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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Wang, Yan; Yao, Zhisheng; Zheng, Xunhua; Subramaniam, Logapragasan; +1 Authors

    Nitrogen (N)-fertilizer application to agricultural soils results in substantial emissions of nitric oxide (NO), a key substance in tropospheric chemistry involved in climate forcing and air pollution. However, estimates of global cropland NO emissions remain uncertain due to a lack of information on direct NO emission factors (EFds) of applied N for variours cropping systems at seasonal or annual scales. Here we quantified the crop-specific seasonal and annual-scale NO EFds through synthesizing 1094 measurements from 125 field-based studies worldwide. The global mean crop-specific seasonal EFd was 0.53%, with the highest for vegetables (0.75%). Among cereal crops, the EFd of maize (0.45%) or wheat (0.47%) was about three-times higher than for rice (0.12%). At annual scale, the mean EFd across all cropping systems was 0.58%, with tea plantations having the highest (1.54%). For other cropping systems, the annual-scale EFds ranged from 0.02% to 1.07%. Besides crop type, also soil organic carbon, total N and pH as well as N fertilizer type were the main factors explaining the variations of NO EFds. Based on obtained specific EFds for each crop type, we estimated that NO emissions due to the use of synthetic fertilizers from global croplands are about 0.42–0.62 Tg N yr−1. Our budgets are relatively lower if compared to estimates derived by the use of IPCC defaults for NO emissions (0.72–1.66 Tg N yr−1) or reported elsewhere (0.67–1.04 Tg N yr−1). In our estimates, cash crops (vegetable, tea and orchard), which cover only 9% of the world cropland area, contributed about 31% to total NO emissions from global fertilized croplands. Overall, our meta-analysis provides improved crop-specific NO EFds reflecting current stage of knowledge. The work also highlights the relative importance of cash crop production as sources for atmospheric NO, i.e., agricultural systems on which mitigation efforts may focus.

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    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    DRYAD; ZENODO
    Dataset . 2022
    License: CC 0
    Data sources: ZENODO; Datacite
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ DRYAD; ZENODOarrow_drop_down
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      DRYAD; ZENODO
      Dataset . 2022
      License: CC 0
      Data sources: ZENODO; Datacite
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Giesecke, Yvonne; Asimi, Vahid; Stulberg, Valentina; Kleinau, Gunnar; +3 Authors

    Numerical dataset for the manuscript by Giesecke et al., Is the neuropeptide PEN a ligand of GPR83?

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    ZENODO
    Dataset . 2023
    License: CC BY
    Data sources: Datacite
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    ZENODO
    Dataset . 2023
    License: CC BY
    Data sources: ZENODO
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      ZENODO
      Dataset . 2023
      License: CC BY
      Data sources: Datacite
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      ZENODO
      Dataset . 2023
      License: CC BY
      Data sources: ZENODO
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Hu, Zijuan; Zhang, Chongyuan; Zhang, Lei; Elsworth, Derek; +4 Authors

