cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.20101922.v1
title: Analysis of eRF1, UPF1/2 and tRNAs in ciliate genomes

description: <strong>Analysis of genetic code, eRF1 and presence of UPF proteins in ciliates.</strong> Genomes and transcriptomes of ciliates were retrieved from NCBI and EukProt. Schematic phylogenetic tree is based on 18S phylogenetic analyses performed previously (Boscaro et al. 2018, Lian et al. 2020, Tsai et al. 2022). Major ciliate clades are depicted next to species names. Dataset shows the kind of data used for particular species as explained above the figure. Genetic code was retrieved from NCBI Taxonomy database (https://www.ncbi.nlm.nih.gov/taxonomy) and/or from a previous study (Swart et al. 2016). In genomic datasets, all tRNAs were predicted by Aragorn (Laslett and Canback 2004) with default settings. Presence of stop-codon recognizing tRNAs is marked by “+”, while their absence by “-“; unknown presence in other datasets is marked by “?”. eRF1 and UPF proteins were identified by BLAST 2.11.0+ (Altschul et al 1990), number indicates the count of homologues.
DOI: 10.34808/8vdk-tp57
title: Monitoring of activities carried out as part of prototyping and implementation of the pilot project in the area of the "Polanki" market and its direct neighbourhood, in the Gdańsk-Oliwa district, step2;  stage from  May 2021 year.

description: The data presents tabular monitoring lists (quantitative and qualitative documentation report in the form of tables) of activities carried out as part of prototyping and implementation of the pilot project in the area of the Polanki market and its immediate vicinity in the Gdańsk-Oliwa district in 2021 year - step 2, stage from May 2021.The monitoring of the Market covers the spatial,functional and analysis of use by residents. Monitoring was carried out systematically from May 2021 to November 2021 (excluding this month).The monitoring took place under the conditions of restrictions and limitations related to the COVID 19 pandemic. The monitoring was carried out through in situ visits with the use of the Monitoring Card. Monitoring documentation was supplemented with photo documentation. Monitoring is the basis for subsequent analyzes used in the implementation of the pilot project of the “Polanki” Market and the marketplace regeneration strategy prepared under the Gospostrateg project.
DOI: 10.25919/pdwc-9j04
title: Parkes observations for project P1153 semester 2022APRS_06

description: The ThunderKAT and MeerTRAP teams at the MeerKAT radio telescope have discovered a slow, pulsating radio source in the image and time domain data. We estimate a best fit period P = 75.88 s and period derivative Pdot = 2.9 x 10^-13 s/s. The source is seen to lie in the P-Pdot pulsar parameter phase space "death valley" where radio emission from neutron stars is not expected according to models in the literature. Single pulse analysis of MeerKAT data in the L- and UHF-bands reveals remarkable and unusual spectro-temporal properties, quite unlike anything seen in known radio neutron stars, with some pulses showing quasi-periodic sub-pulse components. We request 9 hours in the April 2022 semester to utilise the excellent ultra wide-band sensitivity of Parkes to study the pulse shape evolution and spectro-tempo-polarimetric properties of the source, probe the broadband nature and evolution of the sub-pulse components, and investigate any radius-to-frequency mapping, allowing us to characterise and/or distinguish it from other types of known neutron stars.
DOI: 10.6084/m9.figshare.19778926
title: Supplementary Material for: Measurement of body composition in pancreatic cancer: a systematic review, meta-analysis and recommendations for future study design.

description: Background/Objectives: Sarcopenia in pancreatic cancer may increase the risk of chemotherapy-related toxicity and post-operative morbidity. This systematic review and meta-analysis aimed to quantify the prevalence of sarcopenia in early stage pancreatic cancer. Methods: Relevant studies were identified using Ovid Medline and Elsevier Embase. Pooled estimates of prevalence rates (percentages) and corresponding 95% confidence interval (CI) were computed using a random-effects model to allow for heterogeneity between studies. Results: The majority of the thirty-three studies (n=5593 patients) included in this meta-analysis utilised computed tomography (CT)-derived measures for body composition assessment in patients undergoing pancreatic resection. Reported prevalence of sarcopenia varied between 14 and 74 %, and the pooled prevalence was 39% (95% CI 38- 40%) Heterogeneity was considerable however (I² 93%) and did not improve significantly when controlling for assessment method, and use of pre-defined cut-offs for sarcopenia, limiting potential to evaluate the true impact of sarcopenia. Conclusion: The ready availability of sequential CT offers a valuable opportunity for body composition assessment, but the quality of assessment and interpretation must improve before the impact of body composition on treatment-related outcomes and survival can be assessed. We suggest recommendations for the assessment of body composition for the design of future studies.
DOI: 10.25578/zv8cqk/dcgkyb
title: README.md

