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81 results for “present day”
Dual expansion routes likely underlie the present-day population structure in a Parnassius butterfly across the Japanese Archipelago
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High-resolution quasi-idealized experiments for future and present-day based upon composites from a decades-long set of recurving landfalling (RCL) North Atlantic ET cases
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Data from: Genetic differentiation of western capercaillie in the Carpathian Mountains reveal the importance of post glacial expansions and habitat connectivity in understanding the present day European distribution
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Data from: Zooid size reduction in cyclostome bryozoans from the Late Triassic to the present-day
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Time-series of groundwater recharge, Tiber Riber Basin, Italy from 801 CE to the present day
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Heat flow at present-day Mars and evolutionary frame of the Martian heat flows
<p><strong>Citation of global grids and maps: </strong>For more information about the methodology of the generation of SHF and CHF models of Mars please check and cite <strong>Parro, L., Jiménez-Díaz, A., Mansilla, F. <em>et al.</em> Present-day heat flow model of Mars. <em>Sci Rep</em> 7, 45629 (2017). https://doi.org/10.1038/srep45629</strong></p> <p>-------------------------------------------------------------------</p> <p>In the frame of the UPWARDS project, researchers of the Universidad Complutense de Madrid (UCM, Spain) have developed <strong>crustal thickness (CT), crustal heat flow (CHF) and surface heat flow (SHF) models for Mars at different ages </strong>(present-day, 1.5 Gyr, 3.0 Gyr, 3.5 Gyr), which are freely available for science and education.</p> <p>This work has received funding from the European Union's Horizon 2020 Programme (H2020-Compet-08-2014) under grant agreement UPWARDS-633127.</p> <p>For a interactive view, please check: https://ucmadrid.maps.arcgis.com/apps/webappviewer/index.html?id=1ac196e992bd4b7393aa288d20801f4c</p> <p>-------------------------------------------------------------------</p> <p>Other references:</p> <p>Ruiz, J., McGovern, P.J., Jiménez-Díaz, A., López, V., Williams, J-P., Hahn, B.C., Tejero, R., 2011. The thermal evolution of Mars as constrained by paleo-heat flows. Icarus 215, 508-517.</p> <p>Ruiz, J., 2014. The early heat loss evolution of Mars and their implications for internal and environmental history. Sci. Rep. 4, 4338. doi:10.1038/srep04338.</p> <p>Egea-González, I., Jiménez-Díaz, A., Parro, L.M., López, V., Williams, J.-P., Ruiz, J., 2017. Thrust fault modeling and Late-Noachian lithospheric structure of the circum-Hellas region, Mars. Icarus 288, 53-68.</p> <p>Jiménez-Díaz, A., Egea-Gonzalez, I., Parro, L. M., Tasaka, M., & Ruiz, J. (2020). The thermal structure and mechanical behavior of the martian lithosphere. <em>Icarus</em>, <em>353</em>, 113635. https://doi.org/10.1016/j.icarus.2020.113635</p> <p> </p>
Identifying and mapping the different ecosystem services around Mosvatnet from the 1930s until present day
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Monthly averaged in-cloud coronas extracted from present-day (2000-2009) and projected (2091-2095) EMAC simulations (T42L90MA resolution)
<p>About Dataset</p> <p>Unscaled monthly averaged in-cloud corona data extracted from present-day (2000-2010) and projected (2090-2095) EMAC simulations (T42L90MA resolution). Authors: Sergio Soler, Francisco J. Gordillo-Vazquez, Francisco J. Perez-Invernon, Patrick Jöckel, Torsten Neubert, Víctor Reglero, Nikolau Ostgaard.</p> <p>Example:</p> <p><br>netcdf BLUEs_10y_2l___20000201_0000_bluesbcl__\ _gp {<br>dimensions:<br> time = UNLIMITED ; // (1 currently)<br> lon = 128 ;<br> lat = 64 ;<br> lev = 90 ;<br> tbnds = 2 ;<br>variables:<br> double time(time) ;<br> time:long_name = "time" ;<br> time:bounds = "time_bnds" ;<br> time:units = "day since 2000-01-01 00:00:00" ;<br> time:calendar = "gregorian" ;<br> double YYYYMMDD(time) ;<br> YYYYMMDD:long_name = "time" ;<br> YYYYMMDD:units = "days as %Y%m%d.