    Zijuan Hu, Chongyuan Zhang, Lei Zhang, Derek Elsworth, Quan Gan, Huiru Lei, Manchao He, Leihua Yao. Frictional Properties of Feldspar-chlorite Altered Gouges and Implications for Fault Reactivation in Hydrothermal Systems. Journal of Geophysical Research: Solid Earth. Data S1 The shear displacement and frictional coefficient data for all friction experiments on simulated feldspar and feldspar/chlorite mixed gouges. Authors Zijuan Hu School of Engineering and Technology, China University of Geosciences (Beijing), Beijing 100083, China Institute of Geomechanics, Chinese Academy of Geological Sciences, Beijing 100081, China Chongyuan Zhang Institute of Geomechanics, Chinese Academy of Geological Sciences, Beijing, 100081, China School of Mechanics and Civil Engineering, China University of Mining and Technology, Beijing 100083, China Lei Zhang State Key Laboratory of Earthquake Dynamics, Institute of Geology, China Earthquake Administration, Beijing, China Derek Elsworth Energy and Mineral Engineering, EMS Energy Institute and G3 Center, Pennsylvania State University, University Park, 16802, USA Quan Gan School of resources and safety engineering, Chongqing university, Chongqing 400044, China Huiru Lei State Key Laboratory of Earthquake Dynamics, Institute of Geology, China Earthquake Administration, Beijing, China Manchao He School of Mechanics and Civil Engineering, China University of Mining and Technology, Beijing 100083, China Leihua Yao School of Engineering and Technology, China University of Geosciences (Beijing), Beijing 100083, China ### File lists (files found within DataS1.zip) Hu_et_al_2023_CK-01.xlsx Hu_et_al_2023_CK-02.xlsx Hu_et_al_2023_CK-03.xlsx Hu_et_al_2023_CK-04.xlsx Hu_et_al_2023_CK-05.xlsx Hu_et_al_2023_CK-06.xlsx Hu_et_al_2023_CK-07.xlsx Hu_et_al_2023_CK-08.xlsx Hu_et_al_2023_CK-09.xlsx Hu_et_al_2023_CK-10.xlsx Hu_et_al_2023_CK-11.xlsx Hu_et_al_2023_CK-12.xlsx Hu_et_al_2023_CK-13.xlsx Hu_et_al_2023_CK-14.xlsx ### File description Hu_et_al_2023_CK-01.xlsx: C The shear displacement (column 1) and frictional coefficient (column 2) data for Experiment CK-01 (confining pressure of 95MPa, pore pressure of 35MPa and temperature of 180°C, mixed gouges). Hu_et_al_2023_CK-02.xlsx: C The shear displacement (column 1) and frictional coefficient (column 2) data for Experiment CK-02 (confining pressure of 95MPa, pore pressure of 90MPa and temperature of 180°C, mixed gouges). Hu_et_al_2023_CK-03.xlsx: C The shear displacement (column 1) and frictional coefficient (column 2) data for Experiment CK-03 (confining pressure of 95MPa, pore pressure of 35MPa and temperature of 400°C, mixed gouges). Hu_et_al_2023_CK-04.xlsx: C The shear displacement (column 1) and frictional coefficient (column 2) data for Experiment CK-04 (confining pressure of 95MPa, pore pressure of 35MPa and temperature of 300°C, mixed gouges). Hu_et_al_2023_CK-05.xlsx: C The shear displacement (column 1) and frictional coefficient (column 2) data for Experiment CK-05 (confining pressure of 95MPa, pore pressure of 35MPa and temperature of 400°C). Hu_et_al_2023_CK-06.xlsx: C The shear displacement (column 1) and frictional coefficient (column 2) data for Experiment CK-06 (confining pressure of 95MPa, pore pressure of 35MPa and temperature of 300°C). Hu_et_al_2023_CK-07.xlsx: C The shear displacement (column 1) and frictional coefficient (column 2) data for Experiment CK-07 (confining pressure of 95MPa, pore pressure of 35MPa and temperature of 180°C). Hu_et_al_2023_CK-08.xlsx: C The shear displacement (column 1) and frictional coefficient (column 2) data for Experiment CK-08 (confining pressure of 95MPa, pore pressure of 35MPa and temperature of 120°C). Hu_et_al_2023_CK-09.xlsx: C The shear displacement (column 1) and frictional coefficient (column 2) data for Experiment CK-09 (confining pressure of 95MPa, pore pressure of 35MPa and temperature of 120°C, mixed gouges). Hu_et_al_2023_CK-10.xlsx: C The shear displacement (column 1) and frictional coefficient (column 2) data for Experiment CK-10 (confining pressure of 95MPa, pore pressure of 90MPa and temperature of 180°C). Hu_et_al_2023_CK-11.xlsx: C The shear displacement (column 1) and frictional coefficient (column 2) data for Experiment CK-11 (confining pressure of 95MPa, pore pressure of 50MPa and temperature of 180°C, mixed gouges). Hu_et_al_2023_CK-12.xlsx: C The shear displacement (column 1) and frictional coefficient (column 2) data for Experiment CK-12 (confining pressure of 95MPa, pore pressure of 50MPa and temperature of 180°C). Hu_et_al_2023_CK-13.xlsx: C The shear displacement (column 1) and frictional coefficient (column 2) data for Experiment CK-13 (confining pressure of 95MPa, pore pressure of 70MPa and temperature of 180°C, mixed gouges). Hu_et_al_2023_CK-14.xlsx: C The shear displacement (column 1) and frictional coefficient (column 2) data for Experiment CK-14 (confining pressure of 95MPa, pore pressure of 70MPa and temperature of 180°C). As particularly common minerals in granites, the presence of feldspar and altered feldspar-chlorite gouges at hydrothermal conditions have important implications in fault strength and reactivation. We present laboratory observations of frictional strength and stability of feldspar (K-feldspar and albite) and altered feldspar-chlorite gouges under conditions representative of deep geothermal reservoirs to evaluate the impact on fault stability. Velocity-stepping experiments are performed at a confining stress of 95 MPa, pore pressures of 35–90 MPa and temperatures of 120–400°C representative of in situ conditions for such reservoirs. Our experiment results show that the feldspar gouge is frictionally strong (μ~0.71) at all experimental temperatures (~120–400℃) but transitions from velocity-strengthening to velocity-weakening at T>120°C. Increasing the pore pressure increases the friction coefficient (~0.70-0.87) and the gouge remains velocity weakening, but this weakening decreases as pore pressures increase. The presence of alteration-sourced chlorite leads to a transition from velocity weakening to velocity strengthening in the mixed gouge at experimental temperatures and pore pressures. As a ubiquitous mineral in reservoir rocks, feldspar is shown to potentially contribute to unstable sliding over ranges in temperature and pressure typical in deep hydrothermal reservoirs. These findings emphasize that feldspar minerals may increase the potential for injection-induced seismicity on pre-existing faults if devoid of chlorite alteration.

