cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.22261933.v1
title: Long-term trends in abundance and compositional variability of butterflies in Central Europe

description: The data contains compilations of long-term museum records (1940-2017) of butterflies (Rhopalocera and Hesperiidae, families Hesperiidae, Lycaenidae, Nymphalidae, Papilionidae, Pieridae, Riodinidae) and burnet moths (Zygaenidae) from Baden-Württemberg, south-western Germany (below SW-Germany; published in Habel et al., 2019) and Salzburg, central Austria (C-Austria; Habel et al., 2022). The geographical distance between these regions ranges between 350–400 km. Both study regions are comprised of diverse habitats and have undergone severe changes in land use since the 1960s. These include increasing urbanisation and agricultural intensification, the latter accompanied by high nitrogen intake, reduced ground water levels, and pesticide applications. The C-Austrian sites suffer additionally from skiing and tracking tourism, as well as land abandonment at medium to higher elevation. The data stem from historical field books, protocols, yearly reports, index cards, literature, diaries and butterfly collections. They encompass records of complete annual butterfly communities and are stored on the InsectIS and Schmetterlingsfauna Baden-Württembergs online websites (www.insectis.de, www.schmetterlinge-bw.de) for SW-Germany. The C-Austrian data are stored in the Haus der Natur museum collection (Habel et al., 2019, 2022). In total, the SW-German data consisted of 220,758 records from 155 species, and the C- Austrian data of 55,641 records from 170 species.
DOI: 10.25934/pr00000708.0
title: Available datapackage for study 'LPL100601, A Clinical Outcomes Study of Darapladib Versus Placebo in Subjects With Chronic Coronary Heart Disease to Compare the Incidence of Major Adverse Cardiovascular Events (MACE)'

description: This study will test whether darapladib can safely lower the chances of having a cardiovascular event (such as a heart attack or stroke) in people with coronary heart disease.
DOI: 10.17632/wnwk7wxbw4.1
title: Effectiveness of South Asian Food Pattern in Calorie Restriction Diet among Young Adults with Overweight and Obesity in Dhaka City

description: The prevalence of overweight and obesity among young adults is emerging in Dhaka city, therefore, diet-based strategy for the reduction of the excess weight is observed as an effective way to improve health and well-being.
An exploratory study aims to investigate the effects of calorie-restriction diet in weight reduction by implying the local South Asian dietary pattern.
120 young adults aged 18-35 year with overweight and obesity from Dhaka city were randomized where 60 participants were in a case group following a calorie-restriction diet with South Asian food pattern, and the rest in a control group followed an ad libitum diet for 8 weeks. Participants underwent weight measurement at two weeks' intervals to determine the change in body weight with continuous weight loss motivation and rearranged meal plans to avoid repetition. 
Mean 2.47 kg (95% CI: 1.94, 3.01; p< .001) weight reduction in case (n= 58; 2 dropouts) group and mean 0.313 kg (95% CI: -0.36,0.053; p< 0.142) weight gain in control [n=60] group was observed. The Body Mass Index dropped from mean 26.68 kg/m2 (95% CI: 26.02,27.34; p< .001) to 25.65 kg/m2 (95% CI: 24.99,26.32; p< .001) in the case group. 
The results of this study of weight reduction intervention provide primary evidence of successful weight loss by following local food patterns. It is an attempt to evaluate the feasibility of South Asian diet in established dietary regime. Further studies on different biochemical parameters and long-term trials in the South Asian region is recommended.
DOI: 10.17632/6tkty678b5.1
title: CT scan results of permeable concrete

description: CT scan results of permeable concrete
DOI: 10.17632/tv6ct38gbt.1
title: Channel Modeling and Characterization for Mud Pulse Telemetry

description: Channel Modeling and Characterization for Mud Pulse Telemetry
DOI: 10.17632/x8z7fm48z4.1
title: Research on High Performance HRM Practices In Indonesian Public Sector from Millennials Perspective

description: The study aims to investigate the impact of high-performance human resource practices (HPHRP) on innovative work behavior (IWB), job satisfaction (JS), and organizational commitment (OC) among millennials in the Indonesian public sector.
DOI: 10.17632/m384hc7pc2.1
title: Dataset on the Impact of CSR-Image on Customer Loyalty Creation in Indian Commercial Banks

description: This dataset describes the Impact of CSR-Image on Customer Loyalty Creation in the Banking Sector.
DOI: 10.17632/m384hc7pc2.2
title: Dataset on the Impact of CSR-Image on Customer Loyalty Creation in Indian Commercial Banks

