cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.23641/asha.14462187.v1
title: Exercise and word learning (Pruitt & Morini, 2021)

description: <b>Purpose: </b>Previous studies show that there is increased brain activity after exercise, leading to improved word recall in adults. The aim of this study was to examine whether different types of exercise (i.e., aerobic vs. anaerobic) may also lead to improved performance during vocabulary learning in children.<b>Method: </b>A total of 48 participants (24 in Experiment 1 and 24 in Experiment 2) between the ages of 6 and 12 years completed a word learning task. Training of words took place in a resting and in an exercise condition using a within-subject design. In the resting measure, children were taught names of novel objects and then colored for 3 min before being tested on their ability to recognize the words. In the exercise condition, the same steps were followed, but instead of coloring, children engaged in 3 min of either aerobic exercise (i.e., swimming in Experiment 1) or anaerobic exercise (i.e., a CrossFit-like workout in Experiment 2).<b>Results:</b> In Experiment 1, accuracy of word recognition was significantly higher for words that were trained in the aerobic exercise compared to the resting condition. In Experiment 2, there was no significant difference in performance between the anaerobic exercise and resting conditions.<b>Conclusions:</b> These findings suggest that previously identified benefits of exercise on language abilities in adults also extend to school-aged children. However, not all types of physical activity lead to this boost in performance, as only aerobic (but not anaerobic) exercise improved children’s ability to acquire new word–object relations.<br><b>Supplemental Material S1.</b> List of nonword stimuli.<br>Pruitt, M., & Morini, G. (2021). Examining the role of physical activity on word leaning in school-aged children. <i>Journal of Speech, Language, and Hearing Research</i>. Advance online publication. https://doi.org/10.1044/2021_JSLHR-20-00359
DOI: 10.6084/m9.figshare.14502297
title: SI_data.xlsx

description: Attitudes on MBE were surveyed in Serbia
DOI: 10.5517/ccdc.csd.cc279kch
title: CCDC 2064766: Experimental Crystal Structure Determination

description: Related Article: Shitao Wang, Chaoxian Yan, Wenlong Zhao, Xiaolan Liu, Cheng-Shan Yuan, Hao-Li Zhang, Xiangfeng Shao|2021|Chemical Science|12|5811|doi:10.1039/D1SC00397F
DOI: 10.5517/ccdc.csd.cc279xdw
title: CCDC 2065108: Experimental Crystal Structure Determination

description: Related Article: Dandan Wang, Xinyuan Zhang, Fei Liang, Zhanggui Hu, Yicheng Wu|2021|Dalton Trans.|50|5617|doi:10.1039/D1DT00793A
DOI: 10.5517/ccdc.csd.cc27dc56
title: CCDC 2067457: Experimental Crystal Structure Determination

description: Related Article: Yumei Mao, Xuehua Dong, Yuandan Deng, Jing Li, Ling Huang, Hongmei Zeng, Guohong Zou, Zhien Lin|2021|Dalton Trans.|50|5442|doi:10.1039/D1DT00939G
DOI: 10.5517/ccdc.csd.cc27dc67
title: CCDC 2067458: Experimental Crystal Structure Determination

description: Related Article: Yumei Mao, Xuehua Dong, Yuandan Deng, Jing Li, Ling Huang, Hongmei Zeng, Guohong Zou, Zhien Lin|2021|Dalton Trans.|50|5442|doi:10.1039/D1DT00939G
DOI: 10.5517/ccdc.csd.cc27dc78
title: CCDC 2067459: Experimental Crystal Structure Determination

description: Related Article: Yumei Mao, Xuehua Dong, Yuandan Deng, Jing Li, Ling Huang, Hongmei Zeng, Guohong Zou, Zhien Lin|2021|Dalton Trans.|50|5442|doi:10.1039/D1DT00939G
DOI: 10.5517/ccdc.csd.cc27f2vm
title: CCDC 2068160: Experimental Crystal Structure Determination

description: Related Article: Omar Ouadoudi, Tanja Kaehler, Michael Bolte, Hans-Wolfram Lerner, Matthias Wagner|2021|Chemical Science|12|5898|doi:10.1039/D1SC00543J
DOI: 10.5517/ccdc.csd.cc27f2wn
title: CCDC 2068161: Experimental Crystal Structure Determination

