cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.20270731.v1
title: How significant a role can China’s forest sector play in decarbonizing its economy?

description: To assess the potential role of China’s forest sector in achieving its goals of carbon (C) emission reduction and neutralization, it is essential to project C sequestered by forest ecosystems (FESs) and stored in harvested wood products (HWPs). It is also crucial to put these actions into a coherent framework of C accounting. Building on these steps, we show that during 2006–2020, the sector’s biomass and soil C sequestration reached 2.589 petagrams (Pg) and 1.275 Pg respectively, and its C storage in HWPs added 0.491 Pg. These outcomes could have offset 11.76% of the country’s cumulative C emissions. As China’s emissions pass their peak in this decade, the proportion of carbon offset by FESs and HWPs will likely decrease below 10.00%. During 2006–2060, however, FES biomass and soil C sequestration would be 7.574 and 3.730 Pg, and C storage in HWPs would be 1.709 Pg, even under conservative assumptions. These estimates could lead to an overall offset ratio of 14.72%. In addition to highlighting the relevance of pursuing more aggressive nature-based solutions, this study can serve as an example of C accounting and tracking toward meeting countries’ targets as specified in their Nationally Determined Contributions under the Paris Agreement. China’s forest ecosystems and in-service wood products play an important role in removing and offsetting carbon (C) emissions.The forest sector actions are also cost-effective, especially if forest growth can be improved by adopting broad management practices.During the 2050s, these actions could more than offset the country’s total emissions, allowing it to achieve C neutrality earlier than originally planned.To enhance the efficiency and productivity of forestry, China needs to further restructure its institutional arrangements and public policies.To fully account for forest sector’s potentials, China must capture all possible C pools of the ecosystems, including in soil, urban trees/forests, and other trees outside of forests. China’s forest ecosystems and in-service wood products play an important role in removing and offsetting carbon (C) emissions. The forest sector actions are also cost-effective, especially if forest growth can be improved by adopting broad management practices. During the 2050s, these actions could more than offset the country’s total emissions, allowing it to achieve C neutrality earlier than originally planned. To enhance the efficiency and productivity of forestry, China needs to further restructure its institutional arrangements and public policies. To fully account for forest sector’s potentials, China must capture all possible C pools of the ecosystems, including in soil, urban trees/forests, and other trees outside of forests.
DOI: 10.17909/qqwh-tr86
title: Light curves for TOI784
DOI: 10.6084/m9.figshare.21931290.v1
title: Supplementary Material for: Comparative Efficacy of Subthreshold Micropulse Laser Photocoagulation vs. Conventional Laser Photocoagulation for Diabetic Macular Edema: A Meta-analysis

description: Background Laser photocoagulation is an effective procedure for the treatment of diabetic macular edema (DME). However, the beneficial effects of conventional laser photocoagulation (CLP) are accompanied by the destruction of retinal photoreceptors. Therefore, subthreshold micropulse laser photocoagulation (SMLP) was proposed for DME. Objectives This meta-analysis study was performed to evaluate the efficacy and safety of SMLP compared with CLP for the management of DME. Methods The PubMed, Embase, Web of Science, Cochrane, SinoMed, ClinicalTrials.gov, Wanfang and China National Knowledge Infrastructure (CNKI) databases, published until Dec 2021, were searched to identify studies evaluating the clinical outcomes of SMLP for DME. Results 8 randomized controlled trials (RCTs) were selected for this meta-analysis involving a total of 546 eyes (275 eyes in SMLP group and 271 eyes in CLP group). SMLP of different wavelengths (577nm and 810nm) and duty cycles (5% and 15%) were applied. The pooled outcomes showed that SMLP group, especially 577nm and 810nm 15% duty cycle parameter settings, had a statistically significant higher efficacy than CLP group in terms of BCVA(MD = -0.02, 95% CI: -0.03 to -0.01, P&lt;0.01; MD = -0.09, 95% CI: -0.09 to -0.09, P&lt;0.01) and showed more significant advantages than CLP group in resolving macular edema assessed by reduction of CMT (MD = -32.87, 95% CI: -37.61 to -28.13, P&lt;0.01; MD = -8.01, 95% CI: -9.06 to -6.96, P&lt;0.01), whereas the efficacy of 577nm and 810nm 5% duty cycle SMLP subgroups remained numerically superior to CLP group, but non-significantly (P&gt;0.05); In the field of CS, SMLP group (no matter parameter settings) resulted in better preservation of CS compared to CLP group (MD = 1.96, 95% CI: 1.47 to 2.46, P&lt;0.01). Conclusions Compared with CLP, SMLP may get superior efficacy and safety on improvement of BCVA, reduction of CMT and preservation of CS. In clinical, SMLP can be considered as a safe and effective therapy in the management of DME.
DOI: 10.6073/pasta/e0e71e3d371189429956514d29b03d75
title: North-Temperate and Boreal annual median TP concentrations and seasonal climate means from 389 lakes, 1998-2017

