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- Stable oxygen isotope ratios of tree-ring cellulose from the site network of the EU-Project ‘ISONET’
Research data keyboard_double_arrow_right Dataset 2023GFZ Data Services EC | PAST4FUTURE, SNSF | Climate and Environmental..., EC | CARBOCHANGEAuthors: ISONET Project Members; Schleser, Gerhard Hans; Andreu-Hayles, Laia; Bednarz, Zdzislaw; +31 AuthorsISONET Project Members; Schleser, Gerhard Hans; Andreu-Hayles, Laia; Bednarz, Zdzislaw; Berninger, Frank; Boettger, Tatjana; Dorado-Liñán, Isabel; Esper, Jan; Grabner, Michael; Gutiérrez, Emilia; Helle, Gerhard; Hilasvuori, Emmi; Jugner, Högne; Kalela-Brundin, Maarit; Krąpiec, Marek; Leuenberger, Markus; Loader, Neil J.; Masson-Delmotte, Valérie; Pawełczyk, Sławomira; Pazdur, Anna; Pukienė, Rūtilė; Rinne-Garmston, Katja T.; Saracino, Antonio; Saurer, Matthias; Sonninen, Eloni; Stiévenard, Michel; Switsur, Vincent R.; Szychowska-Krąpiec, Elżbieta; Szczepanek, M.; Todaro, Luigi; Treydte, Kerstin; Vitas, Adomas; Waterhouse, John S.; Weigl-Kuska, Martin; Wimmer, Rupert;The ISONET project has been striving to improve greatly our understanding of European climate systems providing independent quantitative data for model verification and policy making. A network of 24 sites provides dendrochronological coverage from Iberia to Fennoscandia, Caledonia and the Tyrol. The stable isotope (C, H, O) ratios of these annually resolved time series shall be analysed within this project, to reconstruct past climate regimes (temperature, relative humidity and precipitation characteristics) for the last 400 years. Climate variability shall be addressed on three timescales; decade-century (source water/air mass dominance); inter-annual (quantifying baseline variability, extreme events and recent trends); and intra-annual (high resolution exploration of seasonality signals within tree-rings). ISONET goes far beyond existing tree-ring analyses in its spatial based investigation and interpretation (see also https://cordis.europa.eu/project/id/EVK2-CT-2002-00147). 24 European annually resolved stable isotope chronologies have been constructed from tree ring cellulose for the last 400 years (1600CE – 2003CE) for carbon and oxygen and for the last 100 years for hydrogen. Data was produced within the ISONET project (400 Years of Annual Reconstructions of European Climate Variability Using a Highly Resolved Isotopic Network,) to initiate an extensive spatiotemporal tree-ring stable isotope network across Europe funded as part of the fifth EC Framework Programme “Energy, Environment and Sustainable Development”. This data set comprises the ISONET δ18O records. Wood increment cores of 15 or more Pinus sylvestris, Quercus robur/petraea or Cedrus atlantica tree individuals were taken. Dendro-dated tree-ring material of 4-5 individuals per site was dissected and pooled year by year. After cellulose extraction and homogenization, 18O/16O-ratios of annually resolved samples were determined by Isotope Ratio Mass Spectrometry (IRMS). Time series of 18O/16O are given as d-values versus SMOW. Details can be found in the downloadable “data description” file.
