cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7143143
title: MaMI dataset

description: The mammalian MRI (MaMI) data set is a comprehensive database that encompasses high-resolution <em>ex vivo</em> diffusion and structural (T1- and T2-weighted) MRI scans of 124 mammalian species, and a total of 225 scans including replicas. This data set was originally used by Yaniv Assaf (Assaf, Y. et al., 2020, Nat. Neurosci.; doi: https://doi.org/10.1038/s41593-020-0641-7). The version of the data set included in this repository only includes the network matrices obtained from the MRI scans. Details on the preprocessing of the data and the reconstruction of the matrices can be found in Suarez, LE. et al., 2022, bioRxiv; doi: https://doi.org/10.1101/2022.03.11.483995.
DOI: 10.5281/zenodo.7317360
title: Mechanisms Governing Target Search and Binding Dynamics of Hypoxia-Inducible Factors

description: Raw fast SPT data for Hypoxia-Inducible Factors: <strong>HIF2a_HIF1b_KIN_Clones.zip </strong>corresponds to Figure 2A-C and Figure 2-Figure supplement 2A-B, contains fast SPT data for Halo-HIF-2α KIN clone A31 and clone B50, Halo-HIF-1β KIN clone A21 and clone B89. <strong>HIF1b_with_HIF2a_overexpression.zip </strong>corresponds to Figure 2D-E and Figure 2-Figure supplement 2C, contains fast SPT data for: Halo-HIF-1β KIN clone A21, Halo-HIF-1β KIN clone A21 with HIF-2α stably over-expressed, and Halo-HIF-1β KIN clone A21 with a dimerization mutant form of HIF-2α (R171A/V192D) stably over-expressed. <strong>Belzutifan_dosage.zip </strong>corresponds to Figure 3-Figure supplement 1, contains fast SPT data for: Halo-HIF-2α KIN clone A31, treated with 0.0002 uM, 0.002 uM, 0.005 uM, 0.01 uM, 0.02 uM, and 0.2 uM of Belzutifan. <strong>HIF1b_with_HIFa_chimera_overexpression_and_Belzutifan.zip </strong>corresponds to Figure 3 and Figure 3-Figure supplement 2, contains fast SPT data for: Parental Halo-HIF-1β KIN clone A21 cells and cells stably over-expressing either a certain form of HIF-α (WT or domain swap), treated with either Belzutifan or DMSO. <strong>HIFa_domain_swap.zip </strong>corresponds to Figure 4 and Figure 4-Figure supplement 2, contains fast SPT data for: Halo-HIF-2α KIN clone A31, WT 786-O cells stably express V5-Halo-HIF-2α with an L30 promoter, WT 786-O cells stably express V5-Halo-HIF-2α/1α with an L30 promoter, WT 786-O cells stably express V5-Halo-HIF-1α with an L30 promoter, and WT 786-O cells stably express V5-Halo-HIF-1α/2α with an L30 promoter. <strong>DBD_mutant.zip </strong>corresponds to Figure 5A-C, contains fast SPT data for: WT 786-O cells stably express V5-Halo-HIF-2α with an L30 promoter, WT 786-O cells stably express a DBD mutant form of V5-Halo-HIF-2α (R27E) with an L30 promoter, WT 786-O cells stably express V5-Halo-HIF-1α with an L30 promoter, and WT 786-O cells stably express a DBD mutant form of V5-Halo-HIF-1α (R30E) with an L30 promoter. <strong>Dimerization_mutant.zip </strong>corresponds to Figure 5D-F, contains fast SPT data for: WT 786-O cells stably express V5-Halo-HIF-2α with an L30 promoter, WT 786-O cells stably express a dimerization mutant form of V5-Halo-HIF-2α (R171A/V192D) with an L30 promoter, WT 786-O cells stably express V5-Halo-HIF-1α with an L30 promoter, and WT 786-O cells stably express a dimerization mutant form of V5-Halo-HIF-1α (R170A/V191D) with an L30 promoter.<br>
DOI: 10.6084/m9.figshare.21601227
title: Supplementary Material for: Systematic Review and Meta-Analysis of the Diagnostic Accuracy of the International Academy of Cytology Yokohama System for Reporting Breast Fine-Needle Aspiration Biopsy in Diagnosing Breast Cancer

