cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.26033/3n6g-zm60
title: Torino Polarimetry of 25143 Itokawa Bundle V1.0

description: This data set contains the polarimetry of asteroid 25143 Itokawa published in Cellino et al. (2005). The observations were made from June 26 through July 3, 2004 with the Torino photopolarimeter at the 2.15 m telescope of the El Leoncito Observatory in Argentina. The degree of linear polarization was measured in five filters (Johnson-Cousins UBVRI).
DOI: 10.25921/c0sm-sh97
title: EK60 Water Column Sonar Data Collected During OS201701
DOI: 10.6084/m9.figshare.19141856.v1
title: Local scale spatial co-dispersion patterns of plant functional traits between co-occurring species

description: Data and R script use for the above titled manuscript in prep
DOI: 10.6084/m9.figshare.19141856
title: Local scale spatial co-dispersion patterns of plant functional traits between co-occurring species

description: Data and R script use for the above titled manuscript in prep
DOI: 10.26033/47s5-da34
title: Spectra of V-Type Candidates from the SDSS MOC Bundle V1.0

description: These data are the results of a spectroscopic survey designed to target and detect asteroids whose photometric colors are similar to those of Vesta family members and thus may be considered as candidates for having a basaltic composition. The colors of these candidates were measured as part of the 3rd release of the Sloan Digital Sky Survey Moving Object Catalog (Ivezic et al. 2001). These spectra were obtained with two visible wavelength instruments: the Echellete Spectrograph and Imager on Keck II and the Supernova Integral Field Spectrograph at the University of Hawaii 2.2m telescope. A subset of these data were published in Moskovitz et al. (2008a, 2008b). Ivezic, Z. and 31 others, Solar System objects observed in the Sloan Digital Sky Survey commissioning data, AJ 122, 2749-2784, 2001. Moskovitz, N.A., R. Jedicke, E. Gaidos, M. Willman, D. Nesvorny, R. Fevig, Z. Ivezic, The distribution of basaltic asteroids in the Main Belt, Icarus 198, 77-90, 2008. Moskovitz, N.A., S. Lawrence, R. Jedicke, M. Willman, N. Haghighipour, S.J. Bus, E. Gaidos, A spectroscopically unique Main-Belt asteroid: 10537 (1991 RY16), ApJ 682, L57-L60, 2008.
DOI: 10.26033/4dqc-8067
title: Roberts Eros Ponds Catalog Bundle V1.1

description: This data set contains two tables describing the size and location of ponded deposits on asteroid 433 Eros. Both tables contain the same pond information, but one is presented in the format required for ingestion by a publicly available 3D visualization application, the Small Body Mapping Tool (Ernst et al., 2018; http://sbmt.jhuapl.edu).
DOI: 10.26033/4nsb-mc72
title: Gaffey Meteorite Spectra Bundle V1.0

description: This data set contains 166 laboratory spectra of 108 meteorite samples, as reported by M. J. Gaffey in Gaffey (1976).
DOI: 10.6084/m9.figshare.19140224
title: January 2022 Covid-19 Twitter Streaming Dataset

description: The file contains Tweet IDs* for COVID-19 related tweets collected in <b>January, 2022</b> from <b>Twitter's COVID-19 Streaming Endpoint </b>via a custom script developed by the <b>Social Media Lab (https://socialmedialab.ca/)</b>.<br>Visit <b>our interactive dashboard at https://stream.covid19misinfo.org</b>/ for a preview and some general stats about this COVID-19 Twitter streaming dataset.<br>For more info about <b>Twitter's COVID-19 Streaming Endpoint</b>, visit <b>https://developer.twitter.com/en/docs/labs/covid19-stream/overview</b><br><b>Note</b>: In accordance with Twitter API Terms, the dataset only includes Tweet IDs (as opposed to the actual tweets and associated metadata). To recollect tweets contained in this dataset, you can use programs such as Hydrator (https://github.com/DocNow/hydrator/) or the Python library Twarc (https://github.com/DocNow/twarc/).
DOI: 10.6084/m9.figshare.19140224.v1
title: January 2022 Covid-19 Twitter Streaming Dataset

