cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/3dkt4kpxnf.2
title: Phonotaxis of male field crickets, Gryllus bimaculatus, to conspecific calling song

description: In many cricket species, individuals fill sex-specific mating roles. For mate attraction in the field cricket Gryllus bimaculatus, males remain stationary and produce a species-specific calling song (senders) whilst females detect this signal and move towards it in a behaviour known as phonotaxis (receivers). Male G. bimaculatus have been observed responding to the calling song of conspecifics, and phonotaxis has anecdotally been reported for males in related species. Here, we aimed to quantify the tuning and intensity of male phonotaxis behaviour in G. bimaculatus by using a trackball system and established acoustic paradigms, and by comparing responses to typical female phonotaxis. Data captured shows the distanced walked (absolutle and relative) toward active speakers playing one of two main experimental paradigms; a syllable repetition interval paradigm (with different pulse periods used between chirps) and a chirp pattern paradigm (with different pulse patterns within a chirp). Data on age and date were also collected.
DOI: 10.17632/8yb9h7dnj6.1
title: Evaluation of the Efficacy of Topically Applied Melatonin Gel as Adjunctive Therapy in Chronic Periodontitis; Randomized Control Trail

description: Aim: This study was conducted to assess the benefit of locally delivered melatonin gel as adjunctive to scaling and root planning (SRP) in the treatment of chronic periodontitis. Subjects and Methods: Forty chronic periodontitis selected patients ,divided into two groups. Group I: included 20 chronic periodontitis patients, treated by conventional periodontal therapy SRP combined with intra- pocket application of Melatonin gel once weekly for 1 month begin application at the second week after initial therapy. Group II: included 20 chronic periodontitis patients, treated by SRP combined with the injection of placebo, weekly for one month. The periodontal parameters were recorded at baseline, 1week, 1and 3 months.Gingival crevicular fluid (GCF) samples were collected and a quantitative measurement of receptor activator nuclear K ligand (RANKL) was carried out by using Enzyme-Linked Immunosorbent Assay (ELISA) at baseline, 1week, 1 and 3 months. Results: We found noticeable significant reduction in all clinical parameter and in the amount of GCF RANKL in group I in all evaluation period at 1 ,3-month over group II. Conclusion: The results proved the benefit of Melatonin as a promising adjunctive therapy in improving periodontal parameters. However, further long-term studies with large sample size are needed
DOI: 10.17632/j6xvmwmcch.1
title: Torsional vibration Sulzer 3AL/25

description: Data represents torsional deflection of Sulzer 3AL/35 genset. Load 250 kW, healthy condition. Each column is one cycle (2 revolutions) of the crankshaft. Each row is 0,9 °CA. Detailed system description and acquisition method is described in our paper "Statistical analysis of torsional vibrations measured with incremental encoders".
DOI: 10.5519/qd.jhyksxfm
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (88860 records)
DOI: 10.17632/9rfc9zf3p2.1
title: Survey data to evaluate consumer behaviour and pattern of consumption of sustainable apparel: A study on consumer awareness level

description: This data set contains respondent awareness level, consumption pattern, source of information from sample and could provide insight for another researcher.
DOI: 10.17632/9rfc9zf3p2.2
title: Survey data to evaluate consumer behaviour and pattern of consumption of sustainable apparel: A study on consumer awareness level

description: This data set contains respondent awareness level, consumption pattern, source of information from sample and could provide insight for another researcher.
DOI: 10.17632/9rfc9zf3p2.3
title: Survey data to evaluate consumer behaviour and pattern of consumption of sustainable apparel: A study on consumer awareness level

description: This data set contains respondent awareness level, consumption pattern, source of information from sample and could provide insight for another researcher.
DOI: 10.17632/9rfc9zf3p2.5
title: Survey data to evaluate consumer behaviour and pattern of consumption of sustainable apparel: A study on consumer awareness level

description: This data set contains respondent awareness level, consumption pattern, source of information from sample and could provide insight for another researcher.
DOI: 10.17632/cfgy9ss43n.1
title: Caspian Sea dataset

