cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.3835582
title: Data Files for PyGDSM: Python interface to the Global Diffuse Sky Model

description: HDF5 data files for PyGDSM: Python interface to Global Diffuse Sky Models PyGDSM is a Python interface for the Global Diffuse Sky Models (GDSM ascl:1011.010). GDSM are models of diffuse galactic radio emission, constructed from a variety of all-sky surveys spanning the radio band (e.g. Haslam and WMAP). PyGDSM uses the Global Sky Model (GSM2008) of Oliveira-Costa et. al., (2008), Zheng et. al., (2016) model GSM2016, and LWA1 Low Frequency Sky Model (LFSM). The PyGDSM module provides visualization utilities, file output in FITS format, and the ability to generate observed skies for a given location and date. PyGDSM requires Healpy, PyEphem (ascl:1112.014), and AstroPy (ascl:1304.002).
DOI: 10.17632/pbyv3pv63g.1
title: The structure of exported goods from Russia to China, January 2017-April 2018

description: Includes 9 main exported categories of product turnover from Russia to China.
DOI: 10.17632/tjvzs82xjt.1
title: The structure of imported goods from China to Russia, 2017-2018

description: Includes 9 main imported categories of product turnover from Russia to China.
DOI: 10.17632/ydmtdbndnp.1
title: Trade turnover between Russia and China

description: Includes the trade turn over between Russia and China from January 2013 to December 2018. (export/import by months)
DOI: 10.17632/kdn28v6rn8.1
title: Computational Study of Substitutions of Early Actinides and Ce into Zirconolite

description: Within this dataset, the coordinate data of the calculations performed in this study will be included. All calculations were performed using TURBOMOLE 7.2, 7.2.1 or 7.3. Calculations are separated by type - PEECM or molecular - with PEECM further separated by actinide substitution site and charge balancing ion.
DOI: 10.17632/w7g3ynkc6n.1
title: Cuboid-Sphere Collision Detection

description: The present program tests the run-time efficiency of algorithms for collision detection of one sphere and one randomly oriented cuboid. The acceptance rate, i.e. the number of non-overlapping configurations, the radius of the sphere and a set of cuboids with different thickness T, length L and width W are defined in input. The program generates a set number of configurations choosing a random point inside a spherocuboid as the centre of the sphere. The spherocuboid is centred at the centre of the cuboid and has the same orientation of the cuboid.
DOI: 10.18430/m36wwd
title: X-ray diffraction data for the crystal structure of Nucleoside-triphosphatase / dITP/XTP pyrophosphatase from Mycobacterium abscessus ATCC 19977 / DSM 44196 (6WWD)
DOI: 10.5281/zenodo.3834327
title: IODP Expedition 362 Hole U1481A - Well Logging Data

description: Geophysical well logging data acquired on JOIDES Resolution.
DOI: 10.17632/wyj8wwz5yc.1
title: Examples for conflicts: Results from Microscopic traffic flow simulation, conflict analysis and nanoscopic simulation

description: This dataset contains the following data for a selection of conflicts: microscopic traffic flow simulation results (folder Microscopic), conflict analysis results (table Conflict_analysis.xlsx) and nanoscopic simulation results (folder Nanoscopic). Due to the large filesizes of the full data for all conflicts, a handful or interesting conflicts were selected. Where relevant, results of the driving dynamics in nanoscopic simulation are supplied. The nanoscopic simulation of the treatment included a safety system in both primary conflict vehicles. This system triggers at TTC &lt;= 1s and features a brake release functionality. In the following, the selected conflict indices are stated with an explanation why these conflicts were selected: 4: A situation with no collision event in the baseline. In the treatment, no system activation took place. The driving dynamics are supplied only for the baseline. For the treatment, they are equal. 623: An example for a new collision. Both the baseline and treatment are supplied in the driving dynamics. 1723: One situation in the cluster of collision events shown in Figure 11. Only the baseline is supplied as driving dynamics. 2473: A situation where the collision in the baseline was avoided (i.e. no collision in the treatment). Both the baseline and treatment are supplied in the driving dynamics. 2572: A collision event with low Δv. Only the baseline is supplied as driving dynamics. 2613: Changed collision. In the treatment, the collision occurred between different traffic participants than in the baseline. Both the baseline and treatment are supplied in the driving dynamics. 2709: Unchanged collision. A collision occurs between the same traffic participants in the baseline and treatment. Both the baseline and treatment are supplied in the driving dynamics.
DOI: 10.5281/zenodo.3835534
title: GAW URLs and time stamps 2019-12

