cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/frrv2yd9rg
title: Data for: Spectra Data Classification with Kernel Extreme Learning

description: Datasets for Spectra Data Classification: "FTIR_Spectra_instant_coffee.csv": contains a collection of 56 mid infrared diffuse reflectance (MIR-DRIFT) spectra of lyophilized coffee produced from two species: arabica (29 samples) and canephora var. robusta (27 samples). The data are described in full in the journal paper "Near- and Mid-Infrared Spectroscopies in Food Authentication: Coffee Varietal Identification" (Downey G. et al, J. Agric. Food Chem. 45 (11) 4357-4361 (1997)). "MIRFreshMeats.csv": Duplicate acquisitions from 60 independent samples. Raw data matrix size [448 x 120]. Obtained using Fourier transform infrared (FTIR) spectroscopy with attenuated total reflectance (ATR) sampling. As described in "Mid-infrared spectroscopy and authenticity problems in selected meats: a feasibility study" Al-Jowder O, Kemsley E K, Wilson R. H.(1997) Food Chemistry 59 195-20. "MIR_Fruit_Purees.csv": contains a collection of 983 Mid-infrared spectra collected from different authenticated fruit purees in one of two classes: "Strawberry" (purees prepared from fresh whole fruits by the researchers) and "NON-Strawberry" (diverse collection of other purees, including: strawberry adulterated with other fruits and sugar solutions; raspberry; apple; blackcurrant; blackberry; plum; cherry; apricot; grape juice and mixtures of these.Spectra were acquired from each puree using attenuated total reflectance (ATR) sampling. The acquisition order was randomized with respect to sample type. The data are described in more detail in the journal paper "Use of Fourier transform infrared spectroscopy and partial least squares regression for the detection of adulteration of strawberry purees" Holland JK, Kemsley EK, Wilson RH. (1998). Journal of the Science of Food and Agriculture, 76, 263-269 "FTIR_Spectra_olive_oils.csv": contains a collection of 120 Mid-infrared spectra collected from 60 different authenticated extra virgin olive oils, supplied to the Institute of Food Research, UK, by the International Olive Oil Council.Spectra were acquired from each oil using attenuated total reflectance (ATR) sampling. The acquisition order was randomized with respect to the country of origin code. Once all the samples had been examined once, a second acquisition session commenced, to produce a second spectrum from each sample. Again the acquisition order was randomized with respect to country of origin. thus, duplicate spectra were collected from all samples. The data are described in full in the journal paper "FTIR spectroscopy and multivariate analysis can distinguish the geographic origin of extra virgin olive oils" (Tapp H.S. et al, J. Agric. Food Chem. 51 (21) 6110-5 (2003)). These data are free to analyse and redistribute for academic purpose; if you do so, please acknowledge the original sources (webpage and/or citation above).
DOI: 10.17632/ygvk27vgxb
title: New measurements of Fe solubility in liquid Mg up to 1450°C and reassessment of the Fe-Mg system

description: The present data are associated with a research article dealing with new measurements of iron content in liquid magnesium up to 1450°C and making use of this new dataset to propose a revised Calphad modeling of the Mg-Fe system. The present dataset contains :

1. The new liquidus composition as well as previous dataset from the literature. 
2. The POP file that has been used to optimize the parameters from the Calphad model using the PARROT module of the ThermoCalc software.
3. All EXP files that have been used to build the figures enclosed in the paper
4. The TDB file resulting from the final optimization.
DOI: 10.25389/rcssd.6298316.v3
title: Equal representation is a greater problem off-stage than on it

description: Important article from The Stage by Alistair Smith highlighting issues of lack of diversity and gender imbalance - particularly within professional musicians working in the theatre.
DOI: 10.6084/m9.figshare.16798177.v1
title: HDF5 files generated during HELAO hardware in the loop runs