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For further information contact us at helpdesk@openaire.eu Research data keyboard_double_arrow_right Dataset 2021 EnglishUC San Diego Library Digital Collections EC | MAYURBLercari, Nicola; Jaffke, Denise; McAvoy, Scott; Campiani, Arianna; Anderson, Andreas; Aboulhosn, Jad; Gutierrez, David;doi: 10.6075/j01c1wpn
The IBM 3D models and derivative products were generated via a typical Image-based modeling pipeline. The aerial photos were collected by the UC Merced team using a DJI Phantom 3 Pro multi-rotor drone. The geospatial control data was collected by California State Parks licensed surveyor David Gutierrez using a Trimble differential GPS and Trimble robotic total station. The TLS LiDAR data were collected by the UC Merced team using a FARO Focus 3D S120 range finder and processed in FARO Scene and CloudCompare. The CAD drawings were created by Arianna Campiani using orthographic views of the buildings' terrestrial laser scanning point clouds produced by Scott McAvoy in the Potree Viewer. Dataset includes all the natively digital geospatial and 3D data collected in our topographic and 3D survey of the iconic Dechambeau Hotel & IOOF Hall buildings located at the entrance of town on Main St.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2021UC San Diego Library Digital Collections EC | MAYURBLercari, Nicola; Jaffke, Denise; Brown, Scott; McAvoy, Scott; Stark, Brandon; Jiménez Delgado, Gerardo;doi: 10.6075/j0dj5fdb
3D models and derivative products were generated via a typical Image-based modeling pipeline. The 2015 aerial photos were collected by contractor Monarch Inc. using a custom-made multi-rotor drone. The 2020 aerials photos were collected by Denise Jaffke using a DJI Phantom 4 Pro quadcopter drone. All of the IBM 3D models and derivative data were processed in Agisoft Metashape Pro. The geospatial control data was collected by California State Parks licensed surveyor David Gutierrez using a Trimble differential GPS and Trimble robotic total station. Dataset includes all the natively digital geospatial and 3D data collected in our topographic and 3D survey of the Roseklip Mill Complex, a cyanid gold ore processing facility that remained active until the 1940s. The site is located in an area of the park closed to the public and includes a biohazard area that was fenced by the U.S. Environmental Protection Agency.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2021UC San Diego Library Digital Collections EC | MAYURBAuthors: Lercari, Nicola; Jaffke, Denise; Gutierrez, David;Lercari, Nicola; Jaffke, Denise; Gutierrez, David;doi: 10.6075/j00c4vj8
The 2017 TLS LiDAR data were collected by California State Parks using a Trimble range finder and processed in Trimble RealWorks using control collected in the field. The 2019 TLS LiDAR data were collected by the UC Merced team using a FARO Focus 3D S120 range finder then processed in FARO Scene and CloudCompare. No control data were collected in 2019, so the 2019 TLS point cloud is not georeferenced. Dataset includes all the natively digital geospatial and 3D data collected in our topographic and 3D survey of the so called 'Chinese Residence' located in the outskirts of Chinatown near the modern Bypass Rd.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2021 EnglishUC San Diego Library Digital Collections EC | MAYURBLercari, Nicola; Jaffke, Denise; Brown, Scott; Stark, Brandon; Gutierrez, David; Veisze, Paul;doi: 10.6075/j08w3d2w
The IBM 3D models and derivative products were generated via a typical Image-based modeling pipeline. The aerial photos were collected by contractor Monarch Inc. using a custom-made multi-rotor drone. The geospatial control data was collected by California State Parks licensed surveyor David Gutierrez using a Trimble differential GPS and Trimble robotic total station. The TLS LiDAR data were collected by the UC Merced team using a FARO Focus 3D S120 range finder and processed in FARO Scene and CloudCompare. Dataset includes all the natively digital geospatial and 3D data collected in our topographic and 3D survey of the New Standard Hoist structure located on top of the Bodie Bluff in an area closed to visitors.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2021UC San Diego Library Digital Collections EC | MAYURBAuthors: Lercari, Nicola; Jaffke, Denise; Gutierrez, David;Lercari, Nicola; Jaffke, Denise; Gutierrez, David;doi: 10.6075/j07w6bzj
