cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/dfsp6f5448.1
title: The Correlates of Democratic Backslides

description: I merged ten databases grouping them by country and year standardizing the country names using the “countrycode” package, and manually re-coding deviating country names. The two core datasets are produced by the Varieties of Democracy (V-Dem) project: the main V-Dem v14 dataset and the Episodes of Regime Transformation (ERT) dataset. Third, the data on inequality comes from the World Inequality Database (WID). Compared to the others, this indicator has the lowest percentage of missing values compared to other known data and has the data for the earliest years. Nevertheless, even in this case most of the data was only present from the year 1985, which forbade me to compare post-WWII and post-Cold-War cases of democratic backsliding. The 26 percent of missing observations were filled with values predicted via bootstrapping accounting for the cross-sectional nature of data using the “Amelia” package in R based on several dozens of other socioeconomic indicators from the V-Dem Background Factors block. Fourth, I added the ParlGov dataset that approximates the ideological polarization between political parties in elections on the right-left scale. In that case, the database is limited to the most developed stable democracies and only has data for the election years. At the same time, its only direct competitor, Manifesto, has even more missing data. To access the data on societal affective polarization I used the dataset initially developed by Reiljan and later updated by Orhan that aggregates the existing survey data. Due to its origins, it is limited to 159 observations, two to three per country, which is devastating for the multilevel models.
I combined the volatility indexes from five different regional datasets: one focused on the entire world with a particular focus on Latin America offered by Mainwaring and colleagues, Chiaramonte and Emanuele for Western Europe, Bertoa and Enyedi for geographic Europe, and Bogaards for Africa. In cases of overlaps between the datasets, the preference was given in the order they are mentioned. If the elections were regular, I carried volatility scores forward until the next elections. Table A3 on the data availability and the heatmap (Figure A1) are present in the online appendix. Even though the entrance of new parties into the playing field (known as extra-system volatility or type-B volatility) is theoretically more appealing than the overall volatility, these studies use different thresholds of what is considered to be the “system”. For instance, it varies from 2% for Mainwaring and Zoco and 1% for Chiaramonte and Emanuele.
DOI: 10.17632/dfsp6f5448.2
title: The Correlates of Democratic Backslides

description: I merged 11 databases grouping them by country and year standardizing the country names using the “countrycode” package, and manually re-coding deviating country names. The two core datasets are produced by the Varieties of Democracy (V-Dem) project: the main V-Dem v14 dataset and the Episodes of Regime Transformation (ERT) dataset. Third, the data on inequality comes from the World Inequality Database (WID), and the data on unemployment comes from the International Labour Organization (ILO). Compared to the others, this indicator has the lowest percentage of missing values compared to other known data and has the data for the earliest years. Nevertheless, even in this case most of the data was only present from the year 1985, which forbade me to compare post-WWII and post-Cold-War cases of democratic backsliding. The 26 percent of missing observations were filled with values predicted via bootstrapping accounting for the cross-sectional nature of data using the “Amelia” package in R based on several dozens of other socioeconomic indicators from the V-Dem Background Factors block. Fourth, I added the ParlGov dataset that approximates the ideological polarization between political parties in elections on the right-left scale. In that case, the database is limited to the most developed stable democracies and only has data for the election years. At the same time, its only direct competitor, Manifesto, has even more missing data. To access the data on societal affective polarization I used the dataset initially developed by Reiljan and later updated by Orhan that aggregates the existing survey data. Due to its origins, it is limited to 159 observations, two to three per country, which is devastating for the multilevel models.
I combined the volatility indexes from five different regional datasets: one focused on the entire world with a particular focus on Latin America offered by Mainwaring and colleagues, Chiaramonte and Emanuele for Western Europe, Bertoa and Enyedi for geographic Europe, and Bogaards for Africa. In cases of overlaps between the datasets, the preference was given in the order they are mentioned. If the elections were regular, I carried volatility scores forward until the next elections. Table A3 on the data availability and the heatmap (Figure A1) are present in the online appendix. Even though the entrance of new parties into the playing field (known as extra-system volatility or type-B volatility) is theoretically more appealing than the overall volatility, these studies use different thresholds of what is considered to be the “system”. For instance, it varies from 2% for Mainwaring and Zoco and 1% for Chiaramonte and Emanuele.
DOI: 10.5281/zenodo.10925193
title: Dataset of "Switching response and ionic hysteresis in organic electrochemical transistors"

description: This dataset underpins the following article published in the Advanced Materials:

