cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/ydnn9b3d4m
title: Visual appearance and sensitivity are mediated by distinct mechanisms

description: This dataset contains both behavioral and fMRI data from the publication “Visual appearance and sensitivity are mediated by distinct mechanisms” in Neuropsychologia. Detailed information about the experimental design and procedures can be found in the article.

In a previous study, using an illusory stimulus inspired by Adelson's checkerboard (Adelson, 1995), we demonstrated that contrast appearance depends on high-level context (Pamir & Boyaci, 2016). In the current study, we utilized this effect to investigate the neural mechanisms underlying appearance and sensitivity judgments of visual stimuli using psychophysics and fMRI. Specifically, we measured contrast appearance judgments, contrast detection thresholds, and BOLD activity related to contrast gratings in context. Our results showed that: 
1. Incremental, but not decremental, gratings appeared to have higher contrast on the perceptually lighter patch compared to those on the darker patch.
2. Yet, for both types of gratings, thresholds were lower when contrast gratings were superimposed on the lighter patch than those on the darker patch.
3. Activity in the primary visual cortex (V1) aligned well with the sensitivity performance.

These results suggest that partly distinct mechanisms underlie sensitivity and appearance and, further, V1 plays an important role in sensitivity judgments.
DOI: 10.17632/ydnn9b3d4m.1
title: Visual appearance and sensitivity are mediated by distinct mechanisms

description: This dataset contains both behavioral and fMRI data from the publication “Visual appearance and sensitivity are mediated by distinct mechanisms” in Neuropsychologia. Detailed information about the experimental design and procedures can be found in the article.

In a previous study, using an illusory stimulus inspired by Adelson's checkerboard (Adelson, 1995), we demonstrated that contrast appearance depends on high-level context (Pamir & Boyaci, 2016). In the current study, we utilized this effect to investigate the neural mechanisms underlying appearance and sensitivity judgments of visual stimuli using psychophysics and fMRI. Specifically, we measured contrast appearance judgments, contrast detection thresholds, and BOLD activity related to contrast gratings in context. Our results showed that: 
1. Incremental, but not decremental, gratings appeared to have higher contrast on the perceptually lighter patch compared to those on the darker patch.
2. Yet, for both types of gratings, thresholds were lower when contrast gratings were superimposed on the lighter patch than those on the darker patch.
3. Activity in the primary visual cortex (V1) aligned well with the sensitivity performance.

These results suggest that partly distinct mechanisms underlie sensitivity and appearance and, further, V1 plays an important role in sensitivity judgments.
DOI: 10.17632/6by2sg7rt9
title: Aportes de la interacción con una cartilla de orientación psicosocial con diseño Transmedia a la salud mental de estudiantes de bachillerato

description: La presente es una propuesta de intervención para la atención en salud mental en contextos escolares. Es un proyecto que propone el desarrollo e implementación de una cartilla transmedia, que podría constituir una herramienta de enganche para que, en los contextos escolares, los jóvenes que con ella interactúen, puedan encontrar rutas de apoyo cuando sientan que lo requieren. La propuesta describe el procedimiento que podría llevarse a cabo para el desarrollo de la cartilla y presenta una conceptualización y revisión teórica que justifican y soportan la pertinencia del desarrollo de este tipo de herramientas. Se espera que el presente proyecto pueda ser implementado por instituciones educativas o psicólogos que se interesen en formas alternativas y novedosas que, además, pueden ser asequibles y cercanas a los intereses de jóvenes escolarizados, teniendo en cuenta que una de las barreras para la atención de la salud mental, es la tendencia al silenciamiento y poca búsqueda de ayuda, por parte de quienes padecen problemáticas de este tipo, especialmente en los contextos escolares.
DOI: 10.17632/6by2sg7rt9.1
title: Aportes de la interacción con una cartilla de orientación psicosocial con diseño Transmedia a la salud mental de estudiantes de bachillerato

description: La presente es una propuesta de intervención para la atención en salud mental en contextos escolares. Es un proyecto que propone el desarrollo e implementación de una cartilla transmedia, que podría constituir una herramienta de enganche para que, en los contextos escolares, los jóvenes que con ella interactúen, puedan encontrar rutas de apoyo cuando sientan que lo requieren. La propuesta describe el procedimiento que podría llevarse a cabo para el desarrollo de la cartilla y presenta una conceptualización y revisión teórica que justifican y soportan la pertinencia del desarrollo de este tipo de herramientas. Se espera que el presente proyecto pueda ser implementado por instituciones educativas o psicólogos que se interesen en formas alternativas y novedosas que, además, pueden ser asequibles y cercanas a los intereses de jóvenes escolarizados, teniendo en cuenta que una de las barreras para la atención de la salud mental, es la tendencia al silenciamiento y poca búsqueda de ayuda, por parte de quienes padecen problemáticas de este tipo, especialmente en los contextos escolares.
DOI: 10.17632/mgv2n2vcb9
title: A Bilingual Malay-English Social Media Dataset for Binary Hate Speech Detection

