cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/km4932vhpf.1
title: The effects of CO2 pneumoperitoneum at different temperature and humidity on hemodynamic and respiratory parameters and postoperative pain for gynecologic laparoscopic surgery: A Prospective Randomized Study

description: Laparoscopy surgery has been associated with less postoperative pain, less systemic immunological depression, less wound infection, shorter hospital stays and earlier return to normal activities. However, the hemodynamic changes caused by pneumoperitoneum, patient's position and hypercarbia have always been a concern for surgeon and anesthesiologists. Hypercarbia and increased intraabdominal pressure affect cardiac output, central venous pressure, heart rate (HR), mean blood pressure (MBP) and systemic vascular resistance through various mechanisms in laparoscopic surgery. The hemodynamic effects of mild hypercarbia are less serious than the mechanical effects of increased intraperitoneal pressure, although moderate and severe hypercarbia lead to significant hemodynamic changes, both directly by the cardiovascular system and indirectly by the autonomic system. Its effects on the sympathetic nervous system cause increased blood pressure, heart rate and risk of arrhythmia. Especially, patients with cardiac or pulmonary diseases are at increased risk because of reduced cardiac output, increased central venous pressure, respiratory pressure and acidosis [1-4]. Standard carbon dioxide (CO2) is often preferred at room temperature (20–25°C) and dry (at 0-5% relative humidity) in laparoscopic surgery [5,6]. Recent years have witnessed devices that provide heat (35-37°C) and humidity (95-98%) to prevent postoperative pain and intraoperative hypothermia. However, the number of studies on the effects of heated CO2 on hemodynamic and respiratory parameters is limited [7-9], and these studies do not include humidified CO2. We aimed to test whether heated (37°C)-humidified (95%) CO2 would diffuse more easily into the blood from the abdomen and cause more hypercarbia compared to standard CO2 in cases with constant intraabdominal pressure and whether it would affect hemodynamic, given the vasodilation that could occur, and respiratory parameters. Although laparoscopy surgery is known to cause less systemic inflammation, some studies have reported that the use of standard CO2 during laparoscopy led to a higher local or systemic inflammatory response compared to heated-humidified CO2. This response has been stated to be particularly due to drying and damage in the peritoneum and has been associated with postoperative pain [4,5,10]. The second aim of this study was to examine simple indicators of inflammation, i.e., leukocyte and their subtype (neutrophil and lymphocyte counts) and neutrophil-lymphocyte ratios (NLRs) [11-14] in standard CO2 and heated-humidified CO2 and to evaluate their correlation with postoperative pain., and to evaluate their correlation with postoperative pain.
DOI: 10.17632/58bs5hctxr.3
title: Indian summer monsoon variability in northeastern India during the past two millennia
DOI: 10.17632/7dvdphd6nw.1
title: modified system

description: image processing
DOI: 10.17632/ww5dfy53cw.1
title: COVID-19 CNN MFCC classifier

description: High accuracy classification of COVID-19 coughs using Mel-frequency cepstral coefficients and a Convolutional Neural Network with a use case for smart home devices. Diagnosing COVID-19 early in domestic settings is possible through smart home devices that can classify audio input of coughs, and determine whether they are COVID-19. Research is currently sparse in this area and data is difficult to obtain. How- ever, a few small data collection projects have en- abled audio classification research into the application of different machine learning classification algorithms, including Logistic Regression (LR), Support Vector Machines (SVM), and Convolution Neural Networks (CNN). We show here that a CNN using audio converted to Mel-frequency cepstral coefficient spectrogram images as input can achieve high accuracy results; with classification of validation data scoring an accuracy of 97.5% cor- rect classification of covid and not covid labelled audio. The work here provides a proof of concept that high accuracy can be achieved with a small dataset, which can have a significant impact in this area. The results are highly encouraging and provide further opportunities for research by the academic community on this important topic. Preprint: https://www.researchgate.net/publication/343376336_High_accuracy_classification_of_COVID-19_coughs_using_Mel-frequency_cepstral_coefficients_and_a_Convolutional_Neural_Network_with_a_use_case_for_smart_home_devices
DOI: 10.17632/hsn6g3dbsk.2
title: Investigating Sentences Features for Subjectivity and Polarity Classification in Brazilian Portuguese

