cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.25904032.v1
title: MCSCI Calculations

description: The folder features six files, a two channel calculation (c2L80) and a seven channel calculation (c7L80). Each of these calculations were done at three geometries, (g1d1, g1d15, g1d2) which correspond to bond lengths (1.1, 1.15, and 1.2 Å).The matrix elements are in text files where each line contains one matrix element of the form:State, M_initial, M_target, DEAU, TKIN, L_ele, M_ele, Mu_dipole, Type, Element, ipmT, whereState - ion state labelM_initial - azimuthal quantum number of the initial neutral target stateM_target - azimuthal quantum number of the remaining ionic stateDEAU - ionization potential of the state in atomic unitsTKIN - asymptotic photoelectron momentum in atomic unitsL_ele - asymptotic orbital angular momentum of the photoelectronM_ele - azimuthal quantum number of the photoelectronMu_dipole - azimuthal quantum number of the dipole operatorType - 1 for the dipole length form and 2 for the dipole velocity formElement - Real and imaginary parts of the dipole matrix elementsipmT - for the sigma final total state with M_target+M_ele = 0, gives the +/- symmetry of the state. For other non-Sigma total states this variable is set to zero<br>In the program used to perform the calculations, the matrix elements are written as<br><br>In this form the azimuthal quantum numbers then satisfy:M_initial = Mu_dipole + M_target + M_eleThe photon energy in eV is given by(DEAU + (1/2)*TKIN*TKIN)*27.21161Note that the matrix elements are not necessarily ordered by energy so you should first sort by the asymptotic photoelectron kinetic energy.The amplitudes are partial-wave expanded in complex valued spherical harmonics as in Eq. (40) of Phys. Rev. A 25, 2572 (1982).
DOI: 10.17632/hz2yt8khf8
title: SMA libraries for metabolite identification and quantification in Mentha longifolia extracts

description: Metabolite library built from NMR spectra for metabolomic analysis of leaves' hydroalcholic extract (80% MeOH) from wild mountain Mentha longifolia, using the Simple Mixture Analysis (SMA) tool implemented in MestreNova 14.1 software.
DOI: 10.17632/k9xwb5hyzn
title: Good and Bad Classification of Pigweed leaf (Chenopodium album)

description: The project focuses on classifying pigweed leaves into "good" and "bad" categories using a dataset comprising more than 500 images. All images were captured using a Samsung F62 mobile camera, ensuring a consistent and standardized data collection process. The leaves were photographed against a black background in daylight conditions to minimize environmental variations.

Dataset Composition:

Good Samples (Healthy): Over 500 images showcase healthy pigweed leaves, capturing their vibrant colors, normal growth patterns, and overall well-being. These images serve as positive examples for training the machine learning model.

Bad Samples (Unhealthy): An equivalent number of images feature pigweed leaves affected by diseases, pests, nutritional deficiencies, or environmental stressors. This negative class provides diverse instances of unhealthy leaves for model training and evaluation.

Data Collection Setup:
Images were captured using the Samsung F62 mobile camera to ensure high-quality and consistent visual representation. The use of a black background enhances the contrast, making it easier for the model to focus on leaf characteristics.

Lighting and Environmental Conditions:
All images were taken under daylight conditions to maintain natural lighting, mimicking real-world scenarios. This setup aims to enhance the model's robustness by exposing it to variations in lighting that might occur in practical field applications.

Image Characteristics:
The dataset includes pigweed leaves exhibiting various shapes, sizes, and degrees of damage. This diversity ensures that the model can generalize well and accurately classify leaves under different conditions.

Data Annotation:
Each image in the dataset is meticulously annotated to indicate whether it falls into the "good" or "bad" category. These annotations serve as the ground truth for model training, validation, and testing.

Data Preprocessing:
Preprocessing steps involve resizing, normalization, and background standardization to optimize the input for the machine learning algorithm. These steps contribute to the model's ability to handle variations and improve overall performance.

Objective:
The project aims to develop a robust machine learning model capable of accurately classifying pigweed leaves as "good" or "bad" based on visual cues captured by the Samsung F62 mobile camera. The application of this model can aid farmers in early detection of issues affecting pigweed crops, facilitating timely intervention for improved crop management.

