cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.13083796
title: A data-mining approach towards damage modelling for <i>El Niño</i> events in Peru

description: Compound natural hazards like <i>El Niño</i> events cause high damage to society, which to manage requires reliable risk assessments. Damage modelling is a prerequisite for quantitative risk estimations, yet many procedures still rely on expert knowledge, and empirical studies investigating damage from compound natural hazards hardly exist. A nationwide building survey in Peru after the <i>El Niño</i> event 2017 – which caused intense rainfall, ponding water, flash floods and landslides – enables us to apply data-mining methods for statistical groundwork, using explanatory features generated from remote sensing products and open data. We separate regions of different dominant characteristics through unsupervised clustering, and investigate feature importance rankings for classifying damage via supervised machine learning. Besides the expected effect of precipitation, the classification algorithms select the topographic wetness index as most important feature, especially in low elevation areas. The slope length and steepness factor ranks high for mountains and canyons. Partial dependence plots further hint at amplified vulnerability in rural areas. An example of an empirical damage probability map, developed with a random forest model, is provided to demonstrate the technical feasibility.
DOI: 10.6084/m9.figshare.13158047
title: Cropland data fusion and correction using spatial analysis techniques and the Google Earth Engine

description: Accurate regional identification of cropland quantities and spatial distributions is important for cropland monitoring, food security, and sustainable regional development. Various countries and organizations have produced series of land-cover products. However, variability among remote sensors, land-cover classification schemes, and classification methods has resulted in discrepancies. In this study, we develop a novel method to improve cropland data accuracy for the Belt and Road (B&R) region, by fusing and correcting four cropland products: CCI-LC, GFSAD30, MCD12Q1, and FROM-GLC. Spatial analysis techniques are implemented, including climate stratification, consistency assessment, and statistical filtering, to develop training samples for model correction. The Google Earth Engine (GEE) platform and random forest (RF) algorithm are executed with these training samples to correct fused multi-data product and generate a corrected 2015 cropland product. The corrected product indicates that cropland accounts for 14.94% of the B&R region, which is closer to the results found via FAO statistics than the results from any of the four individual land-cover products. On the national scale, the root mean square error between the corrected cropland product quantities and FAO statistics is 11.39% and the correlation coefficient value is 0.77. This indicates that the method exhibits better fitting characteristics. The accuracies of the areas of inconsistency among the four cropland products and our corrected product are assessed using 3112 visually interpreted samples and Google Earth. The overall accuracy of the corrected cropland product is 77.54% in inconsistent areas. The highest accuracy produced by the corrected cropland product indicates the effectiveness of our method, which can rapidly improve cropland data accuracy in heterogeneous regions. Combining the training samples produced by fusing existing cropland products and updating techniques with multi-source remote sensing data from the GEE platform, we foresee potential applications to update global cropland product.
DOI: 10.6084/m9.figshare.13158047.v1
title: Cropland data fusion and correction using spatial analysis techniques and the Google Earth Engine

description: Accurate regional identification of cropland quantities and spatial distributions is important for cropland monitoring, food security, and sustainable regional development. Various countries and organizations have produced series of land-cover products. However, variability among remote sensors, land-cover classification schemes, and classification methods has resulted in discrepancies. In this study, we develop a novel method to improve cropland data accuracy for the Belt and Road (B&R) region, by fusing and correcting four cropland products: CCI-LC, GFSAD30, MCD12Q1, and FROM-GLC. Spatial analysis techniques are implemented, including climate stratification, consistency assessment, and statistical filtering, to develop training samples for model correction. The Google Earth Engine (GEE) platform and random forest (RF) algorithm are executed with these training samples to correct fused multi-data product and generate a corrected 2015 cropland product. The corrected product indicates that cropland accounts for 14.94% of the B&R region, which is closer to the results found via FAO statistics than the results from any of the four individual land-cover products. On the national scale, the root mean square error between the corrected cropland product quantities and FAO statistics is 11.39% and the correlation coefficient value is 0.77. This indicates that the method exhibits better fitting characteristics. The accuracies of the areas of inconsistency among the four cropland products and our corrected product are assessed using 3112 visually interpreted samples and Google Earth. The overall accuracy of the corrected cropland product is 77.54% in inconsistent areas. The highest accuracy produced by the corrected cropland product indicates the effectiveness of our method, which can rapidly improve cropland data accuracy in heterogeneous regions. Combining the training samples produced by fusing existing cropland products and updating techniques with multi-source remote sensing data from the GEE platform, we foresee potential applications to update global cropland product.
DOI: 10.6084/m9.figshare.13637114
title: Leopard tortoise <i>Stigmochelys pardalis</i> (Bell, 1928) mortality caused by electrified fences in central South Africa and its impact on tortoise demography