description: O dataset consiste de uma coleta que que os autores fizeram de 350 comentários de usuários sobre restaurantes no Brasil no site TripAdvisor[1], no período de janeiro a março de 2020. Os comentários foram divididos em 1.049 sentenças e cada sentença foi manualmente anotada pelos autores. Inicialmente, as sentenças foram classificadas em objetivas e subjetivas. Foi possível observar que existe um equilíbrio no número de sentenças em cada uma dessas classes. Em seguida, as sentenças subjetivas foram manualmente classificadas em positivas e negativas. As sentenças que eram subjetivas, mas com polaridade neutra, foram desconsideradas. Na prática, foi possível observar que existem poucas sentenças que são subjetivas e neutras. Também foi possível observar que há uma quantidade bastante superior de sentenças positivas do que sentenças negativas no dataset. [1] https://www.tripadvisor.com.br
DOI: 10.17632/s4fz2b3yt4.1
title: Renewable Energy Consumption and Sustainable Development in High-Income Countries

description: Data for: Renewable Energy Consumption and Sustainable Development in High-Income Countries
DOI: 10.6084/m9.figshare.12838106
title: R0187_20170926a_videos

description: Rat 0187, skilled reaching data collected on 9/26/2017 in Leventhal laboratory by Alexandra Bova
DOI: 10.17632/95vtmdjks3.1
title: Appendix A. Supplementary data

description: Data used in the paper
DOI: 10.6084/m9.figshare.12838106.v1
title: R0187_20170926a_videos

description: Rat 0187, skilled reaching data collected on 9/26/2017 in Leventhal laboratory by Alexandra Bova
DOI: 10.17632/mwfw6brj5n.1
title: Data for: Which States Most Effectively Discipline Attorneys? New Measures of State Corruption Within the United States

description: The American Bar Association’s annual Survey on Lawyer Discipline (SOLD) reports complaints and charges regarding lawyer misconduct, the caseload per disciplinary attorney, and each state’s budget for attorney discipline. From these reports, we develop five measures of attorney discipline: 1. COMPLAINTS – the percent of attorneys in the state who receive complaints from the public. 2. CHARGED – the percent of attorneys that are charged with some form of misconduct during the year; 3. CHARGED/ COMPLAINTS – the percent of the attorneys receiving COMPLAINTS that are eventually CHARGED with malpractice; 4. BUDGET (in dollars) – the state’s annual budget for implementing attorney discipline relative to the number of attorneys; and 5. CASELOAD – the number of AD cases per state disciplinary attorney per year. In our study "Attorney Discipline, the Quality of Legal Systems and Economic Growth within the United States" we use these measures to examine the quality of legal systems within the United States and the relation between this quality and state economic growth. The panel data set, included here, contains the values of the 5 attorney discipline measures for each state from 2000-2017. We use these data in our study.
DOI: 10.17632/kxghzjjnc4.3
title: A man-machine model

description: This database supports the paper titled as "A man-machine model: pattern recognition and forecasts for complex structures supervised by multi-model ensembles"
DOI: 10.17632/j8zsp7w7xs.2
title: Women and Property 1784-1790 dataset: North Riding Register of Deeds

