cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7910/dvn/ubj3vq
title: AICCRA 2022 Survey Results - final data

description: Accelerating Impacts of CGIAR Climate Research for Africa (AICCRA) is a USD 60 million three-year project, funded by the World Bank and being led by CIAT, with participating partners from six countries: Ethiopia, Kenya, Zambia, Ghana, Mali and Senegal. This report provides an overview of the Satisfaction Survey that was disseminated to partners to gather their feedback on three of the intermediate Project Indicators (IPI), as laid out in the Project Implementation Arrangements. These indicators capture progress on (1 - IPI 1.3) the satisfaction with the usefulness, accessibility and relevance, particularly for gender and youth responsiveness, (2 - IPI 2.4) effectiveness of partnerships and (3 - IPI 3.3) the use or adaptation of AICCRA-funded climate-relevant knowledge products, decision-making tools and services. The survey was open from 8 December 2022 to 11 January 2023 Cluster leads provided the products/services to survey for their cluster, and they sent the survey to their partners totalling 451 recipients. There were 312 responses from 309 unique individuals, which was a 69% response rate. Three individuals reported on two separate Clusters. All second year targets were achieved. Satisfaction with the products and services of the project (IPI 1.3) attained an average of 82%, 2% higher than the 2021 average of 80% and 5% higher than the target of 75%. Effectiveness of partnerships (IPI 2.4) surpassed the target of 75% and achieved an average score of 85% for all criteria including Vision, Leadership, Accountability, Communications & Collaboration and Impact, which matches the 2021 result. Through an elaborative capacity development program, IPI 3.3 - which looked precisely at how many respondents have used the products - scored an average of 73% confirmed use (233 identified use cases); well above the 12.5% target for year two. Continuous feedback on the survey design and results are also being compiled and will help improve the process for next year.
DOI: 10.7910/dvn/o5cqfa
title: Replication Data for: A cross-session motor imagery EEG dataset

description: # Pan2023 Dataset Documentation
# This is a replication of the "A cross-session motor imagery EEG dataset" dataset, the .mat file version is v7.0.

## Abstract
The Pan2023 dataset is a collection of electroencephalography (EEG) signals from 14 subjects performing motor imagery (MI) tasks across two sessions. The dataset aims to facilitate the study of cross-session variability in MI-EEG signals and to support the development of robust brain-computer interface (BCI) systems.

## Dataset Composition
The dataset encompasses EEG recordings from 14 subjects, each participating in two sessions. The sessions involve MI tasks with visual cues for left-handed and right-handed movements. Data acquisition was performed using a Neuroscan SynAmps2 amplifier, equipped with 28 scalp electrodes following the international 10-20 system. The EEG signals were sampled at a frequency of 250Hz, with a band-pass filter applied from 0.01 to 200Hz to mitigate power line noise. The collected data is stored in Matlab format, labeled by subject and session number.

## Participants
The participant cohort includes 14 individuals (five females), aged 22 to 25, with two reporting left-handedness. All subjects were screened for neurological and movement disorders, ensuring a healthy participant profile for the study.

## Experimental Paradigm
Each experimental session comprised 120 trials, segmented into three distinct phases: Rest, Preparation, and Task. During the Rest Period (2 seconds), subjects were instructed to remain relaxed without engaging in mental tasks. The Preparation Period (1 second) involved a 'Ready' cue on the monitor, prompting subjects to focus and prepare for the upcoming MI task. The Task Period (4 seconds) required subjects to perform the MI task, visualizing the movement corresponding to the provided cues, either left or right-handed. This paradigm was designed to occur in a controlled, distraction-free environment.

## Data Acquisition and Preprocessing
EEG signals were captured using a Neuroscan SynAmps2 amplifier and 28 scalp electrodes positioned per the 10-20 system. The sampling rate was set at 1000Hz, and a band-pass filter from 0.01 to 200Hz and a notch filter at 50Hz were employed to exclude power line interference. The signals were downsampled to 250Hz and archived in Matlab format, systematically named by subject and session identifiers.