"Switching response and ionic hysteresis in organic electrochemical transistors"

 

Raw and processed data for the article "Switching response and ionic hysteresis in organic electrochemical transistors". For further details see the readme.txt file.
DOI: 10.5281/zenodo.10929061
title: Dataset of "Switching response and ionic hysteresis in organic electrochemical transistors"

description: This dataset underpins the following article published in the Advanced Materials:

"Switching response and ionic hysteresis in organic electrochemical transistors"

 

Raw and processed data for the article "Switching response and ionic hysteresis in organic electrochemical transistors". For further details see the readme.txt file.
DOI: 10.17632/26j6bh8bmz.1
title: Endogenous Human Capital and Market Structure in a Monetary Schumpeterian Model

description: The replication files are used to replicate the empirical and quantitative results in the paper "Endogenous Human Capital and Market Structure in a Monetary Schumpeterian Model".
DOI: 10.17632/99f52zcw5n.1
title: Data：The Impact of Local Fintech Development on Corporate Debt Maturity Structure

description: We provide the data used in this literature and the STATA execution code.
DOI: 10.17632/99f52zcw5n.2
title: Data：The Impact of Local Fintech Development on Corporate Debt Maturity Structure

description: We provide the data used in this literature and the STATA execution code.
DOI: 10.6084/m9.figshare.27003304
title: Isw1 ChIP-seq

description: Isw1 ChIP-seq data
DOI: 10.6084/m9.figshare.27003304.v1
title: Isw1 ChIP-seq

description: Isw1 ChIP-seq data
DOI: 10.17632/fmzzcvff5k.1
title: Making Tax Smart: Feasibility of Distributed Ledger Technol-ogy for building tax compliance functionality to Central Bank Digital Currency

description: Scalability study results
DOI: 10.17632/kzcrwggp75.1
title: Bitcoin OHLCV: Open, High, Low, and Close prices along with Volume of Bitcoin trades

description: OHLCV is an abbreviation for the five critical data points: Open, High, Low, Close, and Volume. It refers to the key points in analyzing an asset such as Bitcoin (BTC) in the market over a specified time. The dataset is important for not only traders and analysts but also for data scientists who work on BTC market prediction using artificial intelligence. The 'Open' and 'Close' prices represent the starting and ending price levels, while the 'High' and 'Low' are the highest and lowest prices during that period (a daily time frame (24h)). The 'Volume' is a measure of the total number of trades. This dataset provides five OHLCV data columns for BTC along with a column called "Next day close price" for regression problems and machine learning applications. The dataset includes daily information from 1/1/2012 to 8/6/2022.
DOI: 10.17632/npfp6p3wwj.1
title: Juggling_y1

description: raw data for "A Bayesian Model for Motor Learning of Juggling" The readers can feel free to contact Mu Qiao (mqiao@latech.edu) for more information.
DOI: 10.6084/m9.figshare.27003323
title: Genetic diversity, variation and recombination among the human papillomaviruses (HPVs) genomes isolated in China: a comparative genomic and phylogenetic analysis

description: Human papillomaviruses (HPVs) are widespread, sexually transmitted group of viruses that infect most individuals at some stage, causing genital warts and cancers. They are members of the <i>Papillomaviridae</i> family, which contains about 400 HPV types. China is among the high HPV burden countries with reported infections of multiple HPV types, accounting for 17.3% of global deaths and 18.2% of global new cases. Thus, understanding the genetic variation and geographic diversity characteristics of HPVs isolated in China is critical for global HPV prevention strategies. Thus, we analyzed the available HPV genome sequences isolated in China that grouped into two categories (alpha- and gamma-papillomaviruses) based on full-length genomes. The most common were HPV-16, −6, −58, and −52 respectively. In addition, four of the novel strains isolated in China, e.g. TG550, JDFY01, CH2, and L55 clustered with the HPV-mSK 159, 244, 201, and 200 respectively. Our phylogeographic network analysis indicated that the L55, TG550, and CH2 are genetically identical to the mSK 200, 046, and 201 respectively, while JDFY01 appeared separately, connected to the mSK-040 following five mutational steps. Also, we found ten recombination events among HPV-6/11 types within their E1, E2, E7, L1/L2 proteins, and Long Control Region ORFs. We achieved the consensus amino acid sequences of HPV proteins and found a conserved stretch of amino acids within E5A of all HPVs circulating in China. These findings offer valued insights into the genetic relationships, distribution, and evolution of the HPVs in China that may assist in adapting effective HPV preventive measures.
DOI: 10.6084/m9.figshare.27003323.v1
title: Genetic diversity, variation and recombination among the human papillomaviruses (HPVs) genomes isolated in China: a comparative genomic and phylogenetic analysis

