cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.48428/adattar/uuxm4d
title: Supporting data: The fasta file and partition file generated by aligning the mined RAD loci from the Falco biarmicus whole genome to the variable RAD loci in our RADseq analysis of Falco cherrug.

description: To explicitly root our phylogenetic tree, we mined our RAD loci’s homologous genomic bits from the publicly available reference genome of Falco peregrinus (assembly: GCA_001887755) and Falco biarmicus (assembly: GCA_023638135). These are explicit outgroup samples for the phylogenetic analyses of relationships between populations of Falco cherrug and Falco rusticolus. F. peregrinus is a distant outgroup, whereas F. biarmicus is a close outgroup from the Hierofalcon group. The RAD loci sequences with observed heterozygosity of &lt; 0.05 and zero missingness (i.e. present in all individuals) were recovered with Stacks, and then checked for polymorphic sites. Loci containing at least one polymorphic site (n = 422) were subject to consensus sequence generation using the EMBOSS tool consambig. Loci sequences were matched against the reference genome of Falco biarmicus using blastn v. 2.5.0 with an expected e-value of 1e-25. The genomic region with the highest score was retained and aligned with RAD loci sequences using MUSCLE v. 3.8. Alignments of loci were concatenated with AMAS.py. The resulting fasta and partition files were used in this dataset's downstream analyses, where we used F. peregrinus as the outgroup sample.
DOI: 10.57841/casdc.0003074
title: 尼龙自润滑性与表面织构协同作用对HDPE基水润滑轴承摩擦磨损性能的影响
DOI: 10.6084/m9.figshare.24512749.v5
title: tweets_2022_05.csv

description: description
DOI: 10.6084/m9.figshare.24512749.v6
title: tweets_2022_05.csv

description: description
DOI: 10.5281/zenodo.10076088
title: Sample tweets from May 2022

description: Dataset containing twitter data, namely hashed twitter id, hashed user id, tweet language, user statistics.
DOI: 10.5281/zenodo.10076127
title: Sample tweets from May 2022

description: Dataset containing twitter data, namely hashed twitter id, hashed user id, tweet language, user statistics.
DOI: 10.5281/zenodo.10076132
title: Sample tweets from May 2022

description: Dataset containing twitter data, namely hashed twitter id, hashed user id, tweet language, user statistics.
DOI: 10.5281/zenodo.10076143
title: Sample tweets from May 2022

description: Dataset containing twitter data, namely hashed twitter id, hashed user id, tweet language, user statistics.
DOI: 10.5281/zenodo.8412998
title: Sample tweets from May 2022

description: Dataset containing twitter data, namely hashed twitter id, hashed user id, tweet language, user statistics
DOI: 10.6084/m9.figshare.24512665
title: Sample tweets from May 2022 v5

description: Dataset containing twitter data, namely hashed twitter id, hashed user id, tweet language, user statistics
DOI: 10.5281/zenodo.10048253
title: Sample tweets from May 2022

description: Dataset containing twitter data, namely hashed twitter id, hashed user id, tweet language, user statistics.
DOI: 10.5281/zenodo.10076115
title: Sample tweets from May 2022

description: Dataset containing twitter data, namely hashed twitter id, hashed user id, tweet language, user statistics.
DOI: 10.5281/zenodo.10076124
title: Sample tweets from May 2022

description: Dataset containing twitter data, namely hashed twitter id, hashed user id, tweet language, user statistics.
DOI: 10.5281/zenodo.10076173
title: Sample tweets from May 2022

description: Dataset containing twitter data, namely hashed twitter id, hashed user id, tweet language, user statistics.
DOI: 10.5281/zenodo.10076208
title: Sample tweets from May 2022

description: Dataset containing twitter data, namely hashed twitter id, hashed user id, tweet language, user statistics.
DOI: 10.5281/zenodo.10077718
title: Sample tweets from May 2022

description: Dataset containing twitter data, namely hashed twitter id, hashed user id, tweet language, user statistics.
DOI: 10.5281/zenodo.10077721
title: Sample tweets from May 2022

description: Dataset containing twitter data, namely hashed twitter id, hashed user id, tweet language, user statistics.
DOI: 10.5281/zenodo.10077665
title: PTMoreR: a motif-centric analysis enabling cross-species PTM mapping and comparative phosphoproteomics across mammals

