cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/2wf998hxfv
title: Comparison of ten sequential online motor assessment of patients with Parkinson disease by multiple raters in different locations

description: Detection of movements in the extremities of people with Parkinson disease was developed to enhance clinical assessments. This data represents the administration of online motor assessments to detect the movements in the extremities of people with Parkinson's disease by examiners certified in the Movement Disorders Society-sponsored revision of the Unified Parkinson’s Disease Rating Scale (MDS-UPDRS) (Goetz, et al., 2008). 


Ten trained raters who were certified in the administration of the Movement Disorders Society-sponsored revision of the Unified Parkinson’s Disease Rating Scale (MDS-UPDRS) (Goetz, et al., 2008) conducted 10 online motor assessments for one patient with Parkinson disease. Each rater utilized a separate computer at different location in three continents. At the beginning of each session the patient was asked for his permission to record the session. Second, the investigator asked the patient about the current medications and weight. Third, the investigator announced each motor assessment by saying the number and the name of each task before conducting the task for all of the raters. Fourth, the investigator gave the patient the specific instructions for each task, demonstrated each task, and asked the participant to begin the task. The investigator didn't continue to demonstrate the task after the participant began the task. For the repetitive items the investigator asked the participant to perform the activities as fully and as fast as possible. After performing each task the raters were given one minute to write their scores. This process was repeated for all of the tasks. At the conclusion of the session the participant was excused after setting the next session date, and then all of the raters shared their scores with the investigator by email. Finally the investigator conducted a consensus conference to attain agreement on each score for each task. 



One expert certified in the MDS-UPDRS (Goetz, et al., 2008) edited the original videotapes to extract only the administration of each task.The videotape segments correspond to the tasks of the protocol (3.17RTU: 3.17 Rest tremor amplitude upper limbs, 3.17RTUC: 3.17 Rest tremor amplitude upper limbs counting, 3.15PT: 3.15 Postural tremor of the hands, 3.4FT: 3.4 Finger tapping, 3.5HM: 3.5 Hand movements, 3.6PS: 3.6 Pronation-supination movements of the hands, 3.9ACU: 3.9 Arising from chair upper limbs).
DOI: 10.3535/7m1-kfb-qm8
title: †Leptaena Dalman, 1828

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/8lr-4k2-chv
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.c.3720535_d3.v1
title: Additional file 3 of Using simulated fluorescence cell micrographs for the evaluation of cell image segmentation algorithms

description: The zip archive contains real images showing macrophages. (ZIP 28979 kb)
DOI: 10.3535/0cj-0sg-fnf
title: †Leptaena Dalman, 1828

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/lrq-wzx-01s
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/8zx-34z-x86
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/r9d-skb-znl
title: †Leptaena Dalman, 1828

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.17632/sg78wtjd6m
title: Algorithms for the symbolic integration of hyperlogarithms with applications to Feynman integrals

description: This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2018) Abstract We provide algorithms for symbolic integration of hyperlogarithms multiplied by rational functions, which also include multiple polylogarithms when their arguments are rational functions. These algorithms are implemented in Maple and we discuss in particular their application to the computation of Feynman integrals. Title of program: HyperInt Catalogue Id: AEUV_v1_0 Nature of problem Feynman integrals and their ε-expansions in dimensional regularization can be expressed in the Schwinger parametrization as multi-dimensional integrals of rational functions and logarithms. Symbolic integration of such functions therefore serves a tool for the exact and direct evaluation of Feynman graphs. Versions of this program held in the CPC repository in Mendeley Data AEUV_v1_0; HyperInt; 10.1016/j.cpc.2014.10.019
DOI: 10.3535/85q-39v-fc8
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/qmr-yyy-pp1
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.17632/z36hbjhkdy
title: Measuring Financial Inclusion: A State-Wise Impact Analysis of India’s National Mission on Financial Inclusion

description: This dataset contains data for 'Measuring Financial Inclusion: A State-Wise Impact Analysis of India’s National Mission on Financial Inclusion'.
This dataset contains 3 files where the individual dimensional scores are calculated, and a FIS Calculation file which combines the three dimensions into one comprehensive value.


