Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
10,016
datasets available to search
ShareScore release 0.9.0
Dataset results
10,016 results for “Observation”
FIGURE 1. A in A novel distance that reduces information loss in continuous characters with few observations
FIGURE 1. A. An interval and its components; B. Possible relationships between two intervals and A, B, and C in the Character X's space; C. DBI's behavior according to the possible relationships between the intervals of any two objects. For this, a mobile test interval of range X with its upper limit placed at Y was discreetly displaced by D units W times. For each of these W steps the DBI between the test interval and a fixed interval of range F with its lower limit placed at H were computed. The Left section shows the DBI for non-overlapped intervals; the Central section shows the DBI for partially overlapped intervals; and the Right section shows the DBI for fully overlapped intervals. Dashed lines show the results between intervals with different relative ranges (i.e., interval sizes). The asterisks show the paired distances between A, B, and C using DBI.
FIGURE 4. Burrowing techniques observed among the studied arthropod predators. A in Linking burrow morphology to the behaviors of predatory soil arthropods: Applications to continental ichnofossils
FIGURE 4. Burrowing techniques observed among the studied arthropod predators. A) Initial burrowing by intrusion by Scolopendra polymorpha (burrow opening at arrow). B) Burrowing by intrusion by Hogna lenta. C) Continued construction of a vertical shaft by compression by Gorgyrella inermis, compressing sediment along burrow boundary (at arrow) to increase the width. D) Subsurface tunnel construction by intrusion by Hemiscolopendra marginata. No sediment is removed as the tunnel is extended but is pressed against the tunnel boundary (at arrow). E) Burrowing by excavation by Mastigoproctus giganteus. Sediment is removed and carried with the pedipalps (at arrow). F) Burrowing by excavation by Pelinobus muticus. Sediment is removed and carried with the pedipalps (at arrow). G) Burrowing by excavation by Hadrurus arizonensis. Sediment is scraped and kicked back out (at arrow) of the developing burrow with the first two pairs of legs. H) Backfilling of a tunnel by S. polymorpha. The centipede removes sediment from the developing tunnel and uses it to fill the old tunnel (at arrow). I) Light silk lining around the opening, shaft, and chamber (at arrows) of Hysterocrates gigas. J) Thick silk lining around the shaft (at arrow) of G. inermis producing a smooth interior surface. K) Six silk runners (example at arrow) connected to the burrow entrance of G. inermis with a closed trap door.
CRIRES+ reduced spectroscopic observations of WASP-178
<h1>Reduced CRIRES+ spectroscopy observations of WASP-178 from 2023-05-25</h1> <p>This records contains the reduced data as used in the publication of Cont et al. 2024 "<em>Exploring the ultra-hot Jupiter WASP-178b. Constraints on atmospheric chemistry and dynamics from a joint retrieval of VLT/CRIRES+ and space photometric data</em>" currently in press with Astronomy & Astrophysics and available as preprint on arXiv.</p> <p>Links to the publication:</p> <ol> <li>ADS: <a href="https://ui.adsabs.harvard.edu/abs/2024arXiv240608166C/abstract">https://ui.adsabs.harvard.edu/abs/2024arXiv240608166C/abstract</a></li> <li>arXiv: <a href="https://arxiv.org/abs/2406.08166">https://arxiv.org/abs/2406.08166</a></li> </ol> <p>The raw data from the CRIRES+ instrument were reduced using the instrument pipeline and the reduction steps are described in the article (see Section 3).