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    DRYAD; ZENODO
    Dataset . 2023
    License: CC 0
    Data sources: Datacite; ZENODO
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      DRYAD; ZENODO
      Dataset . 2023
      License: CC 0
      Data sources: Datacite; ZENODO
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    Authors: Porto, Lucas; Machado, Arielli;

    Aim: Understanding the spatial structuring of ecological communities requires us to consider the interplay between evolutionary history and environmental factors. In this study, we investigated the influence of Canidae phylogenetic structure on the distribution and trait patterns of lineages across the planet. Location: Americas, Africa, Eurasia. Time period: 12 million years ago - present. Major taxa studied: Canidae. Methods: Using distribution data and phylogenetic information for 37 Canidae species, we employed phylogenetic fuzzy-weighting to compare assemblages based on their phylogenetic similarity. Results: Our results revealed distinct global patterns of body size, body mass, range size, habitat type, and evolutionary distinctiveness among lineages. We also identified the shared contributions of phylogenetic structure and temperature to trait variation using variance partitioning analysis. The PCPS axes highlighted the influence of phylogenetic relationships on Canidae assemblages, particularly in South America. Main conclusions: Notably, the study challenges the applicability of Bergmann's and Rapoport's rules in explaining canids' sizes and range sizes geographic variation across continents, emphasizing the importance of phylogenetic information. The unique diversification history of Canidae in South America and Africa and their diverse environmental conditions likely contribute to the observed trait patterns that make both continents so distinguished when compared to N. America and Eurasia. Our findings underscore the need to incorporate phylogenetic information in models assessing trait variation across geographic scales for unbiased estimations.

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    ZENODO; DRYAD
    Dataset . 2023
    License: CC 0
    Data sources: ZENODO; Datacite
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      ZENODO; DRYAD
      Dataset . 2023
      License: CC 0
      Data sources: ZENODO; Datacite
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    Authors: Maturilli, Marion; Dünschede, Erik;
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    PANGAEA
    Dataset . 2023
    Data sources: B2FIND
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      PANGAEA
      Dataset . 2023
      Data sources: B2FIND
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    Authors: Kurjak, Daniel; Petrík, Peter; Konôpková-Sliacka, Alena; Link, Roman; +5 Authors

    Dataset and supplementary file for Inter-provenance variability and phenotypic plasticity of wood and leaf traits related to hydraulic safety and efficiency in seven European beech (Fagus sylvatica L.) provenances differing in yield paper. The ANFS_data file includes individual level measurements of xylem safety and efficiency traits, leaf traits and growth among 7 provenances planted at two common garden sites in Germany and Slovakia. More details related to the methodology might be found in the published paper by Kurjak et al. 2024. The ANFS_supplementary file includes the test for differences in distance to tip between sites and provenances, based on the branch diameter-branch length scaling.

