cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4290041
title: Surface velocities of the Müller ice cap

description: A median surface velocity map of the Müller ice cap on Axel Heiberg Island in the period of 2014 to 2019. The surface velocity maps are made using feature tracking of optical Landsat 8 images using the panchromatic band. The velocity map is on a 900 meters grid.<br> <br> ListOFLandsat8scenes.xlsx provides a list of all of the scenes used in the feature tracking process. The feature tracking is done using two scenes from the same row and path with approximately one year in between. The median of all velocity maps has been made and is presented here. Citation: Ann-Sofie P. Zinck, Surface velocity and ice thickness of the Müller ice cap, Axel Heiberg Island, Master thesis, University of Copenhagen, Copenhagen, 2020
DOI: 10.5281/zenodo.4290040
title: Surface velocities of the Müller ice cap

description: A median surface velocity map of the Müller ice cap on Axel Heiberg Island in the period of 2014 to 2019. The surface velocity maps are made using feature tracking of optical Landsat 8 images using the panchromatic band. The velocity map is on a 900 meters grid.<br> <br> ListOFLandsat8scenes.xlsx provides a list of all of the scenes used in the feature tracking process. The feature tracking is done using two scenes from the same row and path with approximately one year in between. The median of all velocity maps has been made and is presented here. Citation: Ann-Sofie P. Zinck, Surface velocity and ice thickness of the Müller ice cap, Axel Heiberg Island, Master thesis, University of Copenhagen, Copenhagen, 2020
DOI: 10.5519/qd.1s6scgtw
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.6084/m9.figshare.13285871.v1
title: Data-Wu.pdf

description: A novel method for measuring suspended sediment concentrations based on the concept of the specific heat capacity
DOI: 10.6084/m9.figshare.13285871
title: Data-Wu.pdf

description: A novel method for measuring suspended sediment concentrations based on the concept of the specific heat capacity
DOI: 10.5281/zenodo.2092578
title: Analyses of the works of art and events related to Erkki Kurenniemi's Electronic Musical Instruments (EKIS)

description: This speadsheet includes data related to analyses of works of art and events related to the Erkki Kurenniemi's electronic musical instruments. The data set produced as a part of the PhD project "User Stories of Erkki Kurenniemi’s Electronic Musical Instruments" by Mikko Ojanen.
DOI: 10.5281/zenodo.2092577
title: Analyses of the works of art and events related to Erkki Kurenniemi's Electronic Musical Instruments (EKIS)

description: This speadsheet includes data related to analyses of works of art and events related to the Erkki Kurenniemi's electronic musical instruments. The data set produced as a part of the PhD project "User Stories of Erkki Kurenniemi’s Electronic Musical Instruments" by Mikko Ojanen.
DOI: 10.5281/zenodo.4290039
title: Ice thicknesses of the Müller ice cap

description: Modeled ice thicknesses of the Müller ice cap, Axel Heiberg Island. Five different models of the ice thickness has been made. All model results comes with individual GeoTIFFs of bedrock topography, ice thickness and surface elevation. The data is either on a 100 or 900 meters grid depending on the model. Citation: Ann-Sofie P. Zinck, Surface velocity and ice thickness of the Müller ice cap, Axel Heiberg Island, Master thesis, University of Copenhagen, Copenhagen, 2020
DOI: 10.5281/zenodo.4290038
title: Ice thicknesses of the Müller ice cap

description: Modeled ice thicknesses of the Müller ice cap, Axel Heiberg Island. Five different models of the ice thickness has been made. All model results comes with individual GeoTIFFs of bedrock topography, ice thickness and surface elevation. The data is either on a 100 or 900 meters grid depending on the model. Citation: Ann-Sofie P. Zinck, Surface velocity and ice thickness of the Müller ice cap, Axel Heiberg Island, Master thesis, University of Copenhagen, Copenhagen, 2020
DOI: 10.6084/m9.figshare.13285745
title: Supplementary Material for: Opioid Use Is More Common in Nonalcoholic Fatty Liver Disease Patients with Cirrhosis, Higher BMI, and Psychiatric Disease

