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10,016 results for “Observation”

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zenodo36/100

Fig. 1 in A new species of Ocyale (Araneae, Lycosidae) from Madagascar, with first observations on the biology of a representative in the genus

Fig. 1. Type locality of Ocyale ghost Jocque M. & Jocqué R. sp. nov.

opencc-by-3.0Oct 2017View details →
zenodo36/100

Republished EOD - eBird Observation Dataset

<p>This publication contains a republished eBird Darwin Core Archive &quot;dwca-1.0.zip&quot; as discovered via GBIF on 2019-04-08 via http://ebirddata.ornith.cornell.edu/downloads/gbiff/dwca-1.0.zip .</p> <p>Levatich T, Padilla F (2019). EOD - eBird Observation Dataset. Cornell Lab of Ornithology. Occurrence dataset hash://sha256/ec3ff57cb48d5c41b77b5d1075738b40f598a900e8be56e7645e5a24013dffc4 https://doi.org/10.15468/aomfnb accessed via GBIF.org on 2019-04-08 with provenance hash://sha256/5a39b7bbe9d1bc46ed2eb7bd76c490b5c85a09369a7cf7dc18fa04532679e9a7 .</p> <p>&nbsp;</p> <p>&nbsp;</p> <p>&nbsp;</p>

opencc-zeroSep 2018View details →
zenodo36/100

Statistics of turbulent tracer dispersion from UV camera observations of SO 2, Data set

<p>LES and radiation transport data sets used to produce the figures in the manuscript:</p> <p>Kylling, A., Ardeshiri, H., Cassiani, M., Dinger, A. S., Park, S.-Y., Pisso, I., Schmidbauer, N., Stebel, K., and Stohl, A.: Can statistics of turbulent tracer dispersion be inferred from camera observations of SO2 in the ultraviolet?, Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2019-286, in review, 2019</p> <p>See README file for further description of files.</p>

opencc-by-4.0Jun 2020View details →
zenodo36/100

The observed data used in paper titled "An analytic method for calculating parameters of the van Genuchten model for soil water retention curve"

<p>In the file, the 46 soil samples from UNSODA were used to test the proposed method of estimating the parameters of VG model, including the physical and hydraulic properties data, PSD, SWRC, saturated hydraulic conductivity, porosity and saturated water content. Also, this data file includes some&nbsp;process data and results data, <em>D</em><sub><em>i</em>, psd</sub>, predicted&nbsp;<em>K<sub>s</sub></em>&nbsp;, the data relate to&nbsp;<em>a </em>and <em>n&nbsp;</em>and sensitivity analysis.</p>

opencc-by-4.0Jul 2020View details →
zenodo36/100

Observational studies on preventive measures and treatments for Covid-19

<p>In the course of our PubMed searches and preprints from MedRxiv, we identified a number of observational studies on preventive measures and treatments for Covid-19 that we have included in our systematic review.</p> <p>This file is updated regularly.</p>

opencc-by-4.0Jul 2020View details →
dryad36/100

Artificial night light helps account for observer bias in citizen science monitoring of an expanding large mammal population

1. The integration of citizen scientists into ecological research is transforming how, where, and when data are collected, and expanding the potential scales of ecological studies. Citizen-science projects can provide numerous benefits for participants, while educating and connecting professionals with lay audiences, potentially increasing acceptance of conservation and management actions. However, for all the benefits, collection of citizen-science data is often biased towards areas that are easily accessible (e.g. developments and roadways), and thus data are usually affected by issues typical of opportunistic surveys (e.g. uneven sampling effort). These areas are usually illuminated by artificial light at night (ALAN), a dynamic sensory stimulus that alters the perceptual world for both humans and wildlife. 2. Our goal was to test whether satellite-based measures of ALAN could improve our understanding of the detection process of citizen scientist-reported sightings of a large mammal. 3. We collected observations of American black bears (Ursus americanus; n = 1,315) outside their primary range in Minnesota, USA, as part of a study to gauge population expansion. Participants from the public provided sighting locations of bears on a website. We used an occupancy modelling framework to determine how well ALAN accounted for observer metrics when compared to other commonly used metrics (e.g. housing density). 4. Citizen scientists reported 17% of bear sightings were under artificially-lit conditions and monthly ALAN estimates did the best job accounting for spatial bias in detection of all observations, based on AIC values and effect sizes (β ^ = 0.81, 0.71 – 0.90 95% CI). Bear detection increased with elevated illuminance; relative abundance was positively associated with natural cover, closer proximity to primary bear range and lower road density. Although the highest counts of bear sightings occurred in the highly illuminated suburbs of the Minneapolis-St. Paul metropolitan region, we estimated substantially higher bear abundance in another region with plentiful natural cover and low ALAN (up to 275% increased predicted relative abundance) where observations were sparse. 5. We demonstrate the importance of considering ALAN radiance when analyzing citizen scientist-collected data, and we highlight the ways that ALAN data provides a dynamic snapshot of human activity. 31-Jul-2020

