in Correlation With Age and Gender of an Egyptian Population Sample: A Cross-sectional Study Using Con
ClinicalTrials.gov study NCT05128565. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Robot-assisted Surgery for Colorectal Cancer Resection: A Population-based Analysis of Prevalence, Trends and Outcomes
ClinicalTrials.gov study NCT06959849. IPD Sharing: NO. Countries: 0. Publications: 0.
A Cohort Study on Screening and Follow-up of High-risk Population of PDAC Based on EUS
ClinicalTrials.gov study NCT05621824. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Population-based Intervention to Promote Health in Elementary Schools
ClinicalTrials.gov study NCT02136160. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Cloud-based ECG Monitoring and Healthcare Model Building on the Population With Coronary Artery Revascularization
ClinicalTrials.gov study NCT04485143. IPD Sharing: UNDECIDED. Countries: 0. Publications: 0.
Palmoplantar Pustulosis and Generalized Pustular Psoriasis: A National Population-based Analysis of Prevalence
ClinicalTrials.gov study NCT04566471. IPD Sharing: NO. Countries: 0. Publications: 0.
Health Status of < 50 Year Old Patients After Surgically Implanted Biological and Mechanical Aortic Valves: a Population-based Retrospective Analysis (2010-2020)
ClinicalTrials.gov study NCT05627973. IPD Sharing: NO. Countries: 0. Publications: 0.
Health Status of Patients After Surgically Implanted Biological and Mechanical Aortic Valves: a Population-based Retrospective Analysis (2010-2018)
ClinicalTrials.gov study NCT04900909. IPD Sharing: NO. Countries: 0. Publications: 0.
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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.