cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5061/dryad.j3tx95xk3
title: Large-antlered muntjac (Muntiacus vuquangensis) camera-trap photos from Virachey NP, Cambodia

description: We present evidence of scent marking in the large-antlered muntjac
 (Muntiacus vuquangensis). Given the importance of scent marking in
 individual recognition among ungulates, this behavior may serve to
 communicate the fitness cost of antagonistic interactions among rival
 males and could serve as a mechanism for mate assessment among females.
description: This data comes from a camera trap that was set in Virachey
 National Park, Cambodia.
DOI: 10.5061/dryad.kprr4xh85
title: Data for: Roots originating from different shoot parts are functionally different in running bamboo, Phyllostachys glauca

description: Running bamboos are a group of clonal plants exhibiting rapid and
 widespread expansion. They possess two root subsystems, arising from
 different shoot parts, culm roots and rhizome roots. To date, it remains
 unclear what the functional differences are between the two root
 subsystems and what their relation is to the remarkably competitive
 ability of running bamboos. A typical running bamboo, Phyllostachys
 glauca, which dominates in a highly heterogenous habitat of limestone
 hills, was sampled to compare the morphology, architecture, anatomy,
 chemical composition, mechanics, and nutrient acquisition of the two root
 subsystems to explore their differences in functional traits. Compared
 with rhizome roots, culm roots possessed greater tensile strength, modulus
 of elasticity, stele diameter to root diameter ratio, root tissue density,
 root length density, rooting depth, basal diameter of shoot-borne roots,
 and more lignified cells. Culm roots also had a higher phosphorus (P)
 concentration (&gt;0.4 mg g-1), which was nearly twice that of rhizome
 roots. By contrast, rhizome roots exhibited a greater specific root area,
 specific root length, cortex thickness to root radius ratio, total branch
 order, and greater P-uptake capacity than culm roots. Our findings
 revealed distinct differences in functional traits between culm roots and
 rhizome roots in P. glauca. Culm roots are considered to primarily provide
 anchorage, but also function in resource acquisition and nutrient storage,
 while rhizome roots mainly play a role in resource acquisition. Except for
 the anchorage and resource acquisition of culm roots, the extra resource
 acquisition by rhizome roots and the high concentration of a limiting
 nutrient (P) in culm roots enhance the performance in a highly
 heterogenous habitat which offers a physiological explanation for P.
 glauca dominating on limestone hills. The functional differentiation
 between culm roots and rhizome roots provides insight into the mechanism
 underpinning the remarkable expansion of running bamboos and offers a new
 perspective to explain the strong competitive ability of clonal plants
 with dimorphic roots.
DOI: 10.6084/m9.figshare.30401455
title: <b>Anthropogenic Activities Drive a Persistent Rise in Global Terrestrial Phosphorus Deposition</b>

description: Here, we integrated a detailed P emission inventory with atmospheric chemistry transport modeling and a spatiotemporal mass-conserving downscaling approach to estimate terrestrial P deposition at 0.1ºresolution during 2000-2019.
DOI: 10.6084/m9.figshare.30401455.v2
title: <b>Anthropogenic Activities Drive a Persistent Rise in Global Terrestrial Phosphorus Deposition</b>

description: Here, we integrated a detailed P emission inventory with atmospheric chemistry transport modeling and a spatiotemporal mass-conserving downscaling approach to estimate terrestrial P deposition at 0.1ºresolution during 2000-2019.
DOI: 10.5061/dryad.q573n5tnp
title: Tidal channel meanders serve as stepping-stones to facilitate cordgrass landward spread by creating invasion windows

