cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5061/dryad.jq2bvq8f7
title: Data for: Biogeographic pattern of living vegetation carbon turnover time in mature forests across continents

description: Aim: Theoretically, woody biomass turnover time (τ) quantified using
 outflux (i.e., tree mortality) predicts biomass dynamics better than using
 influx (i.e., productivity). This study aims at using forest inventory
 data to empirically test the outflux approach and generate a spatially
 explicit understanding of woody τ in mature forests. We further
 compared woody τ estimates with dynamic global vegetation models
 (DGVMs) and with a data assimilation product of C stocks and fluxes -
 CARDAMOM. Location: Continents Time period: Historic from 1951 to 2018
 Major taxa studied: Trees and Forests Methods: We compared the approaches
 of using outflux vs. influx for estimating woody τ and predicting biomass
 accumulation rates. We investigated abiotic and biotic drivers of spatial
 woody τ and generated a spatially explicit map of woody τ at a 0.25-degree
 resolution across continents using machine learning. We further examined
 whether six DGVMs and CARDAMOM generally captured the observational
 pattern of woody τ. Results: Woody τ quantified by the outflux
 approach better (with R2 0.4-0.5) predicted the biomass accumulation rates
 than the influx approach (with R2 0.1-0.4) across continents. We found
 large spatial variations of woody τ for mature forests, with highest
 values in temperate forests (98.8 ± 2.6 y) followed by boreal forests
 (73.9 ± 3.6 y) and tropical forests. The map of woody
 τ extrapolated from plot data showed higher values in wetter
 eastern and pacific coast USA, Africa and eastern Amazon. Climate
 (temperature and aridity index) and vegetation structure (tree density and
 forest age) were the dominant drivers of woody τ across continents. The
 highest woody τ in temperate forests were not captured by either
 DGVMs or CARDAMOM. Main conclusions: Our study empirically demonstrated
 the preference of using outflux over influx to estimate woody
 τ for predicting biomass accumulation rates. The spatially
 explicit map of woody τ and the underlying drivers provide
 valuable information to improve the  representation of forest
 demography and carbon turnover processes in DGVMs.
DOI: 10.15468/dl.kq78re
title: Occurrence Download

description: A dataset containing 25139 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Xeno-canto - Bird sounds from around the world",
 "Country is Sweden"
 ]
}

 The dataset includes 25139 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003548-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5061/dryad.kh18932c1
title: Climbing fiber multi-innervation of mouse Purkinje dendrites with arborization common to human

description: Canonically, each Purkinje cell in the adult cerebellum receives only one
 climbing fiber from the inferior olive. Underlying current theories of
 cerebellar function is the notion that this highly conserved one-to-one
 relationship renders Purkinje dendrites into a single computational
 compartment. However, we show that multiple primary dendrites are a
 near-universal morphological feature in humans. Using tract-tracing,
 immunolabeling, and in vitro electrophysiology, we demonstrate in mice
 that ~25% of mature polydendritic cells receive more than one climbing
 fiber input. Two-photon calcium imaging in vivo reveals that separate
 dendrites can exhibit distinct response properties to sensory stimulation,
 indicating some polydendritic cells integrate functionally independent
 climbing fiber receptive fields. These findings reveal that Purkinje cells
 are morphologically and functionally more diverse than previously thought.
description: Data sets are in excel spreadsheet or CSV formats. R markdown
 code to analyze each dataset is provided.
DOI: 10.6084/m9.figshare.31170249.v1
title: Identifying long-term winter wheat planting areas using decision tree-derived ensemble learning models and multi-source data