Outcome:
The project seeks to deliver a trained model with practical applications in agriculture, specifically assisting farmers in making informed decisions about their pigweed crops. The performance of the model will be rigorously evaluated to ensure its accuracy and effectiveness in real-world scenarios, contributing to advancements in precision agriculture.
DOI: 10.6084/m9.figshare.4476404.v3
title: SMS for alcohol

description: Results from a trial comparing different types of text messaging on problem drinking outcomes. To be published in PLoS One for review of methods.
DOI: 10.17632/34jwfyvkmm
title: Milan Test of Rhythmic Ability (MITRA) - Audiomotor integration of rhythmic hand tapping

description: This material includes ERP data collected in musicians and controls during processing of biological motion (namely rhythmic hand tapping), example of experimental stimuli used and the original version of Milan Test of Rhythmic Ability (MITRA). The test can be administered auditorily, and requires the vocal reproduction from the patient. This method avoids impediments due to poor motor skills or finger dexterity/agility, which would interfere with the resolution of the rhythmic reproduction task.
Test vocal stimuli can be requested for research purposes only, upon appropriate acknowledge and quotation of the present source. 
The first part of the test can be administered to non-musicians; The second portion of the test is rather challenging. 
The normative data indicated a significantly higher mean score in professional musicians (14/20, SD= 2.12) than in musically naive controls (6.5/20, SD= 0.71)
DOI: 10.6084/m9.figshare.3527753.v1
title: Appendix A. Sources of continental bird species richness data.

description: Sources of continental bird species richness data.
DOI: 10.17632/74ycfbf6vk
title: Cultural distance, firm boundaries, and global sourcing

description: Casual observation suggests that cultural differences play an important role in business transactions, yet systematic evidence on this relationship is scarce. This paper provides a novel investigation of the effect of cultural distance on multinational firms’ decisions to integrate their cooperation partners into firm boundaries, rather than transact with independent companies at arm’s-length. To guide our empirical analysis, we develop a simple theoretical model which suggests that (i) cultural distance between contracting parties decreases the relative attractiveness of integration, and (ii) this effect is mitigated in more productive firms. We test these predictions using extensive product-, industry-, and firm-level data. We find a robust negative relationship between cultural distance and the relative attractiveness of integration. In line with our theoretical predictions, we also find that the effect of cultural distance on firm boundaries is less pronounced the higher firm’s productivity. https://doi.org/10.1016/j.jdeveco.2023.103175
DOI: 10.6084/m9.figshare.17912507.v1
title: diagnostic statement dictionary

description: This file describes the AHA statements and codes used in ECG records
DOI: 10.6084/m9.figshare.5577592.v1
title: Supplementary Material for: Pleurodesis Using Mistletoe Extract Delivered via a Spray Catheter during Semirigid Pleuroscopy for Managing Symptomatic Malignant Pleural Effusion

description: <b><i>Background:</i></b> Talc poudrage during thoracoscopy is considered the standard procedure for patients with symptomatic malignant pleural effusion (MPE). Until now, no alternative technique other than talc poudrage for pleurodesis during medical thoracoscopy has been proposed. Liquid sclerosants, such as mistletoe extract, have been sprayed evenly into the pleural cavity during semirigid pleuroscopy for chemical pleurodesis. <b><i>Objective:</i></b> We conducted a retrospective study using the database of semirigid pleuroscopy to identify the usefulness of pleurodesis using a mistletoe extract delivered via a spray catheter during semirigid pleuroscopy for symptomatic MPE. <b><i>Methods:</i></b> All consecutive patients with symptomatic MPE who underwent semirigid pleuroscopy from October 2015 to September 2016 were registered. The responses were evaluated using chest X- ray or computed tomography 4 weeks after pleurodesis. <b><i>Results:</i></b> The study included 43 patients who underwent pleurodesis with mistletoe extract via a spray catheter during semirigid pleuroscopy. Complete and partial responses were seen in 21 (49%) and 19 (44%) patients, respectively. The median duration of chest tube placement after pleurod­esis was 7 days (range 6–8 days) in the 40 patients with complete or partial responses. No cases of severe hemorrhage, empyema formation, respiratory failure, or procedure-related mortality were observed in the subjects at 4 weeks after semirigid pleuroscopy. <b><i>Conclusion:</i></b> Pleurodesis with mistletoe extract delivered via a spray catheter during semirigid pleuroscopy is a safe and effective procedure for managing symptomatic MPE.
DOI: 10.17632/m28wjdvdsj
title: PERFORMANCE ANALYSIS OF QUADRUPED ROBOT DESIGNED WITH DESAI’s WALKING LEG MECHANISM

