cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2df4yy
title: CCDC 2217180: Experimental Crystal Structure Determination

description: Related Article: Jian-Bin Lu, Shu-Yuan Liang, Wu-Tao Gui, Zhi-Chao Chen, Wei Du, Ying-Chun Chen|2022|Org.Lett.|25|576|doi:10.1021/acs.orglett.2c03762
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2df4zz
title: CCDC 2217181: Experimental Crystal Structure Determination

description: Related Article: Jian-Bin Lu, Shu-Yuan Liang, Wu-Tao Gui, Zhi-Chao Chen, Wei Du, Ying-Chun Chen|2022|Org.Lett.|25|576|doi:10.1021/acs.orglett.2c03762
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.58024/agcu96eeed1d
title: Grenville rutile
DOI: 10.34740/kaggle/dsv/4952619
title: Mental behaviour detection after COVID-19 effect
DOI: 10.5281/zenodo.7325234
title: Long-wang196/A-We-map-Based-Direction-Model-for-the-General-Public-with-Weak-Sense-of-Directions: We-map-Based direction model

description: This is the dataset
DOI: 10.5281/zenodo.7325233
title: Long-wang196/A-We-map-Based-Direction-Model-for-the-General-Public-with-Weak-Sense-of-Directions: We-map-Based direction model

description: This is the dataset
DOI: 10.5281/zenodo.7606552
title: MUSES Leaf Area Index (LAI) 8-Day Global 500m SIN Grid in 2007

description: The MUltiscale Satellite remotE Sensing (MUSES) product suite includes products with different spatial and temporal resolutions for parameters such as Normalized Difference Vegetation Index (NDVI), Near-Infrared Reflectance of Vegetation (NIRv), Leaf Area Index (LAI), Fraction of Absorbed Photosynthetically Active Radiation (FAPAR), Fractional Vegetation Coverage (FVC), Gross Primary Production (GPP), Net Primary Production (NPP). For more information about the MUSES products, please refer to this website (https://muses.bnu.edu.cn/). This dataset is the MUSES global LAI product at 500m spatial resolution and 8-day temporal resolution. The MUSES LAI product is provided on a Sinusoidal grid and spans from 2000 to 2019 (continuously updated). It was generated from time-series Moderate Resolution Imaging Spectroradiometer (MODIS) surface reflectance product using general regression neural networks (GRNNs) (Xiao <em>et al</em>., 2014; Xiao <em>et al.</em>, 2016). The MUSES LAI product is spatially complete and temporally continuous. This dataset is the MUSES LAI product in 2007. <em>Please <strong>click here</strong> to download the MUSES LAI product <strong>in 2006</strong></em><strong>, </strong>and <em><strong>click here</strong> to download the MUSES LAI product <strong>in 2008</strong></em>. <strong>Dataset Characteristics:</strong> Spatial Coverage: Global Temporal Coverage: 2007 Spatial Resolution: 500m Temporal Resolution: 8 days Projection: Sinusoidal Data Format: HDF Scale: 0.01 Valid Range: 0 – 1000 <strong>Citation </strong>(Please cite this paper whenever these data are used)<strong>:</strong> Xiao Zhiqiang, <em>et al</em>. (2014). Use of General Regression Neural Networks for Generating the GLASS Leaf Area Index Product From Time-Series MODIS Surface Reflectance. <em>IEEE Transactions on Geoscience and Remote Sensing</em>, 52, 209-223. Xiao Zhiqiang, <em>et al</em>. (2016). Long-time-series global land surface satellite leaf area index product derived from MODIS and AVHRR surface reflectance. <em>IEEE Transactions on Geoscience and Remote Sensing</em>, 54, 5301-5318. Xiao Zhiqiang, Jinling Song, Hua Yang, Rui Sun and Juan Li. (2022). A 250 m resolution global leaf area index product derived from MODIS surface reflectance data. <em>International Journal of Remote Sensing</em>, 43(4), 1199-1225. Xiao Zhiqiang, <em>et al</em>. (2017). Evaluation of four long time-series global leaf area index products. <em>Agricultural and Forest Meteorology</em>, 246, 218-230. If you have any questions, please contact Prof. Zhiqiang Xiao (zhqxiao@bnu.edu.cn).
DOI: 10.5281/zenodo.7606551
title: MUSES Leaf Area Index (LAI) 8-Day Global 500m SIN Grid in 2007

