cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.13040795.v2
title: JVASP-5871 to JVASP-6358 (Positive bias)

description: JARVIS-DFT
DOI: 10.6084/m9.figshare.13040795.v1
title: JVASP-5871 to JVASP-6358

description: JARVIS-DFT
DOI: 10.25345/c5zf5k
title: MassIVE MSV000086315 - Protein Aggregation and Quality Control in Aging Killifish
title: Protein aggregation is a hallmark of age-related neurodegeneration. Yet whether aggregation drives age-related dysfunction and disease in other tissues is poorly understood. Here, we leverage the African turquoise killifish to obtain a systematic understanding of protein aggregation in seven tissues in an aging vertebrate.
DOI: 10.6084/m9.figshare.13040807
title: JVASP-6361 to JVASP-6397 (Positive bias)

description: JARVIS-DFT
DOI: 10.6084/m9.figshare.13040807.v2
title: JVASP-6361 to JVASP-6397 (Positive bias)

description: JARVIS-DFT
DOI: 10.6084/m9.figshare.13040807.v1
title: JVASP-6361 to JVASP-6397

description: JARVIS-DFT
DOI: 10.6084/m9.figshare.13040813
title: JVASP-6403 to JVASP-6532 (Positive bias)

description: JARVIS-DFT
DOI: 10.6084/m9.figshare.13040813.v2
title: JVASP-6403 to JVASP-6532 (Positive bias)

description: JARVIS-DFT
DOI: 10.6084/m9.figshare.13040813.v1
title: JVASP-6403 to JVASP-6532

description: JARVIS-DFT
DOI: 10.6084/m9.figshare.13043414
title: JVASP-6100 to JVASP-6118 (Positive bias)

description: JARVIS-DFT
DOI: 10.6084/m9.figshare.13043414.v2
title: JVASP-6100 to JVASP-6118 (Positive bias)

description: JARVIS-DFT
DOI: 10.6084/m9.figshare.13043414.v1
title: JVASP-6100 to JVASP-6118

description: JARVIS-DFT
DOI: 10.6084/m9.figshare.13043456
title: JVASP-6121 to JVASP-6184 (Positive bias)

description: JARVIS-DFT
DOI: 10.6084/m9.figshare.13043456.v2
title: JVASP-6121 to JVASP-6184 (Positive bias)

description: JARVIS-DFT
DOI: 10.6084/m9.figshare.13043456.v1
title: JVASP-6121 to JVASP-6184

description: JARVIS-DFT
DOI: 10.6084/m9.figshare.13106681
title: Experimental Data from Nasal airflow engages central olfactory processing and shapes olfactory percepts

description: Behavioural data from Experiments 1-4
DOI: 10.6084/m9.figshare.13106681.v1
title: Experimental Data from Nasal airflow engages central olfactory processing and shapes olfactory percepts

description: Behavioural data from Experiments 1-4
DOI: 10.6084/m9.figshare.13043498
title: JVASP-6187 to JVASP-6217 (Positive bias)

description: JARVIS-DFT
DOI: 10.6084/m9.figshare.13043498.v2
title: JVASP-6187 to JVASP-6217 (Positive bias)

description: JARVIS-DFT
DOI: 10.6084/m9.figshare.13043498.v1
title: JVASP-6187 to JVASP-6217

description: JARVIS-DFT
DOI: 10.6084/m9.figshare.13044257
title: JVASP-6220 to JVASP-6286 (Positive bias)

description: JARVIS-DFT
DOI: 10.6084/m9.figshare.13044257.v2
title: JVASP-6220 to JVASP-6286 (Positive bias)

description: JARVIS-DFT
DOI: 10.6084/m9.figshare.13044257.v1
title: JVASP-6220 to JVASP-6286

description: JARVIS-DFT
DOI: 10.6084/m9.figshare.13046243
title: JVASP-6292 to JVASP-6331 (Positive bias)