description: Related Article: Omar Ouadoudi, Tanja Kaehler, Michael Bolte, Hans-Wolfram Lerner, Matthias Wagner|2021|Chemical Science|12|5898|doi:10.1039/D1SC00543J
DOI: 10.5517/ccdc.csd.cc272q57
title: CCDC 2058188: Experimental Crystal Structure Determination

description: Related Article: Jingjing Liu, Kalyan Singh, Sayan Dutta, Zhongtao Feng, Debasis Koley, Gengwen Tan, Xinping Wang|2021|Dalton Trans.|50|5552|doi:10.1039/D1DT00798J
DOI: 10.5517/ccdc.csd.cc272q46
title: CCDC 2058187: Experimental Crystal Structure Determination

description: Related Article: Jingjing Liu, Kalyan Singh, Sayan Dutta, Zhongtao Feng, Debasis Koley, Gengwen Tan, Xinping Wang|2021|Dalton Trans.|50|5552|doi:10.1039/D1DT00798J
DOI: 10.5517/ccdc.csd.cc272q35
title: CCDC 2058186: Experimental Crystal Structure Determination

description: Related Article: Jingjing Liu, Kalyan Singh, Sayan Dutta, Zhongtao Feng, Debasis Koley, Gengwen Tan, Xinping Wang|2021|Dalton Trans.|50|5552|doi:10.1039/D1DT00798J
DOI: 10.5517/ccdc.csd.cc27fqn2
title: CCDC 2068774: Experimental Crystal Structure Determination

description: Related Article: Lydia G. Burley, James H. Beecham-Lonsdale, Anant Kumar Srivastava, Ines E. Collings, Paul J. Saines|2021|Dalton Trans.|50|5437|doi:10.1039/D1DT00878A
DOI: 10.5517/ccdc.csd.cc27fqp3
title: CCDC 2068775: Experimental Crystal Structure Determination

description: Related Article: Lydia G. Burley, James H. Beecham-Lonsdale, Anant Kumar Srivastava, Ines E. Collings, Paul J. Saines|2021|Dalton Trans.|50|5437|doi:10.1039/D1DT00878A
DOI: 10.5517/ccdc.csd.cc27fqq4
title: CCDC 2068776: Experimental Crystal Structure Determination

description: Related Article: Lydia G. Burley, James H. Beecham-Lonsdale, Anant Kumar Srivastava, Ines E. Collings, Paul J. Saines|2021|Dalton Trans.|50|5437|doi:10.1039/D1DT00878A
DOI: 10.5517/ccdc.csd.cc27fqr5
title: CCDC 2068777: Experimental Crystal Structure Determination

description: Related Article: Lydia G. Burley, James H. Beecham-Lonsdale, Anant Kumar Srivastava, Ines E. Collings, Paul J. Saines|2021|Dalton Trans.|50|5437|doi:10.1039/D1DT00878A
DOI: 10.5517/ccdc.csd.cc27fqs6
title: CCDC 2068778: Experimental Crystal Structure Determination

description: Related Article: Lydia G. Burley, James H. Beecham-Lonsdale, Anant Kumar Srivastava, Ines E. Collings, Paul J. Saines|2021|Dalton Trans.|50|5437|doi:10.1039/D1DT00878A
DOI: 10.5517/ccdc.csd.cc27fqt7
title: CCDC 2068779: Experimental Crystal Structure Determination

description: Related Article: Lydia G. Burley, James H. Beecham-Lonsdale, Anant Kumar Srivastava, Ines E. Collings, Paul J. Saines|2021|Dalton Trans.|50|5437|doi:10.1039/D1DT00878A
DOI: 10.5517/ccdc.csd.cc26brs3
title: CCDC 2036135: Experimental Crystal Structure Determination

description: Related Article: Hajime Kamebuchi, Hiroki Murakami, Ryosuke Shiga, Makoto Tadokoro|2021|Dalton Trans.|50|5452|doi:10.1039/D0DT04425C
DOI: 10.5517/ccdc.csd.cc26brt4
title: CCDC 2036136: Experimental Crystal Structure Determination

description: Related Article: Hajime Kamebuchi, Hiroki Murakami, Ryosuke Shiga, Makoto Tadokoro|2021|Dalton Trans.|50|5452|doi:10.1039/D0DT04425C
DOI: 10.5517/ccdc.csd.cc274lzz
title: CCDC 2060011: Experimental Crystal Structure Determination