description: These are the HDF5 files that conatin all data handled by the orchestrator in the paper with the title Enabling modular autonomous feedback-loops in materials science through hierarchical experimental laboratory automation and orchestration authored by Fuzhan Rahmanian, Jackson Flowers, Dan Guevarra, Matthias Richter, Maximilian Fichtner, John M. Gregoire, and Helge S. Stein. The sequential and paralell run are in two separate files as these were run in different sessions.
DOI: 10.6084/m9.figshare.22087148.v1
title: Supplementary Material for: Point of Care Ultrasound Training in Nephrology: Twitter Poll as a Modern Tool for Development of an Effective Curriculum

description: <b><i>Introduction:</i></b> Point of care ultrasonography (POCUS) is being increasingly recognized as an adjunct to physical examination in the field of nephrology. However, paucity of trained faculty and standardized curricula remain key barriers to widespread adoption of this skill as well as development of reliable quality assessment programs at the institutional level. Herein, we sought to explore the utility of Twitter polls to gain insights into knowledge deficits of the learners for making curricular improvements while simultaneously disseminating POCUS pearls and pitfalls. <b><i>Methods:</i></b> A series of 57 single-question polls were tweeted over a 12-month period, each containing an ultrasound image or a video asking for correct interpretation. These were sent out from the Twitter handle of NephroPOCUS.com (@NephroP), an online POCUS education tool. The answer and a brief explanation were shared in a subsequent tweet at the end of the voting period. Information on the percentage of correct answers, Tweet impressions, and engagements was collected and analyzed by the pre-determined difficulty level (I-III) and the organ/learning objective being tested. <b><i>Results:</i></b> The number of responses per poll was 228 ± 94.6 (mean ± SD), and the percentage of correct responses was 57.9 ± 17.5 (mean ± SD). 16 (of 57) polls received less than 50% correct responses, of which 8 belonged to level III difficulty. The learning objectives that received the least number of correct responses in the kidney, cardiac, lung, vascular, and other categories were identification of end-stage kidney (16.2% correct answers), right pleural effusion on the parasternal short axis view of the heart (29%), right pleural effusion from the subxiphoid window (39%), grading of systemic venous congestion (27.3%), and identification of ascites on the right lateral chest window (15%), respectively. The overall engagement rate was 6.96%, which was above the median for health and higher education-related tweets on Twitter. Targeted didactic material was developed based on these results, published on various open-access nephrology education platforms. <b><i>Conclusions:</i></b> Twitter polls aid in identifying the knowledge gaps among POCUS learners. Information obtained from the polls can be used to improve POCUS-related curricula and develop targeted educational material to facilitate remote learning.
DOI: 10.15131/shef.data.14744121.v1
title: Dataset for Few-photon all-optical phase rotation in a quantum-well micropillar cavity

description: Dataset for Few-photon all-optical phase rotation in a quantum-well micropillar cavity
DOI: 10.15468/dl.7my3e9
title: Occurrence Download

description: A dataset containing 823 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Observation, Human Observation, Machine Observation, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Stenoptilia bipunctidactyla (Scopoli, 1763)"
 ]
}

 The dataset includes 823 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009309-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/hkp5ykppnp
title: trial_dataset

description: The data reports a translational study focused on the experimental induction of O138 E. coli infection in weaned piglets as a model to study innovative alternative to antibiotics compounds
DOI: 10.6084/m9.figshare.26073109.v1
title: Data for the Management of Prostate cancer in Africa

description: Prostate cancer is one of the most diagnosed cancers in men and a major cause of cancer-related deaths in men, globally. In Africa, it is a cause of significant morbidity and burden to healthcare. The management of prostate cancer in Africa is unique, most patients present with advanced disease to a largely underdeveloped healthcare delivery. There are novel systemic agents that have led to improvements in prostate cancer outcomes, particularly in patients with advanced disease. Thus, the need for this scoping review of the management of prostate cancer in Africa.
DOI: 10.6084/m9.figshare.14994153.v1
title: Supplementary Material for: Reduced Achilles Tendon Stiffness Disrupts Calf Muscle Neuromechanics in Elderly Gait

description: Older adults walk slower and with a higher metabolic energy expenditure than younger adults. In this review, we explore the hypothesis that age-related declines in Achilles tendon stiffness increase the metabolic cost of walking due to less economical calf muscle contractions and increased proximal joint work. This viewpoint may motivate interventions to restore ankle muscle-tendon stiffness, improve walking mechanics, and reduce metabolic cost in older adults.
DOI: 10.6084/m9.figshare.27330609.v1
title: Dataset: force plate-based outcomes and trunk angular velocity in response to single leg perturbations in a group of healthy subjects