description: The MUltiscale Satellite remotE Sensing (MUSES) product suite includes products with different spatial and temporal resolutions for parameters such as Normalized Difference Vegetation Index (NDVI), Near-Infrared Reflectance of Vegetation (NIRv), Leaf Area Index (LAI), Fraction of Absorbed Photosynthetically Active Radiation (FAPAR), Fractional Vegetation Coverage (FVC), Gross Primary Production (GPP), Net Primary Production (NPP). For more information about the MUSES products, please refer to this website (https://muses.bnu.edu.cn/). This dataset is the MUSES global LAI product at 500m spatial resolution and 8-day temporal resolution. The MUSES LAI product is provided on a Sinusoidal grid and spans from 2000 to 2019 (continuously updated). It was generated from time-series Moderate Resolution Imaging Spectroradiometer (MODIS) surface reflectance product using general regression neural networks (GRNNs) (Xiao <em>et al</em>., 2014; Xiao <em>et al.</em>, 2016). The MUSES LAI product is spatially complete and temporally continuous. This dataset is the MUSES LAI product in 2007. <em>Please <strong>click here</strong> to download the MUSES LAI product <strong>in 2006</strong></em><strong>, </strong>and <em><strong>click here</strong> to download the MUSES LAI product <strong>in 2008</strong></em>. <strong>Dataset Characteristics:</strong> Spatial Coverage: Global Temporal Coverage: 2007 Spatial Resolution: 500m Temporal Resolution: 8 days Projection: Sinusoidal Data Format: HDF Scale: 0.01 Valid Range: 0 – 1000 <strong>Citation </strong>(Please cite this paper whenever these data are used)<strong>:</strong> Xiao Zhiqiang, <em>et al</em>. (2014). Use of General Regression Neural Networks for Generating the GLASS Leaf Area Index Product From Time-Series MODIS Surface Reflectance. <em>IEEE Transactions on Geoscience and Remote Sensing</em>, 52, 209-223. Xiao Zhiqiang, <em>et al</em>. (2016). Long-time-series global land surface satellite leaf area index product derived from MODIS and AVHRR surface reflectance. <em>IEEE Transactions on Geoscience and Remote Sensing</em>, 54, 5301-5318. Xiao Zhiqiang, Jinling Song, Hua Yang, Rui Sun and Juan Li. (2022). A 250 m resolution global leaf area index product derived from MODIS surface reflectance data. <em>International Journal of Remote Sensing</em>, 43(4), 1199-1225. Xiao Zhiqiang, <em>et al</em>. (2017). Evaluation of four long time-series global leaf area index products. <em>Agricultural and Forest Meteorology</em>, 246, 218-230. If you have any questions, please contact Prof. Zhiqiang Xiao (zhqxiao@bnu.edu.cn).
DOI: 10.6084/m9.figshare.22013030
title: Final code for stereology paper

description: All code used to generate plots in R for the paper titled "Immature neurons in the primate amygdala: changes with early development and disrupted early environment". This code includes what was used for all boxplots, standard deviation boxplots, and frequency polygon plots, and Pearson correlation plots plots that appear in the paper. This database also includes all raw csv files used within each R markdown block of code.
DOI: 10.6084/m9.figshare.22013030.v2
title: Final code for stereology paper

description: All code used to generate plots in R for the paper titled "Immature neurons in the primate amygdala: changes with early development and disrupted early environment". This code includes what was used for all boxplots, standard deviation boxplots, and frequency polygon plots, and Pearson correlation plots plots that appear in the paper. This database also includes all raw csv files used within each R markdown block of code.
DOI: 10.6084/m9.figshare.22013030.v1
title: Final code for stereology paper