description: The file contains Tweet IDs* for COVID-19 related tweets collected in <b>January, 2022</b> from <b>Twitter's COVID-19 Streaming Endpoint </b>via a custom script developed by the <b>Social Media Lab (https://socialmedialab.ca/)</b>.<br>Visit <b>our interactive dashboard at https://stream.covid19misinfo.org</b>/ for a preview and some general stats about this COVID-19 Twitter streaming dataset.<br>For more info about <b>Twitter's COVID-19 Streaming Endpoint</b>, visit <b>https://developer.twitter.com/en/docs/labs/covid19-stream/overview</b><br><b>Note</b>: In accordance with Twitter API Terms, the dataset only includes Tweet IDs (as opposed to the actual tweets and associated metadata). To recollect tweets contained in this dataset, you can use programs such as Hydrator (https://github.com/DocNow/hydrator/) or the Python library Twarc (https://github.com/DocNow/twarc/).
DOI: 10.26033/4x2f-0j37
title: High-inclination Asteroid Families Bundle V1.0

description: This data set contains the high-inclination asteroid families of Gil-Hutton (2006). A data set of 3652 high-inclination numbered asteroids was analyzed to search for dynamical families. The basic data set was the list of 3697 asteroid synthetic proper elements taken from the Asteroid Dynamic Site, March 2005 version; Knezevic and Milani (2000). For this analysis, only asteroids with sine of proper inclination greater than 0.3 were used.
DOI: 10.6084/m9.figshare.18343088
title: RA&Mortality.sav

description: <b>Objective: </b>The aim of this study is to investigate the causes of mortality in patients diagnosed with rheumatoid arthritis (RA) and the effects of DMARDs to be used in the treatment of RA on mortality. <b>Material and Method: : </b>A total of 743 RA patients over the age of 18 who attended between 2010 and 2020 in the hospital where this study was conducted, were included in the study. The patients' clinical and laboratory were obtained from the hospital database, whereas the relevant mortality and population data were obtained from the Turkish Ministry of Health system and the Turkish Statistical Institute, respectively. The standardized mortality ratio (SMR) was calculated by dividing the number of mortalities observed in the cohort by the number of mortalities in the Turkish population of the same age and gender. Patients were divided into two groups: those who only use only conventional disease-modifying antirheumatic drugs (cDMARDs) and those who take cDMARDs plus biologic disease-modifying antirheumatic drugs (bDMARDs). Head-to-head comparisons were made in terms of mortalities both between the said groups and within the group of patients that use bDMARDs. <b>Results: </b>Mortality occurred in 61 patients from among the<b> </b>743 RA patients followed up between 2010 and 2020. SMR of the RA patients was found to be 1.42 [(CI (confidence interval) 1.09-1.81)] in the Turkish population. SMR was determined to be higher in the cDMARD cohort than in the bDMARD cohort [2.05 (CI 1.53-2.69) and 0.66 (CI 0.37-1.11), respectively]. The most common causes of mortality in RA patients were determined as cardiovascular diseases 18 (29.5%), infectious diseases 13 (21.3%) and respiratory system diseases 12 (19.7%). The mortality rate due to infectious diseases was determined to be higher in the bDMARD cohort as compared to the cDMARD cohort (30.8% vs 18.8%), whereas the mortality rate due to cardiovascular causes was determined to be higher in the cDMARD cohort as compared to the bDMARD cohort (31.3% vs. 23.1%), albeit not statistically significantly in either of the cases. <b>Conclusion:</b> This study is the first mortality study reported from Turkey in patients with a diagnosis of RA. The results of this study indicated that the SMR of RA patients is higher than the SMR observed in the general Turkish population. Therefore, in order to reduce mortality in patients with RA, RA patients should be followed more carefully, and treated more effectively in terms of both RA and any comorbid diseases they might have.<br>
DOI: 10.6084/m9.figshare.18343088.v2
title: RA&Mortality.sav