description: This dataset accompanies a paper submitted for publication to Limnology and Oceanography Letters, expected publication year 2023, by Isles et al., entitled "Widespread synchrony in phosphorus concentrations in northern lakes linked to winter temperature and summer precipitation." This dataset comprises April-November median TP concentrations for 389 lakes in Fennoscandia, the north-central and northeastern USA, and central to eastern Canada, between 1998 and. 2017. The dataset also includes seasonal means for climate variables divided into winter (DJF), spring (MAM), summer (JJA), and fall (SON) means of air temperature, wind speed, and precipitation. The data all originate with publicly collected datasets, and many data source have data from additional time periods or for additional variables collected over longer time periods available from websites or through contact forms.
DOI: 10.6084/m9.figshare.22241497
title: VCaP_ATAC_100nM-Dex_rep1

description: VCaP_ATAC_100nM-Dex_rep1
DOI: 10.6084/m9.figshare.22241497.v1
title: VCaP_ATAC_100nM-Dex_rep1

description: VCaP_ATAC_100nM-Dex_rep1
DOI: 10.17909/2rfj-4m38
title: TESS Light curves (2-min cadence) for TOI784

description: Data are used in the paper entitled "A transiting super-Earth in the radius valley and an outer planet candidate around HD 307842" for photometry analyses.
DOI: 10.6084/m9.figshare.22241515
title: VCaP_ATAC_100nM-Dex_rep2

description: VCaP_ATAC_100nM-Dex_rep2
DOI: 10.6084/m9.figshare.22241515.v1
title: VCaP_ATAC_100nM-Dex_rep2

description: VCaP_ATAC_100nM-Dex_rep2
DOI: 10.5281/zenodo.7712799
title: Supporting data for 'Chemically Reduced Graphene Oxide based Aerogels (rGOAs) - insight on the surface and textural functionalities dependent on handling the synthesis factors'

description: Experimental data for the 'Chemically Reduced Graphene Oxide based Aerogels (rGOAs) - insight on the surface and textural functionalities dependent on handling the synthesis factors' manuscript/publication. Package contains following data:<br> 1. File with description of the experimental conditions for rGOAs synthesis, format: .pdf, number of files: 1 <br> 2. Data of Boehm titration for graphene oxide used for synthesis of rGOAs, format: .txt, number of files: 12<br> 3. Fourier-transform infrared spectra of rGOA samples and GO used for synthesis, format: .csv, number of files: 16<br> 4. Raw chromatograms of test probes for rGOA samples, format .txt, number of files: 15 folder with 11 files in each
DOI: 10.5281/zenodo.7712798
title: Supporting data for 'Chemically Reduced Graphene Oxide based Aerogels (rGOAs) - insight on the surface and textural functionalities dependent on handling the synthesis factors'

