cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/894y2x52sw.1
title: Herbicide effectiveness under elevated CO2 in controling 14 environmental weed species in Australia

description: The data was generated in the "Elevated CO2 and herbicide tolerance" experiment (2012). The experiment followed a randomised fully factorial design, with the factors being CO2 concentration (ambient or elevated) and herbicide treatment (recommended and double recommended label rate). Four glasshouses were used: two at the ambient and two at the elevated CO2 concentration. Ten replicates of each weed species for each CO2 × herbicide treatment combination were grown. These were evenly split between the treatment glasshouses. Additionally, six replicates of each weed species were grown under each CO2 treatment to assess the biomass allocation each species at the time of herbicide application. This could not be done after herbicide treatment due to plant mortality. These plants were harvested into their above- and belowground components on the day of herbicide application and oven-dried at 60oC to constant weight (48 – 72 hours) before being weighed. Pots were randomly rearranged within the glasshouses each fortnight to minimise any within-glasshouse effects. All pots were evenly spaced to minimise shading from neighbouring plants. As Lantana camara and I. indica were propagated from cuttings, they were re-potted into 2.8 L pots after eight weeks and six weeks respectively to allow them ample space for root development. The vine species A. cordifolia and I. indica were trained onto stakes. Pots were mist watered for one minute four times daily. The elevated CO2 treatment was maintained by a dosing and monitoring system (Canary Company Pty Ltd, Lane Cove, NSW, Australia) at 550 ppm, from 6 am to 6 pm, with air continuously circulated within each glasshouse. The elevated CO2 treatment represents the predicted atmospheric CO2 concentration by 2030 under most emissions scenarios (IPCC, 2001). The ambient CO2 treatment was 380 ppm. The glasshouse temperature was set to 17°C at night and 24°C during the day.
DOI: 10.17632/hctwmmpj9r.1
title: Single-molecule analysis of mtDNA replication uncovers the basis of the common deletion

description: Data included in Phillips et al.,
DOI: 10.17632/gzvgryw3s5.1
title: Continuous In Situ Measurement of Dissolved Methane in Lake Kivu Using a Membrane Inlet Laser Spectrometer

description: Here a continuous dissolved CH4 measurements made with an in situ Membrane Inlet Laser Spectrometer instrument at lake kivu on the first 150 m of depth. The measurement were performed from 9th to 13th March 2018 at ~6 km from Goma and ~5 km from Gisenyi/Rubavu at the Northern shore of the lake (1.74087°S - 29.22602°E) and nearby a permanent platform with water depth of 410 m. Data are reported in units of partial pressure, mol per liter of water and in percentage with respect to the total dissolved gas.
DOI: 10.17632/85r7bh4zsz.1
title: Ultra-High-Performance Concrete (UHPC)

description: The dataset for Ultra-High-Performance Concrete (UHPC) includes 810 samples of mixture proportions with 14 data attributes. Among these attributes, compressive strength is considered an output parameter, while other essential variables like cement, curing age, water, nano-silica, quartz powder, limestone powder, aggregate, slag, superplasticizer, fiber, temperature, fly ash, and silica fume are considered inputs.
DOI: 10.17632/3czshz7zpr.1
title: Driver entry into and exit from a car using smartphone sensors