## Data Structure
The dataset's structure is encapsulated in a Matlab file, comprising a struct with the following components:
- `data`: A 3D matrix (`[n_trials, n_channels, n_samples]`) containing the EEG signals.
- `label`: A vector (`[n_trials]`) denoting each trial's label (1 for left-handed, 2 for right-handed movement).
- `trial_info`: A struct detailing each trial's phase (1 for Rest, 2 for Preparation, 3 for Task), the visual cue (1 for left-handed, 2 for right-handed movement), and the subject's identifier.
description: You can conveniently download online datasets locally using the following python functions.
DOI: 10.7910/dvn/8pthxt
title: LPCode: Legislative Progression in the American States

description: This dataset puts the universe of state legislation available from the legacy OpenStates project into a common space, to measure each step that each bill took on its way to passage (or where it failed). It includes a 23 step progression, and reports which step each bill hit on its way to eventual success or failure.
description: See readme. This will soon be interoperable with other datasets in the AJO project on state legislative policy types and interest group populations.

v0.1 is the initial public dataset.
DOI: 10.7910/dvn/thpnzw
title: URANOS v1.0

description: The understanding of neutron transport by Monte-Carlo simulations led to major advancements towards precise interpretation of measurements. URANOS (Ultra Rapid Neutron-Only Simulation) is a free software package, which has been developed in the last years in a cooperation of Particle Physics and Environmental Sciences, specifically for the purposes of cosmic-ray neutron sensing (CRNS). Its versatile user interface and input/output scheme tailored for CRNS applications offers hydrologists a straightforward access to model individual scenarios and to directly perform advanced neutron transport calculations. The geometry can be modeled layerwise, whereas in each layer a voxel geometry is extruded using a two-dimensional map from pixel images representing predefined materials and allowing to construct objects on the basis of pixel graphics without a 3D editor. It furthermore features predefined cosmic-ray neutron spectra and detector configurations and allows also a replication of important site characteristics of study areas – from a small pond to the catchment scale. The simulation thereby gives precise answers to questions like: From which location do neutrons originate? How do they propagate to the sensor? What is the neutron response to certain environmental changes? In recent years, URANOS has been successfully employed by a number of studies, for example, to calculate the cosmic-ray neutron footprint, signals in complex geometries like mobile applications on roads, urban environments and snow patterns.
description: URANOS source files for v1.0
DOI: 10.7910/dvn/txcyje
title: A00_13787b.jpg

description: Link to OCHRE database: &lt;a href = 'http://pi.lib.uchicago.edu/1001/org/ochre/8f1de0d7-40e4-4af2-b4ad-00623ab2e958'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/8f1de0d7-40e4-4af2-b4ad-00623ab2e958
DOI: 10.7910/dvn/uajme4
title: Replication Data for: How Should We Estimate Inverse Probability Weights with Possibly Misspecified Propensity Score Models?

description: Inverse probability weighting is a common remedy for missing data issues, notably in causal inference. Despite its prevalence, practical application is prone to bias from propensity score model misspecification. Recently proposed methods try to rectify this by balancing some moments of covariates between the target and weighted groups. Yet, bias persists without knowledge of the true outcome model. Drawing inspiration from the quasi maximum likelihood estimation with misspecified statistical models, I propose an estimation method minimizing a distance between true and estimated weights with possibly misspecified models. This novel approach mitigates bias and controls mean squared error by minimizing their upper bounds. As an empirical application, it gives new insights into the study of foreign occupation and insurgency in France.
DOI: 10.7910/dvn/73m7km
title: KPC October 1998

description: Kibale Party Composition files from 1999-10-01 to 1998-10-31 include 47 files. Access to these files is restricted. Please contact Dr. Zarin Machanda (machanda@fas.harvard.edu) for permission.
DOI: 10.7910/dvn/ugomjn
title: Replication Data for: "Social Entrepreneurship Measurement Framework for Developing Countries" published by RAC-Revista de Administração Contemporânea"