</p> <h2>Acknowledgements</h2> <p>If you make use of this data in your research, please cite the Cont et al. 2024 article and this record with its DOI (10.5281/zenodo.11637332) and its reference, the bibtex reference is:</p> <pre><code>@dataset{lavail_2024_11637332, author = {Lavail, Alexis}, title = {{CRIRES+ reduced spectroscopic observations of WASP-178}}, month = jun, year = 2024, publisher = {Zenodo}, version = {1.0}, doi = {10.5281/zenodo.11637332}, url = {https://doi.org/10.5281/zenodo.11637332} }</code></pre> <p> Note also that ESO requests an acknowledgement, which in this case would be: "<em>Based on observations made with ESO Telescopes at the La Silla Paranal Observatory under programme ID 111.254J</em>".</p> <p>This data is released under a Creative Commons Attribution 4.0 International license.</p> <h2>Format of the data</h2> <p>The data are contained in a pickle file. Instructions on how to read pickle files can be found on the python wiki at <a href="https://wiki.python.org/moin/UsingPickle">https://wiki.python.org/moin/UsingPickle</a>:</p> <pre><code>import pickle data = pickle.load(open('wasp178-230524.pickle', 'rb'))</code></pre> <p>The data consists of a dictionary, the keys can be explored with the following command:</p> <pre><code>print(data.keys())</code></pre> <p>The keys are the following:</p> <ul> <li>script_version</li> <li>nodpos</li> <li>rawfilename</li> <li>nodpair</li> <li><strong>wave</strong></li> <li>wave_model</li> <li><strong>spec</strong></li> <li><strong>err</strong></li> <li>snr</li> <li>airmass</li> <li>bjd_tdb</li> <li>berv</li> <li>orders</li> <li>rawheaders</li> <li>slitfunctionFWHM-det1</li> <li>slitfunctionFWHM-det2</li> <li>slitfunctionFWHM-det3</li> </ul> <p>The keys in boldface (<strong>wave</strong>, <strong>spec</strong>, <strong>err</strong>) contain the reduced data, respectively the wavelength (expressed in vacuum in nanometres), the extracted spectrum (in ADU), and the error spectrum (in ADU). The other keys contain metadata and supplementary information as explained below. Each key contains either a numPy array or a string ("script_version") . The shape of the arrays can be expressed using three sizes:</p> <ol> <li>n_obs = 52: the number of observations in the dataset</li> <li>n_pix = 2008: the number of pixels in each segment</li> <li>n_orders = 21: the numbers of segment (each spectral order is split over three detectors creating three segments)</li> </ol> <p>The size of each array can be investigated with e.g</p> <pre><code>for key in data.keys(): try: print(key,':', data[key].shape) except: print(key) </code><br>which results in</pre> <pre><code>script_version nodpos : (52,) rawfilename : (52,) nodpair : (52,) wave : (21, 52, 2008) wave_model : (21, 52, 2008) spec : (21, 52, 2008) err : (21, 52, 2008) snr : (21, 52) airmass : (52,) bjd_tdb : (52,) berv : (52,) orders : (21,) rawheaders : (52, 2484, 3) slitfunctionFWHM-det1 : (52, 8, 3) slitfunctionFWHM-det2 : (52, 8, 3) slitfunctionFWHM-det3 : (52, 8, 3) </code></pre> <h2>What's in the data?</h2> <ul> <li>script_version: version number of the python script used to produce the data</li> <li>nodpos: string, ('A' or 'B') the nodding position of the observation</li> <li>rawfilename: string, the filename of the raw science file from the ESO archive </li> <li>nodpair: string, ('pairNN') where NN is the number of nodding pair used in the data reduction: science files are reduced in pair with one nodding 'A' spectrum and one 'B'</li> <li><strong>wave</strong>: array containing the pipeline-derived wavelength solution for the spectrum in nanometers in vacuum<strong><br></strong></li> <li>wave_model: refined and more precise wavelength solution using molecfit fitting the telluric spectrum as explained in Sect. 2.1 of the paper</li> <li><strong>spec:</strong> reduced spectrum in ADU from the CRIRES+ pipeline. The spectra have been divided by the blaze spectrum (extracted spectrum from the flat-field lamp) to rectify the shape of the continuum and simplify spectrum, normalization<strong><br></strong></li> <li><strong>err</strong>: the error spectrum in ADU corresponding to the <strong>spec</strong> (signal to noise ration