description: readme
DOI: 10.25578/zv8cqk/hfjnsm
title: EVN_dyn_Japan2_12000_EV1.tab

description: :unav
DOI: 10.25578/zv8cqk/bkra3f
title: IBRH161708020202.R2.sac.asc

description: :unav
DOI: 10.25578/zv8cqk/ei9jgx
title: k_elemu.m

description: :unav
DOI: 10.25578/zv8cqk/pmwmkj
title: Matrices.mat

description: :unav
DOI: 10.25578/zv8cqk/extewg
title: m_elemu.m

description: :unav
DOI: 10.25578/zv8cqk/tvhm1t
title: Newmark_Linear.m

description: :unav
DOI: 10.25578/zv8cqk/tzgh09
title: amatrix.m

description: :unav
DOI: 10.25578/zv8cqk/hayblp
title: MAIN_ExampleFrancoetal2022CS.m

description: :unav
DOI: 10.25578/zv8cqk/vbt6nm
title: Licence.txt

description: licence
DOI: 10.25578/zv8cqk/z7uy5y
title: mainvar.mat

description: :unav
DOI: 10.25578/zv8cqk
title: HBFEM

description: The HBFEM model is a finite element formulation of an existing enriched beam model obtained by applying homogenization to periodic frame structures. This model can be used to study the dynamic behavior of regular buildings. The construction of this numerical formulation, which includes three degrees of freedom at each node, is well detailed in (Franco et al., 2022).
DOI: 10.6084/m9.figshare.19982726.v1
title: The planted forests, natural forests, and open lands data

description: The pixels that did not experience changes in land cover types between 2000 and 2010 were then extracted by comparing the results from the two years, to understand the spatiotemporal patterns of the potential afforestation. This hypothetical forest change is not really happening, but is based on changes in the 5 × 5 km sample grid cells of types including NF, CR, GR, and PF that have not changed for 2000-2010.
DOI: 10.6084/m9.figshare.20068229
title: Table 1: Individual metadata for all participating individuals

description: Individual metadata for all participating individuals (gender, age, clinical score, ABO type, Rhesus (Rh) type, HLA-type) of each participating individual and results of the genotyping for the prothrombotic mutations Factor V Leiden (FVL) and Prothrombin G20210A (prothrombin). The genotype is defined as WT = wildtype, hom = homozygous and het = heterozygous
DOI: 10.6084/m9.figshare.20068229.v2
title: Table 1: Individual metadata for all participating individuals

description: Individual metadata for all participating individuals (gender, age, clinical score, ABO type, Rhesus (Rh) type, HLA-type) of each participating individual and results of the genotyping for the prothrombotic mutations Factor V Leiden (FVL) and Prothrombin G20210A (prothrombin). The genotype is defined as WT = wildtype, hom = homozygous and het = heterozygous
DOI: 10.6084/m9.figshare.20068229.v1
title: Individual metadata for all participating individuals

description: Individual metadata for all participating individuals (gender, age, clinical score, ABO type, Rhesus (Rh) type, HLA-type) of each participating individual and results of the genotyping for the prothrombotic mutations Factor V Leiden (FVL) and Prothrombin G20210A (prothrombin). The genotype is defined as WT = wildtype, hom = homozygous and het = heterozygous
DOI: 10.6084/m9.figshare.20105600
title: Concealed Pistol Detection Dataset

description: The dataset consists of 2 categoris of thermal images of people having a concealed pistol and not. It can be used for computer vision experiments aiming concealed dangerous object detection
DOI: 10.6084/m9.figshare.20068868
title: Table 2: SNPs per patient and zygosity information