description: This paper demonstrates the Optimization of a single degree of freedom Desai’s walking leg mechanism having 8 links, using SAM 6.1 software. The Kinematic analysis of the walking mechanism & motion analysis of a quadruped robot is performed in SOLIDWORKS. The Optimization is performed on a Quadruped robot subjected to motion along a straight path and a staircase to determine the optimized length of linkages, fixed joints' position, and walking path. By comparing the motion analysis on SAM and 3D motion analysis on SOLIDWORKS, this optimized walking mechanism can be used for a robot to work on different terrains. The optimized model is compared with Desai’s, Theos Jansen’s, and Joe Klann’s walking mechanism.
DOI: 10.17632/vwy3hj5h8n
title: consent-chain-project

description: This project presents the structure and functionality of a blockchain-based dynamic consent model that we are developing in order to determine the efficacy of blockchain technology in supporting genomic data sharing. Implemented on the Ethereum test blockchain, the model’s web-based portal allows patients to store and update their consent and track their data. Likewise, healthcare professionals can review and securely access patient data upon patient consent. All data transitions and sharing between participants are recorded in a tamper-proof manner, enabling data auditing at any time.
DOI: 10.17632/xhrjybhhwb
title: At 180 Days Hidradenitis Suppurativa Readmission Rate is Comparable to Heart Failure: Analysis of the Nationwide Readmissions Database - supplemental material

description: Supplemental material for the study: Used ICD-10-CM diagnosis codes
DOI: 10.17632/ztjzfjyjm4
title: Transformación digital de las organizaciones

description: Artículos y materiales de investigación de Jorge Alberto Hidalgo Toledo
DOI: 10.17632/xywf6m8grj
title: Fetal heart rate dataset

description: Fetal heart rate dataset for paper:Artificial Intelligence-Driven Cardiotocography: Unified Model for Signal Reconstruction, Fetal Heart Rate Analysis, and Variability Assessment
DOI: 10.6084/m9.figshare.22338265.v1
title: LBNL FDD Data Sets RTU

description: The DOE and Berkeley Lab have partnered across the national laboratory complex and with the research community to curate, validate, and publish the world’s largest set of labeled time-series data representing commercial HVAC systems operating in faulted and fault-free states. The data sets currently cover rooftop units, single-duct air handler units, dual-duct air handler units, variable air volume boxes, fan coil units, chiller plant, and boiler plant. Each data set includes from 20 to more than 100 data points that are commonly monitored in today’s buildings. This operational data is paired with ground truth information indicating which faults are present during which time periods.
DOI: 10.6084/m9.figshare.1490071.v3
title: daily ocean time-series non-demultiplexed, raw

description: time-series
DOI: 10.6084/m9.figshare.18530531.v1
title: Profiling of endogenous DNA double-strand breaks during neural cell fate determination using sBLISS.

description: Abstract: Naturally occurring endogenous DNA double-strand breaks (DSBs) have been detected in neuronal cells and implicated in the pathogenesis of neurodevelopmental disorders (NDDs). Here, we describe a genome-wide atlas of endogenous DSBs mapped by suspension Breaks Labeling In Situ and Sequencing (sBLISS) in proliferating neuroepithelial stem (NES) cells in culture, neural progenitor cells (NPC) after 6 days of NES differentiation towards neurons, and post-mitotic neurons (NEU) after 35 days of differentiation. Genome-wide DSB maps were highly reproducible between biological replicates of the same cell type, at multiple resolutions down to 10 kilobases (kb). To validate our datasets, we examined the distribution of DSBs in different genomic regions, demonstrating that endogenous DSBs are enriched around transcriptionally active promoters and chromatin loop anchors mapped by high-throughput chromosome conformation capture (Hi-C), in line with previous findings in different cell types. Lastly, we assessed DSBs in the promoter region and along the gene body of NDD risk genes, demonstrating that these genes have a significantly higher burden of DSBs compared to all other genes in all the three cell types examined, confirming prior observations using different DSB-detection strategies. Our datasets represent a valuable resource for exploring genome fragility during neural cell fate determination and assessing its contribution to the pathogenesis of neurodevelopmental disorders.<br>Data: This repository contains processed data files from sBLISS performed on three different stages of neuronal differentiation (2 replicates each). Raw data is available at
DOI: 10.17632/j74rcf56fy
title: Supplementary materials of the article: "GPT-Polished Writing Increases the Risk of Manuscripts Being Labeled as AI-Generated", Wang et al.