description: All code used to generate plots in R for the paper titled "Immature neurons in the primate amygdala: changes with early development and disrupted early environment". This code includes what was used for all boxplots, standard deviation boxplots, and frequency polygon plots, and Pearson correlation plots plots that appear in the paper. This database also includes all raw csv files used within each R markdown block of code.
DOI: 10.5517/ccdc.csd.cc2c7751
title: CCDC 2181692: Experimental Crystal Structure Determination

description: Related Article: Chijioke Amadi camadi|2022|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.12755/fostat.doc.2023.1
title: กรณีตัวอย่างของ Foods with Function Claims (FFC) Japan ข้อคิดเห็นของนักวิชาการไทยที่มีต่อการออกแบบงานวิจัยที่ศึกษาในมนุษย์ (Clinical Trial) กับการยื่นขอกล่าวอ้างทางสุขภาพ : เรื่อง “ไอโซฟลาโวนส์จากถั่วเหลืองต่อสุขภาพของกระดูก”
DOI: 10.25919/03w6-8g59
title: Parkes observations for project P960 semester 2022OCTS_04

description: We aim to carry out receiver pointing and characterisation tests of Parkes receivers. Typically, these tests are carried out after the receiver package is installed, but time does not always allow for proper characterisation. Receivers for consideration include UWL, MARS and 13MM packages. In addition to cross-referencing C007 for flux calibration via pointing, we aim to conduct gain-elevation and system temperature experiments using the Moon, to ensure users of the Parkes Observatory have the most accurate information available for calibration purposes.
DOI: 10.25919/s8ck-b692
title: Parkes observations for project P574 semester 2022OCTS_07

description: We request time to observe 260 pulsars on a regular basis in order to provide the accurate ephemerides necessary for the detection and characterisation of gamma-ray pulsars with the Fermi satellite. The main science goals are to increase the number of known gamma-ray pulsars (both radio loud and radio quiet), to determine accurate pulse profiles, and to characterise their high energy (phase-resolved) spectra. In the radio, the observations will also allow us to investigate: neutron stars and pulsar emission via detecting glitches and determining pulse timing parameters; and the ISM via measuring and monitoring dispersion measures, Faraday rotation measures, and scintillation. To date, we are (co-)authors on over 95 papers arising from the collaboration and P574 data, including four which use UWL observations. The data have contributed to the PhD theses of students from Bordeaux, Manchester, Oxford, Stanford, and Swinburne.
DOI: 10.6084/m9.figshare.22013270
title: CDS and protein sequences of the Isatis indigotica genome

description: CDS and protein sequences file of the <em>Isatis indigotica </em>genome extracted using AGAT.
DOI: 10.34740/kaggle/dsv/4952810
title: 🇺🇦 Ukraine Conflict Twitter Dataset
DOI: 10.5281/zenodo.7587506
title: Modelled hydrodynamic profiles and salmon louse larval densities at Norwegian salmon farms

description: Data compiled for use by the PreventLice web app, a decision support tool intended to help Norwegian salmon farmers avoid salmon louse infestations: https://havforskningsinstituttet.shinyapps.io/preventlice Each file contains the relevant data for a registered salmonid farm in Norway, identified by its locality number according to the Norwegian Aquaculture Registry. A total of 1023 localities are included in version 1.0.0. The data are in long rectangular format, with each row corresponding to a single depth interval on a single date. Each row provides variables for locality number ("loc"), date ("date"), depth (m, "depth"), daily mean temperature (°C, "meanTemp"), daily mean salinity (ppt, "meanSal"), daily mean current speed (ms<sup>-1</sup>, "meanCurrSpd"), daily 95th percentile current speed (ms<sup>-1</sup>, "95PercCurrSpd"), daily salmon louse infestation pressure (copepodids m<sup>-3</sup>, "meanCopDensity"), and daily mean significant wave height (m, "SignWaveHeight"). Temperature, salinity and current speeds are taken from the NorFjords-160 model (Dalsøren et al. 2020), a finer-scale update of the NorKyst-800 model (Asplin et al. 2020). Wave height data are taken from the MyWaveWAM800m Norwegian coastal wave forecasting system (Norwegian Meteorological Institute). Salmon louse copepodid densities are estimated by coupling louse biology and behaviour parameters with hydrodynamic predictions from NorKyst-800 (Myksvoll et al. 2018).
description: The compilation of this dataset was supported by the Norwegian Seafood Research Fund (FHF - Fiskeri- og havbruksnæringens forskningsfinansiering) as part of project 901685: Optimalisere forebyggende lusestrategi ved å kombinere atferd, miljø og teknologi (PreventLice).
DOI: 10.5281/zenodo.7587505
title: Modelled hydrodynamic profiles and salmon louse larval densities at Norwegian salmon farms