description: JARVIS-DFT
DOI: 10.6084/m9.figshare.13046243.v2
title: JVASP-6292 to JVASP-6331 (Positive bias)

description: JARVIS-DFT
DOI: 10.6084/m9.figshare.13046243.v1
title: JVASP-6292 to JVASP-6331

description: JARVIS-DFT
DOI: 10.6084/m9.figshare.13046246
title: JVASP-6535 to JVASP-6574 (Positive bias)

description: JARVIS-DFT
DOI: 10.6084/m9.figshare.13046246.v1
title: JVASP-6535 to JVASP-6574

description: JARVIS-DFT
DOI: 10.6084/m9.figshare.13046279
title: JVASP-6769 to JVASP-6910 (Positive bias)

description: JARVIS-DFT
DOI: 10.6084/m9.figshare.13046279.v2
title: JVASP-6769 to JVASP-6910 (Positive bias)

description: JARVIS-DFT
DOI: 10.6084/m9.figshare.13046300
title: JVASP-6922 to JVASP-7054 (Positive bias)

description: JARVIS-DFT
DOI: 10.6084/m9.figshare.13046279.v1
title: JVASP-6769 to JVASP-6910

description: JARVIS-DFT
DOI: 10.6084/m9.figshare.13046300.v2
title: JVASP-6922 to JVASP-7054 (Positive bias)

description: JARVIS-DFT
DOI: 10.6084/m9.figshare.13046300.v1
title: JVASP-6922 to JVASP-7054

description: JARVIS-DFT
DOI: 10.6084/m9.figshare.13046360
title: JVASP-6766 to JVASP-8972 (Positive bias)

description: JARVIS-DFT
DOI: 10.6084/m9.figshare.13046360.v2
title: JVASP-6766 to JVASP-8972 (Positive bias)

description: JARVIS-DFT
DOI: 10.6084/m9.figshare.13046360.v1
title: JVASP-6766 to JVASP-8972

description: JARVIS-DFT
DOI: 10.6084/m9.figshare.13046693
title: JVASP-28212 to JVASP-31377 (Positive bias)

description: JARVIS-DFT
DOI: 10.6084/m9.figshare.13046693.v2
title: JVASP-28212 to JVASP-31377 (Positive bias)

description: JARVIS-DFT
DOI: 10.6084/m9.figshare.13046693.v1
title: JVASP-28212 to JVASP-31377

description: JARVIS-DFT
DOI: 10.6084/m9.figshare.13046750
title: JVASP-31378 to JVASP-60293 (Positive bias)

description: JARVIS-DFT
DOI: 10.6084/m9.figshare.13046750.v2
title: JVASP-31378 to JVASP-60293 (Positive bias)

description: JARVIS-DFT
DOI: 10.6084/m9.figshare.13046750.v1
title: JVASP-31378 to JVASP-60293

description: JARVIS-DFT
DOI: 10.6084/m9.figshare.13047548
title: JVASP-60294 to JVASP-60390 (Positive bias)

description: JARVIS-DFT
DOI: 10.6084/m9.figshare.13047548.v2
title: JVASP-60294 to JVASP-60390 (Positive bias)

description: JARVIS-DFT
DOI: 10.6084/m9.figshare.13047548.v1
title: JVASP-60294 to JVASP-60390

description: JARVIS-DFT
DOI: 10.6084/m9.figshare.13047581
title: JVASP-60391 to JVASP-60479 (Positive bias)

description: JARVIS-DFT
DOI: 10.6084/m9.figshare.13047581.v2
title: JVASP-60391 to JVASP-60479 (Positive bias)

description: JARVIS-DFT
DOI: 10.6084/m9.figshare.13047581.v1
title: JVASP-60391 to JVASP-60479

description: JARVIS-DFT
DOI: 10.6084/m9.figshare.13047587
title: JVASP-60480 to JVASP-60549 (Positive bias)

description: JARVIS-DFT
DOI: 10.6084/m9.figshare.13047587.v2
title: JVASP-60480 to JVASP-60549 (Positive bias)

