Nanopublications LDF server

Matches in Nanopublications for { ?s <http://purl.org/spar/cito/obtainsSupportFrom> ?o ?g. }

• Model%20performance%20for%20predicting%20foliar%20content%20decreased%20when%20tested%20on%20new%20sample%20types%20with%20low%20nitrogen%20and%20phosphorus%20content%2C%20particularly%20mosses%20and%20senescent%20leaves. obtainsSupportFrom s41598-019-44558-9 assertion.
• Model%20performance%20for%20predicting%20foliar%20content%20decreased%20when%20tested%20on%20new%20sample%20types%20with%20low%20nitrogen%20and%20phosphorus%20content%2C%20particularly%20mosses%20and%20senescent%20leaves. obtainsSupportFrom CXRCUW assertion.
• The%20emergence%20of%20the%20pelagic%20morph%20and%20the%20maintenance%20of%20the%20littoral%20morph%20was%20a%20frequent%20outcome%20in%20both%20colonization%20scenarios%20%28about%2040%25%29. obtainsSupportFrom s41598-020-63684-3 assertion.
• The%20emergence%20of%20the%20pelagic%20morph%20and%20the%20maintenance%20of%20the%20littoral%20morph%20was%20a%20frequent%20outcome%20in%20both%20colonization%20scenarios%20%28about%2040%25%29. obtainsSupportFrom PI8PJQ assertion.
• Colonization%20of%20the%20pelagic%20niche%20largely%20required%20the%20absence%20of%20brown%20trout%20which%20is%20the%20only%20pelagic%20predator%20in%20model%20assumptions. obtainsSupportFrom s41598-020-63684-3 assertion.
• Colonization%20of%20the%20pelagic%20niche%20largely%20required%20the%20absence%20of%20brown%20trout%20which%20is%20the%20only%20pelagic%20predator%20in%20model%20assumptions. obtainsSupportFrom PI8PJQ assertion.
• Colonization%20of%20the%20profundal%20niche%20largely%20required%20the%20absence%20of%20burbot%20which%20is%20the%20only%20predator%20that%20can%20be%20found%20there. obtainsSupportFrom s41598-020-63684-3 assertion.
• Colonization%20of%20the%20profundal%20niche%20largely%20required%20the%20absence%20of%20burbot%20which%20is%20the%20only%20predator%20that%20can%20be%20found%20there. obtainsSupportFrom PI8PJQ assertion.
• Single%20pelagic%20morph%20lakes%20%28with%20extinction%20of%20the%20littoral%20morph%29%20were%20observed%20in%20simulations%20under%20high%20predation%20by%20pike%20and%20perch%20but%20were%20more%20common%20in%20the%20Colonization-G%20scenario. obtainsSupportFrom s41598-020-63684-3 assertion.
• Single%20pelagic%20morph%20lakes%20%28with%20extinction%20of%20the%20littoral%20morph%29%20were%20observed%20in%20simulations%20under%20high%20predation%20by%20pike%20and%20perch%20but%20were%20more%20common%20in%20the%20Colonization-G%20scenario. obtainsSupportFrom PI8PJQ assertion.
• The%20cases%20with%20all%20three%20morphs%20present%20were%20very%20rare%20in%20simulations%2C%20occurring%20only%205%20times%20in%20the%20Colonization-L%20scenario%20under%20specific%20conditions%20of%20large%20carrying%20capacity%20for%20the%20profundal%20niche%20and%20weak%20predation%20from%20trout%20and%20burbot. obtainsSupportFrom s41598-020-63684-3 assertion.
• The%20cases%20with%20all%20three%20morphs%20present%20were%20very%20rare%20in%20simulations%2C%20occurring%20only%205%20times%20in%20the%20Colonization-L%20scenario%20under%20specific%20conditions%20of%20large%20carrying%20capacity%20for%20the%20profundal%20niche%20and%20weak%20predation%20from%20trout%20and%20burbot. obtainsSupportFrom PI8PJQ assertion.
• Diversification%20required%20mating%20to%20be%20assortative%20with%20respect%20to%20both%20size%20and%20ecological%20niche. obtainsSupportFrom s41598-020-63684-3 assertion.