description: Groundwater quality of Caspian Sea coastline- Dataset
DOI: 10.17632/cfgy9ss43n.2
title: Caspian Sea dataset

description: Groundwater quality of Caspian Sea coastline- Dataset
DOI: 10.5517/ccdc.csd.cc2c70rd
title: CCDC 2181493: Experimental Crystal Structure Determination

description: Related Article: John M. Halford-McGuff, David B. Cordes, Allan J. B. Watson|2023|Chem.Commun.|59|7759|doi:10.1039/D3CC00761H
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.17632/2b72tw6wcv.1
title: CTCF and R-loops are boundaries of cohesin-mediated DNA looping

description: Imaging data for the paper ''CTCF and R-loops are boundaries of cohesin-mediated DNA looping''
DOI: 10.5517/ccdc.csd.cc2c70sf
title: CCDC 2181494: Experimental Crystal Structure Determination

description: Related Article: John M. Halford-McGuff, David B. Cordes, Allan J. B. Watson|2023|Chem.Commun.|59|7759|doi:10.1039/D3CC00761H
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.17632/wst79vxjmv.1
title: Efficient Management of Energy Consumption of Electric Vehicles  Using Machine Learning — A Systematic and Comprehensive Survey

description: Electric vehicles are growing in popularity as a form of transportation, but are still underused for several reasons, such as their relatively low range and the high costs associated with manufacturing and maintaining batteries. Many studies using several approaches have been conducted on electric vehicles. Among all studied subjects, here we are interested in the use of machine learning to efficiently manage the energy consumption of electric vehicles, in order to develop intelligent electric vehicles that make quick unprogrammed decisions based on observed data allowing minimal electricity consumption. Our interest is motivated by the adequate results obtained using machine learning in many fields and the increasing but still insufficient use of machine learning to efficiently manage the energy consumption of electric vehicles. From this standpoint, we have built this comprehensive survey covering a broad variety of scientific papers in the field published over the last few years . According to the findings, we identified the current trend and revealed future perspectives.
DOI: 10.17632/t9bswxjz5y.1
title: Efficient Management of Energy Consumption of Electric Vehicles  Using Machine Learning — A Systematic and Comprehensive Survey

description: Electric vehicles are growing in popularity as a form of transportation, but are still underused for several reasons, such as their relatively low range and the high costs associated with manufacturing and maintaining batteries. Many studies using several approaches have been conducted on electric vehicles. Among all studied subjects, here we are interested in the use of machine learning to efficiently manage the energy consumption of electric vehicles, in order to develop intelligent electric vehicles that make quick unprogrammed decisions based on observed data allowing minimal electricity consumption. Our interest is motivated by the adequate results obtained using machine learning in many fields and the increasing but still insufficient use of machine learning to efficiently manage the energy consumption of electric vehicles. From this standpoint, we have built this comprehensive survey covering a broad variety of scientific papers in the field published over the last few years. According to the findings, we identified the current trend and revealed future perspectives.
DOI: 10.17632/pbnvrspgdj.1
title: IOBA

description: Dataset of IOBA Study 2021
See article: MASSAGE AND EXERCISE INCREASE BODY AWARENESS IN HEALTHY ADULTS: A RANDOMIZED PLACEBO CONTROLLED TRIAL
DOI: 10.17632/dhh99k9f6x.1
title: Urban Heat Island Mitigation via roof gardens

description: 2 rooms of a Chennai, Tamil Nadu, India-based facility were fitted with sensors at the terrace and room level. One room's terrace had a roof garden, and the other was exposed. The dataset presents the details of the temperature and humidity recorded at 4 places (garden indoor, garden outdoor, exposed indoor and exposed outdoor).