description: JARVIS-DFT
DOI: 10.6084/m9.figshare.13047587.v1
title: JVASP-60480 to JVASP-60549

description: JARVIS-DFT
DOI: 10.6084/m9.figshare.13047593
title: JVASP-60550 to JVASP-60776 (Positive bias)

description: JARVIS-DFT
DOI: 10.6084/m9.figshare.13047593.v2
title: JVASP-60550 to JVASP-60776 (Positive bias)

description: JARVIS-DFT
DOI: 10.6084/m9.figshare.13047593.v1
title: JVASP-60550 to JVASP-60776

description: JARVIS-DFT
DOI: 10.6084/m9.figshare.13047926
title: JVASP-13545 to JVASP-14419 (Positive bias)

description: JARVIS-DFT
DOI: 10.6084/m9.figshare.13047941
title: JVASP-14420 to JVASP-19576 (Positive bias)

description: JARVIS-DFT
DOI: 10.6084/m9.figshare.13047941.v2
title: JVASP-14420 to JVASP-19576 (Positive bias)

description: JARVIS-DFT
DOI: 10.6084/m9.figshare.13047941.v1
title: JVASP-14420 to JVASP-19576

description: JARVIS-DFT
DOI: 10.6084/m9.figshare.13047959
title: JVASP-19579 to JVASP-20053 (Positive bias)

description: JARVIS-DFT
DOI: 10.6084/m9.figshare.13047959.v2
title: JVASP-19579 to JVASP-20053 (Positive bias)

description: JARVIS-DFT
DOI: 10.6084/m9.figshare.13047959.v1
title: JVASP-19579 to JVASP-20053

description: JARVIS-DFT
DOI: 10.6084/m9.figshare.13047968
title: JVASP-20054 to JVASP-27858 (Positive bias)

description: JARVIS-DFT
DOI: 10.6084/m9.figshare.13047968.v2
title: JVASP-20054 to JVASP-27858 (Positive bias)

description: JARVIS-DFT
DOI: 10.6084/m9.figshare.13047968.v1
title: JVASP-20054 to JVASP-27858

description: JARVIS-DFT
DOI: 10.6084/m9.figshare.13047974
title: JVASP-27859 to JVASP-27978 (Positive bias)

description: JARVIS-DFT
DOI: 10.6084/m9.figshare.13047974.v1
title: JVASP-27859 to JVASP-27978

description: JARVIS-DFT
DOI: 10.6084/m9.figshare.13047974.v2
title: JVASP-27859 to JVASP-27978 (Positive bias)

description: JARVIS-DFT
DOI: 10.6084/m9.figshare.13048079
title: JVASP-27982 to JVASP-28199 (Positive bias)

description: JARVIS-DFT
DOI: 10.6084/m9.figshare.13048079.v2
title: JVASP-27982 to JVASP-28199 (Positive bias)

description: JARVIS-DFT
DOI: 10.6084/m9.figshare.13048079.v1
title: JVASP-27982 to JVASP-28199

description: JARVIS-DFT
DOI: 10.5517/ccdc.csd.cc259cxs
title: CCDC 2005015: Experimental Crystal Structure Determination

description: Related Article: Yuki Murata, Naoki Kakusawa, Yukako Arakawa, Yukako Hayashi, Shun Morinaga, Masaaki Ueda, Tadashi Hyodo, Mio Matsumura, Kentaro Yamaguchi, Jyoji Kurita, Shuji Yasuike|2020|J.Organomet.Chem.|928|121545|doi:10.1016/j.jorganchem.2020.121545
DOI: 10.5517/ccdc.csd.cc259zk1
title: CCDC 2005593: Experimental Crystal Structure Determination

description: Related Article: Pavel Ryabchuk, Thomas Leischner, Carsten Kreyenschulte, Anke Spannenberg, Kathrin Junge, Matthias Beller|2020|Angew.Chem.,Int.Ed.|59|18679|doi:10.1002/anie.202007613
DOI: 10.5517/ccdc.csd.cc25bdlj
title: CCDC 2005997: Experimental Crystal Structure Determination