description: <b><i>Objectives:</i></b> The primary objective is to determine the accuracy of fine-needle aspiration biopsy (FNAB) in breast lesions reported according to the International Academy of Cytology (IAC) Yokohama system for reporting breast FNAB. The participants include any patient presenting with any breast lesion found suitable for FNAB. The target condition was breast cancer. The secondary objective was to study the proportion of inadequate FNAB in the selected studies. <b><i>Methods:</i></b> PubMed/MEDLINE and Embase were searched for studies having all the following key search terms: Breast AND FNAB AND Diagnostic Accuracy published in the time frame of 2017 to May 16, 2022. The Cochrane and PROSPERO databases, citations of selected articles and articles citing the selected articles were also searched. Studies assessing the diagnostic accuracy of breast FNAB in diagnosing breast cancer, which had at least 75 subjects (and at least 20 subjects each in the benign and malignant FNAB groups), were selected. The reference standard was histopathology (or adequate clinical follow-up for benign disease). Studies were screened independently by two researchers, with a consensus reached among the authors in cases of conflict. The risk of bias and applicability were assessed using the QUADAS-2 tool. Sensitivity and specificity at each diagnostic cut-off were assessed by bivariate generalized linear mixed-model meta-analysis. The area under the receiver operating characteristics curve (AUC) and inadequacy rate were assessed by random-effects meta-analysis. The confidence intervals of sensitivity, specificity, and AUC were examined against a value of 0.95. <b><i>Results:</i></b> Twenty-two studies, all of which were cross-sectional single-gate studies, were selected with a total of 10,886 subjects with a primary breast lesion having concurrent FNAB and reference standard reports. Sensitivity and specificity, with 95% confidence intervals, were 0.978 [0.968, 0.985] and 0.832 [0.76, 0.886] for the diagnostic cut-off of “Atypical considered positive for malignancy,” 0.916 [0.892, 0.935] and 0.983 [0.97, 0.99] for the cut-off of “Suspicious of Malignancy considered positive,” and 0.763 [0.706, 0.812] and 0.999 [0.994, 1] for the cut-off of “Malignant considered positive.” The overall AUC was 0.975 [0.962, 0.984]. FNAB sampling without imaging guidance was associated with lower inadequacy. <b><i>Discussion:</i></b> There is strong evidence that the overall accuracy, sensitivity for “Atypical category considered positive” and specificity when “Suspicious or Malignant categories are considered positive” of FNAB are high when using the categories of the IAC Yokohama Reporting System, demonstrating the usefulness of FNAB in diagnosing breast cancer.
DOI: 10.6084/m9.figshare.21601302
title: Supplementary Material for: Diagnostic Performance of the Newly Developed WellPrep® Liquid-Based Cytology System and Its Comparison with SurePath<sup>TM</sup> in Cervical Squamous Lesions

description: <b><i>Introduction:</i></b> WellPrep® (WP), a fully automated, one-step liquid-based cytology (LBC) platform using an all-in-one closed chamber, has recently been developed as a next-generation LBC technology. This study aimed to evaluate the diagnostic performance and cytomorphologic features of WP regarding cervical cytology and also to compare WP with the SurePath<sup>TM</sup> (SP), one of the most widely used LBC systems used worldwide. <b><i>Methods:</i></b> Cervicovaginal samples were taken from 212 females who enrolled in the study, and each sample was split and subsequently used for WP and SP LBC. Following the exclusion of seven cases with insufficient quality, a total of 205 cases were used for subsequent analysis. Among them, 75 (36.6%) received histologic follow-up. All cases were interpreted according to the Bethesda System, while three experienced pathologists evaluated their cytomorphologic features. <b><i>Results:</i></b> The diagnostic concordance rate between the two LBC technologies was 84.4% (kappa = 0.776). Furthermore, the diagnostic concordance rates between SP and histology and between WP and histology were 73.3% (kappa = 0.516) and 70.7% (kappa = 0.497), respectively. The two LBC methods showed comparable sensitivity, specificity, and area under the curve (AUC) for histologic HSIL+ (SP: sensitivity 82.8%, specificity 84.8%, and AUC 0.838; WP: sensitivity 79.3%, specificity 87.0%, and AUC 0.831). No significant difference was found regarding the sensitivity, specificity, and AUC between SP and WP (<i>p</i> = 0.586, <i>p</i> = 0.670, and <i>p</i> = 0.924, respectively). In terms of cytomorphologic features, WP revealed more often than SP the presence of coarse chromatin (<i>p</i> = 0.031) and mitoses (<i>p</i> = 0.008) but less commonly perinuclear clearing (<i>p</i> = 0.001). <b><i>Conclusion:</i></b> This is the first study demonstrating that WP has a comparable performance to SP. In conclusion, WP may be an alternative LBC technology for cervical cancer screening.
DOI: 10.6084/m9.figshare.21601743
title: Supplementary Material for: Vestibular Schwannoma Presenting as Acute Vertigo Mimicking Vestibular Neuritis