description: Experimental data for the 'Chemically Reduced Graphene Oxide based Aerogels (rGOAs) - insight on the surface and textural functionalities dependent on handling the synthesis factors' manuscript/publication. Package contains following data:<br> 1. File with description of the experimental conditions for rGOAs synthesis, format: .pdf, number of files: 1 <br> 2. Data of Boehm titration for graphene oxide used for synthesis of rGOAs, format: .txt, number of files: 12<br> 3. Fourier-transform infrared spectra of rGOA samples and GO used for synthesis, format: .csv, number of files: 16<br> 4. Raw chromatograms of test probes for rGOA samples, format .txt, number of files: 15 folder with 11 files in each
DOI: 10.5281/zenodo.7678523
title: Samenvattende tabel bij het PrIUS-rapport

description: Deze tabellen verzamelen alle basisgegevens uit het <strong>PrIUS-rapport</strong>, voor externe raadpleging. D'hondt, B., Hillaert, J., Devisscher, S. & Adriaens, T. (2022) Een kader voor de aanpak van invasieve uitheemse soorten in Vlaanderen: een prioritering voor het natuurbeleid (PrIUS). Instituut voor Natuur- en Bosonderzoek. 165 blz. (Rapporten van het Instituut voor Natuur- en Bosonderzoek; no. 36) https://doi.org/10.21436/inbor.88096226 De tabellen zijn aangeleverd in <em>xlsx</em>- en <em>csv</em>-formaat. Beiden geven 38 kernvariabelen weer die in het rapport zijn uitgewerkt. Voor alle details wordt naar het rapport verwezen. <strong><em>xlsx</em></strong><em> </em>(tabblad 'PrIUS') Variabelen met betrekking tot Soort (rapport 3.1, 3.2; Tabel 1, 2): <em>nr.</em>, <em>groep</em>, <em>soort</em>, <em>species</em>, <em>lijst</em>, <em>GBIF-codes;</em> m.b.t. Milieu<strong> </strong>(rapport 5.1.1; Tabel 3; fiches): <em>marien</em>, <em>brakwater</em>, <em>zoetwater</em>, <em>terrestrisch</em>; m.b.t. Klimaat<strong> </strong>(rapport 5.1.2; Tabel 4; fiches): <em>Cfa</em>, <em>Cfb</em>, <em>∑(Cfa,Cfb)</em>; m.b.t. Impact<strong> </strong>(rapport 5.2; Tabel 6, 7; fiches): <em>"natuur"</em>, <em>"volksgezondheid"</em>, <em>"veiligheid"</em>, <em>"infrastructuur"</em>, <em>"(socio)economisch"</em>; m.b.t. Aanwezigheid<strong> </strong>(rapport 5.3; Tabel 8; Figuur 6, 7, 8; fiches): <em>aan_Vlaanderen</em>, <em>hokken_VL</em>, <em>hokken_N2000</em>, <em>%_in_N2000</em>, <em>%_in_HRL</em>, <em>%_in_VRL</em>, <em>‰_van_N2000</em>, <em>‰_van_HRL</em>, <em>‰_van_VRL</em>; m.b.t. Status van toename (rapport 5.4; Tabel 9; fiches): <em>svt_Vlaanderen</em>, <em>svt_N2000;</em> m.b.t. Beheerbaarheid<strong> </strong>(rapport 5.5; Figuur 9): <em>indamming_min.</em>, <em>indamming_gem.</em>, <em>indamming_st.afw.</em>, <em>indamming_max.</em>, <em>uitroeiing_min.</em>, <em>uitroeiing_gem.</em>, <em>uitroeiing_st.afw.</em>, <em>uitroeiing_max.</em>; m.b.t. Integratie<strong> </strong>(rapport 6.2): <em>int_groep</em>. <strong><em>csv</em></strong> De <em>csv</em>-tabel geeft dezelfde data weer als de <em>xlsx</em>-tabel (tabblad 'PrIUS'). In functie van een vlotte dataverwerking (met name in de programmeeromgeving R) zijn ten opzichte van dit bestand de volgende wijzigingen doorgevoerd: inleidende rijen zijn verwijderd; variabelenamen zijn licht gewijzigd (vereenvoudigd); voor de numerieke variabelen is "nvt" (niet van toepassing) omgezet naar "NA". Noot: dit betekent een verlies van informatie, voor die variabelen waar er een reëel onderscheid is tussen velden die niet van toepassing zijn (gegeven de PrIUS-workflow) en velden waarvoor geen waarde bekomen is (bv. vanwege databeperkingen). Zie de <em>xlsx</em>-tabel voor dit onderscheid.
description: {"references": ["D'hondt et al. (2022) Een kader voor de aanpak van invasieve uitheemse soorten in Vlaanderen: een prioritering voor het natuurbeleid (PrIUS). Rapporten van het Instituut voor Natuur- en Bosonderzoek; no. 36. https://doi.org/10.21436/inbor.88096226"]}
DOI: 10.5281/zenodo.7678524
title: Samenvattende tabel bij het PrIUS-rapport

