cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.25111431.v1
title: The 2022 Ethiopia’s first-ever national dialogue formation: analyzing challenges and prospects

description: Ethiopia held its first national dialogue in response to historical and present issues. This study critically explored the opportunities and challenges of Ethiopia’s present national dialogue. To this end, both the primary and secondary data were collected. To collect primary data, focus group discussions and semi-structured interviews were conducted with representatives of various political parties and key informants. Books, articles, reports, and news are examples of secondary data used in this study. As a result of the findings of this research, the prospects include the development of the Ethiopian National Discussion Commission, the release of political prisoners, favorable reactions to the importance of national discussion, and Ethiopian religion and cohesion. On the other hand, the study explained that the controversy surrounding the establishment of Ethiopian national dialogue, the reduced inclusiveness of the national dialogue process, conflict with the TPLF and Shene, the inclusion of the TPLF and Shene as terrorists by the Ethiopian parliament, a lack of good governance, political polarization (centripetal and centrifugal forces), and imperial syndrome are all posing challenges to the current Ethiopian national dialogue. Overall, despite the major hurdles, the national conversation initiative has a high chance of uniting Ethiopians. Finally, the report recommended that the Ethiopian National Dialogue Commission draft a clear activity plan and begin its implementation as soon as possible. In 2022, Ethiopia is forming the first-ever, national dialogue. This research examines the challenges and prospects of the national dialogue. Focus group discussions and semi-structured interviews were employed for different political parties and key informants to collect the primary data. Secondary data include books, articles, reports, and news. the findings of this research revealed that the establishment of the Ethiopian National Dialogue Commission, the release of political prisoners, the positive responses on the importance of the national dialogue, and Ethiopian religion and cohesion are the prospects. Contrarily, the study also explained that controversy regarding the establishment of Ethiopian national dialogue, the less inclusiveness of the national dialogue process, the conflict with TPLF and Shene, the inclusion of TPLF and Shene as terrorists by Ethiopian parliament, lack of good governance, the political polarization (centripetal and centrifugal forces) and imperial syndrome are challenging current Ethiopia’s national dialogue.
DOI: 10.26022/ieda/113049
title: Temperature derived from clumped isotope composition of snail shells in East Asian monsoon area over the last deglaciation

description: This dataset contains D47, d18O and d13C data derived from snail shells stored in the western edge of the Chinese Loess Plateau (Yuanbao section).
description: Jingjing Guo, Martin Ziegler, Niko Wanders, Mike Vreeken, Qiuzhen Yin, Hao Lu, Louise Fuchs, Jibao Dong, Youbin Sun, Francien Peterse. (2024). Robust land surface temperature record for north China over the past 21,000 years. Science Advances.
DOI: 10.48366/r661506
title: Transmission potential of COVID-19 in Iran [ORKG]

description: Machine-readable description of an article: Transmission potential of COVID-19 in Iran.
DOI: 10.5281/zenodo.10591485
title: Model restart file and output for the NEMO4.2 - PISCES QUOTA P6Z explicit diazotroph scheme

description: Model restart file and output for the P6Z explicit diazotrophy version of PISCES QUOTA (https://github.com/lewiswrightson/NEMO4.2_P6Z).
DOI: 10.5281/zenodo.10591486
title: Model restart file and output for the NEMO4.2 - PISCES QUOTA P6Z explicit diazotroph scheme

description: Model restart file and output for the P6Z explicit diazotrophy version of PISCES QUOTA (https://github.com/lewiswrightson/NEMO4.2_P6Z).
DOI: 10.48432/0a5ie5
title: Forest Inventory on 5 hectares in Saracá-Taquera, Oriximiná, Pará, Brasil in 2013.