description: This dataset provides a complete insight into the customers' perception of the Impact of CSR-Image on Customer Loyalty Creation in Indian Commercial Banks. the data were collected using a convenient sampling method from 308 customers of commercial banks. This dataset will be useful in designing CSR policies in commercial banks. further, it will be more helpful in understanding the CSR actions towards the Customer-Company identification process in the banking sectors.
DOI: 10.17632/m384hc7pc2.3
title: Dataset on the Impact of CSR-Image on Customer Loyalty Creation in Indian Commercial Banks

description: This dataset provides a complete insight into the customers' perception of the Impact of CSR-Image on Customer Loyalty Creation in Indian Commercial Banks. the data were collected using a convenient sampling method from 308 customers of commercial banks. This dataset will be useful in designing CSR policies in commercial banks. further, it will be more helpful in understanding the CSR actions towards the Customer-Company identification process in the banking sectors.
DOI: 10.17632/f4jm5d34tg.1
title: STUDY ON THE EXTRACTION CONDITIONS FOR FLAVONOID AND POLYPHENOL FROM DIFFERENT PARTS OF CYNOMORIUM SONGARICUM

description: An analysis of variance (ANOVA) combined with a Turkey analysis was used to analyze the results from the screening single-condition experiments. Next, by using Design Expert and Minitab statistical tools to analyze the data of Response Surface Measurement. Using the desirability function technique in design expert software, the best extraction conditions were chosen with the goal of obtaining the maximum TPC and TFC in different parts. To illustrate the relationship between results and the applied experimental variables, the fitted polynomial equation was shown as three-dimensional surface plots.
DOI: 10.6084/m9.figshare.22261981
title: AAM_brain.rar

description: <strong>Correlations of AAM with brain features</strong>
DOI: 10.6084/m9.figshare.22261981.v1
title: AAM_brain.rar

description: <strong>Correlations of AAM with brain features</strong>
DOI: 10.17632/t7rtng8ftb.1
title: Axin2 regulates the protein stability of p53——Western blot raw data

description: Axin2 regulates the protein stability of p53.
DOI: 10.17632/gz9xd9tzjv.1
title: Effect of class IV LASER therapy among female underwent c-section

description: In this two groups pre-test post-test randomized control trial total 34 women who underwent for cesarean section delivery recruited after screening of inclusion and exclusion criteria are randomly divided in two groups (experimental & control group). Experimental group will be treated with class IV LASER therapy along with conventional Physiotherapy management of post cesarean section.
While control group will be treated with conventional physiotherapy management of post cesarean section only. During the treatment period patient will flow the pharmacological management without any interference.
DOI: 10.17632/sgn96vfxr4.1
title: Data and Materials for "How Transgressor’s Moral Identity Leads to High-Quality Apologies: The Positive Effects of Guilt"

description: Comprehensive apologies are effective strategies to solve interpersonal conflict and promote reconciliation. However, transgressors tend to avoid providing comprehensive apologies because it is more threatening to do so. As a result, transgressors usually offer perfunctory apologies and hinder their own chances of being forgiven. Given the importance of promoting high-quality apologies, we investigate the role of moral identity in increasing apology comprehensiveness. Across three studies using a combination of experimental and correlational designs with autobiographical recall paradigm, we demonstrate that transgressors high in moral identity feel guiltier after committing a transgression. As a result, they offer more comprehensive apologies. Moreover, the effects of guilt on transgressors’ apologizing are conditional on the perceived apology effectiveness. Guilt is particularly important to boost apology quality when perceived apology effectiveness is low. In such cases, guilt leads transgressors to make more reparative efforts towards reconciliation despite the low possibility of apology’s acceptance.
DOI: 10.17632/fkz6mbpr2z.1
title: Synthetic dynamic attributed networks with ground-truth information

description: 1. Synthetic network 1: graphs were built with 200 nodes and 20 snapshots. In the initialization, the nodes are divided into two groups, each one with 100 nodes. Then, at a randomly selected time period, 40 % of the nodes are chosen to migrate to a new community in Dataset 1, and 80 % in Dataset 2. The membership of each node is chosen according to a stochastic block model, where nodes within the same community are connected with probability 0.3, and the edges between communities are drawn with a probability of 0.1.
For the generation of the attributes, we propose 4 cases using a univariate or multivariate normal distribution with a standard deviation of 0.1. In Case 1, a three-variate normal distribution is used to generate three attributes, where only the first attribute contributes to identifying the groups. In Case 2, we propose to use only one meaningful attribute. In Case 3, there are three irrelevant random attributes. In Case 4, there is one irrelevant random attribute. This data correspond to Data17 (change of 40 %), with R0M0 (one relevant attribute), R0M1 (three attributtes with one relevant), R1M0 (one irrelevant attribute), R1M1 (three irrelevant attributes). Data18 (change of 80 %) as a similar interpretation for attributes.