Purpose: This study aims to calculate the level of financial inclusion across India’s states/ UTs and Union Territories from 2011 to 2019, to quantify the impact of India’s National Mission on Financial Inclusion (Pradhan Mantri Jan Dhan Yojana) which was launched in 2014. 
Approach: We utilise the Index of Financial Inclusion, which has 3 dimensions- Banking Penetration, Banking Services Availability and Banking Services Usage, comprised of sub-dimensions to capture various individual indicators of financial inclusion. This allows us to factor in the various aspects of financial inclusion into one score, which can then be used for empirical studies.
Findings: We find that the National Mission on Financial Inclusion (PMJDY) has been able to accelerate the growth of financial inclusion in India, and as of 2019, 24 of India’s 31 states/UTs, considered in this paper, have been able to achieve High Financial Inclusion, with the remaining 7 achieving Medium Financial Inclusion. This represents a significant improvement over the state of financial inclusion in 2011.
Originality: We have enhanced the Index of Financial Inclusion used in previous studies to include additional indicators of financial inclusion based on existing literature. The application of the measurement framework to quantify the impact of India’s National Mission of Financial Inclusion is original. The financial inclusion scores have been calculated over an extended period from 2011 to 2019.
DOI: 10.3535/0fh-58t-58g
title: limestone

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/dsz-5g7-39h
title: †Proetidae

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.17028/rd.lboro.23939772.v1
title: BAL Fluid Metabolomics - Metaboanalyst Data Frame

description: Raw metabolomics data frame used for Metaboanalyst data analyses on BAL fluid collected from obese and non-obese patients.
DOI: 10.3535/914-fz2-43p
title: Amber

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/ddm-5tp-z9v
title: Amber

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.7996352.v2
title: Digital design of eating disorder treatments: A systematic review and meta-analysis

description: The current review and meta-analysis aimed to determine which components of web-based interventions are associated with higher attrition and improved therapeutic outcome in eating disorder treatment. A systematic of electronic databases were searched for published studies of web-based interventions for eating disorders and a meta-analysis of the final included studies was conducted. Each intervention was coded across four dimensions including multimedia channels, automated feedback, and technological device. A final 23 studies were included in the review. The results of meta-regressions indicated that higher scores on the multimedia subscale were associated with greater eating disorder symptom improvement in treatment groups. Conversely, higher scores on the feedback subscale were associated with greater reductions in eating disorder psychopathology in the control group. Other intervention components were not associated with treatment outcome or dropout. <br>
DOI: 10.3535/exw-0hk-cdq
title: limestone

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/e08-6sp-dn8
title: Amber

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/fja-rss-mpa
title: limestone

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/3km-9m4-rgt
title: Amber

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/qmz-egg-xab
title: Schist

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/7rc-rs8-dzh
title: Amber

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/c6c-qh1-fdc
title: limestone

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/x61-75s-yrc
title: Amber

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.17632/362y2t8fzd
title: Integrating human and wildlife dynamics in co-occurrence modelling

description: 1. In shared environments, where different species interact depending on overlapping resources, complex interspecific interactions emerge, with human activities impacting these dynamics and influencing wildlife abundance and distribution. In the Alps, the presence of multiple species of ungulates, such as roe deer and red deer, and a predator, the wolf, creates a web of spatial and behavioural interactions in an area where farming, hunting and tourism have persisted over time, with tourism recently experiencing a substantial growth. 
2. Accounting for these multiple interactions, we modelled the co-occurrence probabilities of roe deer, red deer and wolves in an area of the Maritime Alps using data derived from 60 camera traps. We applied multi-species occupancy models to investigate (i) the role of species co-occurrences in explaining the occupancy of model species across the landscape, (ii) the role of human presence and activities on species occupancy and (iii) the potential effect of the hunting season on the species detection probabilities. 
3. Among the identified species, roe deer reported the highest frequency of recorded events and was the most widespread species. We provided important evidence of interspecific dependence, revealing that pairwise interactions among species had greater impact than only considering individual environmental effects. We documented that the setting of cameras on trails increased the likelihood of detecting wolves but decreased the likelihood of detecting ungulates. Most importantly, the hunting season significantly reduced the likelihood of capturing roe deer, while having no effect on either red deer or wolves. 
4. Our results confirmed the relevance of including prey, predators and human dynamics as a whole. Since the sharing of habitat makes human activities significantly important in defining predator-prey mechanisms, our insights are particularly relevant for defining solutions to optimize human-wildlife coexistence, especially in a highly anthropogenic system such as Europe.
DOI: 10.3535/j2x-x16-a9b
title: Amber

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/wye-8tt-4v0
title: Amber

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/a9k-em4-8gv
title: Amber

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/lbf-mc5-m9r
title: Amber

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.c.3822835_d1.v1
title: Dataset of Experimental Formation Enthalpies for Intermetallic Phases and Other Inorganic Compounds Measured by Calorimetry