description: The dataset comprises the URLs and corresponding time stamps of the GAW snapshot harvested in 2019-12. The compressed directory <em>2019-12.zip</em> contains 100 files. Each file contains two columns delimited by a tab. The time stamps are given in the format of the java equivalent yyyyMMddHHmmss and are parsed as: <pre>DateTime.parse(timeStamp, DateTimeFormat.forPattern("yyyyMMddHHmmss")).getMillis</pre>
DOI: 10.5281/zenodo.3835535
title: GAW URLs and time stamps 2019-12

description: The dataset comprises the URLs and corresponding time stamps of the GAW snapshot harvested in 2019-12. The compressed directory <em>2019-12.zip</em> contains 100 files. Each file contains two columns delimited by a tab. The time stamps are given in the format of the java equivalent yyyyMMddHHmmss and are parsed as: <pre>DateTime.parse(timeStamp, DateTimeFormat.forPattern("yyyyMMddHHmmss")).getMillis</pre>
DOI: 10.17632/x7zs83khg4.2
title: Visualizing and Modulating Mitophagy for Therapeutic Studies of Neurodegeneration. Hiroyuki Katayama et al.
DOI: 10.25387/g3.10321538
title: Supplemental Material for Karavolias et al., 2020

description: KaravoliasSupplementalFile2.csv is a spreadsheet listing the accessions used.KaravoliasSupplementalFile1.tar is a zip file with Data and Software files (C++, R scripts, generated pdfs, and raw phenotypic data) used in the study. <br>
DOI: 10.25387/g3.10321538.v1
title: Supplemental Material for Karavolias et al., 2020

description: KaravoliasSupplementalFile2.csv is a spreadsheet listing the accessions used.KaravoliasSupplementalFile1.tar is a zip file with Data and Software files (C++, R scripts, generated pdfs, and raw phenotypic data) used in the study. <br>
DOI: 10.5066/p9f59wbt
title: Investigating the effects of broad ion beam milling to sedimentary organic matter

description: To test if reflectance increases to sedimentary organic matter (vitrinite) caused by broad ion beam (BIB) milling were related to molecular aromatization and condensation, we used Raman and Fourier transform infrared (FTIR) spectroscopies to evaluate potential compositional changes in the same vitrinite locations pre- and post-BIB milling. The same locations also were examined by atomic force microscopy (AFM) to determine topographic changes caused by BIB milling (as expressed by the areal root-mean-square roughness parameter Rq). Samples consisted of four medium volatile bituminous coals. We used a non-aggressive BIB milling approach with conditions of [(5 min, 4 keV, 15?incline, 360? rotation at 25 rpm and 100% focus (1.5 kV discharge; ~100 &#956;A)] This gentle BIB milling caused vitrinite reflectance (VRo) increases of 12 to 36 percent of the original values. When molecular proxies from FTIR (e.g., A- and C-factor, branching ratio) were plotted against each other for the same vitrinite locations pre- and post-milling, data points generally lie within error of a 1:1 line. Likewise, Raman thermal proxy (e.g., G-FWHM, RBS and D1/G) values were similar for pre- and post-milled locations, also plotting within error of a 1:1 line. AFM confirms the majority (24 of 36) of pre- and post-ion milled surface pairs were smoother after BIB milling. We interpret these results to indicate VRo increase induced by gentle BIB milling is an effect of decreased diffuse reflectance due to flatter surfaces, causing more photons to reflect directly back to the detector. We see little evidence for molecular aromatization and condensation of vitrinite molecules following BIB milling with the conditions used in our study. Observed milling-induced artifacts, including differential milling effects dependent on location and the development of self-organized patterned structures, indicate much work remains in standardization of BIB milling before its promulgation as a routine sample preparation technique for organic petrography. These results provide better understanding of anthropogenic-induced changes to geological samples caused by the now widespread adoption of BIB milling as a disruptive innovation in sample preparation.
DOI: 10.5281/zenodo.3835785
title: List of studies on Covid-19 identified in PubMed and excluded from our systematic review

description: In the course of our PubMed searches we identified and screened the title and abstract of a number of studies on Covid-19 that were finally excluded from our systematic review. This file will be updated regularly (once a week).
DOI: 10.5281/zenodo.3835947
title: KNIME workflows for the evaluation of neurotoxic effects in zebrafish embryos by automatic measurement of early motor behaviours