description: SNPs per patient and zygosity information (0: homozygous for the reference, 1: heterozygous, 2: homozygous for the alternate)
DOI: 10.6084/m9.figshare.20068868.v2
title: Table 2: SNPs per patient and zygosity information

description: SNPs per patient and zygosity information (0: homozygous for the reference, 1: heterozygous, 2: homozygous for the alternate)
DOI: 10.6084/m9.figshare.20068868.v1
title: SNPs per patient and zygosity information

description: SNPs per patient and zygosity information (0: homozygous for the reference, 1: heterozygous, 2: homozygous for the alternate)
DOI: 10.21227/14bd-9d42
title: Insecticidal Counting Dataset based on Solar Insecticidal Lamp

description: For the research field on monitoring and early warning of crop diseases and insect pests, an accurate forecast can greatly reduce the application amount of pesticides. In this dataset, a professional device, i.e., Solar Insecticidal Lamp, was modified, so that the collected data from it can accurately reflect the quantity of pest being killed. There are six parts in the dataset including time, voltage data, sound data, insecticidal status, abnormal value, and insecticidal quantity. The dataset can be used for a variety of purposes related to the field of smart phytoprotection and computer science.
DOI: 10.5281/zenodo.6615684
title: Impact of the COVID-19 pandemic on academic productivity

description: This data set was used to analyse changes in academic productivity due to the COVID-19 pandemic. Here we describe how those data were collected. We downloaded the arXiv dataset hosted by Kaggle on 2022 June 6. This dataset is a JSON file (named `arxiv-metadata-oai-snapshot.json`) compressed into a zip file. We extracted this file and then executed `process.py` to create the following three files: - `metadata.json`: titles, abstract, and affiliations of authors - `authors.json`: author names - `records.csv`: arXiv identifier, categories, number of authors and affiliations, abstract length We excluded pre-prints from 2022 June when processing files. The `process.py` script also adds a 'dummy' line to the `records.csv` to make Python load arXiv identifiers as strings. These three files (`metadata.json`, `authors.json`, and `records.csv`) were used for this analysis.
DOI: 10.5281/zenodo.6615683
title: Impact of the COVID-19 pandemic on academic productivity

description: This data set was used to analyse changes in academic productivity due to the COVID-19 pandemic. Here we describe how those data were collected. We downloaded the arXiv dataset hosted by Kaggle on 2022 June 6. This dataset is a JSON file (named `arxiv-metadata-oai-snapshot.json`) compressed into a zip file. We extracted this file and then executed `process.py` to create the following three files: - `metadata.json`: titles, abstract, and affiliations of authors - `authors.json`: author names - `records.csv`: arXiv identifier, categories, number of authors and affiliations, abstract length We excluded pre-prints from 2022 June when processing files. The `process.py` script also adds a 'dummy' line to the `records.csv` to make Python load arXiv identifiers as strings. These three files (`metadata.json`, `authors.json`, and `records.csv`) were used for this analysis.
DOI: 10.5281/zenodo.6673737
title: Predicting compound-protein interaction using hierarchical graph convolutional networks

description: This repository contains the datasets which are used in the article "Predicting Compound-Protein Interaction using Hierarchical Graph Convolutional Networks".
DOI: 10.5281/zenodo.6673736
title: Predicting compound-protein interaction using hierarchical graph convolutional networks

description: This repository contains the datasets which are used in the article "Predicting Compound-Protein Interaction using Hierarchical Graph Convolutional Networks".
DOI: 10.6084/m9.figshare.20102231.v1
title: CUBN variants and eGFR association

description: This is a link to summary data files (Main and Supplementary summary results tables) for the "CUBN genetic variants and association with eGFR" study (Uglebjerg et al.).
DOI: 10.6084/m9.figshare.12513482
title: Effectiveness of enteral ivabradine for heart rate control in septic shock: A randomised controlled trial.xlsx

description: patient data
DOI: 10.6084/m9.figshare.12513482.v2
title: Effectiveness of enteral ivabradine for heart rate control in septic shock: A randomised controlled trial.xlsx

description: patient data
DOI: 10.6084/m9.figshare.12513482.v1
title: Data - IRISS.xlsx

