cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/5bkxpvnktt.1
title: Diagnostic Evaluation Dataset for Web of Science Smart Search vs. Advanced Search: A Controlled, Tiered Comparative Analysis with Query Parsing and Relevance Judgment Data

description: This dataset contains the complete evidence for a diagnostic evaluation of Web of Science (WoS) "Smart Search". The study hypothesized that Smart Search lacks the semantic understanding and precise control needed to substitute for the traditional Advanced Search in rigorous academic work.

Data Content & Structure:
The data is organized via a Three-Tier Model of Retrieval Intelligence:

Tier 1 (Lexical): Tests on keyword processing, wildcards (*), spelling correction, and cross-lingual mapping.

Tier 2 (Pattern): Tests on Boolean logic recognition (case-sensitive AND/OR/NOT), field recognition (author:), and complex query execution.

Tier 3 (Semantic): Natural language query results and manual relevance judgments for two case studies (using prototyping... and review of...), demonstrating semantic failure.

Key Findings (Data-Driven):

Wildcards fail completely (e.g., cell* is run as cell).

Boolean logic is brittle (only uppercase AND/OR/NOT recognized).

Query expansion distorts intent (e.g., adding 90 unrelated documents to a precise Boolean query).

Semantic understanding collapses: Natural language is reduced to a "bag-of-words AND" strategy. Manual assessment shows high rates of thematic deviation (36%) and strategy failure (4% precision).

Data Collection Method:
Controlled, comparative experiment. Each Smart Search query was benchmarked against an equivalent, precisely formulated query in WoS Advanced Search. For Tier 3, random samples (n=50) were assessed by two independent coders. All searches were limited to the WoS Core Collection (pre-2025 publications).

Reuse & Interpretation:
Data supports the associated paper's findings and is reusable for:

Verification & Replication: Repeat tests on WoS or apply the framework to other databases.

Methodology Template: The Three-Tier Model offers a structured approach for evaluating "smart" search interfaces.

Information Literacy: Demonstrates practical limits of automated search tools.

Note: Result counts are a snapshot; behavioral patterns (e.g., wildcard failure) are stable design features.
DOI: 10.17632/kgccp7548m
title: Objective and Subjective iPhone Use in Relation to App usage, Risk of Addiction and Device Use Deprivation

description: The dataset contains information from 100 adult iPhone users who provided objective smartphone usage data recorded via the Apple iOS Screen Time feature over eight consecutive days, alongside self-report questionnaire data. Variables include demographic information (age and gender), perceived smartphone use volume, and objectively measured total and average daily smartphone use. The dataset further includes time spent in 12 predefined application usage categories as classified by Screen Time, as well as aggregated hedonic and utilitarian use indices derived from these categories. Self-report measures comprise the Smartphone Application-Based Addiction Scale (SABAS) and the Smartphone Deprivation Inventory, including both total scores and individual component scores. In addition, the dataset contains component-level indicators of smartphone addiction reflecting salience, mood modification, tolerance, withdrawal, conflict, and relapse. Together, these variables enable integrated analyses of objective smartphone behaviour, subjective use perceptions, application-level usage patterns, and psychological correlates related to addiction risk and deprivation.
DOI: 10.17632/kgccp7548m.1
title: Objective and Subjective iPhone Use in Relation to App usage, Risk of Addiction and Device Use Deprivation

description: The dataset contains information from 100 adult iPhone users who provided objective smartphone usage data recorded via the Apple iOS Screen Time feature over eight consecutive days, alongside self-report questionnaire data. Variables include demographic information (age and gender), perceived smartphone use volume, and objectively measured total and average daily smartphone use. The dataset further includes time spent in 12 predefined application usage categories as classified by Screen Time, as well as aggregated hedonic and utilitarian use indices derived from these categories. Self-report measures comprise the Smartphone Application-Based Addiction Scale (SABAS) and the Smartphone Deprivation Inventory, including both total scores and individual component scores. In addition, the dataset contains component-level indicators of smartphone addiction reflecting salience, mood modification, tolerance, withdrawal, conflict, and relapse. Together, these variables enable integrated analyses of objective smartphone behaviour, subjective use perceptions, application-level usage patterns, and psychological correlates related to addiction risk and deprivation.
DOI: 10.17632/tx74whwnny.1
title: Determinants of Debt Financing for China’s Listed Food Manufacturing Companies

