cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.17008543
title: ICEs info

description: Experimentally verified ICEs data retrieved from the ICEberg database;Putative ICEs of 505 completely sequenced chromosomes of <i>K</i><i>. pneumoniae </i>identified by ICEfinder<br>
DOI: 10.6084/m9.figshare.17008543.v2
title: ICEs info

description: Experimentally verified ICEs data retrieved from the ICEberg database;Putative ICEs of 505 completely sequenced chromosomes of <i>K</i><i>. pneumoniae </i>identified by ICEfinder<br>
DOI: 10.6084/m9.figshare.17008543.v1
title: 271_ICE_info_fromICEberg.xlsx

description: 271 experimentally verified ICEs data retrieved from the ICEberg database
DOI: 10.6084/m9.figshare.17008474.v1
title: Treefile of 16 species and genes for phylogenetic analysis

description: ML tree of 16 published species within Cycadales and one outgroup Cupressus chengiana. List of genes for phylogenetic analysis.
DOI: 10.6084/m9.figshare.17008474
title: Treefile of 16 species and genes for phylogenetic analysis

description: ML tree of 16 published species within Cycadales and one outgroup Cupressus chengiana. List of genes for phylogenetic analysis.
DOI: 10.34740/kaggle/dsv/2811393
title: COVID Vaccination in World (updated daily)
DOI: 10.6084/m9.figshare.17005654
title: EFQA

description: we consider the FigureQA dataset, extend the variation of the figures and question types in the dataset and explore how the complexity of figures and increasing the variation of questions will impact the results of a conventional FQA system. Accordingly, we extend the dataset to the five-figure variants by adding the Gaussian distribution and adding eight question types to the twenty-three dataset variants
DOI: 10.5281/zenodo.5700948
title: Telfairia occidentalis SPAdes preassembly

description: .
DOI: 10.5281/zenodo.5700947
title: Telfairia occidentalis SPAdes preassembly

description: .
DOI: 10.5517/ccdc.csd.cc24cyvb
title: CCDC 1977702: Experimental Crystal Structure Determination

description: Related Article: Licheng Zhan, Mingqiu Zhu, Lin Liu, Jiwei Wang, Congyun Xie, Jun Zhang|2021|Inorg.Chem.|60|16035|doi:10.1021/acs.inorgchem.1c01964
DOI: 10.5517/ccdc.csd.cc24f9gc
title: CCDC 1978992: Experimental Crystal Structure Determination

description: Related Article: Licheng Zhan, Mingqiu Zhu, Lin Liu, Jiwei Wang, Congyun Xie, Jun Zhang|2021|Inorg.Chem.|60|16035|doi:10.1021/acs.inorgchem.1c01964
DOI: 10.5517/ccdc.csd.cc25rw3y
title: CCDC 2018940: Experimental Crystal Structure Determination

description: Related Article: Licheng Zhan, Mingqiu Zhu, Lin Liu, Jiwei Wang, Congyun Xie, Jun Zhang|2021|Inorg.Chem.|60|16035|doi:10.1021/acs.inorgchem.1c01964
DOI: 10.5517/ccdc.csd.cc2779rk
title: CCDC 2062608: Experimental Crystal Structure Determination

description: Related Article: Bai Chen, Zepeng Wang, Yuan Wang, Yihao Li, Jianfeng Zhao, Linghai Xie|2021|Cryst.Growth Des.|21|6173|doi:10.1021/acs.cgd.1c00622
DOI: 10.5517/ccdc.csd.cc22bljk
title: CCDC 1916808: Experimental Crystal Structure Determination

description: Related Article: Bai Chen, Zepeng Wang, Yuan Wang, Yihao Li, Jianfeng Zhao, Linghai Xie|2021|Cryst.Growth Des.|21|6173|doi:10.1021/acs.cgd.1c00622
DOI: 10.5517/ccdc.csd.cc2779sl
title: CCDC 2062609: Experimental Crystal Structure Determination

description: Related Article: Bai Chen, Zepeng Wang, Yuan Wang, Yihao Li, Jianfeng Zhao, Linghai Xie|2021|Cryst.Growth Des.|21|6173|doi:10.1021/acs.cgd.1c00622
DOI: 10.5517/ccdc.csd.cc277zzg
title: CCDC 2063266: Experimental Crystal Structure Determination