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    ZENODO
    Dataset . 2024
    License: CC BY
    Data sources: ZENODO
    ZENODO
    Dataset . 2024
    License: CC BY
    Data sources: Datacite
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      ZENODO
      Dataset . 2024
      License: CC BY
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      ZENODO
      Dataset . 2024
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    Authors: Tian, Dongyuan; He, Pei; Jiang, Lichun; Gaire, Damodar;

    The tree crown is a useful measure of tree vigor and is highly relevant to a tree's environmental adaptability. Crown allometry depends on environmental and stand conditions. Several studies have focused on the effects of climate change and competitive intensity on the crown, but the regulatory role of soil resources and diversity on crown allometry and carbon allocation has been neglected. Data from 20,994 trees in 232 mixed forests collected between 2011 and 2019 was located near four major mountain ranges in northeast China. The proposed crown width model includes the stand developmental stage, soil, climate, competition intensity, species mixture, species diversity, structural diversity, and their interactions. We observed that the cross-species allometric scaling exponent does not conform to the universal scaling law. Our results showed that crown width increased with increasing soil bulk density, quadratic mean diameter, and coefficient of diameter variation but decreased with increasing de Martonne aridity index, basal area, Simpson index, and species mixture. The interaction of quadratic mean diameter and soil bulk density had a significant negative effect on crown width. The influence of a particular factor within the interaction term on crown width was modulated by the gradients of other factors. Furthermore, soil bulk density contributed more to crown width modeling than the aridity index, and structural diversity had a greater effect on crown width than species diversity. Synthesis. Our results provide new insights into the environmental variability of crown allometry in mixed forests under global change, which is critical for improving regional and global estimates of forest biomass and carbon stocks. # Developing crown width model for mixed forests using soil, climate, and stand factors ## Description of the data and file structure This README file accompanies the data for the article accepted by the Journal of Ecology. The data file is named (JEcol_data.xlsx). The data file contains two sheets: "README" and "DATA". Abbreviations with simple description as follow, and a full description of these data can be found in sheet "README". | Variables | Abbreviation | Unit | | :---------------------------------------------------------- | :----------- | :------ | | plot | | | | species | | | | regional dummy | region1 | | | regional dummy | region2 | | | regional dummy | region3 | | | diameter at breast height | DBH | cm | | the proportion of the basal area of the species of interest | BAP | | | basal area per hectare | BA | m2 ha-1 | | quadratic mean diameter | QMD | cm | | de Martonne aridity index | M | mm ℃-1 | | soil bulk density | BD | cg cm-3 | | species simpson index | SIM | | | the coefficient of variation of diameter | CVd | | | crown width | CW | m | If you have any questions about the data, please contact Lichun Jiang () or Dongyuan Tian () at Northeast Forestry University, China.

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    ZENODO; DRYAD
    Dataset . 2023
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      ZENODO; DRYAD
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    This repos contains all the code and data to reproduce the experiments in ``Synergizing Reinforcement Learning and SMT Solving to Infer Loop Invariants''.

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    ZENODO
    Dataset . 2022
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    ZENODO
    Dataset . 2022
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    ZENODO
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    ZENODO
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      ZENODO
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      ZENODO
      Dataset . 2022
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      ZENODO
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      ZENODO
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    Webis Clickbait Spoiling Corpus 2022 The Webis Clickbait Spoiling Corpus 2022 (Webis-Clickbait-22) contains 5,000 spoiled clickbait posts crawled from Facebook, Reddit, and Twitter. This corpus supports the task of clickbait spoiling, which deals with generating a short text that satisfies the curiosity induced by a clickbait post. This dataset contains the clickbait posts and manually cleaned versions of the linked documents, and extracted spoilers for each clickbait post. Additionally, the spoilers are categorized into three types: short phrase spoilers, longer passage spoilers, and multiple non-consecutive pieces of text. This dataset contains the clickbait posts and manually cleaned versions of the linked documents, and extracted spoilers for each clickbait post. Additionally, the spoilers are categorized into three types: short phrase spoilers, longer passage spoilers, and multiple non-consecutive pieces of text. The test set of this dataset was used for the SemEval-2023 clickbait spoiling task. You can re-execute and adopt the software submissions made through for this SemEval task, please see the instructions and overview of approaches in TIRA. Overview The dataset comes with predefined train/validation/test splits: training.jsonl: 3,200 posts for training validation.jsonl: 800 posts for validation test.jsonl: 1,000 posts for testing The test set was used for the SemEval-2023 clickbait spoiling task. This shared task was organized with TIRA.io and participants submitted Docker software during the task. Please see the instructions in TIRA to re-execute or modify the approaches.