description: Zebrafish (<em>Danio rerio</em>) has rapidly become a popular model species for behavioural studies that may be relevant to drug screening and safety toxicology. Zebrafish embryos show a complex behavioural repertoire already a few days after fertilizations. Particularly, early stage zebrafish show characteristic behavioural features such as spontaneous tail coilings (STCs) or induced movements when exposed to a short and bright light flash (called photomotor response -PMR-). In this chapter, we provide the methods for assessing the STC and PMR in zebrafish embryos and detect changes provoked by chemicals. One of the protocols uses video analysis suitable for automated high-throughput screening. Moreover, both protocols describe the use of automated video analysis by using an open-source integration platform (KNIME analytics platform), providing a flexible workflow system that can be adapted to a diversity of video recordings. We also provide a toxicological validation of this assay and show that these protocols can be used to provide an automated, high data-content readout for zebrafish behavioural responses.
DOI: 10.17632/djdyh68y3j.1
title: Think-aloud sessions and events generated during the development of an interactive map

description: This dataset contains think aloud sessions recordings along with IDE events generated by KaVE FeedBaG++ : http://www.kave.cc/feedbag Source code of the application created during the think aloud sessions: https://github.com/ketogo/Ketogo WakaTime: https://wakatime.com/@f27e6656-7e82-4011-a280-2e0d157d510b/projects/sxxkcblxis?start=2020-04-20&end=2020-05-12 Pontential usage: -Studies on programming behavior -Benchmarking of tools
DOI: 10.5281/zenodo.3835568
title: Perceptual comparison between the auralized and the real room for a classroom scenario - listening test results

description: The raw data of the listening test.
DOI: 10.5281/zenodo.3835569
title: Perceptual comparison between the auralized and the real room for a classroom scenario - listening test results

description: Outdated version! Please use the newest version!
DOI: 10.5281/zenodo.3835778
title: Educational Social Software in der Bildungspraxis – Eine empirische Studie am Beispiel von Mahara.at

description: Bei diesem Datensatz handelt es sich um die Datenbasis für die Masterarbeit mit dem Titel "Educational Social Software in der Bildungspraxis – Eine empirische Studie am Beispiel von Mahara.at". Es ist ein Dump einer PostgreSQL-Datenbank im Plain-Text-Format, der von einer aktiven Mahara-Instanz gezogen wurde.
DOI: 10.5281/zenodo.3835779
title: Educational Social Software in der Bildungspraxis – Eine empirische Studie am Beispiel von Mahara.at

description: Bei diesem Datensatz handelt es sich um die Datenbasis für die Masterarbeit mit dem Titel "Educational Social Software in der Bildungspraxis – Eine empirische Studie am Beispiel von Mahara.at". Es ist ein Dump einer PostgreSQL-Datenbank im Plain-Text-Format, der von einer aktiven Mahara-Instanz gezogen wurde.
DOI: 10.5519/qd.18vop4hc
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.15129/6208cb8d-28f2-4b36-9cef-0fa29859e82f
title: Data for: "Biologically modified ultramicroelectrode sensors provide enhanced sensitivity for detection of nucleic acid sequences from Mycobacterium tuberculosis"

description: Data relating to the manuscript "Biologically modified ultramicroelectrode sensors provide enhanced sensitivity for detection of nucleic acid sequences from Mycobacterium tuberculosis". The file contains 10 csv files, each with raw data from a figure in the manuscript, and readme text file explaining the context of the data.
DOI: 10.21227/eyxm-e116
title: Coronavirus (COVID-19) Geo-tagged Tweets Dataset

description: This dataset contains the geolocation-based sentiment analysis data. The data is generated by an on-going project deployed at https://live.rlamsal.com.np. The geolocation data was extracted from the tweets which mentioned anything about "corona", "covid-19", "coronavirus" or the variants of "sars-cov-2". Complying with Twitter's data sharing policy, only the tweet IDs are shared. You can re-construct the dataset by hydrating these IDs. The tweet IDs in this dataset belong to the tweets tweeted with an exact location that contained any of the previously mentioned keywords.Note: I started sharing the IDs of the tweets that contained the exact location information, only since April 28, 2020, with some genuine requests coming in from academic researchers who did not want to hydrate the whole lists of IDs (above 80 million tweets) shared in the Coronavirus (COVID-19) Tweets Dataset.If you need the geolocation-based data starting March 20, 2020, then use the Coronavirus (COVID-19) Tweets Dataset and hydrate the IDs while adding the following condition:data = json.loads(data) if data["coordinates"]: longitude, latitude = data["coordinates"]["coordinates"]The data is available in two formats: CSV and JSON. I'll be sharing new files every day, and the files will be named period-wise. For example, april28-april29.* will contain tweet ID and sentiment data of the tweets that were tweeted between April 28, 2020, and April 29, 2020.
DOI: 10.21227/wb0s-3b62
title: Coronavirus (COVID-19) Geo-tagged Tweets Dataset