description: Understanding the mechanisms by which geomorphic structures affect habitat
 invasibility by mediating various abiotic and biotic factors is essential
 for predicting whether these geomorphic structures may provide spatial
 windows of opportunity to facilitate range-expansion of invasive species
 in salt marshes. Many studies have linked geomorphic landscape features
 such as tidal channels to invasion by exotic plants, but the role of tidal
 channel meanders (i.e., convex and concave sides) in regulating the
 Spartina invasion remains unclear. Here, we examined the combined effects
 of tidal channel meander-mediated hydrodynamic variables, soil abiotic
 stresses and propagule pressure on the colonization of Spartina in the
 Yellow River Delta, China, by conducting field observations and
 experiments. The results showed that lower hydrodynamic disturbance, bed
 shear stress, and higher propagule pressure triggered by eddies due to the
 convex structure of channel meanders facilitated Spartina seedling
 establishment and growth, whereas the concave side considerably inhibited
 the Spartina invasion. Lower soil abiotic stresses also significantly
 promoted the invasibility of the channel meanders by Spartina. Based on
 these findings, we propose a conceptual framework to illustrate the
 effects of the meandering geomorphology of tidal channels on the
 mechanisms that might allow the landward spread of Spartina and related
 processes. Our results demonstrate that the meandering geomorphic
 structures of tidal channels could act as stepping-stones to significantly
 facilitate the landward invasion of Spartina along tidal channels. This
 implies that geomorphic characteristics of tidal channels should be
 integrated into invasive species control and salt marsh management
 strategies.
description: This dataset includes the data obtained from the field survey and
 experiments to reproduce the analyses of the following paper: Ning et al.
 Tidal channel meanders serve as stepping-stones to facilitate cordgrass
 landward spread by creating invasion windows.
DOI: 10.6084/m9.figshare.30401455.v1
title: <b>Anthropogenic Activities Drive a Persistent Rise in Global Terrestrial Phosphorus Deposition</b>

description: Here, we integrated a detailed P emission inventory with atmospheric chemistry transport modeling and a spatiotemporal mass-conserving downscaling approach to estimate terrestrial P deposition at 0.1ºresolution during 2000-2019.
DOI: 10.5061/dryad.vmcvdncxg
title: Wildlife documentaries present a diverse, but biased, portrayal of the natural world

description: 1. Wildlife-documentary production has expanded over recent decades, while
 studies report reduced direct contact with nature. The role of
 documentaries and other electronic content in educating people about
 biodiversity is therefore likely to be growing increasingly important.
 This study investigated whether the content of wildlife documentaries is
 an accurate reflection of the natural world and whether conservation
 messaging in documentaries has changed over time. 2. We sampled an online
 film database (n = 105) to quantify the representation of taxa and
 habitats over time, and compared this with actual taxonomic diversity in
 the natural world. We assessed whether the precision with which an
 organism could be identified from the way it was mentioned varied between
 taxa or across time, and whether mentions of conservation and
 anthropogenic impacts on the natural world changed over time. 3. Mentions
 of organisms (n = 374) were very biased towards vertebrates (81.1% of
 mentions) relative to invertebrates (17.9% of mentions), despite
 vertebrates representing only 3.4% of described species, compared to 74.9%
 for invertebrates. Mentions were highly variable across groups and between
 time periods, particularly for insects, fish and reptiles. Plants had a
 consistently low representation across time periods. 4. A range of
 habitats was represented, the most common being tropical forest and the
 least common being deep ocean, but there was no change over time. 5.
 Mentions identifiable to species were significantly different between
 taxa, with 41.8% of mentions of vertebrates identifiable to species
 compared with just 7.5% of invertebrate mentions and 10% of plant
 mentions. This did not change over time. 6. Conservation was mentioned in
 16.2% of documentaries overall but in almost 50% of documentaries in the
 current decade. Anthropogenic impacts were mentioned in 22.1% of
 documentaries and never before the 1970s. 7. Our results show that
 documentaries provide a diverse picture of nature with an increasing focus
 on conservation, with likely benefits for public awareness. However, they
 overrepresent vertebrate species, potentially directing public attention
 towards these taxa. We suggest widening the range of taxa featured to
 redress this and call for a greater focus on threats to biodiversity to
 improve public awareness.
DOI: 10.17632/ztb4vd256g
title: Deacetylation of SRF catalyzed by SIRT7 protects against abdominal aortic aneurysm formation
DOI: 10.17632/ztb4vd256g.1
title: Deacetylation of SRF catalyzed by SIRT7 protects against abdominal aortic aneurysm formation
DOI: 10.5061/dryad.jq2bvq8d9
title: Scaling up gas and electric cooking in low- and middle-income countries: Climate threat or mitigation strategy with co-benefits?