description: Eighteen healthy participants participated in this study. During measurements, participants were standing on one leg while mediolateral position-controlled platform perturbations were used to evoke and measure balance responses. Mean trunk angular velocity assessed with an inertial measurement unit and time-to-stability and mean center of pressure speed measured with a force plate were calculated over a five-second time window after each perturbation.
DOI: 10.6084/m9.figshare.5129686.v1
title: Supplementary Material for: Rare-Variant Kernel Machine Test for Longitudinal Data from Population and Family Samples

description: <b><i>Objective:</i></b> The kernel machine (KM) test reportedly performs well in the set-based association test of rare variants. Many studies have been conducted to measure phenotypes at multiple time points, but the standard KM methodology has only been available for phenotypes at a single time point. In addition, family-based designs have been widely used in genetic association studies; therefore, the data analysis method used must appropriately handle familial relatedness. A rare-variant test does not currently exist for longitudinal data from family samples. Therefore, in this paper, we aim to introduce an association test for rare variants, which includes multiple longitudinal phenotype measurements for either population or family samples. <b><i>Methods:</i></b> This approach uses KM regression based on the linear mixed model framework and is applicable to longitudinal data from either population (L-KM) or family samples (LF-KM). <b><i>Results:</i></b> In our population-based simulation studies, L-KM has good control of Type I error rate and increased power in all the scenarios we considered compared with other competing methods. Conversely, in the family-based simulation studies, we found an inflated Type I error rate when L-KM was applied directly to the family samples, whereas LF-KM retained the desired Type I error rate and had the best power performance overall. Finally, we illustrate the utility of our proposed LF-KM approach by analyzing data from an association study between rare variants and blood pressure from the Genetic Analysis Workshop 18 (GAW18). <b><i>Conclusion:</i></b> We propose a method for rare-variant association testing in population and family samples using phenotypes measured at multiple time points for each subject. The proposed method has the best power performance compared to competing approaches in our simulation study.
DOI: 10.17632/bpzgdjcfxt
title: A program for calculating gamma-gamma directional correlation coefficients and angular distribution coefficients for gamma rays of mixed multipolarities from partially aligned nuclei

description: Title of program: THDST Catalogue Id: ABPG_v2_0 [ABMZ] Nature of problem Conservation of angular momentum governs the multipolarity of electromagnetic transitions between nuclear excited states. In certain cases, a mixture of two multipolarities may occur in a single transition. The amount of mixing ,i.e., the mixing ratio, is determined by the structure of the nuclear levels involved. The most probable mixing ratio can be determined by accurately measuring the directional correlation between two transitions or the angular distribution of a gamma ray with respect to ... Versions of this program held in the CPC repository in Mendeley Data ABPG_v1_0; ANGCOR; 10.1016/0010-4655(76)90041-2 ABPG_v2_0; THDST; 10.1016/0010-4655(78)90085-1 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2018)
DOI: 10.17632/n5m4rpn448
title: Differential impacts of social isolation and enriched environment on multi-sensory brain-wide functionality and network segregation

description: Enriched Group (EG) dataset
Motion-corrected EPI for evoked (Whisker-pad, WP; Forepaw, FP; Visual, VIS; and Olfactory, OLF) stimulation. TR = 1, 200 Timepoints 
Raw EPI for resting-state (5min). TR = 1s, 360 Timepoints
T1 anatomical images.
DOI: 10.6084/m9.figshare.7927289.v1
title: gVCF_HG02136

description: 1000 Genomes gVCF mapped to hs37d5 for HG02136. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.17632/v37sykgc9m
title: CLASSIFYING RESOLUTION CODE IN TELCO CUSTOMER TROUBLE TICKET

description: Dataset
DOI: 10.6084/m9.figshare.19697158.v1
title: Research Data.zip

description: Data and codes for study.
DOI: 10.6084/m9.figshare.21303759.v1
title: lcms423.snp.bed

