cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7910/dvn/xn4jj1/2albwj
title: Unemployment_w2w3_full_effects.pdf

description: :unav
DOI: 10.7910/dvn/xn4jj1/xenj67
title: Immigration_w2w3_full_effects.pdf

description: :unav
DOI: 10.7910/dvn/xn4jj1/61hlbi
title: Spending_w1w4_full_OR.pdf

description: :unav
DOI: 10.7910/dvn/xn4jj1/bewnmc
title: all_w1w4_place_correct_total_weighted.pdf

description: :unav
DOI: 10.7910/dvn/xn4jj1/blkl4j
title: figure234_placement_analysis.R

description: :unav
DOI: 10.7910/dvn/xn4jj1/hzjqb7
title: 3_raking_for_survey_weights.R

description: :unav
DOI: 10.7910/dvn/xn4jj1/f0ke8v
title: results_aggregate_party_placement_graphs.R

description: :unav
DOI: 10.7910/dvn/xn4jj1/h1jtsb
title: all_w2w3_fact_correct_combo.pdf

description: :unav
DOI: 10.7910/dvn/xn4jj1/uiaiw2
title: all_w2w3_fact_correct_total_weighted.pdf

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DOI: 10.7910/dvn/xn4jj1/qk0zr9
title: ISIS_w2w3_fact_correct_pid.pdf

description: :unav
DOI: 10.7910/dvn/xn4jj1/si9zfk
title: Unemployment_w2w3_fact_correct_weighted.pdf

description: :unav
DOI: 10.7910/dvn/xn4jj1/cwcahz
title: Unemployment_w2w3_fact_correct.pdf

description: :unav
DOI: 10.7910/dvn/xn4jj1/lawfh8
title: all_w1w4_place_correct_combo_rep.pdf

description: :unav
DOI: 10.7910/dvn/xn4jj1/yghwcq
title: all_w2w3_fact_correct_total.pdf

description: :unav
DOI: 10.7910/dvn/xn4jj1/creklw
title: soma_tweets2.tab

description: :unav
DOI: 10.7910/dvn/xn4jj1/d3yo6g
title: new_figures_46.R

description: :unav
DOI: 10.7910/dvn/xn4jj1/wi5mgm
title: all_w2w3_fact_correct_combo_pid.pdf

description: :unav
DOI: 10.7910/dvn/xn4jj1/q4dcbc
title: figure_reweighted_party_placements.R

description: :unav
DOI: 10.7910/dvn/xn4jj1/jbuwmi
title: ISIS_w2w3_full_effects.pdf

description: :unav
DOI: 10.7910/dvn/xn4jj1/wqgtqo
title: ISIS_w2w3_fact_correct_weighted.pdf

description: :unav
DOI: 10.7910/dvn/xn4jj1/ijscia
title: EU_w1w4_full_OR_1.pdf

description: :unav
DOI: 10.7910/dvn/xn4jj1/7smj6n
title: table1_demographics.R

description: :unav
DOI: 10.7910/dvn/xn4jj1/ihm80i
title: figure9_replicate_w_pid.R

description: :unav
DOI: 10.7910/dvn/xn4jj1/jjy9u6
title: figure_reweighted_factual_analysis.R

description: :unav
DOI: 10.7910/dvn/xn4jj1/dis6gz
title: all_w2w3_fact_correct_total_pid.pdf

description: :unav
DOI: 10.7910/dvn/xn4jj1/riaeq8
title: ISIS_w2w3_fact_correct.pdf

description: :unav
DOI: 10.7910/dvn/xn4jj1/difwkm
title: Immigration_w1w4_full_OR.pdf

description: :unav
DOI: 10.7910/dvn/xn4jj1/sm8leb
title: readme.txt

description: :unav
DOI: 10.7910/dvn/xn4jj1/gkaknp
title: Immigration_w2w3_fact_correct_weighted.pdf

description: :unav
DOI: 10.7910/dvn/xn4jj1/olrjwf
title: Unemployment_w2w3_fact_correct_pid.pdf