description: The Forest Inventory data set Floresta Nacional de Saracá-Taquera (FST_A01_2013_Inventory) refers to the inventory carried out in Saracá-Taquera National Forest, Pará state, Brazil to serve the purpose of calibration and validation to the LiDAR data obtained in the same area. The United States Forest Service working in collaboration with the Brazilian Agricultural Research Corporation (Embrapa) have made possible the provision of high accuracy LiDAR data aiming at developing new methods and generating knowledge in the field. This dataset contains: a. A comma separated value (CSV) file format containing the data; b. A readme Portable Document file (PDF) format which provides information about the .csv file content, explanation of each section of the document and any complement necessary. c. Map of Forest Inventory Plots carried out in the area (shapefile). “Data were acquired by the Sustainable Landscapes Brazil project supported by the Brazilian Agricultural Research Corporation (Embrapa), the US Forest Service, USAID and the US Department of State."
DOI: 10.5281/zenodo.8332748
title: SE-PEF: a Resource for Personalized Expert Finding

description: The problem of personalization in Information Retrieval has been under study for a long time. A well know issue related to this task is the lack of publicly available datasets that can support a comparative evaluation of personalised search systems. To contribute in this respect, this paper introduces SE-PEF (StackExchange - Personalized Expert Finding), a resource useful for designing and evaluating personalized models related to the task of Expert Finding (EF).The contributed dataset  includes more than  250k queries and 565k answers from 3,306 experts, which are annotated with a rich set of features modeling the social interactions among the users of a popular cQA platform.The results of the preliminary experiments conducted show the appropriateness of SE-PEF to evaluate and to train effective EF models.

If you use this dataset, please also cite the following:

```

@inproceedings{  10.1145/3624918.3625335,  author = {Kasela, Pranav and Pasi, Gabriella and Perego, Raffaele},  title = {SE-PEF: a Resource for Personalized Expert Finding},  year = {2023},  isbn = {9798400704086},  publisher = {Association for Computing Machinery},  address = {New York, NY, USA},  url = {https://doi.org/10.1145/3624918.3625335},  doi = {10.1145/3624918.3625335},  booktitle = {Proceedings of the Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region},  pages = {288–309},  numpages = {22},  series = {SIGIR-AP '23}}

```
DOI: 10.5281/zenodo.8332747
title: SE-PEF: a Resource for Personalized Expert Finding

description: The problem of personalization in Information Retrieval has been under study for a long time. A well know issue related to this task is the lack of publicly available datasets that can support a comparative evaluation of personalised search systems. To contribute in this respect, this paper introduces SE-PEF (StackExchange - Personalized Expert Finding), a resource useful for designing and evaluating personalized models related to the task of Expert Finding (EF).The contributed dataset  includes more than  250k queries and 565k answers from 3,306 experts, which are annotated with a rich set of features modeling the social interactions among the users of a popular cQA platform.The results of the preliminary experiments conducted show the appropriateness of SE-PEF to evaluate and to train effective EF models.

If you use this dataset, please also cite the following:

```

@inproceedings{  10.1145/3624918.3625335,  author = {Kasela, Pranav and Pasi, Gabriella and Perego, Raffaele},  title = {SE-PEF: a Resource for Personalized Expert Finding},  year = {2023},  isbn = {9798400704086},  publisher = {Association for Computing Machinery},  address = {New York, NY, USA},  url = {https://doi.org/10.1145/3624918.3625335},  doi = {10.1145/3624918.3625335},  booktitle = {Proceedings of the Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region},  pages = {288–309},  numpages = {22},  series = {SIGIR-AP '23}}

```
DOI: 10.48432/iqniiu
title: Forest Inventory on 5 hectares in Andiroba, Paragominas, Pará, Brasil in 2013.

description: The Forest Inventory data set Fazenda Andiroba (AND_A01_2013_Inventory) refers to the inventory carried out in Paragominas municipality, Pará state, Brazil. The United States Forest Service working in collaboration with the Brazilian Agricultural Research Corporation (Embrapa) have made possible the provision of high accuracy LiDAR data aiming at developing new methods and generating knowledge in the field. This dataset contains: a. A comma separated value (CSV) file format containing the data; b. A readme Portable Document file (PDF) format which provides information about the .csv file content, explanation of each section of the document and any complement necessary. c. Map of Forest Inventory Plots carried out in the area (shapefile). “Data were acquired by the Sustainable Landscapes Brazil project supported by the Brazilian Agricultural Research Corporation (Embrapa), the US Forest Service, USAID and the US Department of State."
DOI: 10.48432/unxqmd
title: Forest Inventory on 1.7 hectares in Tapajós, Belterra, Pará, Brasil in 2011.

