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297 results for “DOM”
Svalbox-DOM_2023-0033
<p><strong>Model description: </strong><br>Digital outcrop model of Kapp Ringertz, in woodfjorden, Albert I Land, Svabard archipelago.<br><br><strong>Data availability:</strong><br>All uploaded archives are to be extracted to the same directory for a functional working environment, i.e., at the very least consisting of a project folder with the data and metashape subdirectories. The included processing report specifies the processing parameters that were used as input for the processing software (Agisoft Metashape, v2.1.0.17532).<br>Exported model data use CRS epsg:32633.<br><br><strong>Show and visualise on <a href="http://svalbox.no/map">Svalbox.no</a>:</strong><br>Through Svalbox we aim to take geoscientific research and education to the next level – with the simple motto of placing all key information and data sets in their correct spatial position. We bring modern technology, in particular cost-effective digital outcrops, to complement more than 200 years of geoscientific research on Svalbard. Finally, Svalbox provides a sustainable platform for sharing results, workflows and teaching material with the wider geoscientific community.<br><br>For more information, contact the Svalbox team at svalbox[at]gmail.com.<br><br><em>This data set forms part of the Svalbox Digital Model Database.</em><br><br>Please cite the database alongside this resource:<br><br><em>Betlem, Peter and Rodes, Nil and Birchall, Thomas and Dahlin, Anders and Smyrak-Sikora, Aleksandra and Senger, Kim. The Svalbox Digital Model Database: A Geoscientific Window into the High Arctic. Geosphere (2023) 19 (6): 1640-1666. <a href="https://doi.org/10.1130/GES02606.1">https://doi.org/10.1130/GES02606.1</a></em></p>
Svalbox-DOM_2022-0032
<b>Model description: </b><br>Digital outcrop model of Kapp Kåre, in Bjørnoya, Svabard archipelago.<br><br><b>Data availability:</b><br>All uploaded archives are to be extracted to the same directory for a functional working environment, i.e., at the very least consisting of a project folder with the data and metashape subdirectories. The included processing report specifies the processing parameters that were used as input for the processing software (Agisoft Metashape, v2.1.0.17532).<br>Exported model data use CRS epsg:32633.<br><br><b>Show and visualise on <a href="http://svalbox.no/map">Svalbox.no</a>:</b><br>Through Svalbox we aim to take geoscientific research and education to the next level – with the simple motto of placing all key information and data sets in their correct spatial position. We bring modern technology, in particular cost-effective digital outcrops, to complement more than 200 years of geoscientific research on Svalbard. Finally, Svalbox provides a sustainable platform for sharing results, workflows and teaching material with the wider geoscientific community.<br><br>For more information, contact the Svalbox team at svalbox[at]gmail.com.<br><br><em>This data set forms part of the Svalbox Digital Model Database.</em><br><br>Please cite the database alongside this resource:<br><br><em>Betlem, Peter and Rodes, Nil and Birchall, Thomas and Dahlin, Anders and Smyrak-Sikora, Aleksandra and Senger, Kim. The Svalbox Digital Model Database: A Geoscientific Window into the High Arctic. Geosphere (2023) 19 (6): 1640-1666. <a href="https://doi.org/10.1130/GES02606.1">https://doi.org/10.1130/GES02606.1</a></em>
Svalbox-DOM_2023-0034
<p><strong>Model description: </strong><br>Digital outcrop model of Litle Bjørndalen, in Isfjorden, Nordenskiöld Land, Svabard archipelago.<br><br><strong>Data availability:</strong><br>All uploaded archives are to be extracted to the same directory for a functional working environment, i.e., at the very least consisting of a project folder with the data and metashape subdirectories. The included processing report specifies the processing parameters that were used as input for the processing software (Agisoft Metashape, v2.1.0.17532).<br>Exported model data use CRS epsg:32633.