description: This study uses annual data of Chinese listed food manufacturing companies from 2010 to 2024 as the research sample to systematically examine the determinants of firms’ debt financing costs. Given the industry characteristics of relatively stable production cycles, strong dependence on cash flows, and generally low profit margins, this paper adopts the cost of debt financing as the dependent variable and analyzes the financing effects of share repurchases from the perspective of creditors, focusing on the risk signals conveyed by repurchase activities.

The empirical analysis is conducted using panel regression models with province, firm, and year fixed effects. Heteroskedasticity is addressed by employing robust standard errors. To mitigate potential endogeneity concerns, multiple approaches are applied, including propensity score matching combined with fixed effects (PSM-FE), the Heckman two-stage model, lagged variable regressions, and instrumental variable (IV) estimation, thereby enhancing the reliability of the empirical results.

The main findings are as follows.
First, share repurchases are significantly negatively associated with the cost of debt financing, indicating that firms engaging in share repurchases are able to obtain debt financing at lower costs.
Second, mediation analysis reveals that share repurchases reduce debt financing costs by alleviating firms’ financing constraints, with financing constraints playing a significant mediating role in the relationship between share repurchases and debt financing costs.
Third, moderation analysis shows that cash holdings significantly strengthen the negative effect of share repurchases on debt financing costs. Specifically, for firms with higher cash holdings, share repurchases are more likely to be interpreted by creditors as credible signals of financial stability and sufficient cash flow.
Fourth, further heterogeneity analysis indicates that the debt cost–reducing effect of share repurchases is mainly concentrated among state-owned enterprises, large-scale firms, low-opportunism firms, and firms located in eastern regions of China.

Overall, the findings suggest that in the food manufacturing industry—a traditional manufacturing sector characterized by rigid cash flow requirements and stage-dependent operational risks—share repurchases are not only an important internal capital allocation tool, but also an effective mechanism for improving firms’ external financing conditions through signaling effects and the alleviation of financing constraints.
DOI: 10.17632/9bh5f7dgjn
title: Effectiveness of Remediation at Contaminated Sediment Sites Based on Measurements of Bioavailability: Testing a Conceptual Approach

description: Raw data files for "Effectiveness of Remediation at Contaminated Sediment Sites Based on Measurements of Bioavailability: Testing a Conceptual Approach"

Remediation of contaminated sediment sites is complex and expensive, critical to the restoration of damaged ecosystems, and essential to the reduction of threats to human health. Along with the challenges of remediating a contaminated site is determining if the remediation has been effective. In this investigation, the use of bioavailability-based metrics was evaluated as a tool for assessing remedial effectiveness. Metrics included surface water concentrations and bioaccumulation in proxy species. Following the identification, collection, and curation of relevant retrospective bioavailability metric datasets, statistical analyses were performed comparing pre-remediation and post-remediation time periods. Statistical analyses used (i) hypothesis testing to identify significant reductions in bioavailability and (ii) regression to assess significant negative slopes. Datasets from three Superfund sites were evaluated in this investigation: Lower Grasse River, New Bedford Harbor, and Stauffer Chemical Company. Both the Lower Grasse River and New Bedford Harbor demonstrated decreases in the bioavailability of total PCBs as the remediations proceeded. Remedial effectiveness was more apparent for the Lower Grasse River compared to New Bedford Harbor most likely because remediation at the former had been completed for several years while it was still on-going at the latter. In contrast, effectiveness of remediation at Stauffer Chemical Company was less obvious based on statistical analyses of the bioavailability metrics. We speculate this reflects the more complicated environmental behavior of mercury compared to PCBs. This preliminary use of retrospective datasets of bioavailability metrics from Superfund sites to assess remediation effectiveness has shown promising result and merits further evaluation at other sites. In addition, contaminants like PCBs appear to be good candidates with this approach while mercury may not be. Also, datasets with good temporal separation of the pre-remediation and the post-remediation time periods are better candidates for this approach.
DOI: 10.17632/9bh5f7dgjn.1
title: Effectiveness of Remediation at Contaminated Sediment Sites Based on Measurements of Bioavailability: Testing a Conceptual Approach

description: Raw data files for "Effectiveness of Remediation at Contaminated Sediment Sites Based on Measurements of Bioavailability: Testing a Conceptual Approach"