description: This dataset contains the IDs of geo-tagged Tweets. The data is generated by an on-going project deployed at https://live.rlamsal.com.np. The geolocation data was extracted from the tweets which mentioned anything about "corona", "covid-19", "coronavirus" or the variants of "sars-cov-2". Complying with Twitter's data sharing policy, only the tweet IDs are shared. You can re-construct the dataset by hydrating these IDs. The tweet IDs in this dataset belong to the tweets tweeted with an exact location that contained any of the previously mentioned keywords.Note: I started sharing the IDs of the tweets that contained the exact location information, only since April 28, 2020, with some genuine requests coming in from academic researchers who did not want to hydrate the whole lists of IDs (above 80 million tweets) shared in the Coronavirus (COVID-19) Tweets Dataset.If you need the geolocation-based data starting March 20, 2020, then use the Coronavirus (COVID-19) Tweets Dataset and hydrate the IDs while adding the following condition:data = json.loads(data) if data["coordinates"]: longitude, latitude = data["coordinates"]["coordinates"]The data is available in two formats: CSV and JSON. I'll be sharing new files every day, and the files will be named period-wise. For example, april28-april29.* will contain tweet ID and sentiment data of the tweets that were tweeted between April 28, 2020, and April 29, 2020.
DOI: 10.5281/zenodo.3835776
title: Dataset related to the article "Lesion Index: A Novel Guide in the Path of Successful Pulmonary Vein Isolation"

description: This record contains raw data related to the article "Lesion Index: A Novel Guide in the Path of Successful Pulmonary Vein Isolation". ABSTRACT <strong>Purpose: </strong>Previous studies indicate force time integral (FTI) as a radiofrequency (RF) lesion quality marker, while not considering power supply. Tacticath™ Quartz catheter provides Lesion index (LSI), a lesion quality marker derived by contact force (CF), power supply, and RF time combined. Our aim is to assess LSI and FTI correlation and a LSI-related cutoff of atrial fibrillation (AF) recurrences 12 months after pulmonary vein isolation (PVI). <strong>Methods: </strong>We retrospectively enrolled 37 patients who underwent RF ablation using Tacticath™ Quartz catheter. AF recurrence rate was evaluated 3, 6, and 12 months after PVI procedure. <strong>Results: </strong>AF recurrence was detected in 32% of patients. FTI mean value was significantly lower in left superior pulmonary vein (LSPV: 256 ± 86 gs vs 329 ± 117 gs, p = 0.05) and right inferior pulmonary vein (RIPV: 253 ± 128 gs vs 394 ± 123 gs p = 0.006) in patients with AF recurrences; no significant differences were found in right superior pulmonary vein (RSPV) and left inferior pulmonary vein (LIPV). LSI instead was significantly higher for all veins in patients without AF recurrences: LSPV (5.2 ± 0.7 vs 4.6 ± 0.8, p = 0.03), LIPV (5.0 ± 0.8 vs 4.5 ± 0.6, p = 0.04), RSPV (5.5 ± 0.6 vs 5.1 ± 0.6, p = 0.05), and RIPV (5.5 ± 0.7 vs 4.7 ± 0.8, p = 0.006). Receiver operator characteristic curve suggests 5.3 as LSI overall cutoff value predicting freedom from disease at 1-year follow-up. <strong>Conclusions: </strong>Our preliminary data suggest that a LSI mean value higher than 5.3 can be considered a good predictor of AF freedom at 1-year follow-up.
DOI: 10.5281/zenodo.3835777
title: Dataset related to the article "Lesion Index: A Novel Guide in the Path of Successful Pulmonary Vein Isolation"

