cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/mpbbksz2t7.1
title: Berry: A code for the differentiation of Bloch wavefunctions from DFT calculations

description: Density functional calculation of electronic structures of materials is one of the most used techniques in theoretical solid state physics. These calculations retrieve single electron wavefunctions and their eigenenergies. The berry suite of programs amplifies the usefulness of DFT by ordering the eigenstates in analytic bands, allowing the differentiation of the wavefunctions in reciprocal space. It can then calculate Berry connections and curvatures and the second harmonic generation conductivity. The berry software is implemented for two dimensional materials and was tested in hBN and InSe. In the near future, more properties and functionalities are expected to be added.
DOI: 10.17632/vt9gj37ykp.1
title: Birkbeck_Cyber_Trends

description: This dataset contains the monthly trend (count) of major cyber attacks and pertinent alleviation technologies in 36 countries since 2011, as well as relevant features such as the trend of tweets about wars and conflicts, mentions of attacks in research articles, or count of public holidays. The dataset covers 42 cyber attacks and 98 pertinent alleviation technologies. Below, we provide the name format of each feature within the dataset and explain its meaning: 1- ATTACK-COUNTRY: The monthly number of incidents involving the attack type ATTACK in the country COUNTRY. 2- ATTACK-?: The monthly number of incidents involving the attack type ATTACK, where the country is unknown. 3- ATTACK-ALL: The monthly number of incidents involving the attack type ATTACK in all countries (sum). 4- Mentions-ATTACK: The monthly number of mentions for the attack type ATTACK in Elsevier abstracts. 5- WAR/CONFLICT COUNTRY: The monthly number of tweets about wars and political conflicts related to the country COUNTRY. 6- WAR/CONFLICT ALL: The monthly number of tweets about wars and political conflicts related to all countries in the dataset (sum). 7- COUNTRY_holiday: The monthly number of public holidays in the country COUNTRY. 8- Holidays: The monthly number of public holidays in all countries in the dataset (sum). 9- Solution_PT_Mentions: The monthly number of mentions for the pertinent technology PT in Elsevier abstracts. Note: Each country is referred to using its country code (e.g., GB refers to the United Kingdom).
DOI: 10.17632/mtj7f3bspg.1
title: Simultaneous versus Sequential Transcatheter Arterial Chemoembolization Combined with Microwave Ablation for Unresectable Hepatocellular Carcinoma: A Retrospective Propensity Score–Matched Analysis

description: After propensity scoring, we screened 76 liver cancer patients who received transcatheter arterial chemoembolization (TACE) combined with microwave ablation treatment, including a simultaneous treatment group of 36 cases and a sequential treatment group of 40 cases. Simultaneous TACE and MWA combination therapy is usually completed in the first hospital cycle with treatment intervals of 1–3 days. Patients in the sequential treatment group usually undergo 1–3 palliative TACE treatments before microwave ablation. These raw data include patient age, gender, tumor characteristics, liver function before and after treatment, short-term tumor response, as well as time to progression and overall survival time.
DOI: 10.17632/pmbc875pr7.1
title: Potato Disease Recognition Dataset

description: 1. Potatoes provide nutrition, along with rice and wheat. Additionally, potatoes are easily digestible as a food. Potatoes contain a good amount of dietary energy. Moreover, they also contain vitamins and mineral salts. Potatoes can be used to prepare various delicious dishes, including sweets, semai, and various types of bhartas. In addition to eating curry, housewives and girls can benefit financially by processing and selling chips. 2. Potato is the most popular vegetable among Indians. Its role in food and nutrition is unparalleled. Due to the widespread cultivation and use of potatoes in the past year, there has been an increase in potato production. Potatoes are susceptible to various diseases at different times. Among them, some notable diseases have been discussed in this potato dataset. 3. Diseases in crops pose a significant challenge to agricultural production, impacting the quality and productivity of the crops. Due to environmental factors, diseases in crops can have adverse effects on both yield and quality. For instance, potato diseases can negatively impact the yield and quality of potatoes, leading to significant economic losses for farmers. Traditional methods of identifying and managing crop diseases are often time-consuming, labor-intensive, inefficient, and subjective. 4. Such classification and identification tasks have been a promising area for computer vision in recent years. 5. A large dataset of five different potato classes—Healthy Potato, Blackspot Bruising Disease, Soft Rot Disease, Brown Rot Disease, and Dry Rot Disease—is shown in order to create machine vision-based algorithms. 6. In this dataset, there are 495 original images of potatoes. Then, in order to increase the number of data points, shifting, flipping, zooming, shearing, brightness enhancement, and rotation techniques are used to create a total of 3465 augmented images from these original images.
DOI: 10.17632/2v65tjzt5k.1
title: ChatGPT responses to questions about medication adverse effects