description: The leopard tortoise (<i>Stigmochelys pardalis</i>) is among the most ubiquitously distributed chelonian species in Africa. As with other chelonians, however, the species’ slow growth rate, coupled with low survivorship of juveniles, make it susceptible to declines under regimes of environmental perturbation. Here we studied the impact of electrified fences, a key source of mortality for many South African terrestrial vertebrate taxa, on leopard tortoise mortality in the Free State Province (Jacobsdal district) and Northern Cape Province (Strydenburg district), and its implications for survivorship of this population. Our results show a strong selection bias towards larger (breeding age) individuals that, given the life history of the species, should have strong (negative) consequences for populations. Using data for tortoise populations from other regions as a baseline for survivorship rates in populations unaffected by fencing, we derived a size-structure matrix model to evaluate the impact on population growth rates. Population projections, taking into account variation in survivorship and reproductive rates across and within size classes, indicated substantially higher risk of negative population growth (and eventual extinction) in populations affected by electrified fences. These results confirm that fencing is a conservation problem for the leopard tortoise population in this, and probably other regions, and highlights an urgent need for more intensive regulation of electrified fencing practices among landowners.
DOI: 10.6084/m9.figshare.13637114.v1
title: Leopard tortoise <i>Stigmochelys pardalis</i> (Bell, 1928) mortality caused by electrified fences in central South Africa and its impact on tortoise demography

description: The leopard tortoise (<i>Stigmochelys pardalis</i>) is among the most ubiquitously distributed chelonian species in Africa. As with other chelonians, however, the species’ slow growth rate, coupled with low survivorship of juveniles, make it susceptible to declines under regimes of environmental perturbation. Here we studied the impact of electrified fences, a key source of mortality for many South African terrestrial vertebrate taxa, on leopard tortoise mortality in the Free State Province (Jacobsdal district) and Northern Cape Province (Strydenburg district), and its implications for survivorship of this population. Our results show a strong selection bias towards larger (breeding age) individuals that, given the life history of the species, should have strong (negative) consequences for populations. Using data for tortoise populations from other regions as a baseline for survivorship rates in populations unaffected by fencing, we derived a size-structure matrix model to evaluate the impact on population growth rates. Population projections, taking into account variation in survivorship and reproductive rates across and within size classes, indicated substantially higher risk of negative population growth (and eventual extinction) in populations affected by electrified fences. These results confirm that fencing is a conservation problem for the leopard tortoise population in this, and probably other regions, and highlights an urgent need for more intensive regulation of electrified fencing practices among landowners.
DOI: 10.6084/m9.figshare.12974605.v1
title: Targeted mutagenesis of <i>CENTRORADIALIS</i> using CRISPR/Cas9 system through the improvement of genetic transformation efficiency of tetraploid highbush blueberry

description: Genome editing technology, which enables researchers to modify specific genomic loci, may be useful for accelerating the breeding of many fruit crops. The aim of this study was to evaluate the CRISPR/Cas9-mediated editing of the blueberry (<i>Vaccinium</i> spp.) genome. We first optimised the plant regeneration system to increase the genetic transformation efficiency for ‘Blue Muffin’ and ‘O’Neal’. We also tested the utility of the axillary bud transformation technique for modifying blueberry genes. We revealed that the axillary bud transformation method accelerated the blueberry transformation process and increased the transformation rate. Of the 47 transgenic lines obtained for two cultivars, six lines contained a mutated <i>CENTRORADIALIS</i> (<i>CEN</i>) region. A sequence analysis revealed 1- to 2-bp insertions/deletions in <i>CEN</i> alleles, with an average mutated allele ratio of 19% and 22% for gRNA1 and gRNA2, respectively. Two of four gRNAs (gRNA 3, 4) did not produce mutations, suggesting that selecting appropriate gRNA sequences is critical for genome editing. The growth phenotypes of the <i>CEN</i>-mutated lines imply a non-functional <i>CEN</i> allele in the blueberry genome may restrict vegetative growth. The results described herein confirm the utility of the CRISPR/Cas9 genome editing protocol for functionally characterising blueberry genes.
DOI: 10.6084/m9.figshare.12974605
title: Targeted mutagenesis of <i>CENTRORADIALIS</i> using CRISPR/Cas9 system through the improvement of genetic transformation efficiency of tetraploid highbush blueberry