description: Human papillomaviruses (HPVs) are widespread, sexually transmitted group of viruses that infect most individuals at some stage, causing genital warts and cancers. They are members of the <i>Papillomaviridae</i> family, which contains about 400 HPV types. China is among the high HPV burden countries with reported infections of multiple HPV types, accounting for 17.3% of global deaths and 18.2% of global new cases. Thus, understanding the genetic variation and geographic diversity characteristics of HPVs isolated in China is critical for global HPV prevention strategies. Thus, we analyzed the available HPV genome sequences isolated in China that grouped into two categories (alpha- and gamma-papillomaviruses) based on full-length genomes. The most common were HPV-16, −6, −58, and −52 respectively. In addition, four of the novel strains isolated in China, e.g. TG550, JDFY01, CH2, and L55 clustered with the HPV-mSK 159, 244, 201, and 200 respectively. Our phylogeographic network analysis indicated that the L55, TG550, and CH2 are genetically identical to the mSK 200, 046, and 201 respectively, while JDFY01 appeared separately, connected to the mSK-040 following five mutational steps. Also, we found ten recombination events among HPV-6/11 types within their E1, E2, E7, L1/L2 proteins, and Long Control Region ORFs. We achieved the consensus amino acid sequences of HPV proteins and found a conserved stretch of amino acids within E5A of all HPVs circulating in China. These findings offer valued insights into the genetic relationships, distribution, and evolution of the HPVs in China that may assist in adapting effective HPV preventive measures.
DOI: 10.17632/88wrh4r438.1
title: Impact of tropical cyclone on groundwater response

description: Physico-chemical impact of extreme climatic events on coastal groundwater is not well-studied. We delineate the impact of recent (2017-2020) tropical atmospheric depressions (AD) and cyclones (TC) on shallow (SW, 15 and 24 meter below ground level (m bgl)) and deeper (DW, 115 m bgl) groundwater level (GWL) in one of world’s most EC-affected region at the Ganges river delta-front. Multi-depth piezometry and hydrogeochemical profiling suggest that GWL have responded to each of the studied EC events, with highest GWL rise during the Cyclone Bulbul (November 2019). The instantaneous depth-dependent groundwater response, even in highly heterogeneous and low hydraulically connective delta front aquifers, suggests the potential vulnerability of drinking water quality deterioration during EC events, especially in the present trend of increasing frequency of intense cyclones.

The study was conducted in coastal aquifers of the Ganges river delta front in the Sundarbans, South 24 Parganas, West Bengal, India. The studied area is about 16 Km2, lies within 21°33’22.87” N and 88°14’43.47” E to 21°35’54.64” N and to 88°17’13.98” E. The River Bhagirathi-Hooghly passes through the west and the extreme southern part of the area extends till the Bay of Bengal (BoB).
Absolute groundwater and atmospheric pressure were recorded at half-hourly intervals for three consecutive years (2017 to 2019) using water level sensors (Solinistlevelogger 3001) for SW and DW wells (accuracy of ± 0.05% Full Scale) and by barologger with an accuracy of ± 0.05 kPa. Two closely placed observation wells are screened at depth of 15 (SW15) and 115 (DW115) m bgl, and other two shallow observation wells for monitoring of GWL are placed at a depth of 14 (SW14) and 24 m (SW24). The piezometers were suspended approximately 5 to 10 m below the static water level, whereas a barometric logger was installed in the air-filled section of a shallow well with the same data recording interval. Wells are located differently from nearshore (SW14 and SW24) and 3.5 km inland (SW15 and DW115) from the shoreline (Figure 1b). The SW15 and DW115 have recorded data from May, 2017 to December 2019, SW14 and SW24 have recorded data from May, 2017 to January, 2018.
Wells were installed by rotary drilling and permanent casing is made by PVC pipes, and temporary casing was made by bentonite during drilling process. Observation wells were flushed after installation for 8 hours in one-hour interval. To find out the correlation and for model establishment, a six-hour interval of GWL data is used at 0, 6, 12 and 18 hours for selected cyclonic periods as geopotential height (GPH) was available only at the same time interval.
Atmospheric model data for geopotential height (GPH) was obtained from the European Centre for Medium-Range Weather Forecasts (ECMWF) with a grid size of 0.25° × 0.25° at pressure level of 500 hPa.
DOI: 10.6084/m9.figshare.26341579
title: Enhancing routing and quality of service using AI-driven technique for internet of vehicles contexts