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    ZENODO
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    ZENODO
    Dataset . 2022
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    ZENODO
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      ZENODO
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      ZENODO
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    This dataset contains AMR monitoring results in animals and food at the isolate level pursuant to Article 9 of Directive 2003/99/EC and to Annex, part B, of Commission implementing Decision (EU) 2020/1729. In addition, the dataset includes any other results from isolates than the ones mentioned in the Commission implementing Decision (EU) 2020/172. The quantitative minimum inhibitory concentration (MIC) data from dilution methods, as well as the voluntary reporting of and Whole Genome Sequencing (WGS) data are included. Reporting authorities contributing to 2021 AMR data collection: Federal Institute for Risk Assessment DE; xlsx; zoonoses_support@efsa.europa.eu

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    ZENODO
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Wang, Yan; Yao, Zhisheng; Zheng, Xunhua; Subramaniam, Logapragasan; +1 Authors

    Nitrogen (N)-fertilizer application to agricultural soils results in substantial emissions of nitric oxide (NO), a key substance in tropospheric chemistry involved in climate forcing and air pollution. However, estimates of global cropland NO emissions remain uncertain due to a lack of information on direct NO emission factors (EFds) of applied N for variours cropping systems at seasonal or annual scales. Here we quantified the crop-specific seasonal and annual-scale NO EFds through synthesizing 1094 measurements from 125 field-based studies worldwide. The global mean crop-specific seasonal EFd was 0.53%, with the highest for vegetables (0.75%). Among cereal crops, the EFd of maize (0.45%) or wheat (0.47%) was about three-times higher than for rice (0.12%). At annual scale, the mean EFd across all cropping systems was 0.58%, with tea plantations having the highest (1.54%). For other cropping systems, the annual-scale EFds ranged from 0.02% to 1.07%. Besides crop type, also soil organic carbon, total N and pH as well as N fertilizer type were the main factors explaining the variations of NO EFds. Based on obtained specific EFds for each crop type, we estimated that NO emissions due to the use of synthetic fertilizers from global croplands are about 0.42–0.62 Tg N yr−1. Our budgets are relatively lower if compared to estimates derived by the use of IPCC defaults for NO emissions (0.72–1.66 Tg N yr−1) or reported elsewhere (0.67–1.04 Tg N yr−1). In our estimates, cash crops (vegetable, tea and orchard), which cover only 9% of the world cropland area, contributed about 31% to total NO emissions from global fertilized croplands. Overall, our meta-analysis provides improved crop-specific NO EFds reflecting current stage of knowledge. The work also highlights the relative importance of cash crop production as sources for atmospheric NO, i.e., agricultural systems on which mitigation efforts may focus.

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    DRYAD; ZENODO
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      DRYAD; ZENODO
      Dataset . 2022
      License: CC 0
      Data sources: ZENODO; Datacite
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    Authors: Giesecke, Yvonne; Asimi, Vahid; Stulberg, Valentina; Kleinau, Gunnar; +3 Authors

    Numerical dataset for the manuscript by Giesecke et al., Is the neuropeptide PEN a ligand of GPR83?