Remediation of contaminated sediment sites is complex and expensive, critical to the restoration of damaged ecosystems, and essential to the reduction of threats to human health. Along with the challenges of remediating a contaminated site is determining if the remediation has been effective. In this investigation, the use of bioavailability-based metrics was evaluated as a tool for assessing remedial effectiveness. Metrics included surface water concentrations and bioaccumulation in proxy species. Following the identification, collection, and curation of relevant retrospective bioavailability metric datasets, statistical analyses were performed comparing pre-remediation and post-remediation time periods. Statistical analyses used (i) hypothesis testing to identify significant reductions in bioavailability and (ii) regression to assess significant negative slopes. Datasets from three Superfund sites were evaluated in this investigation: Lower Grasse River, New Bedford Harbor, and Stauffer Chemical Company. Both the Lower Grasse River and New Bedford Harbor demonstrated decreases in the bioavailability of total PCBs as the remediations proceeded. Remedial effectiveness was more apparent for the Lower Grasse River compared to New Bedford Harbor most likely because remediation at the former had been completed for several years while it was still on-going at the latter. In contrast, effectiveness of remediation at Stauffer Chemical Company was less obvious based on statistical analyses of the bioavailability metrics. We speculate this reflects the more complicated environmental behavior of mercury compared to PCBs. This preliminary use of retrospective datasets of bioavailability metrics from Superfund sites to assess remediation effectiveness has shown promising result and merits further evaluation at other sites. In addition, contaminants like PCBs appear to be good candidates with this approach while mercury may not be. Also, datasets with good temporal separation of the pre-remediation and the post-remediation time periods are better candidates for this approach.
DOI: 10.15468/dl.6xbpjb
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cincinnobotrys felicis",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 4 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007911-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u7s8zr
title: Occurrence Download

description: A dataset containing 1984 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Drosera anglica, Drosera longifolia, Drosera longifolia, Drosera longifolia)",
 "Year is greater than or equal to 1900",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 1984 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007910-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/4wzr73mg5k
title: Contrasting Hg/C Relationship in Environmental Media Near Artisanal Gold Mining Sites in Guyana with those Observed at the Global Scale

description: Mercury (Hg) and carbon (C) data were derived from gold mine and clean sites in Guyana and globally synthesized studies. Patterns of Hg:C patterns in environmental media (foliage, leaf litter, soil, water, sediment) near artisanal gold mining sites in Guyana were compared with those observed globally (25 studies) to provide a greater understanding of Hg movement within the biosphere. Patterns of Hg:C ratios in environmental media were similar in Guyana and globally synthesized studies, but with much higher values close to gold mines compared with global average.
DOI: 10.17632/4wzr73mg5k.1
title: Contrasting Hg/C Relationship in Environmental Media Near Artisanal Gold Mining Sites in Guyana with those Observed at the Global Scale

description: Mercury (Hg) and carbon (C) data were derived from gold mine and clean sites in Guyana and globally synthesized studies. Patterns of Hg:C patterns in environmental media (foliage, leaf litter, soil, water, sediment) near artisanal gold mining sites in Guyana were compared with those observed globally (25 studies) to provide a greater understanding of Hg movement within the biosphere. Patterns of Hg:C ratios in environmental media were similar in Guyana and globally synthesized studies, but with much higher values close to gold mines compared with global average.
DOI: 10.17632/7yn5kc59mn.2
title: Discussion for Macron's speech and his expression facial

description: The following is a discussion and analysis of President Macron's speech and facial expressions in a video regarding the situation in Gaza. The video analysed was recorded before the New York Declaration in July 2025. This is because France still only supports Palestine diplomatically, not fully.