The 2017 TLS LiDAR data were collected by California State Parks using a Trimble range finder and processed in Trimble RealWorks using control collected in the field. The 2019 TLS LiDAR data were collected by the UC Merced team using a FARO Focus 3D S120 range finder then processed in FARO Scene and CloudCompare. No control data were collected in 2019, so the 2019 TLS point cloud is not georeferenced. Dataset includes all the natively digital geospatial and 3D data collected in our topographic and 3D survey of the Rosie McDonald House located in the outskirts of town on the West side of the modern Bypass Rd.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2021UC San Diego Library Digital Collections EC | MAYURBLercari, Nicola; Jaffke, Denise; Brown, Scott; Stark, Brandon; Gutierrez, David;doi: 10.6075/j0j96642
The IBM 3D models and derivative products were generated via a typical Image-based modeling pipeline. The aerial photos were collected by contractor Monarch Inc. using a custom-made multi-rotor drone. The geospatial control data was collected by California State Parks licensed surveyor David Gutierrez using a Trimble differential GPS and Trimble robotic total station. Dataset includes all the natively digital geospatial and 3D data collected in our topographic and 3D survey of the water tanks located on top of the Bodie Bluff in an area closed to visitors.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2021UC San Diego Library Digital Collections EC | MAYURBLercari, Nicola; Jaffke, Denise; McAvoy, Scott; Aboulhosn, Jad; Anderson, Andreas; Flynn, John; Gutierrez David;doi: 10.6075/j0wm1d6r
The geospatial control data was collected by California State Parks licensed surveyor David Gutierrez using a Trimble differential GPS and Trimble robotic total station. The TLS LiDAR data were collected by the UC Merced team using a FARO Focus 3D S120 range finder and processed in FARO Scene and CloudCompare. Dataset includes all the natively digital geospatial and 3D data collected in our topographic and 3D survey of the Benton Railroad office & shed structures located on top of the Bodie Bluff in an area closed to visitors.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2021UC San Diego Library Digital Collections EC | MAYURBAuthors: Lercari, Nicola; Jaffke, Denise; Aboulhosn, Jad; Anderson, Andreas;Lercari, Nicola; Jaffke, Denise; Aboulhosn, Jad; Anderson, Andreas;doi: 10.6075/j0n29wqm
The IBM 3D models and derivative products were generated via a typical Image-based modeling pipeline. The aerial photos were collected by the UC Merced team using a DJI Phantom 3 Pro multi-rotor drone. No geospatial control was collected in the field, so the model was georeferenced using arbitrary markers/GCPs and the Bodie townsite dataset as a reference. Dataset includes all the natively digital geospatial and 3D data collected in our topographic and 3D survey of a downtown area along Main St. including the Lottie Johl House, the Carpenter Shop, the Barber Shop, and the Firehouse.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2021 EnglishUC San Diego Library Digital Collections EC | MAYURBAuthors: Lercari, Nicola; Jaffke, Denise; Aboulhosn, Jad; Anderson, Andreas;Lercari, Nicola; Jaffke, Denise; Aboulhosn, Jad; Anderson, Andreas;doi: 10.6075/j0cn73nt
The IBM 3D models and derivative products were generated via a typical Image-based modeling pipeline. The aerial photos were collected by the UC Merced team using a DJI Phantom 3 Pro multi-rotor drone. No geospatial control was collected in the field, so the model was georeferenced using arbitrary markers/GCPs and the Bodie townsite dataset as a reference. Dataset includes all the natively digital geospatial and 3D data collected in our topographic and 3D survey of a downtown area along Green St. including the Methodist Church, the Red Barn, the D.V. Cain House, and the Dolan House.
