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Chandra X-ray Observatory ObsId 27302
收藏Mendeley Data2024-03-27 更新2024-06-27 收录
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https://cda.cfa.harvard.edu/chaser/?obsid=27302
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链接失效反馈资源简介：
Calibration Observations of ACIS-I0 with Cas A at a Non-Standard Focal Plane Temperature of -105C
创建时间：
2023-06-28
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Yield of strawberry crops under different irrigation levels and biofertilizer doses
ABSTRACT Strawberry is produced and appreciated in different regions of the world, due to its productive and commercial characteristics. Biofertilizer is an organic fertilizer that is easy to prepare and effective to nourish plants. The objective of this work was to assess the effect of different irrigation levels and anaerobically fermented bovine biofertilizer doses, on biomass accumulation and strawberry crop yield. The experiment was carried out in the experimental area of the UFC, in Fortaleza, Ceará, Brazil, from August to December 2012, under a screened environment. The experimental design was randomized blocks designed into subdivided plots, in which irrigation levels were applied via drip irrigation (equivalent to 33.3, 66.6, 100, 133.3 and 166.6% of the evaporation measured in the Class A tank - ECA), corresponding to the plots. The four doses of bovine biofertilizer (125, 250, 375 and 500 mL plant-1 week-1) were the subplots, with four replications. The assessed parameters were: biomass (root, shoot and total dry matter), fruit diameter, fruit length, number of fruits per plant, average fruit mass and yield. The biofertilizer and irrigation increased strawberry shoot biomass and total biomass. The interaction between irrigation and bovine biofertilizer raised the root matter to 3.7 g. The biofertilizer was nutritionally efficient for the strawberry regarding number of fruit, fruit diameter and yield. Irrigation increased strawberry length and average mass.
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数鼎科技-全球多语言处理主数据
该数据基于数鼎科技自主研发的多语言数据模型框架，将互联网采集的汽车行业大数据，经过多语言版本的储存、维护、切换、应用等一系列主数据设计开发技术处理，结合所拥有的汽车行业内专有名词等专业术语应用的专家经验，打造多语言并发，适应不同国际社会文化和市场的多语言主数据。满足能够容纳多种语言的全球互通共享的数据需求，促进企业扩大规模和贸易全球化进程。
广东省数据知识产权存证登记平台 收录
残疾人联合会志愿服务
该目录主要描述残疾人联合会志愿服务，包含时间、单位、活动名称、姓名等信息项
山东公共数据开放网 收录
租赁和商务服务业个体登记信息
包含结个体户注册登记基本信息及登记机关信息，为省级已开放的数据资源，以省局信息为准
山东公共数据开放网 收录
MedSens data (Version 3.0.0, update February 24, 2022). Dataset maintained by Reef Check Italia
MedSens data is a dataset including the abundance of selected Mediterranean marine species, collected by trained volunteers (EcoDivers, i.e. scuba divers, free divers and snorkelers) according to the Reef Check Mediterranean Underwater Coastal Environment Monitoring (RCMed U-CEM) protocol (Cerrano et al., 2017), and maintained by the non-profit association Reef Check Italia. This dataset is a subset of 25 selected species from the Reef Check Med - key Mediterranean marine species dataset, and it is specifically intended to calculate the MedSens index developed by Eva Turicchia, Carlo Cerrano, Matteo Ghetta, Marco Abbiati and Massimo Ponti (Turicchia et al., 2021). MedSens data is provided as ESRI shapefiles in WGS84 geographic coordinates (EPSG:4326). MedSens abstract Citizen science (CS) projects may provide community-based ecosystem monitoring, expanding our ability to collect data across space and time. However, the data from CS are often not effectively integrated into institutional monitoring programs and decision-making processes, especially in marine conservation. This limitation is partially due to difficulties in accessing the data and the lack of tools and indices for proper management at intended spatial and temporal scales. MedSens is a biotic index specifically developed to provide information on the environmental status of subtidal rocky coastal habitats, filling a gap between marine CS and coastal management in the Mediterranean Sea. The MedSens index is based on 25 selected species, incorporating their sensitivities to the pressures indicated by the European Union’s Marine Strategy Framework Directive (MSDF) and open data on their distributions and abundances, collected by trained volunteers (mainly scuba divers, but also free divers and snorkelers) using the Reef Check Mediterranean Underwater Coastal Environment Monitoring (RCMed U-CEM) protocol. The species sensitivities were assessed relative to their resistance and resilience against physical, chemical, and biological pressures, according to benchmark levels and a literature review. The MedSens index was calibrated on a dataset of 33,021 observations from 569 volunteers (2001 to 2019), along six countries’ coasts. A free and user-friendly QGIS plugin allows easy index calculation for areas and time frames of interest. The MedSens index was applied to Mediterranean marine protected areas (MPAs) and the management and monitoring zones within Italian MPAs. In the studied cases, the MedSens index responds well to the local pressures documented by previous investigations. MedSens converts the data collected by trained volunteers into an effective monitoring tool for the Mediterranean subtidal rocky coastal habitats. MedSens can help conservationists and decision-makers identify the main pressures acting in these habitats, as required by the MSFD, supporting them in the implementation of appropriate marine biodiversity conservation measures and better communicate the results of their actions. By directly involving stakeholders, this approach increases public awareness and the acceptability of management decisions, enabling more participatory conservation tactics. References Cerrano C, Milanese M, Ponti M (2017) Diving for science - science for diving: Volunteer scuba divers support science and conservation in the Mediterranean Sea. Aquat Conserv 27:303–323 https://doi.org/10.1002/aqc.2663 Turicchia E, Cerrano C, Ghetta M, Abbiati M, Ponti M (2021) MedSens index: The bridge between marine citizen science and coastal management. Ecol Indic 122:107296 https://doi.org/10.1016/j.ecolind.2020.107296
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