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1,509 results for “Calibrations”
Data from: Combining phylogenomic and supermatrix approaches, and a time-calibrated phylogeny for squamate reptiles (lizards and snakes) based on 52 genes and 4162 species
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Monitoring small mammal abundance using NEON data: Are calibrated indices useful?
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The power of vision: Calibration of auditory space after sight restoration from congenital cataracts
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Data from: Marine strontium isotopes preserved in fossil shark teeth calibrate Neogene land mammal evolution
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Calibration of probability predictions from machine-learning and statistical models
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ECOSTRESS At-sensor Calibrated Radiance Daily L1B Global 70m V001
The ECO1BRAD Version 1 data product was decommissioned on May 21, 2025. Users are encouraged to use the [ECO_L1CT_RAD](https://doi.org/10.5067/ECOSTRESS/ECO_L1CT_RAD.002) Version 2 and [ECO_L1CG_RAD](https://doi.org/10.5067/ECOSTRESS/ECO_L1CG_RAD.002) Version 2 data products.The ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS) mission measures the temperature of plants to better understand how much water plants need and how they respond to stress. ECOSTRESS is attached to the International Space Station (ISS) and collects data globally between 52 degrees N and 52 degrees S latitudes. .The ECO1BRAD Version 1 data product provides at-sensor calibrated radiance values retrieved for five thermal infrared (TIR) bands operating between 8 and 12.5 microns. Additionally, the digital numbers (DN) for the shortwave infrared (SWIR) band are provided. The TIR bands are spatially co-registered to produce a variable spatial resolution between 70 meters (m) to 90 m at the edge of the swath. The ECO1BRAD data product is provided as swath data and does not contain geolocation information. The corresponding [ECO1BGEO](https://doi.org/10.5067/ECOSTRESS/ECO1BGEO.001) data product is required to georeference the ECO1BRAD data product. The geographic coverage of acquisitions for the ECO1BRAD Version 1 data product extends to areas outside of those indicated on the coverage map. However, corresponding higher-level products over these areas are not available at this time.The ECO1BRAD Version 1 data product contains variables of radiance values for the five TIR bands, DN values for the SWIR band, associated data quality indicators, and ancillary data.Known Issues* Cannot perform spatial query on ECO1BRAD in NASA Earthdata Search: ECO1BRAD does not contain spatial attributes, so granules cannot be searched by geographic location. Users should search for ECO1BRAD data products by orbit number instead.* Data acquisition gap: ECOSTRESS was launched on June 29, 2018, and moved to autonomous science operations on August 20, 2018, following a successful in-orbit checkout period. On September 29, 2018, ECOSTRESS experienced an anomaly with its primary mass storage unit (MSU). ECOSTRESS has a primary and secondary MSU (A and B). On December 5, 2018, the instrument was switched to the secondary MSU and science operations resumed. On March 14, 2019, the secondary MSU experienced a similar anomaly temporarily halting science acquisitions. On May 15, 2019, a new data acquisition approach was implemented and science acquisitions resumed. To optimize the new acquisition approach TIR bands 2, 4 and 5 are being downloaded. The data products are as previously, except the bands not downloaded contain fill values (L1 radiance and L2 emissivity). This approach was implemented from May 15, 2019, through April 28, 2023.* Data acquisition gap: From February 8 to February 16, 2020, an ECOSTRESS instrument issue resulted in a data anomaly that created striping in band 4 (10.5 micron). These data products have been reprocessed and are available for download. No ECOSTRESS data were acquired on February 17, 2020, due to the instrument being in SAFEHOLD. Data acquired following the anomaly have not been affected.* Missing scan data/striping features: During testing, an instrument artifact was encountered in ECOSTRESS bands 1 and 5, resulting in missing values. A machine learning algorithm has been applied to interpolate missing values. For more information on the missing scan filling techniques and outcomes, see Section 3.3.2 of the User Guide.* Scan overlap: An overlap between ECOSTRESS scans results in a clear line overlap and repeating data. Additional information is available in Section 3.2 of the User Guide.* Scan flipping: Improvements to the visualization of the data to compensate for instrument orientation are discussed in Section 3.4 of the User Guide.* Cold bias: ECOSTRESS Level-1 Radiance data shows high correlation with in-situ ground measurements (R2 = 0.99 in all bands). Currently, ECOSTRESS has a cold bias of approximately 0.7 Kelvin (K), which will be corrected through calibration in future data releases.* Data acquisition: ECOSTRESS has now successfully returned to 5-band mode after being in 3-band mode since 2019. This feature was successfully enabled following a Data Processing Unit firmware update (version 4.1) to the payload on April 28, 2023. To better balance contiguous science data scene variables, 3-band collection is currently being interleaved with 5-band acquisitions over the orbital day/night periods.
