cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/sx23zmtcxv.4
title: MAMA : MAternal Mood Assessment survey for healthcare professionals

description: The Maternal Mood Assessment (MAMA) is a thorough evaluation tool aimed at healthcare professionals for measuring their know-how, attitudes, and experiences about perinatal depression. The survey is broken down into different sections, each zeroing in on a specific aspect of the topic. The first part gathers basic info like age, gender, and career credentials of the healthcare workers, along with where and how long they've been practicing. Section two focuses on training and hands-on experience dealing with perinatal depression. This covers whether their workplace has a set care path for such cases, if they've had specialized training, and how often they've seen diagnosed mothers. The third section is about understanding and attitudes toward perinatal depression. It asks about definitions, perceived prevalence, risk factors, and best practices for a good relationship with affected mothers. The fourth section gets into the healthcare pros' own experiences and feelings when handling these cases. Questions look at their initial reactions, interactions with the family, and thoughts on effective support methods. The final part asks for opinions on various management aspects, like breastfeeding, dad's role, involvement of different healthcare roles, and the need for guidelines. Overall, the MAMA survey offers valuable insights into healthcare professionals' views and experiences, useful for shaping interventions and training.
DOI: 10.17632/pgy2k43kvd.1
title: Data: Can ChatGPT assist in picking stocks?

description: Data files contain ChatGPT ratings and earnings forecasts for "Can ChatGPT assist in picking stocks?"
DOI: 10.17632/fjzmjzmp6h.1
title: Dataset_CO_Rainfall

description: Dataset of average daily CO concentration and daily rainfall accumulation from January 1, 2018 to December 31, 2021. This dataset is grouped by day (weekend/weekday) and COVID-19 pandemic lockdown period (Yes/No). This dataset is obtained from the observation/recording of air quality sensors at the Cibeureum BMKG Air Pollution Post.
DOI: 10.17632/pfdbfpfygh.1
title: openpits asbestos  

description: Database includes images of open-pit places taken in the Bazhenovskoye field, Russia. All images are taken in the different weather and day conditions. All data are labeled for instance segmentation (as well as object detection) problems and have labeling in the COCO format. The archive contains both: all data in the images folder and annotation in the annotations folder. The labeling was performed manually in the CVAT software. The image size is 2592 × 2048.
DOI: 10.17632/pfdbfpfygh.2
title: openpits asbestos  

description: Database includes images of open-pit places taken in the Bazhenovskoye field, Russia. All images are taken in the different weather and day conditions. All data are labeled for instance segmentation (as well as object detection) problems and have labeling in the COCO format. The archive contains both: all data in the images folder and annotation in the annotations folder. The labeling was performed manually in the CVAT software. The image size is 2592 × 2048.
DOI: 10.17632/pfdbfpfygh.3
title: openpits asbestos

description: Database includes images of open-pit places taken in the Bazhenovskoye field, Russia. All images are taken in the different weather and day conditions. All data are labeled for instance segmentation (as well as object detection) problems and have labeling in the COCO format. The archive contains both: all data in the images folder and annotation in the annotations folder. The labeling was performed manually in the CVAT software. The image size is 2592 × 2048.
DOI: 10.17632/d7vn7tp3wr.1
title: THE IMPACT OF SYED MUJTABA ALI'S TRAVELS ON INTERNATIONALISM IN LITERATURE