description: Related Article: Aoi Hara, Sotaro Kusumoto, Yoshihiro Sekine, Jack Harrowfield, Yang Kim, Shinya Hayami, Masaaki Nakamura|2021|Dalton Trans.|50|5428|doi:10.1039/D1DT00569C
DOI: 10.5517/ccdc.csd.cc274m01
title: CCDC 2060012: Experimental Crystal Structure Determination

description: Related Article: Aoi Hara, Sotaro Kusumoto, Yoshihiro Sekine, Jack Harrowfield, Yang Kim, Shinya Hayami, Masaaki Nakamura|2021|Dalton Trans.|50|5428|doi:10.1039/D1DT00569C
DOI: 10.5517/ccdc.csd.cc274m12
title: CCDC 2060013: Experimental Crystal Structure Determination

description: Related Article: Aoi Hara, Sotaro Kusumoto, Yoshihiro Sekine, Jack Harrowfield, Yang Kim, Shinya Hayami, Masaaki Nakamura|2021|Dalton Trans.|50|5428|doi:10.1039/D1DT00569C
DOI: 10.5517/ccdc.csd.cc274m23
title: CCDC 2060014: Experimental Crystal Structure Determination

description: Related Article: Aoi Hara, Sotaro Kusumoto, Yoshihiro Sekine, Jack Harrowfield, Yang Kim, Shinya Hayami, Masaaki Nakamura|2021|Dalton Trans.|50|5428|doi:10.1039/D1DT00569C
DOI: 10.5517/ccdc.csd.cc274m34
title: CCDC 2060015: Experimental Crystal Structure Determination

description: Related Article: Aoi Hara, Sotaro Kusumoto, Yoshihiro Sekine, Jack Harrowfield, Yang Kim, Shinya Hayami, Masaaki Nakamura|2021|Dalton Trans.|50|5428|doi:10.1039/D1DT00569C
DOI: 10.5517/ccdc.csd.cc274m45
title: CCDC 2060016: Experimental Crystal Structure Determination

description: Related Article: Aoi Hara, Sotaro Kusumoto, Yoshihiro Sekine, Jack Harrowfield, Yang Kim, Shinya Hayami, Masaaki Nakamura|2021|Dalton Trans.|50|5428|doi:10.1039/D1DT00569C
DOI: 10.5517/ccdc.csd.cc26brr2
title: CCDC 2036134: Experimental Crystal Structure Determination

description: Related Article: Hajime Kamebuchi, Hiroki Murakami, Ryosuke Shiga, Makoto Tadokoro|2021|Dalton Trans.|50|5452|doi:10.1039/D0DT04425C
DOI: 10.5519/qd.bzljzygm
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (42 records)
DOI: 10.24431/rw1k57x
title: Flatfish maturity and growth across the eastern and northern Bering Sea continental shelves from 2010 and 2017 samples

description: The flatfish (Pleuronectidae) biomass across the Bering Sea continental shelf is comprised of several major species. From this flatfish taxon, a few are particularly abundant, commercially important, and vital components of the Bering Sea ecosystem. A comprehensive bottom trawl survey conducted by the Alaska Fisheries Science Center (AFSC) in the eastern Bering Sea (EBS) and northern Bering Sea (NBS) in 2010, showed that yellowfin sole (Limanda aspera) is the most abundant in both areas, while Alaska plaice (Pleuronectes quadrituberculatus), is the second most abundant flatfish in the NBS. Yellowfin sole accounts for roughly a third of the total flatfish biomass in the EBS, while both comprise nearly two-thirds of the total fish biomass in the NBS. These data examine spatial and temporal variation of maturity and growth for yellowfin sole and Alaska plaice by expanding existing predictive models that relate body size variation to environmental covariates. Results of previous projects, from 2010 and 2017 surveys, alongside historical data records from previously collected maturity samples from Greenland turbot (Reinhardtius hippoglossoides), and Bering flounder (Hippoglossoides robustus) for initial maturity-at-age estimates. The data are presented as two tables, one each for the variables age and maturity.
DOI: 10.3886/e139181
title: Long-Term Gains from Longer School Days

description: This archive includes the data and programs required to replicate the findings in Dominguez and Ruffini (2021, JHR).
DOI: 10.3886/e139181v1
title: Long-Term Gains from Longer School Days