Two sets of industry-grade temperature and humidity sensors were installed for data collection. These sensors included cased sensors for outdoor measurements and exposed sensors for internal regions. One set of sensors was placed in the baseline monitoring zone, which was the area without a garden, while the second set was installed in the green/heat mitigation monitoring zone, which 
was the area with the garden. 
The precise locations of the four installed sensors were as follows:
1. The external baseline sensor was positioned in the southwest corner of the terrace in the exposed portion.
2. The internal baseline sensor was mounted on the restroom ceiling, below the external sensor in the southwest corner.
3. The external sensor for measuring data from the green roof was installed among the planter bags, near the parapet wall.
4. A corresponding internal sensor to measure the impact of the green terrace was mounted on the ceiling of the storeroom directly below the planter bags.
In addition to the sensors, secondary weather data for the larger Otteri neighbourhood was sourced from weather online, AccuWeather and Visual Crossing to complement the study.
DOI: 10.17632/dhh99k9f6x.2
title: Urban Heat Island Mitigation via roof gardens

description: 2 rooms of a Chennai, Tamil Nadu, India-based facility were fitted with sensors at the terrace and room level. One room's terrace had a roof garden, and the other was exposed. The dataset presents the details of the temperature and humidity recorded at 4 places (garden indoor, garden outdoor, exposed indoor and exposed outdoor).

Two sets of industry-grade temperature and humidity sensors were installed for data collection. These sensors included cased sensors for outdoor measurements and exposed sensors for internal regions. One set of sensors was placed in the baseline monitoring zone, which was the area without a garden, while the second set was installed in the green/heat mitigation monitoring zone, which 
was the area with the garden. 
The precise locations of the four installed sensors were as follows:
1. The external baseline sensor was positioned in the southwest corner of the terrace in the exposed portion.
2. The internal baseline sensor was mounted on the restroom ceiling, below the external sensor in the southwest corner.
3. The external sensor for measuring data from the green roof was installed among the planter bags, near the parapet wall.
4. A corresponding internal sensor to measure the impact of the green terrace was mounted on the ceiling of the storeroom directly below the planter bags.
In addition to the sensors, secondary weather data for the larger Otteri neighbourhood was sourced from weather online, AccuWeather and Visual Crossing to complement the study.
DOI: 10.17632/npnv4tsbg7.1
title: Wrist-worn sensor validation for heart rate variability and electrodermal activity detection in a stressful driving environment

description: The current dataset contributes to assess the accuracy of the Empatica 4 (E4) wristband for the detection of heart rate variability (HRV) and electrodermal activity (EDA) metrics in stress-inducing conditions and growing-risk driving scenarios. Heart Rate Variability (HRV) and ElectroDermal Activity (EDA) signals were recorded over six experimental conditions (i.e., Baseline, Video Clip, Scream, No Risk Driving, Low-Risk Driving, and High-Risk Driving) and by means of two measurement systems: the E4 device and a gold standard system. The raw quality of the physiological signals was enhanced by means of robust semi-automatic reconstruction algorithms. Heart Rate Variability time-domain parameters showed high accuracy in motion-free experimental conditions, while Heart Rate Variability frequency-domain parameters reported sufficient accuracy in almost every experimental condition.

Folder 01 contains both HRV and EDA parameters for every experimental condition, according to the Gold Standard measurement system and the Empatica 4 device, in two separate Excel files.

Folder 02 contains supplementary material on the assessment of the signals quality.

Folder 03 contains the Bland-Altman plot for each HRV and EDA parameter and for each condition (1 .png file per each parameter), and an excel file that resumes the Bland-Altman analyses numerical outcomes.
DOI: 10.17632/gdpsnkwjc7.1
title: Activation of GPBAR1 by BAR501, a selective synthetic agonist, reduces vascular inflammation and atherosclerosis in a mouse model of NAFLD-related cardiovascular disease

description: The purpose of this study was to evaluate the effect of GPBAR1 activation in a mouse model of atherosclerosis. For this study, Apolipoprotein E deficient mice (ApoE−/−), a standard model of atherosclerosis, were fed with HFD-F alone or in combination with BAR501 for 14 weeks and then sacrificed. The transcriptome analysis of the aorta showed an anti-inflammatory activity of BAR501 that downregulated the expression of many genes belonging to inflammatory pathways.
DOI: 10.17632/438ytjyzxk.1
title: German FinTech companies: A market overview