description: Nearly three billion people in low- and middle-income countries
 (LMICs) rely on polluting fuels, resulting in millions of avoidable deaths
 annually. Polluting fuels also emit short-lived climate forcers and
 greenhouse gases (GHGs). Liquefied petroleum gas (LPG) and grid-based
 electricity are scalable alternatives to polluting fuels but have raised
 climate and health concerns. Here, we compare emissions and climate
 impacts of a business-as-usual household cooking fuel trajectory to four
 large-scale transitions to gas and/or grid electricity in 77
 LMICs. We account for upstream and end-use emissions from gas and
 electric cooking, assuming electrical grids evolve according to the 2022
 World Energy Outlook’s “Stated Policies” Scenario. We input the emissions
 into a reduced-complexity climate model to estimate radiative forcing and
 temperature changes associated with each scenario. We find full
 transitions to LPG and/or electricity decrease emissions from both
 well-mixed GHG and short-lived climate forcers, resulting in a roughly 5
 millikelvin global temperature reduction by 2040. Transitions to
 LPG and/or electricity also reduce annual emissions of PM2.5 by
 over 6 Mt (99%) by 2040, which would substantially lower health risks from
 Household Air Pollution.
description: Primary input data was collected from the following
 sources: Baseline household fuel choices -
 WHO household energy database (https://www.nature.com/articles/s41467-021-26036-x) End-use emissions - US EPA lifecycle assessment of household fuels (https://cfpub.epa.gov/si/si_public_record_report.cfm?dirEntryId=339679&Lab=NRMRL&simplesearch=0&showcriteria=2&sortby=pubDate&timstype=Published+Report&datebeginpublishedpresented)  Upstream emissions - Argonne National Labs GREET Model (https://greet.es.anl.gov/index.php) Current and future population estimates - UNECA (http://data.un.org/Explorer.aspx?d=EDATA) Input data was processed by defining household fuel choice scenarios, estimating national household fuel consumption based on these scenarios, and applying fuel-specific emission factors to create country-specific emission pathways. These emission pathways were input into the FaIR model (https://zenodo.org/record/5513022#.Yt_jfHbMLb0) which generated additional data for each scenario including time series of pollution concentrations, radiative forcing, and temperature changes.  
description: All data is provided in CSV format. Nothing proprietary is
 required.
DOI: 10.5281/zenodo.13758932
title: [Replication Package] Evaluating the Impact of Post-Training Quantization on Large Language Models for Code Generation

description: This repository contains scripts, datasets, and results of the work "Evaluating the Impact of Post-Training Quantization on Large Language Models for Code Generation"

Scripts contained in this Zenodo repository can also be visualized at the following link: https://github.com/Devy99/quantization-study
DOI: 10.15468/dl.z7fvzu
title: Occurrence Download

description: A dataset containing 6992 records in GBIF matching the query:
SELECT
 '458' AS fish_cell,
 GBIF_MGRSCode(1000, decimalLatitude, decimalLongitude, 0) AS cell, -- NO randomization
 COUNT(DISTINCT speciesKey) AS species_richness
 FROM occurrence
 WHERE hasCoordinate = TRUE
 AND speciesKey IS NOT NULL
 AND NOT ARRAY_CONTAINS(issue, 'ZERO_COORDINATE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_OUT_OF_RANGE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_INVALID')
 AND NOT ARRAY_CONTAINS(issue, 'COUNTRY_COORDINATE_MISMATCH')
 AND decimalLatitude &gt;= 41.89415215079384
 AND decimalLatitude &lt;= 46.479780028101516
 AND decimalLongitude &gt;= 137.86371930433822
 AND decimalLongitude &lt;= 151.065554203109
 AND "year" &gt;= 2015
 AND "year" &lt;= 2026
 AND (coordinateUncertaintyInMeters &lt;= 100 OR coordinateUncertaintyInMeters IS NULL)
 GROUP BY fish_cell, cell