description: Supplementary Table S1-S6 for PTMoreR
Table S1. The 115,179 and 42,997 phosphorylation sites (P-sites) for human and mouse phosphoproteomes obtained from two recent large-scale studies (1,2). Two sheet names here are marked as "Human.identified" and "Mouse.identified" respectively.
Table S2. The information and organism identifies for the 129 mammalian species downloaded from UniProt (http://www.uniprot.org/) (3).
Table S3. The phosphorylation expression data and statistical results from 10 common mammalian species (Euarchontoglires (i.e., Human, Rat, Rabbit, Monkey) and Laurasiatheria (i.e., Cow, Horse, Pig, Dog, Cat, Sheep)) (4).
Table S4. The features and the detectability matrix of P-sites in the Human.identified phosphoproteome data across species. Column 1 to 3 are UniProt ID, residue, and P-site position, respectively. Column 4 to 17 are the annotated phosphoproteome features that used in the Figure 2C, Figure 4B, 4E, 4F, Supplementary Figure S4 and S7B-S7C. Column 18 to 146 are the detectability matrix, in which the values are 0 for those sites not mapped in corresponding species and 1 for those mapped. The window similarity scores are >= 8.
Table S5. The GO terms with the BH adjusted P value < 0.01 in one of Q1-Q5 segments and > 0.05 in the other four from the GO enrichment analysis based on corresponding phosphoproteins.
Table S6. The results with BH adjusted P value < 0.01 from the kinase enrichment analysis in each of Q1-Q5 segments.
 
References
1.     Giansanti, P., Samaras, P., Bian, Y., Meng, C., Coluccio, A., Frejno, M., Jakubowsky, H., Dobiasch, S., Hazarika, R.R., Rechenberger, J. et al. (2022) Mass spectrometry-based draft of the mouse proteome. Nat Methods, 19, 803-811.
2.     Ochoa, D., Jarnuczak, A.F., Vieitez, C., Gehre, M., Soucheray, M., Mateus, A., Kleefeldt, A.A., Hill, A., Garcia-Alonso, L., Stein, F. et al. (2020) The functional landscape of the human phosphoproteome. Nat Biotechnol, 38, 365-373.
3.     UniProt, C. (2021) UniProt: the universal protein knowledgebase in 2021. Nucleic Acids Res, 49, D480-D489.
4.     Ba, Q., Hei, Y., Dighe, A., Li, W., Maziarz, J., Pak, I., Wang, S., Wagner, G.P. and Liu, Y. (2022) Proteotype coevolution and quantitative diversity across 11 mammalian species. Sci Adv, 8, eabn0756.
DOI: 10.5281/zenodo.10057457
title: Data for the publication "Higher climate sensitivity and stronger cloud feedbacks in ECHAM6.3 with a prognostic cloud fraction scheme"

description: This repository contains the data for the paper:
"Muench, S., Neubauer, D. and Lohmann, U.: Higher climate sensitivity and stronger cloud feedbacks in ECHAM6.3 with a prognostic cloud fraction scheme"
Each directory contains the model data to reproduce the figures in our paper.
Note that the scripts are to be found in the accompanying package (https://doi.org/10.5281/zenodo.10057465)
DOI: 10.5281/zenodo.10057458
title: Data for the publication "Higher climate sensitivity and stronger cloud feedbacks in ECHAM6.3 with a prognostic cloud fraction scheme"

description: This repository contains the data for the paper:
"Muench, S., Neubauer, D. and Lohmann, U.: Higher climate sensitivity and stronger cloud feedbacks in ECHAM6.3 with a prognostic cloud fraction scheme"
Each directory contains the model data to reproduce the figures in our paper.
Note that the scripts are to be found in the accompanying package (https://doi.org/10.5281/zenodo.10057465)
DOI: 10.34740/kaggle/dsv/6907546
title: Egypt Gold Prices | Daily Updated
DOI: 10.5281/zenodo.10077727
title: Sample tweets from May 2022

description: Dataset containing twitter data, namely hashed twitter id, hashed user id, tweet language, user statistics.
DOI: 10.5281/zenodo.8412997
title: Sample tweets from May 2022

description: Dataset containing twitter data, namely hashed twitter id, hashed user id, tweet language, user statistics.
DOI: 10.5281/zenodo.10077728
title: PROSPECTS OF AUTOMATION OF THE INSURANCE FIELD
DOI: 10.5281/zenodo.10077729
title: PROSPECTS OF AUTOMATION OF THE INSURANCE FIELD
DOI: 10.5281/zenodo.7827864
title: Dataset for "McSnow 2.0: Explicit habit-prediction in a Lagrangian super-particle ice microphysics model"