description: :unav
DOI: 10.7910/dvn/xn4jj1
title: Replication Data for: Political Knowledge and Misinformation in the Era of Social Media: Evidence from the 2015 U.K. Election

description: Replication dataset and code
DOI: 10.21227/p97p-5b55
title: US November 2020 Election Tweets Dataset

description: This data set includes US November 2020 Election related Tweet messages that contain #USAelection or at least one of the following keywords about four party:
DOI: 10.17632/2yjpmd973x.1
title: Using computable knowledge mined from the literature to elucidate confounders for EHR-based pharmacovigilance

description: INTRODUCTION: Confounding bias threatens the reliability of observational data and identifying confounders poses a significant scientific challenge. We hypothesize that adjustment sets of literature-derived confounders could also improve causal inference. This paper shows how to exploit literature-derived knowledge to identify confounders for causal inference from observational data. We show how semantic constraint search over literature-derived computable knowledge helps reduce confounding bias in statistical models of EHR-derived observational data. METHODS: We introduce two methods (semantic vectors and string-based confounder search) that query the literature for potential confounders and use this information to build models from EHR-derived data to more accurately estimate causal effects. These methods search SemMedDB for indications TREATED BY the drug that is also known to CAUSE the adverse event. For evaluation, we attempt to rediscover associations in a publicly available reference dataset containing expected pairwise relationships between drugs and adverse events from empirical data derived from a corpus of 2.2M EHR-derived clinical notes. For our knowledge-base, we use SemMedDB, a database of computable knowledge mined from the biomedical literature. Using standard adjustment and causal inference procedures on dichotomous drug exposures, confounders, and adverse event outcomes, varying numbers of literature-derived confounders are combined with EHR data to predict and estimate causal effects in light of the literature-derived confounders. We then compare results from the adjustment and inference procedures with naive ($\chi^2$, reporting odds ratio) measures of association. RESULTS AND CONCLUSIONS: Logistic regression with ten vector space-derived confounders achieved the most improvement with AUROC of 0.628 (95\% CI: [0.556,0.720]), compared with baseline $\chi^2$ 0.507 (95\% CI: [0.431,0.583]). Bias reduction was improved more often in modeling methods using more rather than less information, and using semantic vector rather than string-based search. We found computable knowledge useful for improving automated causal inference, and identified opportunities for further improvement, including a role for adjudicating literature-derived confounders by subject matter experts.
DOI: 10.17632/gzzj8tc3kt.1
title: Origin of rare-element-mineralized Damara Belt pegmatites: A geochemical and light stable isotope study

description: Supplementary major and trace element data, and O- and H-isotope data. Trace and major element data from whole-rock pegmatite samples collected from the wall zone of zone pegmatites, and near the contact of unzoned pegmatites with country rock. These were analysed by ICP-MS. Major element data were obtained for the same samples by XRF. O-isotope data were collected from quartz and feldspar separates. Where possible, large mnomineralic samples were collected and analysed. H-isotope data are from muscovite, and a single biotite sample (VALG-022).
DOI: 10.17632/6g8634xr4j.4
title: Slowly activating outward membrane currents generate input-output sub-harmonic cross frequency coupling in neurons

description: Data and code files for manuscript submitted to the Journal of Theoretical Biology.
DOI: 10.17632/nrg66cckjm.1
title: Hwang et al. Chinese reference production data

description: This data set includes reference production data for Mandarin and Cantonese for Hwang et al. (2020)
DOI: 10.17632/wtbb5py458.1
title: Bayanno

description: This dataset is published for Bengali continuous speech recognition. The dataset has three files "Script Files" contain the Bengali text for continuous speech and "Speech Files" contain the recorded audio speech. "Speakers_information" CSV file has stored the speaker's information.
DOI: 10.17632/wtbb5py458.2
title: Bayanno