description: To provide high-quality data support for agricultural policy-making and grain subsidies, this study presents an efficient method for extracting winter wheat planting areas using Landsat series satellite imagery and monthly maximum normalized difference vegetation index (NDVI) stacks. Three ensemble decision-tree algorithms—Random Forest, XGBoost, and CatBoost—were compared. The best model achieved 91% cross-validation accuracy, with a strong statistical validation accuracy in terms of its municipal-scale validation R<sup>2</sup> = 0.91 (MAE = 49,650 hm<sup>2</sup>; RMSE = 64,440 hm²) and county-scale R<sup>2</sup> = 0.84 (MAE = 7125 hm<sup>2</sup>, RMSE = 9875 hm<sup>2</sup>). A spatiotemporal analysis revealed a notable decline in winter wheat area in Shandong Province, which was concentrated in its western and southern regions. The cultivation centre shifted westwards, and then northwards, and the landscape patterns transitioned from large, aggregated patches to small, dispersed patches. This trend of decreasing intensification level for the winter wheat planting regions poses challenges for achieving water-saving and intensive land management goals. These trends are influenced by climate, topography, and socioeconomic factors, as well as agricultural policies. The proposed method offers robust support for attaining large-scale crop monitoring and sustainable agricultural management. • Ensemble models (RF, XGBoost, and CatBoost) accurately mapped winter wheat planting areas.• An optimized sampling strategy effectively reduced the reliance on annual field data collection schemes.• A decreasing intensification level was detected for winter wheat planting regions.• The spatiotemporal dynamics and key factors influencing wheat cultivation were captured. Ensemble models (RF, XGBoost, and CatBoost) accurately mapped winter wheat planting areas. An optimized sampling strategy effectively reduced the reliance on annual field data collection schemes. A decreasing intensification level was detected for winter wheat planting regions. The spatiotemporal dynamics and key factors influencing wheat cultivation were captured.
DOI: 10.6084/m9.figshare.31170249
title: Identifying long-term winter wheat planting areas using decision tree-derived ensemble learning models and multi-source data

description: To provide high-quality data support for agricultural policy-making and grain subsidies, this study presents an efficient method for extracting winter wheat planting areas using Landsat series satellite imagery and monthly maximum normalized difference vegetation index (NDVI) stacks. Three ensemble decision-tree algorithms—Random Forest, XGBoost, and CatBoost—were compared. The best model achieved 91% cross-validation accuracy, with a strong statistical validation accuracy in terms of its municipal-scale validation R<sup>2</sup> = 0.91 (MAE = 49,650 hm<sup>2</sup>; RMSE = 64,440 hm²) and county-scale R<sup>2</sup> = 0.84 (MAE = 7125 hm<sup>2</sup>, RMSE = 9875 hm<sup>2</sup>). A spatiotemporal analysis revealed a notable decline in winter wheat area in Shandong Province, which was concentrated in its western and southern regions. The cultivation centre shifted westwards, and then northwards, and the landscape patterns transitioned from large, aggregated patches to small, dispersed patches. This trend of decreasing intensification level for the winter wheat planting regions poses challenges for achieving water-saving and intensive land management goals. These trends are influenced by climate, topography, and socioeconomic factors, as well as agricultural policies. The proposed method offers robust support for attaining large-scale crop monitoring and sustainable agricultural management. • Ensemble models (RF, XGBoost, and CatBoost) accurately mapped winter wheat planting areas.• An optimized sampling strategy effectively reduced the reliance on annual field data collection schemes.• A decreasing intensification level was detected for winter wheat planting regions.• The spatiotemporal dynamics and key factors influencing wheat cultivation were captured. Ensemble models (RF, XGBoost, and CatBoost) accurately mapped winter wheat planting areas. An optimized sampling strategy effectively reduced the reliance on annual field data collection schemes. A decreasing intensification level was detected for winter wheat planting regions. The spatiotemporal dynamics and key factors influencing wheat cultivation were captured.
DOI: 10.25349/d9pw47
title: Snow cover and snow water equivalent for: How do tradeoffs in satellite spatial and temporal resolution impact snow water equivalent reconstruction?