description: This dataset consists of 26,985 bilingual Malay-English social media posts curated for binary hate speech detection tasks. The data are collected and processed from five publicly available sources: HateXplain (English), HateM (Malay), Toxicity-Small (Malay), Snapshot-Twitter-2022 (Malay), and Supervised-Twitter (Malay). Among them, HateXplain, HateM, and Toxicity-Small contain manually annotated labels, while Snapshot and Supervised-Twitter are pseudo-labeled using a custom pipeline.

Each entry includes cleaned social media text, a binary hate speech label (0 = non-hate, 1 = hate), language code (en for English, ms for Malay), and the original source. The dataset is balanced across classes, with 14,642 non-hate and 12,343 hate-labeled entries. Language distribution includes 13,609 English and 13,376 Malay-language texts.

Preprocessing is conducted separately for each language. Malay-language texts underwent spelling correction, slang normalisation, placeholder standardisation (, ), and translation filtering using Malaya NLP tools and custom-built dictionary (malayslangdict.py in slang_dictionary_custom folder). English texts are processed using Ekphrasis to handle social media-specific patterns, emojis, hashtags, and slang. Low-quality or duplicate entries are removed to ensure the data quality. The dataset is stored in CSV format (UTF-8) and is suitable for training and evaluating multilingual and low-resource hate speech detection models.
DOI: 10.15468/dl.z2cm2d
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Paradoxornis paradoxus",
 "Country is one of (Brunei Darussalam, Indonesia, Philippines, Timor-Leste, Singapore)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028613-250920141307145/datasets/export for details.
DOI: 10.17632/mgv2n2vcb9.3
title: A Bilingual Malay-English Social Media Dataset for Binary Hate Speech Detection

description: This dataset consists of 26,985 bilingual Malay-English social media posts curated for binary hate speech detection tasks. The data are collected and processed from five publicly available sources: HateXplain (English), HateM (Malay), Toxicity-Small (Malay), Snapshot-Twitter-2022 (Malay), and Supervised-Twitter (Malay). Among them, HateXplain, HateM, and Toxicity-Small contain manually annotated labels, while Snapshot and Supervised-Twitter are pseudo-labeled using a custom pipeline.

Each entry includes cleaned social media text, a binary hate speech label (0 = non-hate, 1 = hate), language code (en for English, ms for Malay), and the original source. The dataset is balanced across classes, with 14,642 non-hate and 12,343 hate-labeled entries. Language distribution includes 13,609 English and 13,376 Malay-language texts.

Preprocessing is conducted separately for each language. Malay-language texts underwent spelling correction, slang normalisation, placeholder standardisation (, ), and translation filtering using Malaya NLP tools and custom-built dictionary (malayslangdict.py in slang_dictionary_custom folder). English texts are processed using Ekphrasis to handle social media-specific patterns, emojis, hashtags, and slang. Low-quality or duplicate entries are removed to ensure the data quality. The dataset is stored in CSV format (UTF-8) and is suitable for training and evaluating multilingual and low-resource hate speech detection models.
DOI: 10.17632/b47rrdbzgh
title: RedRoses

description: These data are those used in the submission to the journal Animal Behaviour a manuscript entitled 'Size selection of worms by redshank, Tringa totanus: a multivariate re-analysis of data first published in 1977'
DOI: 10.17632/b47rrdbzgh.1
title: RedRoses

description: These data are those used in the submission to the journal Animal Behaviour a manuscript entitled 'Size selection of worms by redshank, Tringa totanus: a multivariate re-analysis of data first published in 1977'
DOI: 10.17632/jvz82phd64.1
title: Digital Technology Innovation and Firms’ Labor Income Share

description: README: Replication Package
Paper Title
Digital Technology Innovation and Firms’ Labor Income Share
Authors:
 Qilin Mao
Yiming Zhong
Jiayun Xu
Date: September 28, 2025
*Note: The files are disclosed exclusively to address the first-round review requirements of Economic Modelling.
DOI: 10.17632/x9gxt658r8
title: Datasets for Assessing the exhumation of highly-evolved plutons and their Sn resource potential using ensemble and explainable machine learning

description: Datasets for "Ensemble machine learning unveils detrital cassiterite provenance and hidden primary tin deposits"
DOI: 10.17632/x9gxt658r8.3
title: Datasets for Assessing the exhumation of highly-evolved plutons and their Sn resource potential using ensemble and explainable machine learning

description: Datasets for "Ensemble machine learning unveils detrital cassiterite provenance and hidden primary tin deposits"
DOI: 10.15468/dl.pkgnda
title: Occurrence Download

description: A dataset containing 5518 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Grus nigricollis"
 ]
}

