| 1. |
- Ali, Sharib, et al.
(författare)
-
A multi-centre polyp detection and segmentation dataset for generalisability assessment.
- 2023
-
Ingår i: Scientific data. - : Springer Science and Business Media LLC. - 2052-4463. ; 10:1
-
Tidskriftsartikel (refereegranskat)abstract
- Polyps in the colon are widely known cancer precursors identified by colonoscopy. Whilst most polyps are benign, the polyp's number, size and surface structure are linked to the risk of colon cancer. Several methods have been developed to automate polyp detection and segmentation. However, the main issue is that they are not tested rigorously on a large multicentre purpose-built dataset, one reason being the lack of a comprehensive public dataset. As a result, the developed methods may not generalise to different population datasets. To this extent, we have curated a dataset from six unique centres incorporating more than 300 patients. The dataset includes both single frame and sequence data with 3762 annotated polyp labels with precise delineation of polyp boundaries verified by six senior gastroenterologists. To our knowledge, this is the most comprehensive detection and pixel-level segmentation dataset (referred to as PolypGen) curated by a team of computational scientists and expert gastroenterologists. The paper provides insight into data construction and annotation strategies, quality assurance, and technical validation.
|
|
| 2. |
- Azevedo, Flavio, et al.
(författare)
-
Social and moral psychology of COVID-19 across 69 countries
- 2023
-
Ingår i: Scientific Data. - : NATURE PORTFOLIO. - 2052-4463. ; 10:1
-
Tidskriftsartikel (refereegranskat)abstract
- The COVID-19 pandemic has affected all domains of human life, including the economic and social fabric of societies. One of the central strategies for managing public health throughout the pandemic has been through persuasive messaging and collective behaviour change. To help scholars better understand the social and moral psychology behind public health behaviour, we present a dataset comprising of 51,404 individuals from 69 countries. This dataset was collected for the International Collaboration on Social & Moral Psychology of COVID-19 project (ICSMP COVID-19). This social science survey invited participants around the world to complete a series of moral and psychological measures and public health attitudes about COVID-19 during an early phase of the COVID-19 pandemic (between April and June 2020). The survey included seven broad categories of questions: COVID-19 beliefs and compliance behaviours; identity and social attitudes; ideology; health and well-being; moral beliefs and motivation; personality traits; and demographic variables. We report both raw and cleaned data, along with all survey materials, data visualisations, and psychometric evaluations of key variables.
|
|
| 3. |
- Boissonneault, Michael, et al.
(författare)
-
Experts' assessments of migration scenarios between the Middle East & North Africa and Europe
- 2023
-
Ingår i: Scientific Data. - : Springer Nature. - 2052-4463. ; 10
-
Tidskriftsartikel (refereegranskat)abstract
- We describe data collected among 138 migration experts about the repercussions of scenarios of social change on migration between the Middle East & North Africa and Europe, during the period 2021-2030. Scenarios include changes in the cultural, demographic, economic, and political determinants of migration in sending and receiving countries. Assessments focus on the change in the number of family, work, and return migrants, the number of refugees, and the likelihood of achieving safe, orderly, and regular migration. Experts were at the moment of the survey active in European research centers or European (supra-) national governmental or civil society organizations. The survey features a factorial design, which allows for identifying a causal relationship between the experts' assessments and the scenarios of social change. Our data may be used to estimate projection models of future migration flows, map out what experts consider as critical migration issues for the region, and identify areas of agreement or disagreement between them. As such, our dataset may illuminate decision-making regarding migration policies in Europe and beyond.
|
|
| 4. |
- Buchanan, E. M., et al.
(författare)
-
The Psychological Science Accelerator's COVID-19 rapid-response dataset
- 2023
-
Ingår i: Scientific Data. - : Springer Science and Business Media LLC. - 2052-4463. ; 10:1
-
Tidskriftsartikel (refereegranskat)abstract
- In response to the COVID-19 pandemic, the Psychological Science Accelerator coordinated three large-scale psychological studies to examine the effects of loss-gain framing, cognitive reappraisals, and autonomy framing manipulations on behavioral intentions and affective measures. The data collected (April to October 2020) included specific measures for each experimental study, a general questionnaire examining health prevention behaviors and COVID-19 experience, geographical and cultural context characterization, and demographic information for each participant. Each participant started the study with the same general questions and then was randomized to complete either one longer experiment or two shorter experiments. Data were provided by 73,223 participants with varying completion rates. Participants completed the survey from 111 geopolitical regions in 44 unique languages/dialects. The anonymized dataset described here is provided in both raw and processed formats to facilitate re-use and further analyses. The dataset offers secondary analytic opportunities to explore coping, framing, and self-determination across a diverse, global sample obtained at the onset of the COVID-19 pandemic, which can be merged with other time-sampled or geographic data.
|
|
| 5. |
- Chen, Zemeng, et al.