description: Vestibular schwannoma (VS) is commonly accompanied by hearing loss, tinnitus, and dizziness and tends to be chronically progressive in nature. We report a case of VS presenting as left vestibular neuritis (VN) in a previously healthy 57-year-old patient. Right-beating horizontal-torsional spontaneous nystagmus was observed, and the bedside head impulse test revealed a left catch-up saccade. The bithermal caloric test showed left canal paresis, and pure-tone audiometry revealed an average threshold of 22.5 dB bilaterally. Brain magnetic resonance imaging (MRI) demonstrated a 0.7-cm enhancing mass in the left internal auditory canal, consistent with VS. The patient was administered with high-dose systemic corticosteroids and vestibular suppressants with antiemetic, which relieved acute vertigo. Although dizziness in VS is chronically progressive in nature, VS may present as an acute vestibular syndrome that mimics VN. VS should be considered a potential cause of acute vestibular syndrome, and thorough neurological examination with MRI may be helpful for accurate diagnosis.
DOI: 10.6084/m9.figshare.21603633
title: Supplementary Material for: Aortic Regurgitation Requiring Unplanned Surgery following Transcatheter Closure of Ventricular Septal Defect in Children: Incidence and Risk Factors

description: Introduction: Our aim is to investigate the incidence and risk factors for aortic regurgitation (AR) requiring unplanned surgery after transcatheter closure of ventricular septal defect (VSD) in children. Methods: Medical records of 876 children with VSD who underwent transcatheter closure from July 2009 to September 2018 in our hospital were retrospectively reviewed. Groups with and without new-onset or increasing AR requiring unplanned surgery were compared. Univariate and multivariate analysis were used to identify the possible risk factors. Smoothing plot and threshold effect analysis were carried to find the relationship between possible factors and risk of new-onset or increasing AR. Results: A total of 29 children (3.3%) underwent unplanned surgery after transcatheter closure owing to new-onset or increasing AR, including 6 children with new-onset AR and 23 children with increasing AR. Multivariate regression analysis revealed that preoperative mild AR (OR: 60.39, 95%CI 11.53-316.30 ，P＜0.001), larger ratio between diameter to body surface area (OR: 1.25, 95%CI 1.01-1.55，P=0.039), intracristal VSD (OR: 34.09, 95%CI 4.07-285.65，P＜0.001, and shorter distance from the upper edge of defect to the aortic valve (or the sub-aortic rim) (OR: 0.12, 95%CI 0.05-0.27，P＜0.001) were risk factors for new-onset or increasing AR requiring unplanned surgery. And, low risk of AR after muscular ventricular septal defect transcatheter closure was found. An L-shaped non-linear relationship between the sub-aortic rim and risk of new-onset or increasing AR was observed, and the risk of new-onset or increasing AR increased with the sub-aortic rim up to the turning point (2 mm) (adjusted OR:0.00, 95 % CI 0.00-0.08; P=0.001). With a median time of 7.3 years’ follow-up, no new-onset or increasing AR has been found for children who initially didn’t have unplanned surgery. Conclusion: Preoperative mild AR, larger ratio between diameter to body surface area, intracristal VSD and shorter distance of the sub-aortic rim (especially less than 2 mm) could increase the risk of new-onset or increasing AR requiring unplanned surgery after transcatheter closure of VSD.
DOI: 10.17632/pjd63pr446.1
title: Deep tectonics in the Eastern Hellenides uncovered (part 1): The record of Variscan continental amalgamation, Permo-Triassic rifting, and Early Alpine collision in Pre-Variscan continental crust in the W-Rhodope (Vertiscos-Ograzden Complex, N-Greece)

description: The supplement contains additional microphotographs of the samples that are presented in the main text (S2, S3) as well as petrographic descriptions and microphotographs of additional samples that are not treated in detail in the man text, but supporting the observations outlined in the text (S1, additional samples). The mineral chemistry of the key samples (S4) and the sample coordinates (S5) are also given.
DOI: 10.3886/icpsr20660.v2
title: County Characteristics, 2000-2007 [United States]
title: Version 2