PREFIRE Level 1A Calibrated Spectral Radiance from PREFIRE Satellite 1 R01
PREFIRE (Polar Radiant Energy in the Far InfraRed Experiment) Level 1A Calibrated Spectral Radiance from PREFIRE Satellite 1 (PREFIRE_SAT1_1A-RAD) contains calibrated radiance data derived from data collected by the PREFIRE Thermal Infrared Spectrometer (TIRS-PREFIRE) aboard PREFIRE-SAT1. Duel CubeSats each carry a TIRS-PREFIRE, a push broom spectrometer with 63 channels measuring mid- and far-infrared (FIR) radiation from approximately 5 to 53 µm. Most polar emissions are in the FIR but have not been measured on a large scale. PREFIRE aims to fill knowledge gaps in the global energy budget by more accurately characterizing polar emissions. This information will then be assimilated into global circulation and other climate models to predict future climates more accurately.Digital number counts from the PREFIRE_SAT1_0-PAYLOAD-TLM collection are converted to radiance and calibrated using an internal blackbody target and space-look data.The PREFIRE_SAT1_1A-RAD data is used as input for PREFIRE_SAT1_1B-RAD, which is geolocated radiance. Given that it is not geolocated, PREFIRE_SAT1_1A-RAD is not useful for direct scientific study.Data retrieval started in May TBD, 2024, and is ongoing. Geographic coverage is global, with the greatest concentration of data in the polar regions. This data has a temporal resolution of 0.707 seconds and is available in netCDF-4.Calibrated radiance data for the sister instrument aboard PREFIRE-SAT2 can be found in the PREFIRE_SAT2_1A-RAD collection.
EMIT L1B At-Sensor Calibrated Radiance and Geolocation Data 60 m V001
The Earth Surface Mineral Dust Source Investigation (EMIT) instrument measures surface mineralogy, targeting the Earth’s arid dust source regions. EMIT is installed on the International Space Station (ISS) and uses imaging spectroscopy to take mineralogical measurements of sunlit regions of interest between 52° N latitude and 52° S latitude. An interactive map showing the regions being investigated, current and forecasted data coverage, and additional data resources can be found on the VSWIR Imaging Spectroscopy Interface for Open Science (VISIONS) [EMIT Open Data Portal](https://earth.jpl.nasa.gov/emit/data/data-portal/coverage-and-forecasts/).The EMIT Level 1B At-Sensor Calibrated Radiance and Geolocation (EMITL1BRAD) Version 1 data product provides at-sensor calibrated radiance values along with observation data in a spatially raw, non-orthocorrected format. Each EMITL1BRAD granule consists of two Network Common Data Format 4 (NetCDF4) files at a spatial resolution of 60 meters (m): Radiance (EMIT_L1B_RAD) and Observation (EMIT_L1B_OBS). The Radiance file contains the at-sensor radiance measurements of 285 bands with a spectral range of 381-2493 nanometers (nm) and with a spectral resolution of ~7.5 nm, which are held within a single science dataset layer (SDS). The Observation file contains viewing and solar geometries, timing, topographic, and other information related to the observation. Each NetCDF4 file holds a location group containing geometric lookup tables (GLT), which are orthorectified images that provide relative x and y reference locations from the raw scene to allow for projection of the data. Along with the GLT layers, the files also contain latitude, longitude, and elevation layers. The latitude and longitude coordinates are presented using the World Geodetic System (WGS84) ellipsoid. The elevation data was obtained from Shuttle Radar Topography Mission v3 (SRTM v3) data and resampled to EMIT’s spatial resolution.Each granule is approximately 75 kilometers (km) by 75 km, nominal at the equator, with some granules at the end of an orbit segment reaching 150 km in length.Known Issues* Data acquisition gap: From September 13, 2022, through January 6, 2023, a power issue outside of EMIT caused a pause in operations. Due to this shutdown, no data were acquired during that timeframe.