can be computed using spec/err)<strong><br></strong></li> <li>snr: median signal to noise ratio for each segment/observation</li> <li>airmass: airmass for each observation taken from the raw file header (mean of airmass at start and end of each exposure)</li> <li>bjd_tdb: bjd_tdb (barycentric julian date expressed in temps dynamique barycentrique) time at the middle of the exposure computed with barycorrpy (<a href="https://github.com/shbhuk/barycorrpy">https://github.com/shbhuk/barycorrpy</a>)</li> <li>berv: berv correction at middle of exposure computed with barycorrpy</li> <li>orders: string (D-OO) identifying the segment where D is the detector number (1-3) and OO is the order number (02-08)</li> <li>rawheaders: the fits header from the raw science files</li> <li>slitfunctionFWHM-det1: contains information on the FWHM of the slit function taken from the reduced file headers for the orders of detector 1</li> <li>slitfunctionFWHM-det2: same for detector 2</li> <li>slitfunctionFWHM-det3: same for detector 3</li> </ul>
DF Tau: 1.3mm ALMA observations of the young binary DF Tau
<p>The <strong>self-calibrated ALMA observations at 1.3mm wavelengths of the young binary system DF Tau</strong>, published in <strong>Grant et al., (2024)</strong>. These observations are separated by epoch, and classified with the sufix LB or SB for "Long Baselines" and "Short Baselines". SB1 and LB1 are the observations from ALMA project ID:2019.1.01739.S (PI: Tofflemire, Benjamin), while SB2 and LB2 are from ALMA Project ID:2021.1.00854.S (PI: Long, Feng). </p>
Lightning Observations with the1 Horus Polarimetric Phased Array Radar Supplemental Material
Open the record for dataset details and reuse information.
Figure 12 in First records of nine fish species from Réunion Island observed during an inventory of the fauna of mesophotic zone
Figure 12. – Gymnothorax aff. breedeni, species not identified with certainty, several specimens were observed at the depths closed to 100 m in the Bay of Saint-Leu (zone 1), 10 Nov. and 15 Dec. 2020. Photograph by P. Plantard.
Figure 8 in First records of nine fish species from Réunion Island observed during an inventory of the fauna of mesophotic zone
Figure 8. – Halichoeres trispilus, 95 m Bay of Saint-Leu (zone 1), 15 Dec. 2020. Photograph by P. Plantard.
Figure 10 in First records of nine fish species from Réunion Island observed during an inventory of the fauna of mesophotic zone
Figure 10. – Canthigaster tyleri, 85 m Bay of Saint-Leu (zone 1), 20 Jan. 2021. Photograph by P. Plantard.
Figure 2 in First records of nine fish species from Réunion Island observed during an inventory of the fauna of mesophotic zone
Figure 2. – Dunckerocampus boylei, 95 m Bay of Saint-Leu (zone 1), 15 Dec. 2020. Photograph by P. Plantard.
Figure 1 in First records of nine fish species from Réunion Island observed during an inventory of the fauna of mesophotic zone
Figure 1. – Sampling zones (zone 1 and 2 in red) on a geomorphological map of the coast of Réunion Island (Guennoc et al., 2008).
Figure 3 in "Poissons de Concarneau", an unpublished manuscript on ichthyological observations in southern Brittany, France, in 1878-1886 by Charles Robin, Georges Pouchet, Laurent Chabry, Alfred Giard and Jules Bonnier
Figure 3. – Example of the manuscript of Robin et al. (1886), page 244 "Poissons de Concarneau" (Fishes of Concarneau), and page 226: "Squales apportés au marché de Concarneau" (Sharks landed at the fish market of Concarneau).
Figure 2 in "Poissons de Concarneau", an unpublished manuscript on ichthyological observations in southern Brittany, France, in 1878-1886 by Charles Robin, Georges Pouchet, Laurent Chabry, Alfred Giard and Jules Bonnier
Figure 2. – The identified authors of "Poissons de Concarneau" (1878-1886). A: Charles Robin (1821-1885); B: Georges Pouchet (1833- 1894); C: Laurent Chabry (1855-1893); D: Alfred Giard (1846-1908); E: Jules Bonnier (1859-1908).