<br><br><strong>Show and visualise on <a href="http://svalbox.no/map">Svalbox.no</a>:</strong><br>Through Svalbox we aim to take geoscientific research and education to the next level – with the simple motto of placing all key information and data sets in their correct spatial position. We bring modern technology, in particular cost-effective digital outcrops, to complement more than 200 years of geoscientific research on Svalbard. Finally, Svalbox provides a sustainable platform for sharing results, workflows and teaching material with the wider geoscientific community.<br><br>For more information, contact the Svalbox team at svalbox[at]gmail.com.<br><br><em>This data set forms part of the Svalbox Digital Model Database.</em><br><br>Please cite the database alongside this resource:<br><br><em>Betlem, Peter and Rodes, Nil and Birchall, Thomas and Dahlin, Anders and Smyrak-Sikora, Aleksandra and Senger, Kim. The Svalbox Digital Model Database: A Geoscientific Window into the High Arctic. Geosphere (2023) 19 (6): 1640-1666. <a href="https://doi.org/10.1130/GES02606.1">https://doi.org/10.1130/GES02606.1</a></em></p>
Svalbox-DOM_2022-0031
<b>Model description: </b><br>Digital outcrop model of Sfinksen, Gizehfjellet and Luxorfjellet, in north Ragnardalen, Dickson Land, Svalbard archipelago.<br><br><b>Data availability:</b><br>All uploaded archives are to be extracted to the same directory for a functional working environment, i.e., at the very least consisting of a project folder with the data and metashape subdirectories. The included processing report specifies the processing parameters that were used as input for the processing software (Agisoft Metashape, v1.7.2.12040).<br>Exported model data use CRS epsg:32633.<br><br><b>Show and visualise on <a href="http://svalbox.no/map">Svalbox.no</a>:</b><br>Through Svalbox we aim to take geoscientific research and education to the next level – with the simple motto of placing all key information and data sets in their correct spatial position. We bring modern technology, in particular cost-effective digital outcrops, to complement more than 200 years of geoscientific research on Svalbard. Finally, Svalbox provides a sustainable platform for sharing results, workflows and teaching material with the wider geoscientific community.<br><br>For more information, contact the Svalbox team at svalbox[at]gmail.com.<br><br><em>This data set forms part of the Svalbox Digital Model Database.</em><br><br>Please cite the database alongside this resource:<br><br><em>Betlem, Peter and Rodes, Nil and Birchall, Thomas and Dahlin, Anders and Smyrak-Sikora, Aleksandra and Senger, Kim. The Svalbox Digital Model Database: A Geoscientific Window into the High Arctic. Geosphere (2023) 19 (6): 1640-1666. <a href="https://doi.org/10.1130/GES02606.1">https://doi.org/10.1130/GES02606.1</a></em>
Svalbox-DOM_2022-0035
<b>Model description: </b><br>Digital outcrop model of Reuterskioldfjellet, west Bertilbreen, inner Billefjorden, Svalbard archipelago.<br><br><b>Data availability:</b><br>All uploaded archives are to be extracted to the same directory for a functional working environment, i.e., at the very least consisting of a project folder with the data and metashape subdirectories. The included processing report specifies the processing parameters that were used as input for the processing software (Agisoft Metashape, v1.7.2.12040).<br>Exported model data use CRS epsg:32633.<br><br><b>Show and visualise on <a href="http://svalbox.no/map">Svalbox.no</a>:</b><br>Through Svalbox we aim to take geoscientific research and education to the next level – with the simple motto of placing all key information and data sets in their correct spatial position. We bring modern technology, in particular cost-effective digital outcrops, to complement more than 200 years of geoscientific research on Svalbard. Finally, Svalbox provides a sustainable platform for sharing results, workflows and teaching material with the wider geoscientific community.<br><br>For more information, contact the Svalbox team at svalbox[at]gmail.com.<br><br><em>This data set forms part of the Svalbox Digital Model Database.</em><br><br>Please cite the database alongside this resource:<br><br><em>Betlem, Peter and Rodes, Nil and Birchall, Thomas and Dahlin, Anders and Smyrak-Sikora, Aleksandra and Senger, Kim. The Svalbox Digital Model Database: A Geoscientific Window into the High Arctic. Geosphere (2023) 19 (6): 1640-1666. <a href="https://doi.org/10.1130/GES02606.1">https://doi.org/10.1130/GES02606.1</a></em>
