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657 results for “July”

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zenodo36/100

TESS-JULY-2019

<p>Measurements taken by the European Photometer Network (Project STARS4ALL). July 2019</p>

opencc-by-4.0Jul 2019View details →
zenodo36/100

Figure 1 in Coris julis cleaning a Mola mola, a previously unreported association

Figure 1. - Location of the observation in La Herradura, Spain.

opencc-by-4.0Dec 2015View details →
zenodo36/100

CuratorBot Visboeck Demo Video, July 2023

<p>A short demo video of the Visboeck Curatorbot, a collaboration between the National Library of the Netherlands and TU Delft. It is a generative machine-learning chatbot that engages visitors in a conversation about the 'Visboeck' of the Scheveningen butcher Adriaen Coenen (https://www.kb.nl/ontdekken-bewonderen/topstukken/visboeck). This manuscript from the late 16th century is particularly popular with visitors. It contains numerous illustrations of creatures of the sea, from fish to sea monsters. To an untrained eye, however, the text is not readable, and many illustrations raise questions. What is this? What does this have to do with the sea? Why did Adriaen Coenen add this to his book?&nbsp;</p> <p>The CuratorBot has been &ldquo;fed&rdquo; multiple sources of information sources about the Visboeck, from the web to publications to knowledge from our own collection specialists. Therefore, the CuratorBot can tell you all about unicorns, manatees and tree geese.</p> <p>The CuratorBot gives us insight into the usability of AI chatbots for heritage institutions. What questions does the CuratorBot struggle with? What do visitors to the KB like to know? The curatorbot was available for live testing in the KB's reception area until June 2023.</p>

opencc-by-4.0Oct 2024View details →
zenodo36/100

Extracted Ethereum transactions for July 2019 from the Ethereum in BigQuery public dataset

<p>Extracted Ethereum transactions for July 2019 from the Ethereum in BigQuery public dataset.</p>

opencc-by-4.0Aug 2021View details →
zenodo36/100

Stordalen Mire July 2016 Metatranscriptome Data from McGivern et al.

<p>Tabs</p> <p>MetaT = information for the 27 metatranscriptomes</p> <p>metaT_genes = gene level mapping data</p> <p>metaT_MAGs = MAG level mapping data</p> <p>&nbsp;</p> <p>FUNDING:<br> This research is a contribution of the EMERGE Biology Integration Institute ((https://emerge-bii.github.io/), funded by the National Science Foundation, Biology Integration Institutes Program, Award # 2022070.<br> We thank the Swedish Polar Research Secretariat and SITES for the support of the work done at the Abisko Scientific Research Station. SITES is supported by the Swedish Research Council&#39;s grant 4.3-2021-00164.<br> This study was also funded by the Genomic Science Program of the United States Department of Energy Office of Biological and Environmental Research, grant #s DE-SC0004632. DE-SC0010580. and DE-SC0016440.<br> A portion of this research was performed under the Facilities Integrating Collaborations for User Science (FICUS) program (proposal: 10.46936/fics.proj.2017.49950/60006215 and 10.46936/10.25585/60001148) and used resources at the DOE Joint Genome Institute (<a href="https://www.google.com/url?q=https://ror.org/04xm1d337&amp;sa=D&amp;source=docs&amp;ust=1674859614742521&amp;usg=AOvVaw2XgXYw9eI4JIXRMKn3S9Se">https://ror.org/04xm1d337</a>) and the Environmental Molecular Sciences Laboratory (<a href="https://www.google.com/url?q=https://ror.org/04rc0xn13&amp;sa=D&amp;source=docs&amp;ust=1674859614742655&amp;usg=AOvVaw3UXdoHIFmVjc-mXUhDXYQt">https://ror.org/04rc0xn13</a>), which are DOE Office of Science User Facilities operated under Contract Nos. DE-AC02-05CH11231 (JGI) and DE-AC05-76RL01830 (EMSL).</p>

opencc-by-4.0Jan 2023View details →
zenodo36/100

GNSS-Acoustic Data Capturing the Mw 8.2 July 28, 2021 Chignik Earthquake

<p>GNSS-Acoustic surveys collected at a site, SEM1, along the Alaska Subduction Zone southwest of Kodiak, AK from 2018-2021. These data contain positions close to the trench of the subduction zone both prior to and following the July 28, 2021 Mw 8.2 Chignik earthquake. Contains raw data files, data extractions in a text column format, and processed site positions.</p>

opencc-by-4.0Mar 2023View details →
zenodo36/100

Precipitation and sounding data on 24 July 2014 in Naqu

<p>This dataset provides the observational precipitation and sounding data on 24 July 2014 in Naqu, China.</p> <p>Data are accessible upon request at the China Meteorological Data&nbsp;Network National Meteorological Science Data Center (http: //data.cma.cn)</p>

opencc-by-4.0Apr 2023View details →
zenodo36/100

Simulation results from WRF-Chem with enabling aerosol-radiation interactions and aerosol-cloud interactions in eastern China during July-September 2017