2. Synthetic network 2: we generated 10 timestamps with communities that grow and shrink. We designed 3 datasets with 3 groups of 80, 90 and 100 nodes. The network structure is generated by a degree-corrected stochastic block model. Three types of attributed networks were proposed, with different original link probabilities, to assess strongly assortative structures, weakly assortative structures, and disassortative structures. This data correspond to Data107PV0.21, Data108PV0.1, and Data109PV0.19.

3. Synthetic network 3: we design four datasets with different evolution of links over time,  consisting of attributed networks of 100 nodes and 60 time points were generated. Intra- and inter-cluster edges are selected from a truncated Gaussian distribution in the range [0; 1]. Changes in the structure of the networks are generated between time t = 20 to t = 21 and t = 40 to t = 41. Attributes were generated similarly to Synthetic network 1. This data correspond to Data19, Data20, Data21, and Data22, with similar interpretation for attributes as in Synthetic network 1.

4. Synthetic network 4: We use the synthetic benchmark DANCer to create 12 attributed graphs with undirected edges that can change over time, where nodes are grouped into densely connected sets, relatively homogeneous according to the attributes. The number of nodes start at 1000 nodes, the number of communities at 10, and the number of edges at 5000, which increase over time, ending with a maximum value of 4814 nodes, 15 communities and 21908 edges among the built networks. This data correspond to Data122 to Data125, Data128 to Data131, and Data135 to Data138.

For all datasets, 10 seeds where used. All data files were generated using Matlab.
DOI: 10.17632/fkjzfkhbd5.1
title: Downtown Recovery and Polycentricity Quotients for US and Canadian Downtowns

description: This dataset agglomerates calculated recovery and polycentricity quotients for 62 downtowns in the United States and Canada, used for the paper: "Can We Save The Downtown? Examining Pandemic Recovery and Polycentricity Trajectories across 62 North American Cities" by Leong, Huang, Moore, Chapple, et al. Variables reflect calculations from Patterns data by SafeGraph, Inc. The calculated metrics include:

Recovery Quotient (Downtown): Proportion of visits from mobile devices detected in the downtown area (specified by zip codes) in the specified week compared to the corresponding week in 2019.

Recovery Quotient (City): Proportion of visits from mobile devices detected in the entire city (specified by zip codes) in the specified week compared to the corresponding week in 2019.

Location Quotient: Ratio of the Recovery Quotient (Downtown) to the Recovery Quotient (City), reflecting the relative recovery of the downtown and the city.
DOI: 10.17632/fkz6mbpr2z.2
title: Synthetic dynamic attributed networks with ground-truth information

description: 1. Synthetic network 1: graphs were built with 200 nodes and 20 snapshots. In the initialization, the nodes are divided into two groups, each one with 100 nodes. Then, at a randomly selected time period, 40 % of the nodes are chosen to migrate to a new community in Dataset 1, and 80 % in Dataset 2. The membership of each node is chosen according to a stochastic block model, where nodes within the same community are connected with probability 0.3, and the edges between communities are drawn with a probability of 0.1.
For the generation of the attributes, we propose 4 cases using a univariate or multivariate normal distribution with a standard deviation of 0.1. In Case 1, a three-variate normal distribution is used to generate three attributes, where only the first attribute contributes to identifying the groups. In Case 2, we propose to use only one meaningful attribute. In Case 3, there are three irrelevant random attributes. In Case 4, there is one irrelevant random attribute. This data correspond to Data17 (change of 40 %), with R0M0 (one relevant attribute), R0M1 (three attributtes with one relevant), R1M0 (one irrelevant attribute), R1M1 (three irrelevant attributes). Data18 (change of 80 %) as a similar interpretation for attributes.

2. Synthetic network 2: we generated 10 timestamps with communities that grow and shrink. We designed 3 datasets with 3 groups of 80, 90 and 100 nodes. The network structure is generated by a degree-corrected stochastic block model. Three types of attributed networks were proposed, with different original link probabilities, to assess strongly assortative structures, weakly assortative structures, and disassortative structures. This data correspond to Data107PV0.21, Data108PV0.1, and Data109PV0.19.

