cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2c09nc
title: CCDC 2175042: Experimental Crystal Structure Determination

description: Related Article: Aston C. Pearcy, Lynn S. Lisboa, Dan Preston, Nick B. Page, Tristan Lawrence, L. James Wright, Christian G. Hartinger, James D. Crowley|2023|Chemical Science|14|8615|doi:10.1039/D3SC01354E
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2c09pd
title: CCDC 2175043: Experimental Crystal Structure Determination

description: Related Article: Aston C. Pearcy, Lynn S. Lisboa, Dan Preston, Nick B. Page, Tristan Lawrence, L. James Wright, Christian G. Hartinger, James D. Crowley|2023|Chemical Science|14|8615|doi:10.1039/D3SC01354E
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2c09rg
title: CCDC 2175045: Experimental Crystal Structure Determination

description: Related Article: Aston C. Pearcy, Lynn S. Lisboa, Dan Preston, Nick B. Page, Tristan Lawrence, L. James Wright, Christian G. Hartinger, James D. Crowley|2023|Chemical Science|14|8615|doi:10.1039/D3SC01354E
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5281/zenodo.8279277
title: generated_texts

description: The generated text from the finetuned models used for evaluation
DOI: 10.5281/zenodo.8279276
title: generated_texts

description: The generated text from the finetuned models used for evaluation
DOI: 10.5281/zenodo.8278433
title: Flume 3D Flow Velocities - Otemma Outdoor Flume Experiment (2021)

description: <strong>Flume 3D Flow Velocities - Otemma Outdoor Flume Experiment (2021)</strong> We collected the 3D flow velocities with an Acoustic Doppler Velocimeter (ADV), the Nortek Vectrino (VCN9421), supported by a sliding aluminum structure that allowed us to relocate the ADV precisely within the flumes. In each flume, we sampled the 3D velocities of 45 points, and we did this for the near-bed layer at 1 cm from the flume bottom. The sampling points were divided in three parallel lines (15 points each), located at the center of the flume and sufficiently away from the flume walls to avoid wall hydraulic interference. Each sampling point was measured for 60 seconds at a sampling rate of 25 Hz. Data format and information: Flume A: mmdd_FA_nD or mmdd_FA_nE or mmdd_FA_nF (n is the number of sampling point, from 1 to 15) Flume B: mmdd_FB_nA or mmdd_FB_nB or mmdd_FB_nC (n is the number of sampling point, from 1 to 15) Data are in .dat format File headers are provided (Header_A and Header_B), and are meant to explain the structures of the .dat matrices
DOI: 10.5281/zenodo.8278434
title: Flume 3D Flow Velocities - Otemma Outdoor Flume Experiment (2021)

description: <strong>Flume 3D Flow Velocities - Otemma Outdoor Flume Experiment (2021)</strong> We collected the 3D flow velocities with an Acoustic Doppler Velocimeter (ADV), the Nortek Vectrino (VCN9421), supported by a sliding aluminum structure that allowed us to relocate the ADV precisely within the flumes. In each flume, we sampled the 3D velocities of 45 points, and we did this for the near-bed layer at 1 cm from the flume bottom. The sampling points were divided in three parallel lines (15 points each), located at the center of the flume and sufficiently away from the flume walls to avoid wall hydraulic interference. Each sampling point was measured for 60 seconds at a sampling rate of 25 Hz. Data format and information: Flume A: mmdd_FA_nD or mmdd_FA_nE or mmdd_FA_nF (n is the number of sampling point, from 1 to 15) Flume B: mmdd_FB_nA or mmdd_FB_nB or mmdd_FB_nC (n is the number of sampling point, from 1 to 15) Data are in .dat format File headers are provided (Header_A and Header_B), and are meant to explain the structures of the .dat matrices
DOI: 10.34740/kaggle/dsv/6357877
title: 2021 World Population (updated daily)
DOI: 10.6084/m9.figshare.24025392
title: Supplementary results for Structural and biochemical characterisation of the N-carbamoyl-β-alanine amidohydrolase from <i>Rhizobium radiobacter</i> MDC 8606

description: Activity assay data for the characterisation of the N-carbamoyl-β-alanine amidohydrolase from <i>Rhizobium radiobacter</i> MDC 8606<br>
DOI: 10.5517/cc7hb45
title: CCDC 223266: Experimental Crystal Structure Determination