description: This study aims to propose and validate with experts a framework with elements for measuring social entrepreneurship for developing countries. The proposed model was designed based on a literature review of entrepreneurship models indexed in Web of Science and Scopus databases. The dimensions associated with social entrepreneurship and their potential analysis categories were identified, composing a preliminary framework of indicators validated by a panel of experts using the Delphi technique. The analysis tool was a four dimensions survey, and their sub-dimensions, resulting in 59 variables. It was available in Portuguese and English, which allowed international participation, and sent via e-mail to the respondents. A Likert-type scale was adopted, ranging from 1 to 7, where 1 is the least important and 7 the most important for a indicator. At the end of each group of questions, an open-ended question was included for suggestions and comments.
The Delphi method was implemented in two rounds, and it was established as insertion criteria that at least 80% responses were equal or higher than 5. After the first data analysis round, the indicators were submitted to a second round. Initially, the indicators with consensus equal to or greater than 80% were evaluated, then those that did not reach consensus in the first round. In both cases, the specialist was asked to decide whether the indicator should be included or excluded. The analysis of the responses from the second round was carried out using the same level of consensus in first round (80%), for both inclusion and exclusion of the item in the model.
After two rounds of Delphis questionnaires, it was possible to reach the most important indicators for the intended evaluation. Therefore, 46 out of 59 (77.97%) initially proposed indicators were taken into consideration to explain social entrepreneurship in developing countries. The model includes elements of entrepreneurship measurement related to the individual and organizational level, composing four dimensions, namely: Social Entrepreneurial Intention, Social Entrepreneurial Orientation, Processes, and Outcomes. It recognizes that social entrepreneurship in developing countries depends on the social context, which is reflected in the willingness to solve society's problems, generating not only economic value, but also social and environmental value as a result.
description: Data is also available at: https://data.mendeley.com/datasets/9xdsdd8c8n/1
DOI: 10.7910/dvn/tkftru
title: Global 2050 Anopheles stephensi suitability for Plasmodium falciparum transmission at 97.5% CI (5 arc minutes), RCP 4.5, CCSM4

description: This dataset contains the 2050 global distributed predicted number of months suitable for transmission of Plasmodium falciparum malaria by Anopheles stephensi mosquitoes per pixel (5 arc minutes - approximately 10km sq at the equator), under RCP 4.5, CCSM4. Please refer to the accompanying publication for details.
DOI: 10.7910/dvn/ubqyxt
title: Replication Data for: Self-Awareness of Political Knowledge

description: Despite widespread concern over false beliefs about politically-relevant facts, little is known about how strongly Americans believe their answers to poll questions. I propose a conceptual framework for characterizing survey responses about facts: self-awareness, or how well people can assess their own knowledge. I measure self-awareness of political knowledge by eliciting respondent certainty about answers to 24 factual questions about politics. Even on “unfavorable” facts that are inconvenient to the respondent’s political party, more-certain respondents are more likely to answer correctly. Because people are somewhat aware of their ignorance, respondents usually describe their incorrect responses as low-certainty guesses, not high-certainty beliefs. Where misperceptions exist, they tend to be bipartisan: Democrats and Republicans perform poorly on the same questions and explain their answers using similar points of reference.
DOI: 10.7910/dvn/fg0foe
title: Database_on_SP1500_CEO_turnovers_3.31.2021

description: This file contains replication data for the paper "Corporate succession and the impact on portfolio returns." The file identifies new CEO appointments in the S&P 1500 from 20014 to 2018.
DOI: 10.7910/dvn/uezmjt
title: Replication Data for: An application of geographically weighted quantile LASSO to weather index insurance design published by RAC-Revista de Administração Contemporânea