description: Three subjects conducted the experiments, of (a) IN- getting on the car seat, (b) SITTING - sitting there for 2-3 seconds, then (c) OUT - coming out from the car and (d) STANDING - standing out of the car for 2-3 seconds, with the smartphones in their left pocket, with the screen facing the thigh. This activity was performed for 241 times by the 3 subjects combined with the smartphone in the left pocket. i.e. time-series data with 50 samples per second was collected for 241 iterations of each of the four activities listed above. The raw (without any feature engineering) dataset has 15 columns (features) and 121,989 records. This dataset has been made public in two forms which are described below: a) Raw labeled data i.e. without applying any data smoothing or feature extraction. b) Labeled signals which are smoothened and containing all the primary and secondary feature vectors. Also, a fixed width sliding window of 1 sec with 50% overlap is applied on the dataset. The primary features like acceleration, gravity, orientation, linear acceleration, and rotation were recorded over the three axis at a sampling rate of 50Hz. One of the important secondary (derived) data feature derived out of the primary data is the Root Mean Squares (RMS) over the 3 axes for each primary category. RMS is well known engineered feature, and is independent of axis direction, hence making the activity detection independent of the phone orientation in the subject’s pocket. Besides RMS, other aggregation features like mean value, standard deviation, median absolute value, maximum and minimum values are derived from the primary data. Thus, the total number of features including both the primary and secondary data is 120. i.e. 6 aggregation functions (mean, median, minimum, maximum, standard deviation and mean absolute deviation) applied over 5 primary features like acceleration, gravity, orientation, linear acceleration, and rotation with each of these features having 4 components viz. x, y, z axis values and their root mean square. For Raw Labeled Data, as in a) above the legends for the features are as follows: accm - Accelerometer grvm - Gravity Sensor gyrm - Gyrometer lacm - linear Acceleration rotm - Rotation Activity- Labels ; any one out of - {IN, OUT, SITTING, STANDING }
DOI: 10.17632/yxpj8h384j.1
title: Intercultural Sensitivity DataSet

description: This study aims at examining the relationships between the five-factor personality traits of preservice teachers and their intercultural sensitivity.
DOI: 10.17632/pds6tz443t.1
title: Membership of the IMO Commission for Agricultural Meteorology (1913-1947)

description: The dataset has been built as part of a research project on the history of agricultural meteorology in the first half of the twentieth century. The dataset provides information on the members of the technical commission on agriculture established by the International Meteorological Organization (IMO) in the years 1913-1947. The main sources used to build the dataset are the proceedings of the meetings held by the IMO, and in particular the membership lists printed in these proceedings. Information provided by these primary sources has been constantly examined for consistency and correctness and, whenever possible, biographical resources on individual members have been consulted and mentioned in the dataset here presented. The sql files in the dataset allow to re-build the MySQL database that was created to investigate the commission membership and its transformation over time. A copy of the data tables is also available in csv format for the users who wish to access only the data. In the dataset there are twelve tables. Eleven tables provide information (affiliation, nation, city, role in the commission) on the scientists listed as members of the commission for a specific time period. There is a table for each year (1913, 1919, 1921, 1923, 1926, 1929, 1932, 1935, 1937, 1946, 1947) in which a membership list is available. NationH and NationG stands for Nation(History) and Nation(Geography), similarly for cityH and cityG. In this way, it is possible to place commission members also within modern countries and cities, not only their historical counterparts, if one wishes to build a map of the members’ location using current geodata. The role of each member within the commission has only three possible options: president, secretary/vice-president, member. The last table in the dataset, m_all, provides a comprehensive list of all the over one-hundred members of the commission with some biographical details on them (when available). The idmembers value is the unique identifier for each member within this dataset. This dataset has been used in an extensive investigation on the role that the IMO had in promoting international collaboration in agricultural meteorology during the first half of the twentieth century. The data here gathered, however, can be of interest beyond the history of agricultural meteorology. They also offer relevant materials to scholars more generally concerned with the work of the IMO, and the database structure provides a template for similar data collection work on other IMO technical commissions. These commissions were key places for sharing meteorological and climatological knowledge between mid-nineteenth century and mid-twentieth century and they certainly deserve more attention than the one they have so far received from scholars. I gratefully acknowledge the financial support of the German Research Foundation (DFG) (Project No. 321660352) in the preparation of this dataset.
DOI: 10.17632/pp85pjm23f.1
title: Code and data for "Value chain carbon footprints of listed companies in China"

description: Here I present the main code used in the paper "Value chain carbon footprints of listed companies in China" and the data for results.
DOI: 10.17632/6jzfpzmks6.1
title: Data for Exhausted Heart Rate Responses to Repeated Psychological Stress in Women with Major Depressive Disorder