description: Each entry in the dataset is a JSON object and corresponds to a compound. The JSON format is based on a series of key-value pairs. The JSON keys and their corresponding value data types are:
{"id":String}, {"composition":{String:Float},...},{"formula":String}, {"space_group:String}, {"pearson_symbol":String}, {"standard_enthalpy_formation":[[String, Float],[String, Float]]}, {"enthalpy_formation":[[String, Float],[String, Float]]}, {"ref_temp":Int}, {"uncertainty:{“standard_deviation”:[[String, Float],[String, Float]]}, {“standard_error”:[[String, Float],[String, Float]], “experimental_error”:[[String, Float],[String, Float]]}, {"notes":String}, {"citation":String}, {"calorimetry_method":String}, {"cas_reg_no:String}, {"mp_id":String}, {"mp_formation_energy":[[String, Float],[String, Float]]}, {"mp_e_above_hull":[[String, Float],[String, Float]]}, {"oqmd_id":String}, {"oqmd_formation_energy":[[String, Float],[String, Float]]}, {"oqmd_e_above_hull":[[String, Float],[String, Float]]}
DOI: 10.17632/n2kx8t2h75
title: Data for: High oxidation magmatic evolution in the Naruo porphyry Cu deposit, Tibet, China

description: Table S1 Zircons U-Pb date of the diorite and three porphyry phases in the Naruo porphyry Cu deposit, Tibet Table S2 Bulk-rock major and trace element, Sr-Nd isotopic results of the diorite and three porphyry phases in the Naruo porphyry Cu deposit, Tibet Formulae were calculated as follows: (87Sr/86Sr)i = (87Sr/86Sr)sample – 87Rb/86Sr × (e1t – 1), 1 = 1.42 × 10−11 a−1, 87Rb/86Sr = Rb/Sr × 2.981; (143Nd/144Nd)i = (143Nd/144Nd)sample – 147Sm/144Nd × (et – 1), 147Sm/144Nd = Sm/Nd × [0.531497 + 0.142521 × (143Nd/144Nd)sample]; Nd(t) = [(143Nd/144Nd)sample/(143Nd/144Nd)CHUR(t) – 1] × 104, (143Nd/144Nd)CHUR(t) = 0.512638 – 0.1967 × (e2t – 1); TDM = 1/2 × ln{1 + [((143Nd/144Nd)sample – 0.51315)/((147Sm/144Nd)sample – 0.21317)]}, 2 = 6.54 × 10−12 a−1, where TDM2 is the two-stage Nd depleted-mantle model age calculated using the approach of Keto and Jacobsen (1987), t = 120 Ma. Table S3 Zircons Hf isotopic data of the diorite and three porphyry phases in the Naruo porphyry Cu deposit, Tibet Hf(t) = 10000  {[(176Hf/177Hf)S – (176Lu/177Hf)S  (et – 1)]/[(176Hf/177Hf)CHUR,0 – (176Lu/177Hf)CHUR  (et – 1)] – 1}. TDM = 1/  ln{1 + [(176Hf/177Hf)S – (176Hf/177Hf)DM]/[(176Lu/177Hf)S – (176Lu/177Hf)DM]}. TDMC = TDM – (TDM – t)  [(fcc – fs)/(fcc – fDM)]. fLu/Hf = (176Lu/177Hf)S/(176Lu/177Hf)CHUR – 1.where,  = 1.867  10-11/a(Söderlund et al., 2004). The (176Lu/177Hf)S and (176Hf/177Hf)S are the measured values of samples; (176Lu/177Hf)CHUR = 0.0332, (176Hf/177Hf)CHUR,0 = 0.282772 (Blichert-Toft et al., 1997); (176Lu/177Hf)DM = 0.0384, (176Hf/177Hf)DM = 0.28325 (Griffin et al., 2000); (176Lu/177Hf)mean crust = 0.015;fcc = [(176Lu/177Hf)meancrust/(176Lu/177Hf)CHUR] – 1; fs = fLu/Hf; fDM = [(176Lu/177Hf)DM/(176Lu/177Hf)CHUR] – 1; t=120Ma. Table S4 Re-Os isotopic data of molybdenite from the Naruo porphyry copper-gold deposit
DOI: 10.3535/49g-1g8-arl
title: limestone

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/erc-wk7-lt2
title: limestone

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.13467807.v1
title: Additional file 4 of Repeatability and reproducibility of the wzi high resolution melting-based clustering analysis for Klebsiella pneumoniae typing

description: Additional file 4: Table S4. Melting temperature differences among instruments and operators. The median of the average melting temperatures differences for each strain among instruments and operators are reported. In brackets, minimum and maximum difference values are reported. The comparisons between the two operators on the same instrument are reported in bold.
DOI: 10.3535/njt-a3k-w50
title: Amber

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/ywd-wbq-a7l
title: Amber

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.28659293.v1
title: Anonymized Demographics and QFT and Culture Results

description: Anonymized Demographics and QFT and Culture Results
DOI: 10.17632/r9pbp4zvwm
title: PhysEx: A novel procedure to estimate full-rank physical matrices of a structure from an incomplete modal model

description: This dataset is associated to the article entitled "PhysEx: A novel procedure to estimate full-rank physical matrices of a structure from an incomplete modal model". It contains all the algorithms and models needed to reproduce all the results presented in that research paper. More details can be found in the article with DOI 10.1016/j.jsv.2021.116277.
DOI: 10.3535/vrn-b3p-gkm
title: Amber