description: The Forest Inventory data set Floresta Nacional do Tapajós (TAP_A05_2011_Inventory) refers to the inventory carried out in Tapajós National Forest, Pará state to serve the purpose of calibration and validation to the LiDAR data obtained in the same area. The United States Forest Service working in collaboration with the Brazilian Agricultural Research Corporation (Embrapa) have made possible the provision of high accuracy LiDAR data aiming at developing new methods and generating knowledge in the field. This dataset contains: a. A comma separated value (CSV) file format containing the data; b. A readme Portable Document file (PDF) format which provides information about the .csv file content, explanation of each section of the document and any complement necessary. c. Map of Forest Inventory Plots carried out in the area (shapefile). “Data were acquired by the Sustainable Landscapes Brazil project supported by the Brazilian Agricultural Research Corporation (Embrapa), the US Forest Service, USAID and the US Department of State."
DOI: 10.48432/uhncno
title: Forest Inventory on 4.25 hectares in Adolpho Ducke Forest Reserve, Amazonas, Brasil in 2016.

description: The Forest Inventory data set Reserva Florestal Adolpho Ducke (DUC_A01_2016_Inventory) refers to the inventory carried out in the Adolpho Ducke Forest Reserve, Amazonas state to serve the purpose of calibration and validation to the LiDAR data obtained in the same area. The United States Forest Service working in collaboration with the Brazilian Agricultural Research Corporation (Embrapa) have made possible the provision of high accuracy LiDAR data aiming at developing new methods and generating knowledge in the field. This dataset contains: a. A comma separated value (CSV) file format containing the data; b. A readme Portable Document file (PDF) format which provides information about the .csv file content, explanation of each section of the document and any complement necessary. c. Map of Forest Inventory Plots carried out in the area (shapefile) “Data were acquired by the Sustainable Landscapes Brazil project supported by the Brazilian Agricultural Research Corporation (Embrapa), the US Forest Service, USAID and the US Department of State."
DOI: 10.25678/0009c4
title: Data for: Comparing PV-green and PV-cool roofs to diverse rooftop options using decision analysis

description: Flat roofs can employ a range of technologies to improve sustainability, such as photovoltaic (PV) panels, green roofs, cool roofs, or a combination of these options. Yet, weighing the benefits, costs, and performance of different roofing technologies is complex, especially when different stakeholders are involved. Decision analysis techniques, such as multi-criteria decision analysis (MCDA), can be used to systematically evaluate a diverse range of rooftop options to assess trade-offs in a quantitative way and avoid decision biases. This study offers a holistic comparison of different roof types, considering stakeholder preferences and uncertainty using MCDA. Ten flat roof options are compared, including black, gravel, cool, extensive green and semi-intensive green roofs, each with or without a rooftop PV installation, for nine objectives and three hypothetical stakeholder profiles. Performance is evaluated using building energy simulation, hydrologic modeling, and literature research. Uncertainty analyses are used to evaluate the effects of model assumptions on the MCDA results. For assumed preferences of an urban planner and environmentalist, semi-intensive green roofs with integrated PV installation are the best performing option; however, for a hypothetical building owner more concerned with costs, a gravel roof with PV ranks best. Uncertainty plays a role in the results, in particular, the uncertainty of the predicted outcome of options for the building owner, which can change the top-ranking options considerably. The uncertainty analyses are useful to identify consensus options over all three stakeholder types. Despite considerable uncertainty, extensive and semi-intensive green roofs with PV are recommended as relatively robust best-performing options.
DOI: 10.5281/zenodo.10589315
title: Forecast data for the paper: "Assimilating summer sea-ice thickness observations improves Arctic sea-ice forecast"

description: 1. “Short_term_forecast.mat” contains the short-term ensemble mean sea-ice thickness (SIT) and sea-ice concentration (SIC) forecast results. The dimension of each forecast result variable is [420, 384, 7, 30, 5]. 420 and 384 is the number of the horizontal grids. Seven denotes the seven-day lead time of a single forecast. 30 shows the number of days in which each forecast starts after the model restart. Five indicates that the model restarts monthly from the restart files from the Combined Model and Satellite Thickness (CMST) product in five summer months each year.