%f" ;<br> YYYYMMDD:calendar = "gregorian" ;<br> double dt(time) ;<br> dt:long_name = "delta_time" ;<br> dt:units = "s" ;<br> double nstep(time) ;<br> nstep:long_name = "current time step" ;<br> float lon(lon) ;<br> lon:long_name = "longitude" ;<br> lon:units = "degrees_east" ;<br> float lat(lat) ;<br> lat:long_name = "latitude" ;<br> lat:units = "degrees_north" ;<br> float lev(lev) ;<br> lev:long_name = "hybrid level at layer midpoints" ;<br> lev:standard_name = "hybrid_sigma_pressure" ;<br> lev:units = "level" ;<br> lev:positive = "down" ;<br> lev:formula = "hyam hybm (press=hyam+hybm*aps)" ;<br> lev:borders = "ilev" ;<br> float hyam(lev) ;<br> hyam:long_name = "hybrid A coefficient at layer midpoints" ;<br> hyam:units = "Pa" ;<br> float hybm(lev) ;<br> hybm:long_name = "hybrid B coefficient at layer midpoints" ;<br> hybm:units = "1" ;<br> float bps(time, lat, lon) ;<br> bps:long_name = "BJ flash frequency" ;<br> bps:units = "1/s" ;<br> bps:coordinates = "lon lat" ;<br> bps:cell_methods = "time: point" ;<br> float bps_ave(time, lat, lon) ;<br> bps_ave:long_name = "BJ flash frequency" ;<br> bps_ave:units = "1/s" ;<br> bps_ave:coordinates = "lon lat" ;<br> bps_ave:cell_methods = "time: mean" ;<br> float bps_std(time, lat, lon) ;<br> bps_std:long_name = "BJ flash frequency" ;<br> bps_std:units = "1/s" ;<br> bps_std:coordinates = "lon lat" ;<br> bps_std:cell_methods = "time: standard_deviation" ;<br> float bpsm2(time, lat, lon) ;<br> bpsm2:long_name = "BJ flash density" ;<br> bpsm2:units = "1/s/m2" ;<br> bpsm2:coordinates = "lon lat" ;<br> bpsm2:cell_methods = "time: point" ;<br> float bpsm2_ave(time, lat, lon) ;<br> bpsm2_ave:long_name = "BJ flash density" ;<br> bpsm2_ave:units = "1/s/m2" ;<br> bpsm2_ave:coordinates = "lon lat" ;<br> bpsm2_ave:cell_methods = "time: mean" ;<br> float bpsm2_std(time, lat, lon) ;<br> bpsm2_std:long_name = "BJ flash density" ;<br> bpsm2_std:units = "1/s/m2" ;<br> bpsm2_std:coordinates = "lon lat" ;<br> bpsm2_std:cell_methods = "time: standard_deviation" ;<br> float npcanz(time, lat, lon) ;<br> npcanz:long_name = "no. of BLUEs events" ;<br> npcanz:units = "" ;<br> npcanz:coordinates = "lon lat" ;<br> npcanz:cell_methods = "time: point" ;<br> float npcanz_ave(time, lat, lon) ;<br> npcanz_ave:long_name = "no. of BLUEs events" ;<br> npcanz_ave:units = "" ;<br> npcanz_ave:coordinates = "lon lat" ;<br> npcanz_ave:cell_methods = "time: mean" ;<br> float npcanz_std(time, lat, lon) ;<br> npcanz_std:long_name = "no. of BLUEs events" ;<br> npcanz_std:units = "" ;<br> npcanz_std:coordinates = "lon lat" ;<br> npcanz_std:cell_methods = "time: standard_deviation" ;<br> float N2Obj(time, lat, lon) ;<br> N2Obj:long_name = "BJ N2O blue emission" ;<br> N2Obj:units = "kg(N)" ;<br> N2Obj:coordinates = "lon lat" ;<br> N2Obj:cell_methods = "time: point" ;<br> float N2Obj_ave(time, lat, lon) ;<br> N2Obj_ave:long_name = "BJ N2O blue emission" ;<br> N2Obj_ave:units = "kg(N)" ;<br> N2Obj_ave:coordinates = "lon lat" ;<br> N2Obj_ave:cell_methods = "time: mean" ;<br> float N2Obj_std(time, lat, lon) ;<br> N2Obj_std:long_name = "BJ N2O blue emission" ;<br> N2Obj_std:units = "kg(N)" ;<br> N2Obj_std:coordinates = "lon lat" ;<br> N2Obj_std:cell_methods = "time: standard_deviation" ;<br> float NObj(time, lat, lon) ;<br> NObj:long_name = "BJ NO blue emission" ;<br> NObj:units = "kg(N)" ;<br> NObj:coordinates = "lon lat" ;<br> NObj:cell_methods = "time: point" ;<br> float NObj_ave(time, lat, lon) ;<br> NObj_ave:long_name = "BJ NO blue emission" ;<br> NObj_ave:units = "kg(N)" ;<br> NObj_ave:coordinates = "lon lat" ;<br> NObj_ave:cell_methods = "time: mean" ;<br> float NObj_std(time, lat, lon) ;<br> NObj_std:long_name = "BJ NO blue emission" ;<br> NObj_std:units = "kg(N)" ;<br> NObj_std:coordinates = "lon lat" ;<br> NObj_std:cell_methods = "time: standard_deviation" ;<br> float NO2bj(time, lat, lon) ;<br> NO2bj:long_name = "BJ NO2 blue emission" ;<br> NO2bj:units = "kg(N)" ;<br> NO2bj:coordinates = "lon lat" ;<br> NO2bj:cell_methods = "time: point" ;<br> float