opencc-zeroAug 2020View details →
zenodo36/100

Very high rate GPS observables at San Pedro Martir, Mexico (SPIG) continously operating station: dataset for the case study. Part 4.

<p>Archived data is on a Trimble raw T02 format from a Trimble NetR9 receiver. Complete metadata for the station can be obtained at the TLALOCNet archive at <strong>http://tlalocnet.udg.mx</strong>.</p> <p>This dataset is a high rate (50hz) version of &nbsp;the SPIG continous GPS station observables that is otherwise available as a 15 sec recording on the TLALOCNet archive (<strong>http://tlalocnet.udg.mx</strong>).</p> <p>Any use of this dataset or parts of it must give the proper acknowledgement, including the Zenodo assigned DOI (10.5281/zenodo.4002090)&nbsp;as follows:</p> <p>This material is partly based on GPS data provided by the SSN-Trans-boundary, Land and Atmosphere Long-term Observational and Collaborative Network (TLALOCNet; Cabral-Cano et al., 2018 and P&eacute;rez-Campos et al., 2018) jointly operated by Servicio de Geodesia Satelital (SGS) and Servicio Sismol&oacute;gico Nacional (SSN) at the Instituto de Geof&iacute;sica-Universidad Nacional Aut&oacute;noma de M&eacute;xico in collaboration with UNAVCO, Inc. We gratefully acknowledge all the personnel from SGS, SSN and UNAVCO for station installation, maintenance, data acquisition, permanent IT support and data distribution. TLALOCNet and related GPS operations at SGS are supported by the Consejo Nacional de Ciencia y Tecnolog&iacute;a (CONACyT) projects 253760 and 2017-01-5955, by the National Science Foundation grant EAR-1338091 and supplemental support from UNAM-Instituto de Geof&iacute;sica.<br> &nbsp;<br> <strong>References</strong>.</p> <p>E. Cabral-Cano, X. P&eacute;rez-Campos, B. M&aacute;rquez-Az&uacute;a, M. A. Sergeevaa, L. Salazar-Tlaczani, C. DeMets, D. Adams, J. Galetzka, K. Feaux, Y. L. Serra, G. S. Mattioli, and M. Miller, 2018. TLALOCNet: A Continuous GPS-Met Backbone in Mexico for Seismotectonic, and Atmospheric Research. Seismological Research Letters, v. 89, n. 2&ordf;, p. 373-381. https://doi.org/10.1785/0220170190.</p> <p>X. P&eacute;rez‐Campos, &nbsp;V.H. Esp&iacute;ndola, &nbsp;J. P&eacute;rez, &nbsp;J. A. Estrada C. C&aacute;rdenas Monroy, &nbsp;D. Bello, &nbsp;Adriana Gonz&aacute;lez‐L&oacute;pez, &nbsp;Daniel Gonz&aacute;lez &Aacute;vila, Mois&eacute;s Gerardo Contreras Ruiz Esparza, &nbsp;Rafael Maldonado, &nbsp;Yi Tan, &nbsp;Iv&aacute;n Rodr&iacute;guez Rasilla, Miguel &Aacute;ngel Vela Rosas, &nbsp;Jos&eacute; Luis Cruz, &nbsp;Arturo C&aacute;rdenas, &nbsp;Fernando Navarro Estrada, Alejandro Hurtado, &nbsp;Antonio de Jes&uacute;s Mendoza Carvajal, &nbsp;Edgar Montoya‐Quintanar, Miguel A. P&eacute;rez‐Vel&aacute;zquez, 2018. The Mexican National Seismological Service: An Overview. Seismological Research Letters, v. 89, n. 2&ordf;, p.318-323. https://doi.org/10.1785/0220170186.</p>