description: Objective: This article studies the efficiency of a novel regression approach, the geographically weighted quantile LASSO (GWQLASSO) in the modeling of yield-index relationship for weather index insurance products. GWQLASSO allows regression coefficients to vary spatially while using the information from neighboring locations to derive robust estimates. The LASSO component of the model facilitates the selection of relevant explanatory variables. Methodology: A weather index insurance (WII) product is developed based on a 1-month standardized precipitation index (SPI) derived from a daily precipitation dataset for 41 weather stations in the State of Paraná (Brazil) for the period of 1979 through 2015. Soybean yield data are also used for the 41 municipalities from 1980 through 2015. The effectiveness of the GWQLASSO product is evaluated against a classic quantile regression approach and a traditional yield insurance product using the Spectral Risk Measure (SRM) and the Mean Semi-deviation. Results: While GWQLASSO proved as effective as quantile regression it outperformed the yield insurance product. Conclusion: The GWQLASSO is an alternative to the crop insurance market in Brazil and other locations with limited data.

About the datasets:
Daily precipitation (mm) and yearly soybean crop yields (kg/ha) at the municipality level in Brazil. The precise location of each weather station is also present in the precipitation dataset.
description: Data is also available at: https://data.mendeley.com/datasets/jycfnxxysp/1
DOI: 10.7910/dvn/ywl7oc
title: A98_9612.jpg

description: Link to OCHRE database: &lt;a href = 'http://pi.lib.uchicago.edu/1001/org/ochre/578d3f71-f5a8-4d04-aab8-048b322a2fc1'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/578d3f71-f5a8-4d04-aab8-048b322a2fc1
DOI: 10.7910/dvn/o8lf42
title: A16_32852.jpg

description: Link to OCHRE database: &lt;a href = 'http://pi.lib.uchicago.edu/1001/org/ochre/32f3215d-4092-42ca-b49b-3e158b036c33'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/32f3215d-4092-42ca-b49b-3e158b036c33
DOI: 10.7910/dvn/tzc10h
title: Replication data for: Namibia (2006): Malaria TRaC Study Evaluating Ownership and Use of Insecticide Treated Nets in Two Northern Regions First Round

description: In April 2006 the Social Marketing Association (SMA), Population Services International (PSI) local affiliate in Namibia, conducted a household survey designed to investigate the important determinants of insecticide treated nets (ITN) use by households, focusing on those with pregnant women and children under five. The study also aimed to determine the current levels of a) household ITN ownership and use by under fives and pregnant women and b) opportunity, ability and motivation (OAM) related determinants of ITN use. The survey served as a baseline survey for future use. A multiple time cross-sectional study design was used to identify determinants of behavior, monitor progress and evaluate programmatic impact. This study served as a baseline and a follow up tracking survey will be done in 2008. Two hundred and forty (240) households with pregnant women and/or children under the age of five were randomly selected from two regions, Kavango and Oshana in Namibia. The heads of households were interviewed and a total of 480 households participated in the study. Results are presented in standard PSI Dashboard form. Only households with pregnant women and/or children under the age of five were included in the sample.
DOI: 10.7910/dvn/ufs7ic
title: Data for "CAIT-UTC-REG23: The Development of a Smart Intersection Mobility Testbed (SIMT)"

description: This project developed the key modules and models for building a prototype smart mobility intersection testbed. The project proposed the key system design, developed the computer-vision based sensing module, created 3D infrastructure model, and explored a risk-based intersection traffic conflict analysis application as an application of the developed intersection smart mobility testbed platform.
DOI: 10.15468/dl.99tptv
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Proceratophrys mantiqueira Mângia, Santana, Cruz & Feio, 2014)",
 "Country is one of (American Samoa, Australia, Christmas Island, Cocos (Keeling) Islands, Cook Islands, Fiji, French Polynesia, Guam, Heard Island and McDonald Islands, Kiribati, Marshall Islands, Micronesia (Federated States of), Nauru, New Caledonia, New Zealand, Niue, Norfolk Island, Northern Mariana Islands, Palau, Papua New Guinea, Pitcairn, Samoa, Solomon Islands, Tokelau, Tonga, Tuvalu, United States Minor Outlying Islands, Vanuatu, Wallis and Futuna)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017920-250525065834625/datasets/export for details.
DOI: 10.15468/dl.47z84b
title: Occurrence Download

description: A dataset containing 631 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Sus scrofa Linnaeus, 1758"
 ]
}