NO2bj_ave(time, lat, lon) ;<br> NO2bj_ave:long_name = "BJ NO2 blue emission" ;<br> NO2bj_ave:units = "kg(N)" ;<br> NO2bj_ave:coordinates = "lon lat" ;<br> NO2bj_ave:cell_methods = "time: mean" ;<br> float NO2bj_std(time, lat, lon) ;<br> NO2bj_std:long_name = "BJ NO2 blue emission" ;<br> NO2bj_std:units = "kg(N)" ;<br> NO2bj_std:coordinates = "lon lat" ;<br> NO2bj_std:cell_methods = "time: standard_deviation" ;<br> float OHbj(time, lat, lon) ;<br> OHbj:long_name = "BJ OH blue emission" ;<br> OHbj:units = "kg(N)" ;<br> OHbj:coordinates = "lon lat" ;<br> OHbj:cell_methods = "time: point" ;<br> float OHbj_ave(time, lat, lon) ;<br> OHbj_ave:long_name = "BJ OH blue emission" ;<br> OHbj_ave:units = "kg(N)" ;<br> OHbj_ave:coordinates = "lon lat" ;<br> OHbj_ave:cell_methods = "time: mean" ;<br> float OHbj_std(time, lat, lon) ;<br> OHbj_std:long_name = "BJ OH blue emission" ;<br> OHbj_std:units = "kg(N)" ;<br> OHbj_std:coordinates = "lon lat" ;<br> OHbj_std:cell_methods = "time: standard_deviation" ;<br> float HO2bj(time, lat, lon) ;<br> HO2bj:long_name = "BJ HO2 blue emission" ;<br> HO2bj:units = "kg(N)" ;<br> HO2bj:coordinates = "lon lat" ;<br> HO2bj:cell_methods = "time: point" ;<br> float HO2bj_ave(time, lat, lon) ;<br> HO2bj_ave:long_name = "BJ HO2 blue emission" ;<br> HO2bj_ave:units = "kg(N)" ;<br> HO2bj_ave:coordinates = "lon lat" ;<br> HO2bj_ave:cell_methods = "time: mean" ;<br> float HO2bj_std(time, lat, lon) ;<br> HO2bj_std:long_name = "BJ HO2 blue emission" ;<br> HO2bj_std:units = "kg(N)" ;<br> HO2bj_std:coordinates = "lon lat" ;<br> HO2bj_std:cell_methods = "time: standard_deviation" ;<br> float O3bj(time, lat, lon) ;<br> O3bj:long_name = "BJ O3 blue emission" ;<br> O3bj:units = "kg(N)" ;<br> O3bj:coordinates = "lon lat" ;<br> O3bj:cell_methods = "time: point" ;<br> float O3bj_ave(time, lat, lon) ;<br> O3bj_ave:long_name = "BJ O3 blue emission" ;<br> O3bj_ave:units = "kg(N)" ;<br> O3bj_ave:coordinates = "lon lat" ;<br> O3bj_ave:cell_methods = "time: mean" ;<br> float O3bj_std(time, lat, lon) ;<br> O3bj_std:long_name = "BJ O3 blue emission" ;<br> O3bj_std:units = "kg(N)" ;<br> O3bj_std:coordinates = "lon lat" ;<br> O3bj_std:cell_methods = "time: standard_deviation" ;<br> float cth(time, lat, lon) ;<br> cth:long_name = "cloud top height" ;<br> cth:units = "m" ;<br> cth:coordinates = "lon lat" ;<br> cth:cell_methods = "time: point" ;<br> float cth_ave(time, lat, lon) ;<br> cth_ave:long_name = "cloud top height" ;<br> cth_ave:units = "m" ;<br> cth_ave:coordinates = "lon lat" ;<br> cth_ave:cell_methods = "time: mean" ;<br> float cth_std(time, lat, lon) ;<br> cth_std:long_name = "cloud top height" ;<br> cth_std:units = "m" ;<br> cth_std:coordinates = "lon lat" ;<br> cth_std:cell_methods = "time: standard_deviation" ;<br> float ctrop(time, lat, lon) ;<br> ctrop:long_name = "tropopause height" ;<br> ctrop:units = "m" ;<br> ctrop:coordinates = "lon lat" ;<br> ctrop:cell_methods = "time: point" ;<br> float ctrop_ave(time, lat, lon) ;<br> ctrop_ave:long_name = "tropopause height" ;<br> ctrop_ave:units = "m" ;<br> ctrop_ave:coordinates = "lon lat" ;<br> ctrop_ave:cell_methods = "time: mean" ;<br> float ctrop_std(time, lat, lon) ;<br> ctrop_std:long_name = "tropopause height" ;<br> ctrop_std:units = "m" ;<br> ctrop_std:coordinates = "lon lat" ;<br> ctrop_std:cell_methods = "time: standard_deviation" ;<br> float cbh(time, lat, lon) ;<br> cbh:long_name = "cloud bottom height" ;<br> cbh:units = "m" ;<br> cbh:coordinates = "lon lat" ;<br> cbh:cell_methods = "time: point" ;<br> float cbh_ave(time, lat, lon) ;<br> cbh_ave:long_name = "cloud bottom height" ;<br> cbh_ave:units = "m" ;<br> cbh_ave:coordinates = "lon lat" ;<br> cbh_ave:cell_methods = "time: mean" ;<br> float cbh_std(time, lat, lon) ;<br> cbh_std:long_name = "cloud bottom height" ;<br> cbh_std:units = "m" ;<br> cbh_std:coordinates = "lon lat" ;<br> cbh_std:cell_methods = "time: standard_deviation" ;<br> float cth_idx(time, lat, lon) ;<br> cth_idx:long_name = "cloud top index" ;<br> cth_idx:units = "" ;<br> cth_idx:coordinates = "lon lat" ;<br> cth_idx:cell_methods = "time: point" ;<br> float