description: Data and plot scripts to create figures included in the paper draft "McSnow 2.0: Explicit habit-prediction in a Lagrangian super-particle ice microphysics model" (submitted to GMD). Script and data for Figures 1,2 and A1 are not provided since they use unpublished data from McCorquodale and Westbrook that has been exchanged in personal communication. This work has been funded by the German Science Foundation (DFG) under grant SE 1784/3-1, project ID 408011764 as part of the DFG priority program SPP 2115 on radar polarimetry.
DOI: 10.5281/zenodo.7827863
title: Dataset for  "McSnow 2.0: Explicit habit-prediction in a Lagrangian super-particle ice microphysics model"

description: Data and plot scripts to create figures included in the paper draft "McSnow 2.0: Explicit habit-prediction in a Lagrangian super-particle ice microphysics model" (submitted to JAMES).


This work has been funded by the German Science Foundation (DFG) under grant SE 1784/3-1, project ID 408011764 as part of the DFG priority program SPP 2115 on radar polarimetry.
DOI: 10.5281/zenodo.7900348
title: Dataset for "McSnow 2.0: Explicit habit-prediction in a Lagrangian super-particle ice microphysics model"

description: Data and plot scripts to create figures included in the paper draft "McSnow 2.0: Explicit habit-prediction in a Lagrangian super-particle ice microphysics model" (submitted to JAMES). This work has been funded by the German Science Foundation (DFG) under grant SE 1784/3-1, project ID 408011764 as part of the DFG priority program SPP 2115 on radar polarimetry.
DOI: 10.5281/zenodo.10077724
title: Dataset for  "McSnow 2.0: Explicit habit-prediction in a Lagrangian super-particle ice microphysics model"

description: Data and plot scripts to create figures included in the paper draft "McSnow 2.0: Explicit habit-prediction in a Lagrangian super-particle ice microphysics model" (submitted to JAMES).


This work has been funded by the German Science Foundation (DFG) under grant SE 1784/3-1, project ID 408011764 as part of the DFG priority program SPP 2115 on radar polarimetry.
DOI: 10.6084/m9.figshare.24512749.v7
title: tweets_2022_05.csv

description: description
DOI: 10.5281/zenodo.10077741
title: ROLE AND SIGNIFICANCE OF ONLINE BANKS IN THE GLOBALIZATION PERIOD
DOI: 10.5281/zenodo.10077737
title: Sample tweets from May 2022

description: Dataset containing twitter data, namely hashed twitter id, hashed user id, tweet language, user statistics
DOI: 10.5281/zenodo.10077740
title: ROLE AND SIGNIFICANCE OF ONLINE BANKS IN THE GLOBALIZATION PERIOD
DOI: 10.5281/zenodo.10077736
title: Sample tweets from May 2022

description: Dataset containing twitter data, namely hashed twitter id, hashed user id, tweet language, user statistics
DOI: 10.5281/zenodo.10077750
title: Sample reddit posts 5 Oct 2023

description: Reddit posts from technology related subreddits from 5 Oct 2023
DOI: 10.5281/zenodo.8413086
title: Sample reddit posts 5 Oct 2023

description: Reddit posts from technology related subreddits from 5 Oct 2023
DOI: 10.5281/zenodo.8413087
title: Sample reddit posts 5 Oct 2023

description: Reddit posts from technology related subreddits from 5 Oct 2023
DOI: 10.5281/zenodo.10077755
title: PROSPECTS OF INTRODUCING DIGITAL TECHNOLOGIES TO THE TAX SYSTEM IN THE REPUBLIC OF UZBEKISTAN
DOI: 10.57841/casdc.0003075
title: 载荷对Ni3Al基自润滑复合涂层摩擦学行为的影响
DOI: 10.17909/xpmc-7m26
title: Data used for training in paper "A New Cosmic Ray Rejection Routine for HST WFC3/UVIS4 via label-free training of deepCR"

description: deepCR is a deep-learning-based cosmic ray (CR) rejection framework originally presented by Zhang & Bloom (2020). The original approach requires a dedicated training set that consists of multiple frames of the same fields, enabling automatic CR labeling through comparison with their median co-adds. Here, we present a novel training approach that circumvents the need for a dedicated training set, but instead utilizes dark frames and the science images requiring CR removal themselves. During training, CRs present in dark frames are added to the science images, which the network is then trained to identify. In turn, the trained deepCR model can then be applied to identify CRs originally present in the science images. Using this approach, we present a new deepCR model trained on a diverse set of Hubble Space Telescope (HST) images taken from resolved galaxies in the local group, which is universally applicable across all WFC3/UVIS filters. We further evaluate the performance of the deepCR model on the Panchromatic Hubble Andromeda Southern Treasury (PHAST) survey and provide insights into how users can robustly determine the threshold for generating binary cosmic-ray masks from deepCR probability map predictions.
DOI: 10.6084/m9.figshare.24512749.v8
title: tweets_2022_05.csv