description: Related Article: Licheng Zhan, Mingqiu Zhu, Lin Liu, Jiwei Wang, Congyun Xie, Jun Zhang|2021|Inorg.Chem.|60|16035|doi:10.1021/acs.inorgchem.1c01964
DOI: 10.5517/ccdc.csd.cc24cz1k
title: CCDC 1977708: Experimental Crystal Structure Determination

description: Related Article: Licheng Zhan, Mingqiu Zhu, Lin Liu, Jiwei Wang, Congyun Xie, Jun Zhang|2021|Inorg.Chem.|60|16035|doi:10.1021/acs.inorgchem.1c01964
DOI: 10.5517/ccdc.csd.cc24cz5p
title: CCDC 1977712: Experimental Crystal Structure Determination

description: Related Article: Licheng Zhan, Mingqiu Zhu, Lin Liu, Jiwei Wang, Congyun Xie, Jun Zhang|2021|Inorg.Chem.|60|16035|doi:10.1021/acs.inorgchem.1c01964
DOI: 10.5517/ccdc.csd.cc287fqp
title: CCDC 2092522: Experimental Crystal Structure Determination

description: Related Article: Joseph Yount, Matthias Zeller, Edward F. C. Byrd, Davin G. Piercey|2021|Inorg.Chem.|60|16204|doi:10.1021/acs.inorgchem.1c01972
DOI: 10.5517/ccdc.csd.cc287frq
title: CCDC 2092523: Experimental Crystal Structure Determination

description: Related Article: Joseph Yount, Matthias Zeller, Edward F. C. Byrd, Davin G. Piercey|2021|Inorg.Chem.|60|16204|doi:10.1021/acs.inorgchem.1c01972
DOI: 10.5517/ccdc.csd.cc287fvt
title: CCDC 2092526: Experimental Crystal Structure Determination

description: Related Article: Joseph Yount, Matthias Zeller, Edward F. C. Byrd, Davin G. Piercey|2021|Inorg.Chem.|60|16204|doi:10.1021/acs.inorgchem.1c01972
DOI: 10.5517/ccdc.csd.cc287fwv
title: CCDC 2092527: Experimental Crystal Structure Determination

description: Related Article: Joseph Yount, Matthias Zeller, Edward F. C. Byrd, Davin G. Piercey|2021|Inorg.Chem.|60|16204|doi:10.1021/acs.inorgchem.1c01972
DOI: 10.5517/ccdc.csd.cc287fxw
title: CCDC 2092528: Experimental Crystal Structure Determination

description: Related Article: Joseph Yount, Matthias Zeller, Edward F. C. Byrd, Davin G. Piercey|2021|Inorg.Chem.|60|16204|doi:10.1021/acs.inorgchem.1c01972
DOI: 10.5517/ccdc.csd.cc287fyx
title: CCDC 2092529: Experimental Crystal Structure Determination

description: Related Article: Joseph Yount, Matthias Zeller, Edward F. C. Byrd, Davin G. Piercey|2021|Inorg.Chem.|60|16204|doi:10.1021/acs.inorgchem.1c01972
DOI: 10.5517/ccdc.csd.cc287fzy
title: CCDC 2092530: Experimental Crystal Structure Determination

description: Related Article: Joseph Yount, Matthias Zeller, Edward F. C. Byrd, Davin G. Piercey|2021|Inorg.Chem.|60|16204|doi:10.1021/acs.inorgchem.1c01972
DOI: 10.5517/ccdc.csd.cc287my3
title: CCDC 2092715: Experimental Crystal Structure Determination

description: Related Article: Dileep Kumar, Abdus Salam, Tonish Kumar Sahu, Sujit Soumitra Sahoo, Tabrez Khan|2021|J.Org.Chem.|86|15096|doi:10.1021/acs.joc.1c01780
DOI: 10.5281/zenodo.2181167
title: CTR Datasets

description: Datasets for benchmarking CTR prediction models.
DOI: 10.5281/zenodo.2002073
title: CTR Datasets

description: CTR datasets
DOI: 10.6084/m9.figshare.17008759
title: Supplementary Appendix_Gomes NL.pdf

