Find research datasets worth reusing

opencc-by-nc-4.0Oct 2024View details →

Svalbox-DOM_2024-0023

Model description: Digital outcrop model of Bogstranda in Sørkapp Land, Svalbard archipelago. Data availability: 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). Exported model data use CRS epsg:32633. Show and visualise on <a href="http://svalbox.no/map">Svalbox.no</a>: 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. For more information, contact the Svalbox team at svalbox[at]gmail.com. This data set forms part of the Svalbox Digital Model Database. Please cite the database alongside this resource: 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>

opencc-by-nc-4.0Dec 2021View details →

Svalbox-DOM_2021-0054

Model description: Digital outcrop model of Adriabukta, Southern Spitsbergen. The profile shows an overview of the outcrops on the Northern shore of Inner Hornsund Fjord in Adriabukta. To the left on the model are red and yellow Devonian sandstone transitioning up into Late Devonian black Shales of the Adriabukta Fm. Exposed in the middle of the shales is a basement lense composed of whitish basement rocks. Above the shales, the succession shows (mid-) late Carboniferous alluvial red-bed deposits of the Hyrnefjellet Formation (Fm.) which grade upwards into interbedded shallow-marine sandy deposits. Overlying the Hyrnefjellet is the Parallic to shallow marine sandstones and carbonates of the late Carboniferous to early Permian Treskelodden Fm. which is completely carbonate dominated towards its top. Overlying the Treskelodden Fm. is inner shelf chert deposits of the late Permian Kapp Starostin Fm. The boundary between the Treskelodden and Kapp Starostin Fm's records a major unconformity. Both the Hyrnefjellet and Treskelodden Fm's were affected by syn-sedimentary faulting in Burgerbukta area evidenced by the large amount of conglomerate deposits and small growth faults. The section is in general heavily faulted and folded as evidenced by the rotating and different tilt of the layers, this is due to the Tertiary Fold and Thrust belt. Data availability: 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). Georeferencing data use CRS epsg:4326.Exported model data use CRS epsg:32633. Show and visualise on <a href="http://svalbox.no/?page_id=4205">Svalbox.no</a>: 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. For more information, contact the Svalbox team at svalbox[at]gmail.com.

opencc-by-nc-4.0Dec 2021View details →

Svalbox-DOM_2020-0041

Model description: Digital outcrop model of the Creek 4 profile on the middle of Treskelen peninsula in Inner Hornsund, the stratotype section of the Carboniferous - Early Permian Treskelodden formation, which is composed of conglomerates and sandstones at its base and transitioning up into interbedded calcareous sandstones and carbonates in the maiddle part, in the upper part of the formation and towards the North the Formation is dominated by fossiliferous Carbonates. In addition to the Treskelodden fm. the model also shows the underlying red-beds composed of mainly alluvial fans and shales of the Carboniferous Hyrnefjellet fm. Overlying the Treskelodden fm. and separated by a hiatus and angular? unconformity is approximately 5-7 m of the Late Permian Kapp Starostin fm. which is composed mainly of siliceous cherts and some minor shales. Above the Kapp Starostin fm. is Early Triassic shales. Data availability: 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, v1.7.1 11797). Georeferencing data use CRS epsg:4326.Exported model data use CRS epsg:32633. Show and visualise on <a href="http://svalbox.no/?page_id=4207">Svalbox.no</a>: 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. For more information, contact the Svalbox team at svalbox[at]gmail.com.

opencc-by-nc-4.0Nov 2022View details →

Svalbox-DOM_2021-0055

Model description: Digital model of the ice cave in Passfjellbreen glacier, in Nordenskiöld Land. Data availability: 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). Georeferencing data use CRS epsg:4326.Exported model data use CRS epsg:32633. Show and visualise on <a href="http://svalbox.no/?page_id=4213">Svalbox.no</a>: 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. For more information, contact the Svalbox team at svalbox[at]gmail.com.