description: Research hypothesis was to use the Registers of Deeds for the North Riding of Yorkshire (held at North Yorkshire County Record Office, Northallerton, England) to advance knowledge about women's involvement with property transfer and the wider property market in the 18th & 19th centuries. Registers began in 1736 and ceased in 1970; there are 89 Index Ledgers and 2,328 Deeds Registers. The system for recording data changed in 1885 so one Index Ledger was selected from pre/ post this date and 100 years apart to incorporate impact of Marriage Acts. Stage 1 - Two Index Ledgers were transcribed in full: 1) Index of Lands Vol 9 (1784-90) covers a seven-year period and contains 6,868 unique transactions (31,966 lines); and 2) Index of Lands 1885-1889 covers a five-year period and contains 14,481 unique transactions (52,741 lines). Each line represents a person's name. Core data from Index showed Township, unique reference and names of parties, but the 18th century Index Ledger did not show date of transaction or all parties. To analyse by gender this information was required so was added by using the Deeds Registers. Information from the individual Deeds Registers was then used to add to the core datasets: Stage 2 - The gender of all parties ('male', 'female' and 'not applicable' (for businesses) was added. Stage 3 - The usual residence, occupation (if any), marital status and any details of family relationships or inheritance rights of every women was added. Stage 4 - The 18th century dataset was then reduced to a five-year period covering 1785-1789 ONLY to provide a direct comparison with the 19th century dataset. Comparative analysis by: gender, marital status and number of transactions. (See different dataset). Each transaction has a unique reference number but can contain multiple parties and cover more than one township. To identify the true number of transactions, the data had to be controlled for these factors. A control for uniqueness was also required for those individuals and organisations involved in multiple transactions and to avoid assuming that everyone with the same name was actually the same person. Where women were involved, additional data e.g. marital status, residence or family relationships was used to differentiate between like women. 1784-1790 findings include: distinctive patterns of female property involvement by gender and marital status. Married women represent more than 52.19% of unique female transactions despite having little, if any, legal status (coverture). Although 3,033 women transacted during this period, only less than 5% did so without husband's involvement; this increased to 45.47% by 1885-1889 period, reinforcing that Married Women's Property Acts were beginning to make an impact, treating married women as if 'feme sole'. More parity of involvement across marital status groups in 1885-1889 data, with spinsters' involvement increasing the most (from 17.58% to 31.37%).
DOI: 10.17632/gzyzrjgj6m.2
title: Women and Property 1784-1790 (1785-1789) Register Data: North Riding Register of Deeds

description: Research hypothesis was to use the Registers of Deeds for the North Riding of Yorkshire (held at North Yorkshire County Record Office, Northallerton, England) to advance knowledge about women's involvement with property transfer and the wider property market in the 18th & 19th centuries. Registers began in 1736 and ceased in 1970; there are 89 Index Ledgers and 2,328 Deeds Registers. The system for recording data changed in 1885 so one Index Ledger was selected from pre/ post this date and 100 years apart to incorporate impact of Marriage Acts. Stage 1 - Two Index Ledgers were transcribed in full: 1) Index of Lands Vol 9 (1784-90) covers a seven-year period and contains 6,868 unique transactions (31,966 lines); and 2) Index of Lands 1885-1889 covers a five-year period and contains 14,481 unique transactions (52,741 lines). Each line represents a person's name. Core data from Index showed Township, unique reference and names of parties, but the 18th century Index Ledger did not show date of transaction or all parties. To analyse by gender this information was required so was added by using the Deeds Registers. **Several Deeds Registers were being used at any one time and covered a variety of time periods. This dataset sets out which Deeds Registers were applicable to 1784-1790 period and shows which entries were removed to make data suitable for 1785-1789 comparison with 19th century data. Provided in Excel and .csv formats.**
DOI: 10.17632/r9zpztx6yr.2
title: Women and Property 1784-1790 Female Wills: North Riding Register of Deeds