description: Related Article: M.B.Hursthouse, T.Gelbrich, P.G.Taylor|2003|CSD Communication|||
description: Related Article: Peter. G. Taylor, Thomas Gelbrich, Michael B. Hursthouse|2001|University of Southampton, Crystal Structure Report Archive||839|
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.34740/kaggle/dsv/6357888
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.5517/ccq87w2
title: CCDC 663334: Experimental Crystal Structure Determination

description: Related Article: Zhong-Jun Gao, Guang-Jun Liu, Han-Dong Yin|2009|Yingyong Huaxue|26|140|
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cc131x8b
title: CCDC 1014731: Experimental Crystal Structure Determination

description: Related Article: Alexandre R. Monteil, George G. Stanley, Frank R. Fronczek|2014|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1zf2j0
title: CCDC 1829822: Experimental Crystal Structure Determination

description: Related Article: G. Hofer, F. Grieder, M. Kröger, A.D. Schlüter, T. Weber|2018|J.Appl.Crystallogr.|51|481|doi:10.1107/S1600576718002820
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1zf37r
title: CCDC 1829844: Experimental Crystal Structure Determination

description: Related Article: G. Hofer, F. Grieder, M. Kröger, A.D. Schlüter, T. Weber|2018|J.Appl.Crystallogr.|51|481|doi:10.1107/S1600576718002820
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1zf3bv
title: CCDC 1829847: Experimental Crystal Structure Determination

description: Related Article: G. Hofer, F. Grieder, M. Kröger, A.D. Schlüter, T. Weber|2018|J.Appl.Crystallogr.|51|481|doi:10.1107/S1600576718002820
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1zf3l3
title: CCDC 1829855: Experimental Crystal Structure Determination

description: Related Article: G. Hofer, F. Grieder, M. Kröger, A.D. Schlüter, T. Weber|2018|J.Appl.Crystallogr.|51|481|doi:10.1107/S1600576718002820
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1zqfrw
title: CCDC 1838819: Experimental Crystal Structure Determination

description: Related Article: Feng-Yuan Wang, Qi Zhang, Zaiyong Zhang, Xiaoyi Gong, Jian-Rong Wang, Xuefeng Mei|2018|CrystEngComm|20|5945|doi:10.1039/C8CE00689J
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1zqk4d
title: CCDC 1838924: Experimental Crystal Structure Determination

description: Related Article: Feng-Yuan Wang, Qi Zhang, Zaiyong Zhang, Xiaoyi Gong, Jian-Rong Wang, Xuefeng Mei|2018|CrystEngComm|20|5945|doi:10.1039/C8CE00689J
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.4228/zalf-6vf7-4h53
title: BIBS Dataset: Plant functional traits of six grassland species along an urbanization gradient in Berlin, Germany

description: Plant functional traits collected in 2017 on wild populations of six grassland species along an urbanization gradient in Berlin, Germany, as part of the CityScapeLab. Three tables correspond to different measurements of the same populations, but on different unmarked individuals: (1) leaf morphological and chemical traits; (2) plant vegetative and reproductive height at maturity; (3) seed mass. Sample size varies from 8 to 20 populations (mean 13.5) depending on species and traits. This table contains the index of all tables forming this data collection.

Related datasets are listed in the metadata element 'Related Identifier'.
Dataset version 1.0
DOI: 10.5281/zenodo.8277549
title: GEO-Bench: test-dataset

description: <strong>GEO-Bench: test dataset</strong>
DOI: 10.5281/zenodo.8277548
title: GEO-Bench: test-dataset

description: <strong>GEO-Bench: test dataset</strong>
DOI: 10.5281/zenodo.8277544
title: GEO-Bench: m-NeonTree

description: <strong>GEO-Bench: m-NeonTree dataset</strong> This dataset has been modified to be included in the GEO-Bench dataset. All changes with respect to the original version are documented at https://github.com/ServiceNow/geo-bench. The original version of this dataset is due to Weinstein et al. (2019) and is available at: https://github.com/weecology/NeonTreeEvaluation. See the LICENSE file provided alongside this dataset for applicable licensing information.
DOI: 10.5281/zenodo.8277543
title: GEO-Bench: m-NeonTree