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/b9n-vyr-7se
title: Amber

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/z4q-dmy-qar
title: †Leptaena Dalman, 1828

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/sl9-2e3-6yn
title: Amber

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/t41-cn4-w7c
title: limestone

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.17632/mfr9j79yt7
title: Role of UVA-driven cellular senescence via mTOR activation in dihydrotestosterone-induced hair loss in androgenetic alopecia mouse model

description: Data Availability Description
This dataset contains the following uploaded materials:
Uncropped Western blot (WB) gels - Full-length original images without post-acquisition cropping
Additional files - Supplementary methodological details
High-resolution TEM images - Unprocessed micrographs in TIFF format (300 dpi)
Note on Transcriptomic Data:
The RNA-seq datasets require further in-depth analysis to extract biologically meaningful patterns.
DOI: 10.3535/7fl-wbd-wn7
title: Amber

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/phx-h0g-28q
title: Amber

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/ybh-8mb-4q8
title: limestone

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.1559973.v1
title: Example of use of BiDO #2

description: Assigning a research career category to a person.
DOI: 10.3535/vch-ltd-7yc
title: Amber

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.17632/9pggt4777t
title: Data for the bremsstrahlung spectra on Al, Cu, Ag, Te, and Au thick targets by keV electron impact

description: The dataset includes 25 text files for our measured bremsstrahlung spectra on Al, Cu, Ag, Te, and Au thick targets at 5, 10, 15, 20, and 25 keV electron impact, which were published in L. Li, et al., Physical Review A, 99 (2019) 052701. These text files are named by element symbol plus incident electron energy, e.g., Al25-exp.TXT means a measured bremsstrahlung spectrum for Al thick target and 25 keV incident electron energy. At the same time, corresponding bremsstrahlung spectra calculated by the Monte Carlo code PENELOPE (v.2008) (e.g., Al25-mc.TXT) are also included in the dataset. Each text file has two columns which correspond to bremsstrahlung X-ray energy (unit: keV) and bremsstrahlung X-ray absolute intensity (unit: 1/eV/sr/electron), respectively. For the details about the experiments and the Monte Carlo simulations by the PENELOPE code, please see the published paper (i.e., L. Li, et al., Physical Review A, 99 (2019) 052701).
DOI: 10.17632/vy5vyfbv8d
title: Revised Mudi River Dataset-contamination level and ecological risk assessment of selected heavy metals

description: Chemical analysis of water and sediments provides important information about the contamination level of the river systems. Heavy metal contamination of river water and sediments remains a global issue that is affecting the ecological health of the riverine ecosystem. A total of twelve (12) sediments and twelve (12) water samples making twenty-four (24) samples were collected from Mudi River, Blantyre, Malawi at twelve (12) different sites within the river in dry season in 2021 and wet season in 2022. Sediment samples from the targeted sites were collected at 0 to 10 cm deep using a polypropylene spatula. Similarly, 500 mL of water from the river was collected at the selected sites using clearly labelled plastic bottles, and 2 mL of nitric acid was added to preserve the samples for analysis. Both water and digested sediment samples and reagent blank were analysed for total Cd, Cr, Pb, Zn, Fe, and Cu content using Atomic Absorption Spectrometry (AAS). The pH, temperature, and EC were measured using a combined pH/temperature/turbidity/electro-conductivity meter on site. The data will be valuable as it provides updated information and baseline data on the contamination level of Mudi River water and sediments.
DOI: 10.3535/2be-5ke-gzj
title: limestone

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/7yy-v4j-7xz
title: Amber

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.17632/y5nbwtzf8v
title: The Incidence of Vote Buying in Nigeria's 2019 Presidential Elections and the impact on democracy

description: This work examines the incidence of Vote buying during the 2019 Presidential Elections in Nigeria and the Impact on Democracy. It adopts the clientelist theory and employed the survey method of research design in which the data required for the study were generated through the instruments of questionnaire and in-depth interviews. Quota and stratified sampling techniques were used in the selection of respondents. Eight Hundred copies of questionnaire were administered across the six geo-political zones of the country covering twenty four of the thirty six states and Federal Capital Territory, Abuja and six hundred and ninety nine (699) were returned out of which six hundred (600) were found useable. The data were analyzed using ordinary linear regression analysis, inferential statistics, tables, frequencies, and percentages to crystallize and present the results. The results of the study showed that vote buying thrives in emerging democracies like Nigeria where accountability of the ruling class to the masses is non-existent and the ruling class cannot be trusted by the masses to live up to the promises made to them prior to elections hence they demand upfront for their own part of the dividends of democracy by selling their votes to the highest bidders.
DOI: 10.3535/b20-q0k-f2p
title: Amber

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/h1t-5we-l8q
title: Amber

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.