description: Related Article: Jiaxin Li, Yanping Ma, Xinquan Hu, Zygmunt Flisak, Liang Tongling, Wen-Hua Sun|2020|New J.Chem.|44|17047|doi:10.1039/D0NJ04003G
DOI: 10.5517/ccdc.csd.cc25bdmk
title: CCDC 2005998: Experimental Crystal Structure Determination

description: Related Article: Jiaxin Li, Yanping Ma, Xinquan Hu, Zygmunt Flisak, Liang Tongling, Wen-Hua Sun|2020|New J.Chem.|44|17047|doi:10.1039/D0NJ04003G
DOI: 10.21227/x3n9-ff58
title: real world Chinese mathematics dataset

description: An overview of a real-world Chinese mathematics dataset removed duplicated questions and simple questions.
DOI: 10.21227/c2hm-q939
title: real world Chinese mathematics dataset

description: An overview of a real-world Chinese mathematics dataset removed duplicated questions and simple questions.
DOI: 10.5517/ccdc.csd.cc22h26w
title: CCDC 1921107: Experimental Crystal Structure Determination

description: Related Article: Ping Yang, Hong Chen, Zi-Zhou Wang, Li-Lei Zhang, Dan-Dan Zhang, Qing-Shan Shi, Xiao-Bao Xie|2020|J.Inorg.Biochem.|213|111248|doi:10.1016/j.jinorgbio.2020.111248
description: Related Article: Ping Yang|2019|CSD Communication|||
DOI: 10.25505/fiz.icsd.cc23x4v1
title: CSD 1963473: Experimental Crystal Structure Determination

description: Related Article: Yujie Song, Zhengcai Xia, Sha Huang, Feng Yang, Xiaoxing Zhang, Dequan Jiang, Han Deng, Mengsi Zhang, Jinyang Li, Zhangzhen He, Zhongwen Ouyang, Zhaoming Tian|2020|Cryst.Growth Des.|20|6804|doi:10.1021/acs.cgd.0c00903
DOI: 10.5517/ccdc.csd.cc244zny
title: CCDC 1971000: Experimental Crystal Structure Determination

description: Related Article: Shan Li, Liansheng Liu, Rong Wang, Yihui Yang, Jing Li, Junfa Wei|2020|Org.Lett.|22|7470|doi:10.1021/acs.orglett.0c02615
DOI: 10.5517/ccdc.csd.cc248f3z
title: CCDC 1974300: Experimental Crystal Structure Determination

description: Related Article: Na Zhang, Zhengyi Shi, Qianqian Xu, Weiguang Sun, Lianghu Gu, Shuangshuang Xie, Yi Guo, Yulin Duan, Kailin Zhang, Changxing Qi, Yonghui Zhang|2020|Org.Lett.|22|7926|doi:10.1021/acs.orglett.0c02853
DOI: 10.5517/ccdc.csd.cc248f40
title: CCDC 1974301: Experimental Crystal Structure Determination

description: Related Article: Na Zhang, Zhengyi Shi, Qianqian Xu, Weiguang Sun, Lianghu Gu, Shuangshuang Xie, Yi Guo, Yulin Duan, Kailin Zhang, Changxing Qi, Yonghui Zhang|2020|Org.Lett.|22|7926|doi:10.1021/acs.orglett.0c02853
DOI: 10.5517/ccdc.csd.cc24pbqx
title: CCDC 1986719: Experimental Crystal Structure Determination

description: Related Article: Ping Yang, Hong Chen, Zi-Zhou Wang, Li-Lei Zhang, Dan-Dan Zhang, Qing-Shan Shi, Xiao-Bao Xie|2020|J.Inorg.Biochem.|213|111248|doi:10.1016/j.jinorgbio.2020.111248
description: Related Article: Ping Yang|2020|CSD Communication|||
DOI: 10.6084/m9.figshare.13106783
title: supplementary Table 1