description: Research hypothesis was to use the Registers of Deeds for the North Riding of Yorkshire (held at North Yorkshire County Record Office, Northallerton, England) to advance knowledge about women's involvement with property transfer and the wider property market in the 18th & 19th centuries. Registers began in 1736 and ceased in 1970; there are 89 Index Ledgers and 2,328 Deeds Registers. The system for recording data changed in 1885 so one Index Ledger was selected from pre/ post this date and 100 years apart to incorporate impact of Marriage Acts. Stage 1 - Two Index Ledgers were transcribed in full: 1) Index of Lands Vol 9 (1784-90) covers a seven-year period and contains 6,868 unique transactions (31,966 lines); and 2) Index of Lands 1885-1889 covers a five-year period and contains 14,481 unique transactions (52,741 lines). Each line represents a person's name. Core data from Index showed Township, unique reference and names of parties, but the 18th century Index Ledger did not show date of transaction or all parties. To analyse by gender this information was required so was added by using the Deeds Registers. Information from the individual Deeds Registers was then used to add to the core datasets: Stage 2 - The gender of all parties ('male', 'female' and 'not applicable' (for businesses) was added. Stage 3 - The usual residence, occupation (if any), marital status and any details of family relationships or inheritance rights of every women was added. Stage 4 - The 18th century dataset was then reduced to a five-year period covering 1785-1789 ONLY to provide a direct comparison with the 19th century dataset. Comparative analysis by: gender, marital status and number of transactions. Each transaction has a unique reference number but can contain multiple parties and cover more than one township. To identify the true number of transactions, the data had to be controlled for these factors. A control for uniqueness was also required for those individuals and organisations involved in multiple transactions and to avoid assuming that everyone with the same name was actually the same person. Where women were involved, additional data e.g. marital status, residence or family relationships was used to differentiate between like women. **Any transaction in 1784-1790 dataset identified as being a FEMALE Will or Will & Codicil was manually extracted to a separate dataset - REPRESENTED HERE. These can be full copies, or memorials of the original as shortened by the Clerk at the Registry. In some cases, the Township is not given, but 'County of York & Elsewhere' given as place. This implies that the Executors knew that there was some land/ property but either unclear of exact location, or that there was multiple pieces of land across the County. Excel and .csv versions provided. Sorted by Unique Ref, but can be resorted by year, township, name or marital status as required.**
DOI: 10.17632/dfjzptvk32.2
title: Women and Property 1784-1790 Females Only by Marital Status: North Riding Register of Deeds

description: Research hypothesis was to use the Registers of Deeds for the North Riding of Yorkshire (held at North Yorkshire County Record Office, Northallerton, England) to advance knowledge about women's involvement with property transfer and the wider property market in the 18th & 19th centuries. Registers began in 1736 and ceased in 1970; there are 89 Index Ledgers and 2,328 Deeds Registers. The system for recording data changed in 1885 so one Index Ledger was selected from pre/ post this date and 100 years apart to incorporate impact of Marriage Acts. Stage 1 - Two Index Ledgers were transcribed in full: 1) Index of Lands Vol 9 (1784-90) covers a seven-year period and contains 6,868 unique transactions (31,966 lines); and 2) Index of Lands 1885-1889 covers a five-year period and contains 14,481 unique transactions (52,741 lines). Each line represents a person's name. Core data from Index showed Township, unique reference and names of parties, but the 18th century Index Ledger did not show date of transaction or all parties. To analyse by gender this information was required so was added by using the Deeds Registers. Information from the individual Deeds Registers was then used to add to the core datasets: Stage 2 - The gender of all parties ('male', 'female' and 'not applicable' (for businesses) was added. Stage 3 - The usual residence, occupation (if any), marital status and any details of family relationships or inheritance rights of every women was added. Stage 4 - The 18th century dataset was then reduced to a five-year period covering 1785-1789 ONLY to provide a direct comparison with the 19th century dataset. Comparative analysis by: gender, marital status and number of transactions. Each transaction has a unique reference number but can contain multiple parties and cover more than one township. To identify the true number of transactions, the data had to be controlled for these factors. **This dataset is the subset of 5,571 women named in the Index Ledger - sorted by Marital Status.**
DOI: 10.17632/4kwswz3pcc.2
title: Women and Property 1784-1790 Unique Females Only by Marital Status: North Riding Register of Deeds