opencc-by-4.0Aug 2020View details →
zenodo36/100

Very high rate GPS observables at Coeneo, Mexico (UCOE) continously operating station: dataset for the case study. Part 3.

<p>Archived data is on a Trimble raw T02 format from a Trimble NetR9 receiver. Complete metadata for the station can be obtained at the TLALOCNet archive at <strong>http://tlalocnet.udg.mx</strong>.</p> <p>This dataset is a high rate (50hz) version of &nbsp;the UCOE continous GPS station observables that is otherwise available as a 15 sec recording on the TLALOCNet archive (<strong>http://tlalocnet.udg.mx</strong>).</p> <p>Any use of this dataset or parts of it must give the proper acknowledgement, including the Zenodo assigned DOI (10.5281/zenodo.4002072)&nbsp;as follows:</p> <p>This material is partly based on GPS data provided by the Trans-boundary, Land and Atmosphere Long-term Observational and Collaborative Network (TLALOCNet; Cabral-Cano et al., 2018) jointly operated by Servicio de Geodesia Satelital (SGS) at the Instituto de Geof&iacute;sica-Universidad Nacional Aut&oacute;noma de M&eacute;xico in collaboration with UNAVCO, Inc. We gratefully acknowledge Armando Carrillo-Vargas and&nbsp;all the personnel from SGS and UNAVCO at for station installation, maintenance, data acquisition, permanent IT support and data distribution. TLALOCNet and related GPS operations at SGS are supported by the Consejo Nacional de Ciencia y Tecnolog&iacute;a (CONACyT) projects 253760 and 2017-01-5955, by the National Science Foundation grant EAR-1338091 and supplemental support from UNAM-Instituto de Geof&iacute;sica.<br> &nbsp;<br> <strong>References</strong>.</p> <p>E. Cabral-Cano, X. P&eacute;rez-Campos, B. M&aacute;rquez-Az&uacute;a, M. A. Sergeevaa, L. Salazar-Tlaczani, C. DeMets, D. Adams, J. Galetzka, K. Feaux, Y. L. Serra, G. S. Mattioli, and M. Miller, 2018. TLALOCNet: A Continuous GPS-Met Backbone in Mexico for Seismotectonic, and Atmospheric Research. Seismological Research Letters, v. 89, n. 2&ordf;, p. 373-381. https://doi.org/10.1785/0220170190.</p>

opencc-by-4.0Aug 2020View details →
zenodo36/100

Supplementary Material for "Time-domain modelling of 3-D Earth's and planetary electromagnetic induction effect in ground and satellite observations"

<p>1. Magnetic field residuals from Observatory and Swarm data. Details about data origin and pre-processing are given in the main paper.</p> <p>2. Time series of external Spherical Harmonic coefficients estimated from observatory and satellite data as described in the main paper.</p>

opencc-by-4.0Sep 2020View details →
zenodo36/100

Thermophysical properties and surface heterogeneity of landing sites on Mars from overlapping THEMIS observations-Data

<p>Files, scripts/functions, observed temperature data, and modeled results used in the Ahern et al. paper entitled: Thermophysical properties and surface heterogeneity of landing sites on Mars from overlapping THEMIS observations.</p>

opencc-by-4.0Sep 2020View details →
zenodo36/100

Unstructured global to coastal wave modeling for the Energy Exascale Earth System Model - Simuation results and observed data