description: <i>The test questions related with absorption physiology and their classification on Bloom's Taxonomy</i><br>
DOI: 10.6084/m9.figshare.13106783.v1
title: supplementary Table 1

description: <i>The test questions related with absorption physiology and their classification on Bloom's Taxonomy</i><br>
DOI: 10.25919/5f8aaa6877558
title: Parkes observations for project P1064 semester 2020APRS_05

description: The propagation of pulsar signal through the interstellar medium is affected by the fluctuations in the electron density in the line of sight from the pulsar to the observer. This is a frequency dependent phenomenon and will produce brightness variations (scintillation) and also broadening of the otherwise narrow pulse (scatter-broadening). The effect of these two are measurable at different frequencies due to their strong dependence on frequency, viz., broadening will be evident at lower radio frequencies and scintillation will be clearly resolved at higher frequencies. With this proposal, we aim to study the evolution of scatter-broadening and scintillation properties of 137 pulsars with the UWL receiver, and verify their relationship with each other. With this experiment, we aim at testing some of the fundamental theories of ionised interstellar medium. This large sample will also help in improving the understanding of the turbulence characteristics in the inner Galaxy. We request a total of 149 hours for this project.
DOI: 10.7910/dvn/1f6sq0
title: Investigation of Indoor Air Quality inside Houses From UAE

description: ABSTRACT: The maintenance of a good indoor air quality (IAQ) has been revealed highly required for ensuring comfort and respectable health conditions for home’s residents. Nowadays, the main causes of the homes air quality degradation have been stated to be originated from both indoor and outdoor sources such as gases and/or particles, where their health impacts have been showed to be more hazardous under inadequate ventilation, high temperatures, and high humidity. In the light of the above, investigation of IAQ inside homes seems to be highly recommended. Accordingly, the current research has been aimed to investigate the IAQ in 12 houses located in different parts from Abu Dhabi in United Arab Emirates (UAE) through a regular monitoring of total suspended particles (TSPs), carbon monoxide (CO), carbon dioxide (CO2), formaldehyde (CH2O), and volatile organic compound (VOC) concentrations and some meteorological parameters such as humidity and temperature in side door, kitchen, and bathroom of each selected house. Compared with international standards and with other measured concentrations exhibited in diverse studies around the world, recorded concentrations in different compartments of selected houses have been lower than detection limits and standard values in the case of VOCs and in the case of CO, respectively, indicating that no health risk originates from such pollutants, especially for residents without sensitive problems. On the contrary, registered CH2O and CO2 concentration levels have largely exceeded standard values alerting residents about the potential impact of cooking, fuel combustion, hot water boilers, air conditioning systems, smoking and may be using electronic cigarettes (vaping) while keeping windows and doors closed, causing a bad aeration. In the case of TSP, recorded concentrations have never exceeded 100 µg/m3 in all compartments of 40% of selected houses. However, in the case of houses “3” and “5,” recorded concentrations have been higher than those recorded in houses from Slovakia, indicating the significant impact of outdoor activities in UAE around these houses and to the non-negligible effect of dust event originating from Saharan advection.
DOI: 10.7910/dvn/qjcmmc
title: Competitive, Sustainable Natural Pesticides

description: Abstract To control the negative effects of synthetic pesticides, natural organic pesticides should take place to be an alternative to synthetic pesticides which have a lot of harms on the environment and public health. These alternatives are natural materials work as killers or repellents to reduce, destroy and kill pests which affect human health and environment. In this research, the effectiveness of natural organic pesticides has been tested by doing preliminary experiments as a first methodology composed of 11 ingredients of natural materials with different concentrations to choose the most effective components and mix them in one treatment (pesticide). The results were very positive for some of them and showed how these organic pesticides are effective in term of killing and repelling pests. Neem oil, Lavender oil, and Cottonseed oil were the most effective with high degradation time. On the other hand, Chrysanthemum liquid was the least effective as it is a liquid, not oil (oil is more concentrated). Moreover, Garlic oil and Mint oil were effective as repellants with high degradation time. For the second methodology where the most five effective materials based on the preliminary experiments have been mixed together to form one pesticide. The final pesticide showed effective results on stick insect and ants. Lack of studies about natural organic pesticides was an obstacle in this research, where some ingredients have not been scientifically tested in previous studies. This research could help to change from chemical activities used in agriculture field to more friendly methods in term of sustainable agriculture.
DOI: 10.6084/m9.figshare.13102964
title: Simulated B cell nuclei images