 The dataset includes 631 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017919-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5258/soton/d3506
title: Northumberland Peat Partnership Sensor Node Data

description: This dataset supports the thesis entitled "A real-time cost-effective wireless sensor network for monitoring peatlands with high spatial and temporal resolution"

The Excel file contains timestamped measurements of temperature, humidity, carbon dioxide, soil moisture, visible + IR light intensity, IR light intensity, sensor node battery voltage and methane concentration collected by the sensor nodes described in Chapter 7 of the thesis, which were deployed at Whitelee Moor in collaboration with the Northumberland Peat Partnership.
DOI: 10.7910/dvn/tk2wnv
title: Replication Data for "Images and Perceptions of Human Rights Defenders in Russia: Examining Public Opinion in the Age of the ‘Foreign Agents’ Law"

description: Results of the survey on Russians’ attitudes towards human rights defenders, conducted by the author in collaboration with the Levada Center, a Moscow-based independent polling agency. Interviewing was part of the Center’s monthly Omnibus surveys and took place in 20-23 of April 2015. The survey was administered as face-to-face interviews in respondents’ homes.
DOI: 10.7910/dvn/77yblu
title: Arno Klein Presentations on Open Science

description: Arno Klein's presentations on open science, including mobile health.
DOI: 10.7910/dvn/u2gdci
title: Developing Routesetting in Olympic Bouldering

description: An Examination on how Best to Design Boulders Fit for Purpose
DOI: 10.7910/dvn/twzagw
title: PubDigest: Replication Data and Additional information
title: Natural Language Processing for Drug Repurposing: An Exploration into CTEPH Therapeutics

description: PubDigest can be found at: https://github.com/dansteiert/PubDigest 

Background:

In the modern era, the growth of scientific literature presents a daunting challenge for researchers to keep informed of advancements across multiple disciplines.
Objective:

We apply natural language processing (NLP) to design a software tool that combs PubMed literature, aiming to pinpoint potential drugs that could be repurposed.
Methods:

Using NLP, especially term associations through word embeddings, we explored unrecognized relationships between drugs and diseases. To illustrate the utility of this software, we focused on chronic thromboembolic pulmonary hypertension (CTEPH), a rare disease with limited numbers of scientific publications.
Results:

Our literature analysis identified key clinical features linked to CTEPH using term frequency-inverse document frequency (TF-IDF), a technique measuring a term's significance in a text corpus. This allowed us to map related diseases. One standout was venous thrombosis (VT), which showed strong textual links with CTEPH. Looking deeper, we discovered potential drugs for CTEPH by analyzing literature on both CTEPH and VT. An intriguing find were benzofuran-derivatives, particularly amiodarone, which displayed potential anti-thrombotic properties. In vitro tests confirmed its ability to reduce platelet aggregation significantly by 68% (p=0.018). However, real-world clinical data indicated that CTEPH patients on amiodarone faced a significant 15.9% higher mortality risk (p &lt; 0.001).
Conclusion:
While NLP offers an innovative approach to interpret scientific literature, especially for drug repurposing, it's crucial to tread with caution. Our exploration with benzofuran-derivatives and CTEPH underscores this point. Thus, blending NLP with hands-on experiments and clinical trials can pave the way for safer drug repurposing, especially for rare diseases like CTEPH.
description: PubDigest, null
DOI: 10.7910/dvn/8ncqwh
title: Advanced drought tolerant sorghum hybrids at Kobo 2018

description: Data on agronomic traits of maturity, plant height, grain yield and plant aspect score collected for advanced drought tolerant hybrids evaluated at Kobo (North Wollo, Ethiopia) in 2018