description: This dataset comprises a hand collected market overview of the FinTech market in Germany as of December 2021. It includes various verified properties of 978 unique firms, which can be attributed to the financial technology sector and are operating in Germany. Each observation represents one company with 24 variables, including name, address, legal form, founders with corresponding LinkedIn accounts, register number or company-ID, attribution to FinTech segments and subsegments, bank cooperation, URL address, local court, former name, operating status. The dataset contains established companies as well as start-ups. Since the market in Germany and the nature of FinTech companies itself are dynamic as well as changing there is no complete overview of the market. Furthermore, the total number, the operating status as well as specific properties of FinTechs cannot be found in one accumulated data base. The dataset contains valuable information for researchers, practitioners as well as for supervising authorities. We provide the description of variables as well as a taxonomy for categorizing FinTechs. The nature of the dataset enables further cross-sectional and the possibility of longitudinal analyses of the complete market. The aim of the collection procedure was to find and identify all relevant FinTechs operating in Germany with a structured approach. Different databases and websites (see below) were used to obtain an overview of the market. The dataset was repeatedly updated and verified throughout the years within this process. An association to the segment of operations was conducted. Through structured Google searches the status of operating was checked.
DOI: 10.17632/438ytjyzxk.2
title: Dataset of German FinTech companies: A market overview

description: This dataset comprises a hand collected market overview of the FinTech market in Germany as of December 2021. It includes various verified properties of 978 unique firms, which can be attributed to the financial technology sector and are operating in Germany. Each observation represents one company with 24 variables, including name, address, legal form, founders with corresponding LinkedIn accounts, register number or company-ID, attribution to FinTech segments and subsegments, bank cooperation, URL address, local court, former name, operating status. The dataset contains established companies as well as start-ups. Since the market in Germany and the nature of FinTech companies itself are dynamic as well as changing there is no complete overview of the market. Furthermore, the total number, the operating status as well as specific properties of FinTechs cannot be found in one accumulated data base. The dataset contains valuable information for researchers, practitioners as well as for supervising authorities. We provide the description of variables as well as a taxonomy for categorizing FinTechs. The nature of the dataset enables further cross-sectional and the possibility of longitudinal analyses of the complete market. The aim of the collection procedure was to find and identify all relevant FinTechs operating in Germany with a structured approach. Different databases and websites (see below) were used to obtain an overview of the market. The dataset was repeatedly updated and verified throughout the years within this process. An association to the segment of operations was conducted. Through structured Google searches the operating status was checked.
DOI: 10.17632/sd3sf9ft56.1
title: The Impact of Personal Characteristics on Medical Library Professionals' Management of Medical Libraries in North-East India: a quantitative analysis

description: To what extent medical library professionals’ individual characteristics affect how they use library management functions?
DOI: 10.17632/sd3sf9ft56.2
title: The Impact of Individual Characteristics on Medical Library Professionals' Management of Medical Libraries in North-East India: a quantitative analysis

description: To what extent medical library professionals’ individual characteristics affect how they use library management functions?
DOI: 10.17632/wsss2nbsdv.1
title: Data set of Acute Oral Toxicity and Subacute Neurotoxicity Pre-clinical Risk Assessments on Sprague Dawley Rats Treated with Single Dose or Repeated Doses of Flavanoid-Enriched Fraction Extracted from Oroxylum Indicum