cth_idx_ave(time, lat, lon) ;<br> cth_idx_ave:long_name = "cloud top index" ;<br> cth_idx_ave:units = "" ;<br> cth_idx_ave:coordinates = "lon lat" ;<br> cth_idx_ave:cell_methods = "time: mean" ;<br> float cth_idx_std(time, lat, lon) ;<br> cth_idx_std:long_name = "cloud top index" ;<br> cth_idx_std:units = "" ;<br> cth_idx_std:coordinates = "lon lat" ;<br> cth_idx_std:cell_methods = "time: standard_deviation" ;<br> float trop_idx(time, lat, lon) ;<br> trop_idx:long_name = "tropopause index" ;<br> trop_idx:units = "" ;<br> trop_idx:coordinates = "lon lat" ;<br> trop_idx:cell_methods = "time: point" ;<br> float trop_idx_ave(time, lat, lon) ;<br> trop_idx_ave:long_name = "tropopause index" ;<br> trop_idx_ave:units = "" ;<br> trop_idx_ave:coordinates = "lon lat" ;<br> trop_idx_ave:cell_methods = "time: mean" ;<br> float trop_idx_std(time, lat, lon) ;<br> trop_idx_std:long_name = "tropopause index" ;<br> trop_idx_std:units = "" ;<br> trop_idx_std:coordinates = "lon lat" ;<br> trop_idx_std:cell_methods = "time: standard_deviation" ;<br> float xbjn2o(time, lev, lat, lon) ;<br> xbjn2o:long_name = "blue N2O emission" ;<br> xbjn2o:units = "kg(N)/s/m3" ;<br> xbjn2o:coordinates = "lon lat" ;<br> xbjn2o:cell_methods = "time: point" ;<br> float xbjn2o_ave(time, lev, lat, lon) ;<br> xbjn2o_ave:long_name = "blue N2O emission" ;<br> xbjn2o_ave:units = "kg(N)/s/m3" ;<br> xbjn2o_ave:coordinates = "lon lat" ;<br> xbjn2o_ave:cell_methods = "time: mean" ;<br> float xbjn2o_std(time, lev, lat, lon) ;<br> xbjn2o_std:long_name = "blue N2O emission" ;<br> xbjn2o_std:units = "kg(N)/s/m3" ;<br> xbjn2o_std:coordinates = "lon lat" ;<br> xbjn2o_std:cell_methods = "time: standard_deviation" ;<br> float telbjn2o(time, lev, lat, lon) ;<br> telbjn2o:long_name = "blue N2O emission tendency" ;<br> telbjn2o:units = "mol/mol/s" ;<br> telbjn2o:coordinates = "lon lat" ;<br> telbjn2o:cell_methods = "time: point" ;<br> float telbjn2o_ave(time, lev, lat, lon) ;<br> telbjn2o_ave:long_name = "blue N2O emission tendency" ;<br> telbjn2o_ave:units = "mol/mol/s" ;<br> telbjn2o_ave:coordinates = "lon lat" ;<br> telbjn2o_ave:cell_methods = "time: mean" ;<br> float telbjn2o_std(time, lev, lat, lon) ;<br> telbjn2o_std:long_name = "blue N2O emission tendency" ;<br> telbjn2o_std:units = "mol/mol/s" ;<br> telbjn2o_std:coordinates = "lon lat" ;<br> telbjn2o_std:cell_methods = "time: standard_deviation" ;<br> float xbjno(time, lev, lat, lon) ;<br> xbjno:long_name = "blue NO emission" ;<br> xbjno:units = "kg(N)/s/m3" ;<br> xbjno:coordinates = "lon lat" ;<br> xbjno:cell_methods = "time: point" ;<br> float xbjno_ave(time, lev, lat, lon) ;<br> xbjno_ave:long_name = "blue NO emission" ;<br> xbjno_ave:units = "kg(N)/s/m3" ;<br> xbjno_ave:coordinates = "lon lat" ;<br> xbjno_ave:cell_methods = "time: mean" ;<br> float xbjno_std(time, lev, lat, lon) ;<br> xbjno_std:long_name = "blue NO emission" ;<br> xbjno_std:units = "kg(N)/s/m3" ;<br> xbjno_std:coordinates = "lon lat" ;<br> xbjno_std:cell_methods = "time: standard_deviation" ;<br> float telbjno(time, lev, lat, lon) ;<br> telbjno:long_name = "blue NO emission tendency" ;<br> telbjno:units = "mol/mol/s" ;<br> telbjno:coordinates = "lon lat" ;<br> telbjno:cell_methods = "time: point" ;<br> float telbjno_ave(time, lev, lat, lon) ;<br> telbjno_ave:long_name = "blue NO emission tendency" ;<br> telbjno_ave:units = "mol/mol/s" ;<br> telbjno_ave:coordinates = "lon lat" ;<br> telbjno_ave:cell_methods = "time: mean" ;<br> float telbjno_std(time, lev, lat, lon) ;<br> telbjno_std:long_name = "blue NO emission tendency" ;<br> telbjno_std:units = "mol/mol/s" ;<br> telbjno_std:coordinates = "lon lat" ;<br> telbjno_std:cell_methods = "time: standard_deviation" ;<br> float xbjno2(time, lev, lat, lon) ;<br> xbjno2:long_name = "blue no2 emission" ;<br> xbjno2:units = "kg(N)/s/m3" ;<br> xbjno2:coordinates = "lon lat" ;<br> xbjno2:cell_methods = "time: point" ;<br> float xbjno2_ave(time, lev, lat, lon) ;<br> xbjno2_ave:long_name = "blue no2 emission" ;<br> xbjno2_ave:units = "kg(N)/s/m3" ;<br> xbjno2_ave:coordinates = "lon lat" ;<br> xbjno2_ave:cell_methods = "time: mean" ;<br> float