description: This record contains raw data related to the article "Lesion Index: A Novel Guide in the Path of Successful Pulmonary Vein Isolation". ABSTRACT <strong>Purpose: </strong>Previous studies indicate force time integral (FTI) as a radiofrequency (RF) lesion quality marker, while not considering power supply. Tacticath™ Quartz catheter provides Lesion index (LSI), a lesion quality marker derived by contact force (CF), power supply, and RF time combined. Our aim is to assess LSI and FTI correlation and a LSI-related cutoff of atrial fibrillation (AF) recurrences 12 months after pulmonary vein isolation (PVI). <strong>Methods: </strong>We retrospectively enrolled 37 patients who underwent RF ablation using Tacticath™ Quartz catheter. AF recurrence rate was evaluated 3, 6, and 12 months after PVI procedure. <strong>Results: </strong>AF recurrence was detected in 32% of patients. FTI mean value was significantly lower in left superior pulmonary vein (LSPV: 256 ± 86 gs vs 329 ± 117 gs, p = 0.05) and right inferior pulmonary vein (RIPV: 253 ± 128 gs vs 394 ± 123 gs p = 0.006) in patients with AF recurrences; no significant differences were found in right superior pulmonary vein (RSPV) and left inferior pulmonary vein (LIPV). LSI instead was significantly higher for all veins in patients without AF recurrences: LSPV (5.2 ± 0.7 vs 4.6 ± 0.8, p = 0.03), LIPV (5.0 ± 0.8 vs 4.5 ± 0.6, p = 0.04), RSPV (5.5 ± 0.6 vs 5.1 ± 0.6, p = 0.05), and RIPV (5.5 ± 0.7 vs 4.7 ± 0.8, p = 0.006). Receiver operator characteristic curve suggests 5.3 as LSI overall cutoff value predicting freedom from disease at 1-year follow-up. <strong>Conclusions: </strong>Our preliminary data suggest that a LSI mean value higher than 5.3 can be considered a good predictor of AF freedom at 1-year follow-up.
DOI: 10.3886/e119550v1
title: Supplementary Data for "Household Search and the Marital Wage Premium"

description: Data extract from PSID used to create Appendix Figure H2
DOI: 10.17632/pbyv3pv63g.2
title: The structure of exported goods from Russia to China, January 2017-April 2018

description: Includes 9 main exported categories of product turnover from Russia to China.
DOI: 10.17632/tjvzs82xjt.2
title: The structure of imported goods from China to Russia, 2017-2018

description: Includes 9 main imported categories of product turnover from Russia to China.
DOI: 10.21227/hssg-z576
title: Coronavirus (COVID-19) Geo-tagged Tweets Dataset

description: This dataset contains the IDs of geo-tagged tweets. The tweets were captured by an on-going project deployed at https://live.rlamsal.com.np. The geolocation data was extracted from the tweets which mentioned anything about "corona", "covid-19", "coronavirus" or the variants of "sars-cov-2". Complying with Twitter's data sharing policy, only the tweet IDs are shared. You can re-construct the dataset by hydrating these IDs. The tweet IDs in this dataset belong to the tweets tweeted with an exact location that contained any of the previously mentioned keywords.Note: I started sharing the IDs of the tweets that contained the exact location information, only since April 28, 2020, with some genuine requests coming in from academic researchers who did not want to hydrate the whole lists of IDs (above 100+ million tweets) shared in the Coronavirus (COVID-19) Tweets Dataset.If you need the geolocation-based data starting March 20, 2020, then use the Coronavirus (COVID-19) Tweets Dataset and hydrate the IDs while adding the following condition:data = json.loads(data) if data["coordinates"]: longitude, latitude = data["coordinates"]["coordinates"]The data is available in two formats: CSV and JSON. I'll be sharing new files every day, and the files will be named period-wise. For example, april28-april29.* will contain tweet ID and sentiment data of the tweets that were tweeted between April 28, 2020, and April 29, 2020.
DOI: 10.3886/e119550
title: Supplementary Data for "Household Search and the Marital Wage Premium"

description: Data extract from PSID used to create Appendix Figure H2
DOI: 10.5281/zenodo.3835799
title: List of studies on Covid-19 identified in MedRxiv and excluded from our systematic review

description: In the course of our MedRxiv searches we identified and screened the title and abstract of a number of studies on Covid-19 that were finally excluded from our systematic review. This file will be updated regularly (once a week).
DOI: 10.17632/4fksxrn6c5.2
title: Data for Computational analysis of M-O covalency in M(OC6H5)4 (M = Ti, Zr, Hf, Ce, Th, U)

description: Computational data associated with paper entitled Computational analysis of M-O covalency in M(OC6H5)4 (M = Ti, Zr, Hf, Ce, Th, U)
DOI: 10.17632/crp8k3dgj5.1
title: Belief Updating in Euthymic Bipolar Disorder

description: Thirty-six bipolar patients completed the belief update task (Sharot et al., 2011) that estimates their ability to update beliefs in response to positive and negative information. The subsequent time in euthymia (i.e. free from any mood episode) has been recorded in months. We hypothesise that the learning pattern of bipolar patients and specifically their sensitivity to positive relative to negative information ("valence dependent learning") can predict the timing of their subsequent relapse.
DOI: 10.17632/prbsnp9hfc.1
title: The pattern of psychiatric interventions prescribed for children referred to a University psychiatric clinic in Egypt

description: Data on Psychiatric interventions for children in primary and secondary settings in Egypt