description: This paper introduces an Enhancing Routing and Quality of Service (QoS) Using AI-driven Technique for Internet of Vehicles (IoV) Contexts. The proposed approach aims to enhance QoS and overall network performance in connected vehicle networks. Vehicles utilize Road-Side Units and the Internet to aggregate data from neighboring vehicles, optimizing routing and data management. The proposed approach utilizes a graph traversal algorithm, a widely adopted technique in Artificial Intelligence for graph search, which facilitates traversal in routing. The proposed approach integrates a mobility score based on metrics such as velocity, acceleration, and neighboring information, ensuring optimal routing for dynamic vehicular networks. Objectives include improving QoS and network performance by reducing overheads, optimizing load balancing, and extending network lifetime. Implemented in NS-3 and MOVE simulators, results demonstrate significant performance enhancements compared to existing approaches. This approach addresses the challenges of extensive vehicle mobility and frequent topology changes in connected environments. Overall, the paper presents a comprehensive solution for IoV networks, combining AI-driven routing with mobility-aware strategies to advance network efficiency and QoS.
DOI: 10.6084/m9.figshare.26341579.v1
title: Enhancing routing and quality of service using AI-driven technique for internet of vehicles contexts

description: This paper introduces an Enhancing Routing and Quality of Service (QoS) Using AI-driven Technique for Internet of Vehicles (IoV) Contexts. The proposed approach aims to enhance QoS and overall network performance in connected vehicle networks. Vehicles utilize Road-Side Units and the Internet to aggregate data from neighboring vehicles, optimizing routing and data management. The proposed approach utilizes a graph traversal algorithm, a widely adopted technique in Artificial Intelligence for graph search, which facilitates traversal in routing. The proposed approach integrates a mobility score based on metrics such as velocity, acceleration, and neighboring information, ensuring optimal routing for dynamic vehicular networks. Objectives include improving QoS and network performance by reducing overheads, optimizing load balancing, and extending network lifetime. Implemented in NS-3 and MOVE simulators, results demonstrate significant performance enhancements compared to existing approaches. This approach addresses the challenges of extensive vehicle mobility and frequent topology changes in connected environments. Overall, the paper presents a comprehensive solution for IoV networks, combining AI-driven routing with mobility-aware strategies to advance network efficiency and QoS.
DOI: 10.17632/w6brsyfbm3.1
title: Ichimoku cloud extended signals

description: The Ichimoku Cloud comprises a set of technical indicators designed to illustrate support and resistance levels, along with trend direction and market momentum. This is actually can be achieved by calculating various averages. It utilizes these calculations to create a "cloud" that aims to predict potential future support or resistance levels for the price. Then, the cloud displays them on a chart. Ichimoku cloud's basic signals including the Conversion Line, Base Line, Leading Span A, Leading Span B, and the Lagging Span, provides an insightful depiction of market trends, as well as support and resistance areas and potential turning points. 
We created our own dataset found on novel perspective of Ichimoku signals with proposing fifty novel features (extended signals) extracted of these two categories. In addition, the dataset includes two outputs (predictions) named "next day candlestick price" and "next day candlestick color" for regression and classification problems, respectively. It aims to allow machine learning models to explore complex patterns by extracting new extended signals, and adapting effectively to Bitcoin (BTC) price fluctuations that can lead to a model with higher accuracy. In the end, it is worthy to mention that the dataset includes Bitcoin daily information from 1/1/2012 to 8/6/2022.
DOI: 10.17632/t5kfbbxrs9.1
title: Analysis of complications associated with peripherally inserted central venous catheters.