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- Stable oxygen isotope ratios of tree-ring cellulose from the site network of the EU-Project ‘ISONET’
Research data keyboard_double_arrow_right Dataset 2023GFZ Data Services EC | PAST4FUTURE, SNSF | Climate and Environmental..., EC | CARBOCHANGEAuthors: ISONET Project Members; Schleser, Gerhard Hans; Andreu-Hayles, Laia; Bednarz, Zdzislaw; +31 AuthorsISONET Project Members; Schleser, Gerhard Hans; Andreu-Hayles, Laia; Bednarz, Zdzislaw; Berninger, Frank; Boettger, Tatjana; Dorado-Liñán, Isabel; Esper, Jan; Grabner, Michael; Gutiérrez, Emilia; Helle, Gerhard; Hilasvuori, Emmi; Jugner, Högne; Kalela-Brundin, Maarit; Krąpiec, Marek; Leuenberger, Markus; Loader, Neil J.; Masson-Delmotte, Valérie; Pawełczyk, Sławomira; Pazdur, Anna; Pukienė, Rūtilė; Rinne-Garmston, Katja T.; Saracino, Antonio; Saurer, Matthias; Sonninen, Eloni; Stiévenard, Michel; Switsur, Vincent R.; Szychowska-Krąpiec, Elżbieta; Szczepanek, M.; Todaro, Luigi; Treydte, Kerstin; Vitas, Adomas; Waterhouse, John S.; Weigl-Kuska, Martin; Wimmer, Rupert;The ISONET project has been striving to improve greatly our understanding of European climate systems providing independent quantitative data for model verification and policy making. A network of 24 sites provides dendrochronological coverage from Iberia to Fennoscandia, Caledonia and the Tyrol. The stable isotope (C, H, O) ratios of these annually resolved time series shall be analysed within this project, to reconstruct past climate regimes (temperature, relative humidity and precipitation characteristics) for the last 400 years. Climate variability shall be addressed on three timescales; decade-century (source water/air mass dominance); inter-annual (quantifying baseline variability, extreme events and recent trends); and intra-annual (high resolution exploration of seasonality signals within tree-rings). ISONET goes far beyond existing tree-ring analyses in its spatial based investigation and interpretation (see also https://cordis.europa.eu/project/id/EVK2-CT-2002-00147). 24 European annually resolved stable isotope chronologies have been constructed from tree ring cellulose for the last 400 years (1600CE – 2003CE) for carbon and oxygen and for the last 100 years for hydrogen. Data was produced within the ISONET project (400 Years of Annual Reconstructions of European Climate Variability Using a Highly Resolved Isotopic Network,) to initiate an extensive spatiotemporal tree-ring stable isotope network across Europe funded as part of the fifth EC Framework Programme “Energy, Environment and Sustainable Development”. This data set comprises the ISONET δ18O records. Wood increment cores of 15 or more Pinus sylvestris, Quercus robur/petraea or Cedrus atlantica tree individuals were taken. Dendro-dated tree-ring material of 4-5 individuals per site was dissected and pooled year by year. After cellulose extraction and homogenization, 18O/16O-ratios of annually resolved samples were determined by Isotope Ratio Mass Spectrometry (IRMS). Time series of 18O/16O are given as d-values versus SMOW. Details can be found in the downloadable “data description” file.
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For further information contact us at helpdesk@openaire.eu Research data keyboard_double_arrow_right Dataset 2021 EnglishUC San Diego Library Digital Collections EC | MAYURBLercari, Nicola; Jaffke, Denise; McAvoy, Scott; Campiani, Arianna; Anderson, Andreas; Aboulhosn, Jad; Gutierrez, David;doi: 10.6075/j01c1wpn
The IBM 3D models and derivative products were generated via a typical Image-based modeling pipeline. The aerial photos were collected by the UC Merced team using a DJI Phantom 3 Pro multi-rotor drone. The geospatial control data was collected by California State Parks licensed surveyor David Gutierrez using a Trimble differential GPS and Trimble robotic total station. The TLS LiDAR data were collected by the UC Merced team using a FARO Focus 3D S120 range finder and processed in FARO Scene and CloudCompare. The CAD drawings were created by Arianna Campiani using orthographic views of the buildings' terrestrial laser scanning point clouds produced by Scott McAvoy in the Potree Viewer. Dataset includes all the natively digital geospatial and 3D data collected in our topographic and 3D survey of the iconic Dechambeau Hotel & IOOF Hall buildings located at the entrance of town on Main St.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2021UC San Diego Library Digital Collections EC | MAYURBLercari, Nicola; Jaffke, Denise; Brown, Scott; McAvoy, Scott; Stark, Brandon; Jiménez Delgado, Gerardo;doi: 10.6075/j0dj5fdb