description: ChatGPT responses to queries about common adverse effects of medications commonly prescribed in dermatology
DOI: 10.17632/2v65tjzt5k.2
title: ChatGPT responses to questions about medication adverse effects

description: ChatGPT responses to queries about common adverse effects of medications commonly prescribed in dermatology
DOI: 10.17632/s2sw4ck42n.1
title: BRON CVE/CWE subset 02/08/2022

description: A limited subset of the BRON data hosted on http://bron.alfa.csail.mit.edu/info.html using the ArangoDB API retrieved on 02/08/2022 for the purposes of machine learning supported cybersecurity prediction tasks. Note that this is not representative of the original state of BRON and does not claim to be a substitute, only a reflection of what exact data was utilised in a specific set of experiments involving CVE (https://www.cve.org/) and CWE (https://cwe.mitre.org/) entries fetched directly from BRON. This data is in a JSON format consisting of a dictionary two keys: 'nodes' and 'edges'. The former contains a list mapping IDs to CVE and CWE entries alongside the description text used to to create embeddings. The 'edges' key contains a list of links between all the included entries. No original contributions or modifications have been made to the content of this data, this is a selection of data retrieved from separate dataset.
DOI: 10.17632/8df3yh22g9.1
title: French Comic

description: Supplementary material - MeLA study
DOI: 10.17632/f6zgsyzsf2.1
title: Association between a polygenic lipodystrophy genetic risk score and diabetes risk in the high prevalence Maltese population
DOI: 10.17632/h9fybyjzfm.1
title: Coding agenda

description: Coding agenda for MeLA data
DOI: 10.17632/pp299sswwn.1
title: Data from: Ratcheted unidirectional transport and sequential assembly of the yeast telomerase RNP

description: This dataset includes the original images for Spot tests, Western blots, Southern blot and In vitro telomerase assays, as well as the raw data for qPCR and smFISH analyses used in the paper ''Ratcheted unidirectional transport and sequential assembly of the yeast telomerase RNP''. 

The telomerase ribonucleoprotein particle (RNP) replenishes telomeric DNA and minimally requires an RNA component and a catalytic protein subunit. However, telomerase RNP maturation is an intricate process occurring in several subcellular compartments and is incompletely understood. Here, we report how the co-transcriptional association of key telomerase components and nuclear export factors leads to an export-competent, but inactive, RNP. Export is dependent on the 5’-cap, the 3’-extension of unprocessed telomerase RNA, and protein associations. Once the RNP reaches the cytoplasm, an extensive protein swap occurs, the RNA is trimmed to its mature length and the essential catalytic Est2 protein joins the RNP. This mature and active complex is then reimported into the nucleus as its final destination and last processing steps. The irreversible processing events on the RNA thus support a ratchet-type model of telomerase maturation, with only a single nucleo-cytoplasmic cycle that is essential for the assembly of mature telomerase.
DOI: 10.17632/pp299sswwn.2
title: Data from: Ratcheted unidirectional transport and sequential assembly of the yeast telomerase RNP

description: This dataset includes the original images for Spot tests, Western blots, Southern blot and In vitro telomerase assays, as well as the raw data for qPCR and smFISH analyses used in the paper ''Ratcheted unidirectional transport and sequential assembly of the yeast telomerase RNP''. The telomerase ribonucleoprotein particle (RNP) replenishes telomeric DNA and minimally requires an RNA component and a catalytic protein subunit. However, telomerase RNP maturation is an intricate process occurring in several subcellular compartments and is incompletely understood. Here, we report how the co-transcriptional association of key telomerase components and nuclear export factors leads to an export-competent, but inactive, RNP. Export is dependent on the 5’-cap, the 3’-extension of unprocessed telomerase RNA, and protein associations. Once the RNP reaches the cytoplasm, an extensive protein swap occurs, the RNA is trimmed to its mature length and the essential catalytic Est2 protein joins the RNP. This mature and active complex is then reimported into the nucleus as its final destination and last processing steps. The irreversible processing events on the RNA thus support a ratchet-type model of telomerase maturation, with only a single nucleo-cytoplasmic cycle that is essential for the assembly of mature telomerase.
DOI: 10.17632/fm7cg3z3fj.1
title: Noise Signature Identification (Ambient Sounds in the University of South Florida, EBII)