description: This file contains an array of county characteristics by which researchers can investigate contextual influences at the county level. Included are population size and the components of population change during 2000-2005 and a wide range of characteristics on or about 2005: (1) population by age, sex, race, and Hispanic origin, (2) labor force size and unemployment, (3) personal income, (4) earnings and employment by industry, (5) land surface form topography, (6) climate, (7) government revenue and expenditures, (8) crimes reported to police, (9) presidential election results (10) housing authorized by building permits, (11) Medicare enrollment, and (12) health profession shortage areas.
description: Datasets: DS1: County Characteristics, 2000-2007 [United States]
description: All counties in the United States. Smallest Geographic Unit: county
DOI: 10.5281/zenodo.274963
title: PsPM-SCRV3: Skin conductance responses to loud sounds and aversive/neutral pictures.

description: This dataset includes skin conductance response (SCR) measurements, keypress responses and keypress response times to acoustic and visual stimuli for each of 22 healthy unmedicated participants (11 males and 11 females aged 22+/-4.8 years. The auditory stimuli are 1s long white noise bursts at 95dB presented over headphones. Visual stimuli are aversive pictures drawn from the International Affective Picture System. ITI are selected randomly on each trial from 29s, 34s or 39s.
description: See the readme file for more detail. Data are stored as .mat files for use with MATLAB in a format readable by the PsPM toolbox (pspm.sourceforge.net). This research was supported by Wellcome Trust grants 098362/Z/12/Z and 098362/Z/12/Z, and Swiss National Science Foundation grant PA00A-117384.
DOI: 10.5281/zenodo.274992
title: PsPM-SCRV4: Skin conductance responses in fear conditioning with visual CS and auditory US

description: This dataset includes skin conductance response (SCR) measurements, CS and US information, keypress responses and keypress response times for each of 32 healthy unmedicated participants (16 males and 16 females aged 22.4+/-4.5 years) participating in a classical (Pavlovian) discriminant delay fear conditioning task. CS is a visual stimulus with variation in position on screen and color. Us is a 1s long white noise burst at 95dB presented over headphones. SOA between the CS and US is varied between participants to be 4, 10, or 16 s. The ITI is selected randomly on each trial from 14, 19, or 23 s
description: See the readme file for more detail. Data are stored as .mat files for use with MATLAB in a format readable by the PsPM toolbox (pspm.sourceforge.net). This research was supported by Wellcome Trust grants 098362/Z/12/Z and 098362/Z/12/Z, and Swiss National Science Foundation grant PA00A-117384.
DOI: 10.5281/zenodo.291449
title: PsPM-SCRV9: Skin conductance responses to visual targets

description: This dataset includes skin conductance response (SCR) measurements for each of 22 healthy unmedicated participants (11 males and 11 females aged 24.7+/-4.5 years) participating in a visual detection task. Participants are requested to react by a keypress to a target visual stimulus (a red cross) embedded in a stream of distractors (white numbers). Stimuli are presented during 200ms and are spaced by a 800ms blank interval. A baseline period with distractors but no targets concludes the experiment. (This is in contrast to the methods description in Bach et al. (2010), according to which the baseline period was randomly either in the beginning or at the end of the experiment. This discrepancy was caused by an error in the code that controlled the experiment presentation.)
description: See the readme file for more detail. Data are stored as .mat files for use with MATLAB in a format readable by the PsPM toolbox (pspm.sourceforge.net). This research was supported by Wellcome Trust grants 098362/Z/12/Z and 098362/Z/12/Z, and Swiss National Science Foundation grant PA00A-117384.
DOI: 10.5281/zenodo.3258416
title: Dataset of tweets, used to detect hazardous events at the Baths of Diocletian site in Rome

description: This dataset is composed by 276865 tweets, extracted from the Twitter stream, in the period from May 2018 to May 2019. Each element is characterized by the ID, that permits to retrieve the tweet from the stream, the text content, the GPS information (if it is provided or not), the localization, and the time. The last attribute of the elements of the dataset is the label associated to the tweet after the process of event detection. If the tweet has been identified as containing useful information of an hazardous event at the Baths of Diocletian site in Rome, the last attribute (Generated  Useful Info at BOD) is "yes", otherwise its value is "no".
DOI: 10.5281/zenodo.3431121
title: WarSampo Knowledge Graph