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    ZENODO
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    ZENODO
    Dataset . 2023
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      ZENODO
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      ZENODO
      Dataset . 2023
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    Authors: Hu, Zijuan; Zhang, Chongyuan; Zhang, Lei; Elsworth, Derek; +4 Authors

    Zijuan Hu, Chongyuan Zhang, Lei Zhang, Derek Elsworth, Quan Gan, Huiru Lei, Manchao He, Leihua Yao. Frictional Properties of Feldspar-chlorite Altered Gouges and Implications for Fault Reactivation in Hydrothermal Systems. Journal of Geophysical Research: Solid Earth. Data S1 The shear displacement and frictional coefficient data for all friction experiments on simulated feldspar and feldspar/chlorite mixed gouges. Authors Zijuan Hu School of Engineering and Technology, China University of Geosciences (Beijing), Beijing 100083, China Institute of Geomechanics, Chinese Academy of Geological Sciences, Beijing 100081, China Chongyuan Zhang Institute of Geomechanics, Chinese Academy of Geological Sciences, Beijing, 100081, China School of Mechanics and Civil Engineering, China University of Mining and Technology, Beijing 100083, China Lei Zhang State Key Laboratory of Earthquake Dynamics, Institute of Geology, China Earthquake Administration, Beijing, China Derek Elsworth Energy and Mineral Engineering, EMS Energy Institute and G3 Center, Pennsylvania State University, University Park, 16802, USA Quan Gan School of resources and safety engineering, Chongqing university, Chongqing 400044, China Huiru Lei State Key Laboratory of Earthquake Dynamics, Institute of Geology, China Earthquake Administration, Beijing, China Manchao He School of Mechanics and Civil Engineering, China University of Mining and Technology, Beijing 100083, China Leihua Yao School of Engineering and Technology, China University of Geosciences (Beijing), Beijing 100083, China ### File lists (files found within DataS1.zip) Hu_et_al_2023_CK-01.xlsx Hu_et_al_2023_CK-02.xlsx Hu_et_al_2023_CK-03.xlsx Hu_et_al_2023_CK-04.xlsx Hu_et_al_2023_CK-05.xlsx Hu_et_al_2023_CK-06.xlsx Hu_et_al_2023_CK-07.xlsx Hu_et_al_2023_CK-08.xlsx Hu_et_al_2023_CK-09.xlsx Hu_et_al_2023_CK-10.xlsx Hu_et_al_2023_CK-11.xlsx Hu_et_al_2023_CK-12.xlsx Hu_et_al_2023_CK-13.xlsx Hu_et_al_2023_CK-14.xlsx ### File description Hu_et_al_2023_CK-01.xlsx: C The shear displacement (column 1) and frictional coefficient (column 2) data for Experiment CK-01 (confining pressure of 95MPa, pore pressure of 35MPa and temperature of 180°C, mixed gouges). Hu_et_al_2023_CK-02.xlsx: C The shear displacement (column 1) and frictional coefficient (column 2) data for Experiment CK-02 (confining pressure of 95MPa, pore pressure of 90MPa and temperature of 180°C, mixed gouges). Hu_et_al_2023_CK-03.xlsx: C The shear displacement (column 1) and frictional coefficient (column 2) data for Experiment CK-03 (confining pressure of 95MPa, pore pressure of 35MPa and temperature of 400°C, mixed gouges). Hu_et_al_2023_CK-04.xlsx: C The shear displacement (column 1) and frictional coefficient (column 2) data for Experiment CK-04 (confining pressure of 95MPa, pore pressure of 35MPa and temperature of 300°C, mixed gouges). Hu_et_al_2023_CK-05.xlsx: C The shear displacement (column 1) and frictional coefficient (column 2) data for Experiment CK-05 (confining pressure of 95MPa, pore pressure of 35MPa and temperature of 400°C). Hu_et_al_2023_CK-06.xlsx: C The shear displacement (column 1) and frictional coefficient (column 2) data for Experiment CK-06 (confining pressure of 95MPa, pore pressure of 35MPa and temperature of 300°C). Hu_et_al_2023_CK-07.xlsx: C The shear displacement (column 1) and frictional coefficient (column 2) data for Experiment CK-07 (confining pressure of 95MPa, pore pressure of 35MPa and temperature of 180°C). Hu_et_al_2023_CK-08.xlsx: C The shear displacement (column 1) and frictional coefficient (column 2) data for Experiment CK-08 (confining pressure of 95MPa, pore pressure of 35MPa and temperature of 120°C). Hu_et_al_2023_CK-09.xlsx: C The shear displacement (column 1) and frictional coefficient (column 2) data for Experiment CK-09 (confining pressure of 95MPa, pore pressure of 35MPa and temperature of 120°C, mixed gouges). Hu_et_al_2023_CK-10.xlsx: C The shear displacement (column 1) and frictional coefficient (column 2) data for Experiment CK-10 (confining pressure of 95MPa, pore pressure of 90MPa and temperature of 180°C). Hu_et_al_2023_CK-11.xlsx: C The shear displacement (column 1) and frictional coefficient (column 2) data for Experiment CK-11 (confining pressure of 95MPa, pore pressure of 50MPa and temperature of 180°C, mixed gouges). Hu_et_al_2023_CK-12.xlsx: C The shear displacement (column 1) and frictional coefficient (column 2) data for Experiment CK-12 (confining pressure of 95MPa, pore pressure of 50MPa and temperature of 180°C). Hu_et_al_2023_CK-13.xlsx: C The shear displacement (column 1) and frictional coefficient (column 2) data for Experiment CK-13 (confining pressure of 95MPa, pore pressure of 70MPa and temperature of 180°C, mixed gouges). Hu_et_al_2023_CK-14.xlsx: C The shear displacement (column 1) and frictional coefficient (column 2) data for Experiment CK-14 (confining pressure of 95MPa, pore pressure of 70MPa and temperature of 180°C). As particularly common minerals in granites, the presence of feldspar and altered feldspar-chlorite gouges at hydrothermal conditions have important implications in fault strength and reactivation. We present laboratory observations of frictional strength and stability of feldspar (K-feldspar and albite) and altered feldspar-chlorite gouges under conditions representative of deep geothermal reservoirs to evaluate the impact on fault stability. Velocity-stepping experiments are performed at a confining stress of 95 MPa, pore pressures of 35–90 MPa and temperatures of 120–400°C representative of in situ conditions for such reservoirs. Our experiment results show that the feldspar gouge is frictionally strong (μ~0.71) at all experimental temperatures (~120–400℃) but transitions from velocity-strengthening to velocity-weakening at T>120°C. Increasing the pore pressure increases the friction coefficient (~0.70-0.87) and the gouge remains velocity weakening, but this weakening decreases as pore pressures increase. The presence of alteration-sourced chlorite leads to a transition from velocity weakening to velocity strengthening in the mixed gouge at experimental temperatures and pore pressures. As a ubiquitous mineral in reservoir rocks, feldspar is shown to potentially contribute to unstable sliding over ranges in temperature and pressure typical in deep hydrothermal reservoirs. These findings emphasize that feldspar minerals may increase the potential for injection-induced seismicity on pre-existing faults if devoid of chlorite alteration.