description: This is the data used for the manuscript "Exhausted Heart Rate Responses to Repeated Psychological Stress in Women with Major Depressive Disorder" published in Frontiers in Psychiatry 2022. Two sheets are present: One containing Demographic and psychophysiological data and the other one containing the Visual Analogue Scale (VAS) data for the item "Stress". In the demographic data file the timepoint indicates BL= baseline S1=Stress1, R1_1=recovery 1, S2=Stress2 and R2_1= recovery 2. For any particular question you can contact me on carmen.schiweck@kgu.de
DOI: 10.17632/8458tgzc73.1
title: Data for: A new Vs30 map for Italy based on the seismic microzonation dataset

description: -3 RAR files: raster file for Vs30 mean, Vs30-sigma, Vs30+ sigma -legend.qml: style for Vs30 raster file visualization for QGIS users
DOI: 10.17632/b3pn4kwpmn.3
title: Database for Emotion Recognition System Based on EEG Signals and Various Computer Games - GAMEEMO

description: This dataset includes computer games-based EEG signals. They are collected from 28 different subjects with wearable and portable EEG device called 14 channel Emotiv Epoc+. Subjects played emotionally 4 different computer games (boring, calm, horror and funny) for 5 minutes and totally 20 minutes long EEG data available for each subject. Subjects rated each computer game based on the scale of arousal and valence by applying SAM form. We provided both raw and preprocessed EEG data with .csv and. mat format in our data repository. Each subject's rating score and SAM form are also available. The aim of this dataset is to provide an alternative data for emotion recognition process and show the performance of wearable EEG devices against traditional ones. In the main folder (GAMEEMO) researches will find 29 different folders (28 for subjects and 1 for gameplay). S01, S02, ... represents the subjects who participated in the experiment. Gameplay folder shows the gameplay of each game. In each subjects folder, researchers will find preprocessed EEG data, raw EEG data csv and .mat format. Also SAM ratings are available with .pdf format. Games are represented as G1, G2, G3, and G4. G1 refers Game 1, G2 refers G2, and so on.
DOI: 10.17632/94hhxg2vtz.1
title: Dataset of transcriptome assembly of Atractylodes chinensis

description: The rhizome of Atractylodes chinensis contains a greater concentration of active ingredients compared to the leaves. This study sequenced the transcriptome of leaves and rhizomes of a two-year-old A. chinensis using an Illumina NovaSeq X Plus system. The sequencing data was corrected, filtered and assembled to acquire the unigene.fasta. The differentially expressed genes were enriched in KEGG pathway, as shown in the file G1vsY1.all_KEGGenrich.xls. The dataset can be used to find the differentially expressed genes between the rhizome and leaves of A. chinensis
DOI: 10.17632/5cmp47vs8s.1
title: A SYSTEMATIC REVIEW EVALUATING THE ESSENTIAL METHODOLOGICAL ELEMENTS OF CONSENSUS

description: A consensus is defined as a general agreement, implicit or explicitly expressed, among the members of a group. It aims to gather expert input iteratively until a consensus is reached, but there are no established methodological criteria for conducting and analyzing these studies. Our objective was to investigate the existence of different elements within consensus studies and to compile a list of candidate items for validating studies that employ consensus methodologies to enhance the methodological rigor of those studies. The data is recorded in an Excel file with the different tabs of the document, representing aspects of the systematic review.
DOI: 10.17632/yb9rmfjzc2.1
title: Handwritten Devanagari Characters – Vowels, Consonants and Numerals for Devanagari CAPTCHA generation (44,000 Isolated images)