3D models and derivative products were generated via a typical Image-based modeling pipeline. The 2015 aerial photos were collected by contractor Monarch Inc. using a custom-made multi-rotor drone. The 2020 aerials photos were collected by Denise Jaffke using a DJI Phantom 4 Pro quadcopter drone. All of the IBM 3D models and derivative data were processed in Agisoft Metashape Pro. The geospatial control data was collected by California State Parks licensed surveyor David Gutierrez using a Trimble differential GPS and Trimble robotic total station. Dataset includes all the natively digital geospatial and 3D data collected in our topographic and 3D survey of the Roseklip Mill Complex, a cyanid gold ore processing facility that remained active until the 1940s. The site is located in an area of the park closed to the public and includes a biohazard area that was fenced by the U.S. Environmental Protection Agency.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2021UC San Diego Library Digital Collections EC | MAYURBAuthors: Lercari, Nicola; Jaffke, Denise; Gutierrez, David;Lercari, Nicola; Jaffke, Denise; Gutierrez, David;doi: 10.6075/j00c4vj8
The 2017 TLS LiDAR data were collected by California State Parks using a Trimble range finder and processed in Trimble RealWorks using control collected in the field. The 2019 TLS LiDAR data were collected by the UC Merced team using a FARO Focus 3D S120 range finder then processed in FARO Scene and CloudCompare. No control data were collected in 2019, so the 2019 TLS point cloud is not georeferenced. Dataset includes all the natively digital geospatial and 3D data collected in our topographic and 3D survey of the so called 'Chinese Residence' located in the outskirts of Chinatown near the modern Bypass Rd.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2021 EnglishUC San Diego Library Digital Collections EC | MAYURBLercari, Nicola; Jaffke, Denise; Brown, Scott; Stark, Brandon; Gutierrez, David; Veisze, Paul;doi: 10.6075/j08w3d2w
The IBM 3D models and derivative products were generated via a typical Image-based modeling pipeline. The aerial photos were collected by contractor Monarch Inc. using a custom-made multi-rotor drone. The geospatial control data was collected by California State Parks licensed surveyor David Gutierrez using a Trimble differential GPS and Trimble robotic total station. The TLS LiDAR data were collected by the UC Merced team using a FARO Focus 3D S120 range finder and processed in FARO Scene and CloudCompare. Dataset includes all the natively digital geospatial and 3D data collected in our topographic and 3D survey of the New Standard Hoist structure located on top of the Bodie Bluff in an area closed to visitors.
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You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.6075/j08w3d2w&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2021UC San Diego Library Digital Collections EC | MAYURBAuthors: Lercari, Nicola; Jaffke, Denise; Gutierrez, David;Lercari, Nicola; Jaffke, Denise; Gutierrez, David;doi: 10.6075/j07w6bzj
The 2017 TLS LiDAR data were collected by California State Parks using a Trimble range finder and processed in Trimble RealWorks using control collected in the field. The 2019 TLS LiDAR data were collected by the UC Merced team using a FARO Focus 3D S120 range finder then processed in FARO Scene and CloudCompare. No control data were collected in 2019, so the 2019 TLS point cloud is not georeferenced. Dataset includes all the natively digital geospatial and 3D data collected in our topographic and 3D survey of the Rosie McDonald House located in the outskirts of town on the West side of the modern Bypass Rd.
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You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2021UC San Diego Library Digital Collections EC | MAYURBLercari, Nicola; Jaffke, Denise; Brown, Scott; Stark, Brandon; Gutierrez, David;doi: 10.6075/j0j96642
The IBM 3D models and derivative products were generated via a typical Image-based modeling pipeline. The aerial photos were collected by contractor Monarch Inc. using a custom-made multi-rotor drone. The geospatial control data was collected by California State Parks licensed surveyor David Gutierrez using a Trimble differential GPS and Trimble robotic total station. Dataset includes all the natively digital geospatial and 3D data collected in our topographic and 3D survey of the water tanks located on top of the Bodie Bluff in an area closed to visitors.
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