Svalbox-DOM_2022-0034
<b>Model description: </b><br>Digital outcrop model of Ingebrigtsenbukta, south coast of Van Keulenfjorden, in Wedel Jarlsberg Land, Svalbard archipelago.<br><br><b>Data availability:</b><br>All uploaded archives are to be extracted to the same directory for a functional working environment, i.e., at the very least consisting of a project folder with the data and metashape subdirectories. The included processing report specifies the processing parameters that were used as input for the processing software (Agisoft Metashape, v2.0.2.16334).<br>Exported model data use CRS epsg:32633.<br><br><b>Show and visualise on <a href="http://svalbox.no/map">Svalbox.no</a>:</b><br>Through Svalbox we aim to take geoscientific research and education to the next level – with the simple motto of placing all key information and data sets in their correct spatial position. We bring modern technology, in particular cost-effective digital outcrops, to complement more than 200 years of geoscientific research on Svalbard. Finally, Svalbox provides a sustainable platform for sharing results, workflows and teaching material with the wider geoscientific community.<br><br>For more information, contact the Svalbox team at svalbox[at]gmail.com.<br><br><em>This data set forms part of the Svalbox Digital Model Database.</em><br><br>Please cite the database alongside this resource:<br><br><em>Betlem, Peter and Rodes, Nil and Birchall, Thomas and Dahlin, Anders and Smyrak-Sikora, Aleksandra and Senger, Kim. The Svalbox Digital Model Database: A Geoscientific Window into the High Arctic. Geosphere (2023) 19 (6): 1640-1666. <a href="https://doi.org/10.1130/GES02606.1">https://doi.org/10.1130/GES02606.1</a></em>
Svalbox-DOM_2022-0028
<b>Model description: </b><br>Digital model of Skottehytta cabin, in Petuniabukta, inner Billefjorden, Svalbard archipelago.<br><br><b>Data availability:</b><br>All uploaded archives are to be extracted to the same directory for a functional working environment, i.e., at the very least consisting of a project folder with the data and metashape subdirectories. The included processing report specifies the processing parameters that were used as input for the processing software (Agisoft Metashape, v2.0.2.16334).<br>Exported model data use CRS epsg:32633.<br><br><b>Show and visualise on <a href="http://svalbox.no/map">Svalbox.no</a>:</b><br>Through Svalbox we aim to take geoscientific research and education to the next level – with the simple motto of placing all key information and data sets in their correct spatial position. We bring modern technology, in particular cost-effective digital outcrops, to complement more than 200 years of geoscientific research on Svalbard. Finally, Svalbox provides a sustainable platform for sharing results, workflows and teaching material with the wider geoscientific community.<br><br>For more information, contact the Svalbox team at svalbox[at]gmail.com.<br><br><em>This data set forms part of the Svalbox Digital Model Database.</em><br><br>Please cite the database alongside this resource:<br><br><em>Betlem, Peter and Rodes, Nil and Birchall, Thomas and Dahlin, Anders and Smyrak-Sikora, Aleksandra and Senger, Kim. The Svalbox Digital Model Database: A Geoscientific Window into the High Arctic. Geosphere (2023) 19 (6): 1640-1666. <a href="https://doi.org/10.1130/GES02606.1">https://doi.org/10.1130/GES02606.1</a></em>
Svalbox-DOM_2022-0030