description: Abastract: Naeem Mohaiemen, a Bangladeshi filmmaker and installation artist, was nominated for the Turner Prize in 2018 and exhibited at the Tate Britain gallery in London. He presented three works, including a feature film about a stranded traveler in Athens, a documentary about the Non-Aligned Movement during the 1970s, and a concertina book called "Volume Eleven (Flaw in the Algorithm of Cosmopolitanism). Mohaiemen referenced three essays written by Syed Mujtaba Ali, discussing Hitler and Germany. Ali's works and travels provide valuable insights into literary cosmopolitanisms and transnational alliances, particularly in the context of fascism and Cold War dynamics. His extensive collection of literary works showcases his remarkable productivity and high regard. Deshe Bideshe, published in 1949, is a Bengali travelogue that chronicles Mujtaba Ali's journey to Afghanistan from 1927 to 1929. The narrative explores the cultural and political history of Afghanistan and its connection to the Indian subcontinent, focusing on the three Anglo-Afghan wars fought by Britain. Ali's international perspective is closely connected to historical events, political dynamics, and the concept of nationhood. Mujtaba Ali's writings and reminiscences served as valuable resources for Bengali readers throughout the 1950s and beyond, expressing interwar cosmopolitanism and serving as platforms for political commentary and social critique. His writings present a distinct perspective on the world and India's position within it, highlighting the concept of 'Greater India' that captivated Orientalists. Mujtaba Ali critiques 'Greater India' intellectuals, highlighting the historical, political, and economic foundations of India's regional identity. His expertise in philology and literature made him well-suited to assume the role of a cultural envoy on behalf of a recently emancipated secular state, highlighting the need for fostering Asian and African solidarities as a means of countering both Eastern and Western power blocs.
DOI: 10.17632/z7h7mndnwc.2
title: Datasets and R Markdown files for the article "Effect size and inferential statistical techniques coupled with machine learning for assessing the association between prolactin concentration and metabolic homeostasis" submitted to Clinica Chimica Acta

description: - - - Datasets - - - The dataset (dataset_individual_results.xlsx) contains 65,795 anonymized laboratory results from tests of Prolactin (PRL), Glucose (GLU), Insulin (INS), Total Cholesterol (TC), HDL-c, LDL-c, and Triglycerides (TG) conducted on adult patients of both sexes in the first half of 2018. Additionally, another dataset (dataset_mean_results.xlsx) includes 106 average results obtained from stratifying the 65,795 results into 106 partitions based on prolactin concentration ranges. Within each partition, the average concentrations of prolactin and tests for glucose and lipid metabolism were computed.
DOI: 10.17632/z7h7mndnwc.3
title: Datasets and R Markdown files for the article "Effect size and inferential statistical techniques coupled with machine learning for assessing the association between prolactin concentration and metabolic homeostasis" submitted to Clinica Chimica Acta

description: - Datasets - - - - - - - - - - - - - - - - - - - - - - - The dataset (dataset_individual_results.xlsx) contains 65,795 anonymized laboratory results from tests of Prolactin (PRL), Glucose (GLU), Insulin (INS), Total Cholesterol (TC), HDL-c, LDL-c, and Triglycerides (TG) conducted on adult patients of both sexes in the first half of 2018. Additionally, another dataset (dataset_mean_results.xlsx) includes 106 average results obtained from stratifying the 65,795 results into 106 partitions based on prolactin concentration ranges. Within each partition, the average concentrations of prolactin and tests for glucose and lipid metabolism were computed.
DOI: 10.17632/z7h7mndnwc.4
title: Datasets and R Markdown files for the article "Effect size and inferential statistical techniques coupled with machine learning for assessing the association between prolactin concentration and metabolic homeostasis" submitted to Clinica Chimica Acta

description: - Datasets - - - - - - - - - - - - - - - - - - - - - - - The dataset (dataset_individual_results.xlsx) contains 65,795 anonymized laboratory results from tests of Prolactin (PRL), Glucose (GLU), Insulin (INS), Total Cholesterol (TC), HDL-c, LDL-c, and Triglycerides (TG) conducted on adult patients of both sexes in the first half of 2018. Additionally, another dataset (dataset_mean_results.xlsx) includes 106 average results obtained from stratifying the 65,795 results into 106 partitions based on prolactin concentration ranges. Within each partition, the average concentrations of prolactin and tests for glucose and lipid metabolism were computed.
DOI: 10.17632/z7h7mndnwc.5
title: Datasets and R Markdown files for the article "Effect size and inferential statistical techniques coupled with machine learning for assessing the association between prolactin concentration and metabolic homeostasis" submitted to Clinica Chimica Acta