description: WarSampo Knowledge Graph includes harmonized data of different kinds concerning the Second World War in Finland, separated in different subgraphs representing events, actors, places, photographs, and other aspects and documentation of the war. The data covers the Winter War 1939-1940 against the Soviet attack, the Continuation War 1941-1944 where the occupied areas of the Winter War were temporarily regained, and the Lapland War 1944-1945, where the Finns pushed the German troops away from Lapland. To test and demonstrate its usefulness, this Knowledge Graph is in use in the semantic portal WarSampo, explained in more detail in the project page. Example SPARQL queries for the data: Events, photographs and articles that are situated in Vyborg Casualties of the 1st Division and its subunits in the time interval 13.2.-13.3.1940 by place and date WarSampo knowledge graph version history: 1.0.0, November 2015: Initial public release 1.1.0, November 2017: War cemeteries addition 2.0.0, May 2018: Backwards-incompatible URI changes 2.0.1, November 2019: Updated schema and VoiD descriptions 2.1.0, November 2019: Prisoners of war addition Version 2.1.0 contains 14,322,426 triples. To combine the files into a single Turtle file on a Linux system: <pre><code class="language-bash">find . -mindepth 2 -name "*.ttl" | xargs cat &gt;&gt; warsampo.ttl</code></pre>
DOI: 10.5281/zenodo.3611490
title: PsPM-trSP4: SCR measurement in response to face photographs withangry, neutral, and fearful expression while subjected to auditory distractors

description: This dataset includes skin conductance response (SCR) measurements for each of 42 healthy unmedicated participants (21 males and 21 females aged 25.2 +/- 4.0 years) in response to 38 face photographs (modified from the Karolinska Directed Emotional Faces set, KDEF), each presented once with angry, neutral, and fearful expression for 1 s each. Meanwhile, participants were listening to regular or random distractor sounds, as described in Bach et al. (2015). ITI was selected randomly on each trial from 7.5 s, 9.0 s, or 10.5 s (misprinted in the publications), plus a variable delay of around 0.1 s for image loading. The experiment was preceded by a 2-minute resting period and divided into 3 blocks, separated by resting periods. Each resting period begins and ends with an event marker in the SCR recordings.
description: See the readme file for more detail. This work was supported by the Wellcome Trust [RJD, Senior Investigator Award 098362/Z/12/Z] and the Senate of Berlin [RJD, Einstein Fellowship]. The Wellcome Trust Centre for Neuroimaging is supported by core funding from the Wellcome Trust 091593/Z/10/Z.
DOI: 10.5281/zenodo.4287271
title: PsPM-SCRV6: Skin conductance responses to pain by electric stimulation

description: This dataset includes skin conductance response (SCR) measurements for each of 20 healthy unmedicated participants (10 males and 10 females aged 21.8+/-3.3 years) in response to 10 discomforting electric shocks. Stimuli are 0.5ms wide square current pulse repeated at 500Hz for 100ms. Amplitude is varied (mean +/- SD: 0.78mA +/- 0.43mA). ITI is selected randomly on each trial from 29s, 34s or 39s.
description: See the readme file for more detail. Data are stored as .mat files for use with MATLAB in a format readable by the PsPM toolbox (pspm.sourceforge.net). This research was supported by Wellcome Trust grants 098362/Z/12/Z and 098362/Z/12/Z, and Swiss National Science Foundation grant PA00A-117384.
DOI: 10.5281/zenodo.4362505
title: #IndonesiaHumanRightsSOS Twitter Hashtag Tweets Dataset

description: Dataset ini merupakan hasil dari scraping pada media sosial twitter dengan menggunakan aplikasi twint yang ditujukan pada hashtag #IndonesiaHumanRightsSOS. Scraping data dilakukan untuk cuitan yang dibuat dari tanggal 18 Desember 2020 10:59 AM s/d 19 Desember 2020 23:18 PM. Pada dataset mengandung 106.903 Row data dengan informasi terkait: User ID, Username, Twitter Name,Tweets, dsb. Selain itu dilampirkan juga contoh data yang telah dianalisis berupa wordcloud,username cloud, 100 most used word & most active username. - This dataset is the result of scraping on social media twitter using the twint application aimed at the hashtag #IndonesiaHumanRightsSOS. Data scraping is done for tweets made from December 18 2020 10:59 AM to December 19 2020 23:18 PM. The dataset contains 106,903 rows of data with related information: User ID, Username, Twitter Name, Tweets, etc. Also there is an example of the data that has been analyzed in the form of wordcloud, username cloud, 100 most used words & most active username.