description: <b>Objective: </b>The aim of this study is to investigate the causes of mortality in patients diagnosed with rheumatoid arthritis (RA) and the effects of DMARDs to be used in the treatment of RA on mortality. <b>Material and Method: : </b>A total of 743 RA patients over the age of 18 who attended between 2010 and 2020 in the hospital where this study was conducted, were included in the study. The patients' clinical and laboratory were obtained from the hospital database, whereas the relevant mortality and population data were obtained from the Turkish Ministry of Health system and the Turkish Statistical Institute, respectively. The standardized mortality ratio (SMR) was calculated by dividing the number of mortalities observed in the cohort by the number of mortalities in the Turkish population of the same age and gender. Patients were divided into two groups: those who only use only conventional disease-modifying antirheumatic drugs (cDMARDs) and those who take cDMARDs plus biologic disease-modifying antirheumatic drugs (bDMARDs). Head-to-head comparisons were made in terms of mortalities both between the said groups and within the group of patients that use bDMARDs. <b>Results: </b>Mortality occurred in 61 patients from among the<b> </b>743 RA patients followed up between 2010 and 2020. SMR of the RA patients was found to be 1.42 [(CI (confidence interval) 1.09-1.81)] in the Turkish population. SMR was determined to be higher in the cDMARD cohort than in the bDMARD cohort [2.05 (CI 1.53-2.69) and 0.66 (CI 0.37-1.11), respectively]. The most common causes of mortality in RA patients were determined as cardiovascular diseases 18 (29.5%), infectious diseases 13 (21.3%) and respiratory system diseases 12 (19.7%). The mortality rate due to infectious diseases was determined to be higher in the bDMARD cohort as compared to the cDMARD cohort (30.8% vs 18.8%), whereas the mortality rate due to cardiovascular causes was determined to be higher in the cDMARD cohort as compared to the bDMARD cohort (31.3% vs. 23.1%), albeit not statistically significantly in either of the cases. <b>Conclusion:</b> This study is the first mortality study reported from Turkey in patients with a diagnosis of RA. The results of this study indicated that the SMR of RA patients is higher than the SMR observed in the general Turkish population. Therefore, in order to reduce mortality in patients with RA, RA patients should be followed more carefully, and treated more effectively in terms of both RA and any comorbid diseases they might have.<br>
DOI: 10.6084/m9.figshare.18343088.v1
title: RA&Mortality.sav