description: Designing Handwritten Devanagari CAPTCHA, selected only 34 alphabet images and  rejected 19 images from character set so that it does not create any confusion for humans for identification and retain its usability.
The data set contains handwritten samples of Devanagari Vowels, Consonants and numerals  (i.e., 4 Vowels, 30 Consonants and 10 numerals). In total the dataset contains 44 different Devanagari characters. The data is collected on a canvas created using python. More than hundred  (100 +)  Devanagari language users  of all age groups are selected including left handers and right handers. Each user write 440 characters (44 characters * 10 times) on the canvas. In total  44,000 (Forty Four Thousand) character images were collected. 
Data is  pre-processed and resized, and stored in a publicly accessible location. By removing the occluded images and scribbles, the final data set contains a total of 44,000 digitized images where 10,000 Devanagari Numerals (10 numerals  * 1000 of each) , 4000 Vowels (4 Vowels  * 1000 of each), 30,000 consonants ( 30 Consonants * 1000 of each). Each image is in.jpeg format and has a grayscale data type. Image Resolution is 65 by 65, 1.5 kb of storage were needed. Thus, whereas a total of 50 MB of date storage was needed, 162 MB were actually required.
This data separated manually into respective folders. The data is also available in the form of CSV files with training and testing sets with labels attached. The data set also available in  .zip format.

Numeral's (10)  - ०  १  २  ३  ४  ५  ६  ७  ८  ९, Vowels(4) - अ इ उ  ए , Consonants (30)- क ख ग घ च  छ ज झ ट ड ढ ण त  थ  द  ध न प ब भ म य र ल व श ष स ह ळ
DOI: 10.17632/9z5yvdjvtc
title: 2014-2023 years cut-off low dates

description: Figure displays the spatial distribution of cut-off lows during the dust events over East Asia and the time series of cut-off lows.
DOI: 10.17632/2b3n86gr25.1
title: Rocchi_et_al_EPI_BOLD_data

description: The hereby provided zipped folder contains for each figure the corresponding statistical parametric maps in original EPI ("low resolution", lowres) space as per the acquistion matrix reported in the methods section of the manuscript. 

For visualization purposes, in our manuscript each of these maps has been spatially normalized to a high resolution (highres, 70um resolution) anatomical MRI template. The aim of this step was to increase anatomical localization of the mapped effects.

This spatial normalization can be simply generated using the scripts and templates contained in the two accessory directories included here, following the instructions therein contained.

For more details please consult the original work: Rocchi, F*., Canella, C.*, Noei, S.*, Gutierrez-Barragan, D., Coletta, L., Galbusera, A., ... & Gozzi, A. (2022). Paradoxical fMRI overconnectivity upon chemogenetic silencing of the prefrontal cortex. Accepted for publication in Nature Communications
DOI: 10.17632/j3z5bm7496.1
title: Airline Delay Data

description: Data that looks at how market structure affects delays for US domestic flights between the years 2004 - 2017. Data on airline delays come from the Airline On-Time Performance Data (OTPD) from the US Bureau of Transportation Statistics. The data on tail numbers and seat capacity come from the Federal Aircraft Administration Aircraft Registry. The data on flight-related whether comes from the Local Climatological Data (LCD) provided by the National Center for Environmental Information.
DOI: 10.17632/5zhcjv36rp.2
title: FAKULTAS EKONOMI DAN BISNIS

description: Business economics is a field in applied economics which uses economic theory and quantitative methods to analyze business enterprises and the factors contributing to the diversity of organizational structures and the relationships of firms with labour, capital and product markets.[1] A professional focus of the journal Business Economics has been expressed as providing "practical information for people who apply economics in their jobs."[2] Business economics is an integral part of traditional economics and is an extension of economic concepts to the real business situations. It is an applied science in the sense of a tool of managerial decision-making and forward planning by management. In other words, business economics is concerned with the application of economic theory to business management. Business economics is based on microeconomics in two categories: positive and normative. Business economics focuses on economic issues and problems related to business organization, management, and strategy. Issues and problems include: an explanation of why corporate firms emerge and exist; why they expand: horizontally, vertically and spacially; the role of entrepreneurs and entrepreneurship; the significance of organizational structure; the relationship of firms with employees, providers of capital, customers, and government; and interactions between firms and the business environment.
DOI: 10.17632/j4zssvyf98.1
title: Mechanistic Insights into GPCR-Gαβγ Complex Initiating Nucleotide Exchange

description: Raw data for Figure 1B
Raw data for Figures 2A-2G
Uncut Native-PAGE for Figure S2B
Uncut SDS-PAGE for FPLC fractions
DOI: 10.17632/27c8pwsd6v.3
title: N-RDD2024:Road damage and defects