description: Supplementary materials of the article: "GPT-Polished Writing Increases the Risk of Manuscripts Being Labeled as AI-Generated" - Version 3
DOI: 10.6084/m9.figshare.4785709.v1
title: Supplementary Material for: Gross Hematuria Is More Common in Male and Older Patients with Renal Tuberculosis in China: A Single-Center 15-Year Clinical Experience

description: <b><i>Objectives:</i></b> This study aimed to investigate the clinical features of renal tuberculosis and identify the age- and gender-related differences. <b><i>Methods:</i></b> A total of 419 patients at the Peking University First Hospital from January 2000 to July 2015 were retrospectively reviewed. Data on demographic characteristics, clinical presentation, complications, laboratory results, radiologic imaging, surgical procedures, and pathology features were collected and compared between genders and 3 different age groups (under 40 years, 41-60, years and over 60 years). <b><i>Results:</i></b> The most common local presentations were lower urinary tract symptoms (65.2%), flank pain (37.9%), and gross hematuria (26.3%). Constitutional symptoms were also observed in 38.9% of the patients. Gross hematuria was more common in male patients (32.2%) and older patients (45.5%). Flank pain was more common in female patients (43.6%). Patients younger than 40 years of age had lower frequencies of calcification of the urinary tract (22.2%) and kidney atrophy (4.2%) in CT. In the postoperative pathological reports, atrophy (35.9%) and fibrosis (38.5%) were found to be significantly more common in older patients. <b><i>Conclusions:</i></b> While gross hematuria is more prevalent in older patients and male patients, flank pain is more common in female patients. Radiological and pathological features including calcification of the urinary tract, fibrosis, and kidney atrophy are more common in older patients.
DOI: 10.17632/3j3wf7jx9y
title: Energy consumption & Capacity of India (1965-2022)

description: The hypothesis of the study is whether India could achieve its Renewable energy targets by 2030 or not. The data consists of Total energy consumption, Renewable energy consumption and Renewable energy capacity of India over a period of 58 years (1965 - 2022). The RE Capacity data was derived from REC data using adequate conversion techniques. The results of the study showed that if the current trend of growth rate follows in the future, then reaching the target is quite impossible for India.
DOI: 10.17632/68ycn9sgbr
title: Flexible 3D printed EEG electrodes

description: Design files for passing to a 3D printer using Cura or similar. These are then coated in Silver/Silver-Chloride to make an EEG electrode.
DOI: 10.17632/7cvh5wmx8p
title: Smart-Toy and Smart-Bedsheet Dataset Based on Pressure Mapping Smart Textile

description:       For details about the two datasets, please read ''introduction_to_the_two_datasets.pdf".
      Based on the pressure mapping smart textile, we have developed two applications: Smart-Toy and Smart-Bedsheet, as shown in Fig. 1 and Fig. 3. For the Smart-Toy, we were interested in common interactions with this plush toy in life (20 actions in total as shown in Fig. 2) and invited 10 participants (5 females and 5 males, aged 23∼35) to create the Smart-Toy dataset, the details of which are presented in section 2. For the SmartBedsheet, we used it to identify common sleeping postures (11 postures in total as shown in Fig. 4), and we invited 13 participants (4 females and 9 males, the weight ranges from 42kg to 110kg, and the height ranges from 155cm to 188cm) to create the Smart-Bedsheet dataset, the details of which will be introduced in section 3. 
      Welcome to visit our website: http://pplab.ustc.edu.cn/. If you have any questions about the two datasets, please feel free to contact us (gtpplab@mail.ustc.edu.cn)

Funding
      Our work is supported ”the National Natural Science Foundation of China” (Grant No.62072420) and ”the Fundamental Research Funds for the Central Universities” (Grant No.2150110020).