description: Data sets of simulated fluorescence microscopy images depicting B cell nuclei. The different data sets show increasing level of overlap. Also the corresponding ground truth is available. The data sets have been simulated with the energy based texture mapping method [1].<br>Reference:Wiesmann, V., Bergler, M., Palmisano, R. et al. Using simulated fluorescence cell micrographs for the evaluation of cell image segmentation algorithms. BMC Bioinformatics 18, 176 (2017). https://doi.org/10.1186/s12859-017-1591-2
DOI: 10.6084/m9.figshare.13102964.v1
title: Simulated B cell nuclei images

description: Data sets of simulated fluorescence microscopy images depicting B cell nuclei. The different data sets show increasing level of overlap. Also the corresponding ground truth is available. The data sets have been simulated with the energy based texture mapping method [1].<br>Reference:Wiesmann, V., Bergler, M., Palmisano, R. et al. Using simulated fluorescence cell micrographs for the evaluation of cell image segmentation algorithms. BMC Bioinformatics 18, 176 (2017). https://doi.org/10.1186/s12859-017-1591-2
DOI: 10.7910/dvn/1xzruo
title: Host Selection of Peach Rootborer Capnodis tenebrionis L. (Coleoptera: Buprestidae) to Stone-Fruit Trees in Jordan *)

description: Field and laboratory experiments were conducted during April 2006 to December 2008 to investigate host selection of peach rootborer (PRB) to stone-fruit trees. PRB adults selected significantly peach trees for feeding and oviposition more than apricots and plums, while bitter almonds were the least selected host. Peaches contain lower levels of prunasin than apricots, plums, and almonds. Bitter almond is the only host containing amygdalin (94.0 mg/100g dried sample). When these results were matched with the results of field experiments, it became obvious that peach trees, which have the least prunasin content is more susceptible to infestation by PRB than apricots or plums. Bitter almonds which have amygdalin in the kernels and high prunasin content in the leaves and roots are the most resistance. The Nitrogen content in roots and leaves of bitter almond is significantly higher than the N-content of other hosts. Increased availability of N in almonds lead to increase synthesis of N-containing secondary compounds, such as prunasin and amygdalin, which in turn decrease the susceptibility of stone-fruits to infestation by PRB.
DOI: 10.6084/m9.figshare.13102958
title: Fluorescence microscopy B cell data set