description: <b>Objective: </b>The aim of this study is to investigate the causes of mortality in patients diagnosed with rheumatoid arthritis (RA) and the effects of DMARDs to be used in the treatment of RA on mortality. <b>Material and Method: : </b>A total of 743 RA patients over the age of 18 who attended between 2010 and 2020 in the hospital where this study was conducted, were included in the study. The patients' clinical and laboratory were obtained from the hospital database, whereas the relevant mortality and population data were obtained from the Turkish Ministry of Health system and the Turkish Statistical Institute, respectively. The standardized mortality ratio (SMR) was calculated by dividing the number of mortalities observed in the cohort by the number of mortalities in the Turkish population of the same age and gender. Patients were divided into two groups: those who only use only conventional disease-modifying antirheumatic drugs (cDMARDs) and those who take cDMARDs plus biologic disease-modifying antirheumatic drugs (bDMARDs). Head-to-head comparisons were made in terms of mortalities both between the said groups and within the group of patients that use bDMARDs. <b>Results: </b>Mortality occurred in 61 patients from among the<b> </b>743 RA patients followed up between 2010 and 2020. SMR of the RA patients was found to be 1.42 [(CI (confidence interval) 1.09-1.81)] in the Turkish population. SMR was determined to be higher in the cDMARD cohort than in the bDMARD cohort [2.05 (CI 1.53-2.69) and 0.66 (CI 0.37-1.11), respectively]. The most common causes of mortality in RA patients were determined as cardiovascular diseases 18 (29.5%), infectious diseases 13 (21.3%) and respiratory system diseases 12 (19.7%). The mortality rate due to infectious diseases was determined to be higher in the bDMARD cohort as compared to the cDMARD cohort (30.8% vs 18.8%), whereas the mortality rate due to cardiovascular causes was determined to be higher in the cDMARD cohort as compared to the bDMARD cohort (31.3% vs. 23.1%), albeit not statistically significantly in either of the cases. <b>Conclusion:</b> This study is the first mortality study reported from Turkey in patients with a diagnosis of RA. The results of this study indicated that the SMR of RA patients is higher than the SMR observed in the general Turkish population. Therefore, in order to reduce mortality in patients with RA, RA patients should be followed more carefully, and treated more effectively in terms of both RA and any comorbid diseases they might have.<br>
DOI: 10.34740/kaggle/dsv/3158759
title: Omicron daily cases by country (COVID-19 variant)
DOI: 10.6084/m9.figshare.16778962
title: ecg-polar-h10-set4

description: Single-lead ECG tracings along with heart rate and 3-axis chest actigraphy using a Polar H10 sensor worn with on a Polar Pro chest strap, with data transferred via bluetooth to an Android smartphone (Realme 6i) that serves as a bluetooth receptor unit and data recorder via the Polar Sensor Logger app on Android by Jukka Happonen (Polar developer, this app is unofficial): https://play.google.com/store/apps/details?id=com.j_ware.polarsensorlogger<br>Data was compressed with 7-zip using LZMA2 in Normal compression setting and split into 5GB parts to respect the file size limit of figshare. Total is 11.4 GB compressed, 66 GB uncompressed.<br>This dataset covers the period from 2021-07-12 to 2021-10-08, with a gap between 2021-08-21 to 2021-09-13 during which no data was acquired due to travelling. There is no overlap with previous sets, this is the continuation. See other sets for further data.<br>This wearable was only worn when at home.<br>Each file represents one acquisition session, of variable time up to 140h in one session. The acquisition software also split files when the device is temporarily out of reach, so there several files with very few entries, which means the device was barely reachable or went in and out of bluetooth range. These files can be concatenated to study a longer time period. There are 4 types of files: ECG for the raw ECG at 133Hz sampling rate, HR for the heart-rate computed by the proprietary Polar embedded software in the H10 sensor and also the IBI (inter-beats intervals) to ease calculation of HRV (heart rate variability), ACC for the 3-axis (accelerometer = translation axes) chest actigraphy set at 100Hz sampling rate and 4g sampling resolution, and Marker which are manual markers by the operator to mark special temporal events but they were not used for this study so they are either deleted or empty. For the full technical specification of the Polar H10 device, see: https://github.com/polarofficial/polar-ble-sdk/tree/master/technical_documentation
DOI: 10.5281/zenodo.6013975
title: BullyBlocker Instagram Coding Dataset

description: Annotated Instagram dataset with detailed labels about key cyberbullying properties, such as the content type, purpose, directionality, and co-occurrence with other phenomena.
DOI: 10.5281/zenodo.6013974
title: BullyBlocker Instagram Coding Dataset

description: Annotated Instagram dataset with detailed labels about key cyberbullying properties, such as the content type, purpose, directionality, and co-occurrence with other phenomena.
DOI: 10.5281/zenodo.5765433
title: TNBC XevaSet

description: TNBC XevaSet curated by BHK Lab
DOI: 10.5281/zenodo.5765432
title: TNBC XevaSet

description: TNBC XevaSet curated by BHK Lab
DOI: 10.6084/m9.figshare.14646657
title: High Frequency of Post-Transfusion Microchimerism, Among Transfused Beta Thalassemic Patients