description: <b><i>Background:</i></b> Opioid use is a topic of growing concern among patients with nonalcoholic fatty liver disease (NAFLD). Given safety concerns of opioids, proactively identifying subgroups of patients with an increased probability of opioid use may encourage practitioners to recommend alternative therapies for pain, thus reducing the likelihood of opioid misuse. This work assessed the prevalence and patient characteristics associated with opioid use in a real-world cohort of patients with NAFLD. <b><i>Methods:</i></b> TARGET-NASH, an observational study of participants at 55 academic and community sites in the United States, includes patients with NAFLD defined by pragmatic case definitions. Opioid use was defined as any documented opioid prescriptions in the year prior to enrollment. The association between patient characteristics and the odds of opioid use were modeled with stepwise multivariable logistic regression and tree ensemble methods (Classification and regression tree/Boosted Tree). <b><i>Results:</i></b> The cohort included 3,474 adult patients with NAFLD including 18.0% with documented opioid use. Variables associated with opioid use included presence of cirrhosis (OR 1.51, 95% CI 1.16–1.98), BMI ≥32 kg/m<sup>2</sup> (OR 1.29, 95% CI 1.05–1.59), depression (OR 1.87, 95% CI 1.50–2.33), and anxiety (OR 1.59, 95% CI 1.27–1.98). In the boosted tree analysis, history of back pain, depression, and fibromyalgia had the greatest relative importance in predicting opioid use. <b><i>Conclusion:</i></b> Prescription opioids were used in nearly 1 of 5 patients with NAFLD. Given the safety concerns of opioids in patients with NAFLD, alternative therapies including low-dose acetaminophen and nonpharmacologic treatments should be considered for these patients.
DOI: 10.6084/m9.figshare.13285745.v1
title: Supplementary Material for: Opioid Use Is More Common in Nonalcoholic Fatty Liver Disease Patients with Cirrhosis, Higher BMI, and Psychiatric Disease

description: <b><i>Background:</i></b> Opioid use is a topic of growing concern among patients with nonalcoholic fatty liver disease (NAFLD). Given safety concerns of opioids, proactively identifying subgroups of patients with an increased probability of opioid use may encourage practitioners to recommend alternative therapies for pain, thus reducing the likelihood of opioid misuse. This work assessed the prevalence and patient characteristics associated with opioid use in a real-world cohort of patients with NAFLD. <b><i>Methods:</i></b> TARGET-NASH, an observational study of participants at 55 academic and community sites in the United States, includes patients with NAFLD defined by pragmatic case definitions. Opioid use was defined as any documented opioid prescriptions in the year prior to enrollment. The association between patient characteristics and the odds of opioid use were modeled with stepwise multivariable logistic regression and tree ensemble methods (Classification and regression tree/Boosted Tree). <b><i>Results:</i></b> The cohort included 3,474 adult patients with NAFLD including 18.0% with documented opioid use. Variables associated with opioid use included presence of cirrhosis (OR 1.51, 95% CI 1.16–1.98), BMI ≥32 kg/m<sup>2</sup> (OR 1.29, 95% CI 1.05–1.59), depression (OR 1.87, 95% CI 1.50–2.33), and anxiety (OR 1.59, 95% CI 1.27–1.98). In the boosted tree analysis, history of back pain, depression, and fibromyalgia had the greatest relative importance in predicting opioid use. <b><i>Conclusion:</i></b> Prescription opioids were used in nearly 1 of 5 patients with NAFLD. Given the safety concerns of opioids in patients with NAFLD, alternative therapies including low-dose acetaminophen and nonpharmacologic treatments should be considered for these patients.
DOI: 10.6084/m9.figshare.13285766
title: Supplementary Material for: LncRNA MAFG-AS1 Promotes the Progression of Bladder Cancer by Targeting the miR-143-3p/COX-2 Axis