2. “Long_term_forecast.mat” contains the long-term ensemble mean sea-ice thickness and sea-ice concentration forecast results. The dimension of the forecast result variables in each year is [420, 384, 270, 5]. Similar to “Short_term_forecast.mat”, 420 and 384 is the number of the horizontal grids. 270 denotes the 270-day lead time of a single forecast. Five indicates that the model restarts monthly from the restart files from CMST in five summer months.

3. “Initial_condition_Short_term_forecast.mat” contains the ensemble mean initial conditions of SIT as plotted in Figure 1 and Figure S2.

 

For more details please refer to the paper “Assimilating summer sea-ice thickness observations improves Arctic sea-ice forecast”
DOI: 10.6084/m9.figshare.25111376
title: COREQ_Multilingual families in Spain_SI-2024

description: This link contains the COREQ checklist used to assess the qualitative study by Paula Bellón et al. submitted to the journal <i>Languages</i> as part of the special issue <i>"</i><i>Challenging the Paradigm of Bi/Multilingual Research"</i>.
DOI: 10.6084/m9.figshare.25111376.v1
title: COREQ_Multilingual families in Spain_SI-2024

description: This link contains the COREQ checklist used to assess the qualitative study by Paula Bellón et al. submitted to the journal <i>Languages</i> as part of the special issue <i>"</i><i>Challenging the Paradigm of Bi/Multilingual Research"</i>.
DOI: 10.12751/g-node.lmbq21
title: Effects of non-invasive brain stimulation on patients with aphasia

description: Anonymized MRI data of patients with post-stroke aphasia. Sociodemographic, diagnosis and lesion details in Cid-Fernández et al., 2022 Acquisition parameters: Philips 3T Achieva scanner sagittal T1-weighted 3D Magnetization Prepared Rapid Acquisition Gradient Echo (MPRAGE) sequence (repetition time/echo time = 7.45 ms / 3.40 ms. flip angle = 8º; 180 slices, voxel size = 1 x 1 x 1 mm, field of view = 240 x 240 mm2, matrix size = 240 x 240 mm)
description: IsSupplementTo: Susana Cid-Fernández, Miguel Ángel Rivas-Fernández, Benxamín Varela-López & Santiago Galdo-Álvarez (2022) Combined anodal transcranial direct current stimulation and behavioural naming treatment improves language performance in patients with post-stroke aphasia, Brain Injury, 36:8, 1039-1045. (https://doi.org/10.1080/02699052.2022.2109733)
DOI: 10.5281/zenodo.3778297
title: Webis ChangeMyView Corpus 2020 (Webis-CMV-20)

description: The Webis-CMV-20 dataset comprises all available posts and comments in the ChangeMyView subreddit from the foundation of the subreddit in 2005, until September 2017. From these, we have derived two sub-datasets for the tasks of persuasiveness prediction, and opinion malleability prediction. In addition, the corpus comprises historical posts by CMV authors, and derived personal characteristics.


Dataset specification


All files are in bzip2-compressed JSON Lines format.



	
threads.jsonl: contains all the selected discussion threads from CMV
	
pairs.jsonl: each record contains submission, delta-comment and nondelta-comment and the comments' similarity score
	
posts-malleability.jsonl: contains posts for opinion mallebility prediction, in the format provided in the original Reddit Crawl dataset
	
author_entity_category.jsonl: each record contains the author and list of Wikipedia entities mentioned by the author in the messages across all subreddits. For each mentioned entity we provide the following data: 



[title, wikidata_id, wikipedia_page_id, mentioned_entity_title, wikifier_score, subreddit_name, subreddit_id, subreddit_category_name, subreddit_topcategory_name]



	
author_liwc.jsonl: personality traits features computed with LIWC for the authors from pairs.jsonl and post_malleability.jsonl datasets
	
author_subreddit.jsonl: for each author statistics of all number of all posts (submissions/comments) across all subreddits are provided
	
author_subreddit_category.jsonl: similar to author_subreddit.jsonl, the statistics of all author posts is grouped by top-categories and categories according to snoopsnoo.com
DOI: 10.5281/zenodo.3778298
title: Webis ChangeMyView Corpus 2020 (Webis-CMV-20)

description: The Webis-CMV-20 dataset comprises all available posts and comments in the ChangeMyView subreddit from the foundation of the subreddit in 2005, until September 2017. From these, we have derived two sub-datasets for the tasks of persuasiveness prediction, and opinion malleability prediction. In addition, the corpus comprises historical posts by CMV authors, and derived personal characteristics.