description: Research hypothesis was to use the Registers of Deeds for the North Riding of Yorkshire (held at North Yorkshire County Record Office, Northallerton, England) to advance knowledge about women's involvement with property transfer and the wider property market in the 18th & 19th centuries. Registers began in 1736 and ceased in 1970; there are 89 Index Ledgers and 2,328 Deeds Registers. The system for recording data changed in 1885 so one Index Ledger was selected from pre/ post this date and 100 years apart to incorporate impact of Marriage Acts. Stage 1 - Two Index Ledgers were transcribed in full: 1) Index of Lands Vol 9 (1784-90) covers a seven-year period and contains 6,868 unique transactions (31,966 lines); and 2) Index of Lands 1885-1889 covers a five-year period and contains 14,481 unique transactions (52,741 lines). Each line represents a person's name. Core data from Index showed Township, unique reference and names of parties, but the 18th century Index Ledger did not show date of transaction or all parties. To analyse by gender this information was required so was added by using the Deeds Registers. Information from the individual Deeds Registers was then used to add to the core datasets: Stage 2 - The gender of all parties ('male', 'female' and 'not applicable' (for businesses) was added. Stage 3 - The usual residence, occupation (if any), marital status and any details of family relationships or inheritance rights of every women was added. Stage 4 - The 18th century dataset was then reduced to a five-year period covering 1785-1789 ONLY to provide a direct comparison with the 19th century dataset. Comparative analysis by: gender, marital status and number of transactions. Each transaction has a unique reference number but can contain multiple parties and cover more than one township. To identify the true number of transactions, the data had to be controlled for these factors. A control for uniqueness was also required for those individuals and organisations involved in multiple transactions and to avoid assuming that everyone with the same name was actually the same person. Where women were involved, additional data e.g. marital status, residence or family relationships was used to differentiate between like women. **This dataset is a subset of ALL named females after being controlled for uniqueness and represents 3,033 UNIQUE FEMALES, sorted by Marital Status, then alphabetically.**
DOI: 10.17632/4vgfdd6pjw.2
title: Women and Property 1784-1790 Overview Data: North Riding Register of Deeds

description: Research hypothesis was to use the Registers of Deeds for the North Riding of Yorkshire (held at North Yorkshire County Record Office, Northallerton, England) to advance knowledge about women's involvement with property transfer and the wider property market in the 18th & 19th centuries. Registers began in 1736 and ceased in 1970; there are 89 Index Ledgers and 2,328 Deeds Registers. The system for recording data changed in 1885 so one Index Ledger was selected from pre/ post this date and 100 years apart to incorporate impact of Marriage Acts. Stage 1 - Two Index Ledgers were transcribed in full: 1) Index of Lands Vol 9 (1784-90) covers a seven-year period and contains 6,868 unique transactions (31,966 lines); and 2) Index of Lands 1885-1889 covers a five-year period and contains 14,481 unique transactions (52,741 lines). Each line represents a person's name. Core data from Index showed Township, unique reference and names of parties, but the 18th century Index Ledger did not show date of transaction or all parties. To analyse by gender this information was required so was added by using the Deeds Registers. Information from the individual Deeds Registers was then used to add to the core datasets: Stage 2 - The gender of all parties ('male', 'female' and 'not applicable' (for businesses) was added. Stage 3 - The usual residence, occupation (if any), marital status and any details of family relationships or inheritance rights of every women was added. Stage 4 - The 18th century dataset was then reduced to a five-year period covering 1785-1789 ONLY to provide a direct comparison with the 19th century dataset. Comparative analysis by: gender, marital status and number of transactions. Each transaction has a unique reference number but can contain multiple parties and cover more than one township. To identify the true number of transactions, the data had to be controlled for these factors. A control for uniqueness was also required for those individuals and organisations involved in multiple transactions and to avoid assuming that everyone with the same name was actually the same person. Where women were involved, additional data e.g. marital status, residence or family relationships was used to differentiate between like women. **This is the analysis overview, showing statistics by gender (full dataset) and by unique people (full dataset). Then statistics for ALL FEMALES by marital status; and then UNIQUE FEMALES by marital status.**