xbjno2_std(time, lev, lat, lon) ;<br> xbjno2_std:long_name = "blue no2 emission" ;<br> xbjno2_std:units = "kg(N)/s/m3" ;<br> xbjno2_std:coordinates = "lon lat" ;<br> xbjno2_std:cell_methods = "time: standard_deviation" ;<br> float telbjno2(time, lev, lat, lon) ;<br> telbjno2:long_name = "blue no2 emission tendency" ;<br> telbjno2:units = "mol/mol/s" ;<br> telbjno2:coordinates = "lon lat" ;<br> telbjno2:cell_methods = "time: point" ;<br> float telbjno2_ave(time, lev, lat, lon) ;<br> telbjno2_ave:long_name = "blue no2 emission tendency" ;<br> telbjno2_ave:units = "mol/mol/s" ;<br> telbjno2_ave:coordinates = "lon lat" ;<br> telbjno2_ave:cell_methods = "time: mean" ;<br> float telbjno2_std(time, lev, lat, lon) ;<br> telbjno2_std:long_name = "blue no2 emission tendency" ;<br> telbjno2_std:units = "mol/mol/s" ;<br> telbjno2_std:coordinates = "lon lat" ;<br> telbjno2_std:cell_methods = "time: standard_deviation" ;<br> float xbjoh(time, lev, lat, lon) ;<br> xbjoh:long_name = "blue oh emission" ;<br> xbjoh:units = "kg(N)/s/m3" ;<br> xbjoh:coordinates = "lon lat" ;<br> xbjoh:cell_methods = "time: point" ;<br> float xbjoh_ave(time, lev, lat, lon) ;<br> xbjoh_ave:long_name = "blue oh emission" ;<br> xbjoh_ave:units = "kg(N)/s/m3" ;<br> xbjoh_ave:coordinates = "lon lat" ;<br> xbjoh_ave:cell_methods = "time: mean" ;<br> float xbjoh_std(time, lev, lat, lon) ;<br> xbjoh_std:long_name = "blue oh emission" ;<br> xbjoh_std:units = "kg(N)/s/m3" ;<br> xbjoh_std:coordinates = "lon lat" ;<br> xbjoh_std:cell_methods = "time: standard_deviation" ;<br> float telbjoh(time, lev, lat, lon) ;<br> telbjoh:long_name = "blue oh emission tendency" ;<br> telbjoh:units = "mol/mol/s" ;<br> telbjoh:coordinates = "lon lat" ;<br> telbjoh:cell_methods = "time: point" ;<br> float telbjoh_ave(time, lev, lat, lon) ;<br> telbjoh_ave:long_name = "blue oh emission tendency" ;<br> telbjoh_ave:units = "mol/mol/s" ;<br> telbjoh_ave:coordinates = "lon lat" ;<br> telbjoh_ave:cell_methods = "time: mean" ;<br> float telbjoh_std(time, lev, lat, lon) ;<br> telbjoh_std:long_name = "blue oh emission tendency" ;<br> telbjoh_std:units = "mol/mol/s" ;<br> telbjoh_std:coordinates = "lon lat" ;<br> telbjoh_std:cell_methods = "time: standard_deviation" ;<br> float xbjho2(time, lev, lat, lon) ;<br> xbjho2:long_name = "blue ho2 emission" ;<br> xbjho2:units = "kg(N)/s/m3" ;<br> xbjho2:coordinates = "lon lat" ;<br> xbjho2:cell_methods = "time: point" ;<br> float xbjho2_ave(time, lev, lat, lon) ;<br> xbjho2_ave:long_name = "blue ho2 emission" ;<br> xbjho2_ave:units = "kg(N)/s/m3" ;<br> xbjho2_ave:coordinates = "lon lat" ;<br> xbjho2_ave:cell_methods = "time: mean" ;<br> float xbjho2_std(time, lev, lat, lon) ;<br> xbjho2_std:long_name = "blue ho2 emission" ;<br> xbjho2_std:units = "kg(N)/s/m3" ;<br> xbjho2_std:coordinates = "lon lat" ;<br> xbjho2_std:cell_methods = "time: standard_deviation" ;<br> float telbjho2(time, lev, lat, lon) ;<br> telbjho2:long_name = "blue ho2 emission tendency" ;<br> telbjho2:units = "mol/mol/s" ;<br> telbjho2:coordinates = "lon lat" ;<br> telbjho2:cell_methods = "time: point" ;<br> float telbjho2_ave(time, lev, lat, lon) ;<br> telbjho2_ave:long_name = "blue ho2 emission tendency" ;<br> telbjho2_ave:units = "mol/mol/s" ;<br> telbjho2_ave:coordinates = "lon lat" ;<br> telbjho2_ave:cell_methods = "time: mean" ;<br> float telbjho2_std(time, lev, lat, lon) ;<br> telbjho2_std:long_name = "blue ho2 emission tendency" ;<br> telbjho2_std:units = "mol/mol/s" ;<br> telbjho2_std:coordinates = "lon lat" ;<br> telbjho2_std:cell_methods = "time: standard_deviation" ;<br> float xbjo3(time, lev, lat, lon) ;<br> xbjo3:long_name = "blue o3 emission" ;<br> xbjo3:units = "kg(N)/s/m3" ;<br> xbjo3:coordinates = "lon lat" ;<br> xbjo3:cell_methods = "time: point" ;<br> float xbjo3_ave(time, lev, lat, lon) ;<br> xbjo3_ave:long_name = "blue o3 emission" ;<br> xbjo3_ave:units = "kg(N)/s/m3" ;<br> xbjo3_ave:coordinates = "lon lat" ;<br> xbjo3_ave:cell_methods = "time: mean" ;<br> float xbjo3_std(time, lev, lat, lon) ;<br> xbjo3_std:long_name = "blue o3 emission" ;<br> xbjo3_std:units = "kg(N)/s/m3" ;<br> xbjo3_std:coordinates = "lon