3. Synthetic network 3: we design four datasets with different evolution of links over time,  consisting of attributed networks of 100 nodes and 60 time points were generated. Intra- and inter-cluster edges are selected from a truncated Gaussian distribution in the range [0; 1]. Changes in the structure of the networks are generated between time t = 20 to t = 21 and t = 40 to t = 41. Attributes were generated similarly to Synthetic network 1. This data correspond to Data19, Data20, Data21, and Data22, with similar interpretation for attributes as in Synthetic network 1.

4. Synthetic network 4: We use the synthetic benchmark DANCer to create 12 attributed graphs with undirected edges that can change over time, where nodes are grouped into densely connected sets, relatively homogeneous according to the attributes. The number of nodes start at 1000 nodes, the number of communities at 10, and the number of edges at 5000, which increase over time, ending with a maximum value of 4814 nodes, 15 communities and 21908 edges among the built networks. This data correspond to Data122 to Data125, Data128 to Data131, and Data135 to Data138.

For all datasets, 10 seeds where used. All data files were generated using Matlab.
DOI: 10.17632/wvfghgsm57.1
title: Anaerobic purinolytic enzymes enable dietary purine clearance by engineered gut bacteria

description: Source data underlying Figure 2-7, Figure S2-S3 and Figure S7 are provided as a Source Data file. The pictures of Drosophila melanogaster MTs in Figure 6B and Figure 7A are also attached.
DOI: 10.6084/m9.figshare.22261984.v1
title: Seroprevalence of SARS-CoV-2 Specific IgG Antibodies among a Scientific Community in Jordan during the Second Pandemic Wave

description: Summary of date obtained from the participants and lab analysis.
DOI: 10.17632/jdxs9w75kf.1
title: Supplementary Tables - Cutaneous Granulomas Associated with Rubella Virus: A Clinical Review

description: Table S1. Patient characteristics of reported RuV granuloma cases
Table S2. Available histological descriptions of reported RuV granulomas cases
DOI: 10.5281/zenodo.7727193
title: Raw Data for iommu-bench: PeerJ-CS

description: Raw data of the experiments performed for "Overcoming the IOTLB wall for multi-100-gbps Linux-based networking" article published at PeerJ CS
DOI: 10.5281/zenodo.7727192
title: Raw Data for iommu-bench: PeerJ-CS

description: Raw data of the experiments performed for "Overcoming the IOTLB wall for multi-100-gbps Linux-based networking" article published at PeerJ CS
DOI: 10.17632/njz49zgrw9.1
title: Data for: Event-related potential and electroencephalography analyses of artistic methodology applied in information visualization design in human–computer interface

description: The dataset contains each participant's event-related potential research data and electroencephalography brain data analysis. In addition, it contains the answer accuracy of experiment questions. 
The system contains two group files. Each group folder contains 26 participant files. Each participant folder contains one EEG file and one ERP file. The answer_summary_english_anonymity.xlsx contains all the subjective evaluation results and answer accuracy data in the folder.
Participant number was matched between folders and files.
DOI: 10.17632/njz49zgrw9.2
title: Data for: Event-related potential and electroencephalography analyses of artistic methodology applied in information visualization design in human–computer interface

description: The dataset contains each participant's event-related potential research data and electroencephalography brain data analysis. In addition, it contains the answer accuracy of experiment questions. 
The system contains two group files. Each group folder contains 26 participant files. Each participant folder contains one EEG file and one ERP file. The answer_summary_english_anonymity.xlsx contains all the subjective evaluation results and answer accuracy data in the folder.
Participant number was matched between folders and files.
DOI: 10.17632/njz49zgrw9.3
title: Data for: Event-related potential and oscillatory cortical activities of artistic methodology in information visualization design in human–computer interface

description: The dataset contains each participant's event-related potential research data and electroencephalography brain data analysis. In addition, it contains the answer accuracy of experiment questions. 
The system contains two group files. Each group folder contains 26 participant files. Each participant folder contains one EEG file and one ERP file. The answer_summary_english_correct_formal_anonymity.xlsx contains all the subjective evaluation results and answer accuracy data in the folder.
Participant number was matched between folders and files.
DOI: 10.17632/jcdxmvj76k.3
title: PREDICTIVE PATH MODELLING FOR RIVER MONITORING source code and demonstration

description: Source code for: 'Monitoring pollution pathways in river water by predictive path modelling using untargeted GC-MS measurements'. Demonstration of the Process PLS analysis on chemical concentrations previously extracted from GC-MS measurements performed in 9 sampling sites along the river Rhine. 
The raw GC-MS data were provided by RIWA-Rijn and Rijkswaterstaat.