1. Smart-Toy dataset
      A Smart-Toy was created as a 3D application. The majority of the toy’s surface is covered with a 23 × 16 textile sensor matrix, with a spatial resolution of 1.5cm × 1.5cm, as shown in Fig. 1b. The pressure sensitive textile is sewn onto the inner side of the plush toy’s skin, flipped, and folded together with the skin into a cuboid. The pressure distribution is digitalized by on-chip 12-bits ADCs in the dsPIC33F and transmitted wirelessly via Bluetooth to a smart phone at 41 frames/second. Ten healthy adults (5 females and 5 males, aged 23∼35) were invited to create the play interaction dataset. They followed the instructions from the computer and carried out 20 play interactions (as shown in Fig. 2) in a random order (one session). Each participant finished 10 sessions. We manually label each instance by observing video recordings and pressure distribution changes. 

2. Smart-Bedsheet dataset
      A Smart-Bedsheet is covered with a 56 × 40 textile sensor matrix on the surface, with a spatial resolution of 3.2cm × 2.3cm, as shown in Fig. 3. The pressure distribution is digitalized by on-chip 12-bits ADCs in the STM32F303ZET6 and transmitted via USB to a laptop at 55 frames/second. Thirteen healthy adults (4 females and 9 males, the weight ranges from 42kg to 110kg, and the height ranges from 155cm to 188cm) were invited. They followed the instructions from the organizer, completed 11 sleeping postures (as shown in Fig. 4) in a random order, and each posture lasted for about 5 seconds. Each participant finished 10 sessions. Although each posture lasted 5 seconds in each session, these frames are extremely similar, so we propose to take a random frame as the instance of this posture.
DOI: 10.17632/9zfszz3nxn
title: Data for: Effect of Ho doping on the crystal structure, surface morphology and magnetic property of BiFeO3 thin films prepared via the sol-gel technology

description: data including fig, table and manuscript
DOI: 10.17632/t2k7z4wsj4
title: Dataset for: Nutrispace: A Novel Color Space to Enhance Deep Learning Based Early Detection of Cucurbits Nutritional Deficiency

description: This dataset is an extension of our research titled "Nutrispace: A Novel Color Space to Enhance Deep Learning Based Early Detection of Cucurbits Nutritional Deficiency," which is currently under review. For utmost reproducibility, we've included a ZIP file and a Python file:

The ZIP file, "dataset_images," comprises 2700 segmented RGB images spanning 9 classes. The dataset is balanced and divided into train, validation, and test sets with a ratio of 0.70:0.15:0.15. 

Class distribution of the dataset:
Crop           | Class            | Number of samples
---------------|------------------|-------------------
Ash gourd      | Healthy          | 300
Ash gourd      | N deficiency     | 300
Ash gourd      | K deficiency     | 300
---------------|------------------|-------------------
Bitter gourd   | Healthy          | 300
Bitter gourd   | N deficiency     | 300
Bitter gourd   | K deficiency     | 300
---------------|------------------|-------------------
Snake gourd    | Healthy          | 300
Snake gourd    | N deficiency     | 300
Snake gourd    | K deficiency     | 300
---------------|------------------|-------------------
               |                  | Total = 2700

The converter.py file is a Python class file for transforming the RGB images to HSV, CIELAB, and our proposed color space - Nutrispace. The .py file contains a short documentation within it for the ease of use.
DOI: 10.15468/dl.9mym2y
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Platytroctes Günther, 1878",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((26.9648 10.8496,17.9648 10.8496,17.9648 1.8496,26.9648 1.8496,26.9648 10.8496))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012951-250525065834625/datasets/export for details.
DOI: 10.17632/dsv57bhf65
title: Acetylated Proteomics in Figure 5A and B from Paper "Pyruvate Metabolism Enzyme DLAT Promotes Tumorigenesis by Suppressing Leucine Catabolism"