 The dataset's 6992 records were derived from 153 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002842-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5061/dryad.r7sqv9sh3
title: Global and local drivers of the relative importance of allochthonous and autochthonous energy sources to freshwater food webs

description: Resource quantity (i.e., organic matter; OM) is a main driver of the
 prevailing energy pathway in freshwater food webs. The OM pool is mainly
 composed of allochthonous material, a primary resource for freshwater
 consumers. Contrastingly, small amounts of autochthonous OM (i.e., algae)
 can subsidize aquatic communities due to its higher nutritional quality.
 To date, there is no consensus about the relative importance of
 allochthonous and autochthonous OMs for freshwater food webs or the
 environmental factors driving their relative importance. We fill this gap
 by evaluating the relative importance of allochthonous and autochthonous
 OM sources for freshwater food webs on a global scale through a
 meta-analytical approach. We gathered the outcome of stable isotope mixing
 models of 2,789 cases from 58 published studies and calculated a response
 ratio between the mean contributions of allochthonous and autochthonous OM
 for freshwater consumers. Using mixed-effect models and a multimodel
 inference approach, we tested the influence of latitude, habitat type,
 ecosystem size, climate, and terrestrial productivity over the response
 ratio. The relative contribution of autochthonous was higher in lotic
 systems. In lentic systems, increasing terrestrial productivity increased
 the relative contribution of autochthonous OM, while increasing
 precipitation and temperature seasonality reduced this relative
 contribution. We suggested that factors increasing terrestrial
 productivity might also boost autochthonous OM in these systems, while
 precipitation increases the transport of allochthonous OM to freshwater
 habitats. We did not find any relationship between environmental factors
 and the relative contribution of autochthonous OM for lotic systems. We
 concluded that the relative contribution of allochthonous and
 autochthonous energy sources to freshwater food webs differs between lotic
 and lentic ecosystems and it is dependent on multiple environmental
 factors.
DOI: 10.17632/rgp9xy5gy2.2
title: BD Guava Fruit and Leaf Disease Dataset

description: Bangladesh, being a major guava-producing country, relies heavily on seasonal harvests. 
However, diseases such as algal leaf spot, red rust, scab, and black mold severely impact guava 
yield and farmer income [4]. Early detection is essential to prevent large-scale infection and 
ensure sustainable fruit production. With the increasing availability of affordable computing 
power and image-based data, deep learning provides a powerful solution for rapid and accurate 
disease identification. 
Previous works have demonstrated the high potential of deep learning models in similar 
agricultural domains. For example, YOLOv8 has been successfully applied in apple orchard 
segmentation tasks, outperforming Mask R-CNN in both accuracy and inference speed, 
achieving precision up to 0.93 and recall 0.97, proving its robustness for real-time agricultural 
applications [5]. Similarly, in tomato grading, YOLOv7 achieved 99.2% accuracy and 99.4% 
recovery rate in detecting and classifying tomato quality, highlighting the power of convolutional 
deep learning in fruit analysis [6]. 
Inspired by these advancements, this study applies YOLO and CNN models for guava leaf and 
fruit disease detection to enhance precision agriculture in Bangladesh. The integration of these 
models into user-friendly platforms such as Tkinter and Gradio aims to assist farmers and 
researchers in diagnosing diseases efficiently, thereby reducing crop losses and improving yield 
quality. 
Version 2 Red G
The dataset is organized into multiple class-wise folders, with images standardized to a uniform resolution for consistency. Each class contains a sufficient number of samples to support effective model training and evaluation. The data is structured into separate subsets for training, validation, and testing, while preserving class-wise organization to ensure balanced and reliable performance assessment.
DOI: 10.5061/dryad.34tmpg4pw
title: Sensory integration of danger and safety cues explains the fear of a quiet coyote

description: Sensory integration theory predicts natural selection should favor
 adaptive responses of animals to multiple forms of information, yet
 empirical tests of this prediction are rare, particularly in free-living
 mammals. Studying indirect predator cues offers a salient opportunity to
 inquire about multimodal risk assessment and its potentially interactive
 effects on prey responses. Here we exposed California ground squirrels
 from two study sites (that differ in human and dog activity) to acoustic
 and/or olfactory predator cues to reveal divergent patterns of signal
 dominance. Olfactory information most strongly predicted space use within
 the testing arena. That is, individuals, especially those at the
 human-impacted site, avoided coyote urine, a danger cue that may
 communicate the proximity of a coyote. In contrast, subjects allocated
 less time to risk-sensitive behaviors when exposed to acoustic cues.
 Specifically, although individuals were consistent in their behavioral
 responses across trials, “quiet coyotes” (urine without calls)
 significantly increased the behavioral reactivity of prey, likely because
 coyotes rarely vocalize when hunting. More broadly, our findings highlight
 the need to consider the evolution of integrated fear responses and
 contribute to an emerging understanding of how animals integrate multiple
 forms of information to tradeoff between danger and safety cues in a
 changing world.
description: The data included are the responses of free-living California
 ground squirrels within a testing arena exposed to coyote urine and/or
 calls or a control within a testing arena.
DOI: 10.17632/9xm7sgrcyn
title: Research_data_code_Microstructure-based private information and institutional return predictability