description: This archive includes the data and programs required to replicate the findings in Dominguez and Ruffini (2021, JHR).
DOI: 10.5281/zenodo.4726051
title: WATER EQUIVALENCE OF VARIOUS 3D PRINTED MATERIALS FOR PROTON THERAPY — MONTE CARLO SIMULATION, TREATMENT PLANNING MODELLING AND VALIDATION BY MEASUREMENTS

description: In this article, Water Equivalent Ratio (WER) of three selected materials: Polylactic Acid (PLA), Acrylonitrilebutadiene Styrene (ABS) and Polyethylene Terephthalate Glycol (PETG) — commonly used in additive manufacturing technology — was measured on 60 MeV proton beam and compared with values predicted by Treatment Planning System (TPS) and Monte Carlo (MC) simulation. The agreement within 0.02–2.98% and 0.11–6.46% was found between results obtained from the measurement with comparison to the MC simulation and TPS, respectively. It was concluded that 3D printable materials can be safely used in proton therapy. Uploaded files: .inp files - Inputs for Fluka simulation for each tested plate (ABS, PETG and PLA as the material names, 0.5, 1.0 and 2.0 are the theoretical widths). .txt files - raw data for each plate received from measurements on on 60 MeV proton beam. 2020_Wochnik_ActaPhysPol_raw_data.xlsx - raw data collected in one sheet and analysis.
DOI: 10.5281/zenodo.4726050
title: WATER EQUIVALENCE OF VARIOUS 3D PRINTED MATERIALS FOR PROTON THERAPY — MONTE CARLO SIMULATION, TREATMENT PLANNING MODELLING AND VALIDATION BY MEASUREMENTS

description: In this article, Water Equivalent Ratio (WER) of three selected materials: Polylactic Acid (PLA), Acrylonitrilebutadiene Styrene (ABS) and Polyethylene Terephthalate Glycol (PETG) — commonly used in additive manufacturing technology — was measured on 60 MeV proton beam and compared with values predicted by Treatment Planning System (TPS) and Monte Carlo (MC) simulation. The agreement within 0.02–2.98% and 0.11–6.46% was found between results obtained from the measurement with comparison to the MC simulation and TPS, respectively. It was concluded that 3D printable materials can be safely used in proton therapy. Uploaded files: .inp files - Inputs for Fluka simulation for each tested plate (ABS, PETG and PLA as the material names, 0.5, 1.0 and 2.0 are the theoretical widths). .txt files - raw data for each plate received from measurements on on 60 MeV proton beam. 2020_Wochnik_ActaPhysPol_raw_data.xlsx - raw data collected in one sheet and analysis.
DOI: 10.5281/zenodo.4726030
title: Out-of-field doses for scanning proton radiotherapy of shallowly located paediatric tumours—a comparison of range shifter and 3D printed compensator

description: The lowest possible energy of proton scanning beam in cyclotron proton therapy facilities is typically between 60 and 100 MeV. Treatment of superficial lesions requires a pre-absorber to deliver doses to shallower volumes. In most of the cases a range shifter (RS) is used, but as an alternative solution, a patient-specific 3D printed proton beam compensator (BC) can be applied. A BC enables further reduction of the air gap and consequently reduction of beam scattering. Such pre-absorbers are additional sources of secondary radiation. The aim of this work was the comparison of RS and BC with respect to out-of-field doses for a simulated treatment of superficial paediatric brain tumours. EURADOS WG9 performed comparative measurements of scattered radiation in the Proteus C-235 IBA facility (Cyclotron Centre Bronowice at the Institute of Nuclear Physics, CCB IFJ PAN, Kraków, Poland) using two anthropomorphic phantoms—5 and 10 yr old—for a superficial target in the brain. Both active detectors located inside the therapy room, and passive detectors placed inside the phantoms were used. Measurements were supplemented by Monte Carlo simulation of the radiation transport. For the applied 3D printed pre-absorbers, out-of-field doses from both secondary photons and neutrons were lower than for RS. Measurements with active environmental dosimeters at five positions inside the therapy room indicated that the RS/BC ratio of the out-of-field dose was also higher than one, with a maximum of 1.7. Photon dose inside phantoms leads to higher out-of-field doses for RS than BC to almost all organs with the highest RS/BC ratio 12.5 and 13.2 for breasts for 5 and 10 yr old phantoms, respectively. For organs closest to the isocentre such as the thyroid, neutron doses were lower for BC than RS due to neutrons moderation in the target volume, but for more distant organs like bladder—conversely—lower doses for RS than BC were observed. The use of 3D printed BC as the pre-absorber placed in the near vicinity of patient in the treatment of superficial tumours does not result in the increase of secondary radiation compared to the treatment with RS, placed far from the patient.
DOI: 10.5281/zenodo.4726028
title: Out-of-field doses for scanning proton radiotherapy of shallowly located paediatric tumours—a comparison of range shifter and 3D printed compensator

