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.
8
datasets available to search
ShareScore release 0.7.1
Dataset results
8 results for “ACTM”
MIROC4-ACTM CO2 Inversion flux (2001-2020; case s050_ux4_gvjf)
<p>Details in :</p> <p>Chandra, N., Patra, P. K., Niwa, Y., Ito, A., Iida, Y., Goto, D., Morimoto, S., Kondo, M., Takigawa, M., Hajima, T., and Watanabe, M.: Estimated regional CO<sub>2</sub> flux and uncertainty based on an ensemble of atmospheric CO<sub>2</sub> inversions, Atmos. Chem. Phys. Discuss. [preprint], https://doi.org/10.5194/acp-2021-1039, in review, 2021.</p>
MIROC4-ACTM CH4 inversion fluxes (2000-2016)
<p>This version of inversion is prepared by Dmitry Belikov, Chiba University. Results updated from Chandra et al. (Chandra et al., 2021)</p> <p>Methods detailed in</p> <p>Emissions from the Oil and Gas Sectors, Coal Mining and Ruminant Farming Drive Methane Growth over the Past Three Decades</p> <p><a href="https://www.jstage.jst.go.jp/search/global/_search/-char/en?item=8&word=Naveen+CHANDRA">Naveen CHANDRA</a>, <a href="https://www.jstage.jst.go.jp/search/global/_search/-char/en?item=8&word=Prabir+K.+PATRA">Prabir K. PATRA</a>, <a href="https://www.jstage.jst.go.jp/search/global/_search/-char/en?item=8&word=Jagat+S.+H.+BISHT">Jagat S. H. BISHT</a>, <a href="https://www.jstage.jst.go.jp/search/global/_search/-char/en?item=8&word=Akihiko+ITO">Akihiko ITO</a>, <a href="https://www.jstage.jst.go.jp/search/global/_search/-char/en?item=8&word=Taku+UMEZAWA">Taku UMEZAWA</a>, <a href="https://www.jstage.jst.go.jp/search/global/_search/-char/en?item=8&word=Nobuko+SAIGUSA">Nobuko SAIGUSA</a>, <a href="https://www.jstage.jst.go.jp/search/global/_search/-char/en?item=8&word=Shinji+MORIMOTO">Shinji MORIMOTO</a>, <a href="https://www.jstage.jst.go.jp/search/global/_search/-char/en?item=8&word=Shuji+AOKI">Shuji AOKI</a>, <a href="https://www.jstage.jst.go.jp/search/global/_search/-char/en?item=8&word=Greet+JANSSENS-MAENHOUT">Greet JANSSENS-MAENHOUT</a>, <a href="https://www.jstage.jst.go.jp/search/global/_search/-char/en?item=8&word=Ryo+FUJITA">Ryo FUJITA</a>, <a href="https://www.jstage.jst.go.jp/search/global/_search/-char/en?item=8&word=Masayuki+TAKIGAWA">Masayuki TAKIGAWA</a>, <a href="https://www.jstage.jst.go.jp/search/global/_search/-char/en?item=8&word=Shingo+WATANABE">Shingo WATANABE</a>, <a href="https://www.jstage.jst.go.jp/search/global/_search/-char/en?item=8&word=Naoko+SAITOH">Naoko SAITOH</a>, <a href="https://www.jstage.jst.go.jp/search/global/_search/-char/en?item=8&word=Josep+G.+CANADELL">Josep G. CANADELL</a></p> <p>DOI <a href="https://doi.org/10.2151/jmsj.2021-015">https://doi.org/10.2151/jmsj.2021-015</a></p>
MIROC4-ACTM CO2 Inversion flux (2001-2022)
<p>This dataset is prepared for GCP CO2-2023 assessment. </p> <p>Inversion Details are in:</p> <div> <div>Chandra, N., Patra, P. K., Niwa, Y., Ito, A., Iida, Y., Goto, D., Morimoto, S., Kondo, M., Takigawa, M., Hajima, T., and Watanabe, M.: Estimated regional CO<sub>2</sub> flux and uncertainty based on an ensemble of atmospheric CO<sub>2</sub> inversions, Atmos. Chem. Phys., 22, 9215–9243, https://doi.org/10.5194/acp-22-9215-2022, 2022</div> <div> </div> <div>MIROC4-ACTM Details:</div> <div><span>Patra, P. K., Takigawa, M., Watanabe, S., Chandra, N., Ishijima, K., and Yamashita, Y.: Improved Chemical Tracer Simulation by MIROC4.0-based Atmospheric Chemistry-Transport Model (MIROC4-ACTM), SOLA, 14, 91–96, <a href="https://doi.org/10.2151/sola.2018-016">https://doi.org/10.2151/sola.2018-016</a>, 2018. </span></div> <div> </div> <div> </div> </div>
Simulated CO2 time series data based on Jena CO2 inversion and TM3 transport model, and MIROC-ACTM
<p>Each file contains simulated CO2 time series at each surface station. The model, simulation type, and station are specified in the file name. These simulations are driven by either varying winds alone (e.g., Jena_W) or varying winds and fluxes (e.g., Jena_WF). The only MIROC-ACTM run is named ACTM_W_MLO.</p>
MIROC4-ACTM CO2 Inversion flux (2001-2020; case s050_ux4_gc3t)
<p>Details in :</p> <p>Chandra, N., Patra, P. K., Niwa, Y., Ito, A., Iida, Y., Goto, D., Morimoto, S., Kondo, M., Takigawa, M., Hajima, T., and Watanabe, M.: Estimated regional CO<sub>2</sub> flux and uncertainty based on an ensemble of atmospheric CO<sub>2</sub> inversions, Atmos. Chem. Phys. Discuss. [preprint], https://doi.org/10.5194/acp-2021-1039, in review, 2021.</p>
MIROC4-ACTM N2O inversion fluxes (1997-2019)
<p>As described in</p> <p>Patra, P. K., E. J. Dlugokencky, J. W. Elkins, G. S. Dutton,. Y. Tohjima, M. Sasakawa, A. Ito, R. F. Weiss, M. Manizza, P. B. Krummel, R. G. Prinn, S. O'Doherty, D. Bianchi, C. Nevison, E. Solazzo, H. Lee, S. Joo, E. A. Kort, S. Maity, and M. Takigawa, 2022: Forward and inverse modelling of atmospheric nitrous oxide using MIROC4-atmospheric chemistry-transport model.<em> J. Meteor. Soc. Japan</em>, <strong>100</strong>,<br> <a href="https://doi.org/10.2151/jmsj.2022-018">https://doi.org/10.2151/jmsj.2022-018.</a></p>
MIROC4-ACTM: Model setup, input and output data for CH4 LETKF (Bisht et al., GMD-D, 2022)
<p>Details in :</p> <p>Bisht, J. S. H., Patra, P. K., Takigawa, M., Sekiya, T., Kanaya, Y., Saitoh, N., and Miyazaki, K.: Estimation of CH<sub>4</sub> emission based on advanced 4D-LETKF assimilation system, EGUsphere [preprint], https://doi.org/10.5194/egusphere-2022-719, 2022.</p>
A Phase 1a/1b Study of ACTM-838 in Patients With Advanced Solid Tumors
ClinicalTrials.gov study NCT06336148. IPD Sharing: NO. Countries: 2. Publications: 0.
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.