description: - Datasets - - - - - - - - - - - - - - - - - - - - - - - The dataset (dataset_individual_results.xlsx) contains 65,795 anonymized laboratory results from tests of Prolactin (PRL), Glucose (GLU), Insulin (INS), Total Cholesterol (TC), HDL-c, LDL-c, and Triglycerides (TG) conducted on adult patients of both sexes in the first half of 2018. Additionally, another dataset (dataset_mean_results.xlsx) includes 106 average results obtained from stratifying the 65,795 results into 106 partitions based on prolactin concentration ranges. Within each partition, the average concentrations of prolactin and tests for glucose and lipid metabolism were computed.
DOI: 10.17632/z7h7mndnwc.1
title: Datasets and R Markdown files for the article "Effect size and inferential statistical techniques coupled with machine learning for assessing the association between prolactin concentration and metabolic homeostasis" submitted to Clinica Chimica Acta

description: - - - Datasets - - - The dataset (dataset_individual_results.xlsx) contains 65,795 anonymized laboratory results from tests of Prolactin (PRL), Glucose (GLU), Insulin (INS), Total Cholesterol (TC), HDL-c, LDL-c, and Triglycerides (TG) conducted on adult patients of both sexes in the first half of 2018. Additionally, another dataset (dataset_mean_results.xlsx) includes 106 average results obtained from stratifying the 65,795 results into 106 partitions based on prolactin concentration ranges. Within each partition, the average concentrations of prolactin and tests for glucose and lipid metabolism were computed.
DOI: 10.17632/4tnyzgwngw.1
title: Social influences in energy-related occupant behavior in shared office spaces

description: This dataset contains the survey responses for the questionnaire titled 'Energy -related behavior at the workplace'. The survey was used to measure 10 variables (Attitudes, Perceived Behavioral Control, Descriptive Norms, Injunctive Norms, Intention, Habits, Personal Norms, Awareness of Consequences, Social Connectedness, and Identity) using two or more question items. The raw data file contains the response scores for each of these vriables, while the main file contains the variable score, derived from the average of the item scores.
DOI: 10.17632/v896jzf9s5.1
title: Multi trait stability indexing and trait correlation from a dataset of sweet potato (Ipomoea batatas L.)

description: The dataset encompasses the performance of yield and yield-related attributes of different sweet potato varieties cultivated in Bangladesh. The data was acquired from a multi-locational trial that incorporated three replications in each location. In total, five distinct sweet potato varieties were utilized in the trial.
DOI: 10.17632/dkv6j6fw6c.1
title: Yarn Hairiness - Loop & Protruding Fibers Dataset

description: This repository presents the "Yarn Hairiness - Loop & Protruding Fibers" Dataset. The repository contains a single file that comprises an authentic dataset. For user convenience, it is available for download in various formats, including YOLOv8, YOLOv5, YOLOv7, MT-YOLOv6, COCO JSON, YOLO Darknet, Pascal VOC XML, TFRecord, CreateML JSON, and Other Formats. Ultimately, this dataset is available for download in zip format. Any publications utilizing the 'Yarn Hairiness - Loop & Protruding Fibers Dataset' must properly cite the following paper: Pereira, F.; Macedo, A.; Pinto, L.; Soares, F.; Vasconcelos, R.; Machado, J.; Carvalho, V. Intelligent Computer Vision System for Analysis and Characterization of Yarn Quality. Electronics 2023, 12, 236. https://doi.org/10.3390/electronics12010236"
DOI: 10.6084/m9.figshare.24645438
title: Data sheet for the global elliptical crater survey on Saturn's moon Mimas

description: Data sheet containing all mapped elliptical craters presented in the study by Ferguson et al., 2023 in Earth and Planetary Science Letters about Mimas.
DOI: 10.6084/m9.figshare.24645438.v1
title: Data sheet for the global elliptical crater survey on Saturn's moon Mimas

description: Data sheet containing all mapped elliptical craters presented in the study by Ferguson et al., 2023 in Earth and Planetary Science Letters about Mimas.
DOI: 10.17632/kfkdsw4wwj.1
title: FDM-extrusion-PLA-Viscoelasticity-partial data

description: Simulation data of steady and transient feed forces
DOI: 10.5281/zenodo.10070032
title: Structural and functional characterization of integrin α5β1-targeting antibodies for anti-angiogenic therapy

description: Molecular dynamics simulation trajectories for "Structural and functional characterization of integrin α5β1-targeting antibodies for anti-angiogenic therapy" by Nguyen et al. 2023
 