description: Data-base. Analysis of complications associated with peripherally inserted central venous catheters.
DOI: 10.15468/dl.xpsn8j
title: Occurrence Download

description: A dataset containing 6834 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Corythucha ciliata (Say, 1832)"
 ]
}

 The dataset includes 6834 records from 231 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013094-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.egc6y4
title: Occurrence Download

description: A dataset containing 672 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "Geometry POLYGON((8.59893 45.72726,8.61163 45.72785,8.61052 45.73228,8.6108 45.73837,8.6108 45.74944,8.60692 45.7605,8.59668 45.76853,8.58866 45.77489,8.57489 45.78036,8.58042 45.78728,8.58845 45.78949,8.60288 45.79301,8.61 45.79976,8.61415 45.80557,8.62218 45.81193,8.62965 45.81885,8.63435 45.82854,8.63407 45.83877,8.63075 45.84791,8.62633 45.85455,8.62052 45.85593,8.60862 45.8551,8.60696 45.85067,8.60419 45.84569,8.6017 45.83822,8.60281 45.8313,8.60225 45.82466,8.59921 45.82106,8.58731 45.82051,8.58233 45.81691,8.57486 45.81193,8.56711 45.80667,8.56157 45.80031,8.56074 45.79284,8.55936 45.78537,8.55936 45.78011,8.56157 45.77568,8.56434 45.76821,8.57264 45.76074,8.57845 45.75465,8.58177 45.74912,8.58786 45.74275,8.5898 45.73473,8.59893 45.72726))",
 "TaxonKey is Animalia"
 ]
}

 The dataset includes 672 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013095-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.csy97y
title: Occurrence Download

description: A dataset containing 2217 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Securidaca longepedunculata Fresen."
 ]
}

 The dataset includes 2217 records from 93 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013096-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/examiner-c44-38278
title: Explosion in Santa Monica, 1952

description: 3 images. Explosion in Santa Monica, 24 January 1952. Clay Pigeon Laboratory and Plant at 1808 Stanford Court. (Sleeve reads: A9456).
DOI: 10.25549/examiner-c44-57401
title: Stompanato murder, 1958

description: 4 images. Stompanato murder, 06 April 1958. Carmine Stompanato; Ellis Mendal (Cohen's chauffeur); Max Tannenbaum.; Caption slip reads: "Photographer: Rustan. Date: 1958-04-06. Reporter: Thackrey. Assignment: Carmine Stompanato. 79/80/31/32: Carmine Stompanato, elder brother of John Stompanato, deceased, is the tall man in black. The small man in black is Ellis Mendel who is Cohen's chauffeur. The small man in the light suit is Max Tannenbaum".
DOI: 10.25549/examiner-c44-4874
title: Hollywood Park Races, 1951

description: 12 images. Hollywood Park Races, May 11, 1951. Opening Day; "Special Touch" wins premier handicap.
DOI: 10.25549/examiner-c44-3526
title: Will contest, 1951

description: 2 images. Will contest, June 5, 1951. Mrs. Nora Willett.
DOI: 10.25549/examiner-c44-4803
title: Tennis and Crumpet Club, 1951

description: 10 images. Tennis and Crumpet Club, May 1, 1951. Sports; Mrs. John De Mille; Mrs. O. E. McCartney; Mrs. A. Fletcher Hall; Mrs. Maurice Machris; Mrs. John McNabb; Mrs. Maurice De Packh; Mrs. John Brandeis.; More descriptive information with originals.
DOI: 10.25549/examiner-c44-4088
title: Fire destroys warehouse of Compton Wholesale Grocery Company, 1951

description: 12 images. Fire destroys warehouse of Compton Wholesale Grocery Company, June 6, 1951. General views of fire; Charles Cross -- postman; Ed Brownlie -- fireman.; More descriptive information with originals.
DOI: 10.25549/examiner-c44-4417
title: Examiner cartoons (dont's for school children), 1951

description: 5 images. Examiner cartoons (dont's for school children), May 25, 1951.
DOI: 10.25549/examiner-c44-57184
title: Shots of freeways for annual review, 1955

description: 34 images. Shots of freeways for annual review, 18 July 1955. Buildings, etc.