lat" ;<br> xbjo3_std:cell_methods = "time: standard_deviation" ;<br> float telbjo3(time, lev, lat, lon) ;<br> telbjo3:long_name = "blue o3 emission tendency" ;<br> telbjo3:units = "mol/mol/s" ;<br> telbjo3:coordinates = "lon lat" ;<br> telbjo3:cell_methods = "time: point" ;<br> float telbjo3_ave(time, lev, lat, lon) ;<br> telbjo3_ave:long_name = "blue o3 emission tendency" ;<br> telbjo3_ave:units = "mol/mol/s" ;<br> telbjo3_ave:coordinates = "lon lat" ;<br> telbjo3_ave:cell_methods = "time: mean" ;<br> float telbjo3_std(time, lev, lat, lon) ;<br> telbjo3_std:long_name = "blue o3 emission tendency" ;<br> telbjo3_std:units = "mol/mol/s" ;<br> telbjo3_std:coordinates = "lon lat" ;<br> telbjo3_std:cell_methods = "time: standard_deviation" ;<br> float precon(time, lat, lon) ;<br> precon:long_name = "convective precipitation at ground" ;<br> precon:units = "mm/s" ;<br> precon:coordinates = "lon lat" ;<br> precon:cell_methods = "time: point" ;<br> float precon_ave(time, lat, lon) ;<br> precon_ave:long_name = "convective precipitation at ground" ;<br> precon_ave:units = "mm/s" ;<br> precon_ave:coordinates = "lon lat" ;<br> precon_ave:cell_methods = "time: mean" ;<br> float precon_std(time, lat, lon) ;<br> precon_std:long_name = "convective precipitation at ground" ;<br> precon_std:units = "mm/s" ;<br> precon_std:coordinates = "lon lat" ;<br> precon_std:cell_methods = "time: standard_deviation" ;<br> float capecon(time, lat, lon) ;<br> capecon:long_name = "CAPE at ground" ;<br> capecon:units = "mm/s" ;<br> capecon:coordinates = "lon lat" ;<br> capecon:cell_methods = "time: point" ;<br> float capecon_ave(time, lat, lon) ;<br> capecon_ave:long_name = "CAPE at ground" ;<br> capecon_ave:units = "mm/s" ;<br> capecon_ave:coordinates = "lon lat" ;<br> capecon_ave:cell_methods = "time: mean" ;<br> float capecon_std(time, lat, lon) ;<br> capecon_std:long_name = "CAPE at ground" ;<br> capecon_std:units = "mm/s" ;<br> capecon_std:coordinates = "lon lat" ;<br> capecon_std:cell_methods = "time: standard_deviation" ;<br> float icecon(time, lat, lon) ;<br> icecon:long_name = "convective ice" ;<br> icecon:units = "kg/kg" ;<br> icecon:coordinates = "lon lat" ;<br> icecon:cell_methods = "time: point" ;<br> float icecon_ave(time, lat, lon) ;<br> icecon_ave:long_name = "convective ice" ;<br> icecon_ave:units = "kg/kg" ;<br> icecon_ave:coordinates = "lon lat" ;<br> icecon_ave:cell_methods = "time: mean" ;<br> float icecon_std(time, lat, lon) ;<br> icecon_std:long_name = "convective ice" ;<br> icecon_std:units = "kg/kg" ;<br> icecon_std:coordinates = "lon lat" ;<br> icecon_std:cell_methods = "time: standard_deviation" ;<br> float liquidcon(time, lat, lon) ;<br> liquidcon:long_name = "convective liquid" ;<br> liquidcon:units = "kg/kg" ;<br> liquidcon:coordinates = "lon lat" ;<br> liquidcon:cell_methods = "time: point" ;<br> float liquidcon_ave(time, lat, lon) ;<br> liquidcon_ave:long_name = "convective liquid" ;<br> liquidcon_ave:units = "kg/kg" ;<br> liquidcon_ave:coordinates = "lon lat" ;<br> liquidcon_ave:cell_methods = "time: mean" ;<br> float liquidcon_std(time, lat, lon) ;<br> liquidcon_std:long_name = "convective liquid" ;<br> liquidcon_std:units = "kg/kg" ;<br> liquidcon_std:coordinates = "lon lat" ;<br> liquidcon_std:cell_methods = "time: standard_deviation" ;<br> float snowcon(time, lat, lon) ;<br> snowcon:long_name = "convective snow" ;<br> snowcon:units = "kg/kg" ;<br> snowcon:coordinates = "lon lat" ;<br> snowcon:cell_methods = "time: point" ;<br> float snowcon_ave(time, lat, lon) ;<br> snowcon_ave:long_name = "convective snow" ;<br> snowcon_ave:units = "kg/kg" ;<br> snowcon_ave:coordinates = "lon lat" ;<br> snowcon_ave:cell_methods = "time: mean" ;<br> float snowcon_std(time, lat, lon) ;<br> snowcon_std:long_name = "convective snow" ;<br> snowcon_std:units = "kg/kg" ;<br> snowcon_std:coordinates = "lon lat" ;<br> snowcon_std:cell_methods = "time: standard_deviation" ;<br> float preclarge(time, lat, lon) ;<br> preclarge:long_name = "large scale precipitation at ground" ;<br> preclarge:coordinates = "lon lat" ;<br> preclarge:cell_methods = "time: point" ;<br> float