description: Data compiled for use by the PreventLice web app, a decision support tool intended to help Norwegian salmon farmers avoid salmon louse infestations: https://havforskningsinstituttet.shinyapps.io/preventlice Each file contains the relevant data for a registered salmonid farm in Norway, identified by its locality number according to the Norwegian Aquaculture Registry. A total of 1023 localities are included in version 1.0.0. The data are in long rectangular format, with each row corresponding to a single depth interval on a single date. Each row provides variables for locality number ("loc"), date ("date"), depth (m, "depth"), daily mean temperature (°C, "meanTemp"), daily mean salinity (ppt, "meanSal"), daily mean current speed (ms<sup>-1</sup>, "meanCurrSpd"), daily 95th percentile current speed (ms<sup>-1</sup>, "95PercCurrSpd"), daily salmon louse infestation pressure (copepodids m<sup>-3</sup>, "meanCopDensity"), and daily mean significant wave height (m, "SignWaveHeight"). Temperature, salinity and current speeds are taken from the NorFjords-160 model (Dalsøren et al. 2020), a finer-scale update of the NorKyst-800 model (Asplin et al. 2020). Wave height data are taken from the MyWaveWAM800m Norwegian coastal wave forecasting system (Norwegian Meteorological Institute). Salmon louse copepodid densities are estimated by coupling louse biology and behaviour parameters with hydrodynamic predictions from NorKyst-800 (Myksvoll et al. 2018).
description: The compilation of this dataset was supported by the Norwegian Seafood Research Fund (FHF - Fiskeri- og havbruksnæringens forskningsfinansiering) as part of project 901685: Optimalisere forebyggende lusestrategi ved å kombinere atferd, miljø og teknologi (PreventLice).
DOI: 10.12755/fostat.doc.2023.2
title: กรณีตัวอย่างของ Foods with Function Claims (FFC) Japan ข้อคิดเห็นของนักวิชาการไทยที่มีต่อการออกแบบงานวิจัยที่ศึกษาในมนุษย์ (Clinical Trial) กับการยื่นขอกล่าวอ้างทางสุขภาพ: เรื่อง “EPA / DHA ต่อการลดระดับไตรกลีเซอไรด์”
DOI: 10.12755/fostat.doc.2023.3
title: กรณีตัวอย่างของ Foods with Function Claims (FFC) Japan ข้อคิดเห็นของนักวิชาการไทยที่มีต่อการออกแบบงานวิจัยที่ศึกษาในมนุษย์ (Clinical Trial) กับการยื่นขอกล่าวอ้างทางสุขภาพ: เรื่อง “กรดคลอโรจีนิกต่อการทำงานของสมอง”
DOI: 10.12755/fostat.doc.2023.4
title: กรณีตัวอย่างของ Foods with Function Claims (FFC) Japan ข้อคิดเห็นของนักวิชาการไทยที่มีต่อการออกแบบงานวิจัยที่ศึกษาในมนุษย์ (Clinical Trial) กับการยื่นขอกล่าวอ้างทางสุขภาพ: เรื่อง “กาบาจากข้าวขาว น้ําส้มสายชู ปลาแห้งญี่ปุ่น และผักเคล ต่อความดันโลหิต”
DOI: 10.12755/fostat.doc.2023.5
title: กรณีตัวอย่างของ Foods with Function Claims (FFC) Japan ข้อคิดเห็นของนักวิชาการไทยที่มีต่อการออกแบบงานวิจัยที่ศึกษาในมนุษย์ (Clinical Trial) กับการยื่นขอกล่าวอ้างทางสุขภาพ: เรื่อง “คาเทชินจากชาเขียวต่อการลดไขมันในร่างกาย”
DOI: 10.12755/fostat.doc.2023.6
title: กรณีตัวอย่างของ Foods with Function Claims (FFC) Japan ข้อคิดเห็นของนักวิชาการไทยที่มีต่อการออกแบบงานวิจัยที่ศึกษาในมนุษย์ (Clinical Trial) กับการยื่นขอกล่าวอ้างทางสุขภาพ: เรื่อง “จินเจอรอลกับการรักษาอุณหภูมิของร่างกาย”
DOI: 10.12755/fostat.doc.2023.7
title: กรณีตัวอย่างของ Foods with Function Claims (FFC) Japan ข้อคิดเห็นของนักวิชาการไทยที่มีต่อการออกแบบงานวิจัยที่ศึกษาในมนุษย์ (Clinical Trial) กับการยื่นขอกล่าวอ้างทางสุขภาพ: เรื่อง “รูทินต่อการลดลงของน้ำหนักตัว”
DOI: 10.12755/fostat.doc.2023.8
title: กรณีตัวอย่างของ Foods with Function Claims (FFC) Japan ข้อคิดเห็นของนักวิชาการไทยที่มีต่อการออกแบบงานวิจัยที่ศึกษาในมนุษย์ (Clinical Trial) กับการยื่นขอกล่าวอ้างทางสุขภาพ: เรื่อง “เบตา-คริปโทแซนทินต่อสุขภาพกระดูก”
DOI: 10.12755/fostat.doc.2023.9
title: กรณีตัวอย่างของ Foods with Function Claims (FFC) Japan ข้อคิดเห็นของนักวิชาการไทยที่มีต่อการออกแบบงานวิจัยที่ศึกษาในมนุษย์ (Clinical Trial) กับการยื่นขอกล่าวอ้างทางสุขภาพ: เรื่อง “โพลีฟีนอลจากแอปเปิ้ลต่อภาวะน้ำตาลในเลือดสูง”
DOI: 10.12755/fostat.doc.2023.10
title: กรณีตัวอย่างของ Foods with Function Claims (FFC) Japan ข้อคิดเห็นของนักวิชาการไทยที่มีต่อการออกแบบงานวิจัยที่ศึกษาในมนุษย์ (Clinical Trial) กับการยื่นขอกล่าวอ้างทางสุขภาพ: เรื่อง “ไลโคปีนจากมะเขือเทศต่อการลดไขมันในร่างกาย”
DOI: 10.6084/m9.figshare.22002692.v2
title: NIR-FP brightness in live HEK cells