description: This is the supplemental material of "<b>Contribution of clinical and genetic approaches for diagnosing patients with 46,XY Differences of Sex Development (DSD): a cross-sectional study of a cohort of 209 Brazilian index cases".</b>
DOI: 10.6084/m9.figshare.17008759.v1
title: Supplementary Appendix_Gomes NL.pdf

description: This is the supplemental material of "<b>Contribution of clinical and genetic approaches for diagnosing patients with 46,XY Differences of Sex Development (DSD): a cross-sectional study of a cohort of 209 Brazilian index cases".</b>
DOI: 10.6084/m9.figshare.13436234.v1
title: Ruivães Fern 16:09 - Hyperspectral Radiance Image

description: Hyperspectral radiance data. The zipped file contains an unaveraged hyperspectral radiance image in Matlab MAT format, size 1024 × 1344 × 33, and spectral radiance in W m<sup>−2</sup> sr<sup>−1</sup> nm<sup>−1</sup>. The image is one of a pair of images acquired at different times. The zipped file also contains a BMP colour image, rendered from the radiance image, and an information document, which includes geographic location. The separate JPG image of the scene is for illustration only. Padding artefacts may be visible at the image edges. The hyperspectral images were acquired by Sérgio Nascimento, Kinjiro Amano, and David Foster from the Minho region of Portugal in 2002 and 2003.
DOI: 10.5519/qd.xb7ohntb
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1001 records)
DOI: 10.6084/m9.figshare.13436234.v2
title: Ruivães Fern 16:09 - Hyperspectral Radiance Image

description: Hyperspectral radiance data. The zipped file contains an unaveraged hyperspectral radiance image in Matlab MAT format, size 1024 × 1344 × 33, and spectral radiance in W m<sup>−2</sup> sr<sup>−1</sup> nm<sup>−1</sup>. The image is one of a pair of images acquired at different times. The zipped file also contains a BMP colour image, rendered from the radiance image, and an information document, which includes geographic location. The separate JPG image of the scene is for illustration only. Padding artefacts may be visible at the image edges. The hyperspectral images were acquired by Sérgio Nascimento, Kinjiro Amano, and David Foster from the Minho region of Portugal in 2002 and 2003.
DOI: 10.5519/qd.pi2xp7kh
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (17 records)
DOI: 10.5281/zenodo.5700983
title: Orphnurgus asper SPAdes preassembly

description: .
DOI: 10.5281/zenodo.5700982
title: Orphnurgus asper SPAdes preassembly

description: .
DOI: 10.5517/ccdc.csd.cc28pz43
title: CCDC 2106485: Experimental Crystal Structure Determination

description: Related Article: Patrick Hewitt, David A. Shultz, Martin L. Kirk|2021|Org.Lett.|23|8235|doi:10.1021/acs.orglett.1c02982
DOI: 10.5517/ccdc.csd.cc28r0cf
title: CCDC 2107484: Experimental Crystal Structure Determination

description: Related Article: Patrick Hewitt, David A. Shultz, Martin L. Kirk|2021|Org.Lett.|23|8235|doi:10.1021/acs.orglett.1c02982
DOI: 10.5517/ccdc.csd.cc28r0dg
title: CCDC 2107485: Experimental Crystal Structure Determination

description: Related Article: Patrick Hewitt, David A. Shultz, Martin L. Kirk|2021|Org.Lett.|23|8235|doi:10.1021/acs.orglett.1c02982
DOI: 10.34740/kaggle/dsv/2811587
title: 20 years of hourly weather data from Brazil
DOI: 10.6084/m9.figshare.17008814
title: Hunting spider data 100 cases

description: Used in the PhD thesis from Bert van der Veen (2021), provided by Cajo ter Braak, published with permission from the Canoco 5 example datasets.<br>Original source: "van der Aart, P. J. M., and Smeenk-Enserink, N. (1975) Correlations between distributions of hunting spiders (Lycos- idae, Ctenidae) and environmental characteristics in a dune area. Netherlands Journal of Zoology 25, 1-45."
DOI: 10.6084/m9.figshare.17005072
title: Dyke data

description: Used in the PhD thesis from Bert van der Veen (2021), provided by Cajo ter Braak, published with permission from the Canoco 5 example datasets.<br><br>Original source: De Lange, L. 1972. An ecological study of ditch vegetation in the Netherlands. Dissertation. University of Amsterdam, Amsterdam, The Netherlands.
DOI: 10.5281/zenodo.5701043
title: Fluorescence lifetime imaging of pH along the secretory pathway