<p>Simulation results from WRF-Chem with enabling aerosol-radiation interactions and aerosol-cloud interactions in eastern China during July-September 2017 including meteorology and air quality, which are in wrfout_YYYY-MM-DD_00_00_00 file on each day during July-September 2017. The file contains these variables:</p> <p>T2, Q2, PSFC, U10, V10, RAINC, RAINSH, RAINNC, PBLH, SWDOWN, GLW, SWUPT, LWUPT, CLDFRA, QCLOUD, P, PB, T, VAPOR, PH, PHB, PM2_5_DRY, o3, no2, so2, co, nh3, EXTCOF55 and ALT.</p>

opencc-by-nc-4.0May 2023View details →
zenodo36/100

Simulation results from WRF-Chem without aerosol feedbacks in eastern China for July-September 2017

<p>Simulation results from WRF-Chem without aerosol feedbacks in eastern China for July-September 2017 including meteorology and air quality,which are in wrfout_YYYY-MM-DD_00_00_00 file on each day for July-September 2017. The file contains these variables:</p><p>T2, Q2, PSFC, U10, V10, RAINC, RAINSH, RAINNC, PBLH, SWDOWN, GLW, SWUPT, LWUPT, CLDFRA, QCLOUD, P, PB, T, VAPOR, PH, PHB, PM2_5_DRY, o3, no2, so2, co, nh3, EXTCOF55 and ALT.</p>

opencc-by-nc-4.0May 2023View details →
zenodo36/100

Simulation results from WRF-Chem with enabling aerosol-radiation interactions in eastern China for July-September 2017

<p>Simulation results from WRF-Chem with enabling aerosol-radiation interactions in eastern China for July-September 2017 including meteorology and air quality,which are in wrfout_YYYY-MM-DD_00_00_00 file on each day for July-September 2017. The file contains these variables:</p><p>T2, Q2, PSFC, U10, V10, RAINC, RAINSH, RAINNC, PBLH, SWDOWN, GLW, SWUPT, LWUPT, CLDFRA, QCLOUD, P, PB, T, VAPOR, PH, PHB, PM2_5_DRY, o3, no2, so2, co, nh3, EXTCOF55 and ALT.</p>

opencc-by-nc-4.0May 2023View details →
zenodo36/100

Simulation results from WRF-CHIMERE without aerosol feedbacks in eastern China for July-September 2017

<p>Simulation results from WRF-CHIMERE without aerosol feedbacks in eastern China for July-September 2017 including meteorology and air quality:</p><p>YYYYMM_wrfout.zip:</p><p>Meteorological file including wrfout_YYYY-MM-DD_00_00_00 on each day for July-September 2017, which contains these variables:</p><p>T2, Q2, PSFC, U10, V10, RAINC, RAINSH, RAINNC, PBLH, SWDOWN, GLW, SWUPT, LWUPT, CLDFRA, QCLOUD, P, PB, T, VAPOR, PH, PHB</p><p>YYYYMM_out.zip</p><p>Air quality file including out.YYYYMMDD00_24_PHD.nc on each day for July-September 2017, which contains these variables:</p><p>PM25, O3, SO2, NO2, CO and optdaero.</p>

opencc-by-nc-4.0May 2023View details →
zenodo36/100

Simulation results from WRF-CHIMERE with enabling aerosol-radiation interactions in eastern China for July-September 2017