preclarge_ave(time, lat, lon) ;<br> preclarge_ave:long_name = "large scale precipitation at ground" ;<br> preclarge_ave:coordinates = "lon lat" ;<br> preclarge_ave:cell_methods = "time: mean" ;<br> float preclarge_std(time, lat, lon) ;<br> preclarge_std:long_name = "large scale precipitation at ground" ;<br> preclarge_std:coordinates = "lon lat" ;<br> preclarge_std:cell_methods = "time: standard_deviation" ;<br> float aps(time, lat, lon) ;<br> aps:long_name = "surface pressure" ;<br> aps:units = "Pa" ;<br> aps:representation = "GP_2D_HORIZONTAL" ;<br> aps:grid_type = "gaussian" ;<br> aps:table = 128 ;<br> aps:code = 134 ;<br> aps:REFERENCE_TO = "g3b: aps" ;<br> aps:coordinates = "lon lat" ;<br> aps:cell_methods = "time: point" ;<br> float aps_ave(time, lat, lon) ;<br> aps_ave:long_name = "surface pressure" ;<br> aps_ave:units = "Pa" ;<br> aps_ave:representation = "GP_2D_HORIZONTAL" ;<br> aps_ave:grid_type = "gaussian" ;<br> aps_ave:table = 128 ;<br> aps_ave:code = 134 ;<br> aps_ave:REFERENCE_TO = "g3b: aps" ;<br> aps_ave:coordinates = "lon lat" ;<br> aps_ave:cell_methods = "time: mean" ;<br> float aps_std(time, lat, lon) ;<br> aps_std:long_name = "surface pressure" ;<br> aps_std:units = "Pa" ;<br> aps_std:representation = "GP_2D_HORIZONTAL" ;<br> aps_std:grid_type = "gaussian" ;<br> aps_std:table = 128 ;<br> aps_std:code = 134 ;<br> aps_std:REFERENCE_TO = "g3b: aps" ;<br> aps_std:coordinates = "lon lat" ;<br> aps_std:cell_methods = "time: standard_deviation" ;<br> double time_bnds(time, tbnds) ;<br> time_bnds:long_name = "time bounds" ;<br> time_bnds:units = "days since 2000-01-01T00:00:00Z" ;<br> time_bnds:cell_methods = "time: point" ;</p> <p>// global attributes:<br> :MESSy = "MESSy version d2.55.2, http://www.messy-interface.org" ;<br> :MESSy_switch = "version 1.0" ;<br> :MESSy_channel = "version 2.4.5" ;<br> :MESSy_tracer = "version 2.7" ;<br> :MESSy_timer = "version 0.1" ;<br> :MESSy_qtimer = "version 4.0" ;<br> :MESSy_import = "version 1.1" ;<br> :MESSy_grid = "version 1.6" ;<br> :MESSy_rnd = "version 1.2" ;<br> :MESSy_tendency = "version 0.2" ;<br> :MESSy_aeropt = "version 2.1.0" ;<br> :MESSy_albedo = "version 1.4" ;<br> :MESSy_ch4 = "version 1.6" ;<br> :MESSy_cloud = "version 2.4" ;<br> :MESSy_cloudopt = "version 2.5" ;<br> :MESSy_convect = "version 2.1" ;<br> :MESSy_cvtrans = "version 2.5" ;<br> :MESSy_gwave = "version 1.1" ;<br> :MESSy_jval = "version 14.4" ;<br> :MESSy_lnox = "version 4.0" ;<br> :MESSy_blues = "version 1.0" ;<br> :MESSy_orbit = "version 0.9" ;<br> :MESSy_orogw = "version 1.3" ;<br> :MESSy_qbo = "version 2.3" ;<br> :MESSy_rad = "version 3.0.1" ;<br> :MESSy_e5vdiff = "version 1.3" ;<br> :MESSy_surface = "version 1.3" ;<br> :MESSy_tnudge = "version 3.2" ;<br> :MESSy_tropop = "version 2.2" ;<br> :MESSy_viso = "version 2.5" ;<br> :MESSy_experiment = "BLUEs_10y_2l" ;<br> :EXEC_CHECKSUM = "1e4e5004e03b26d8f74b729315612caa bin/echam5.exe (md5sum)" ;<br> :GCM = "ECHAM5 version 5.3.02, Max-Planck Institute for Meteorology, Hamburg" ;<br> :GCM_spherical_trunc_n = 42 ;<br> :GCM_spherical_trunc_m = 42 ;<br> :GCM_spherical_trunc_k = 42 ;<br> :GCM_vertical_mode = "middle atmosphere (MA)" ;<br> :GCM_horizontal_mode = "global" ;<br> :GCM_advection = "Lin&Rood" ;<br> :GCM_start_date_time = "20000101 000000" ;<br> :GCM_timestep = 600.f ;<br> :F95_COMPILER_VERSION = "GNU Fortran (GCC) 11.2.0" ;<br> :F95_COMPILER_CALL = "/dragofs/sw/foss/0.2/software/OpenMPI/4.1.1-GCC-11.2.0/bin/mpif90" ;<br> :F95_COMPILER_FLAGS = "-g -fbacktrace -cpp -D__linux__ -fno-second-underscore -ffree-line-length-none -fno-range-check -O2" ;<br> :F95_PREPROC_DEFINITIONS = "-DMESSY -DLITTLE_ENDIAN -D_LINUX64 -DPNCREGRID -DMPIOM_13B" ;<br> :F95_COMPILER_INCLUDES_01 = "-I../../mod -I/dragofs/sw/foss/0.2/software/netCDF-Fortran/4.5.3-gompi-2021b/include -I/dragofs/sw/foss/0.2/software/netCDF/4.8.1-gompi-2021b/include -DgFortran -I/dragofs/sw/foss/0.2/software/netCDF-Fortran/4.5.3-gompi-2021b/include -I/dragofs/sw/foss/0.2" ;<br> :F95_COMPILER_INCLUDES_02 = "/software/netCDF-Fortran/4.5.3-gompi-2021b/include" ;<br> :operating_date_time = "20240627 112437" ;<br> :operating_system = "Linux 4.18.0-348.7.1.el8_5.x86_64 on x86_64" ;<br> :operating_host = "drago31040118" ;<br> :operating_user = "fjperez (fjperez)" ;<br> :blues_mode = "production simulation" ;<br> :blues_r_scal_bf = 1.f ;<br> :blues_r_n2opbf = 0.f ;<br> :blues_r_nopbf = 0.f ;<br> :blues_r_no2pbf = 0.f ;<br> :blues_r_ohpbf = 0.f ;<br> :blues_r_ho2pbf = 0.f ;<br> :blues_r_o3pbf = 0.f ;<br> :channel_io_pe = 0 ;<br> :channel_name = "bluesbcl__ _gp" ;<br> :channel_file_type = "output" ;<br> :channel_file_name = "BLUEs_10y_2l___20000201_0000_bluesbcl__ _gp.nc" ;<br> :channel_netcdf_lib = "4.8.1 of May 6 2022 16:22:26 $" ;<br>}</p> <p> </p>