(författare)
-
Open access dataset integrating EEG and fNIRS during Stroop tasks
- 2023
-
Ingår i: Scientific Data. - : Springer Nature. - 2052-4463. ; 10:1
-
Tidskriftsartikel (refereegranskat)abstract
- Conflict monitoring and processing are crucial components of the human cognitive system, with significant implications for daily life and the diagnosis of cognitive disorders. The Stroop task, combined with brain function detection technology, has been widely employed as a classical paradigm for investigating conflict processing. However, there remains a lack of public datasets that integrate Electroencephalogram (EEG) and functional Near-infrared Spectroscopy (fNIRS) to simultaneously record brain activity during a Stroop task. We introduce a dual-modality Stroop task dataset incorporating 34-channel EEG (sampling frequency is 1000 Hz) and 20-channel high temporal resolution fNIRS (sampling frequency is 100 Hz) measurements covering the whole frontal cerebral cortex from 21 participants (9 females/12 males, aged 23.0 ± 2.3 years). Event-related potential analysis of EEG recordings and activation analysis of fNIRS recordings were performed to show the significant Stroop effect. We expected that the data provided would be utilized to investigate multimodal data processing algorithms during cognitive processing.
|
|
| 6. |
|
|
| 7. |
- Ghiringhelli, Luca M., et al.
(författare)
-
Shared metadata for data-centric materials science
- 2023
-
Ingår i: Scientific Data. - : NATURE PORTFOLIO. - 2052-4463. ; 10
-
Tidskriftsartikel (övrigt vetenskapligt/konstnärligt)abstract
- The expansive production of data in materials science, their widespread sharing and repurposing requires educated support and stewardship. In order to ensure that this need helps rather than hinders scientific work, the implementation of the FAIR-data principles (Findable, Accessible, Interoperable, and Reusable) must not be too narrow. Besides, the wider materials-science community ought to agree on the strategies to tackle the challenges that are specific to its data, both from computations and experiments. In this paper, we present the result of the discussions held at the workshop on “Shared Metadata and Data Formats for Big-Data Driven Materials Science”. We start from an operative definition of metadata, and the features that a FAIR-compliant metadata schema should have. We will mainly focus on computational materials-science data and propose a constructive approach for the FAIRification of the (meta)data related to ground-state and excited-states calculations, potential-energy sampling, and generalized workflows. Finally, challenges with the FAIRification of experimental (meta)data and materials-science ontologies are presented together with an outlook of how to meet them.
|
|
| 8. |
|
|
| 9. |
- Jansen, Joachim, 1989-, et al.
(författare)
-
Monitoring of carbon-water fluxes at Eurasian meteorological stations using random forest and remote sensing
- 2023
-
Ingår i: Scientific Data. - : Springer Nature. - 2052-4463. ; 10:1
-
Tidskriftsartikel (refereegranskat)abstract
- Simulating the carbon-water fluxes at more widely distributed meteorological stations based on the sparsely and unevenly distributed eddy covariance flux stations is needed to accurately understand the carbon-water cycle of terrestrial ecosystems. We established a new framework consisting of machine learning, determination coefficient (R2), Euclidean distance, and remote sensing (RS), to simulate the daily net ecosystem carbon dioxide exchange (NEE) and water flux (WF) of the Eurasian meteorological stations using a random forest model or/and RS. The daily NEE and WF datasets with RS-based information (NEE-RS and WF-RS) for 3774 and 4427 meteorological stations during 2002-2020 were produced, respectively. And the daily NEE and WF datasets without RS-based information (NEE-WRS and WF-WRS) for 4667 and 6763 meteorological stations during 1983-2018 were generated, respectively. For each meteorological station, the carbon-water fluxes meet accuracy requirements and have quasi-observational properties. These four carbon-water flux datasets have great potential to improve the assessments of the ecosystem carbon-water dynamics.
|
|
| 10. |
- Kurowska, Anna, et al.
(författare)
-
Familydemic Cross Country and Gender Dataset on work and family outcomes during COVID-19 pandemic
- 2023
-
Ingår i: Scientific Data. - : Springer Science and Business Media LLC. - 2052-4463. ; 10
-
Tidskriftsartikel (refereegranskat)abstract
- Here we present the Familydemic Cross Country and Gender Dataset (FCCGD), which offers cross country and gender comparative data on work and family outcomes among parents of dependent children, before and during the COVID-19 pandemic. It covers six countries from two continents representing diverse welfare regimes as well as distinct policy reactions to the pandemic outbreak. The FCCGD was created using the first wave of a web-based international survey (Familydemic) carried out between June and September 2021, on large samples of parents (aged 20–59) living with at least one child under 12 in Canada, Germany, Italy, Poland, Sweden, and the US. While individual datasets are not available due to country-level restriction policies, the presented database allows for cross-country comparison of a wide range of employment outcomes and work arrangements, the division of diverse tasks of unpaid labour (housework and childcare) in couples, experiences with childcare and school closures due to the pandemic and subjective assessments of changes to work-life balance, career prospects and the financial situation of families (234 variables).
|
|