description: The RDD2022 dataset contains road images from six countries (India, Japan, Czech Republic, Norway, China, and USA). However, in the presented dataset, four damage types were considered. There are many road defects in road networks. The edited and updated dataset is called N-RDD2024. 10 different types of defects were considered in this dataset. The defect classes labeled are longitudinal cracks (D00), transverse cracks (D10), alligator cracks (D20), repaired cracks (D30), potholes (D40), pedestrian crossing blurs (D50), lane line blurs (D60), manhole covers (D70), patchy road sections (D80) and rutting (D90), respectively. The process of detecting and classifying all defects in road pavement will become more robust for institutions/organizations and researchers.
DOI: 10.17632/cmh7p57cxn.1
title: Melasma

description: Supplemental Material
DOI: 10.17632/44rb96872r.1
title: Annotated Impact Echo Dataset (bare decks)

description: The dataset includes 2,016 impact echo signals from eight identical laboratory-made concrete specimens. This dataset is annotated in two classes: sound concrete (Class S) and defected concrete (Class D).
DOI: 10.17632/8wrysjbsny.1
title: Expert evaluation of the content validity of the Self-Perceived Health Scale (SPHS-12)

description: The objective of conducting this expert evaluation was to assess the degree of relevance among the items to support the proposed conceptual definition, and the degree to which the number of items was sufficient to adequately represent their respective factor. To this end, the experts who agreed to participate were given an e-mail form asking them to evaluate on a scale of 1 (Not at all relevant) to 5 (Fully relevant) each of the items; and on a scale of 1 (Not at all represented) to 5 (Fully represented) the degree to which the items were sufficient to support their respective factors. This was done as we sought to ensure that the final items were sufficiently consistent with the proposed conceptual definition, while achieving adequate conceptual coverage of their factors [50].
This database shows the seven expert contacts' evaluations of the degree of relevance of the items to the conceptual definition of the Self-perceived Health construct (Rows 1-55), and the degree to which the items sufficiently represent their factors (Rows 59-68).
For this, the experts evaluated each item on a scale of 1 to 5 using the attached Word form. 
In column I, the mean score is shown, and in column J the Aiken V is shown.
In column K is the number of judges who evaluated each item and in column R are the values of Aiken's V together with their 95% confidence intervals.

For detailed information on the analysis procedures performed in columns L, M and N, please refer to https://doi.org/10.20882/adicciones.1213.
DOI: 10.17632/vc6vwbrzs4.1
title: Jack of all trades: genome assembly of Wild Jack and comparative genomics of Artocarpus

description: This dataset comprises all the annotation sequences, figures and other relevant data incorporated in the manuscript.
Abstract:
Artocarpus (Moraceae), known as breadfruits for their diverse nutritious fruits, is prized for its high-quality timber, medicinal value, and economic importance. Breadfruits are native to Southeast Asia but have been introduced to other continents. The most commonly cultivated species are Artocarpus heterophyllus (Jackfruit) and Artocarpus altilis (Breadfruit). With numerous smaller but nutritionally comparable fruits on a larger tree, Artocarpus hirsutus, also called "Wild jack" or "Ayani", is an elusive forest species endemic to Indian Western Ghats. In this study, we sequenced and assembled the whole genome of Artocarpus hirsutus sampled from the sacred groves of Coorg, India. To decipher demographic and evolutionary history, we compared our Wild jack genome with previously published Jackfruit and Breadfruit genomes. Demographic history reconstruction indicates a stronger effect of habitat rather than phylogeny on the population histories of these plants. Repetitive genomic regions, especially LTR Copia, strongly affected the demographic trajectory of A. heterophyllus. Upon further investigation, we found a recent lineage-specific accumulation of LTR Copia in A. heterophyllus, which had a major contribution to its larger genome size. Several genes from starch, sucrose metabolism, and plant hormone signal transduction pathways, in Artocarpus species, had signatures of selection and gene family evolution. Our comparative genomic framework provides important insights by incorporating endemic species such as the Wild jack.