Modern calibration of Poa flabellata (Tussac grass) as a new paleoclimate proxy in the South Atlantic
<p>Carbon and oxygen stable isotopes in alpha cellulose from <em>Poa flabellata</em> leaf and root material collected between September 2015 to September 2016 in the Falkland Islands at four different locations.</p> <p> </p> <p> </p>
FIG. 7. — Aquitanobursa n in A review of fossil Bursidae and their use for phylogeny calibration
FIG. 7. — Aquitanobursa n. gen. of Aquitaine Basin: A, Aquitanobursa grateloupi (d'Orbigny, 1852) n. comb., MNHN.F.A27211, lectotype from the Aquitanian of Saint-Paul-les-Dax, France; B, Aquitanobursa inaequicrenata (Cossmann & Peyrot, 1924) n. comb., MNHN.F.A70284, Burdigalian of le Peloua, France; Faullummel coll.; C, Aquitanobursa tuberosa (Grateloup, 1833) n. comb., MNHN.F.A70285, Burdigalian of le Peloua, Staadt coll.
FIG. 6 in A review of fossil Bursidae and their use for phylogeny calibration
FIG. 6. — Aspa subgranulata (d'Orbigny, 1852). MNHN.F.A70283 (Brongniart coll.), ventral (A), lateral left (B) and dorsal (C) views, Miocene of Le Peloua, Landes, France. Scale bar: 2 cm.
FIG. 4 in A review of fossil Bursidae and their use for phylogeny calibration
FIG. 4. — Phylogeny of the Bursidae. Topology based on the multigene Bayesian analysis of Castelin et al. (2012); black dots (●) represent well supported nodes (posterior probabilities over 0.98) and white dots (○) represent moderately supported nodes (PP over 0.90). Bursa species in bold type are taxa that make the genus polyphyletic. Bracket on top indicates the phylogenetic extent of the genus Bursa if we consider the tubular posterior siphonal canal to be one of its synapomorphies, dotted bracket indicates the maximum extent of the genus considering the topology.
FIG. 2 in A review of fossil Bursidae and their use for phylogeny calibration
FIG. 2. — Taxa excluded from Bursidae. Olequahia Stewart, 1926 species: A, B, Olequahia domenginica (Vokes, 1939): UCMP 15804, syntype of Ranella domenginica, Tejon formation (Bartonian), California, United States; A, dorsal view; B, ventral view; C-H, Olequahia washingtoniana (Weaver, 1912): UCMP 16071 (loc. ID D8044), in dorsal (C, F), left lateral (D, G) and ventral views (E, H), all from Cowlitz Formation (Priabonian), Cowlitz River, Washington, United States. Scale bar: 2 cm.
Improving the Utility and Trustworthiness of Knowledge Graph Embeddings with Calibration
<p>This repository contains two public knowledge graph datasets used in our paper <em>Improving the Utility of Knowledge Graph Embeddings with Calibration</em>. Each dataset is described below.</p> <p>Note that for our experiments we split each dataset randomly 5 times into 80/10/10 train/validation/test splits. We recommend that users of our data do the same to avoid (potentially) overfitting models to a single dataset split.</p> <p><strong>wikidata-authors</strong></p> <p>This dataset was extracted by querying the <a href="https://www.wikidata.org/wiki/Wikidata:Main_Page">Wikidata</a> API for facts about people categorized as "authors" or "writers" on Wikidata. Note that all head entities of triples are <em>people</em> (authors or writers), and all triples describe something about that person (e.g., their place of birth, their place of death, or their spouse). The knowledge graph has 23,887 entities, 13 relations, and 86,376 triples.</p> <p>The files are as follows:</p> <p><strong><code>entities.tsv</code></strong>: A tab-separated file of all unique entities in the dataset. The fields are as follows:</p> <ul> <li><code>eid</code>: The unique Wikidata identifier of this entity. You can find the corresponding Wikidata page at <code>https://www.wikidata.org/wiki/<eid></code>.</li> <li><code>label</code>: A human-readable label of this entity (extracted from Wikidata).</li> </ul> <p><strong><code>relations.tsv</code></strong>: A tab-separated file of all unique relations in the dataset. The fields are as follows:</p> <ul> <li><code>rid</code>: The unique Wikidata identifier of this relation. You can find the corresponding Wikidata page at <code>https://www.wikidata.org/wiki/Property:<rid></code>.</li> <li><code>label</code>: A human-readable label of this relation (extracted from Wikidata).