Medieval church patrocinia in the present-day province of Belgian Limburg
Open the record for dataset details and reuse information.
Magnetic Fabric of Freshly Consolidated Lacustrine Mudstones Constrains the "Present-Day" Strain Field
<p>Paper data storage</p>
Supporting datasets used in the paper entitled "Black carbon absorption efficiency under preindustrial and present-day conditions simulated by a size- and mixing-state-resolved global aerosol model"
<p>This archive contains datasets used in the paper entitled "Black carbon absorption efficiency under preindustrial and present-day conditions simulated by a size- and mixing-state-resolved global aerosol model".</p>
Data for: Fossil samples archive functional diversity in marine ecosystems: An empirical test from a present-day coastal environment (Tyler and Kowalewski)
<p>Data associated with "Fossil samples archive functional diversity in marine ecosystems: An empirical test from a present-day coastal environment" by Carrie L. Tyler and Michal Kowalewski. Data include GPS coordinates for sample localities, variables quantifying multivariate space for all three assemblages, trait data for all species, and the associated R code (Functional Fidelity.zip). Abundance data is available in Tyler and Kowalewski (2023) <a href="https://doi.org/10.7717/peerj.15574">10.7717/peerj.15574</a> at <strong><a href="https://github.com/tylercl/Multi-Taxic-Fidelity">https://github.com/tylercl/Multi-Taxic-Fidelity</a> </strong>(DOI: 10.5281/zenodo.7871639).</p>
Evaluation of the Use of the Atalante System in Patients Presenting a Non-traumatic Hemiplegia in Acute-subacute Phase (15 Days to 6 Months).
ClinicalTrials.gov study NCT04187209. IPD Sharing: Not stated. Countries: 1. Publications: 0.
The Effect of Dermatology and Teledermatology Consultations on Length of Hospital Admission, 30 Day Readmission Rate, and Antibiotic Use in Patients Presenting With Cellulitis vs Pseudocellulitis in a
ClinicalTrials.gov study NCT03034694. IPD Sharing: YES. Countries: 1. Publications: 0.
Rapid Profiling of Bone Marrow, at Presentation and After 5 Days of Induction Therapy
ClinicalTrials.gov study NCT01268800. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Effect of Teledermatology on Length of Hospital Admission, Length of Stay, 30 Day Readmission Rate, and Antibiotic Use in Patients Presenting With Cellulitis vs Pseudocellulitis in an Academic ED Sett
ClinicalTrials.gov study NCT03036358. IPD Sharing: YES. Countries: 1. Publications: 0.
Constraining present-day anthropogenic total iron emissions using model and observations
Open the record for dataset details and reuse information.
Present-day crustal movement and seismic moment balance on major active faults around the easternmost segment of the Kunlun fault, Tibetan Plateau, China
Open the record for dataset details and reuse information.
Magnetic Fabric of Freshly Consolidated Lacustrine Mudstones Constrains the "Present-Day" Strain Field
<p>Paper data storage</p>
FIGURE 2 in Extant genus of flat bark beetle (Coleoptera: Silvanidae) with a present-day Australian-southern South American disjunction discovered in Eocene Rovno amber
FIGURE 2. Austronausibius aenigmatista sp. nov., holotype, 6816 [MAIG], habitus: A—right lateral view; B—left lateral view; C—fronto-lateral view. Scale bars represent 1.0 mm.
ScienceDex guides
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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.
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.