description: We recorded the ambient sound of several rooms of the Engineering Building II of the University of South Florida. After filtering the sample to isolate ambi- ent noise, we trained the system using both binary classification -whether or not an audio sample belonged to a specific room- and multi-class classification, which room out of the 19 possible rooms, hallways, entries, and meeting spaces does the audio sample belong to. These files contain the ARFF files used to train and test the models in Weka (https://www.cs.waikato.ac.nz/ml/weka/). They are separated by rooms to the Binary classification, except one for the Multiclass classification.
DOI: 10.17632/fm7cg3z3fj.2
title: Noise Signature Identification (Ambient Sounds in the University of South Florida, EBII)

description: We recorded the ambient sound of several rooms of the Engineering Building II of the University of South Florida. After filtering the sample to isolate ambient noise, we trained the system using both binary classification -whether or not an audio sample belonged to a specific room- and multi-class classification, which room out of the 19 possible rooms, hallways, entries, and meeting spaces does the audio sample belong to. These files contain the ARFF files used to train and test the models in Weka (https://www.cs.waikato.ac.nz/ml/weka/). They are separated by rooms to the Binary classification, except one for the Multiclass classification.
DOI: 10.17632/3kxjg2bdns.1
title: VRS

description: VRS dataset
DOI: 10.17632/vr3zwxbc54.1
title: Lipid biomarkers in hydrothermal iron oxides (oxyhydroxides) of the Indian Ocean Ridge

description: Implications of lipid biomarkers for geochemical conditions in hydrothermal iron oxides (oxyhydroxides) of the Indian Ocean Ridge-supplemental information.
DOI: 10.17632/bphpyk6wvv.1
title: NON-STATE PENSION FUNDS

description: NON-STATE PENSION FUNDS
DOI: 10.17632/t39k2yjc24.1
title: Assessing the effect of green financing on inclusive growth: Evidence from Ghana

description: This paper examines whether green financing creates inclusive growth in Ghana. Quantitative time series data spanning 1990 to 2020 were gathered from secondary sources. Secondary data gathered from World development index, UNDP, UNEP, and IEA were used to establish the link between green financing and inclusive growth in Ghana. CO2 emissions per capita and renewable energy as percentage of total primary energy were used as proxies for green financing whilst human development index, education and life expectancy were used as proxies for inclusive growth. The ARDL techniques were adopted to analyse the data. The study finds that clean energy, CO2 emission reductions and education do not create inclusive growth in Ghana in the short-run. Improvement in the human development index and life expectancy creates inclusive growth both in the short and long run. The study demonstrates that education without appropriate skills and employment avenues would not reduce poverty and spurs on inclusive growth. Purposive sampling approach and desk survey method were adopted to gather the data from the World Bank, United Nations, UNDP, IEA, OECD, IMF, GSS, GLSS, and Ghana Multidimensional Poverty documents for the analysis. Explanatory and descriptive techniques were applied to arrive at the conclusions based on the data collected. To situate this study in context, the human development model was used to link the concepts and variables to arrive at a clear conclusion. This econometric model adopted is convenient for any data size (Odhiambo, 2009). Vector auto regression technique is used and the Granger causality model is applied based on the error-correction mechanisms. The paper used ARDL regression and bound test analysis to assess the interconnection between green financing indicators and inclusive growth. The ARDL regression model works by using one or more independent variables to predict the impacts on dependent variable (Kumari & Yadav, 2018). The connection between dependent variable and one or more independent variables were assessed, and since this paper tested for the impact of green finance indicators on inclusive growth, the use of ARDL regression is fit and proper. The econometric model adopted was: INCGROWTH = β0 +β1CO2EM + β2CLENRG + β3EDU + β4LEXP + β5HDI + εi Methodologically, the estimation focus is on how changes in the green financing might affect inclusive growth in Ghana. It is necessary to expatiate the property of time series variables in the ARDL model to determine how well they work with the preferred estimating method before looking at the results. This is usually done using the Unit Root Test.
DOI: 10.17632/bypghymgwb.1
title: Glycosylated queuosines in tRNAs optimize translational rate and post-embryonic growth. Zhao, Ma, Ishiguro, et al.