description: Given the tradeoffs between spatial and temporal resolution, questions
 about resolution optimality are fundamental to the study of global snow.
 Answers to these questions will inform future scientific priorities and
 mission specifications. Heterogeneity of mountain snowpacks drives a need
 for daily snow cover mapping at the slope scale (≤ 30 m) that is unmet for
 a variety of scientific users, ranging from hydrologists to the military
 to wildlife biologists. But finer spatial resolution usually requires
 coarser temporal or spectral resolution. Thus, no single sensor can meet
 all these needs. Recently, constellations of satellites and fusion
 techniques have made noteworthy progress. The efficacy of two such recent
 advances is examined: 1) a fused MODIS - Landsat product with daily 30 m
 spatial resolution; and 2) a harmonized Landsat 8 - Sentinel 2A/B (HLS)
 product with 2–3-day temporal and 30-m spatial resolution. State-of-art
 spectral unmixing techniques are applied to surface reflectance products
 from 1 & 2 to create snow cover and albedo maps. Then an energy
 balance model was run to reconstruct snow water equivalent (SWE). For
 validation, lidar-based Airborne Snow Observatory SWE estimates were used.
 Results show that reconstructed SWE forced with 30 m resolution snow cover
 has lower bias, a measure of basin-wide accuracy, than the baseline case
 using MODIS (463 m cell size), but higher mean absolute error, a measure
 of per-pixel accuracy. However, the differences in errors may be within
 uncertainties from scaling artifacts e.g., basin boundary delineation.
 Other explanations are 1) the importance of daily acquisitions and 2) the
 limitations of downscaled forcings for reconstruction. Conclusions are: 1)
 spectrally unmixed snow cover and snow albedo from MODIS continue to
 provide accurate forcings for snow models; and 2) finer spatial and
 temporal resolution through sensor design, fusion techniques, and
 satellite constellations are the future for Earth observations.
DOI: 10.5061/dryad.wh70rxwt4
title: Africa’s ecosystems exhibit a tradeoff between resistance and stability following disturbances

description: Environmental disturbances may prevent ecosystems from consistently
 performing their critical ecological functions. Two important properties
 of ecosystems are their resistance and stability, which respectively
 reflect their capacities to withstand and recover from disturbance events
 (e.g., droughts, wildfires, pests, etc.). Theory suggests that resistant
 and stable ecosystems possess opposing characteristics, but this has
 seldom been established across diverse ecosystem attributes or broad
 spatial scales. Here, we compare the resistance and stability of
 &gt;1,000 protected area ecosystems in Africa to disturbance-induced
 losses in primary productivity from 2000-2019. We quantitatively evaluated
 each ecosystem such that following disturbances, an ecosystem is more
 resistant if it experiences lower-magnitude losses in productivity, and
 more stable if it returns more rapidly to pre-disturbance productivity
 levels. To compare the characteristics of resistant versus stable
 ecosystems, we optimized random forest models that use ecosystem
 attributes (representing their climatic and environmental conditions,
 plant and faunal biodiversity, and exposure to human impacts) to predict
 their resistance and, separately, stability values. We visualized each
 attribute’s relationship with resistance and stability after accounting
 for all other attributes in the model framework. Ecosystems that are more
 resistant to disturbances are less stable, and vice versa. The ecosystem
 attributes with the most predictive power in our models all exhibit
 contrasting relationships with resistance versus stability. Notably,
 highly resistant ecosystems are generally more arid and exhibit high
 habitat heterogeneity and mammalian biodiversity, while highly stable
 ecosystems are the opposite. We discuss the underlying mechanisms through
 which these attributes engender resistance or, conversely, stability. Our
 findings suggest that resistance and stability are fundamentally opposing
 phenomena. A balance between the two must be struck if ecosystems are to
 maintain their identity, structure, and function in the face of
 environmental change.
DOI: 10.5061/dryad.80gb5mkw0
title: Evolution of conditional cooperation in collective-risk social dilemma with repeated group interactions