• Diversification%20required%20mating%20to%20be%20assortative%20with%20respect%20to%20both%20size%20and%20ecological%20niche. obtainsSupportFrom PI8PJQ assertion.
• Dispersal%20had%20to%20be%20fitness-dependent%20to%20enable%20diversification. obtainsSupportFrom s41598-020-63684-3 assertion.
• Dispersal%20had%20to%20be%20fitness-dependent%20to%20enable%20diversification. obtainsSupportFrom PI8PJQ assertion.
• Colonization%20of%20the%20profundal%20niche%20was%20observed%20mainly%20when%20its%20carrying%20capacity%20was%20the%20largest. obtainsSupportFrom s41598-020-63684-3 assertion.
• Colonization%20of%20the%20profundal%20niche%20was%20observed%20mainly%20when%20its%20carrying%20capacity%20was%20the%20largest. obtainsSupportFrom PI8PJQ assertion.
• The%20absence%20of%20predators%20in%20a%20niche%20results%20in%20fish%20not%20needing%20to%20grow%20large%20and%20thus%20evolving%20earlier%20maturation. obtainsSupportFrom s41598-020-63684-3 assertion.
• The%20absence%20of%20predators%20in%20a%20niche%20results%20in%20fish%20not%20needing%20to%20grow%20large%20and%20thus%20evolving%20earlier%20maturation. obtainsSupportFrom PI8PJQ assertion.
• Diversification%20on%20the%20time-scale%20of%20a%20few%20hundred%20generations%20in%20simulations%20aligns%20with%20empirical%20divergence%20times%20estimated%20for%20whitefish. obtainsSupportFrom s41598-020-63684-3 assertion.
• Diversification%20on%20the%20time-scale%20of%20a%20few%20hundred%20generations%20in%20simulations%20aligns%20with%20empirical%20divergence%20times%20estimated%20for%20whitefish. obtainsSupportFrom PI8PJQ assertion.
• The%20FAIR2Adapt%20project%27s%20data%20processing%20pipeline%20successfully%20transforms%20RiOMAR%20ocean%20model%20outputs%20into%20FAIR%20Digital%20Objects%20by%20regridding%20curvilinear%20data%20to%20ellipsoidal%20HEALPix%20using%20the%20healpix-geo%20library. obtainsSupportFrom small_hp_pyramid.zarr assertion.
• The%20RiOMAR%20hindcast%20simulations%20%281980-2020%29%20reveal%20significant%20water%20quality%20degradation%20patterns%20along%20French%20Atlantic%20coasts%2C%20which%20can%20inform%20climate%20adaptation%20strategies. obtainsSupportFrom small_hp_pyramid.zarr assertion.
• The%20FAIR%20data%20processing%20pipeline%20regrids%20curvilinear%20ocean%20model%20outputs%20to%20ellipsoidal%20HEALPix%2C%20converts%20to%20ARCO%20Zarr%20format%2C%20and%20enriches%20metadata%20using%20STAC%20with%20oceanographic%20domain%20semantics%20from%20I-ADOPT%2C%20resulting%20in%20FAIR%20Digital%20Objects. obtainsSupportFrom small_hp_pyramid.zarr assertion.
• The%20FAIR2Adapt%20project%27s%20data%20processing%20pipeline%20transforms%20RiOMAR%20outputs%20into%20Analysis-Ready%20Cloud-Optimized%20%28ARCO%29%20Zarr%20format. obtainsSupportFrom small_hp_pyramid.zarr assertion.
• The%20pipeline%20incorporates%20STAC%20%28SpatioTemporal%20Asset%20Catalog%29%20with%20oceanographic%20domain%20semantics%20from%20I-ADOPT%20to%20enhance%20metadata%20enrichment. obtainsSupportFrom small_hp_pyramid.zarr assertion.
• The%20FAIR2Adapt%20project%27s%20data%20processing%20pipeline%20adheres%20to%20AGILE%20Reproducible%20Paper%20Guidelines%2C%20utilizing%20version-controlled%20workflows%2C%20containerized%20environments%2C%20and%20comprehensive%20provenance%20metadata%20to%20ensure%20reproducibility. obtainsSupportFrom small_hp_pyramid.zarr assertion.