description: Randomly picked images of one protein before and after BV administration, expressed in HEK cells. See barcoding file for corresponding protein. Complete dataset available upon request. Recent progress in fluorescent protein development has generated a large diversity of near-infrared fluorescent proteins, which are rapidly becoming popular probes for a variety of imaging applications. To assist end-users with a selection of the right near-infrared fluorescent protein for a given application, we conducted a quantitative assessment of intracellular brightness, photostability, oligomeric state, and cytotoxicity of 22 near-infrared fluorescent proteins in cultured HEK cells and primary mouse neurons. The top-performing proteins were further validated for <em>in vivo</em> imaging of neurons in <em>C. elegans</em>, zebrafish, and mice as well as in liver of mice. We also assessed the applicability of the selected NIR FPs for multi-color imaging of fusions, expansion microscopy, and two-photon imaging.
DOI: 10.6084/m9.figshare.22002692.v1
title: NIR-FP brightness in live HEK cells

description: Randomly picked images of one protein before and after BV administration, expressed in HEK cells. See barcoding file for corresponding protein. Complete dataset available upon request. Recent progress in fluorescent protein development has generated a large diversity of near-infrared fluorescent proteins, which are rapidly becoming popular probes for a variety of imaging applications. To assist end-users with a selection of the right near-infrared fluorescent protein for a given application, we conducted a quantitative assessment of intracellular brightness, photostability, oligomeric state, and cytotoxicity of 22 near-infrared fluorescent proteins in cultured HEK cells and primary mouse neurons. The top-performing proteins were further validated for <em>in vivo</em> imaging of neurons in <em>C. elegans</em>, zebrafish, and mice as well as in liver of mice. We also assessed the applicability of the selected NIR FPs for multi-color imaging of fusions, expansion microscopy, and two-photon imaging.
DOI: 10.6084/m9.figshare.22003709.v2
title: NIR-FP brightness in fixed HEK cells