description: README: Replication Package
Paper Title
Microstructure-based private information and institutional return predictability
Authors:
Xuchu Sun (Hohai University)
Jinling Na (Nanjing University)
Tangrong Li (Nanjing Audit University)
Date: Jan 28, 2026

This folder contains the programs and materials required to reproduce the results of the paper "Microstructure-based private information and institutional return predictability."
DOI: 10.17632/9xm7sgrcyn.1
title: Research_data_code_Microstructure-based private information and institutional return predictability

description: README: Replication Package
Paper Title
Microstructure-based private information and institutional return predictability
Authors:
Xuchu Sun (Hohai University)
Jinling Na (Nanjing University)
Tangrong Li (Nanjing Audit University)
Date: Jan 28, 2026

This folder contains the programs and materials required to reproduce the results of the paper "Microstructure-based private information and institutional return predictability."
DOI: 10.17632/2dm24z6yrr
title: Replication Package for "Cultural Industry Meets Tourism: Productive Intersectoral Spillovers and Cluster Synergies" (C. Bernini, S. Emili, F. Galli)

description: The files contained in this folder allow replication of the analysis presented in “Cultural Industry Meets Tourism: Productive Intersectoral Spillovers and Cluster Synergies” (C. Bernini, S. Emili, F. Galli).

Although the original data are confidential, following the procedures described in the README and the accompanying scripts allows reconstruction of the final dataset used for model estimation. For transparency and replication purposes, the folder also includes an example dataset with randomly generated (perturbed) data.
DOI: 10.17632/2dm24z6yrr.3
title: Replication Package for "Cultural Industry Meets Tourism: Productive Intersectoral Spillovers and Cluster Synergies" (C. Bernini, S. Emili, F. Galli)

description: The files contained in this folder allow replication of the analysis presented in “Cultural Industry Meets Tourism: Productive Intersectoral Spillovers and Cluster Synergies” (C. Bernini, S. Emili, F. Galli).

Although the original data are confidential, following the procedures described in the README and the accompanying scripts allows reconstruction of the final dataset used for model estimation. For transparency and replication purposes, the folder also includes an example dataset with randomly generated (perturbed) data.
DOI: 10.5061/dryad.bvq83bkdp
title: #Coronavirus on TikTok: User engagement with misinformation as a potential threat to public health behavior

description: Background: COVID-related misinformation is prevalent online, including on
 social media. The purpose of this study was to explore factors associated
 with user engagement with COVID-related misinformation on the social media
 platform, TikTok. Methods: A sample of TikTok videos associated with the
 hashtag #coronavirus were downloaded on September 20, 2020. Misinformation
 was evaluated on a scale (low, medium, high) using a codebook developed by
 experts in infectious diseases. Multivariable modeling was used to
 evaluate factors associated with number of views and presence of user
 comments indicating intention to change behavior. Results: 166 TikTok
 videos were identified. Moderate misinformation was present in 36 (22%)
 videos, and high-level misinformation was present in 11 (7%). After
 controlling for characteristics and content, videos containing moderate
 misinformation were less likely to generate a user response indicating
 intended behavior change. By contrast, videos containing high-level
 misinformation were less likely to be viewed but demonstrated a
 non-significant trend towards higher engagement among viewers.
 Conclusions: COVID-related misinformation is less frequently viewed on
 TikTok but more likely to engage viewers. Public health authorities can
 combat misinformation on social media by posting content of their
 own.
DOI: 10.17632/6f59b9twwb
title: Isotopic Signatures in Fog and Rain Differ in Centre European Middle-elevated Mountain Forests