description: Data sets are a sample of PCR amplification Plot and a sample of raw data produced by PCR cycler and comprehensive dataset showing basic elements of the study<br>
DOI: 10.6084/m9.figshare.14646657.v10
title: High Frequency of Post-Transfusion Microchimerism, Among Transfused Beta Thalassemic Patients

description: Data sets are a sample of PCR amplification Plot and a sample of raw data produced by PCR cycler and comprehensive dataset showing basic elements of the study<br>
DOI: 10.6084/m9.figshare.14646657.v9
title: High Frequency of Post-Transfusion Microchimerism, Among Transfused Beta Thalassemic Patients

description: Data sets are a sample of PCR amplification Plot and a sample of raw data produced by PCR cyclerA new, more comprehensive dataset will be uploaded as soon as posssible<br>
DOI: 10.5066/p9dylwmp
title: Record quality tables for the Mineral Resources Data System

description: The tables in this data release provide measures of quality for each of 304,643 records in the Mineral Resources Data System (MRDS) database, located at https://mrdata.usgs.gov/mrds/ describing mineral resources worldwide but focusing on those located in the United States. One table provides the measures of quality, the other provides the overall record scores that may be used to sort records by overall quality. MRDS is distributed from the U.S. Geological Survey (USGS) in several different formats for the convenience of a variety of different users. For example a flattened version of the database is available in which the one-to-many relationships in MRDS are suppressed by combining them into a single field, resulting in a subset of the data that can be viewed, albeit confusingly, in a spreadsheet. The underlying database is relational with about 35 linked tables. That was the source used in this analysis. The measures of quality were obtained from an analysis of the fully relational form of MRDS, in which each record of MRDS is represented by many rows of a variety of tables in the database. The tables of the fully relational form of MRDS are described in detail at: https://mrdata.usgs.gov/mrds/full/about.php. MRDS records describe individual mineral resources. This analysis is intended to separate records that describe those resources well and are trustworthy from those that lack fundamental information or cannot be verified easily. The results of the analysis assign to each MRDS record a grade from A to E, where A records are judged the most informative and reliable and E records the least informative and reliable. Code used to carry out the analysis is included to help users understand the procedure used.
DOI: 10.6084/m9.figshare.19142039
title: DataBase_BCQ_SPSI.sav

description: The goal of these secondary analyses was to explore the impact of the seismic activity on cancer patient care regarding barriers to health care services provided to patients during and after exposure.
DOI: 10.6084/m9.figshare.19142039.v1
title: DataBase_BCQ_SPSI.sav

description: The goal of these secondary analyses was to explore the impact of the seismic activity on cancer patient care regarding barriers to health care services provided to patients during and after exposure.
DOI: 10.5281/zenodo.6014148
title: Rapid spectroscopy-based screening techniques for spices data

description: The dataset from the analysis of spices with a rapid spectroscopy-based screening technique, Fourier transform-Raman (FT-Raman) spectroscopy. Measurements are taken for the authentication of spice (i.e. turmeric) using FT-Raman spectroscopy as part of WP3 (Task 3.1): Implementation of innovations in food authenticity. The dataset is generated to develop a method for the rapid detection of lead chromate in turmeric powder. Measurements (FT-Raman spectra) are averaged per sample and only the final average spectral data is provided in the Excel sheets. The data is useful for anyone working with spectral data and its use for the authentication of spices. Data underlying the publication: Real or fake yellow in the vibrant colour craze: Rapid detection of lead chromate in turmeric.
DOI: 10.5281/zenodo.6014147
title: Rapid spectroscopy-based screening techniques for spices data