description: This dataset is published for Bengali continuous speech recognition. The dataset has three files "Script Files" contain the Bengali text for continuous speech and "Speech Files" contain the recorded audio speech. "Speakers_information" CSV file has stored the speaker's information.
DOI: 10.17632/wkthry4ym4.1
title: Data for Does particulate matter affects cognitive performance? Evidence from city of Seoul

description: This data is examined for "Does particulate matter affects cognitive performance? Evidence from city of Seoul"
DOI: 10.17632/5jspp7fj82.1
title: CT-FRS for POPF

description: In this multicenter retrospective analysis, we focused on with pancreatoduodenectomy performed at four institutions. This study was to develop a modified Fistula Risk Score (FRS) for predicting clinically relevant postoperative pancreatic fistulas (CR-POPFs) after pancreatoduodenectomy (PD) based on both FRS and contrast-enhanced computed tomography (CE-CT). This was a multicenter, multicohort retrospective study involving 990 consecutive patients from four high-volume academic institutions between 2009 and 2019. The enhanced CT-FRS model initially targeted 26 pre- and intraoperative factors, including CT descriptors, FRS elements and clinical factors for predicting CR-POPF events in discovery (n=718) and externally validated (n=272) datasets. All patients underwent preoperative multiphasic scans within 4 weeks of surgery with at least two contrast-enhanced phases and one non-enhanced phase, as stipulated by current National Comprehensive Cancer Network (NCCN) guidelines. CT descriptors, including four scores of semantic features and seven measurements are detailed in the information list, including scoring of all features by CT, visceral fat area (VFA), pancreatic thickness, width, stump area, remnant pancreatic volume [RPV], surface area-to-volume [Sa/V] ratio, and mean attenuation at pancreatic phase. Scored semantic features were CT-based fatty change (0-3), pancreatic inflammation (0-3), degree of pancreatic atrophy (0-3), and MPD (0-4). All pancreaticoenteric reconstructions were performed after PDs in conjunction with either pancreaticojejunostomy (PJ) or pancreaticogastrostomy (PG) for a full array of indications. Both in discovery and validation datasets, qualifying patients underwent preoperative standardized pancreatic CE-CT imaging, which documented of all four FRS elements. Medical records were accessed for demographic and clinical parameters, including age, sex, BMI, diabetes mellitus, jaundice, smoking, alcohol abuse, and operative factors. Grading of POPFs was dictated by definitions of the International Study Group of Pancreatic Fistula (ISGPF) updated in 2016. The four risk factors required for FRS determinations, operative time and type of anastomosis were obtained from operative notes. Through intraoperative palpation, experienced lead surgeons subjectively characterized pancreatic texture as soft or firm, regardless of histopathology. MPD size (mm) was assessed in axial images of the most recent preoperative CT scans or evaluated intraoperatively by placing flexible rulers against cut surfaces of transected pancreas. The strategies of fistula mitigation were based on surgeons' preferences.
DOI: 10.17632/5jspp7fj82.2
title: CT-FRS for POPF