<b>Model description: </b><br>Digital outcrop model of the lower part of Marmierfjellet, Belvedere and Kapp Belvedere, in west Flowerdalen, Nordenskiöld Land, Svalbard archipelago.<br><br><b>Data availability:</b><br>All uploaded archives are to be extracted to the same directory for a functional working environment, i.e., at the very least consisting of a project folder with the data and metashape subdirectories. The included processing report specifies the processing parameters that were used as input for the processing software (Agisoft Metashape, v1.7.2.12040).<br>Exported model data use CRS epsg:32633.<br><br><b>Show and visualise on <a href="http://svalbox.no/map">Svalbox.no</a>:</b><br>Through Svalbox we aim to take geoscientific research and education to the next level – with the simple motto of placing all key information and data sets in their correct spatial position. We bring modern technology, in particular cost-effective digital outcrops, to complement more than 200 years of geoscientific research on Svalbard. Finally, Svalbox provides a sustainable platform for sharing results, workflows and teaching material with the wider geoscientific community.<br><br>For more information, contact the Svalbox team at svalbox[at]gmail.com.<br><br><em>This data set forms part of the Svalbox Digital Model Database.</em><br><br>Please cite the database alongside this resource:<br><br><em>Betlem, Peter and Rodes, Nil and Birchall, Thomas and Dahlin, Anders and Smyrak-Sikora, Aleksandra and Senger, Kim. The Svalbox Digital Model Database: A Geoscientific Window into the High Arctic. Geosphere (2023) 19 (6): 1640-1666. <a href="https://doi.org/10.1130/GES02606.1">https://doi.org/10.1130/GES02606.1</a></em>
Svalbox-DOM_2022-0027
<b>Model description: </b><br>Digital outcrop model of the northern and eastern faces of Botneheia mountain, in south Sassenfjorden, Svalbard archipelago.<br><br><b>Data availability:</b><br>All uploaded archives are to be extracted to the same directory for a functional working environment, i.e., at the very least consisting of a project folder with the data and metashape subdirectories. The included processing report specifies the processing parameters that were used as input for the processing software (Agisoft Metashape, v1.8.4.14856).<br>Exported model data use CRS epsg:32633.<br><br><b>Show and visualise on <a href="http://svalbox.no/map">Svalbox.no</a>:</b><br>Through Svalbox we aim to take geoscientific research and education to the next level – with the simple motto of placing all key information and data sets in their correct spatial position. We bring modern technology, in particular cost-effective digital outcrops, to complement more than 200 years of geoscientific research on Svalbard. Finally, Svalbox provides a sustainable platform for sharing results, workflows and teaching material with the wider geoscientific community.<br><br>For more information, contact the Svalbox team at svalbox[at]gmail.com.<br><br><em>This data set forms part of the Svalbox Digital Model Database.</em><br><br>Please cite the database alongside this resource:<br><br><em>Betlem, Peter and Rodes, Nil and Birchall, Thomas and Dahlin, Anders and Smyrak-Sikora, Aleksandra and Senger, Kim. The Svalbox Digital Model Database: A Geoscientific Window into the High Arctic. Geosphere (2023) 19 (6): 1640-1666. <a href="https://doi.org/10.1130/GES02606.1">https://doi.org/10.1130/GES02606.1</a></em>
Svalbox-DOM_2021-0057
<b>Model description: </b><br>Digital outcrop model of eastern face of Hornsundtind, inner Hornsund, Sørkapp Land, Svalbard archipelago.<br><br><b>Data availability:</b><br>All uploaded archives are to be extracted to the same directory for a functional working environment, i.e., at the very least consisting of a project folder with the data and metashape subdirectories. The included processing report specifies the processing parameters that were used as input for the processing software (Agisoft Metashape, v2.1.0.17532).<br>Exported model data use CRS epsg:32633.<br><br><b>Show and visualise on <a href="http://svalbox.no/map">Svalbox.no</a>:</b><br>Through Svalbox we aim to take geoscientific research and education to the next level – with the simple motto of placing all key information and data sets in their correct spatial position. We bring modern technology, in particular cost-effective digital outcrops, to complement more than 200 years of geoscientific research on Svalbard. Finally, Svalbox provides a sustainable platform for sharing results, workflows and teaching material with the wider geoscientific community.