<p>This data set contains the simulation results and observed data at NDBC buoy locations.</p> <ul> <li>wave_data.pickle <ul> <li>File containing python data objects which store: station ID data, observed data, model data, and model output dates. Requires python 3.8.</li> </ul> </li> <li>data_access.py <ul> <li>Example python script which reads in a prints the data from wave_data.pickle. It also demonstrates how to access data from the objects stored in the pickle file.</li> </ul> </li> </ul>

opencc-by-4.0Oct 2020View details →
zenodo36/100

The asymmetric diurnal latent heat flux in Chi-Lan montane cloud-fog forest: CLM simulations and sap flow observations

<p>Chilan_30min_sap_flow_V_2020JJA.csv recorded the data of sap flow velocity during JJA 2020.</p> <p>CL_CTR.*.nc is the analyzed CTR simulations which consider fog interception as a source of canopy water.</p> <p>CL_EXP.*.nc is the analyzed EXP simulations that do not allow the canopy to hold the water.</p>

opencc-by-4.0Oct 2020View details →
zenodo36/100

Spectral induced polarization of calcite precipitation: 2D experimental pore scale observation

<p>This data will be available after publication.</p>

opencc-by-4.0Sep 2020View details →
dryad36/100

Table S5: Occupancy change observations in bog species in the Black Forest (Germany) across all sites from 1972-2019

<p><b>Aim:</b> Bogs and transition mires in Central Europe have undergone tremendous changes in the last decades, declining in spatial extent and favorable conservation status. However, species extinctions have been documented only rarely because of a lack of reliable floristic data. Here, we assessed species losses of bog complexes and analyzed their potential drivers.</p> <p><b>Location:</b> Black Forest, Germany.</p> <p><b>Methods:</b> We made use of the unique situation that the majority of bogs in the Black Forest (124 sites) had been systematically surveyed from 1972 to 1980 and resurveyed the flora of the same sites between 2017 and 2020. In addition, we included further data from the preceding decades.</p> <p><b>Results:</b> Out of 88 species for which we compiled site occupancy data, two species went extinct in the whole study area and 37 decreased from 1972 to 2020, losing on average 33% of their initial frequency. In contrast, 46 species displayed a positive trend. While decreasing species were characteristic of raised bogs, moorland ponds and base-rich mires, increasing species were typical of poor mires, fens and wet meadows. Species losses were higher at low elevation, pointing to increasing temperature increase and decreasing precipitation as main drivers of extinction, while habitat area, distance to the nearest site and land use played no significant role. The mean altitude at which extinctions of populations occurred increased with time. Assuming a continuation of the observed negative trends for declining bog species, our models predict the extinction of further ten species by 2045.</p> <p><b>Main conclusion:</b> Our study highlights the value of systematic and comprehensive past biodiversity surveys to assess biodiversity change. We demonstrated that low-mountain habitats have already suffered biodiversity loss as a result of climate change. There are only limited management options against rising temperatures and decreasing precipitation.</p>

opencc-zeroOct 2020View details →
zenodo36/100

Realistic LIGO/Virgo/KAGRA observing scenarios based on O3 public alerts

<p>Efforts to search for electromagnetic counterparts of gravitational-wave sources have intensified dramatically since the 2017 discovery a binary neutron star merger with an associated gamma-ray burst, optical/infrared kilonova, and panchromatic afterglow. Now, one LIGO/Virgo observing run later, there has not yet been a second secure identification of electromagnetic counterpart. This is not unexpected, and can be mostly explained by the localization uncertainty of events from LIGO and Virgo&rsquo;s most recent, third observing run (&ldquo;O3&rdquo;). The official LIGO/Virgo observing scenarios fail to account for improvements in data analysis that allow LIGO/Virgo to detect fainter and hence worse-localized gravitational- wave sources, which increases the number of detections while decreasing the proportion of well-localized &ldquo;gold-plated&rdquo; events. Realistic forecasting of gravitational-wave localization performance is paramount because electromagnetic counterpart searches require large commitments of telescope time. We present simulations of the next several LIGO/Virgo/KAGRA observing runs that are based on the statistics of O3 public alerts.</p>

opencc-by-4.0Sep 2020View details →
zenodo36/100

Low-Latitude Whistler-Mode and Higher-Latitude Z-mode Emission at Jupiter Observed by Juno