description: Deze tabellen verzamelen alle basisgegevens uit het <strong>PrIUS-rapport</strong>, voor externe raadpleging. D'hondt, B., Hillaert, J., Devisscher, S. & Adriaens, T. (2022) Een kader voor de aanpak van invasieve uitheemse soorten in Vlaanderen: een prioritering voor het natuurbeleid (PrIUS). Instituut voor Natuur- en Bosonderzoek. 165 blz. (Rapporten van het Instituut voor Natuur- en Bosonderzoek; no. 36) https://doi.org/10.21436/inbor.88096226 De tabellen zijn aangeleverd in <em>xlsx</em>- en <em>csv</em>-formaat. Beiden geven 38 kernvariabelen weer die in het rapport zijn uitgewerkt. Voor alle details wordt naar het rapport verwezen. <strong><em>xlsx</em></strong><em> </em>(tabblad 'PrIUS') Variabelen met betrekking tot Soort (rapport 3.1, 3.2; Tabel 1, 2): <em>nr.</em>, <em>groep</em>, <em>soort</em>, <em>species</em>, <em>lijst</em>, <em>GBIF-codes;</em> m.b.t. Milieu<strong> </strong>(rapport 5.1.1; Tabel 3; fiches): <em>marien</em>, <em>brakwater</em>, <em>zoetwater</em>, <em>terrestrisch</em>; m.b.t. Klimaat<strong> </strong>(rapport 5.1.2; Tabel 4; fiches): <em>Cfa</em>, <em>Cfb</em>, <em>∑(Cfa,Cfb)</em>; m.b.t. Impact<strong> </strong>(rapport 5.2; Tabel 6, 7; fiches): <em>"natuur"</em>, <em>"volksgezondheid"</em>, <em>"veiligheid"</em>, <em>"infrastructuur"</em>, <em>"(socio)economisch"</em>; m.b.t. Aanwezigheid<strong> </strong>(rapport 5.3; Tabel 8; Figuur 6, 7, 8; fiches): <em>aan_Vlaanderen</em>, <em>hokken_VL</em>, <em>hokken_N2000</em>, <em>%_in_N2000</em>, <em>%_in_HRL</em>, <em>%_in_VRL</em>, <em>‰_van_N2000</em>, <em>‰_van_HRL</em>, <em>‰_van_VRL</em>; m.b.t. Status van toename (rapport 5.4; Tabel 9; fiches): <em>svt_Vlaanderen</em>, <em>svt_N2000;</em> m.b.t. Beheerbaarheid<strong> </strong>(rapport 5.5; Figuur 9): <em>indamming_min.</em>, <em>indamming_gem.</em>, <em>indamming_st.afw.</em>, <em>indamming_max.</em>, <em>uitroeiing_min.</em>, <em>uitroeiing_gem.</em>, <em>uitroeiing_st.afw.</em>, <em>uitroeiing_max.</em>; m.b.t. Integratie<strong> </strong>(rapport 6.2): <em>int_groep</em>. <strong><em>csv</em></strong> De <em>csv</em>-tabel geeft dezelfde data weer als de <em>xlsx</em>-tabel (tabblad 'PrIUS'). In functie van een vlotte dataverwerking (met name in de programmeeromgeving R) zijn ten opzichte van dit bestand de volgende wijzigingen doorgevoerd: inleidende rijen zijn verwijderd; variabelenamen zijn licht gewijzigd (vereenvoudigd); voor de numerieke variabelen is "nvt" (niet van toepassing) omgezet naar "NA". Noot: dit betekent een verlies van informatie, voor die variabelen waar er een reëel onderscheid is tussen velden die niet van toepassing zijn (gegeven de PrIUS-workflow) en velden waarvoor geen waarde bekomen is (bv. vanwege databeperkingen). Zie de <em>xlsx</em>-tabel voor dit onderscheid.
description: {"references": ["D'hondt et al. (2022) Een kader voor de aanpak van invasieve uitheemse soorten in Vlaanderen: een prioritering voor het natuurbeleid (PrIUS). Rapporten van het Instituut voor Natuur- en Bosonderzoek; no. 36. https://doi.org/10.21436/inbor.88096226"]}
DOI: 10.6084/m9.figshare.22241524
title: VCaP_ATAC_ENZ3w_0nM_rep1

