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8,819 results for “new data”
Data from: New approaches to ceramic use and discard: cooking pottery from the Peruvian Andes in ethnoarchaeological perspective
Open the record for dataset details and reuse information.
Global Food Security-support Analysis Data (GFSAD) Cropland Extent 2015 Australia, New Zealand, China, Mongolia 30 m V001
The NASA Making Earth System Data Records for Use in Research Environments ([MEaSUREs](https://earthdata.nasa.gov/about/competitive-programs/measures)) Global Food Security-support Analysis Data (GFSAD) data product provides cropland extent data over Australia, New Zealand, China, and Mongolia for nominal year 2015 at 30 meter resolution (GFSAD30AUNZCNMOCE). The monitoring of global cropland extent is critical for policymaking and provides important baseline data that are used in many agricultural cropland studies pertaining to water sustainability and food security. The GFSAD30AUNZCNMOCE data product uses the pixel-based supervised classifier, Random Forest (RF), to retrieve cropland extent from a combination of Landsat 8 Operational Land Imager (OLI) and Landsat 7 Enhanced Thematic Mapper Plus (ETM+) data. Each GFSAD30AUNZCNMOCE GeoTIFF file contains a cropland extent layer that defines areas of cropland, non-cropland, and water bodies over a 10° by 10° area.Known Issues* Note overlapping tiles: The following tile also covers part of another tile in GFSAD30SEACE (Indonesia). Please ignore the Indonesian data in the following tile: GFSAD30AUNZCNMOCE_2015_S20E120_001_2017286154500.tif* Additional known issues, including constraints and limitations, are provided on page 22 of the ATBD.
Discovery of new candidate genes for rheumatoid arthritis through integration of genetic association data with expression pathway analysis
GEO Series GSE90081. Homo sapiens. 24 samples. Type: Expression profiling by high throughput sequencing.
Small Sample-Big Data: Integrative Indexed Systems Biology Reveals Dramatic Molecular Ontogeny over the First Week of Human Life in Papua New Guinea
GEO Series GSE123070. Homo sapiens. 50 samples. Type: Expression profiling by high throughput sequencing.
Expression data of whole genome and circRNA from new diagnostic AML patients (with or without EMI) and healthy volunteers
GEO Series GSE116618. Homo sapiens. 24 samples. Type: Expression profiling by array; Non-coding RNA profiling by array.
Expression data of whole genome from new diagnostic AML patients (with or without EMI) and healthy volunteers
GEO Series GSE116616. Homo sapiens. 12 samples. Type: Expression profiling by array.
New Cell lines Expanding the Diversity of Ewing Sarcoma Models – WGS Data
GEO Series GSE289062. Homo sapiens. 11 samples. Type: Other.
Expression data of circRNA from new diagnostic AML patients (with or without EMI) and healthy volunteers
GEO Series GSE116617. Homo sapiens. 12 samples. Type: Non-coding RNA profiling by array.
Application of a New Approach Methodology (NAM)-based Strategy for Genotoxicity Assessment of Data-poor Compounds
GEO Series GSE213454. Homo sapiens. 276 samples. Type: Expression profiling by high throughput sequencing.
New Cell lines Expanding the Diversity of Ewing Sarcoma Models – WXS Data
GEO Series GSE289064. Homo sapiens. 11 samples. Type: Other.
RNA Sequencing Data-driven Dissection of Human Plasma Cell Differentiation Reveals New Potential Transcription Regulators
GEO Series GSE148924. Homo sapiens. 12 samples. Type: Expression profiling by high throughput sequencing.
Data for the paper "New Vary-Chap scale height profile retrieved from COSMIC radio occultation data"
<p>This dataset works specifically for the paper Wu et al., (2020), New Vary-Chap scale height profile retrieved from COSMIC radio occultation data:</p> <p>Fig1_data.txt: Data for Figure 1</p> <p>Fig2_data.txt: Data for Figure 2</p> <p>Fig3_data.zip: Data for Figure 3</p> <p>Fig4_5_10_11_13_14_15_16_data.zip: Data for Figure 4, Figure 5, Figure 10, Figure 11, Figure 13, Figure 14, Figure 15, Figure 16. This dataset includes many columns to provide the materials for above figures.</p> <p>Fig6_data.zip: Data for Figure 6</p> <p>Fig7_data.zip: Data for Figure 7</p> <p>Fig8_data.zip: Data for Figure 8</p> <p>Fig9_data.zip: Data for Figure 9</p> <p>Fig12_data.zip: Data for Figure 12</p>
Figure 13 in New data on the taxonomy and distribution of Philippine Ochodaeidae and description of a new species from Central Visayas (Coleoptera: Scarabaeoidea)
Figure 13. Collecting site of C. eliotti (Huchet, 2014) in Leyte (photo courtesy: C. Darling, ROM).
Figure 12 in New data on the taxonomy and distribution of Philippine Ochodaeidae and description of a new species from Central Visayas (Coleoptera: Scarabaeoidea)
Figure 12. Ceratochodaeus eliotti (Huchet, 2014), male specimen from Leyte Island.
Figure 1 from: Kodada J, Jäch MA, Freitag H, Čiamporová-Zaťovičová Z, Goffová K, Selnekovič D, Čiampor Jr F (2020) Ancyronyx clisteri, a new spider riffle beetle species from Borneo, redescription of A. sarawacensis Jäch including a description of the larva and new distribution data for A. procerus Jäch using DNA barcodes (Coleoptera, Elmidae). ZooKeys 912: 25-64. https://doi.org/10.3897/zookeys.912.47796
Figure 1 Results of DNA COI analyses, maximum likelihood tree.
Figure 16 from: Kodada J, Jäch MA, Freitag H, Čiamporová-Zaťovičová Z, Goffová K, Selnekovič D, Čiampor Jr F (2020) Ancyronyx clisteri, a new spider riffle beetle species from Borneo, redescription of A. sarawacensis Jäch including a description of the larva and new distribution data for A. procerus Jäch using DNA barcodes (Coleoptera, Elmidae). ZooKeys 912: 25-64. https://doi.org/10.3897/zookeys.912.47796
Figure 16 Ancyronyx sarawacensis, holotype: A aedeagus, ventral view B same, lateral view.
FIG. 7 in The genus Navicordulia Machado & Costa, 1995 (Insecta, Odonata, Corduliidae s.str.): new species, identification key for males and data on ecology and distribution
FIG. 7. — Rock-bottomed stream near locus typicus, Barruol Mounts. Photo by Stéphane Brûlé.
Fig. 3 in New data on distribution and biology of the invasive species Hydrotaea aenescens (Wiedemann, 1830) (Diptera, Muscidae)
Fig. 3. Males of H.aenescens attempting to copulate with L.sericata (left) and C.vomitoria (right)
Data set for "Determining the minimum energy requirement of an LNG process: New insights into the impact of the vapour liquid equilibrium"
<p>Accompanying information for Xuan et al, 2020, "Determining the minimum energy requirement of an LNG process: New insights into the impact of the vapour liquid equilibrium", Energy, Paper number 117785, <a href="https://doi.org/10.1016/j.energy.2020.117785">https://doi.org/10.1016/j.energy.2020.117785</a></p>
Figure 1 from: Letardi A, Abdel-Dayem MS, Al Dhafer HM (2020) New faunal data on lacewings (Insecta, Neuroptera) collected from Saudi Arabia. ZooKeys 936: 111-148. https://doi.org/10.3897/zookeys.936.49962
Figure 1 Map of the Arabian Peninsula.
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.