<p>This is the supporting data set for the paper by the same title published in AGU JGR Space Physics,&nbsp;<a href="https://doi.org/10.1029/2020JA028742">10.1029/2020JA028742</a></p> <p><strong>Abstract</strong></p> <p>Whistler-mode chorus emission is important in the scattering and acceleration of electrons and filling of the radiation belts at Jupiter. In this work whistler mode magnetic intensity levels at Jupiter are comprehensively binned and parameterized. The frequency range of whistler mode under study extends from the proton cyclotron frequency, f<sub>cH</sub>, to f<sub>ceq</sub>/2, where f<sub>ceq</sub> is the cyclotron frequency mapped to the magnetic equator. Parametric dependence of magnetic plasma wave intensity is obtained versus frequency, latitude, and M-shell, as determined using a current magnetic field model based on Juno data. The results extend similar analyses of Jupiter whistler-mode emission obtained by the Galileo spacecraft, particularly on the nightside, and provide better coverage in latitude. Peaks in whistler-mode emission occur near M ~ 8-9, similar to previous studies, with average peak intensities approaching 10<sup>-2</sup> nT<sup>2</sup>, as also found by Galileo on the dayside. Auroral hiss and probably Z-mode are observed at higher latitudes. Jovian chorus emissions near an equatorial source region are more broad-banded than terrestrial chorus, and are coincident with a broad-banded electron distribution of free energy and strong electron scattering to large pitch angles. Intense whistler mode within a young plasma injection region is also observed, similar to injections in Saturn&#39;s magnetosphere. Future study of wave particle interactions within the chorus source region will be important. Possible Z-mode emission at significant intensity levels is observed in Jupiter&rsquo;s inner magnetosphere, more intense, but not unlike Z-mode observed at Saturn.</p> <p><strong>Key Points</strong></p> <ul> <li>Jupiter whistler-mode &amp; Z-mode intensity is binned in f, M, Magnetic latitude, and MLT</li> <li>Chorus emission coincident with electron scattering in source region</li> <li>Narrowband Z-mode emission likely observed at higher frequencies</li> </ul>

opencc-by-4.0Nov 2020View details →
zenodo36/100

Dataset and software for "Experimental observation of vortex rings in a bulk magnet"

<p>The dataset and codes for the manuscript:</p> <p>&quot;Experimental observation of vortex rings in a bulk magnet&quot;</p> <p>Nature Physics (2020)</p> <p>Contains:</p> <p>- Reconstruction of the magnetisation for the three magnetic configurations presented in the paper, in both .mat and .vtk format, for analysis and visualisation with matlab and paraview.</p> <p>- Analysis codes for the calculation of the magnetic vorticity from the magnetisation</p> <p>- Paraview state files for the visualisation and analysis of the configurations.</p>

opencc-by-4.0Sep 2020View details →
zenodo36/100

Research data of ISR and GNSS observation

<p>This is data used for a submitted article to an AGU journal&nbsp; ( ISR and GNSS data).</p>

opencc-by-4.0Dec 2020View details →
zenodo36/100

Observation of liquid glass in suspensions of ellipsoidal colloid

<p>While all analyzed correlation functions are in the manuscript and supporting information, here, original particle trajectories from experiment and simulations are stored which are analyzed in the Publication</p> <p>&quot;Observation of liquid glass in suspensions of ellipsoidal colloids&quot;</p> <p>by J. Roller, A. Laganapan, J.-M. Meijer, M. Fuchs, and A. Zumbusch</p>

opencc-by-4.0Nov 2020View details →
zenodo36/100

Observational Signatures of Tightly Wound Spirals Driven by Buoyancy Resonances in Protoplanetary Disks

<p>These are simulated CO data cubes presented in &quot;Observational Signatures of Tightly Wound Spirals Driven by Buoyancy Resonances in Protoplanetary Disks&quot; by Bae, Teague and Zhu. They represent simulated 12CO and 13CO ALMA observations using the standard model (see Section 3.1.1 of the paper), with three different planet masses (0.5, 1, and 2 Jupiter-mass) and five different disk inclination values (5, 15, 30, 45, and 60 degrees).</p>

opencc-by-4.0Jan 2021View details →

ScienceDex guides

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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record

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