• The%20FAIR%20data%20processing%20pipeline%20transforms%20RiOMAR%20outputs%20into%20FAIR%20Digital%20Objects%2C%20achieving%20over%2090%25%20compliance%20in%20pilot%20demonstrations%20on%20representative%20datasets. obtainsSupportFrom small_hp_pyramid.zarr assertion.
• The%20FAIR2Adapt%20pipeline%20transforms%20RiOMAR%20hindcast%20simulations%20into%20FAIR%20Digital%20Objects%2C%20making%20high-resolution%20coastal%20ocean%20model%20outputs%20accessible%20and%20analyzable%20for%20climate%20adaptation%20planning. obtainsSupportFrom small_hp_pyramid.zarr assertion.
• The%20FAIR%20Digital%20Objects%20are%20packaged%20in%20RO-Crates%20with%20nanopublications%20and%20registered%20in%20ROHub%20for%20discovery%20and%20reuse%2C%20enabling%20the%20sharing%20and%20reuse%20of%20data. obtainsSupportFrom small_hp_pyramid.zarr assertion.
• The%20HEALPix%20DGGS%20multiscale%20pyramid%20allows%20for%20efficient%20visualization%20of%20Sentinel-2%20Level-1C%20satellite%20data%20from%20global%20overview%20to%2010m%20resolution. obtainsSupportFrom 7 assertion.
• The%20HEALPix%20multiscale%20pyramid%20has%2011%20levels%2C%20with%20the%20finest%20level%20having%20a%20resolution%20of%20approximately%2010%20meters%20and%20the%20coarsest%20level%20having%20a%20resolution%20of%20approximately%2010%20kilometers. obtainsSupportFrom 7 assertion.
• The%20dataset%20is%20stored%20in%20a%20Cloud-optimized%20Zarr%20format%20with%20nested%20HEALPix%20indexing%20on%20the%20WGS84%20ellipsoid%2C%20enabling%20efficient%20data%20retrieval%20and%20visualization. obtainsSupportFrom 7 assertion.
• The%20dataset%20is%20machine-actionable%2C%20allowing%20for%20interactive%20visualization%20at%20any%20zoom%20level%20through%20the%20FAIR2Adapt%20dashboard. obtainsSupportFrom 7 assertion.
• The%20HEALPix%20Discrete%20Global%20Grid%20System%20%28DGGS%29%20can%20be%20applied%20to%20both%20ocean%20model%20outputs%20and%20Earth%20observation%20data%2C%20such%20as%20Sentinel-2%20Level-1C%20satellite%20observations%2C%20for%20efficient%20visualization%20and%20analysis. obtainsSupportFrom 7 assertion.
• The%20Sentinel-2%20Level-1C%20satellite%20observation%20is%20converted%20to%20a%20HEALPix%20DGGS%20multiscale%20pyramid%2C%20covering%20a%20region%20in%20Normandy%2C%20France%2C%20with%20a%20spatial%20coverage%20of%20~48.5%C2%B0N%E2%80%9349.5%C2%B0N%2C%200.5%C2%B0E%E2%80%931.5%C2%B0E. obtainsSupportFrom 7 assertion.
• Mean%20aggregation%20between%20levels%20is%20used%20for%20resampling%20in%20the%20HEALPix%20multiscale%20pyramid. obtainsSupportFrom 7 assertion.
• The%20Sentinel-2%20Level-1C%20satellite%20observation%20was%20successfully%20converted%20to%20a%20HEALPix%20Discrete%20Global%20Grid%20System%20%28DGGS%29%20multiscale%20pyramid%20using%20the%20xhealpixify%20tool. obtainsSupportFrom 7 assertion.
• I-ADOPT%20variable%20decomposition%20is%20applied%20to%20the%20metadata%20of%20the%20Sentinel-2%20Level-1C%20satellite%20observation%20dataset. obtainsSupportFrom 7 assertion.
• The%20Sentinel-2%20Level-1C%20satellite%20observation%20can%20be%20converted%20to%20a%20HEALPix%20DGGS%20multiscale%20pyramid%2C%20enabling%20efficient%20visualization%20from%20global%20overview%20to%2010m%20resolution. obtainsSupportFrom 7 assertion.