description: patient data
DOI: 10.5281/zenodo.6673822
title: Viral Communication: Trajectories of Experience through the Pandemic - A Qualitative Longitudinal Dataset

description: Here, we present a dataset collected within a longitudinal interview study that has been conducted as part of a larger project (i.e., Viral Communication), exploring (changing) public attitudes and behaviours through the course of the pandemic in Germany. From a nationally representative survey, forty participants were purposively sampled on the basis of gender, age and socioeconomic status for the interviews. Each participant was interviewed three times within a 10 month time frame (between December 2020 and September 2021), with the exception of two dropouts from the study. The semi-structured interviews were developed to further elaborate on some of the responses in the survey instrument and to provide additional insights into topics and controversies surrounding the Covid-19 pandemic in Germany, such as information/misinformation, trust/distrust, compliance, vaccination, and conspiracy beliefs. Interviews Phase I (December 2020): 40 Interviews Interviews Phase II (April 2021): 38 Interviews Interviews Phase III (September 2021): 38 Interviews
DOI: 10.5281/zenodo.6673833
title: Viral Communication: Trajectories of Experience through the Pandemic - A Qualitative Longitudinal Dataset

description: Here, we present a dataset collected within a longitudinal interview study that has been conducted as part of a larger project (i.e., Viral Communication), exploring (changing) public attitudes and behaviours through the course of the pandemic in Germany. From a nationally representative survey, forty participants were purposively sampled on the basis of gender, age and socioeconomic status for the interviews. Each participant was interviewed three times within a 10 month time frame (between December 2020 and September 2021), with the exception of two dropouts from the study. The semi-structured interviews were developed to further elaborate on some of the responses in the survey instrument and to provide additional insights into topics and controversies surrounding the Covid-19 pandemic in Germany, such as information/misinformation, trust/distrust, compliance, vaccination, and conspiracy beliefs. Interviews Phase I (December 2020): 40 Interviews Interviews Phase II (April 2021): 38 Interviews Interviews Phase III (September 2021): 38 Interviews
DOI: 10.5281/zenodo.5556052
title: Viral Communication: Trajectories of Experience through the Pandemic - A Qualitative Longitudinal Dataset

description: Here, we present a dataset collected within a longitudinal interview study that has been conducted as part of a larger project (i.e., Viral Communication), exploring (changing) public attitudes and behaviours through the course of the pandemic in Germany. From a nationally representative survey, forty participants were purposively sampled on the basis of gender, age and socioeconomic status for the interviews. Each participant was interviewed three times within a 10 month time frame (between December 2020 and September 2021), with the exception of two dropouts from the study. The semi-structured interviews were developed to further elaborate on some of the responses in the survey instrument and to provide additional insights into topics and controversies surrounding the Covid-19 pandemic in Germany, such as information/misinformation, trust/distrust, compliance, vaccination, and conspiracy beliefs. Interviews Phase I (December 2020): 40 Interviews Interviews Phase II (April 2021): 38 Interviews Interviews Phase III (September 2021): 38 Interviews
DOI: 10.5281/zenodo.6673651
title: Supplementary Information: Human populations in the world's mountains: spatio-temporal patterns and potential controls

description: Supplementary Information (data, code, figures) for "Human populations in the world’s mountains: spatio-temporal patterns and potential controls" (Thornton et al., 2022)
description: Funded by Swiss Agency of Development and Cooperation (SDC) under the Adaptation at Altitude Programme.
DOI: 10.5281/zenodo.5579800
title: Supplementary Information: Human populations in the world's mountains: spatio-temporal patterns and potential controls

description: Supplementary Information (data, code, figures) for "Human populations in the world’s mountains: spatio-temporal patterns and potential controls" (Thornton et al., 2022)
description: Funded by Swiss Agency of Development and Cooperation (SDC) under the Adaptation at Altitude Programme.
DOI: 10.6084/m9.figshare.17151263
title: BEF-China