description: The lowest possible energy of proton scanning beam in cyclotron proton therapy facilities is typically between 60 and 100 MeV. Treatment of superficial lesions requires a pre-absorber to deliver doses to shallower volumes. In most of the cases a range shifter (RS) is used, but as an alternative solution, a patient-specific 3D printed proton beam compensator (BC) can be applied. A BC enables further reduction of the air gap and consequently reduction of beam scattering. Such pre-absorbers are additional sources of secondary radiation. The aim of this work was the comparison of RS and BC with respect to out-of-field doses for a simulated treatment of superficial paediatric brain tumours. EURADOS WG9 performed comparative measurements of scattered radiation in the Proteus C-235 IBA facility (Cyclotron Centre Bronowice at the Institute of Nuclear Physics, CCB IFJ PAN, Kraków, Poland) using two anthropomorphic phantoms—5 and 10 yr old—for a superficial target in the brain. Both active detectors located inside the therapy room, and passive detectors placed inside the phantoms were used. Measurements were supplemented by Monte Carlo simulation of the radiation transport. For the applied 3D printed pre-absorbers, out-of-field doses from both secondary photons and neutrons were lower than for RS. Measurements with active environmental dosimeters at five positions inside the therapy room indicated that the RS/BC ratio of the out-of-field dose was also higher than one, with a maximum of 1.7. Photon dose inside phantoms leads to higher out-of-field doses for RS than BC to almost all organs with the highest RS/BC ratio 12.5 and 13.2 for breasts for 5 and 10 yr old phantoms, respectively. For organs closest to the isocentre such as the thyroid, neutron doses were lower for BC than RS due to neutrons moderation in the target volume, but for more distant organs like bladder—conversely—lower doses for RS than BC were observed. The use of 3D printed BC as the pre-absorber placed in the near vicinity of patient in the treatment of superficial tumours does not result in the increase of secondary radiation compared to the treatment with RS, placed far from the patient.
DOI: 10.7303/syn25618937
title: Multi-region brain transcriptomes uncover two subtypes of aging individuals with differences in the impact of APOEe4
DOI: 10.5517/ccdc.csd.cc25y4hs
title: CCDC 2024005: Experimental Crystal Structure Determination

description: Related Article: Bo Wu, Lingfeng Yang, Diandian Zhai, Congming Ma, Chonghua Pei
|2021|FirePhysChem|1|76|doi:10.1016/j.fpc.2021.03.002
DOI: 10.5517/ccdc.csd.cc25y4jt
title: CCDC 2024006: Experimental Crystal Structure Determination

description: Related Article: Bo Wu, Lingfeng Yang, Diandian Zhai, Congming Ma, Chonghua Pei
|2021|FirePhysChem|1|76|doi:10.1016/j.fpc.2021.03.002
DOI: 10.6084/m9.figshare.14502420
title: Braille and Hawaii MG DRAM preview

description: put up for sharing with this page: https://hackmd.io/@astrobiomike/BRAILLE-notes-28-Apr-2021
DOI: 10.6084/m9.figshare.14502420.v1
title: Braille and Hawaii MG DRAM preview

description: put up for sharing with this page: https://hackmd.io/@astrobiomike/BRAILLE-notes-28-Apr-2021
DOI: 10.6084/m9.figshare.14468853
title: Gryllus_bimaculatus_Repetitive_Content.out

description: Repetitive content annotation of the Gryllus bimaculatus genome (https://gbimaculatusgenome.rc.fas.harvard.edu/). Repeat annotation generated by RepeatMasker using a custom repeat library described by Ylla et al. 2021 "Insights into the genomic evolution of insects from cricket genomes"
DOI: 10.6084/m9.figshare.14468853.v1
title: Gryllus_bimaculatus_Repetitive_Content.out