description: description
DOI: 10.5281/zenodo.10077756
title: PROSPECTS OF INTRODUCING DIGITAL TECHNOLOGIES TO THE TAX SYSTEM IN THE REPUBLIC OF UZBEKISTAN
DOI: 10.23729/bf7307e2-cb78-4a44-b5ec-a1062926c881
title: Product, Manufacturing Resource and Capability Ontologies
title: Product, Manufacturing Resource and Capability Ontologies

description: OWL-based information models (ontologies) for representing process taxonomy, product model, manufacturing resources and their capabilities.
description: OWL-pohjaiset ontologiamallit prosessi taksonomian, tuotemallin, tuotantoresurssien ja niiden kyvykkyyksien kuvaamiseen.
DOI: 10.34740/kaggle/dsv/6907531
title: LUFlow Network Intrusion Detection Data Set
DOI: 10.6084/m9.figshare.21786639
title: Ten-tier and multi-scale supply chain network analysis of medical equipment: random failure & intelligent attack analysis

description: Motivated by the COVID-19 pandemic, this paper explores the supply chain viability of medical equipment, an industry whose supply chain was put under a crucial test during the pandemic. This paper includes an empirical network-level analysis of supplier reachability under Random Failure Experiments (RFE) and Intelligent Attack Experiments (IAE). Specifically, this study investigates the effect of RFE and IAE across multiple tiers and scales. The global supply chain data was mined and analysed from about 45,000 firms with about 115,000 intertwined relationships spanning across 10 tiers of the backward supply chain of medical equipment. This complex supply chain network was analysed at four scales, namely: firm, country-industry, industry, and country. A notable contribution of this study is the application of a supply chain tier optimisation tool to identify the lowest tier of the supply chain that can provide adequate resolution for the study of the supply chain pattern. We also developed data-driven-tools to identify the thresholds for breakdown and fragmentation of the medical equipment supply chain when faced with random failures or different intelligent attack scenarios. The novel network analysis tools utilised in the study can be applied to the study of supply chain reachability and viability in other industries.
DOI: 10.6084/m9.figshare.21786639.v1
title: Ten-tier and multi-scale supply chain network analysis of medical equipment: random failure & intelligent attack analysis

description: Motivated by the COVID-19 pandemic, this paper explores the supply chain viability of medical equipment, an industry whose supply chain was put under a crucial test during the pandemic. This paper includes an empirical network-level analysis of supplier reachability under Random Failure Experiments (RFE) and Intelligent Attack Experiments (IAE). Specifically, this study investigates the effect of RFE and IAE across multiple tiers and scales. The global supply chain data was mined and analysed from about 45,000 firms with about 115,000 intertwined relationships spanning across 10 tiers of the backward supply chain of medical equipment. This complex supply chain network was analysed at four scales, namely: firm, country-industry, industry, and country. A notable contribution of this study is the application of a supply chain tier optimisation tool to identify the lowest tier of the supply chain that can provide adequate resolution for the study of the supply chain pattern. We also developed data-driven-tools to identify the thresholds for breakdown and fragmentation of the medical equipment supply chain when faced with random failures or different intelligent attack scenarios. The novel network analysis tools utilised in the study can be applied to the study of supply chain reachability and viability in other industries.
DOI: 10.6084/m9.figshare.24512749.v9
title: tweets_2022_05.csv

description: description
DOI: 10.6084/m9.figshare.24512749
title: tweets_2022_05.csv

description: description
DOI: 10.6084/m9.figshare.24512749.v10
title: tweets_2022_05.csv

description: description
DOI: 10.6084/m9.figshare.24512749.v11
title: tweets_2022_05.csv

description: description
DOI: 10.25505/fiz.icsd.cc2hdl2l
title: CSD 2305999: Experimental Crystal Structure Determination

description: Related Article: Guoliang Feng|2023|ICSD Communication|||
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.6084/m9.figshare.24516712
title: supportingdataIPWGAN

description: It is the parametric statistical result of the generated pore space.
DOI: 10.5281/zenodo.10076303
title: Stress shift in noun-verb conversion pairs: Data
DOI: 10.5281/zenodo.10076302
title: Stress shift in noun-verb conversion pairs: Data
DOI: 10.5281/zenodo.10077802
title: Sample export from Feodo Tracker 5 Oct 2023