description: Many cellular processes are dependent on correct pH levels, and this is especially important for the secretory pathway. Defects in pH homeostasis in distinct organelles cause a wide range of diseases, including disorders of glycosylation and lysosomal storage diseases. Ratiometric imaging of the pH-sensitive mutant of green fluorescent protein (GFP), pHLuorin, has allowed for targeted pH measurements in various organelles, but the required sequential image acquisition is intrinsically slow and therefore the temporal resolution unsuitable to follow the rapid transit of cargo between organelles. We therefore applied fluorescence lifetime imaging microscopy (FLIM) to measure intraorganellar pH with just a single excitation wavelength. We first validated this method by confirming the pH in multiple compartments along the secretory pathway. Then, we analyze the dynamic pH changes within cells treated with Brefeldin A, a COPI coat inhibitor. Finally, we followed the pH changes of newly-synthesized molecules of the inflammatory cytokine tumor necrosis factor (TNF)-α while it was in transit from the endoplasmic reticulum via the Golgi to the plasma membrane. The toolbox we present here can be applied to measure intracellular pH with high spatial and temporal resolution, and can be used to assess organellar pH in disease models.
description: G.v.d.B. is funded by a Young Investigator Grant from the Human Frontier Science Program (HFSP; RGY0080/2018) and a Vidi grant from the Netherlands Organisation for Scientific Research (NWO-ALW VIDI 864.14.001). G.v.d.B has also received funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation program (grant agreement No. 862137).
DOI: 10.5281/zenodo.4643773
title: Fluorescence lifetime imaging of pH along the secretory pathway

description: Many cellular processes are dependent on correct pH levels, and this is especially important for the secretory pathway. Defects in pH homeostasis in distinct organelles cause a wide range of diseases, including disorders of glycosylation and lysosomal storage diseases. Ratiometric imaging of the pH-sensitive mutant of green fluorescent protein (GFP), pHLuorin, has allowed for targeted pH measurements in various organelles, but the required sequential image acquisition is intrinsically slow and therefore the temporal resolution unsuitable to follow the rapid transit of cargo between organelles. We therefore applied fluorescence lifetime imaging microscopy (FLIM) to measure intraorganellar pH with just a single excitation wavelength. We first validated this method by confirming the pH in multiple compartments along the secretory pathway. Then, we analyze the dynamic pH changes within cells treated with Brefeldin A, a COPI coat inhibitor. Finally, we followed the pH changes of newly-synthesized molecules of the inflammatory cytokine tumor necrosis factor (TNF)-α while it was in transit from the endoplasmic reticulum via the Golgi to the plasma membrane. The toolbox we present here can be applied to measure intracellular pH with high spatial and temporal resolution, and can be used to assess organellar pH in disease models.
description: G.v.d.B. is funded by a Young Investigator Grant from the Human Frontier Science Program (HFSP; RGY0080/2018) and a Vidi grant from the Netherlands Organisation for Scientific Research (NWO-ALW VIDI 864.14.001). G.v.d.B has also received funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation program (grant agreement No. 862137).
DOI: 10.5519/qd.cmyb9e9f
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (4959248 records)
DOI: 10.5281/zenodo.5697964
title: Cysteinolic acid is a widely distributed compatible solute of marine microalgae.

description: This dataset contains raw file of MS and MS/MS spectra of the diatom Thalassiosira weissflogii (both xenic and axenic cultures) and its zwitterionic compatible solutes cysteinolic acid, ectoine, glycine betaine and homarine.
DOI: 10.5281/zenodo.5697963
title: Cysteinolic acid is a widely distributed compatible solute of marine microalgae.