description: Genome editing technology, which enables researchers to modify specific genomic loci, may be useful for accelerating the breeding of many fruit crops. The aim of this study was to evaluate the CRISPR/Cas9-mediated editing of the blueberry (<i>Vaccinium</i> spp.) genome. We first optimised the plant regeneration system to increase the genetic transformation efficiency for ‘Blue Muffin’ and ‘O’Neal’. We also tested the utility of the axillary bud transformation technique for modifying blueberry genes. We revealed that the axillary bud transformation method accelerated the blueberry transformation process and increased the transformation rate. Of the 47 transgenic lines obtained for two cultivars, six lines contained a mutated <i>CENTRORADIALIS</i> (<i>CEN</i>) region. A sequence analysis revealed 1- to 2-bp insertions/deletions in <i>CEN</i> alleles, with an average mutated allele ratio of 19% and 22% for gRNA1 and gRNA2, respectively. Two of four gRNAs (gRNA 3, 4) did not produce mutations, suggesting that selecting appropriate gRNA sequences is critical for genome editing. The growth phenotypes of the <i>CEN</i>-mutated lines imply a non-functional <i>CEN</i> allele in the blueberry genome may restrict vegetative growth. The results described herein confirm the utility of the CRISPR/Cas9 genome editing protocol for functionally characterising blueberry genes.
DOI: 10.6084/m9.figshare.13159712
title: A new allelic discrimination real-time PCR assay for <i>PavMYB10.1</i> genotyping to predict sweet cherry fruit colour: a comparison with the Pav-R<sub>f</sub>-SSR assay

description: Fruit skin colour in cherries (Prunus avium L.) is one of the most important market characteristics with customer preferences varying across cultures and countries. Based on skin colour, cherries can be divided into three market classes: yellow, blush, and mahogany. The <i>PavMYB10.1</i> gene has been recently shown to be a key player in fruit colouration, and three alleles (<i>PavMYB10.1a</i> [WT(5A)]; <i>PavMYB10.1b</i> [Mut(4A)]; and <i>PavMYB10.1c</i> [InDel]) have been associated with cherry skin colour. In the present study, an allelic discrimination real-time PCR assay was developed for marker-assisted selection (MAS). The Pav-R<sub>f</sub>-SSR assay that had previously been described for colour prediction was also employed for comparison. Both assays were used to screen 302 phenotyped accessions in a germplasm collection. The real-time PCR assay reliably discriminated all six <i>PavMYB10.1</i> genotypes, and accurately predicted skin colour in all <i>PavMYB10.1</i> homozygous genotypes; however, for heterozygotes, the assay was uninformative. As for the Pav-R<sub>f</sub>-SSR assay, only two out of six observed alleles were informative, and only for mahogany market class. Using combined approach, fruit skin colour could be successfully predicted in 67.9% of all germplasm samples. The real-time PCR assay for <i>PavMYB10.1</i> genotyping thus represents suitable tool for laboratories interested in MAS for skin colour in sweet cherries.
DOI: 10.6084/m9.figshare.13159712.v1
title: A new allelic discrimination real-time PCR assay for <i>PavMYB10.1</i> genotyping to predict sweet cherry fruit colour: a comparison with the Pav-R<sub>f</sub>-SSR assay