description: VCaP_ATAC_ENZ3w_0nM_rep1
DOI: 10.6084/m9.figshare.22241524.v1
title: VCaP_ATAC_ENZ3w_0nM_rep1

description: VCaP_ATAC_ENZ3w_0nM_rep1
DOI: 10.5281/zenodo.6803363
title: Data, code and software to reproduce the article entitled "Modelling intercropping functioning to support sustainable agriculture"

description: This is the data, code and software to reproduce the article entitled "Modelling intercropping functioning to support sustainable agriculture". Here is a summary of the paper: The growing demand for sustainable agriculture is raising interest in intercropping for its multiple potential benefits, including decreasing nitrogen and pesticide inputs while maintaining, or even surpassing the productivity of sole crops. Yet, predicting the existence and magnitude of those benefits remains difficult due to the numerous interactions between plants, their environment and agricultural practices. Crop models are efficient tools used to understand and predict the trends of crop development, growth and yield, under various pedoclimatic conditions, management practices, and climate change scenarios. However, few of those models are able to simulate bi-specific intercropping systems, mainly because it would break assumptions generally used to simulate homogeneous sole crops, such as spatially homogeneous structure and plant-plant interactions only via density. In this study, we improved the STICS soil-crop model to account for bi-specific intercrops (STICS-IC), and proposed new formalisms when needed, <em>i.e.</em> to simulate correctly dynamic interspecific plant-plant interactions. We proposed simple, generic formalisms that can readily be calibrated and further integrated into other crop models. The improved formalisms of STICS-IC concern mainly light interception, plant and root density effects, nitrogen (N) uptake and N stress assessment in intercrop. We provide an example of simulations for bi-specific intercrops with an evaluation of the consistency and genericity of the model to simulate a wide range of species and intercropping designs, and then determine its validity domain. The genotypic parameters of STICS-IC were calibrated using only the sole crops and the model was evaluated independently on intercropping systems with the same parameters’ values. The simulated daily variables representing the soil-crop interactions in intercrops, <em>i.e.</em> LAI, plant height, shoot dry mass, nitrogen uptake, and yield were assessed with a dataset of various types of intercrops. Simulations were close to the observed values over all situations (nRMSE = 30% for LAI, 10% for final height, 22% for final shoot dry mass, and 17% for yield), which showed the consistency of the STICS-IC model despite the relative simplicity of the formalisms and their calibration on sole crops only.
DOI: 10.5281/zenodo.6963705
title: Data, code and software to reproduce the article entitled "Modelling intercrops functioning to advance the design of innovative agroecological systems"