description: This dataset contains raw file of MS and MS/MS spectra of the diatom Thalassiosira weissflogii (both xenic and axenic cultures) and its zwitterionic compatible solutes cysteinolic acid, ectoine, glycine betaine and homarine.
DOI: 10.5281/zenodo.5701112
title: The Hills of Governor's Island Dataset for QGIS

description: <strong>The Hills of Governor's Island Dataset for QGIS</strong><br> This archive contains a QGIS project and a geopackage with raster and vector data for the Hills region of Governor's Island, New York City, USA. The CRS is NAD83 / New York Long Island (ftUS) with the EPSG code 2263. <strong>Data Sources</strong> https://orthos.dhses.ny.gov/ https://data.cityofnewyork.us/ <strong>License</strong><br> This dataset is licensed under the ODC Public Domain Dedication and License 1.0 (PDDL) by Brendan Harmon.
DOI: 10.5281/zenodo.5249090
title: The Hills of Governor's Island Dataset for QGIS

description: <strong>The Hills of Governor's Island Dataset for QGIS</strong><br> This archive contains a QGIS project and a geopackage with raster and vector data for the Hills region of Governor's Island, New York City, USA. The CRS is NAD83 / New York Long Island (ftUS) with the EPSG code 2263. <strong>Data Sources</strong> https://orthos.dhses.ny.gov/ https://data.cityofnewyork.us/ <strong>License</strong><br> This dataset is licensed under the ODC Public Domain Dedication and License 1.0 (PDDL) by Brendan Harmon.
DOI: 10.5281/zenodo.5701115
title: Governor's Island Dataset for QGIS

description: <strong>Governor's Island Dataset for QGIS</strong><br> This archive contains a QGIS project and a geopackage with raster and vector data for Governor's Island, New York City, USA. The CRS is NAD83 / New York Long Island (ftUS) with the EPSG code 2263. <strong>Data Sources</strong> https://orthos.dhses.ny.gov/ https://data.cityofnewyork.us/ <strong>License</strong><br> This dataset is licensed under the ODC Public Domain Dedication and License 1.0 (PDDL) by Brendan Harmon.
DOI: 10.5281/zenodo.4044663
title: Governor's Island Dataset for QGIS

description: <strong>Governor's Island Dataset for QGIS</strong><br> This archive contains a QGIS project and a geopackage with raster and vector data for Governor's Island, New York City, USA. The CRS is NAD83 / New York Long Island (ftUS) with the EPSG code 2263. <strong>Data Sources</strong> https://orthos.dhses.ny.gov/ https://data.cityofnewyork.us/ <strong>License</strong><br> This dataset is licensed under the ODC Public Domain Dedication and License 1.0 (PDDL) by Brendan Harmon.
DOI: 10.6084/m9.figshare.17008838.v1
title: Effect of mirogabalin on chemotherapy-induced peripheral neuropathy caused by gemcitabine plus nab-paclitaxel therapy in pancreatic cancer patients: A pilot study

description: <b>Effect of mirogabalin on chemotherapy-induced peripheral neuropathy caused by gemcitabine plus nab-paclitaxel therapy in pancreatic cancer patients: A pilot study dataset</b>
DOI: 10.6084/m9.figshare.17008838
title: Effect of mirogabalin on chemotherapy-induced peripheral neuropathy caused by gemcitabine plus nab-paclitaxel therapy in pancreatic cancer patients: A pilot study

description: <b>Effect of mirogabalin on chemotherapy-induced peripheral neuropathy caused by gemcitabine plus nab-paclitaxel therapy in pancreatic cancer patients: A pilot study dataset</b>
DOI: 10.6084/m9.figshare.11881395
title: DownloadForm.zip

description: absdd
DOI: 10.25345/c5w86m
title: MassIVE MSV000088378 - GNPS - Global mass spectrometric analysis reveals chemical diversity of secondary metabolites and 44-methyl gambierone (maitotoxin-3) production in Philippine Gambierdiscus strains
title: Surveillance and characterization of emerging marine toxins and toxigenic dinoflagellates are warranted to evaluate their associated health risks. Here, we report the occurrence of the ciguatera poisoning-causative dinoflagellate Gambierdiscus balechii in the Philippines. Toxin production and chemical diversity of secondary metabolites in G. balechii GtoxSAM092414, G. balechii Gtox112513, and the recently reported G. carpenteri Gam1BOL080513 were assessed using UPLC-HRMS/MS and radioligand receptor-binding assay (RBA). 44-methyl gambierone (maitotoxin-3) was produced by all three strains, albeit with different levels based on RBA and UPLC-HRMS/MS analysis. Fatty acids composition was similar in all strains, while subtle differences in monosaccharide content were observed, related to the collection site rather than the species. Molecular networking using the GNPS database identified 45 clusters belonging to at least ten compound classes, with terpene glycosides, carbohydrate conjugates, polyketides, and macrolides as major convergence points. Species-specific peptides and polyhydroxylated compounds were identified in G. balechii GtoxSAM092414 and G. carpenteri Gam1BOL080513, respectively. These provide a glimpse of the uncharacterized biosynthetic potential of benthic dinoflagellates and highlights the intricate and prolific machinery for secondary metabolites production in these organisms.
DOI: 10.6084/m9.figshare.17008964
title: Gray_BGC study_Raw Data_2021.xlsx