<br><br>For more information, contact the Svalbox team at svalbox[at]gmail.com.<br><br><em>This data set forms part of the Svalbox Digital Model Database.</em><br><br>Please cite the database alongside this resource:<br><br><em>Betlem, Peter and Rodes, Nil and Birchall, Thomas and Dahlin, Anders and Smyrak-Sikora, Aleksandra and Senger, Kim. The Svalbox Digital Model Database: A Geoscientific Window into the High Arctic. Geosphere (2023) 19 (6): 1640-1666. <a href="https://doi.org/10.1130/GES02606.1">https://doi.org/10.1130/GES02606.1</a></em>
Svalbox-DOM_2022-0033
<b>Model description: </b><br>Digital outcrop model of Larsbreen, south of Longyearbyen, in Nordenskiöld Land, Svalbard archipelago.<br><br><b>Data availability:</b><br>All uploaded archives are to be extracted to the same directory for a functional working environment, i.e., at the very least consisting of a project folder with the data and metashape subdirectories. The included processing report specifies the processing parameters that were used as input for the processing software (Agisoft Metashape, v2.0.2.16334).<br>Exported model data use CRS epsg:32633.<br><br><b>Show and visualise on <a href="http://svalbox.no/map">Svalbox.no</a>:</b><br>Through Svalbox we aim to take geoscientific research and education to the next level – with the simple motto of placing all key information and data sets in their correct spatial position. We bring modern technology, in particular cost-effective digital outcrops, to complement more than 200 years of geoscientific research on Svalbard. Finally, Svalbox provides a sustainable platform for sharing results, workflows and teaching material with the wider geoscientific community.<br><br>For more information, contact the Svalbox team at svalbox[at]gmail.com.<br><br><em>This data set forms part of the Svalbox Digital Model Database.</em><br><br>Please cite the database alongside this resource:<br><br><em>Betlem, Peter and Rodes, Nil and Birchall, Thomas and Dahlin, Anders and Smyrak-Sikora, Aleksandra and Senger, Kim. The Svalbox Digital Model Database: A Geoscientific Window into the High Arctic. Geosphere (2023) 19 (6): 1640-1666. <a href="https://doi.org/10.1130/GES02606.1">https://doi.org/10.1130/GES02606.1</a></em>
Svalbox-DOM_2022-0036
<b>Model description: </b><br>Digital outcrop model of Ymerdalen, in Bjørnoya, Svabard archipelago.<br><br><b>Data availability:</b><br>All uploaded archives are to be extracted to the same directory for a functional working environment, i.e., at the very least consisting of a project folder with the data and metashape subdirectories. The included processing report specifies the processing parameters that were used as input for the processing software (Agisoft Metashape, v2.1.0.17532).<br>Exported model data use CRS epsg:32633.<br><br><b>Show and visualise on <a href="http://svalbox.no/map">Svalbox.no</a>:</b><br>Through Svalbox we aim to take geoscientific research and education to the next level – with the simple motto of placing all key information and data sets in their correct spatial position. We bring modern technology, in particular cost-effective digital outcrops, to complement more than 200 years of geoscientific research on Svalbard. Finally, Svalbox provides a sustainable platform for sharing results, workflows and teaching material with the wider geoscientific community.<br><br>For more information, contact the Svalbox team at svalbox[at]gmail.com.<br><br><em>This data set forms part of the Svalbox Digital Model Database.</em><br><br>Please cite the database alongside this resource:<br><br><em>Betlem, Peter and Rodes, Nil and Birchall, Thomas and Dahlin, Anders and Smyrak-Sikora, Aleksandra and Senger, Kim. The Svalbox Digital Model Database: A Geoscientific Window into the High Arctic. Geosphere (2023) 19 (6): 1640-1666. <a href="https://doi.org/10.1130/GES02606.1">https://doi.org/10.1130/GES02606.1</a></em>
Svalbox-DOM_2022-0037