• QAOA+quantum+optimization+and+classical+exact+algorithms+identify+identical+optimal+solutions+for+non-overlapping+bifan+motifs+in+a+30-spec+ies+85-link+ecological+food+web+network. obtainsSupportFrom RAY7IdUcyQ8P_WCO6o9NDMz9q2LN6w7bl7ZJnsHQ_sO5g assertion.
• QAOA+quantum+optimization+and+classical+exact+algorithms+identify+identical+optimal+solutions+for+non-overlapping+bifan+motifs+in+a+30-spec+ies+85-link+ecological+food+web+network. obtainsSupportFrom RAYEAxMR70RjeKxl-6sxlSVWdt7RddPADcts68dPH9q58 assertion.
• QAOA+quantum+optimization+and+classical+exact+algorithms+identify+identical+optimal+solutions+for+non-overlapping+bifan+motifs+in+a+30-spec+ies+85-link+ecological+food+web+network. obtainsSupportFrom RA9wRis8A_4TFEmu_cO7vMQjCQcAN7PctCgP6Vtbo4snQ assertion.
• The+QOMIC+quantum+optimization+method+executes+successfully+on+Serengeti+mammal+food+web+data+using+Qiskit+1.2.4+with+QAOA+p%3D2+layers+and+COBYLA+optimizer. obtainsSupportFrom RAY7IdUcyQ8P_WCO6o9NDMz9q2LN6w7bl7ZJnsHQ_sO5g assertion.
• The+QOMIC+quantum+optimization+method+executes+successfully+on+Serengeti+mammal+food+web+data+using+Qiskit+1.2.4+with+QAOA+p%3D2+layers+and+COBYLA+optimizer. obtainsSupportFrom RAYEAxMR70RjeKxl-6sxlSVWdt7RddPADcts68dPH9q58 assertion.
• The+QOMIC+quantum+optimization+method+executes+successfully+on+Serengeti+mammal+food+web+data+using+Qiskit+1.2.4+with+QAOA+p%3D2+layers+and+COBYLA+optimizer. obtainsSupportFrom RA9wRis8A_4TFEmu_cO7vMQjCQcAN7PctCgP6Vtbo4snQ assertion.
• QAOA+quantum+simulation+with+Qiskit+requires+longer+runtime+than+classical+exact+enumeration+for+15-qubit+bifan+motif+identification+problems. obtainsSupportFrom RAY7IdUcyQ8P_WCO6o9NDMz9q2LN6w7bl7ZJnsHQ_sO5g assertion.
• QAOA+quantum+simulation+with+Qiskit+requires+longer+runtime+than+classical+exact+enumeration+for+15-qubit+bifan+motif+identification+problems. obtainsSupportFrom RAYEAxMR70RjeKxl-6sxlSVWdt7RddPADcts68dPH9q58 assertion.
• QAOA+quantum+simulation+with+Qiskit+requires+longer+runtime+than+classical+exact+enumeration+for+15-qubit+bifan+motif+identification+problems. obtainsSupportFrom RA9wRis8A_4TFEmu_cO7vMQjCQcAN7PctCgP6Vtbo4snQ assertion.
• The+Serengeti+mammal+predation+network+contains+629+bifan+motifs+compared+to+a+random+network+mean+of+589.3+bifans+%28p%3D0.023%2C+1000+permutations%29. obtainsSupportFrom RAY7IdUcyQ8P_WCO6o9NDMz9q2LN6w7bl7ZJnsHQ_sO5g assertion.
• The+Serengeti+mammal+predation+network+contains+629+bifan+motifs+compared+to+a+random+network+mean+of+589.3+bifans+%28p%3D0.023%2C+1000+permutations%29. obtainsSupportFrom RAYEAxMR70RjeKxl-6sxlSVWdt7RddPADcts68dPH9q58 assertion.
• The+Serengeti+mammal+predation+network+contains+629+bifan+motifs+compared+to+a+random+network+mean+of+589.3+bifans+%28p%3D0.023%2C+1000+permutations%29. obtainsSupportFrom RA9wRis8A_4TFEmu_cO7vMQjCQcAN7PctCgP6Vtbo4snQ assertion.
• Garfield%20was%20created%20by%20Jim%20Davis. obtainsSupportFrom Jim-Davis-American-cartoonist assertion.

• first
• previous