description: Mycorrhizae are symbiotic associations between terrestrial plants and fungi in which fungi obtain nutrients in exchange for plant photosynthates. However, it remains unclear how different types of mycorrhizae affect their host interactions and productivity. Utilizing a long-term experiment with a diversity gradient of arbuscular (AM) - and ectomycorrhizal (EcM) trees, here we show that the type of mycorrhizae critically controls the effect of diversity on productivity. With increasing diversity, net primary production (NPP) of AM trees increased but EcM trees decreased, largely because AM trees are more effective in acquiring nitrogen and phosphorous. Specifically, with diversity increase, AM trees enhance both nutrient resorption and litter decomposition, while there is a tradeoff between litter decomposability and nutrient resorption in EcM trees. These results provide a mechanistic understanding of why and how AM trees dominate in vast tropical and subtropical forests, which would enable better prediction of ecosystem productivity in changing climates.
DOI: 10.6084/m9.figshare.17151263.v2
title: BEF-China

description: Mycorrhizae are symbiotic associations between terrestrial plants and fungi in which fungi obtain nutrients in exchange for plant photosynthates. However, it remains unclear how different types of mycorrhizae affect their host interactions and productivity. Utilizing a long-term experiment with a diversity gradient of arbuscular (AM) - and ectomycorrhizal (EcM) trees, here we show that the type of mycorrhizae critically controls the effect of diversity on productivity. With increasing diversity, net primary production (NPP) of AM trees increased but EcM trees decreased, largely because AM trees are more effective in acquiring nitrogen and phosphorous. Specifically, with diversity increase, AM trees enhance both nutrient resorption and litter decomposition, while there is a tradeoff between litter decomposability and nutrient resorption in EcM trees. These results provide a mechanistic understanding of why and how AM trees dominate in vast tropical and subtropical forests, which would enable better prediction of ecosystem productivity in changing climates.
DOI: 10.6084/m9.figshare.17151263.v1
title: BEF-China

description: Nutrient resorption and litter decomposition recycle about 90% of nitrogen (N) for plant growth. Plants benefit from mycorrhizal symbiosis to enhance their nutrient access. When competition intensifies, whether mycorrhizal plants can adjust the trade-off between nutrient resorption and litter decomposition to optimize their N supply remains unresolved. We studied nutrient strategies of arbuscular mycorrhizal (AM) and ectomycorrhizal (EcM) trees in a subtropical forest diversity experiment, where the two mycorrhizal types were evenly planted in mixtures of 2, 4, 8 or 16 tree species. We found that net primary production (NPP) of EcM sub-communities declined but NPP of AM sub-communities increased with tree species richness. Tree species richness reduced nutrient resorption efficiency (NRE) of EcM trees, which increased leaf litter N concentration and thus its decomposition. However, by reducing the lignin concentration of leaf litter and increasing the richness of saprophytic fungi, tree species richness promoted NRE and litter decomposition for AM sub-communities. This demonstrates that AM trees are more effective in maintaining their N supply than EcM trees with increasing diversity, suggesting a new mechanism to explain the dominance of AM trees in high-diversity subtropical forests.<b></b>
DOI: 10.6084/m9.figshare.19982726.v3
title: The no change planted forests, natural forests, and open lands data in 2000-2010

description: The pixels that did not experience changes in land cover types between 2000 and 2010 were then extracted by comparing the results from the two years, to understand the spatiotemporal patterns of the potential afforestation. This hypothetical forest change is not really happening, but is based on changes in the 5 × 5 km sample grid cells of types including NF, CR, GR, and PF that have not changed for 2000-2010. The distributions of PF, NF, and open land (CR and GR) areas in 2000 and 2010 in Guangdong Province were identified from two 30m land cover datasets: SGB-NDVI-based forest and non-forest (FNF) time series maps (Shen et al., 2019a) and GlobeLand30 data product (Chen et al., 2015). <br>
DOI: 10.6084/m9.figshare.19982726.v2
title: The no change planted forests, natural forests, and open lands data in 2000-2010

description: The pixels that did not experience changes in land cover types between 2000 and 2010 were then extracted by comparing the results from the two years, to understand the spatiotemporal patterns of the potential afforestation. This hypothetical forest change is not really happening, but is based on changes in the 5 × 5 km sample grid cells of types including NF, CR, GR, and PF that have not changed for 2000-2010.