Find research datasets worth reusing

opencc-by-4.0Oct 2024View details →

The relation between childhood experiences and manifestations of borderline personality disorder. The mediating role of dissociative experiences and the moderating role of invalidating environment

The aim of the present study is to identify the relationships between adverse, as well as benevolent childhood experiences and specific manifestations of borderline personality disorder. We also explored the mediating role of dissociative experiences and the moderating role of parental invalidating environment in the relation between adverse, respectively benevolent childhood experiences, and specific manifestations of borderline personality disorder.

opencc-by-4.0Jul 2024View details →

SF-CMT catalog of moderate-to-large earthquakes at Japan Trench subduction zone

The CMT solutions are obtained in “Impact of offshore seismograph network and 3-D seismic velocity structure model on centroid moment tensor analysis for offshore earthquake: Application to the Japan Trench subduction zone” by Lina Yamaya, Hisahiko Kubo, Katsuhiko Shiomi, and Shunsuke Takemura. <ul> <li>Earthquakes at the Japan Trench subduction zone</li> <li>April 1, 2017 to March 31, 2024</li> <li>Mw of 5.2–7.0</li> </ul> Data format: YYYY-MM-DD (JMA origin at JST), time (JMA origin at JST),  YYYY-MM-DD (JMA origin at UTC), time (JMA origin at UTC], longitude, latitude, depth, Mrr, Mtt, Mff, Mrt, Mrf, Mtf (Nm), time shift, variance reduction, Mw The centroid times of the SF-CMT and F-CMT solutions can be obtained by adding the time shift to the JMA origin time (columns 1 and 2, or 3 and 4). "SFCMT.zip" and "FCMT.zip" files include SF-CMT and F-CMT solutions for the earthquakes and station lists.   Manuscript DOI: <a href="https://doi.org/10.1029/2024JB029944">10.1029/2024JB029944</a> For more information, please contact the creator.

opencc-by-4.0Sep 2024View details →

Service Level Anchoring in Demand Forecasting: The Moderating Impact of Retail Promotions and Product Perishability

This dataset is used for the working paper "Service Level Anchoring in Demand Forecasting: The Moderating Impact of Retail Promotions and Product Perishability," authored by Fahimnia, Tan, and Tahirov. The data was collected during a laboratory experiment designed based on data from a real case in the fast-moving consumer goods (FMCG) industry. Each subject was assigned to one of the following treatment groups: <ul> <li>T1 - forecasts were made for a nonperishable product (shelf life of 9 months), with no service level information.</li> <li>T2 - forecasts were made for a perishable product (shelf life 1 day), with no service level information.</li> <li>T3 - forecasts were made for a nonperishable product, with a high service level information.</li> <li>T4 - the forecasts were still for a nonperishable product, with a lower service level information.</li> <li>T5 - forecasts were made for a perishable product, with high service level information.</li> <li>T6 - forecasts were made for a perishable product, with low service level information.</li> </ul> A total of 368 subjects prepared four forecasts each. For each forecast, a subject was provided with 30 weeks of sales data, including both normal and promotional weeks. The promotional weeks were highlighted as "Promo." The subjects were asked to provide their forecasts for week 31, basing their forecasts solely on historical data and potential sales promotions. Mean absolute percentage error (MAPE) was used to assess the accuracy of the forecasts. Percentage forecast bias was used to measure the deviation of adjusted forecasts from the normative benchmark forecast. The dataset includes four Excel files, two code script files, and a README file: 1. Excel files 1 and 2:  "database_analysis.xlsx": Contains average adjusted forecasts for each subject during both promotional and non-promotional periods, along with demographic information, calculated MAPE, forecast bias, service level, and product perishability. This file is used as input data in the "data_cleaning.R" script. "database_plot.xlsx": This Excel file contains a compact and cleaned version of the data from the first file, excluding outliers, and was used to create visuals such as boxplots. 2. Excel Files 3 and 4: "Pool_1_Perishable.xlsx" and "Pool_2_Non_Perishable.xlsx": Contain real datasets for perishable and non-perishable products used in the experiment. 3. Code Script File: "data_cleaning.R": This script performs data pre-processing by cleaning and transforming the dataset. "analysis.R": This script loads the cleaned data and performs statistical analysis, including ANOVA and hypothesis testing.

opencc-by-4.0Aug 2024View details →

The relation between deviation from the balanced time perspective and quality of life among older people. The mediating role of death anxiety and the moderating role of awareness of aging