<b>Model description: </b><br>Digital outcrop model of Hambergfjellet, Skrøslingen, Sylen, Breiskallen, and Hornvika in Bjørnoya, Svabard archipelago.<br><br><b>Data availability:</b><br>All uploaded archives are to be extracted to the same directory for a functional working environment, i.e., at the very least consisting of a project folder with the data and metashape subdirectories. The included processing report specifies the processing parameters that were used as input for the processing software (Agisoft Metashape, v2.1.0.17532).<br>Exported model data use CRS epsg:32633.<br><br><b>Show and visualise on <a href="http://svalbox.no/map">Svalbox.no</a>:</b><br>Through Svalbox we aim to take geoscientific research and education to the next level – with the simple motto of placing all key information and data sets in their correct spatial position. We bring modern technology, in particular cost-effective digital outcrops, to complement more than 200 years of geoscientific research on Svalbard. Finally, Svalbox provides a sustainable platform for sharing results, workflows and teaching material with the wider geoscientific community.<br><br>For more information, contact the Svalbox team at svalbox[at]gmail.com.<br><br><em>This data set forms part of the Svalbox Digital Model Database.</em><br><br>Please cite the database alongside this resource:<br><br><em>Betlem, Peter and Rodes, Nil and Birchall, Thomas and Dahlin, Anders and Smyrak-Sikora, Aleksandra and Senger, Kim. The Svalbox Digital Model Database: A Geoscientific Window into the High Arctic. Geosphere (2023) 19 (6): 1640-1666. <a href="https://doi.org/10.1130/GES02606.1">https://doi.org/10.1130/GES02606.1</a></em>
Svalbox-DOM_2022-0038
<b>Model description: </b><br>Digital outcrop model of Flyplassveien outcrop, in Spitsbergen, Svabard archipelago.<br><br><b>Data availability:</b><br>All uploaded archives are to be extracted to the same directory for a functional working environment, i.e., at the very least consisting of a project folder with the data and metashape subdirectories. The included processing report specifies the processing parameters that were used as input for the processing software (Agisoft Metashape, v2.1.0.17532).<br>Exported model data use CRS epsg:32633.<br><br><b>Show and visualise on <a href="http://svalbox.no/map">Svalbox.no</a>:</b><br>Through Svalbox we aim to take geoscientific research and education to the next level – with the simple motto of placing all key information and data sets in their correct spatial position. We bring modern technology, in particular cost-effective digital outcrops, to complement more than 200 years of geoscientific research on Svalbard. Finally, Svalbox provides a sustainable platform for sharing results, workflows and teaching material with the wider geoscientific community.<br><br>For more information, contact the Svalbox team at svalbox[at]gmail.com.<br><br><em>This data set forms part of the Svalbox Digital Model Database.</em><br><br>Please cite the database alongside this resource:<br><br><em>Betlem, Peter and Rodes, Nil and Birchall, Thomas and Dahlin, Anders and Smyrak-Sikora, Aleksandra and Senger, Kim. The Svalbox Digital Model Database: A Geoscientific Window into the High Arctic. Geosphere (2023) 19 (6): 1640-1666. <a href="https://doi.org/10.1130/GES02606.1">https://doi.org/10.1130/GES02606.1</a></em>
Svalbox-DOM_2022-0039
<p><strong>Model description: </strong></p> <div> <div>Digital outcrop model of Fuglefjelllet, Stappen, Kapp Bull, and kapp Kolthoff in Bjørnoya, Svabard archipelago.</div> </div> <p><strong>Data availability:</strong><br>All uploaded archives are to be extracted to the same directory for a functional working environment, i.e., at the very least consisting of a project folder with the data and metashape subdirectories. The included processing report specifies the processing parameters that were used as input for the processing software (Agisoft Metashape, v2.1.0.17532).<br>Exported model data use CRS epsg:32633.