description: Export of a blocklist of botnet C&C servers from 5 Oct 2023
DOI: 10.5281/zenodo.8413010
title: Sample export from Feodo Tracker 5 Oct 2023

description: Export of a blocklist of botnet C&C servers from 5 Oct 2023
DOI: 10.5281/zenodo.8413011
title: Sample export from Feodo Tracker 5 Oct 2023

description: Export of a blocklist of botnet C&C servers from 5 Oct 2023
DOI: 10.6084/m9.figshare.24511975.v1
title: Sample tweets from May 2022

description: Dataset containing twitter data, namely hashed twitter id, hashed user id, tweet language, user statistics.
DOI: 10.6084/m9.figshare.24516709
title: DataToUpload_1_11-7-2023.zip

description: <b>Context</b>: Agile development methodology has been widely adopted by industry and the demand for<br>skilled professionals in Agile-related roles is persistently high. Objectives: We target the role of Scrum<br>Master and investigate technical and soft skills related to this role, single or shared responsibilities<br>associated with this role, together with career path, all from a perspective of considering women<br>in Scum Master positions. <b>Method</b>: We conducted our study in two phases and combined several<br>empirical methods in order to perform a qualitative analysis of the results. <b>Conclusions</b>: Our<br>results identified communication, and management as most important soft skills, accompanied by<br>fundamental technical skills, such as programming, software development cycle and databases needed<br>for a Scrum Master role. In case of women, the position is mostly occupied by females with a technical<br>background, although non-technical background is a valid options, and the necessary skills are mostly<br>obtained through interactive learning methods (mentoring and training). Skills and experience gained<br>by women in Scrum Master role are valuable in management positions.<br>
DOI: 10.6084/m9.figshare.24516709.v1
title: DataToUpload_1_11-7-2023.zip

description: <b>Context</b>: Agile development methodology has been widely adopted by industry and the demand for<br>skilled professionals in Agile-related roles is persistently high. Objectives: We target the role of Scrum<br>Master and investigate technical and soft skills related to this role, single or shared responsibilities<br>associated with this role, together with career path, all from a perspective of considering women<br>in Scum Master positions. <b>Method</b>: We conducted our study in two phases and combined several<br>empirical methods in order to perform a qualitative analysis of the results. <b>Conclusions</b>: Our<br>results identified communication, and management as most important soft skills, accompanied by<br>fundamental technical skills, such as programming, software development cycle and databases needed<br>for a Scrum Master role. In case of women, the position is mostly occupied by females with a technical<br>background, although non-technical background is a valid options, and the necessary skills are mostly<br>obtained through interactive learning methods (mentoring and training). Skills and experience gained<br>by women in Scrum Master role are valuable in management positions.<br>
DOI: 10.57841/casdc.0003076
title: 混合润滑下螺旋锥齿轮抗胶合能力分析
DOI: 10.6084/m9.figshare.24516772
title: Supplementary Material for: Association between Obesity and periodontitis in US Adults: NHANES 2011–2014

description: Introduction: It is controversial whether obesity and periodontitis are related. A representative U.S. population was examined for the relationship between obesity and periodontitis. Methods: In the National Health and Nutrition Examination Survey (NHANES) 2011-2014, participants (n = 6662)aged 30 or older and underwent periodontal examinations were chosen for analysis. An assessment of obesity was based on body mass index (BMI) and waist circumference (WC). Estimates of obesity and periodontal disease were made using univariate and multivariate logistic regression models. Results: According to an adjusted odds ratio (OR) for periodontitis,BMI (OR=1.01, 95%CI: 1.01~1.02) and WC (OR=1.01, 95%CI: 1~1.01) were significantly associated with periodontitis, respectively. After adjusting for confounding factors, the OR for patients with high WC with periodontitis was 1.18 (1.04~1.33) compared to normal WC. BMI and WC subgroups showed no significant interaction (P for interaction &gt; 0.05), except for the age interaction in BMI. Among young adults aged 30 to 44, obesity was significantly associated with periodontitis in subgroups, the adjusted OR for having periodontal disease were 1.02 (1~1.03) and 1.01 (1~1.02) for subjects with BMI, and WC, respectively. When all covariates were adjusted, BMI ≥ 30 kg/m2 was statistically significantly associated with prevalence of periodontal disease among people aged 30 to 44 (P &lt;0.001). Conclusions: BMI and WC are significantly associated with periodontitis, even after adjusting for many variables, and were equally significant in obese (BMI≥30 kg/m2 ) young people (30 to 44 years).