description: <b><i>Background:</i></b> Long noncoding RNAs (lncRNAs) are potential biomarkers that are very important for the development of cancer. Studies show that lncRNAs are significantly correlated with the carcinogenesis and progression of bladder cancer (BLCA). In this research, we aimed at probing into the role of lncRNA MAFG-AS1 in the tumorigenesis of BLCA. <b><i>Methods:</i></b> RT-qPCR was employed to detect MAFG-AS1 expression in BLCA tissues and cells. MAFG-AS1 siRNA and overexpression plasmid were transfected into 5637 and T24 BLCA cell lines to inhibit or upregulate MAFG-AS1 expression, respectively, and then the regulatory functions of MAFG-AS1 on BLCA cell proliferation, migration, and invasion were assessed using cell counting kit-8 (CCK-8) assay, EdU method, and Transwell experiments, respectively. Dual-luciferase reporter assay and RNA immunoprecipitation were conducted to validate the targeting relationships between MAFG-AS1 and miR-143-3p, and miR-143-3p and COX-2. In addition, miR-143-3p was repressed in MAFG-AS1-silenced 5637 and T24 cell lines, and the function of MAFG-AS1/miR-143-3p axis in BLCA cells was further evaluated. The regulatory effects of MAFG-AS1 and miR-143-3p on the expression of COX-2 protein were detected by Western blot. <b><i>Results:</i></b> MAFG-AS1 was remarkably upregulated in BLCA patient tissues and cell lines, and its high expression was closely related to histological grade, tumor size, and lymph node metastasis. Silencing of MAFG-AS1 inhibited BLCA cell proliferation, metastasis, and invasion, while overexpression of MAFG-AS1 in BLCA cells had opposite biological effects. MAFG-AS1 was proved to target miR-143-3p to repress its expression. Moreover, it was confirmed that MAFG-AS1 and miR-143-3p could modulate COX-2 expression. <b><i>Conclusion:</i></b> The MAFG-AS1/miR-143-3p/COX-2 axis contributes to BLCA progression.
DOI: 10.6084/m9.figshare.13285766.v1
title: Supplementary Material for: LncRNA MAFG-AS1 Promotes the Progression of Bladder Cancer by Targeting the miR-143-3p/COX-2 Axis

description: <b><i>Background:</i></b> Long noncoding RNAs (lncRNAs) are potential biomarkers that are very important for the development of cancer. Studies show that lncRNAs are significantly correlated with the carcinogenesis and progression of bladder cancer (BLCA). In this research, we aimed at probing into the role of lncRNA MAFG-AS1 in the tumorigenesis of BLCA. <b><i>Methods:</i></b> RT-qPCR was employed to detect MAFG-AS1 expression in BLCA tissues and cells. MAFG-AS1 siRNA and overexpression plasmid were transfected into 5637 and T24 BLCA cell lines to inhibit or upregulate MAFG-AS1 expression, respectively, and then the regulatory functions of MAFG-AS1 on BLCA cell proliferation, migration, and invasion were assessed using cell counting kit-8 (CCK-8) assay, EdU method, and Transwell experiments, respectively. Dual-luciferase reporter assay and RNA immunoprecipitation were conducted to validate the targeting relationships between MAFG-AS1 and miR-143-3p, and miR-143-3p and COX-2. In addition, miR-143-3p was repressed in MAFG-AS1-silenced 5637 and T24 cell lines, and the function of MAFG-AS1/miR-143-3p axis in BLCA cells was further evaluated. The regulatory effects of MAFG-AS1 and miR-143-3p on the expression of COX-2 protein were detected by Western blot. <b><i>Results:</i></b> MAFG-AS1 was remarkably upregulated in BLCA patient tissues and cell lines, and its high expression was closely related to histological grade, tumor size, and lymph node metastasis. Silencing of MAFG-AS1 inhibited BLCA cell proliferation, metastasis, and invasion, while overexpression of MAFG-AS1 in BLCA cells had opposite biological effects. MAFG-AS1 was proved to target miR-143-3p to repress its expression. Moreover, it was confirmed that MAFG-AS1 and miR-143-3p could modulate COX-2 expression. <b><i>Conclusion:</i></b> The MAFG-AS1/miR-143-3p/COX-2 axis contributes to BLCA progression.
DOI: 10.5517/ccdc.csd.cc1pn6dy
title: CCDC 1568550: Experimental Crystal Structure Determination

description: Related Article: Lani A. Seaman, Elizabeth A. Pedrick, Guang Wu, Trevor W. Hayton|2018|J.Organomet.Chem.|857|34|doi:10.1016/j.jorganchem.2017.08.007
DOI: 10.5517/ccdc.csd.cc1pn6fz
title: CCDC 1568551: Experimental Crystal Structure Determination

description: Related Article: Lani A. Seaman, Elizabeth A. Pedrick, Guang Wu, Trevor W. Hayton|2018|J.Organomet.Chem.|857|34|doi:10.1016/j.jorganchem.2017.08.007
DOI: 10.5517/ccdc.csd.cc24nw0q
title: CCDC 1986263: Experimental Crystal Structure Determination