description: Here, we present the data set of liquid chromatography-mass spectroscopy (LC-MS), relative organ weight (ROW), hematology, biochemical and histopathological parameters of flavanoid-enriched fraction (FEF)-treated Sprague Dawley (SD) rats. The data set was generated from three study groups: Sighting Study, Acute Toxicity Study and Subacute Neurotoxicity Study with study duration of 14-days (Sighting Study and Acute Toxicity Study) and 28 days (Subacute Neurotoxicity Study) by strictly following the procedures set in Organisation for Economic Co-operation and Development (OECD) Guidelines 420 and Guidelines 424 in vivo. Rats in sighting study were treated with dosage of 5, 50, 300 and 2000 mg/kg FEF (n=1/dosage/gender), respectively, and was observed for mortality, toxicity signs and behavioral changes. For acute toxicity study, the highest dosage from sighting study where the animal survived were selected as the dosage, with higher number of animals (n=5/dosage/gender). Meanwhile, for subacute neurotoxicity study, male and female SD rats (n=5/dosage/gender) were treated with dosage of 50 mg/kg for 28 days. Rat’s behavior were observed daily, body weight were measured weekly, while organs weight were harvested at the end of the study (Day 15). Whole blood were collected at the end of the study via cardiac puncture into EDTA tubes for hematological evaluation that includes red blood cells (RBC), hemoglobin (Hb), packed cell volumes (PCV), mean corpuscular volume (MCV), mean corpuscular hemoglobin (MCH), mean corpuscular haemoglobin concentration (MCHC), platelet, white blood cells (WBC) count and WBC differentials. Meanwhile, blood serum were collected in slow sand filter (SST) tubes for biochemical evaluation such as total protein (TP), albumin, bilirubin, alkaline phosphatase (ALP), aspartate aminotransferase (AST) and alanine aminotransferase  (ALT). All vital organs (brain, liver, kidneys, heart, lungs and reproductive organs) also were collected at the end of the study for histopathological assessments.
DOI: 10.17632/wsss2nbsdv.2
title: Data set of Acute Oral Toxicity and Subacute Neurotoxicity Pre-clinical Risk Assessments on Sprague Dawley Rats Treated with Single Dose or Repeated Doses of Flavanoid-Enriched Fraction Extracted from Oroxylum Indicum

description: Here, we present the data set of liquid chromatography-mass spectroscopy (LC-MS), relative organ weight (ROW), hematology, biochemical and histopathological parameters of flavanoid-enriched fraction (FEF)-treated Sprague Dawley (SD) rats. The data set was generated from three study groups: Sighting Study, Acute Toxicity Study and Subacute Neurotoxicity Study with study duration of 14-days (Sighting Study and Acute Toxicity Study) and 28 days (Subacute Neurotoxicity Study) by strictly following the procedures set in Organisation for Economic Co-operation and Development (OECD) Guidelines 420 and Guidelines 424 in vivo. Rats in sighting study were treated with dosage of 5, 50, 300 and 2000 mg/kg FEF (n=1/dosage/gender), respectively, and was observed for mortality, toxicity signs and behavioral changes. For acute toxicity study, the highest dosage from sighting study where the animal survived were selected as the dosage, with higher number of animals (n=5/dosage/gender). Meanwhile, for subacute neurotoxicity study, male and female SD rats (n=5/dosage/gender) were treated with dosage of 50 mg/kg for 28 days. Rat’s behavior were observed daily, body weight were measured weekly, while organs weight were harvested at the end of the study (Day 15). Whole blood were collected at the end of the study via cardiac puncture into EDTA tubes for hematological evaluation that includes red blood cells (RBC), hemoglobin (Hb), packed cell volumes (PCV), mean corpuscular volume (MCV), mean corpuscular hemoglobin (MCH), mean corpuscular haemoglobin concentration (MCHC), platelet, white blood cells (WBC) count and WBC differentials. Meanwhile, blood serum were collected in slow sand filter (SST) tubes for biochemical evaluation such as total protein (TP), albumin, bilirubin, alkaline phosphatase (ALP), aspartate aminotransferase (AST) and alanine aminotransferase  (ALT). All vital organs (brain, liver, kidneys, heart, lungs and reproductive organs) also were collected at the end of the study for histopathological assessments.
DOI: 10.17632/995vjkhm68.1
title: Dataset and Code for iScience manuscript

description: Datasets and Code for iScience manuscript
DOI: 10.5281/zenodo.4581183
title: Piano sonatas and Beethoven works in Hans Georg Nägelis catalogues

description: This dataset (in two csv files) collects the references to piano sonatas, and to works by Ludwig van Beethoven, in the catalogues published by Hans Georg Nägeli as a bookseller in Zurich between 1792 and 1805. The data was used by the author in his paper "Hans Georg Nägeli as Publisher and Bookseller of Piano Music", presented at the conference Beethoven and the Piano, 4–7 November 2020. The printed version of the article is at present in preparation.