description: Fruit skin colour in cherries (Prunus avium L.) is one of the most important market characteristics with customer preferences varying across cultures and countries. Based on skin colour, cherries can be divided into three market classes: yellow, blush, and mahogany. The <i>PavMYB10.1</i> gene has been recently shown to be a key player in fruit colouration, and three alleles (<i>PavMYB10.1a</i> [WT(5A)]; <i>PavMYB10.1b</i> [Mut(4A)]; and <i>PavMYB10.1c</i> [InDel]) have been associated with cherry skin colour. In the present study, an allelic discrimination real-time PCR assay was developed for marker-assisted selection (MAS). The Pav-R<sub>f</sub>-SSR assay that had previously been described for colour prediction was also employed for comparison. Both assays were used to screen 302 phenotyped accessions in a germplasm collection. The real-time PCR assay reliably discriminated all six <i>PavMYB10.1</i> genotypes, and accurately predicted skin colour in all <i>PavMYB10.1</i> homozygous genotypes; however, for heterozygotes, the assay was uninformative. As for the Pav-R<sub>f</sub>-SSR assay, only two out of six observed alleles were informative, and only for mahogany market class. Using combined approach, fruit skin colour could be successfully predicted in 67.9% of all germplasm samples. The real-time PCR assay for <i>PavMYB10.1</i> genotyping thus represents suitable tool for laboratories interested in MAS for skin colour in sweet cherries.
DOI: 10.6084/m9.figshare.12106908
title: Preharvest illumination of cherry tomato reduces ripening period, enhances fruit carotenoid concentration and overall fruit quality

description: The prevention of certain chronic diseases has been related to tomato (<i>Solanum lycopersicum</i> L.) consumption. The demand for high-quality tomatoes has, therefore, increased rapidly. As a climacteric fruit, tomato will only ripen to full colour postharvest. Trusses of mature-green greenhouse tomatoes of a red (‘Cherry Little Wonder’) and a yellow cultivar (‘Goldilocks’) were illuminated, preharvest, with either red (RL) (peak at 634 nm, 120 ± 20 µmol m<sup>–2</sup> s<sup>–1</sup>) or blue (BL) LED lights (peak at 450 nm, 120 ± 20 µmol m<sup>–2</sup> s<sup>–1</sup>) for 8 h per day for seven consecutive days. These on-plant RL and BL treatments significantly affected fruit colour and pigment concentration. Both light treatments enhanced the accumulation of lycopene, thereby significantly enhancing the nutritive value of the fruit. Similarly to lycopene, the <i>β</i>-carotene concentrations also increased following RL and BL exposure, again more so in the red than the yellow cultivar. Both light treatments also enhanced the speed of colour change by 5 days for the red and by 10 days for the yellow cultivar, resulting in either the desired red or the yellow colour. Our findings could be employed to improve quality and shorten the ripening period of tomato, while mechanisms involved in the biosynthesis and accumulation of these carotenoids require further investigation.
DOI: 10.6084/m9.figshare.12106908.v2
title: Preharvest illumination of cherry tomato reduces ripening period, enhances fruit carotenoid concentration and overall fruit quality

description: The prevention of certain chronic diseases has been related to tomato (<i>Solanum lycopersicum</i> L.) consumption. The demand for high-quality tomatoes has, therefore, increased rapidly. As a climacteric fruit, tomato will only ripen to full colour postharvest. Trusses of mature-green greenhouse tomatoes of a red (‘Cherry Little Wonder’) and a yellow cultivar (‘Goldilocks’) were illuminated, preharvest, with either red (RL) (peak at 634 nm, 120 ± 20 µmol m<sup>–2</sup> s<sup>–1</sup>) or blue (BL) LED lights (peak at 450 nm, 120 ± 20 µmol m<sup>–2</sup> s<sup>–1</sup>) for 8 h per day for seven consecutive days. These on-plant RL and BL treatments significantly affected fruit colour and pigment concentration. Both light treatments enhanced the accumulation of lycopene, thereby significantly enhancing the nutritive value of the fruit. Similarly to lycopene, the <i>β</i>-carotene concentrations also increased following RL and BL exposure, again more so in the red than the yellow cultivar. Both light treatments also enhanced the speed of colour change by 5 days for the red and by 10 days for the yellow cultivar, resulting in either the desired red or the yellow colour. Our findings could be employed to improve quality and shorten the ripening period of tomato, while mechanisms involved in the biosynthesis and accumulation of these carotenoids require further investigation.
DOI: 10.6084/m9.figshare.12106908.v1
title: Preharvest illumination of cherry tomato reduces ripening period, enhances fruit carotenoid concentration and overall fruit quality