description: Related Article: Stefania Mirabella, Giulia Petrucci, Cristina Faggi, Camilla Matassini, Francesca Cardona, Andrea Goti|2020|Org.Lett.|22|9041|doi:10.1021/acs.orglett.0c03438
DOI: 10.5517/ccdc.csd.cc25f04s
title: CCDC 2008494: Experimental Crystal Structure Determination

description: Related Article: Shanshan Zhang, Zheng Wang, Qianrong Cao, Erlin Yue, Qingbin Liu, Yanping Ma, Tongling Liang, Wen-Hua Sun|2020|Dalton Trans.|49|15821|doi:10.1039/D0DT03257C
DOI: 10.5517/ccdc.csd.cc25f05t
title: CCDC 2008495: Experimental Crystal Structure Determination

description: Related Article: Shanshan Zhang, Zheng Wang, Qianrong Cao, Erlin Yue, Qingbin Liu, Yanping Ma, Tongling Liang, Wen-Hua Sun|2020|Dalton Trans.|49|15821|doi:10.1039/D0DT03257C
DOI: 10.6084/m9.figshare.13233353.v3
title: Han R. et al. 2020.rar

description: Extract the compressed file and there are two files:<br>The file of 'statistical data' includes the database that was used to statistical analysis;<br>The file of 'graphic data' includes all values used to build graphs, including means, standard error of mean and other measures reported.
DOI: 10.6084/m9.figshare.13285853
title: SupplementaryMaterial1_minimal_data.xlsx

description: Minimal raw behavioral data for all subjects used in the study's analyses.
DOI: 10.6084/m9.figshare.13285853.v2
title: SupplementaryMaterial1_minimal_data.xlsx

description: Minimal raw behavioral data for all subjects used in the study's analyses.
DOI: 10.6084/m9.figshare.13285853.v1
title: SupplementaryMaterial1_minimal_data.xlsx

description: Minimal raw behavioral data for all subjects used in the study's analyses.
DOI: 10.5281/zenodo.3855617
title: Archived data from Batziakas et al. 2020

description: Flow cytometry, inverse microscope and image analysis plankton data, as well as the Normalized Biomass Size Spectra (NBSS) constructed from said data of the planktonic communities of Elefsina Bay and Aghios Kosmas (Saronikos Gulf, Greece) during winter (December 2012) and summer (September 2013) in two layers. Data are presented in Batziakas S., Frangoulis C., Tsiola A., Nikolioudakis N., Tsagaraki T. M. and Somarakis S. (2020). Hypoxia changes the shape of the biomass size spectrum of planktonic communities: A case study in the eastern Mediterranean (Elefsina Bay). <em>J. Plankton Res.</em>, <strong>42(6)</strong>, 752-766. (DOI: 10.1093/plankt/fbaa055)
DOI: 10.5281/zenodo.3855616
title: Archived data from Batziakas et al. 2020

description: Flow cytometry, inverse microscope and image analysis plankton data, as well as the Normalized Biomass Size Spectra (NBSS) constructed from said data of the planktonic communities of Elefsina Bay and Aghios Kosmas (Saronikos Gulf, Greece) during winter (December 2012) and summer (September 2013) in two layers. Data are presented in Batziakas S., Frangoulis C., Tsiola A., Nikolioudakis N., Tsagaraki T. M. and Somarakis S. (2020). Hypoxia changes the shape of the biomass size spectrum of planktonic communities: A case study in the eastern Mediterranean (Elefsina Bay). <em>J. Plankton Res.</em>, <strong>42(6)</strong>, 752-766. (DOI: 10.1093/plankt/fbaa055)
DOI: 10.6084/m9.figshare.13285928
title: SupportingInformation1_minimal_data

description: Supporting information for raw behavioral data.
DOI: 10.6084/m9.figshare.13285928.v1
title: SupportingInformation1_minimal_data

description: Supporting information for raw behavioral data.
DOI: 10.5281/zenodo.4279164
title: PSSH2 - database of protein sequence-to-structure homologies