opencc-by-nc-4.0Dec 2022View details →

Svalbox-DOM_2022-0001

Model description: Digital outcrop model of Aldegondaberget in Southern Bellsund, Wedel Jarlsberg Land. The model features outcrops from the Pre-Devonian basement Deilegga Group,Carboniferous to Permian Treskelodden Formation, Permian Gipshuken and Kapp Starostin Formations and the Triassic Vardebukta, Tvillingodden and BravaisbergetFormations and also features a doleritic sill complex most likely from the Cretaceous Diabasodden Suite.Within the Permian Giphuken and Kapp Starostin formations and the Triassic shaly formations various folds can be observed due to influence from the creationof the West Spitsbergen Orogeny and West Spitsbergen fold and Thrust Belt. Data availability: 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). Georeferencing data use CRS epsg:4326.Exported model data use CRS epsg:4326. Show and visualise on <a href="http://svalbox.no/map">Svalbox.no</a>: 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. For more information, contact the Svalbox team at svalbox[at]gmail.com. This data set forms part of the Svalbox Digital Model Database. Please cite the database alongside this resource: Betlem, Peter and Rodes, Nil and Birchall, Thomas and Dahlin, Anders and Smyrak-Sikora, Aleksandra and Senger, Kim. (2023). The Svalbox Digital Model Database: A Geoscientific Window into the High Arctic. Geosphere. https://doi.org/10.1130/GES02606.1

opencc-by-nc-4.0Aug 2023View details →

Svalbox-DOM_2022-0002

Model description: Digital outcrop model of Berzeliuseggene in S. Bellsund, Svalbard. The mountainside extrudes up inbetween Blumckebreane and shows outcrops from the Carboniferous to Permian and earliest Triassic. A notable dark layer at the base of the mountainside is a black doleritic sill which is most likely of Cretaceous age. Data availability: 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). Exported model data use CRS epsg:4326. Show and visualise on <a href="http://svalbox.no/map">Svalbox.no</a>: 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. For more information, contact the Svalbox team at svalbox[at]gmail.com. This data set forms part of the Svalbox Digital Model Database. Please cite the database alongside this resource: Betlem, Peter and Rodes, Nil and Birchall, Thomas and Dahlin, Anders and Smyrak-Sikora, Aleksandra and Senger, Kim. (2023). The Svalbox Digital Model Database: A Geoscientific Window into the High Arctic. Geosphere. https://doi.org/10.1130/GES02606.1

opencc-by-nc-4.0Aug 2023View details →

Svalbox-DOM_2020-0042

Model description: Digital outcrop model the Treskelen Peninsula in inner Hornsund, S Spitsbergen. The model shows the foot of Hyrnefjellet to the left (North) with the famous Hyrnefjellet anticline. The anticline can be traced southwards by the bending of the outcrops along the beach. The model shows middle Carboniferous to Early Triassic outcrops of the Hyrnefjellet, Treskelodden, Kapp Starostin and Vardbukta Formations. The Carboniferous to Early Permian Hyrnefjellet and Treskelen FM's where deposited in a rift basin called the Inner Hornsund Basin and record terrestrial to paralic-shallow marine deposition of a mixed siliciclastic - carbonate sedimentary section. The Kapp Starostion and Vardebukta FM's record deposition in a deeper marine/platform environment divided by the Permian - Triassic boundary which records the largest mass extinction in Earths history. Data availability: 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, v1.6.5.11249). Exported model data use CRS epsg:4326. Show and visualise on <a href="http://svalbox.no/?page_id=0">Svalbox.no</a>: 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. For more information, contact the Svalbox team at svalbox[at]gmail.com.

Figura 9 in IMPACTOS AMBIENTAIS DA SILVICULTURA EM DOM ELISEU (PA)

Figura 9. Adultos de C. ferrugínea em ponteiro de eucalipto em Dom Eliseu, PA. Fonte: Lunz; Azevedo (2011).

Figura 4 in IMPACTOS AMBIENTAIS DA SILVICULTURA EM DOM ELISEU (PA)

Figura 4. Árvores de Paricá atacadas e tomabdas por. Q.gigas Fonte: LUNZ, M. A. Dom Eliseu (PA). 2012.

Figura 7 in IMPACTOS AMBIENTAIS DA SILVICULTURA EM DOM ELISEU (PA)

Figura 7. Estufa com sistema de irrigação via gotejamento em Dom Eliseu (PA). Fonte: Maia, K. S. 2015.