For the analysis, I use Brown and Levinson (1987) as a politeness theory for Macron's speech. For his expressions, I use Turchet (2009). Basically, this data analyzes the pragmatics and semiotics.
DOI: 10.17632/hsz94hjb64
title: From Nearctic to Indomalaya: systematics, biogeography, and monsoon-associated climatic trait evolution in true frogs Rana across the Eastern Palearctic

description: Past and present climates are prominent drivers of phylogeographic diversity and the evolution of ecological traits, especially for species distributed across latitudinal gradients. Subsequent to the ancient Holarctic true frogs (Rana spp.) dispersed out of Asia and into the Nearctic because of geological events, we provided evidences that evolution of the modern East Asian monsoon and climate variability since the Neogene period were the factors driving the present diversity of the genus in the Palearctic. Specifically, the resulting latitudinal climate diversity concurrently triggered the evolution of trait related to latitudinal range extent and adaptability of a subarctic Eurasian clade to overwintering. We integrated a meta-analysis and climatic variables in phylogenetic comparative methods, then merged quantitative taxonomy and multilocus phylogeography to: (i) track the evolutionary history of latitudinal ranges in Ranidae widespread across the Holarctic and Indomalayan realms, (ii) resolving the evolutionary diversifications of Rana distributed across the Palearctic (348 individuals sampled; 17 species and 52 localities). The phylogenetic signal and the ancestral character states demonstrated the significant association between annual precipitation and the homoplasy in the extend of latitudinal ranges in ranids. Specifically, the trait was prevalent among opportunistic species (e.g., Pelophylax ridibundus) and other Eurasian subarctic species (e.g., Rana amurensis, Rana dybowskii and Rana temporaria) c. 30.0 Mya, and accumulated in Nearctic ranids (e.g., Lithobates catesbeianus, Lithobates sylvaticus) c. 12.0 Mya. Paleogeographic models further provided support to the joint impact of the East Asian monsoon changes and Arctic oscillations on the diversification of three major stem lineages and repeated sub-radiations of East Asian Rana in central latitudes since 22.0 Mya. Finally, we demonstrated the dispersal of northern R. amurensis clades into the Siberian-subarctic c. 7.7 Mya, coinciding with warmer-than-today conditions of the Arctic in the Late Miocene, and exemplifying climate-induced gradual adaptation to the present extremely cold subarctic conditions.

**Version 4 of the dataset implemented the final species tree reflecting updated taxonomy within a total-evidence, population-level dating framework, integrating morphological characters with multilocus molecular data. Monsoon-associated climatic variables derived from ERA5 reanalysis layers (Hersbach et al., 2020; https://cds.climate.copernicus.eu) were incorporated and analysed comparatively using a truncated species tree to ensure consistent lineage representation.
DOI: 10.17632/hsz94hjb64.4
title: From Nearctic to Indomalaya: systematics, biogeography, and monsoon-associated climatic trait evolution in true frogs Rana across the Eastern Palearctic