</li> </ul> <p><strong><code>triples.tsv</code></strong>: A tab-separated file of all triples in the dataset, in the form of <code><head eid></code>, <code><relation rid></code>, <code><tail eid></code>.</p> <p><strong>fb15krr-linked</strong></p> <p>This dataset is an extended version of the FB15k+ dataset provided by <a href="https://github.com/thunlp/TKRL">[Xie et al IJCAI16]</a>. It has been linked to <a href="https://www.wikidata.org/wiki/Wikidata:Main_Page">Wikidata</a> using Freebase MIDs (machine IDs) as keys; we discarded triples from the original dataset that contained entities that could not be linked to Wikidata. We also removed reverse relations following the procedure described by <a href="https://www.aclweb.org/anthology/W15-4007.pdf">[Toutanova and Chen CVSC2015]</a>. Finally, we removed existing triples labeled as <em>False</em> and added predicted triples labeled as <em>True</em> based on the crowdsourced annotations we obtained in our <em>True or False Facts</em> experiment (see our paper for details). The knowledge graph consists of 14,289 entities, 770 relations, and 272,385 triples.</p> <p>The files are as follows:</p> <p><strong><code>entities.tsv</code></strong>: A tab-separated file of all unique entities in the dataset. The fields are as follows:</p> <ul> <li><code>mid</code>: The Freebase machine ID (MID) of this entity.</li> <li><code>wiki</code>: The corresponding unique Wikidata identifier of this entity. You can find the corresponding Wikidata page at <code>https://www.wikidata.org/wiki/<eid></code>.</li> <li><code>label</code>: A human-readable label of this entity (extracted from Wikidata).</li> <li><code>types</code>: All hierarchical types of this entity, as provided by <a href="https://github.com/thunlp/TKRL">[Xie et al IJCAI16]</a>.</li> </ul> <p><strong><code>relations.tsv</code></strong>: A tab-separated file of all unique relations in the dataset. The fields are as follows:</p> <ul> <li><code>label</code>: The hierarchical Freebase label of this relation.</li> </ul> <p><strong><code>triples.tsv</code></strong>: A tab-separated file of all triples in the dataset, in the form of <code><head MID></code>, <code><relation label></code>, <code><tail MID></code>.</p>
Supplementary material 3 from: Wiemers M, Chazot N, Wheat CW, Schweiger O, Wahlberg N (2020) A complete time-calibrated multi-gene phylogeny of the European butterflies. ZooKeys 938: 97-124. https://doi.org/10.3897/zookeys.938.50878
Figure S1. Time-calibrated tree of European butterflies
Supplementary material 8 from: Wiemers M, Chazot N, Wheat CW, Schweiger O, Wahlberg N (2020) A complete time-calibrated multi-gene phylogeny of the European butterflies. ZooKeys 938: 97-124. https://doi.org/10.3897/zookeys.938.50878
Figure S6. Time-calibrated tree of European butterflies
Supplementary material 2 from: Wiemers M, Chazot N, Wheat CW, Schweiger O, Wahlberg N (2020) A complete time-calibrated multi-gene phylogeny of the European butterflies. ZooKeys 938: 97-124. https://doi.org/10.3897/zookeys.938.50878
Table S1–S12
Supplementary material 5 from: Wiemers M, Chazot N, Wheat CW, Schweiger O, Wahlberg N (2020) A complete time-calibrated multi-gene phylogeny of the European butterflies. ZooKeys 938: 97-124. https://doi.org/10.3897/zookeys.938.50878
Figure S3. Time-calibrated tree of European butterflies Section II. Riodinidae & Lycaenidae.
Figure 2 from: Wiemers M, Chazot N, Wheat CW, Schweiger O, Wahlberg N (2020) A complete time-calibrated multi-gene phylogeny of the European butterflies. ZooKeys 938: 97-124. https://doi.org/10.3897/zookeys.938.50878
Figure 2 Majority rule consensus tree topology of a set of 1000 trees from the posterior distribution of time-calibrated trees of European butterflies. Circles at the nodes display clade support with a colour gradient from 50% (red) via 75% (yellow) to 100% (green).
Figure 1 from: Wiemers M, Chazot N, Wheat CW, Schweiger O, Wahlberg N (2020) A complete time-calibrated multi-gene phylogeny of the European butterflies. ZooKeys 938: 97-124. https://doi.org/10.3897/zookeys.938.50878
Figure 1 Time-calibrated tree of European butterflies (Lepidoptera: Papilionoidea) with time scale and taxonomic assignment to subfamilies and families.
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.