Figura 10 in IMPACTOS AMBIENTAIS DA SILVICULTURA EM DOM ELISEU (PA)

Figura 10. Danos em folhas de eucalipto causados por C. ferrugínea em Dom Eliseu, PA. Fonte: Lunz; Azevedo (2011).

Figura 3 in IMPACTOS AMBIENTAIS DA SILVICULTURA EM DOM ELISEU (PA)

Figura 3. Exúvias de Quesadas gigas na base de árvore do Paricá. Fonte: LUNZ, A. M. Dom Eliseu (PA). 2012.

Figura 2 in IMPACTOS AMBIENTAIS DA SILVICULTURA EM DOM ELISEU (PA)

Figura 2. Mudas de Paricá no viveiro no município de Dom Eliseu (PA) Fonte: CONCREM, 2011. Disponível em:

opencc-by-nc-4.0May 2024View details →

Svalbox-DOM_2024-0015

Model description: Glacier front of Mittag-Lefflerbreen in Wijdefjorden. Data availability: 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). Exported model data use CRS epsg:32633. Show and visualise on <a href="http://svalbox.no/map">Svalbox.no</a>: 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. For more information, contact the Svalbox team at svalbox[at]gmail.com. This data set forms part of the Svalbox Digital Model Database. Please cite the database alongside this resource: 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>

dryad40/100

Data for: Dissolved organic matter (DOM) offsets the detrimental effects of climate change in the nitrogen fixing cyanobacterium Crocosphaera

Open the record for dataset details and reuse information.

publicFeb 2024View details →

edi40/100

Ambient nutrients, carbon, and DOM absorbance metrics along with experimental dissolved oxygen decay rates for 5-day incubations of water within the Waccamaw River Watershed, SC, Summer 2020.

Dissolved oxygen (DO) impairment within coastal waters is widespread. Rising temperatures may exacerbate low DO levels by enhancing organic matter (OM) degradation. Here, the temperature sensitivity of OM degradation was investigated as DO decay rates determined during standard five-day biochemical oxygen demand (BOD) measurements conducted under different incubation temperatures. Sampling was conducted in the Waccamaw River watershed, South Carolina, a blackwater river with extensive forested wetland that also receives drainage from stormwater detention ponds associated with coastal development, thus providing contrasting sources of OM composition. Temperature sensitivities were measured as Q10 temperature coefficients, which define how DO decay rates change with 10 degrees of warming. The average Q10 value for the wetland sites (2.14 ± 0.41) was significantly greater (p = 0.004) than those measured in either the river (1.49 ± 0.36) or stormwater ponds (1.41 ± 0.21). Furthermore, using Intergovernmental Panel on Climate Change intermediate-to-very high temperature estimates for 2100 of +2.7 – 4.4 °C, average predicted increases in DO decay rates for wetlands (~22-39 %) are more than double the River (~11-18 %) and stormwater pond rates (~9-16 %). Our findings for inland, coastal waters agree with previous results for soils, suggesting that temperature sensitivities are variable across sites and increase with more complex, lower quality OM. Future modeling scenarios of DO utilization must therefore consider the influence of OM heterogeneity and the temperature sensitivity response of OM degradation across sources and region to better predict how climate change may impact oxygen impairment in aquatic ecosystems.

openCC (other)Dec 2022View details →

opencc-byJul 2021View details →

Teatralnaya Dom 1

Театральная дом 1. Большой в июле прекрасен. И не только в июле) Architecture, Cultural Heritage & History Architecture, Cultural Heritage & History Architecture, Cultural Heritage & History XXXIXXX 3130 Source: Objaverse 1.0 / Sketchfab

opencc-byAug 2022View details →

Forte_Dom_Pedro_II

Forte Dom Pedro II, Caçapava do Sul, RS. Geoparque Caçapava Aspirante UNESCO Source: Objaverse 1.0 / Sketchfab

opencc-by-4.0Nov 2023View details →

Algoa Bay 2018/2019 LC-MS/MS DOM study

This dataset contains the raw and processed data for a nontargeted tandem mass spectrometry study of dissolved organic matter (DOM) in surface water collected from the Algoa Bay system in the Eastern Cape of South Africa in 2018/2019