Figure 1 in "Poissons de Concarneau", an unpublished manuscript on ichthyological observations in southern Brittany, France, in 1878-1886 by Charles Robin, Georges Pouchet, Laurent Chabry, Alfred Giard and Jules Bonnier
Figure 1. – Map of the Bay of La Forêt and the Glénan Islands in Southern Brittany (France) with the location of the Marine Station of Concarneau.
Figure 2. – Monthly average species richness observed during diurnal counts from June 2013 in Assessing structure and seasonal variations of a temperate shallow water fish assemblage through Snorkel Visual Census
Figure 2. – Monthly average species richness observed during diurnal counts from June 2013 to August 2014. Error bars represent ±SD. Number of counts per month are, indicated at column bases.
FIGURE 4 in The tube of Ditrupa bartonensis (Annelida, Serpulidae), from the Eocene of southern England: Observations on microstructure and its significance
FIGURE 4. Scanning electron images of the upper structural layer from Ditrupa bartonensis. A)-F) Showing crosssections through ridged crystals. Note that crystals commonly have triangular or wedge-shaped cross-sections, although many other highly variable shapes also occur. Also ridges range from tightly to loosely interlocking. Transverse sections appear smooth (but see Figure 5), with occasional conchoidal fractures (*).
FIGURE 1. Locality map, A in The tube of Ditrupa bartonensis (Annelida, Serpulidae), from the Eocene of southern England: Observations on microstructure and its significance
FIGURE 1. Locality map, A) England and Wales, red box outlines locality map in (B), B) locality details, illustrating the location of Barton-on-Sea, and distribution of the Eocene Bracklesham and Barton Groups (including the Barton Beds Formation). I.O.W. = Isle of Wight.
FIGURE 10 in The tube of Ditrupa bartonensis (Annelida, Serpulidae), from the Eocene of southern England: Observations on microstructure and its significance
FIGURE 10. Echinoderm spine constructed from single calcite crystal. Possible analogue for formation of RRP structure. A) Overview, B) Close-up.
FIGURE 6 in The tube of Ditrupa bartonensis (Annelida, Serpulidae), from the Eocene of southern England: Observations on microstructure and its significance
FIGURE 6. Scanning electron images of Ditrupa bartonensis. A), B) Transverse polished section through a single ridged crystal in the outer layer of D. bartonensis. A) Backscattered electron (BSE) image, B) gaseous secondary electron (GSE) image, of the same area as in (A). Illustrating what appears to be an indication of internal crystal structure. Arrows indicate the edge of the crystal. C), D) Longitudinal sections showing layer 1 (inner layer) and 2 (outer layer). Note in (D) at the interface between the layers that the regular ridged prismatic crystals each initiate from an individual point locus.
FIGURE 2 in The tube of Ditrupa bartonensis (Annelida, Serpulidae), from the Eocene of southern England: Observations on microstructure and its significance
FIGURE 2. Overview, longitudinal cross-sections of Ditrupa bartonensis. A)- B) Optical images. C)-D) Scanning electron microscope, backscattered electron (BSE) images. Illustrating the two layers (1) –inner layer, and (2) –outer layer, and the overall chevron lamella character of the tube. White and black arrows indicate the position of growth lamellae within the outer (2) and inner (1) layers, respectively.
FIGURE 5 in The tube of Ditrupa bartonensis (Annelida, Serpulidae), from the Eocene of southern England: Observations on microstructure and its significance
FIGURE 5. Scanning electron images of the upper structural layer from Ditrupa bartonensis. A)-C) Showing crosssections through ridged crystals, illustrating the presence of curved (conchoidal) fractures, which have a rough uneven surface. The latter possibly reflecting the occurrence of protein vesicles. (A) shallowly inclined transverse fractures, (B) fractured surface with a fan-like pattern of conchoidal fractures, passing into rod and groove ornament. D)-F) longitudinal broken sections, illustrating irregular fracture surfaces parallel to exterior ridge and groove ornament. (D) and (E) white arrows indicate ridge and groove structure parallel to near vertical rough platey fracture (black arrow); also see Figure 3B. F) Detail of surface of near vertical rough platey fracture surface. Note images taken in low-vacuum mode, on uncoated surfaces.
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.