For the original Process PLS code and demonstration, please see:
van Kollenburg, Geert; Offermans, Tim; Jansen, Jeroen; Bouman, Roel; Postma, Geert (2022), “Data, software and scripts related to the Process PLS methodology manuscript”, Mendeley Data, V6, doi: 10.17632/9x9h7fr4kn.6
DOI: 10.17632/jcdxmvj76k.4
title: PREDICTIVE PATH MODELLING FOR UNTARGETED RIVER MONITORING source code and demonstration

description: Source code for: 'Monitoring pollution pathways in river water by predictive path modelling using untargeted GC-MS measurements'. Demonstration of the Process PLS analysis on chemical concentrations previously extracted from GC-MS measurements performed in 9 sampling sites along the river Rhine. 
The raw GC-MS data were provided by RIWA-Rijn and Rijkswaterstaat.


For the original Process PLS code and demonstration, please see:
van Kollenburg, Geert; Offermans, Tim; Jansen, Jeroen; Bouman, Roel; Postma, Geert (2022), “Data, software and scripts related to the Process PLS methodology manuscript”, Mendeley Data, V6, doi: 10.17632/9x9h7fr4kn.6
DOI: 10.17632/jcdxmvj76k.1
title: PREDICTIVE PATH MODELLING FOR RIVER MONITORING source code and demostration

description: Source code for: 'Making Waves: monitoring pollution pathways in river water by predictive path modelling using untargeted GC-MS measurements'. Demonstration of the Process PLS analysis on chemical concentrations previously extracted from GC-MS measurements performed in 9 sampling sites along the river Rhine. 
The raw GC-MS data were provided by RIWA-Rijn and Rijkswaterstaat.

For our publication introducing Process PLS for river monitoring, please see:
- <paper under revision>

For the original Process PLS code and demonstration, please see:
van Kollenburg, Geert; Offermans, Tim; Jansen, Jeroen; Bouman, Roel; Postma, Geert (2022), “Data, software and scripts related to the Process PLS methodology manuscript”, Mendeley Data, V6, doi: 10.17632/9x9h7fr4kn.6
DOI: 10.17632/jcdxmvj76k.2
title: PREDICTIVE PATH MODELLING FOR RIVER MONITORING source code and demonstration

description: Source code for: 'Making Waves: monitoring pollution pathways in river water by predictive path modelling using untargeted GC-MS measurements'. Demonstration of the Process PLS analysis on chemical concentrations previously extracted from GC-MS measurements performed in 9 sampling sites along the river Rhine. 
The raw GC-MS data were provided by RIWA-Rijn and Rijkswaterstaat.

For our publication introducing Process PLS for river monitoring, please see:
- <paper under revision>

For the original Process PLS code and demonstration, please see:
van Kollenburg, Geert; Offermans, Tim; Jansen, Jeroen; Bouman, Roel; Postma, Geert (2022), “Data, software and scripts related to the Process PLS methodology manuscript”, Mendeley Data, V6, doi: 10.17632/9x9h7fr4kn.6
DOI: 10.17632/jcdxmvj76k.5
title: PREDICTIVE PATH MODELLING FOR UNTARGETED RIVER MONITORING source code and demonstration

description: Source code for: 'Monitoring pollution pathways in river water by predictive path modelling using untargeted GC-MS measurements'. Demonstration of the Process PLS analysis on chemical concentrations previously extracted from GC-MS measurements performed in 9 sampling sites along the river Rhine. 
The raw GC-MS data were provided by RIWA-Rijn and Rijkswaterstaat.


For the original Process PLS code and demonstration, please see:
van Kollenburg, Geert; Offermans, Tim; Jansen, Jeroen; Bouman, Roel; Postma, Geert (2022), “Data, software and scripts related to the Process PLS methodology manuscript”, Mendeley Data, V6, doi: 10.17632/9x9h7fr4kn.6
DOI: 10.17632/dztwbd3shp.1
title: CCM-color sensor

description: Algorithms for running the integrated mobile detection platform.
DOI: 10.17632/cs4v6g958z.1
title: Custom code_LPRS

description: Systematic profiling of a lipid metabolism-derived signature guides risk-stratification and therapeutic strategies in hepatocellular carcinoma