description: Past and present climates are prominent drivers of phylogeographic diversity and the evolution of ecological traits, especially for species distributed across latitudinal gradients. Subsequent to the ancient Holarctic true frogs (Rana spp.) dispersed out of Asia and into the Nearctic because of geological events, we provided evidences that evolution of the modern East Asian monsoon and climate variability since the Neogene period were the factors driving the present diversity of the genus in the Palearctic. Specifically, the resulting latitudinal climate diversity concurrently triggered the evolution of trait related to latitudinal range extent and adaptability of a subarctic Eurasian clade to overwintering. We integrated a meta-analysis and climatic variables in phylogenetic comparative methods, then merged quantitative taxonomy and multilocus phylogeography to: (i) track the evolutionary history of latitudinal ranges in Ranidae widespread across the Holarctic and Indomalayan realms, (ii) resolving the evolutionary diversifications of Rana distributed across the Palearctic (348 individuals sampled; 17 species and 52 localities). The phylogenetic signal and the ancestral character states demonstrated the significant association between annual precipitation and the homoplasy in the extend of latitudinal ranges in ranids. Specifically, the trait was prevalent among opportunistic species (e.g., Pelophylax ridibundus) and other Eurasian subarctic species (e.g., Rana amurensis, Rana dybowskii and Rana temporaria) c. 30.0 Mya, and accumulated in Nearctic ranids (e.g., Lithobates catesbeianus, Lithobates sylvaticus) c. 12.0 Mya. Paleogeographic models further provided support to the joint impact of the East Asian monsoon changes and Arctic oscillations on the diversification of three major stem lineages and repeated sub-radiations of East Asian Rana in central latitudes since 22.0 Mya. Finally, we demonstrated the dispersal of northern R. amurensis clades into the Siberian-subarctic c. 7.7 Mya, coinciding with warmer-than-today conditions of the Arctic in the Late Miocene, and exemplifying climate-induced gradual adaptation to the present extremely cold subarctic conditions.

**Version 4 of the dataset implemented the final species tree reflecting updated taxonomy within a total-evidence, population-level dating framework, integrating morphological characters with multilocus molecular data. Monsoon-associated climatic variables derived from ERA5 reanalysis layers (Hersbach et al., 2020; https://cds.climate.copernicus.eu) were incorporated and analysed comparatively using a truncated species tree to ensure consistent lineage representation.
DOI: 10.17632/v568w97d9g
title: Groundwater Monitoring Data in Mangrove Wetlands

description: Groundwater Monitoring Data in Mangrove Wetlands in Zhuhai City.
DOI: 10.17632/v568w97d9g.1
title: Groundwater Monitoring Data in Mangrove Wetlands

description: Groundwater Monitoring Data in Mangrove Wetlands in Zhuhai City.
DOI: 10.17632/r93dfjvvv6.1
title: GoCJ: Google Cloud Jobs Dataset (Enhanced)

description: The GoCJ dataset is comprised of multiple files, where each file contains the sizes of a specified number of jobs expressed in Million Instructions (MI), derived from workload behaviors observed in Google cluster traces. The name of each file indicates the number of jobs it contains; for example, GoCJ_Dataset_1000 includes 1000 jobs along with their associated SLA classes and arrival times.

In this study, a modified version of the GoCJ dataset is employed. Each dataset file consists of three columns: (i) job length in terms of Million Instructions (MI), (ii) Service Level Agreement (SLA: {1, 2, 3}) , representing different levels of priorities and (iii) job arrival time, which captures realistic workload submission behavior.

The experimental evaluation is conducted using the following dataset files: GoCJ_Dataset_1000.csv, GoCJ_Dataset_2000.csv, GoCJ_Dataset_3000.csv, GoCJ_Dataset_4000.csv, GoCJ_Dataset_5000.csv, and GoCJ_Dataset_6000.csv, enabling performance analysis under increasing workload scales.
DOI: 10.17632/cf8cm8z359
title: South Africa Shebeen Data Set

description: STATA file on Shebeen patron characteristics for healthcare screening and substance use. including socioeconomic data, alcohol (ADUIT test), tobacco, dagga use, and healthcare screenings for hypertension, diabetes, rapid HIV testing, and WHO TB question screening. This was gathered in rural KwaZulu Natal, South Africa from 2018-2019 in the city of Msinga at 150 different shebeen sites.
DOI: 10.17909/pwcq-eb24
title: TESS SPOC TRAPPIST-1

description: TESS SPOC 120-second cadence data for TRAPPIST-1, Sector 70.
DOI: 10.17632/cf8cm8z359.1
title: South Africa Shebeen Data Set

description: STATA file on Shebeen patron characteristics for healthcare screening and substance use. including socioeconomic data, alcohol (ADUIT test), tobacco, dagga use, and healthcare screenings for hypertension, diabetes, rapid HIV testing, and WHO TB question screening. This was gathered in rural KwaZulu Natal, South Africa from 2018-2019 in the city of Msinga at 150 different shebeen sites.