description: Dataset includes raw data from nitrogen and carbon species data from laboratory assessment into how relevant levels of antibiotics impact carbon and nitrogen cycle processes. Also included in the dataset are copy number values of key functional genes.
DOI: 10.6084/m9.figshare.17008964.v1
title: Gray_BGC study_Raw Data_2021.xlsx

description: Dataset includes raw data from nitrogen and carbon species data from laboratory assessment into how relevant levels of antibiotics impact carbon and nitrogen cycle processes. Also included in the dataset are copy number values of key functional genes.
DOI: 10.6084/m9.figshare.17008985
title: Workpiece profiles dataset (TESTS S1 and S2)

description: Profile measurements by Mahr Round Tester
DOI: 10.6084/m9.figshare.17009012
title: Srivathsa_etal_CarnivoresIndia_Data.xlsx

description: Sheet 1 "Reviewed Lit." includes list of all literature reviewed in the paper.<br>Sheet 2 "Impact Factors" is the input file used for regressions where IF of journal articles is the response, along with 5 untransformed predictors <br>Sheet 3 "No. of publications" is the input file used for regressions where number of publications per species is the response, along with 4 untransformed predictors<br><br>Sheet 4 "Average study duration" is the input file used for regressions where the average study duration per species is the response, along with 4 untransformed predictors<br><br>
DOI: 10.6084/m9.figshare.17009012.v1
title: Srivathsa_etal_CarnivoresIndia_Data.xlsx

description: Sheet 1 "Reviewed Lit." includes list of all literature reviewed in the paper.<br>Sheet 2 "Impact Factors" is the input file used for regressions where IF of journal articles is the response, along with 5 untransformed predictors <br>Sheet 3 "No. of publications" is the input file used for regressions where number of publications per species is the response, along with 4 untransformed predictors<br><br>Sheet 4 "Average study duration" is the input file used for regressions where the average study duration per species is the response, along with 4 untransformed predictors<br><br>
DOI: 10.5281/zenodo.5701255
title: Mapping canopy cover in African dry forests from combined use of Sentinel-1 and Sentinel-2 data: 2018 maps for Tanzania

description: The monitoring of tropical forests has benefited from the increased availability of high-resolution earth observation data. However, the seasonality and openness of the canopy of dry tropical forests remains a challenge for optical sensors. The availability of time series of remote sensing images at 10-meters is changing this paradigm. In the context of REDD+ national reporting requirements, we investigated a methodology that is reproducible and adaptable in order to ensure user appropriation. The overall methodology consists of three main steps: (i) the generation of Sentinel-1 (S1) and Sentinel-2 (S2) layers, (ii) the collection of an ad-hoc training/validation dataset and (iii) the classification of the satellite data. Three different classification workflows are compared in terms of their capability to capture the canopy cover of forests in East Africa. Two types of maps are derived from these mapping approaches: i) binary tree cover/no tree cover (TC/NTC) maps, and ii) maps of canopy cover classes. The method is applied at scale, over Tanzania and one final map for each workflow is shared. Two big data computing platforms are combined to exploit the important volume of satellite data available over a yearly period. The reference dataset (training and validation), the three best maps and the codes to produce the S1 and S2 composites on Google Earth Engine are shared here.
DOI: 10.6084/m9.figshare.17009003.v1
title: CCTransformationExtraction.zip

description: CCTransformationExtraction is designed for extracting concept transforamtions from geo-analytical questions.
DOI: 10.6084/m9.figshare.17009003.v2
title: CCTransformationExtraction.zip

description: CCTransformationExtraction is designed for extracting concept transforamtions from geo-analytical questions.