<br><br><strong>Show and visualise on <a href="http://svalbox.no/map">Svalbox.no</a>:</strong><br>Through Svalbox we aim to take geoscientific research and education to the next level – with the simple motto of placing all key information and data sets in their correct spatial position. We bring modern technology, in particular cost-effective digital outcrops, to complement more than 200 years of geoscientific research on Svalbard. Finally, Svalbox provides a sustainable platform for sharing results, workflows and teaching material with the wider geoscientific community.<br><br>For more information, contact the Svalbox team at svalbox[at]gmail.com.<br><br><em>This data set forms part of the Svalbox Digital Model Database.</em><br><br>Please cite the database alongside this resource:<br><br><em>Betlem, Peter and Rodes, Nil and Birchall, Thomas and Dahlin, Anders and Smyrak-Sikora, Aleksandra and Senger, Kim. The Svalbox Digital Model Database: A Geoscientific Window into the High Arctic. Geosphere (2023) 19 (6): 1640-1666. <a href="https://doi.org/10.1130/GES02606.1">https://doi.org/10.1130/GES02606.1</a></em></p>
Svalbox-DOM_2024-0019
<b>Model description: </b><br>Digital outcrop model of the varden at Sarkofagen in Nordenskiöld Land, Svalbard archipelago.<br><br><b>Data availability:</b><br>All uploaded archives are to be extracted to the same directory for a functional working environment, i.e., at the very least consisting of a project folder with the data and metashape subdirectories. The included processing report specifies the processing parameters that were used as input for the processing software (Agisoft Metashape, v2.0.2.16334).<br>Exported model data use CRS epsg:32633.<br><br><b>Show and visualise on <a href="http://svalbox.no/map">Svalbox.no</a>:</b><br>Through Svalbox we aim to take geoscientific research and education to the next level – with the simple motto of placing all key information and data sets in their correct spatial position. We bring modern technology, in particular cost-effective digital outcrops, to complement more than 200 years of geoscientific research on Svalbard. Finally, Svalbox provides a sustainable platform for sharing results, workflows and teaching material with the wider geoscientific community.<br><br>For more information, contact the Svalbox team at svalbox[at]gmail.com.<br><br><em>This data set forms part of the Svalbox Digital Model Database.</em><br><br>Please cite the database alongside this resource:<br><br><em>Betlem, Peter and Rodes, Nil and Birchall, Thomas and Dahlin, Anders and Smyrak-Sikora, Aleksandra and Senger, Kim. The Svalbox Digital Model Database: A Geoscientific Window into the High Arctic. Geosphere (2023) 19 (6): 1640-1666. <a href="https://doi.org/10.1130/GES02606.1">https://doi.org/10.1130/GES02606.1</a></em>
Svalbox-DOM_2024-0018
<b>Model description: </b><br>Digital outcrop model of Longyearbreen in Nordenskiöld Land, Svalbard archipelago.<br><br><b>Data availability:</b><br>All uploaded archives are to be extracted to the same directory for a functional working environment, i.e., at the very least consisting of a project folder with the data and metashape subdirectories. The included processing report specifies the processing parameters that were used as input for the processing software (Agisoft Metashape, v2.0.2.16334).<br>Exported model data use CRS epsg:32633.<br><br><b>Show and visualise on <a href="http://svalbox.no/map">Svalbox.no</a>:</b><br>Through Svalbox we aim to take geoscientific research and education to the next level – with the simple motto of placing all key information and data sets in their correct spatial position. We bring modern technology, in particular cost-effective digital outcrops, to complement more than 200 years of geoscientific research on Svalbard. Finally, Svalbox provides a sustainable platform for sharing results, workflows and teaching material with the wider geoscientific community.<br><br>For more information, contact the Svalbox team at svalbox[at]gmail.com.<br><br><em>This data set forms part of the Svalbox Digital Model Database.</em><br><br>Please cite the database alongside this resource:<br><br><em>Betlem, Peter and Rodes, Nil and Birchall, Thomas and Dahlin, Anders and Smyrak-Sikora, Aleksandra and Senger, Kim. The Svalbox Digital Model Database: A Geoscientific Window into the High Arctic. Geosphere (2023) 19 (6): 1640-1666. <a href="https://doi.org/10.1130/GES02606.1">https://doi.org/10.1130/GES02606.1</a></em>
