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Image Database SNF-Sinergia Project "In the Shadow of the Tree"
<div> <div> <div> <p>SNF Sinergia Project with four research groups: Profs. Marianne Sommer (University of Lucerne), Simon Teuscher (University of Zurich), Staffan Müller-Wille (University of Exeter and Lübeck), Caroline Arni (University of Basel).</p> <p>Financed by the Swiss National Science Foundation from February 2019 to January 2024.</p> </div> </div> </div> <div> <p>‘In the Shadow of the Tree: The Diagrammatics of Relatedness as Scientific, Scholarly, and Popular Practice’ is an interdisciplinary collaboration of four research groups investigating the bewildering variety of diagrams that have been used to conceptualize, determine, and produce relatedness in Western Europe and in spaces of European expansion since the Late Medieval Period. Work on the ‘tree of life’ has brought to light unexpected evolutionary affinities, and the possibility to study the genetic make-up of human populations as well as to identify the place of individual human DNA within ‘the human family tree’ has impacted our understandings of relatedness. In parallel, new digital methods to visualize such relations have proliferated. Drawing on a long cultural and scientific history, such visualizations tend to take the form of a tree, reflecting the assumption that evolution and descent follow a bifurcating pattern. ‘Tree thinking’ has therefore been identified as a dominant mode of thought and the tree as a canonical icon in modern biology. Indeed, tree thinking has been made out as a general modern Western rationale that reduces relatedness to descent. Rather than tracing the history of a particular idea or icon, however, we offer a comparative analysis of diagrams of relatedness as epistemic, cultural, and political practices. The project introduces a new interdisciplinary approach to diagrammatics that analyzes diagrams as techniques that transcend such binaries as ‘thought and action’ and ‘image and text’ and includes the reconstruction of the practices of collection, observation, experimentation, modelling, drafting, commenting, explaining etc. that inform diagrams of relatedness, as well as the politics of their production and use.</p> </div>
FORMATION OF FUTURE ENGINEERS ON THE BASIS OF HIGHER MATHEMATICS THROUGH THE USE OF INTEGRATED PROJECTS IN EDUCATION
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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>
Molecular Modelling project
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FIGURE 5 in The Belgrade PaleoBlitz: A pilot project to engage amateur paleontologists
FIGURE 5. Self-perceived confidence in specific aspects of the museum curation process after participation in the PaleoBlitz.
Implementing Life Cycle Assessment (LCA) for Columns and Beams in Building Renovation Projects
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Fig. 37 in Unrecorded species of Korean invertebrates discovered through the project of 'Discovery of Korean Indigenous Species' II
Fig. 37. Obesostoma setosum (Okubo, 1980). A. left valve; B. right valve; C. hemipenis; D. A2; E. A1.
Fig. 30 in Unrecorded species of Korean invertebrates discovered through the project of 'Discovery of Korean Indigenous Species' II
Fig. 30. Eupolycope putjatini (Chavtur, 1977). A. right valve; B. A1; C. bellonci organ; D. A2; E. Md; F. fifth leg; G. uropodal lamella.
Fig. 26. Balaustium murorum Hermann, 1804 in Unrecorded species of Korean invertebrates discovered through the project of 'Discovery of Korean Indigenous Species' II
Fig. 26. Balaustium murorum Hermann, 1804 (female). A. dorsal habitus; B. shape of setae. Scale bars: A = 500 μm; B = 50 μm.
Fig. 21 in Unrecorded species of Korean invertebrates discovered through the project of 'Discovery of Korean Indigenous Species' II
Fig. 21. Ventral view of Gaeolaelaps debilis (female adult) with extended genital shield. Scale bar = 100 μm.
Fig. 1 in Unrecorded species of Korean invertebrates discovered through the project of 'Discovery of Korean Indigenous Species' II
Fig. 1. Cross section of Digramma interrupta (Rudolphi, 1810) Dubinina, 1953, larval worm. Scale bar = 2 mm.
Fig. 6 in Unrecorded species of Korean invertebrates discovered through the project of 'Discovery of Korean Indigenous Species' II
Fig. 6. Dero digitata (Müller, 1774). A. ventral chaeta; B. branchial fossa and posterior gills, dorsal aspect in fixed. Scale bars: A = 40 μm; B = 100 μm.
Fig. 15. Macrotrachela libera libera Donner, 1949. A in Unrecorded species of Korean invertebrates discovered through the project of 'Discovery of Korean Indigenous Species' II
Fig. 15. Macrotrachela libera libera Donner, 1949. A. feeding, dorsal view; B. creeping, ventral view. Scale bars = 50 μm.
Fig. 5 in Unrecorded species of Korean invertebrates discovered through the project of 'Discovery of Korean Indigenous Species' II
Fig. 5. Adult worm of Decemtestis takanoha Yamaguti, 1951 from intestine of Goniistius zonatus (Cuvier, 1830). Ventral view. Scale bar = 500 μm.
Evaluation of User Experience for Dashboard Project Management Information System within the Project Operation Unit of a Telecommunication Company
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Project FlexFunction2Sustain Video
<p><span><span>FlexFunction2Sustain project aims at creating an Open Innovation Test Bed (OITB) for nano-functionalisation technologies that enable sustainable and smart plastics and paper based products. The ecosystem will support innovative SMEs and industries by drastically reducing the time-to-market for novel concepts, ideas and products.</span></span></p>
Fig. 1 in Unrecorded species of Korean protozoans discovered through the project of 'Discovery of Korean Indigenous Species' III
Fig. 1. Photomicrographs of Amoebozoa (A-F). A, Centropyxis aculeata minima; B, C. cassis spinifera; C, C. aplanata; D, Difflugia amphoralis; E, D. bicruris; F, D. curvicaulis. Scale bars: 50 μm.
Fig. 2 in Unrecorded species of Korean invertebrates discovered through the project of 'Discovery of Korean Indigenous Species' III
Fig. 2. Girardia tigrina (Girard, 1850). A. Some individuals of G. tigrina (preserved); B. dorsal view (preserved). Scale bars = 5 mm.
Fig. 5 in Unrecorded species of Korean invertebrates discovered through the project of 'Discovery of Korean Indigenous Species' III
Fig. 5. Granulina cotamago (Yokoyama, 1922). Left. Ventral view; Right. Dorsal view. Scale bar = 1 mm.
Fig. 20 in Unrecorded species of Korean invertebrates discovered through the project of 'Discovery of Korean Indigenous Species' III
Fig. 20. SEM images of Spinileberis quadriaculeata. A. right valve, outside view; B. Left valve, inside view. Scale bars = 200 μm.
ScienceDex guides
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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.