description: This is the data, code and software to reproduce the article entitled "Modelling intercropping functioning to support sustainable agriculture". Here is a summary of the paper: The growing demand for sustainable agriculture is raising interest in intercropping for its multiple potential benefits, including decreasing nitrogen and pesticide inputs while maintaining, or even surpassing the productivity of sole crops. Yet, predicting the existence and magnitude of those benefits remains difficult due to the numerous interactions between plants, their environment and agricultural practices. Crop models are efficient tools used to understand and predict the trends of crop development, growth and yield, under various pedoclimatic conditions, management practices, and climate change scenarios. However, few of those models are able to simulate bi-specific intercropping systems, mainly because it would break assumptions generally used to simulate homogeneous sole crops, such as spatially homogeneous structure and plant-plant interactions only via density. In this study, we improved the STICS soil-crop model to account for bi-specific intercrops (STICS-IC), and proposed new formalisms when needed, <em>i.e.</em> to simulate correctly dynamic interspecific plant-plant interactions. We proposed simple, generic formalisms that can readily be calibrated and further integrated into other crop models. The improved formalisms of STICS-IC concern mainly light interception, plant and root density effects, nitrogen (N) uptake and N stress assessment in intercrop. We provide an example of simulations for bi-specific intercrops with an evaluation of the consistency and genericity of the model to simulate a wide range of species and intercropping designs, and then determine its validity domain. The genotypic parameters of STICS-IC were calibrated using only the sole crops and the model was evaluated independently on intercropping systems with the same parameters’ values. The simulated daily variables representing the soil-crop interactions in intercrops, <em>i.e.</em> LAI, plant height, shoot dry mass, nitrogen uptake, and yield were assessed with a dataset of various types of intercrops. Simulations were close to the observed values over all situations (nRMSE = 30% for LAI, 10% for final height, 22% for final shoot dry mass, and 17% for yield), which showed the consistency of the STICS-IC model despite the relative simplicity of the formalisms and their calibration on sole crops only.
DOI: 10.5281/zenodo.7007512
title: Data, code and software to reproduce the article entitled "Modelling intercrops functioning to advance the design of innovative agroecological systems"

description: This is the data, code and software to reproduce the article entitled "Modelling intercropping functioning to support sustainable agriculture". Here is a summary of the paper: The growing demand for sustainable agriculture is raising interest in intercropping for its multiple potential benefits, including decreasing nitrogen and pesticide inputs while maintaining, or even surpassing the productivity of sole crops. Yet, predicting the existence and magnitude of those benefits remains difficult due to the numerous interactions between plants, their environment and agricultural practices. Crop models are efficient tools used to understand and predict the trends of crop development, growth and yield, under various pedoclimatic conditions, management practices, and climate change scenarios. However, few of those models are able to simulate bi-specific intercropping systems, mainly because it would break assumptions generally used to simulate homogeneous sole crops, such as spatially homogeneous structure and plant-plant interactions only via density. In this study, we improved the STICS soil-crop model to account for bi-specific intercrops (STICS-IC), and proposed new formalisms when needed, <em>i.e.</em> to simulate correctly dynamic interspecific plant-plant interactions. We proposed simple, generic formalisms that can readily be calibrated and further integrated into other crop models. The improved formalisms of STICS-IC concern mainly light interception, plant and root density effects, nitrogen (N) uptake and N stress assessment in intercrop. We provide an example of simulations for bi-specific intercrops with an evaluation of the consistency and genericity of the model to simulate a wide range of species and intercropping designs, and then determine its validity domain. The genotypic parameters of STICS-IC were calibrated using only the sole crops and the model was evaluated independently on intercropping systems with the same parameters’ values. The simulated daily variables representing the soil-crop interactions in intercrops, <em>i.e.</em> LAI, plant height, shoot dry mass, nitrogen uptake, and yield were assessed with a dataset of various types of intercrops. Simulations were close to the observed values over all situations (nRMSE = 30% for LAI, 10% for final height, 22% for final shoot dry mass, and 17% for yield), which showed the consistency of the STICS-IC model despite the relative simplicity of the formalisms and their calibration on sole crops only.