description: Source data for Figures 2B, 2D, 4E, 7C, and 7D, S2B, S24A.
DOI: 10.17632/hp8gzksjb4.1
title: detecting anomalies in time series

description: detecting anomalies in time series
DOI: 10.17632/kgbc33mc9h.1
title: Supplementary Files: Response to Ørholt et al. – More Data is Needed to Confirm Utility of Screening for Atypical Fibroxanthoma and Pleomorphic Dermal Sarcoma Recurrence

description: Supplementary tables and figure for manuscript entitled 'Response to Ørholt et al. – More Data is Needed to Confirm Utility of Screening for Atypical Fibroxanthoma and Pleomorphic Dermal Sarcoma Recurrence' in the Journal of the American Academy of Dermatology
DOI: 10.6084/m9.figshare.24558415
title: Supplementary Material for: Clinical features, treatment modalities and outcomes of elderly thymoma patients: A propensity–matched study based on the SEER database

description: Introduction: Thymoma is a common mediastinal tumor, but few studies have been performed in thymoma patients 80 years or older. This study aimed to analyze the clinical features, treatment modalities and survival outcomes of thymoma patients at least 80 years old and compare these features to those of patients younger than 80 years old. Method: Data from thymoma patients in the Surveillance, Epidemiology and End Results database between 2000 and 2019 were selected. Clinical features, treatment modalities of the two age groups were compared. Survival rates were calculated by the Kaplan-Meier method and the log-rank test was used to compare survival rates between two groups. Propensity score matching was used based on whether surgery was performed. Univariate and multivariate Cox proportional–hazards regression analyses were performed to identify independent prognostic factors. Results: Compared with the younger patients, the patients aged 80 years or older had a similar distribution of Masaoka–Koga tumor stage, a higher proportion of type A thymoma, and a lower recurrence rate in the early stage. In elderly patients after propensity score matching, the overall survival and cancer–specific survival were better in the surgery group with complete resection and similar benefit from surgery as younger patients were observed. Conclusion: In thymoma patients aged 80 years or older, surgery still plays an important role in survival outcome. Compared with younger patients, older patients had unique clinical features.
DOI: 10.6084/m9.figshare.24558415.v1
title: Supplementary Material for: Clinical features, treatment modalities and outcomes of elderly thymoma patients: A propensity–matched study based on the SEER database

description: Introduction: Thymoma is a common mediastinal tumor, but few studies have been performed in thymoma patients 80 years or older. This study aimed to analyze the clinical features, treatment modalities and survival outcomes of thymoma patients at least 80 years old and compare these features to those of patients younger than 80 years old. Method: Data from thymoma patients in the Surveillance, Epidemiology and End Results database between 2000 and 2019 were selected. Clinical features, treatment modalities of the two age groups were compared. Survival rates were calculated by the Kaplan-Meier method and the log-rank test was used to compare survival rates between two groups. Propensity score matching was used based on whether surgery was performed. Univariate and multivariate Cox proportional–hazards regression analyses were performed to identify independent prognostic factors. Results: Compared with the younger patients, the patients aged 80 years or older had a similar distribution of Masaoka–Koga tumor stage, a higher proportion of type A thymoma, and a lower recurrence rate in the early stage. In elderly patients after propensity score matching, the overall survival and cancer–specific survival were better in the surgery group with complete resection and similar benefit from surgery as younger patients were observed. Conclusion: In thymoma patients aged 80 years or older, surgery still plays an important role in survival outcome. Compared with younger patients, older patients had unique clinical features.
DOI: 10.5281/zenodo.7702042
title: Water vapor isotopic data of heavy rainfall events in Nanjing

description: Water vapor isotopic data of heavy rainfall events in Nanjing
DOI: 10.5281/zenodo.7702043
title: Water vapor isotopic data of heavy rainfall events in Nanjing

description: Water vapor isotopic data of heavy rainfall events in Nanjing
DOI: 10.7925/drs1.duchas_5092850
title: There is a Druid's Altar on Pat Mc Cahill's street of Cornaseea.