Objectives. In the current study, one of the objectives was to check if the deviation from a balanced time perspective (DBTP) is a predictor of the quality of life of the elderly. Another objective investigated whether awareness of aging is a moderator and death anxiety a mediator of the relationship between PTSD and quality of life. Method. 436 elderly people participated in this research (M = 68.27; SD= 6.56; 66.7% female, 33.3% male). They completed 4 instruments to evaluate the variables included in the study: World Health Organization Quality of Life, Zimbardo Time Perspective Inventory - Short version, Death Anxiety Scale and Awareness of Age-Related Change 10-Item Short Form (awareness of aging). Results. Statistical analyzes highlighted the fact that DBTP is not a predictor of quality of life, but it can positively predict death anxiety. Also, awareness of aging does not moderate the relationship between DBTP and quality of life. Finally, death anxiety negatively predicts quality of life, but also mediates the relationship between DBTP and quality of life. Discussion. This study brought to the fore some concepts less addressed in the case of the elderly population in Romania, which could lead to the identification of some benefits for improving the quality of life of the elderly. Starting from the conclusions obtained, promotion and intervention plans can be developed to improve mental and physical health services. The inclusion process of the elderly in as many social activities as possible can also be considered.

opencc-zeroNov 2019View details →

Odors of non-predatory species help prey moderate their risk assessment

<ol> <li>Prey use contemporary information to update their risk estimation, and accordingly, optimize their anti-predator reactions. Conceptualization of this process is largely focused on information that reflects predator activity. We aimed to complement this unilateral view by testing whether prey also use cues of non-predatory species to update their risk perception. </li> <li>We focused our investigation on the desert isopod Hemilepistus reaumuri that reacts defensively to excavated soil mounds, even in the absence of direct predator cues. We located in the field 18 isopod burrows and surrounded each with six soil mounds. One mound remained odorless, and the other five were supplemented with odors of a major isopod predator, the golden scorpion, and four sympatric species that do not prey on isopods, but excavate soil. </li> <li>Isopods augmented their defensive responses toward mounds supplemented by scorpion odors and lessened their anti-predator reactions toward mounds with odors of herbivore rodents. Isopods' responses to the odors of the two insectivorous species that do not eat isopods were similar to the reaction towards the odorless control mounds. </li> <li>Our results suggest that prey use non-predatory species cues to moderate their risk estimation. Therefore, we need to consider this potentially important source of information in studies of predator-prey interactions. Our findings also indicate cues of non-predatory species may not be adequate as control treatments to predator cues.</li> </ol>

opencc-zeroDec 2018View details →

Data from: Effects of landscape complexity on pollinators are moderated by pollinators' association with mass-flowering crops

Conserving and restoring semi-natural habitat, i.e. enhancing landscape complexity, is one of the main strategies to mitigate pollinator decline in agricultural landscapes. However, we still have limited understanding of how landscape complexity shapes pollinator communities in both crop and non-crop habitat, and whether pollinator responses to landscape complexity vary with their association with mass-flowering crops. Here, we surveyed pollinator communities on mass-flowering leek crops and in nearby semi-natural habitat in landscapes of varying complexity. Surveys were done before and during crop bloom and distinguished between pollinators that visit the crop frequently (dominant), occasionally (opportunistic) or not at all (non-crop). Forty-four percent of the species in the wider landscape were also observed on leek flowers. Crop pollinator richness increased with local pollinator community size and increasing landscape complexity, but relationships were stronger for opportunistic than for dominant crop pollinators. Relationships between pollinator richness in semi-natural habitats and landscape complexity differed between groups with the most pronounced positive effects on non-crop pollinators. Our results indicate that while dominant crop pollinators are core components of crop pollinator communities in all agricultural landscapes, opportunistic crop pollinators largely determine species-richness responses and complex landscapes are local hotspots for both biodiversity conservation and potential ecosystem service-provision.

opencc-by-4.0Jan 2021View details →

Volitional Action Control and Depression in Chronic Pain: Does Action versus State Orientation Moderate the Relations of Pain-Related Cognitions to Depression?