description: duck snp bed files
DOI: 10.17632/dy3cfkkprx
title: Data for Students’ Perspective on Parental Involvement in Children’s Education: A Case Study of (at-risk) Secondary School Students Under Punakha Dzongkhag

description: Data is from a case study which investigated the perspectives of at-risk Secondary School students on parental involvement in their children’s education. The parents of the participant of this study are either demised, separated or divorced. The study was undertaken to determine which member(s) of the family are actively involved in the education of at-risk students. The findings of this study revealed some barriers and prominent areas of parental involvement in the process of educating the at-risk students. Survey questionnaires, focus group discussions and writing of narrative stories were employed in order to answer the research question(s). This study employed mixed-method approach aimed at achieving an in-depth study of 257 participants. The data obtained were analyzed both quantitatively and qualitatively. The findings from the study revealed that participants experienced feelings of sadness, distress, abandonment, anger, helplessness and stress after their parent’s death, separation or divorce. The results indicated that family dissolution by means of death, separation, and divorce impacted children's behavior, financial stability, and academic performance negatively. These findings have facilitated the researchers in garnering recommendations which would benefit the parents, students and other relevant stakeholders.
DOI: 10.17632/gnvk3xpb5z
title: Data for: A Bayesian analysis of topographic influences on the presence and severity of beech bark disease

description: These data were collected over 5 years from the Lewis Deane Nature Preserve, an 85 acre preserve at the northern end of the Taconic Mountains in Poultney, Vermont, USA. A total of 210 trees were sampled. Recorded variables are as follows: -Time indicates the number of years since the start of the study at the time of sampling. -Tree records the tree ID number. -Rank is the disease rank of the tree using the ranking system described in our paper (1 ≤ rank ≤ 5). -Binary Rank indicates a tree being measured as healthy (0) or infected (1). -Elevation = height above sea level in meters. -Slope = slope in degrees. -Aspect = change in aspect in degrees clockwise from North (e.g. 90 = East). -Curvature = curvature of terrain in z-units. -Weighted Distance (units are 1/[meters squared]) is calculated as the sum of all infected trees weighted by the inverse square distance ([distance]^-2) to the tree of interest. -Distance to Nearest is the distance in meters to the nearest infected tree. -DBH = tree diameter at breast height and is in centimeters. -Latitude and Longitude are UTM coordinates.
DOI: 10.6084/m9.figshare.7937873.v1
title: gVCF_NA12045

description: 1000 Genomes gVCF mapped to hs37d5 for NA12045. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.17632/c25pn5v38w
title: Nitrogen source uptake and associated pH changes influence growth and biomass composition in microalgae isolated from a polluted river

description: The data collection are the raw data analyzed, and used to develop the following study: "Nitrogen source uptake and associated pH changes influence growth and biomass composition in microalgae isolated from a polluted river". All the material and methods are depicted in the corresponding manuscript.
Microalgae exhibit diverse responses to various nitrogen forms in natural environments, affecting growth rates, biomass yields, composition, by-product production, and nutrient utilization efficiency, which vary among species and strains. In the present study, the growth of two microalgae species was investigated with different nitrogen sources to study their effect on these parameters. In particular, the evolution of several parameters associated with microalgal cultures was examined in relation to the nitrogen source and the pH of the culture medium. Furthermore, simple alternative techniques for estimating biomass growth in microalgal cultures based on nitrogen consumption and/or acid/base titrations are proposed. CI (Parachlorella kessleri) and DIII (Desmodesmus communis) were isolated from the Reconquista River, a polluted watercourse in Buenos Aires, Argentina. CI showed higher productivity, faster biomass growth, and increased extracellular polymeric substances (EPS) production, which promoted cell agglomeration, when cultured in culture medium with NO3- as the nitrogen source, compared to cultures with NH4+ as the nitrogen source. On the other hand, DIII grew only when cultured in medium with NO3-, reaching a maximum growth rate comparable to that of CI in culture medium with NO3-. Growth inhibition in cultures containing NH4+ was attributed to pH decrease associated with NH4+ uptake rather than NH4+ effects. Both species exhibited an increase in the C/N ratio. Under N starvation DIII accumulates N-free substances like lipids and starch in both culture conditions, at controlled pH (≈7). In contrast, the results for CI showed a more pronounced increase in the C/N ratio when cultured in medium containing NO3-, which was attributed to the formation of EPS. These variations in the composition of the microalgae biomass and the occurrence of cellular agglomeration throughout a culture suggest that different biomass estimation techniques may not be directly comparable across different phases of a culture. In this sense, in the present work it was demonstrated that for certain conditions, it is possible to accurately estimate growth from the consumption of nitrogen, and from the variation in the concentration of OH- and/or H+ of the culture medium.
DOI: 10.17632/rtsrk8792k
title: Fishpond Visual Condition Dataset v2.0