 The dataset includes 5518 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028614-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bby8et
title: Occurrence Download

description: A dataset containing 966 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pteris multifida",
 "Geometry POLYGON((119.300000 20.500000, 122.100000 20.500000, 122.100000 25.400000, 119.300000 25.400000, 119.300000 20.500000))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 966 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028617-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.smbfwb
title: Occurrence Download

description: A dataset containing 22931 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Ludwigia peploides)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 22931 records from 589 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028616-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/vfbg3dvtmw
title: Fogo loess

description: This dataset presents data on grain size distribution and rare earth element distribution patterns from Fogo Island and the Xifeng loess in China. Grain size analysis was performed using component decomposition with the Qrain grain size comprehensive analysis software, details of which are provided in the database.
DOI: 10.17632/vfbg3dvtmw.1
title: Fogo loess

description: This dataset presents data on grain size distribution and rare earth element distribution patterns from Fogo Island and the Xifeng loess in China. Grain size analysis was performed using component decomposition with the Qrain grain size comprehensive analysis software, details of which are provided in the database.
DOI: 10.15468/dl.rmfgby
title: Occurrence Download

description: A dataset containing 41 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Saudi Arabia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Locality is Mahazat As-Sayd Protected Area",
 "OccurrenceStatus is Present",
 "TaxonKey is Animalia"
 ]
}

 The dataset includes 41 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028618-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/xyjz57bp8c.2
title: Comparative Study of 24 Publications on the Applications of AI, Robots, and Automation Frameworks on Quality Management in Construction Sites

description: This dataset provides a structured review of 24 peer-reviewed studies published between 2006 and 2024 on the application of advanced technologies in construction quality management. It collates information on a wide range of technologies, including artificial intelligence (AI), machine learning, computer vision, robotics, Internet of Things (IoT), blockchain, and augmented/virtual reality (AR/VR), as they have been applied to quality-related tasks in construction.
For each study, the dataset records bibliographic details (title, authors, year, and country of origin), methodological approach, the technology investigated, application level within quality management processes, and any frameworks referenced. In addition, it documents the benefits and drawbacks reported, the key performance indicators (KPIs) or metrics used, and where available, measures of accuracy or performance. The dataset also captures information about industry reception and collaboration, as well as institutional affiliations.
By consolidating these diverse sources into a single structured resource, the dataset enables researchers and practitioners to trace how different technologies have been applied to quality management in construction, what indicators have been used to evaluate them, and where evidence has been concentrated. It serves as a reference point for future academic studies and industry initiatives concerned with digitalisation and quality in the built environment.
DOI: 10.17632/jsg3trtf29
title: Understanding Agricultural Subsidies and Factor Allocation: A General Equilibrium Analysis

description: This is the replication file for paper "Understanding Agricultural Subsidies and Factor Allocation: A General Equilibrium Analysis", which is published in Economic Modelling.
DOI: 10.17632/jsg3trtf29.1
title: Understanding Agricultural Subsidies and Factor Allocation: A General Equilibrium Analysis

description: This is the replication file for paper "Understanding Agricultural Subsidies and Factor Allocation: A General Equilibrium Analysis", which is published in Economic Modelling.
DOI: 10.15468/dl.x59szk
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ononis arvensis",
 "Country is Canada",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028619-250920141307145/datasets/export for details.
DOI: 10.26188/30230878
title: Effects of Ferric Carboxymaltose on Pica among Pregnant Women in Malawi: A Substudy to a Randomized Controlled Trial