description: The dataset from the analysis of spices with a rapid spectroscopy-based screening technique, Fourier transform-Raman (FT-Raman) spectroscopy. Measurements are taken for the authentication of spice (i.e. turmeric) using FT-Raman spectroscopy as part of WP3 (Task 3.1): Implementation of innovations in food authenticity. The dataset is generated to develop a method for the rapid detection of lead chromate in turmeric powder. Measurements (FT-Raman spectra) are averaged per sample and only the final average spectral data is provided in the Excel sheets. The data is useful for anyone working with spectral data and its use for the authentication of spices. Data underlying the publication: Real or fake yellow in the vibrant colour craze: Rapid detection of lead chromate in turmeric.
DOI: 10.5517/ccdc.csd.cc28ry77
title: CCDC 2108379: Experimental Crystal Structure Determination

description: Related Article: Zhifen Guo, Xin Liu, Yan Che, Dashu Chen, Hongzhu Xing|2022|Inorg.Chem.|61|2695|doi:10.1021/acs.inorgchem.1c03961
DOI: 10.5517/ccdc.csd.cc28xvy0
title: CCDC 2113113: Experimental Crystal Structure Determination

description: Related Article: Abhishek Mishra, Atanu Betal, Nisha Kamboj, Prem Lama, Radhe Shyam Ji, Satyajit Sahu, Ramesh K. Metre|2022|J.Mol.Struct.|1255|132478|doi:10.1016/j.molstruc.2022.132478
DOI: 10.5517/ccdc.csd.cc28xvz1
title: CCDC 2113114: Experimental Crystal Structure Determination

description: Related Article: Abhishek Mishra, Atanu Betal, Nisha Kamboj, Prem Lama, Radhe Shyam Ji, Satyajit Sahu, Ramesh K. Metre|2022|J.Mol.Struct.|1255|132478|doi:10.1016/j.molstruc.2022.132478
DOI: 10.5517/ccdc.csd.cc28xw03
title: CCDC 2113115: Experimental Crystal Structure Determination

description: Related Article: Abhishek Mishra, Atanu Betal, Nisha Kamboj, Prem Lama, Radhe Shyam Ji, Satyajit Sahu, Ramesh K. Metre|2022|J.Mol.Struct.|1255|132478|doi:10.1016/j.molstruc.2022.132478
DOI: 10.5281/zenodo.6014094
title: Portable/on site devices (i.e. Specim IQ) spectral data on spice/pepper

description: The dataset from the analysis of spices with portable/on-site devices (i.e. Specim IQ) based on light spectroscopy. Measurements are taken for the authentication of spice (i.e. pepper) using an on-site/portable/handheld device as part of WP3 (Task 3.1): Implementation of innovations in food authenticity. Measurements (reflectance values) are averaged per sample and only the final average spectral data is provided in the Excel sheets. The data is useful for anyone working with spectral data and its use for the authentication of spices.
DOI: 10.5281/zenodo.6014093
title: Portable/on site devices (i.e. Specim IQ) spectral data on spice/pepper

description: The dataset from the analysis of spices with portable/on-site devices (i.e. Specim IQ) based on light spectroscopy. Measurements are taken for the authentication of spice (i.e. pepper) using an on-site/portable/handheld device as part of WP3 (Task 3.1): Implementation of innovations in food authenticity. Measurements (reflectance values) are averaged per sample and only the final average spectral data is provided in the Excel sheets. The data is useful for anyone working with spectral data and its use for the authentication of spices.
DOI: 10.5281/zenodo.6014046
title: Serialized

description: serialized models
DOI: 10.5281/zenodo.6014353
title: Supplemental Material for "Single-molecule dynamics of DNA methyltransferase DnmA are regulated by DNA methylation and RNA-DNA hybrids"

description: Raw data for single-particle tracking analysis.
DOI: 10.5281/zenodo.6014045
title: Serialized

description: serialized models
DOI: 10.5281/zenodo.6014352
title: Supplemental Material for "Single-molecule dynamics of DNA methyltransferase DnmA are regulated by DNA methylation and RNA-DNA hybrids"

description: Raw data for single-particle tracking analysis.