The rationale of this study was to better understand the interplay between content- and function-focused variables that are assumed to contribute to depression due to motivational and volitional deficits. Therefore, we stepwise examined the conditional indirect and direct relations of pain-related cognitions to depression. Subjective helplessness was included as presumably mediating the relations of catastrophizing and thought suppression to depression due to motivational deficits. In addition, moderating effects of dispositional action versus state orientation were analyzed, whereby state orientation indicates volitional deficits in coping with distress. The data acquisition for this project was funded by the German Pension Insurance (Deutsche Rentenversicherung Bund) and the Federal Ministry of Education and Research (BMBF) within the research priority “Chronic diseases and patient orientation” - Grant number: 0421-FSCP-0529.

opencc-by-4.0Sep 2021View details →

Do Platform Migrations Compromise Content Moderation? Evidence from r/The_Donald and r/Incels

Documentation and auxiliary code available at: <a href="https://github.com/epfl-dlab/platform_bans">https://github.com/epfl-dlab/platform_bans</a>

opencc-zeroDec 2022View details →

Data from: Density-dependent dispersal strategy of pollinator moderates the adverse effect of habitat loss on plant reproduction

1. Major challenges for plant conservation are predicting the effect of habitat loss on pollination success and plant reproduction potential. Most studies report that pollinator movement is affected by quantitative and spatial characteristics of landscapes. However, little is known about the role of pollinator movement, impacted by floral volatiles and intraspecies interaction, on plant reproduction in fragmented landscapes. 2. To clarify the effect of pollinator movement on plant reproduction relative to habitat loss, we developed an integrated model incorporating pollinator's foraging response with its dispersal process mediated by a density-dependent dispersal (DDD) strategy. This model performed better in capturing behaviorals response of pollinators than do current methods. The integrated model was verified with field results of pollinator visitation and plant reproduction of saltcedar (Tamarix chinensis) inhabiting the Yellow River Delta, and then was compared against a dispersal strategy called density-independent dispersal (DID). The model was applied to landscapes with various non-habitat percentage (NHP) to explore the effect of habitat loss on plant reproduction. 3. Results suggested that saltcedar populations differ in their responses to habitat loss, which depended on the spatial scales considered. At landscape scale, increasing NHP significantly inhibited the dispersion extent of floral volatiles and therefore reduced pollinator visitation and subsequent seed production, especially when NHP exceeded the critical threshold of 0.6. However, at patch scale, comparing with DID strategy, the DDD strategy enabled pollinators to increase their utilization of flowers by 43.42% and 6.79% in low-density and distant plant patches, whereas their utilization was reduced by 7.75% and 2.24% in high-density and central patches, respectively. Plant reproduction was improved correspondingly in low-density and distant patches under different NHPs. 4. Consequently, habitat loss inhibits the volatiles dispersion and interferes with the foraging success of pollinators, a major factor influencing plant reproduction at landscape scale. At patch scale, adaptive utilization of pollinators exhibiting DDD strategy alleviates the negative effect of habitat loss on plant production and maintains plant population persistence. Since pollinator behavioral response is critical to plant reproduction, we recommend the use of the here-presented integrated model to assess the impact of habitat loss on plant reproduction.

opencc-by-4.0Feb 2023View details →

Keep talking, I need to check my phone! Online Vigilance and Phubbing: The Mediating Role of Loneliness and the Moderating Role of Moral Disengagement

In the present study, we investigated the relationship between online vigilance and phubbing, a specific form of technoference that implies ignoring someone while favoring technological, Internet-based devices, such as smartphones.

opencc-by-4.0May 2023View details →

Short-Term Effects of Moderate Severity Disturbances on Forest Canopy Structure- Derived Data