description: The dataset relates to de-identified data of 862 pregnant women from Southern Malawi, who were randomised in the REVAMP (RandomisEd trial of intraVenous iron for Anaemia in Malawian Pregnant women) trial. This primary objective of the REVAMP trial explored the effect of a single dose of a modern IV iron formulation (ferric carboxymaltose) compared to standard-of-care (oral iron) for anaemia treatment in Malawian pregnant women and their neonates up to 1-month post-partum. This dataset includes information on Pica, which refers to the craving and consumption of non-food items. The REVAMP trial was utilized to determine the effects of iron therapy in the second trimester, compared to standard-of-care oral iron on pica behaviors among anemic pregnant women in Malawi.This project contains two separate datasets and corresponding data dictionaries which underlie the variables used in the analysis of the PICA data. These consist of:- Baseline characteristics - PICA To maintain the privacy and confidentiality of the research participants, access is provided to de-identified data only. Certain variables have not been included due to their risk of re-identification, as outlined in the data dictionaries. These variables are available by the corresponding author (Sant-Rayn Pasricha: pasricha.s@wehi.edu.au) upon reasonable request. <br>
DOI: 10.26188/30230878.v1
title: Effects of Ferric Carboxymaltose on Pica among Pregnant Women in Malawi: A Substudy to a Randomized Controlled Trial

description: The dataset relates to de-identified data of 862 pregnant women from Southern Malawi, who were randomised in the REVAMP (RandomisEd trial of intraVenous iron for Anaemia in Malawian Pregnant women) trial. This primary objective of the REVAMP trial explored the effect of a single dose of a modern IV iron formulation (ferric carboxymaltose) compared to standard-of-care (oral iron) for anaemia treatment in Malawian pregnant women and their neonates up to 1-month post-partum. This dataset includes information on Pica, which refers to the craving and consumption of non-food items. The REVAMP trial was utilized to determine the effects of iron therapy in the second trimester, compared to standard-of-care oral iron on pica behaviors among anemic pregnant women in Malawi.This project contains two separate datasets and corresponding data dictionaries which underlie the variables used in the analysis of the PICA data. These consist of:- Baseline characteristics - PICA To maintain the privacy and confidentiality of the research participants, access is provided to de-identified data only. Certain variables have not been included due to their risk of re-identification, as outlined in the data dictionaries. These variables are available by the corresponding author (Sant-Rayn Pasricha: pasricha.s@wehi.edu.au) upon reasonable request. <br>
DOI: 10.15468/dl.y2mu6w
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ononis arvensis",
 "Country is United States of America",
 "HasCoordinate is true"
 ]
}

 The dataset includes 18 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028620-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hmatmh
title: Occurrence Download

description: A dataset containing 179 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "Geometry POLYGON((65.92137 24.47918,126.07863 24.47918,126.07863 48.52082,65.92137 48.52082,65.92137 24.47918))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Przewalskia tangutica",
 "Year 1000-2025"
 ]
}

 The dataset includes 179 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028622-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17222863
title: Building Consumer Loyalty: Understanding E-Satisfaction in Fast-Fashion Purchases on E-Commerce Platform

description: The research's raw data is present in an Excel file with twelve sheets. The Form Response sheet has the main dataset which contains complete responses from 441 subjects that completed the questionnaire survey. The data consists of demographic variables such as gender, age range, domicile, occupation, marital status, and income level. In addition, it captures respondents' shopping behavior on Shopee regarding their frequency of purchases of fast-fashion items and respondents' evaluations of Shopee responses through Likert-scale items (1–5). These Likert-scale evaluations include information quality, service quality, price perceptions, overall satisfaction, and loyalty intentions to Shopee as an e-commerce platform.

The demographics distribution of Respondents is summarized in the Respondent Profile sheet with counts of gender (135 males and 306 females) and other demographics presented in the profile format as a recap table. 

Several sheets contain outputs of the measurement model evaluation of the PLS-SEM procedure. For example, the Outer Loadings sheet reports the indicator reliability values for the constructs of Information Quality (IQ), Perceived Value (PV), and Loyalty (LO). The Construct Reliability sheet provides the Cronbach’s Alpha, Composite Reliability, and AVE values which indicated that the majority of models are above the threshold levels for reliability and evidence of convergent validity. 

The Discriminant Validity and Fornell Larcker sheets demonstrate that the constructs are different from one another. The Model Fit sheet reports indices of the model's goodness-of-fit (SRMR, d_ULS, d_G, Chi-square and NFI). 

Lastly, the Path Coefficients and Hypothesis Testing sheets provide the results of the structural model, including the magnitude and significance of the relationships between constructs as shown through path coefficients, t-statistics, and p-values, as well a note about whether each hypothesis is accepted or rejected. 

Overall, while the raw data file contains the original typos questionnaire, it also includes the statistical analyses necessary to confirm the measurement instruments and test the proposed structural model of consumer loyalty in fast fashion purchases on Shopee platform.