description: In this multicenter retrospective analysis, we focused on with pancreatoduodenectomy performed at four institutions. This study was to develop a modified Fistula Risk Score (FRS) for predicting clinically relevant postoperative pancreatic fistulas (CR-POPFs) after pancreatoduodenectomy (PD) based on both FRS and contrast-enhanced computed tomography (CE-CT). This was a multicenter, multicohort retrospective study involving 990 consecutive patients from four high-volume academic institutions between 2009 and 2019. The enhanced CT-FRS model initially targeted 26 pre- and intraoperative factors, including CT descriptors, FRS elements and clinical factors for predicting CR-POPF events in discovery (n=718) and externally validated (n=272) datasets. All patients underwent preoperative multiphasic scans within 4 weeks of surgery with at least two contrast-enhanced phases and one non-enhanced phase, as stipulated by current National Comprehensive Cancer Network (NCCN) guidelines. CT descriptors, including four scores of semantic features and seven measurements are detailed in the information list, including scoring of all features by CT, visceral fat area (VFA), pancreatic thickness, width, stump area, remnant pancreatic volume [RPV], surface area-to-volume [Sa/V] ratio, and mean attenuation at pancreatic phase. Scored semantic features were CT-based fatty change (0-3), pancreatic inflammation (0-3), degree of pancreatic atrophy (0-3), and MPD (0-4). All pancreaticoenteric reconstructions were performed after PDs in conjunction with either pancreaticojejunostomy (PJ) or pancreaticogastrostomy (PG) for a full array of indications. Both in discovery and validation datasets, qualifying patients underwent preoperative standardized pancreatic CE-CT imaging, which documented of all four FRS elements. Medical records were accessed for demographic and clinical parameters, including age, sex, BMI, diabetes mellitus, jaundice, smoking, alcohol abuse, and operative factors. Grading of POPFs was dictated by definitions of the International Study Group of Pancreatic Fistula (ISGPF) updated in 2016. The four risk factors required for FRS determinations, operative time and type of anastomosis were obtained from operative notes. Through intraoperative palpation, experienced lead surgeons subjectively characterized pancreatic texture as soft or firm, regardless of histopathology. MPD size (mm) was assessed in axial images of the most recent preoperative CT scans or evaluated intraoperatively by placing flexible rulers against cut surfaces of transected pancreas. The strategies of fistula mitigation were based on surgeons' preferences.
DOI: 10.17632/j4kdb59xyf.3
title: BRD4 Prevents R-Loop Formation and Transcription-Replication Conflicts by Ensuring Efficient Transcription Elongation

description: Effective spatio-temporal control of transcription and replication during S-phase is paramount to maintaining genomic integrity and cell survival. Dysregulation of these systems can lead to conflicts between the transcription and replication machinery causing DNA damage and cell death. BRD4, a BET bromodomain protein and known transcriptional regulator, interacts with P-TEFb to ensure efficient transcriptional elongation by stimulating phosphorylation of RNA Polymerase II (RNAPII). Here we report that disruption of BET bromodomain protein function causes RNAPII pausing on the chromatin and DNA damage affecting cells in S-phase. We find that this persistent, RNAPII-dependent pausing leads to accumulation of RNA:DNA hybrids (R-loops), which are known to lead to transcription-replication conflicts (TRCs), DNA damage, and cell death. Furthermore, we show that resolution of R-loops abrogates BET bromodomain inhibitor-induced DNA damage, and that BET bromodomain inhibition induces both R-loops and DNA damage at sites of BRD4 occupancy. Finally, we see that the BRD4 C-terminal domain, which interacts with P-TEFb, is required to prevent R-loop formation and DNA damage caused by BET bromodomain inhibition and that oncogenes which promote transcription and replication exacerbate BET bromodomain inhibitor-induced DNA damage. Together, these findings demonstrate that BET bromodomain inhibitors can damage DNA via induction of R-loops and TRCs in highly replicative cells.
DOI: 10.17632/5t56sjbgf6.1
title: Audio recordings of genuine and replayed speech at both ends of a telecommunication channel

description: The recordings in this database were collected for the purpose of evaluating the ability of a playback attack detector to safeguard a remote-access speaker-verified and passphrase-protected system from playback attacks. This database includes multiple utterances of the same phrase by the same person in addition to a variety of distorted versions of many of the utterances. Multiple distortions of an utterance were obtained, in part, by simultaneously recording the utterance at both ends of a telecommunication channel – using a digital voice recorder to obtain the user-end (i.e., in-person) recording and a telephony board to obtain the system-end recording. While the former suffers little distortion, the latter suffers the “non-stationary” distortion imposed by the channel. Additional distortions of the same utterance were captured at the system-end of the channel when the in-person recording was replayed at the user-end; these additional recordings simulate playback attacks and suffer the distortion of both the playback device and the channel. The database may be used: to evaluate the vulnerability of a speaker verification system (SVS) to playback attacks; to evaluate the performance of a copy-detection or distortion-detection based playback attack detector (PAD); to evaluate the overall security of a speaker verification system in tandem with a playback attack countermeasure; or to investigate the distortion imposed by various telecommunication channels and/or playback speakers.
DOI: 10.17632/8zxc3kzwxj.1
title: Layer for regionalized LCA data (LCI) and characterization factors (LCIA)