description: The question of how cooperation evolves and is sustained over time has
 been a long-standing and unresolved issue in the fields of evolutionary
 biology and social sciences. Previous theoretical and experimental
 research based on the collective-risk social dilemma game has revealed the
 risk that the failure of collective goals will affect the evolution of
 cooperation. Considering that in the real world individuals usually adjust
 their decisions based on environmental factors such as risk intensity and
 cooperation level, it is still not well understood how such conditional
 behaviors affect the evolution of cooperation in repeated group
 interactions scenario from a theoretical perspective. Here, we construct
 an evolutionary game model with repeated interactions, in which defectors
 decide whether to cooperate in subsequent rounds of the game based on
 whether the risk exceeds their tolerance threshold and whether the number
 of cooperators exceeds the collective goal in the early rounds of the
 game. We find that the introduction of conditional cooperation strategy
 can effectively promote the emergence of cooperation, especially when the
 risk is low. In addition, the risk threshold significantly affects the
 evolutionary outcomes. Furthermore, our results confirm that a high risk
 can promote the emergence of cooperation. Importantly, when the risk
 exceeds the tolerance threshold, timely adjustment of strategies by
 conditional cooperators is beneficial for maintaining high-level
 cooperation.
description: We use MATLAB to numerically compute the evolutionary dynamics of
 the system.
description: # Evolution of conditional cooperation in collective-risk social dilemma
 with repeated group interactions
 [https://doi.org/10.5061/dryad.80gb5mkw0](https://doi.org/10.5061/dryad.80gb5mkw0) The dataset contains data on the computation of selection gradients in infinite populations. The dataset presents the data in Figure 1a of the related research paper. ## Description of the data and file structure These data can be obtained through the provided Matlab code. ## Code/Software All the figures in the paper were implemented using Matlab.
DOI: 10.5061/dryad.c866t1gc3
title: Data for: Lower survival of hybrid grosbeaks, but not towhees, suggests a molt divide disfavors hybrids

description: Although avian hybrid zones in the Great Plains have been studied for
 almost 70 years, we know surprisingly little about the fitness costs for
 hybrids that keep these zones narrow. We compare age ratios in grosbeaks
 (Pheucticus ludovicianus and P. melanocephalus) and towhees (Pipilo
 erythropthalums and P. maculatus), two species pairs that differ in their
 life-histories and molt schedules, to evaluate survival between hybrids
 and parentals. We then contrast molt and migratory divides as possible
 sources of selection against hybrids. Hybrid grosbeaks had 27-33% lower
 survival relative to their parentals, whereas hybrid towhees had survival
 rates similar to parentals. Age ratio data for hybrid grosbeaks suggest
 high mortality in older birds, as expected if selection operates after the
 first year of life. This pattern is consistent with parental species of
 grosbeaks having contrasting molt schedules relative to migration,
 suggesting high mortality costs to hybrids driven by molt biology, which
 are expressed later in life. Contrasts in molt schedules are absent in
 towhees. While migratory divides may exist for towhees and grosbeaks, the
 low adult survival of hybrid grosbeaks suggests that molt may be an
 important and underappreciated source of selection maintaining this and
 other narrow avian hybrid zones.
DOI: 10.5061/dryad.44j0zpckg
title: Meynell Langley grassland experiment containing community, biodiversity and functionality data

description: Cost-effective strategies to increase biodiversity are a fundamental
 requirement to reconcile conservation and food production in agricultural
 landscapes. Key to the implementation of such strategies is an accurate
 quantification of both their benefits and potential associated trade-offs.
 Therefore, we assessed, in a commercially managed grassland, biodiversity
 responses to two low-cost management interventions and their mediating
 effects on ecosystem services.  In a six-year experiment, we
 showed that a one-time seed-bank activation treatment had strong initial
 impacts on biodiversity, increasing plant richness in year one by 61%.
 Long-term effects, which were also driven by the second management
 intervention, the propagation of the keystone species yellow rattle, were
 weaker but nonetheless substantial. These positive biodiversity responses
 improved ecosystem multifunctionality through additive positive effects of
 richness, evenness, and phylogenetic distinctiveness on nectar production
 and structural habitat complexity. In contrast, hay biomass production was
 negatively affected by both management interventions, resulting in a
 multilevel trade-off between biomass production competing with
 biodiversity conservation and the provisioning of other ecosystem
 services. Synthesis and applications: In this study, we demonstrate that
 the maximisation of either biodiversity or biomass production requires
 largely different land-management practices. The evaluation of this
 trade-off, however, is strongly dependent on its social, economic, and
 ecological context and requires clearly defined land-management priorities
 for both food production and biodiversity conservation.
DOI: 10.5061/dryad.qjq2bvqmz
title: A kinase fusion protein from Aegilops longissima confers resistance to wheat powdery mildew