description: Repetitive content annotation of the Gryllus bimaculatus genome (https://gbimaculatusgenome.rc.fas.harvard.edu/). Repeat annotation generated by RepeatMasker using a custom repeat library described by Ylla et al. 2021 "Insights into the genomic evolution of insects from cricket genomes"
DOI: 10.6084/m9.figshare.14468850.v1
title: Gryllus_bimaculatus_Repetitive_Content.out.gff

description: Repetitive content annotation of the Gryllus bimaculatus genome (https://gbimaculatusgenome.rc.fas.harvard.edu/). Repeat annotation generated by RepeatMasker using a custom repeat library described by Ylla et al. 2021 "Insights into the genomic evolution of insects from cricket genomes"
DOI: 10.6084/m9.figshare.14468850
title: Gryllus_bimaculatus_Repetitive_Content.out.gff

description: Repetitive content annotation of the Gryllus bimaculatus genome (https://gbimaculatusgenome.rc.fas.harvard.edu/). Repeat annotation generated by RepeatMasker using a custom repeat library described by Ylla et al. 2021 "Insights into the genomic evolution of insects from cricket genomes"
DOI: 10.25422/azu.data.14270552
title: NASA INCA CONUS Land Surface Phenology, Contiguous United States, 2001 - 2017

description: The MODIS Land Cover Dynamics Product (MLCD) provides global land surface phenology (LSP) data from 2001-2017. MLCD serves a wide variety of applications and is currently the only source of operationally produced global LSP data. MLCD data have enabled important discoveries about the role of climate in driving seasonal vegetation changes, helped to create improved maps of land cover, and support ecosystem modeling efforts, among many other important applications. The LSP Climate Indicators (LSP-CI) dataset is a curated collection of the most relevant phenological indicators: a measure of spring and autumn timing and a measure of seasonal productivity. Statistically robust estimates of long-term normals (median and median absolute deviation, MAD), significance-screened trends (Theil-Sen slope magnitude where p&lt;=0.05), and interannual anomalies (in days as well as multiples of MAD) have been computed for these three phenological indicators. The data have been mosaiced across CONUS, reprojected and resampled to a more familiar spatial reference system that matches complementary datasets and delivered in the universally accessible GeoTIFF format, via the USA-NPN Geoserver (user access facilitated by the Geoserver Request Builder: https://www.usanpn.org/geoserver-request-builder).<br><br><i>For all inquiries regarding this dataset, please contact the USA-NPN. This data is subject to the USA-NPN's Data Use Policy.</i>
DOI: 10.25422/azu.data.14270552.v1
title: NASA INCA CONUS Land Surface Phenology, Contiguous United States, 2001 - 2017

description: The MODIS Land Cover Dynamics Product (MLCD) provides global land surface phenology (LSP) data from 2001-2017. MLCD serves a wide variety of applications and is currently the only source of operationally produced global LSP data. MLCD data have enabled important discoveries about the role of climate in driving seasonal vegetation changes, helped to create improved maps of land cover, and support ecosystem modeling efforts, among many other important applications. The LSP Climate Indicators (LSP-CI) dataset is a curated collection of the most relevant phenological indicators: a measure of spring and autumn timing and a measure of seasonal productivity. Statistically robust estimates of long-term normals (median and median absolute deviation, MAD), significance-screened trends (Theil-Sen slope magnitude where p&lt;=0.05), and interannual anomalies (in days as well as multiples of MAD) have been computed for these three phenological indicators. The data have been mosaiced across CONUS, reprojected and resampled to a more familiar spatial reference system that matches complementary datasets and delivered in the universally accessible GeoTIFF format, via the USA-NPN Geoserver (user access facilitated by the Geoserver Request Builder: https://www.usanpn.org/geoserver-request-builder).<br><br><i>For all inquiries regarding this dataset, please contact the USA-NPN. This data is subject to the USA-NPN's Data Use Policy.</i>
DOI: 10.5281/zenodo.4726135
title: Meridional Wind Measurement by the University of Colorado's Antarctic meteor radar

description: The University of Colorado's Antarctic meteor radar uses radio reflections from meteor trails to estimate the prevailing mesospheric and lower thermospheric winds over McMurdo Station, Antarctica. These measurements add to the understanding of upper atmospheric dynamics and the space-atmosphere interaction region. For more information, please visit: https://ccar.colorado.edu/meteors/