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    DRYAD; ZENODO
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      DRYAD; ZENODO
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    Authors: Porto, Lucas; Machado, Arielli;

    Aim: Understanding the spatial structuring of ecological communities requires us to consider the interplay between evolutionary history and environmental factors. In this study, we investigated the influence of Canidae phylogenetic structure on the distribution and trait patterns of lineages across the planet. Location: Americas, Africa, Eurasia. Time period: 12 million years ago - present. Major taxa studied: Canidae. Methods: Using distribution data and phylogenetic information for 37 Canidae species, we employed phylogenetic fuzzy-weighting to compare assemblages based on their phylogenetic similarity. Results: Our results revealed distinct global patterns of body size, body mass, range size, habitat type, and evolutionary distinctiveness among lineages. We also identified the shared contributions of phylogenetic structure and temperature to trait variation using variance partitioning analysis. The PCPS axes highlighted the influence of phylogenetic relationships on Canidae assemblages, particularly in South America. Main conclusions: Notably, the study challenges the applicability of Bergmann's and Rapoport's rules in explaining canids' sizes and range sizes geographic variation across continents, emphasizing the importance of phylogenetic information. The unique diversification history of Canidae in South America and Africa and their diverse environmental conditions likely contribute to the observed trait patterns that make both continents so distinguished when compared to N. America and Eurasia. Our findings underscore the need to incorporate phylogenetic information in models assessing trait variation across geographic scales for unbiased estimations.

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    ZENODO; DRYAD
    Dataset . 2023
    License: CC 0
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      ZENODO; DRYAD
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    Authors: Maturilli, Marion; Dünschede, Erik;