description: The data contains a shapefile with IDs in "Regionalization shapefile.zip" and a respective KML layer (for Google Earth) in "regionalization_layer_v1.kmz". It is meant to be used to aggregate, store and share regionalized results from LCA and LCIA, as the layer covers the main features for impact assessment and policy level. It contains 50’626 units (48’612 terrestrial and 2'014 marine regions). The ID description and correspondance to the original layer are provided in "Description shapefile layer.xlsx", incl. some additional information from the original layers. The information related to countries is in yellow, ecoregions in green, urban in grey and watersheds in light blue. Coastal marine ecoregions are in marked dark blue and fisheries purple. Through the information in this layer, existing regionalized LCIA results such as recommended methods for land and water use can be directly linked. However, they can also be linked just based on ecoregions, watersheds, countries or urban areas using the original shapefiles used to compile this dataset through respective IDs. The following 6 layers have been used: - Urban areas: Natural Earth, Urban Areas, version 4.0.0, 11877 Urban areas Schneider, A., M. A. Friedl and D. Potere (2009) A new map of global urban extent from MODIS data. Environmental Research Letters, volume 4, article 044003. - Country boundaries (subunits) Natural Earth, Admin 0 – Details, version 4.1.0, 197 countries https://www.naturalearthdata.com/downloads/10m-cultural-vectors/10m-admin-0-details/ - Ecoregions Terrestrial Ecoregions of the World, WWF (2012), 867 terrestrial ecoregions Olson, D. M., Dinerstein, E., Wikramanayake, E. D., Burgess, N. D., Powell, G. V. N., Underwood, E. C., D'Amico, J. A., Itoua, I., Strand, H. E., Morrison, J. C., Loucks, C. J., Allnutt, T. F., Ricketts, T. H., Kura, Y., Lamoreux, J. F., Wettengel, W. W., Hedao, P., Kassem, K. R. 2001. Terrestrial ecoregions of the world: a new map of life on Earth. Bioscience 51(11):933-938. - Watersheds Aware method: Input data (WaterGAP), 11049 watersheds; http://www.wulca-waterlca.org/aware.html Müller Schmied, H., Eisner, S., Franz, D., Wattenbach, M., Portmann, F. T., Flörke, M., and Döll, P.: Sensitivity of simulated global-scale freshwater fluxes and storages to input data, hydrological model structure, human water use and calibration, Hydrol. Earth Syst. Sci., 18, 3511-3538, doi:10.5194/hess-18-3511-2014, 2014 - Marine ecosystems: Marine Ecoregions of the World, WWF (2007) Marine Ecoregions of the World: A Bioregionalization of Coastal and Shelf Areas (2007) Spalding M Fox H Allen G Davidson N Ferdaña Z et. al. BioScience 2007 vol: 57 (7) pp: 573-583 - Fishing areas: FAO Statistical Areas for Fishery Purposes - FAO Statistical areas (Marine ) - No coastline (for use with custom coastline resolutions) - GIS data (WFS - SHP). FAO (2019). FAO Statistical Areas for Fishery Purposes. In: FAO Fisheries and Aquaculture Department [online]. Rome.
DOI: 10.17632/g64s8h9k57.3
title: Traffic flow in 13 Romanian cities during and around lifting of COVID19 restrictions