<p>Simulation results from WRF-CHIMERE with enabling aerosol-radiation interactions in eastern China for July-September 2017 including meteorology and air quality:</p><p>YYYYMM_wrfout.zip:</p><p>Meteorological file including wrfout_YYYY-MM-DD_00_00_00 on each day for July-September 2017, which contains these variables:</p><p>T2, Q2, PSFC, U10, V10, RAINC, RAINSH, RAINNC, PBLH, SWDOWN, GLW, SWUPT, LWUPT, CLDFRA, QCLOUD, P, PB, T, VAPOR, PH, PHB</p><p>YYYYMM_out.zip</p><p>Air quality file including out.YYYYMMDD00_24_PHD.nc on each day for July-September 2017, which contains these variables:</p><p>PM25, O3, SO2, NO2, CO and optdaero.</p>

opencc-by-nc-4.0May 2023View details →
zenodo36/100

Simulation results from WRF-CHIMERE with enabling aerosol-radiation interactions and aerosol-cloud interactions in eastern China for July-September 2017

<p>Simulation results from WRF-CHIMERE with enabling aerosol-radiation interactions and aerosol-cloud interactions in eastern China for July-September 2017 including meteorology and air quality:</p><p>YYYYMM_wrfout.zip:</p><p>Meteorological file including wrfout_YYYY-MM-DD_00_00_00 on each day for July-September 2017, which contains these variables:</p><p>T2, Q2, PSFC, U10, V10, RAINC, RAINSH, RAINNC, PBLH, SWDOWN, GLW, SWUPT, LWUPT, CLDFRA, QCLOUD, P, PB, T, VAPOR, PH, PHB</p><p>YYYYMM_out.zip</p><p>Air quality file including out.YYYYMMDD00_24_PHD.nc on each day for July-September 2017, which contains these variables:</p><p>PM25, O3, SO2, NO2, CO and optdaero.</p>

opencc-by-nc-4.0May 2023View details →
zenodo36/100

Abb. 4 in Vereinsausflug 2013 des EVB in die Surselva (GR) (6.-7. Juli 2013)

Abb. 4. Langbehaarter Wes- penbock Cyrtoclytus capra (Germiny, 1824). (Foto Michael Gilgen)

opencc-by-4.0Dec 2014View details →
zenodo36/100

List of geomagnetic storms for the period September 2012 - July, 2019

<p>The following dataset includes the epoch times and corresponding Sym-H&nbsp;minima for the 144 geomagnetic storms identified between September 2012 and July 2019.&nbsp;</p>

opencc-by-4.0Jul 2023View details →
zenodo36/100

Aerosol indirect-effect-derived PM2.5 contributions during the development of convective clouds over the Yellow Sea in July of 2017

<p>Meteorological processes are investigated during the development of deep convective clouds over the Yellow Sea inside a quasi-stationary rainy front in the East Asian region. WRF-Chem simulations were conducted to assess the aerosol-indirect-effect (AIE)-derived PM<sub>2.5</sub> contributions to the cloud microphysical process in deep convective clouds and the associated precipitation.</p> <p>In our dataset, you can find output of WRF-Chem baseline simulations (BASE) and other sensitivity simulated outputs (CONTROL). Furthermore, model variables of precipitations, cloud top temperature (CTT), surface-level pressure (SLP),&nbsp;convective available potential energy (CAPE), and hydrometer mixing ratios of cloud water (qcloud), raindrops (qrain), and ice (qice) can be found in these zip files.</p> <p>If you have any difficulty downloading these datasets, please feel free to contact the first author, kimhsung@gmail.com.&nbsp;All references and acknowledgments can be found in our paper</p>

opencc-by-4.0Jul 2023View details →
zenodo36/100

LPL12 - July 2023

<p>Measurements of LPL12 (Ilhas Desertas) in July 2023</p> <p>Madeira</p><p> Light Pollution Laboratorie <a href="https://data.eelabs.eu/api/lpls/LPL12">info</a></p>

opencc-zeroAug 2023View details →
zenodo36/100

LPL8 - July 2023

<p>Measurements of LPL8 (Timanfaya NP) in July 2023</p> <p>Lanzarote</p><p> Light Pollution Laboratorie <a href="https://data.eelabs.eu/api/lpls/LPL8">info</a></p>

opencc-zeroAug 2023View details →
zenodo36/100

LPL5 - July 2023

<p>Measurements of LPL5 (Tejeda) in July 2023</p> <p>Gran Canaria</p><p> Light Pollution Laboratorie <a href="https://data.eelabs.eu/api/lpls/LPL5">info</a></p>

opencc-zeroAug 2023View details →
zenodo36/100

LPL4 - July 2023

<p>Measurements of LPL4 (Ilha do Corvo) in July 2023</p> <p>Corvo</p><p> Light Pollution Laboratorie <a href="https://data.eelabs.eu/api/lpls/LPL4">info</a></p>

opencc-zeroAug 2023View 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