Svalbox-DOM_2021-0056
<p><strong>Model description: </strong><br> The Konusdalen outcrop provides an excellent exposure of the reservoir sequences targeted by the Longyearbyen CO2 Lab.The upper part of De Geerdalen Formation is visible along with the Slottet bed and first two Sequences of the Wilhelmhøya Subgroup.The entire section is affected by through-going faults (ENE) and is heavily fractured.<br> <br> <strong>Data availability:</strong><br> All uploaded archives are to be extracted to the same directory for a functional working environment, i.e., at the very least consisting of a project folder with the data and metashape subdirectories. The included processing report specifies the processing parameters that were used as input for the processing software (Agisoft Metashape, v2.0.1.15925).<br> Georeferencing data use CRS epsg:32633.Exported model data use CRS epsg:32633.<br> <br> <strong>Show and visualise on <a href="http://svalbox.no/?page_id=0">Svalbox.no</a>:</strong><br> Through Svalbox we aim to take geoscientific research and education to the next level – with the simple motto of placing all key information and data sets in their correct spatial position. We bring modern technology, in particular cost-effective digital outcrops, to complement more than 200 years of geoscientific research on Svalbard. Finally, Svalbox provides a sustainable platform for sharing results, workflows and teaching material with the wider geoscientific community.<br> <br> For more information, contact the Svalbox team at svalbox[at]gmail.com.</p>
Linked collectors and determiners for: SPSF - Herbário Dom Bento José Pickel.
Natural history specimen data linked to collectors and determiners held within, "SPSF - Herbário Dom Bento José Pickel". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/16ed67e5-fd70-4fd4-85c3-70ea2da627fe">https://bionomia.net/dataset/16ed67e5-fd70-4fd4-85c3-70ea2da627fe</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/16ed67e5-fd70-4fd4-85c3-70ea2da627fe">https://gbif.org/dataset/16ed67e5-fd70-4fd4-85c3-70ea2da627fe</a>. Formatted as a Frictionless Data package.
Svalbox-DOM_2021-0058
<b>Model description: </b><br>Overview digital outcrop model of Dicksonland igneous intrusions in Spitsbergen, Svalbard archipelago.<br><br><b>Data availability:</b><br>All uploaded archives are to be extracted to the same directory for a functional working environment, i.e., at the very least consisting of a project folder with the data and metashape subdirectories. The included processing report specifies the processing parameters that were used as input for the processing software (Agisoft Metashape, v2.1.0.17532).<br>Exported model data use CRS epsg:32633.<br><br><b>Show and visualise on <a href="http://svalbox.no/map">Svalbox.no</a>:</b><br>Through Svalbox we aim to take geoscientific research and education to the next level – with the simple motto of placing all key information and data sets in their correct spatial position. We bring modern technology, in particular cost-effective digital outcrops, to complement more than 200 years of geoscientific research on Svalbard. Finally, Svalbox provides a sustainable platform for sharing results, workflows and teaching material with the wider geoscientific community.<br><br>For more information, contact the Svalbox team at svalbox[at]gmail.com.<br><br><em>This data set forms part of the Svalbox Digital Model Database.</em><br><br>Please cite the database alongside this resource:<br><br><em>Betlem, Peter and Rodes, Nil and Birchall, Thomas and Dahlin, Anders and Smyrak-Sikora, Aleksandra and Senger, Kim. The Svalbox Digital Model Database: A Geoscientific Window into the High Arctic. Geosphere (2023) 19 (6): 1640-1666. <a href="https://doi.org/10.1130/GES02606.1">https://doi.org/10.1130/GES02606.1</a></em>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
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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.