description: This dataset comprises street-level traces of traffic flow as reported by Here Maps for 13 cities of Romania from 15th. of May 2020 and until 9th. of June 2020, covering the time two days before lifting of the mobility restrictions imposed by nation-wide State of Emergency and until five days after the second wave of relaxation (1st. of June 2020). Data were sampled at a 15-minute interval, consistent with the Here API update time. The data are manually annotated with relevant local political and religious events that might influence the traffic flow. Considering the relative scarcity of real-life traffic data, one can use this data set for micro-simulation during development and validation of Intelligent Transportation Solutions (ITS) algorithms and policies while another facet would be in the area of social and political sciences when discussing the effectiveness and impact of statewide restriction during the COVID19 pandemic.
DOI: 10.17632/jn4kc64577.1
title: RiTe II Online Survey Data June 20

description: Raw survey data
DOI: 10.17632/7jnr3g75cj.3
title: The Role of Blueschist Stored in Shallow Lithosphere in the Generation of Post-collisional Orogenic Magmas

description: Nine figures and eighteen tables relevant to this study.
DOI: 10.17632/6whw7rx6b6.1
title: Membrane Segmentation using Unet with Grad-CAM based Heatmap

description: This dataset visualizes Grad-CAM based heatmap applied on membrane segmentation results when using Unet. The training data are shown in "train" folder in which: - "checkpoint" folder: stores checkpoint files for 3 epochs: 100, 500, and 5,000. - "image" folder: holds training images - "label" folder: stores labelled membrane images The testing results are stored in "test_xxx" folders for 3 epochs: 100, 500 and 5,000.
DOI: 10.17632/8rgfbsnvpx.1
title: Zazania Image Dataset

description: The Zazania Image Dataset consisted of high quality and inferior quality Zazinia. Own to my account of the Mendeley Data only has 10GB storage space. We only can upload around 2000 images each category.
DOI: 10.17632/3xmsjhdrc9.1
title: Common Swahili Typos

description: Lists of Swahili typos with their respective proper words are lowercased and comma separated. typoswill be replaced by its respective proper word so as to maintain consistence during vectorization to form vectors that are used in training Machine Learning algorithms .
DOI: 10.17632/8srrgr2jc6.1
title: Elements fractionation (%) in various micro-landscapes across the permafrost gradient of Western Siberia

description: The full data set of elements fractionation (%) in peat porewaters of various micro-landscapes across the permafrost gradient of Western Siberia
DOI: 10.17632/cxr6nn2h3g.2
title: Data for: Understanding of the lubrication mechanism of graphene coating via dual in-situ monitoring of the chemical and topographic structural evolution

description: Dual in-situ analysis data
DOI: 10.17632/y9s8t5gm2g.3
title: The Effects of Sadness Induction on the Sense of Ownership

description: The data shows the effects of a sadness induction on the Rubber Hand Illusion. Our experiment was composed of three experimental groups. One group saw neutral pictures in the beginning of each trial, one group saw subliminally presented sad pictures and one group saw supraliminally presented sad pictures. Following the picture presentation, the Rubber Hand Illusion task was performed. Before and after the stimulation, the proprioceptive estimation of the left index finger was taken and a questionnaire on the subjective illusion strength (Botvinick & Cohen, 1998) was surveyed after the post-proprioception measurement. We performed the picture task and the rubber hand illusion task 4 times, each time applying a different stroking style. Stroking was carried out either synchronously (SY) or asynchronously (AS) combined with either slow (3cm/s) (SL) or fast (30cm/s) (FA) stroking speed. At the baseline and after each picture task, participants completed the SAM scale (Bradley & Lang, 1994). In the end, demographical information was surveyed, as well as a questionnaire on dissociative symptoms (FDS; Freyberger et al., 1999).
DOI: 10.17632/8srrgr2jc6.2
title: Elements fractionation (%) in peat porewaters across the permafrost gradient of Western Siberia

description: The full data set of elements fractionation (%) in peat porewaters of various micro-landscapes across the permafrost gradient of Western Siberia
DOI: 10.17632/cxr6nn2h3g.3
title: Data for: Understanding of the lubrication mechanism of graphene coating via dual in-situ monitoring of the chemical and topographic structural evolution

description: Dual in-situ analysis data