NEON plot-level derived tables used in this study. All the derived data were openly available from The National Science Foundation's National Ecological Observatory Network (NEON). <ul> <li>01: R codes for 01) LiDAR-derived canopy metrics calculation; 02) Modelling</li> <li>02: Input ground survey data with removed duplicate rows (tree_rm_duplicates.csv); CSV files - NEON vegestructure data (disturbance_structural_diversity_data_2022_1109_den4.csv)</li> </ul> All NEON’s Discrete return LiDAR point cloud (DP1.30003.001) (NEON 2021a) and Vegetation structure (DP1.10098.001) (NEON 2022) data are available on NEON data portal as follows: <a href="https://data.neonscience.org/data-products/DP1.30003.001">https://data.neonscience.org/data-products/DP1.30003.001</a> (<a href="https://doi.org/10.48443/6E8K-3343">https://doi.org/10.48443/6E8K-3343</a>), and <a href="https://data.neonscience.org/data-products/DP1.10098.001/RELEASE-2022">https://data.neonscience.org/data-products/DP1.10098.001/RELEASE-2022</a> (<a href="https://doi.org/10.48443/RE8N-TN87">https://doi.org/10.48443/RE8N-TN87</a>), respectively. R scripts for calculating canopy metrics (Hardiman et al. 2021) are available on Environmental Data Initiative (EDI): <a href="https://doi.org/10.6073/pasta/97f8092c10aecbc62aec12557ecb52bd">https://doi.org/10.6073/pasta/97f8092c10aecbc62aec12557ecb52bd</a>   Reference <ul> <li>Hardiman, B.S., E.A. LaRue, J.R. Foster, R. Fahey, and J. Hatala Matthes. 2021. Forest structural diversity at NEON sites in the continuous USA that experienced recent moderate disturbance ver 1. Environmental Data Initiative. https://doi.org/10.6073/pasta/97f8092c10aecbc62aec12557ecb52bd (Accessed 2023-05-24).</li> <li>NEON. 2021a. Discrete return LiDAR point cloud (DP1.30003.001). National Ecological Observatory Network (NEON). doi: <a href="https://doi.org/10.48443/6E8K-3343">https://doi.org/10.48443/6E8K-3343</a>.</li> <li>NEON. 2022. Vegetation structure (DP1.10098.001). National Ecological Observatory Network (NEON). doi: <a href="https://doi.org/10.48443/RE8N-TN87">https://doi.org/10.48443/RE8N-TN87</a>.</li> </ul>

opencc-zeroJul 2023View details →

Data from: Long term monitoring reveals the importance of large, long unburnt areas and smaller fires in moderating mammal declines in fire-prone savanna of northern Australia

Biodiversity loss is often attributable to multiple interacting pressures that are moderated across environmental gradients. These processes contribute to complex responses that are challenging to interpret and understand. Well-designed and well-implemented monitoring can play a vital role in this but is rarely undertaken. Mounting evidence suggests that current fire regimes across savanna ecosystems have contributed to the decline of a range of biota. Hence, contemporary fire regimes are at odds with conservation goals. Using an extensive spatio-temporal monitoring dataset from three large National Parks in northern Australia, we applied generalised linear mixed models to examine: 1) trends in mammal richness and abundance through time and how these vary across environmental gradients such as productivity or landscape position (e.g., terrain ruggedness); and 2) how fire, a potential driver, is moderated by environmental gradients. Across 24-years, major declines in mammal richness and abundance were observed with greater reductions in less rugged and less mesic habitats. Patterns of decline were related to multiple aspects of fire regimes, but not changes in vegetation structure and composition, or the arrival of Cane Toads Rhinella marina and concomitant poisoning of predatory animals during consumption. More pronounced declines occurred in sites that were exposed to larger fires, had less long unburnt (5 years without fire) vegetation, and were more distant from large, long unburnt patches. Relationships between mammal persistence and fire varied among vegetation communities, with the strongest fire effects observed in lowland woodland – relatively drier with few barriers to fire spread – where the availability of long unburnt areas moderated declines more than in other vegetation communities. Synthesis and applications. Current fire regimes are contributing to mammal declines in northern Australian savanna. Collectively, our results highlight: 1) the value of long term monitoring, and importance of considering landscape position when assessing faunal responses to landscape-level perturbations like fire; 2) that significant improvements in fire regimes are required to ameliorate mammal declines; and 3) the need to shift management focus from retaining small, short-lived unburnt patches towards preserving relatively large contiguous areas of long unburnt habitat, particularly in less rugged lowland and sandstone woodlands.

opencc-by-4.0Aug 2023View details →

Gut microbiota as mediator and moderator between hepatitis B virus and hepatocellular carcinoma

A STORMS (Strengthening The Organizing and Reporting of Microbiome Studies) checklist is available here.

Fig. 3 in Transcriptome and metabolome profiling unveiled mechanisms of tea (Camellia sinensis) quality improvement by moderate drought on pre-harvest shoots

Fig. 3. Transcriptome analysis of DEGs. (A) Venn diagram of DEGs. (B–D) Biological processes of corresponding DEGs related to differentially accumulated metabolites in groups of CK vs. MI, CK vs. MO, and CK vs. SE.