Hold for publication
DOI: 10.17632/tcsj29mr2h.1
title: The Crucial Role of Single-Stranded DNA Binding in Enhancing Sensitivity to DNA-Damaging Agents for Schlafen 11 and Schlafen 13

description: These data represent the original data to produce the Figures and supplemental items in the paper
DOI: 10.6073/pasta/33ba3432103297fe0644de6e0898f91f
title: Soil Respiration, Temperature and Moisture at Harvard Forest EMS Tower since 1995

description: We have been making long-term soil respiration measurements at our transect sites since the summer of 1995. The rainfall exclusion experiment began in May of 2001 and autochamber measurements began in 2003. A root exclusion experiment (trenching) was conducted from 2012-2014.
DOI: 10.6073/pasta/673330eb6a4e045fbc89d8e862b2c920
title: Radiation Measurements at Harvard Forest EMS Tower 1991-2007

description: Measurements of radiation and soil heat flux at the EMS tower on the Prospect Hill Tract, Harvard Forest, Petersham, Massachusetts. Values are hourly averages.
DOI: 10.6084/m9.figshare.23198322
title: A Bayesian Spatio-temporal Model to Optimize Allocation of Buprenorphine in North Carolina

description: The opioid epidemic is an ongoing public health crisis. In North Carolina, overdose deaths due to illicit opioid overdose have sharply increased over the last 5–7 years. Buprenorphine is a U.S. Food and Drug Administration approved medication for treatment of opioid use disorder and is obtained by prescription. Prior to January 2023, providers had to obtain a waiver and were limited in the number of patients that they could prescribe buprenorphine. Thus, identifying counties where increasing buprenorphine would yield the greatest overall reduction in overdose death can help policymakers target certain geographical regions to inform an effective public health response. We propose a Bayesian spatio-temporal model that relates yearly, county-level changes in illicit opioid overdose death rates to changes in buprenorphine prescriptions. We use our model to forecast the statewide count and rate of illicit opioid overdose deaths in future years, and we use nonlinear constrained optimization to identify the optimal buprenorphine increase in each county under a set of constraints on available resources. Our model estimates a negative relationship between death rate and increasing buprenorphine after accounting for other covariates, and our identified optimal single-year allocation strategy is estimated to reduce opioid overdose deaths by over 5%. Supplementary materials for this article are available online.
DOI: 10.6084/m9.figshare.23198322.v1
title: A Bayesian Spatio-temporal Model to Optimize Allocation of Buprenorphine in North Carolina

description: The opioid epidemic is an ongoing public health crisis. In North Carolina, overdose deaths due to illicit opioid overdose have sharply increased over the last 5–7 years. Buprenorphine is a U.S. Food and Drug Administration approved medication for treatment of opioid use disorder and is obtained by prescription. Prior to January 2023, providers had to obtain a waiver and were limited in the number of patients that they could prescribe buprenorphine. Thus, identifying counties where increasing buprenorphine would yield the greatest overall reduction in overdose death can help policymakers target certain geographical regions to inform an effective public health response. We propose a Bayesian spatio-temporal model that relates yearly, county-level changes in illicit opioid overdose death rates to changes in buprenorphine prescriptions. We use our model to forecast the statewide count and rate of illicit opioid overdose deaths in future years, and we use nonlinear constrained optimization to identify the optimal buprenorphine increase in each county under a set of constraints on available resources. Our model estimates a negative relationship between death rate and increasing buprenorphine after accounting for other covariates, and our identified optimal single-year allocation strategy is estimated to reduce opioid overdose deaths by over 5%. Supplementary materials for this article are available online.
DOI: 10.6084/m9.figshare.22264017
title: The Effect of COVID-19 Vaccinations on Self-Reported Depression and Anxiety During February 2021

description: Using the COVID-19 Trends and Impact Survey, we estimate the average effect of COVID-19 vaccinations on self-reported feelings of depression and anxiety, isolation, and worries about health among vaccine-accepting respondents in February 2021, and find 3.7, 3.3, and 4.3 percentage point reductions in the probability of each outcome, respectively, with particularly large reductions among respondents aged 18 and 24 years old. We show that interventions targeting social isolation account for 39.1% of the total effect of COVID-19 vaccinations on depression, while interventions targeting worries about health account for 8.3%. This suggests that social isolation is a stronger mediator of the effect of COVID-19 vaccinations on depression than worries about health. We caution that these causal interpretations rely on strong assumptions. Supplementary materials for this article are available online.
DOI: 10.6084/m9.figshare.22264017.v1
title: The effect of COVID-19 vaccinations on self-reported depression and anxiety during February 2021