description: Fluorescence microscopy data set of B cells with corresponding ground truth. The images were captured with an Zeiss AxioSscan.Z1.<br>Sample Preparation:Naive murine B cells from C57Bl/6 mice were isolated from the spleen by negative selection. The cells<br>were activated with lipopolysaccharide (LPS, 10 <i>µ</i>g/ml) for 72 h in RPMI1640 medium supplemented with<br>fetal calf serum (FCS)(10%), L-glutamine (2 mM), Pyruvate (1 mM), Penicillin (50 U/ml), Streptomycin<br>(50 <i>µ</i>g/ml) and ?-Mercaptoethanol (50 <i>µ</i>M). Teflon-coated microscope slides with 8 wells each were<br>coated with aBCR (10 <i>µ</i>g/ml rat anti BCR monoclonal) [1] or αCD19 (rat anti CD19<br>monoclonal) [3]. 2x10^4 B cells were seeded on the slides and incubated for 45min in a<br>humidified incubator (5% CO2 atmosphere in RPMI1640 supplemented as described above but without<br>FCS). On the control sample, B cells were treated with Cytochalasin D [2], a mycotoxin<br>that inhibits actin polymerization. Cell were fixated in phosphate buffered saline (PBS) containing 4%<br>para-formaldehyde which also stops cell spreading. Fixed cells were washed and permeabilized in PBS with<br>0.1% Triton X-100. Phalloidin-Rhodamin (Molecular Probes) specifically stained the F-actin intracellularly<br>and DAPI (Roth) stains DNA in the nuclei. Slides were mounted in MOWIOL(Roth) [4].<br>References:[1] Cambier, J. C., Heusser, C. H., and Julius, M. H. (1986). Abortive activation of B lymphocytes by<br>monoclonal anti-immunoglobulin antibodies. Journal of immunology (Baltimore, Md. : 1950) 136,<br>3140–6<br>[2] Cooper, J. A. (1987). Effects of cytochalasin and phalloidin on actin. The Journal of Cell Biology 105,<br>1473–1478. doi:10.1083/jcb.105.4.1473<br>[3] Krop, I., Shaffer, A. L., Fearon, D. T., and Schlissel, M. S. (1996). The signaling activity of murine CD19<br>is regulated during cell development. Journal of immunology (Baltimore, Md. : 1950) 157, 48–56<br>[4] Wiesmann, V., Reimer, D., Franz, D., Hüttmayer, H., Mielenz, D., and Wittenberg, T. (2015). Automated<br>high-throughput analysis of B cell spreading on immobilized antibodies with whole slide imaging.<br>Current Directions in Biomedical Engineering 1, 224–227. doi:10.1515/cdbme-2015-0056<br>
DOI: 10.6084/m9.figshare.13102961
title: Simulated B cell images

description: Data sets of simulated fluorescence microscopy images depicting B cells with corresponding simulated ground truth. The data sets have been simulated with the energy based texture mapping method [1].<br>Reference:Wiesmann, V., Bergler, M., Palmisano, R. et al. Using simulated fluorescence cell micrographs for the evaluation of cell image segmentation algorithms. BMC Bioinformatics 18, 176 (2017). https://doi.org/10.1186/s12859-017-1591-2<br><br>
DOI: 10.6084/m9.figshare.13102961.v1
title: Simulated B cell images

description: Data sets of simulated fluorescence microscopy images depicting B cells with corresponding simulated ground truth. The data sets have been simulated with the energy based texture mapping method [1].<br>Reference:Wiesmann, V., Bergler, M., Palmisano, R. et al. Using simulated fluorescence cell micrographs for the evaluation of cell image segmentation algorithms. BMC Bioinformatics 18, 176 (2017). https://doi.org/10.1186/s12859-017-1591-2<br><br>
DOI: 10.7910/dvn/yrwaoa
title: Life Cycle of Peach Rootborer Capnodis tenebrionis L. (Coleoptera: Buprestidae) on Stone-Fruit Trees

description: Experiments were carried out at Jordan University in a stone-fruit orchard which is highly infested with peach rootborer Capnodis tenebrionis during April 2006 to December 2008 to study the life cycle of C. tenebrionis under field conditions. Eggs were found in clusters on the base of the trunk. Egg dimensions were 5.7±0.098 mm x 3.6±0.080 mm on average. Incubation period of the eggs was 19 days at a mean daily mean temperature of 28 °C. Eggs hatching was 9 days after oviposition at the same temperature. Neonate larvae started boring in the roots. Larvae completed their development passing 9 moults (9 instars) in 40 days (from June, 10 to July, 20). Pupation lasted for 3 weeks. Adults emerged and the sex ratio ranged from 1:1 to 3:1(♂:♀). Adults fed, dispersed at a temperature of 26-30 °C copulated at a mean daily temperature of 33 °C. Females laid eggs and the life cycle repeated. Results were discussed, conclusions and recommendation were made.