Fig. 1 in Transcriptome and metabolome profiling unveiled mechanisms of tea (Camellia sinensis) quality improvement by moderate drought on pre-harvest shoots

Fig. 1. Metabolomic analysis of differentially accumulated metabolites. (A) Venn diagram of differentially accumulated metabolites. (B) The top five most abundant categories. A, amino acids and derivatives; F, flavonoids; N, nucleotide and derivatives; L, lipids; O, organic acids. Blue dot, categories with less metabolites. (C) Accumulation tendencies of the five categories under diferent SWCs.. CK, control (21–24% SWC); MI, milder drought (15–18% SWC); MO, moderate drought (12–15% SWC); SE, severe drought (9–12% SWC). (D) KEGG enrichment of group CK vs. MI from metabolic data. (E) KEGG enrichment of group CK vs. MO from metabolic data. (F) KEGG enrichment of group CK vs. SE from metabolic data. Plot: mean with standard deviation (SD). (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)

Fig. 6 in Transcriptome and metabolome profiling unveiled mechanisms of tea (Camellia sinensis) quality improvement by moderate drought on pre-harvest shoots

Fig. 6. Regulation of lipid metabolisms under different SWCs. (A) Phospholipid metabolism, glycerolipid metabolism, and fatty acid biosynthesis, and the expression tendencies of corresponding differentially accumulated lipids. (B) Connection network of 16 DEGs and 30 differentially accumulated lipids according to PCC> 0.9. Blue dots indicate DEGs, and pink dots denote closely correlated lipids. Colors from green to red in heatmaps represent the relative expression patterns of DEGs; colors from blue to pink represent the accumulated pattern of related metabolites. The compounds index in A and B are referred to in Supplementary Table S6-1. CK, control; MI, mild drought; MO, moderate drought; SE, severe drought. ADH3, alcohol dehydrogenase 3; AFP1-like, ninja-family protein AFP1-like; ALA2_like, phospholipid-transporting ATPase 2; AOS, allene oxide synthase; CIPK5-like, CBL-interacting protein kinase 5-like; DAD1, phospholipase A(1) DAD1; DGK7-like, diacylglycerol kinase 7-like; GDSL-1, GDSL esterase/lipase At5g33370-like; GDSL-2, GDSL esterase/lipase At4g26790-like; GDSL-3, GDSL esterase/lipase 1-like; GDSL-4, GDSL esterase/lipase At1g33811; KCS-12/19-like, 3-ketoacyl-CoA synthase 12/19-like; LTP1-like, non-specific lipid-transfer protein 1-like; MGLL, caffeoylshikimate esterase-like, the isozyme gene of monoglyceride lipase; MTACP, acyl carrier protein; PL A1-Ibeta2, phospholipase A1-Ibeta2; PLD1-like, phospholipase D alpha 1-like. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)

Fig. 5 in Transcriptome and metabolome profiling unveiled mechanisms of tea (Camellia sinensis) quality improvement by moderate drought on pre-harvest shoots

Fig. 5. Underlying regulation of flavonoid biosynthesis under different SWCs. (A) Expressions of differentially accumulated flavonoids. (B) Underlying regulation mechanism of flavonoid biosynthesis pathway. (C) Connection network of 11 DEGs and 32 differentially accumulated flavonoids according to PCC> 0.9. Blue dots indicate DEGs, and pink dots denote flavonoids. In B and C, the colors from green to red in the heatmap show the relative expression pattern of DEGs, and the colors from blue to pink represent the relative accumulated pattern of closely related metabolites. The compounds index in A and C are referred to in Supplementary Tables S5-1. CK, control; MI, mild drought; MO, moderate drought; SE, severe drought. ANR, anthocyanidin reductase; ANS, anthocyanidin synthase; AS-like, hydroquinone glucosyltransferase-like; C, catechin; DFR, dihydroflavonol 4-reductase; EC, epicatechin; ECG, epicatechin gallate; EGCG, epigallocatechin gallate; FLS, flavonol synthase/flavanone 3-hydroxylase; GC, gallocatechin; LAR, leucoanthocyanidin reductase; PKSB, type III polyketide synthase B; UFGT, anthocyanidin 3-Oglucosyltransferase; UGT83A1, UDP-glycosyltransferase 83A1; UGT94P1, beta-D-glucosyl crocetin beta-1,6-glucosyltransferase-like. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)

Fig. 4 in Transcriptome and metabolome profiling unveiled mechanisms of tea (Camellia sinensis) quality improvement by moderate drought on pre-harvest shoots

Fig. 4. Levels of quality-associated compounds for different SWCs. (A) Total differentially accumulated flavonoids, isoflavonoids, and C- and O- glycosylflavonoids. (B) Levels of catechins, theanine, and theobromine. (C) Levels of glycerophospholipids, glycerolipids, and fatty acids. Plot: mean with SD.