description: Using the COVID-19 Trends and Impact Survey, we find that COVID-19 vaccinations reduced the prevalence of self-reported feelings of depression and anxiety, isolation, and worries about health among vaccine-accepting respondents in February 2021 by 3.7, 3.3, and 4.3 percentage points, respectively, with particularly large reductions among respondents aged 18 and 24 years old. We show that interventions targeting social isolation account for 39.1% of the total effect of COVID-19 vaccinations on depression, while interventions targeting worries about health account for 8.3%. This suggests that social isolation is a stronger mediator of the effect of COVID-19 vaccinations on depression than worries about health. We caution that these causal interpretations rely on strong assumptions.
DOI: 10.6084/m9.figshare.22264017.v2
title: The Effect of COVID-19 Vaccinations on Self-Reported Depression and Anxiety During February 2021

description: Using the COVID-19 Trends and Impact Survey, we estimate the average effect of COVID-19 vaccinations on self-reported feelings of depression and anxiety, isolation, and worries about health among vaccine-accepting respondents in February 2021, and find 3.7, 3.3, and 4.3 percentage point reductions in the probability of each outcome, respectively, with particularly large reductions among respondents aged 18 and 24 years old. We show that interventions targeting social isolation account for 39.1% of the total effect of COVID-19 vaccinations on depression, while interventions targeting worries about health account for 8.3%. This suggests that social isolation is a stronger mediator of the effect of COVID-19 vaccinations on depression than worries about health. We caution that these causal interpretations rely on strong assumptions. Supplementary materials for this article are available online.
DOI: 10.6084/m9.figshare.23101535.v2
title: Shining a Light on Forensic Black-Box Studies

description: Forensic science plays a critical role in the United States criminal legal system. For decades, many feature-based fields of forensic science, such as firearm and toolmark identification, developed outside the scientific community’s purview. The results of these studies are widely relied on by judges nationwide. However, this reliance is misplaced. Black-box studies to date suffer from inappropriate sampling methods and high rates of missingness. Current black-box studies ignore both problems in arriving at the error rate estimates presented to courts. We explore the impact of each type of limitation using available data from black-box studies and court materials. We show that black-box studies rely on unrepresentative samples of examiners. Using a case study of a popular ballistics study, we find evidence that these nonrepresentative samples may commit fewer errors than the wider population from which they came. We also find evidence that the missingness in black-box studies is non-ignorable. Using data from a recent latent print study, we show that ignoring this missingness likely results in systematic underestimates of error rates. Finally, we offer concrete steps to overcome these limitations. Supplementary materials for this article areavailable online.
DOI: 10.6073/pasta/92143fc1a5a68864dc2ef99152aa4300
title: Biomass Inventories at Harvard Forest EMS Tower since 1993

description: In 1993, we installed 40 circular, 10 m radius biometric plots in the footprint of the EMS tower on Prospect Hill. We randomly placed the plots within 100 m increments along ten 500 m transects that extend from the tower in the northwest and southwest directions. In 2001, we removed three plots (G3, H3, H4) from the datasets and ceased measurements there due to their inundation by a beaver pond. In 1999, we installed 6 additional circular, 10 m radius biometric plots on the Simes Lot, adjacent to Prospect Hill to study the effects of a selective harvest that occurred there in the winter of 2000-01. In the summer of 2001, we expanded the harvested plots in size to 15 m radius and ceased measurements at one plot (X4) because it was unaffected by the harvest. The harvest also affected three of the original tower plots (A4, A5, B5), which were expanded in size as a part of the harvest plot group. Consequently, there are 34 tower plots and 8 harvest plots. We have taken the following ecological measurements at each site: tree growth, woody debris, litter, leaf area increment (LAI), leaf chemistry, and soil respiration and moisture.