description: This dataset is a part of a fundamental research to produce an IoT monitoring device for fishpond. The hypothesis of this research is that the health of a fishpond can be inferred from the visual data. To build the dataset, several conditions data is gathered. The temperature, pH level, and total dissolved solid (TDS) were collected in several location at different time. At each time and location, an aerial photo of the pond was also collected using drone at several height. The images is presented in two condition: the raw original images of the ponds, and the cropped image on each data point. The conditions data is collected by using appropriate digital sensor for each parameter. The dataset consists of 975 data rows. Each row represent the condition and visual image (in 100 x 100 pixels images) of a fishpond at certain time and location. To use the dataset, please access the pond_dataset.csv file. The file contains the tabular data of 13 ponds (each pond represent different location and different collection time). For each row, the visual image file name is presented. To access the image file, please search in the images folder and find the corresponding image file according to the name listed in the csv file. The dataset can be used to study the correlation of each parameter. For example, the research originally study the correlation about the visual data with the conditions data. To do this, the image need to be preprocessed. The image data can be converted into a histogram data, or any other visual preprocessing method and result.
DOI: 10.17632/p7frn3xk4j
title: Traditional medicine perception and use among conventional medicine practitioners and their collaboration with traditional healers in Lubumbashi (Democratic Republic of Congo)

description: The lack of information about collaboration or interactions between conventional and traditional medicine caregivers is among the major barriers in planning actions and strategies to achieve integrative medicine in the Democratic Republic of Congo. The present investigation aimed to study the perception and use of TM by conventional medicine caregivers, their collaboration with traditional healers (THs), and their opinions on a possible integration of tTHs into the conventional hospitals or health centers.
Semi-structured interview surveys were carried out over two years, in Lubumbashi among 970 and 116 conventional and traditional medicine caregivers respectiveky.
The attached files present the data recorded during interviews with conventional and traditional medicine caregivers. All personal identifying information has been removed.
DOI: 10.6084/m9.figshare.19779736.v1
title: Nuclear chromosome locations dictate segregation error frequencies

description: Tabular data of figures of Klaasen <em>et al., Nature </em>(2022). https://doi.org/10.1038/s41586-022-04938-0
DOI: 10.6084/m9.figshare.21362700.v1
title: ×Cylindronia, a new nothogenus representing the first reported hybrid between Grusonia and Cylindropuntia (CACTACEAE)

description: We provide two datasets, one of the plastome sequences for the Cylindropuntieae clade and one for an ETS-ITS dataset used to determine parentage of Grusonia robertsii.
DOI: 10.17632/tmhxrc4rpn
title: Codes for Phenotype Surfing

description: Here, all the codes that were used in the study titled "Efflux-linked Accelerated Evolution of Antibiotic Resistance at a Population Edge" are deposited with annotations. The codes were written in three different platforms - PERL, Shell, and Python.
DOI: 10.6084/m9.figshare.15143892.v1
title: Data of "Effects of microplastics on onion nutrition in fertile soils and interaction with arbuscular mycorrhizal fungi"

description: Primary data of the paper "Effects of microplastics on crop nutrition in fertile soils and interaction with arbuscular mycorrhizal fungi"
DOI: 10.17632/4vrs3rvy93
title: Data for: Neuromuscular Junction Transmission Failure is a Late Phenotype in Aging Mice

description: dataset