description: Many disease resistance genes have been introgressed into wheat from its
 wild relatives. However, reduced recombination within the introgressed
 segments hinders cloning of the introgressed genes. Here, we report the
 identification of wheat powdery mildew resistance gene Pm13
 originated from from Aegilops longissima using a method combining physical
 mapping with radiation-induced chromosomal aberrations and transcriptome
 sequencing analysis of ethyl methanesulfonate (EMS)-induced
 loss-of-function mutants. Pm13 encodes a kinase fusion protein, designated
 MLKL-K, with an N-terminal domain of mixed lineage kinase domain-like
 protein (MLKL_NTD domain) and a C-terminal serine/threonine kinase domain
 bridged by a brace. The resistance function of Pm13 is validated by
 transient and stable transgenic complementation assays. Transient
 over-expression analyses in Nicotiana benthamiana leaves and wheat
 protoplasts reveal that the fragment Brace-Kinase122-476 of MLKL-K is
 capable of inducing cell death, which is dependent on a functional kinase
 domain and the three α-helices in the brace region close to the N-terminus
 of the kinase domain.
description: # Title of Dataset A kinase fusion protein from *Aegilops longissima*
 confers resistance to wheat powdery mildew ## Description of the data and
 file structure * The file
 `pm13-wt_assembled_transcriptome_sorted.fasta.gz` contains assembled
 transcriptome of Bgt-infected wt line No.3778 leaves. * The file
 `NODE_25350.fa` contains sequence of assembled transcript
 NODE_25350_length_2006_cov_24.294361_g11779_i0 extracted from file
 `pm13-wt_assembled_transcriptome_sorted.fasta.gz.` The file `Pm13_CDS.fa`
 contains coding sequence of Pm13/MLKL-K. * The file
 `Pm13_genomic_sequence.fa` contains 11,376 bp genomic sequence of
 Pm13/MLKL-K isolated from wheat line No.3778.
DOI: 10.6084/m9.figshare.31169863
title: Data supporting the findings of paired comparison of extrinsic feedback effects on motor learning and functional recovery after stroke

description: This dataset supports a secondary analysis of randomized controlled trials examining the effects of extrinsic feedback (EF) on motor learning and functional recovery after stroke. The analysis includes trials reporting both task-specific motor learning outcomes and broader functional recovery measures, allowing a direct comparison of EF effects within the same participants. Data include standardized mean differences, trial characteristics, and the outcome measures used in the meta-analysis. The dataset is fully anonymized and intended to support reproducibility, further analyses, and meta-analytic research.
DOI: 10.6084/m9.figshare.31169863.v1
title: Data supporting the findings of paired comparison of extrinsic feedback effects on motor learning and functional recovery after stroke

description: This dataset supports a secondary analysis of randomized controlled trials examining the effects of extrinsic feedback (EF) on motor learning and functional recovery after stroke. The analysis includes trials reporting both task-specific motor learning outcomes and broader functional recovery measures, allowing a direct comparison of EF effects within the same participants. Data include standardized mean differences, trial characteristics, and the outcome measures used in the meta-analysis. The dataset is fully anonymized and intended to support reproducibility, further analyses, and meta-analytic research.
DOI: 10.5281/zenodo.18377345
title: Reconstructing forest cover using palynological data and a CNN
DOI: 10.5281/zenodo.18377344
title: Reconstructing forest cover using palynological data and a CNN