description: <strong>The PSSH2 data set</strong><br> <br> PSSH2 is a database of protein sequence-to-structure homologies based on HHblits, an alignment method employing iterative comparisons of hidden Markov models (HMMs). To ensure the highest possible final alignment quality for matches in Aquaria using HHblits, we first calculate HMM profiles for each unique PDB sequence (PDB_full) and also for each unique Swiss-Prot sequence. We generated PSSH2 using HHblits to find similarities between HMMs from PDB and HMMs from UniProt sequences. This dataset contains the Swissprot and PDB data used for generating PSSH2 along with the PSSH2 data itself. This consists of the sequence-to-structure alignments used in Aquaria (aquaria.ws) and also for the Covid19 resource of Aquaria (http://aquaria.ws/covid). <strong>Calculating PSSH2</strong> The main bunch of Swissprot and PDB data was downloaded in February 2020, but incremental updates, especially as related to Covid19 were added until July 2020.<br> Generating PSSH2: We used Uniclust30 from HH-suite, a database of non-redundant UniProt sequence clusters in which the highest pairwise sequence identity between clusters was 30% (http://gwdu111.gwdg.de/~compbiol/uniclust/2018_08/uniclust30_2018_08_hhsuite.tar.gz). The HHblits code and the code for running the calculations was retrieved from git (https://github.com/soedinglab/hh-suite.git and https://github.com/aschafu/PSSH2.git respectively) at the respective time of calculation in the timeframe between February and July 2020. <strong>Evaluating PSSH2</strong> The resulting alignment data was analysed using CATH domain assignments downloaded from /cath/releases/all-releases/v4_2_0/cath-classification-data/ to define correct hits and false hits: The set of query sequences is defined by the CATH non-redundant S40_overlap_60 dataset (ftp://orengoftp.biochem.ucl.ac.uk/cath/releases/all-releases/v4_2_0/non-redundant-data-sets/) The set of all expected hits are all pdb structures containing a domain with the same CATH code if contained in the set of processed sequences (-&gt; all) or only if also contained in the set of non redundant sequences (-&gt; nr40). The set of true positives is defined by sharing the same CATH code up to the level of homology ("CATH") or up to the level of topology ("CAT"). The data was evaluated with respect to false discovery rate (FDR) and recall (true positive rate TPR) by cumulatively considering all hits with an E-value below the threshold ("C") or in bins with an E-value between the threshold and one tenth of the threshold ("B"). This evaluation was carried out for the data obtained in February 2020 (202002) as well as previous data from September 2017 (201709) and has since been repeated for data from October 2020 (202010). The results are collected in PSSH CATH validation.csv.
DOI: 10.5281/zenodo.4290100
title: Multi-temporal Landslide Inventory for the Far-Western region of Nepal

description: The Multi-Temporal Landslide Inventory for the Far-Western region of Nepal datasets comprises 26350 different landslide events digitize in form of polygons from Google Earth satellite imagery interpretation. In Google earth has been used for interpretation 93 different sources for 79 different time slices between 2002 and 2018. The maximum scale of interpretation used is 1:1000, meanwhile the scale of digitalization was constant between 1:800 and 1:2000, resulting in a final visualization scale of 1:1000. All landslides in the inventory have been classified between deep-seated and shallow types (attribute field "Depth") by visual interpretation which have been later corroborated with calculations of the elevation differences within the surface of rupture area of the landslides The dataset comprises 4 different shapefiles: <strong>"LandslideInventory_FarWesternNepal_Pol.shp"</strong>: Shapefile with 26350 Polygon features that bound completely the “zone of depletion” and partially the “zone of accumulation” of each identified landslide. Including completely the surface of rupture and more or less partially the depositional zone of the landslides. Landslide <strong>"LandslideInventory_FarWesternNepal_Points.shp"</strong>: Shapefile with 25639 Point features that approximately correspond with the center of the surface of rupture area, the point location within each landslide has ben extracted automatically with GIS tools using ALOS PALSAR (12.5 m) DEM. <strong>"LandslideInventory_FarWesternNepal_Points_Dated1992_2018.shp"</strong>: Shapefile with 8778 Point features for landslides in the inventory that have been dated within the period 1992-2018 (attribute field "Year". The dating of the landslides has been perform automatically by an own new toolbox in ArcGIS that compare annual Landsat (4-5, 7 and 8), to find sudden vegetation changes within the areas of the digitized landsldies. The tool has an accuracy of 83% to detect annual dates of activation or reactivations of the inventoried landslides. <strong>"LandslideInventory_FarWesternNepal_AOI.shp"</strong>: Shapefile with the Polygon boundary of the landslide inventory Area of Interpretation. All shapefiles are in a UTM projected coordinate system UTM44N (WGS84). This research was funded by the UK Natural Environment Research Council (NERC) and Department for International Development (DFID) as project NE/P000452/1 (LandslideEVO) under the Science for Humanitarian Emergencies and Resilience (SHEAR) program.