description: Randomly picked images of one protein before and after PFA fixation, expressed in HEK cells. See barcoding file for corresponding protein. Complete dataset available upon request. Recent progress in fluorescent protein development has generated a large diversity of near-infrared fluorescent proteins, which are rapidly becoming popular probes for a variety of imaging applications. To assist end-users with a selection of the right near-infrared fluorescent protein for a given application, we conducted a quantitative assessment of intracellular brightness, photostability, oligomeric state, and cytotoxicity of 22 near-infrared fluorescent proteins in cultured HEK cells and primary mouse neurons. The top-performing proteins were further validated for <em>in vivo</em> imaging of neurons in <em>C. elegans</em>, zebrafish, and mice as well as in liver of mice. We also assessed the applicability of the selected NIR FPs for multi-color imaging of fusions, expansion microscopy, and two-photon imaging.
DOI: 10.6084/m9.figshare.22003709.v1
title: NIR-FP brightness in fixed HEK cells

description: Randomly picked images of one protein before and after PFA fixation, expressed in HEK cells. See barcoding file for corresponding protein. Complete dataset available upon request. Recent progress in fluorescent protein development has generated a large diversity of near-infrared fluorescent proteins, which are rapidly becoming popular probes for a variety of imaging applications. To assist end-users with a selection of the right near-infrared fluorescent protein for a given application, we conducted a quantitative assessment of intracellular brightness, photostability, oligomeric state, and cytotoxicity of 22 near-infrared fluorescent proteins in cultured HEK cells and primary mouse neurons. The top-performing proteins were further validated for <em>in vivo</em> imaging of neurons in <em>C. elegans</em>, zebrafish, and mice as well as in liver of mice. We also assessed the applicability of the selected NIR FPs for multi-color imaging of fusions, expansion microscopy, and two-photon imaging.
DOI: 10.6084/m9.figshare.22003874.v2
title: NIR FPs dual color imaging in Hela cells

description: Complete set of images from one transfection in HeLa cells, expressing pair of NIR-FPs for dual color imaging in Cy5-LP and Cy5.5. See barcoding file for corresponding protein. Complete dataset available upon request. Recent progress in fluorescent protein development has generated a large diversity of near-infrared fluorescent proteins, which are rapidly becoming popular probes for a variety of imaging applications. To assist end-users with a selection of the right near-infrared fluorescent protein for a given application, we conducted a quantitative assessment of intracellular brightness, photostability, oligomeric state, and cytotoxicity of 22 near-infrared fluorescent proteins in cultured HEK cells and primary mouse neurons. The top-performing proteins were further validated for <em>in vivo</em> imaging of neurons in <em>C. elegans</em>, zebrafish, and mice as well as in liver of mice. We also assessed the applicability of the selected NIR FPs for multi-color imaging of fusions, expansion microscopy, and two-photon imaging.
DOI: 10.6084/m9.figshare.22003874.v1
title: NIR FPs dual color imaging in Hela cells

description: Complete set of images from one transfection in HeLa cells, expressing pair of NIR-FPs for dual color imaging in Cy5-LP and Cy5.5. See barcoding file for corresponding protein. Complete dataset available upon request. Recent progress in fluorescent protein development has generated a large diversity of near-infrared fluorescent proteins, which are rapidly becoming popular probes for a variety of imaging applications. To assist end-users with a selection of the right near-infrared fluorescent protein for a given application, we conducted a quantitative assessment of intracellular brightness, photostability, oligomeric state, and cytotoxicity of 22 near-infrared fluorescent proteins in cultured HEK cells and primary mouse neurons. The top-performing proteins were further validated for <em>in vivo</em> imaging of neurons in <em>C. elegans</em>, zebrafish, and mice as well as in liver of mice. We also assessed the applicability of the selected NIR FPs for multi-color imaging of fusions, expansion microscopy, and two-photon imaging.