description: <strong>GEO-Bench: m-NeonTree dataset</strong> This dataset has been modified to be included in the GEO-Bench dataset. All changes with respect to the original version are documented at https://github.com/ServiceNow/geo-bench. The original version of this dataset is due to Weinstein et al. (2019) and is available at: https://github.com/weecology/NeonTreeEvaluation. See the LICENSE file provided alongside this dataset for applicable licensing information.
DOI: 10.5281/zenodo.8218757
title: Svalbox-DOM_2022-0001

description: <b>Model description: </b><br> 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.<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>Georeferencing data use CRS epsg:4326.Exported model data use CRS epsg:4326.<br><br><b>Show and visualise on Svalbox.no:</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. (2023). The Svalbox Digital Model Database: A Geoscientific Window into the High Arctic. Geosphere. https://doi.org/10.1130/GES02606.1</em>
DOI: 10.5281/zenodo.8218756
title: Svalbox-DOM_2022-0001

description: <b>Model description: </b><br> 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.<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>Georeferencing data use CRS epsg:4326.Exported model data use CRS epsg:4326.<br><br><b>Show and visualise on Svalbox.no:</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. (2023). The Svalbox Digital Model Database: A Geoscientific Window into the High Arctic. Geosphere. https://doi.org/10.1130/GES02606.1</em>
DOI: 10.5281/zenodo.8277533
title: GEO-Bench: m-forestnet

description: <strong>GEO-Bench: m-forestnet dataset</strong> This dataset has been modified to be included in the GEO-Bench dataset. All changes with respect to the original version are documented at https://github.com/ServiceNow/geo-bench. The original version of this dataset is due to Irvin et al. (2020) and is available at: https://stanfordmlgroup.github.io/projects/forestnet/. See the LICENSE file provided alongside this dataset for applicable licensing information.
DOI: 10.5281/zenodo.8277532
title: GEO-Bench: m-forestnet

description: <strong>GEO-Bench: m-forestnet dataset</strong> This dataset has been modified to be included in the GEO-Bench dataset. All changes with respect to the original version are documented at https://github.com/ServiceNow/geo-bench. The original version of this dataset is due to Irvin et al. (2020) and is available at: https://stanfordmlgroup.github.io/projects/forestnet/. See the LICENSE file provided alongside this dataset for applicable licensing information.
DOI: 10.5281/zenodo.8219049
title: Svalbox-DOM_2022-0002

description: <b>Model description: </b><br>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. <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:4326.<br><br><b>Show and visualise on Svalbox.no:</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. (2023). The Svalbox Digital Model Database: A Geoscientific Window into the High Arctic. Geosphere. https://doi.org/10.1130/GES02606.1</em>
DOI: 10.5281/zenodo.8219048
title: Svalbox-DOM_2022-0002

description: <b>Model description: </b><br>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. <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:4326.<br><br><b>Show and visualise on Svalbox.no:</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. (2023). The Svalbox Digital Model Database: A Geoscientific Window into the High Arctic. Geosphere. https://doi.org/10.1130/GES02606.1</em>
DOI: 10.5281/zenodo.8277477
title: GEO-Bench: m-bigearthnet

description: <strong>GEO-Bench: m-bigearthnet dataset</strong> This dataset has been modified to be included in the GEO-Bench dataset. All changes with respect to the original version are documented at https://github.com/ServiceNow/geo-bench. The original version of this dataset is due to Sumbul et al. (2019) and is available at: https://mlhub.earth/10.14279/depositonce-10149. See the LICENSE file provided alongside this dataset for applicable licensing information.
DOI: 10.5281/zenodo.8277476
title: GEO-Bench: m-bigearthnet

description: <strong>GEO-Bench: m-bigearthnet dataset</strong> This dataset has been modified to be included in the GEO-Bench dataset. All changes with respect to the original version are documented at https://github.com/ServiceNow/geo-bench. The original version of this dataset is due to Sumbul et al. (2019) and is available at: https://mlhub.earth/10.14279/depositonce-10149. See the LICENSE file provided alongside this dataset for applicable licensing information.
DOI: 10.5281/zenodo.8277134
title: GEO-Bench: m-SA-crop-type

description: <strong>GEO-Bench: m-SA-crop-type dataset</strong> This dataset has been modified to be included in the GEO-Bench dataset. All changes with respect to the original version are documented at https://github.com/ServiceNow/geo-bench. The original version of this dataset is due to the Western Cape Department of Agriculture and the Radiant Earth Foundation (2021) and is available at: https://mlhub.earth/data/ref_south_africa_crops_competition_v1. See the LICENSE file provided alongside this dataset for applicable licensing information.