Dataset specification


All files are in bzip2-compressed JSON Lines format.



	
threads.jsonl: contains all the selected discussion threads from CMV
	
pairs.jsonl: each record contains submission, delta-comment and nondelta-comment and the comments' similarity score
	
posts-malleability.jsonl: contains posts for opinion mallebility prediction, in the format provided in the original Reddit Crawl dataset
	
author_entity_category.jsonl: each record contains the author and list of Wikipedia entities mentioned by the author in the messages across all subreddits. For each mentioned entity we provide the following data: 



[title, wikidata_id, wikipedia_page_id, mentioned_entity_title, wikifier_score, subreddit_name, subreddit_id, subreddit_category_name, subreddit_topcategory_name]



	
author_liwc.jsonl: personality traits features computed with LIWC for the authors from pairs.jsonl and post_malleability.jsonl datasets
	
author_subreddit.jsonl: for each author statistics of all number of all posts (submissions/comments) across all subreddits are provided
	
author_subreddit_category.jsonl: similar to author_subreddit.jsonl, the statistics of all author posts is grouped by top-categories and categories according to snoopsnoo.com
DOI: 10.6084/m9.figshare.25111508
title: Integración Figshare

description: Archivo subido a Figshare vía api rest
DOI: 10.6084/m9.figshare.25111508.v1
title: Integración Figshare

description: Archivo subido a Figshare vía api rest
DOI: 10.25405/data.ncl.22153790
title: Demographic time series Ngetngod reef Palau

description: Analysis in R to explore shifts in population size structure of <i>Acropora</i>, <i>Pocillopora</i>, and <i>Stylophora </i>at Ngetngod reef in Palau.
DOI: 10.25405/data.ncl.22153790.v1
title: Demographic time series Ngetngod reef Palau

description: Analysis in R to explore shifts in population size structure of <i>Acropora</i>, <i>Pocillopora</i>, and <i>Stylophora </i>at Ngetngod reef in Palau.
DOI: 10.5281/zenodo.10592291
title: PlanktoScope Images from CMS Seawall, Jan 24

description: Planktoscope images from a plankton net tow off the USF College of Marine Science seawall on January 24, 2024. Segmented images are roughly classified. This data set is for the CMS BioOc Course.
DOI: 10.5281/zenodo.10592292
title: PlanktoScope Images from CMS Seawall, Jan 24

description: Planktoscope images from a plankton net tow off the USF College of Marine Science seawall on January 24, 2024. Segmented images are roughly classified. This data set is for the CMS BioOc Course.
DOI: 10.5281/zenodo.10592145
title: Patient-reported outcomes in the aging population of adults with congenital heart disease results from APPROACH-IS

description: Moons P, Luyckx K, Thomet C, Budts W, Enomoto J, Sluman MA, Yang HL, Jackson JL, Khairy P, Cook SC, Chidambarathanu S, Alday L, Oechslin E, Eriksen K, Dellborg M, Berghammer M, Johansson B, Mackie AS, Menahem S, Caruana M, Veldtman G, Soufi A, Fernandes SM, White K, Callus E, Kutty S, Kovacs AH; APPROACH-IS consortium. Patient-reported outcomes in the aging population of adults with congenital heart disease: results from APPROACH-IS. Eur J Cardiovasc Nurs. 2023 May 25;22(4):339-344. doi: 10.1093/eurjcn/zvac057. PMID: 35901014.

Abstract



The congenital heart disease (CHD) population now comprises an increasing number of older persons in their 6th decade of life and beyond. We cross-sectionally evaluated patient-reported outcomes (PROs) in persons with CHD aged 60 years or older, and contrasted these with PROs of younger patients aged 40-59 years and 18-39 years. Adjusted for demographic and medical characteristics, patients ≥60 years had a lower Physical Component Summary, higher Mental Component Summary, and lower anxiety (Hospital Anxiety and Depression Scale-Anxiety) scores than patients in the two younger categories. For satisfaction with life, older persons had a higher score than patients aged 40-59 years. Registration: ClinicalTrials.gov NCT02150603.