description: The prevention of certain chronic diseases has been related to tomato (<i>Solanum lycopersicum</i> L.) consumption. The demand for high-quality tomatoes has, therefore, increased rapidly. As a climacteric fruit, tomato will only ripen to full colour postharvest. Trusses of mature-green greenhouse tomatoes of a red (‘Cherry Little Wonder’) and a yellow cultivar (‘Goldilocks’) were illuminated, preharvest, with either red (RL) (peak at 634 nm, 120 ± 20 µmol m<sup>–2</sup> s<sup>–1</sup>) or blue (BL) LED lights (peak at 450 nm, 120 ± 20 µmol m<sup>–2</sup> s<sup>–1</sup>) for 8 h per day for seven consecutive days. These on-plant RL and BL treatments significantly affected fruit colour and pigment concentration. Both light treatments enhanced the accumulation of lycopene, thereby significantly enhancing the nutritive value of the fruit. Similarly to lycopene, the <i>β</i>-carotene concentrations also increased following RL and BL exposure, again more so in the red than the yellow cultivar. Both light treatments also enhanced the speed of colour change by 5 days for the red and by 10 days for the yellow cultivar, resulting in either the desired red or the yellow colour. Our findings could be employed to improve quality and shorten the ripening period of tomato, while mechanisms involved in the biosynthesis and accumulation of these carotenoids require further investigation.
DOI: 10.6084/m9.figshare.12046383.v1
title: The big picture of field hydrology studies in Brazil

description: hydrological monitoring is essential for a proper decision-making process and modelling. Efforts have been made in Brazil to carry out field activities at the basin scale, but how complete and comprehensive are those studies? Where are they located? How long have they been carried out? What are the main findings? To answer these questions, an overview of experimental monitoring basins in Brazil is presented, listing their geographical locations, monitored variables, operational status, monitoring periods and main publications. We identified 60 monitored sites, spread across most Brazilian biomes, with an average monitoring period of 12 years. However, some publications from these monitoring studies are not fully accessible to the international community. Field hydrology activities in Brazil contribute to a better understanding of hydrological processes in humid and semi-arid regions and inform us about the impacts of land-use change on water quality and quantity.
DOI: 10.6084/m9.figshare.12046383
title: The big picture of field hydrology studies in Brazil

description: hydrological monitoring is essential for a proper decision-making process and modelling. Efforts have been made in Brazil to carry out field activities at the basin scale, but how complete and comprehensive are those studies? Where are they located? How long have they been carried out? What are the main findings? To answer these questions, an overview of experimental monitoring basins in Brazil is presented, listing their geographical locations, monitored variables, operational status, monitoring periods and main publications. We identified 60 monitored sites, spread across most Brazilian biomes, with an average monitoring period of 12 years. However, some publications from these monitoring studies are not fully accessible to the international community. Field hydrology activities in Brazil contribute to a better understanding of hydrological processes in humid and semi-arid regions and inform us about the impacts of land-use change on water quality and quantity.
DOI: 10.17632/96hf7zgrv7.1
title: Data for: Lithospheric stretching style variations and anomalous post-rift subsidence in the deep water sags of the Pearl River Mouth Basin, Northern South China Sea

description: The sequence boundaries depths of ten profiles used in this study are offerd. Readers chould use this data to check our results and do further study.
DOI: 10.17632/zzyvgc4mdx.1
title: Data for: Methane and carbon dioxide emissions from cul-tivated and native mangrove species in Dongzhai Harbor, Hainan

description: Paper data
DOI: 10.17632/3ysyh9vkwp.1
title: Data for: How Much Do the Central Bank Announcements Matter on Financial Market? Application of the Rule-Based Trading System Approach.

description: Original data.
DOI: 10.5517/ccdc.csd.cc207xfm
title: CCDC 1854650: Experimental Crystal Structure Determination

description: Related Article: Yanfeng Cui, Yuhan Ding, Steven Eduardo Vilcacundo Molina, Yahong Li|2021|J.Mol.Struct.|1241|130623|doi:10.1016/j.molstruc.2021.130623
DOI: 10.5517/ccdc.csd.cc215h6y
title: CCDC 1882109: Experimental Crystal Structure Determination

description: Related Article: Yu-Jie Yin, Chen Chen, Yang-Hui Luo, Bai-Wang Sun|2021|J.Mol.Struct.|1241|130580|doi:10.1016/j.molstruc.2021.130580
description: Related Article: Chen Chen|2018|CSD Communication|||