description: Story collected by a student at Drom an Mhadaidh school (Drumavaddy, Co. Cavan) (no informant identified).
description: Collected as part of the Schools' Folklore scheme, 1937-1938, under the supervision of teacher S. Ó Murchadha.
description: Supported by funding from the Department of Arts, Heritage and the Gaeltacht (Ireland), University College Dublin, and the National Folklore Foundation (Fondúireacht Bhéaloideas Éireann), 2014-2016.
DOI: 10.7925/drs1.duchas_5092851
title: In this forge were made all things in iron then needed...

description: Story collected by a student at Gowna school (Lough Gowna, Co. Cavan) (no informant identified).
description: Collected as part of the Schools' Folklore scheme, 1937-1938, under the supervision of teacher Hugh Murray.
description: Supported by funding from the Department of Arts, Heritage and the Gaeltacht (Ireland), University College Dublin, and the National Folklore Foundation (Fondúireacht Bhéaloideas Éireann), 2014-2016.
DOI: 10.7925/drs1.duchas_5092852
title: Weather-Lore

description: Story collected by Caitlín Ní Eachaidh, a student at Drumbrade school (Drumbrade, Co. Cavan) from informant Mr Frank Mc Caughey.
description: Collected as part of the Schools' Folklore scheme, 1937-1938, under the supervision of teacher S. Mac Gabhann.
description: Supported by funding from the Department of Arts, Heritage and the Gaeltacht (Ireland), University College Dublin, and the National Folklore Foundation (Fondúireacht Bhéaloideas Éireann), 2014-2016.
DOI: 10.7925/drs1.duchas_5092853
title: Leprechaun

description: Story collected by Edward Gaffney, a student at Garrysallagh school (Garrysallagh (O'Reilly), Co. Cavan) from informant Marcella Finneagan.
description: Collected as part of the Schools' Folklore scheme, 1937-1938, under the supervision of teacher P. Greally.
description: Supported by funding from the Department of Arts, Heritage and the Gaeltacht (Ireland), University College Dublin, and the National Folklore Foundation (Fondúireacht Bhéaloideas Éireann), 2014-2016.
DOI: 10.7925/drs1.duchas_5092854
title: Weather-Lore

description: Story collected by Leslie Gordon, a student at Baile Mhic Aodha (Ballymachugh) school (Ballymachugh, Co. Cavan) (no informant identified).
description: Collected as part of the Schools' Folklore scheme, 1937-1938, under the supervision of teacher S. Ní Dhuinnín.
description: Supported by funding from the Department of Arts, Heritage and the Gaeltacht (Ireland), University College Dublin, and the National Folklore Foundation (Fondúireacht Bhéaloideas Éireann), 2014-2016.
DOI: 10.7925/drs1.duchas_5092856
title: Tommy Bradley who died ten years ago at the age of 85 was the best carpenter this district ever knew.

description: Story collected by a student at Gowna school (Lough Gowna, Co. Cavan) (no informant identified).
description: Collected as part of the Schools' Folklore scheme, 1937-1938, under the supervision of teacher Hugh Murray.
description: Supported by funding from the Department of Arts, Heritage and the Gaeltacht (Ireland), University College Dublin, and the National Folklore Foundation (Fondúireacht Bhéaloideas Éireann), 2014-2016.
DOI: 10.7925/drs1.duchas_5092857
title: Severe Weather

description: Story collected by Máire A. Ní Gealagáin, a student at Drumbrade school (Drumbrade, Co. Cavan) from informant Mr Peter Galligan.
description: Collected as part of the Schools' Folklore scheme, 1937-1938, under the supervision of teacher S. Mac Gabhann.
description: Supported by funding from the Department of Arts, Heritage and the Gaeltacht (Ireland), University College Dublin, and the National Folklore Foundation (Fondúireacht Bhéaloideas Éireann), 2014-2016.
DOI: 10.7925/drs1.duchas_5092858
title: The greatest combination in a farmer's cart was a McGrath...

description: Story collected by a student at Gowna school (Lough Gowna, Co. Cavan) (no informant identified).
description: Collected as part of the Schools' Folklore scheme, 1937-1938, under the supervision of teacher Hugh Murray.
description: Supported by funding from the Department of Arts, Heritage and the Gaeltacht (Ireland), University College Dublin, and the National Folklore Foundation (Fondúireacht Bhéaloideas Éireann), 2014-2016.