cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4290789
title: Datasets and Supporting Materials for the MALIN-ANR 2019 Competition (French national research agency)

description: This "ZENODO deposit" provides a multiple sensor dataset collected by the CyborgLOC team during the intermediate competition of the Challenge MALIN (<em>MA</em><em>îtrise</em><em> de la </em><em>L</em><em>ocalisation </em><em>IN</em><em>door</em>), which is a competition for indoor/outdoor real-time positioning. The sensors, including a GNSS receiver Ublox NEO-M8N, a Realsense D435i stereo camera, three Xsens MTi-300 and one PERSY (<strong>PE</strong>destrian <strong>R</strong>eference <strong>SY</strong>stem), are mounted on different parts of the subject’s body. The PERSY is a foot-mounted positioning device with a tri-axial accelerometer, a tri-axial gyroscope, a tri-axial magnetometer as well as a GNSS receiver Ublox M8T. The two scenarios are designed in a training center of firefighters CFIS (Fire and Rescue Training Center) in Blois, France to simulate the situation of firefighters during interventions. With total distances around 2 km for each scenario, the travelled trajectories passed through challenging environments including indoor, outdoor, urban canyon. The indoor part contains different stair levels, from the underground up to the 6th floor. The travel modes are vehicles and pedestrians. Several classical activities of firefighters are realized such as walking, running, stair-climbing, side-walking, crawling, passing above/below obstacles, carrying a stretcher, ladder climbing, etc. High accurate ground truth of stationary points and enclosing volumes are provided by the organizers of the competition, i.e., the French Ministry of Defense (DGA: Direction Générale de l’Armement). Provided with raw data, they allow the evaluation of the positioning performances. To facilitate the use of our dataset under Rosbag format, a toolkit of python scripts named <em>MALIN Data Processing Tools</em> is provided on GitHub (https://github.com/4g-group/malin_data_processing_tools). It allows merging Rosbags, converting Rosbag files to CSV files as well as republishing camera’s topics as decompressed data. Details about these processing tools could be found in the Readme file on the Github page.
description: v1.1: minor changes in ZENODO Repo1 wo_camera.zip (folders 4_CyborgLocTeam_output) v1.0: initial version
DOI: 10.5281/zenodo.3785045
title: Datasets and Supporting Materials for the MALIN-ANR 2019 Competition (French national research agency)

description: This "ZENODO deposit" provides a multiple sensor dataset collected by the CyborgLOC team during the intermediate competition of the Challenge MALIN (<em>MA</em><em>îtrise</em><em> de la </em><em>L</em><em>ocalisation </em><em>IN</em><em>door</em>), which is a competition for indoor/outdoor real-time positioning. The sensors, including a GNSS receiver Ublox NEO-M8N, a Realsense D435i stereo camera, three Xsens MTi-300 and one PERSY (<strong>PE</strong>destrian <strong>R</strong>eference <strong>SY</strong>stem), are mounted on different parts of the subject’s body. The PERSY is a foot-mounted positioning device with a tri-axial accelerometer, a tri-axial gyroscope, a tri-axial magnetometer as well as a GNSS receiver Ublox M8T. The two scenarios are designed in a training center of firefighters CFIS (Fire and Rescue Training Center) in Blois, France to simulate the situation of firefighters during interventions. With total distances around 2 km for each scenario, the travelled trajectories passed through challenging environments including indoor, outdoor, urban canyon. The indoor part contains different stair levels, from the underground up to the 6th floor. The travel modes are vehicles and pedestrians. Several classical activities of firefighters are realized such as walking, running, stair-climbing, side-walking, crawling, passing above/below obstacles, carrying a stretcher, ladder climbing, etc. High accurate ground truth of stationary points and enclosing volumes are provided by the organizers of the competition, i.e., the French Ministry of Defense (DGA: Direction Générale de l’Armement). Provided with raw data, they allow the evaluation of the positioning performances. To facilitate the use of our dataset under Rosbag format, a toolkit of python scripts named <em>MALIN Data Processing Tools</em> is provided on GitHub (https://github.com/4g-group/malin_data_processing_tools). It allows merging Rosbags, converting Rosbag files to CSV files as well as republishing camera’s topics as decompressed data. Details about these processing tools could be found in the Readme file on the Github page.
description: v1.1: minor changes in ZENODO Repo1 wo_camera.zip (folders 4_CyborgLocTeam_output) v1.0: initial version
DOI: 10.5519/qd.c88kx64g
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (110243 records)
DOI: 10.5517/ccdc.csd.cc256t4c
title: CCDC 2002542: Experimental Crystal Structure Determination

description: Related Article: Constance Lecourt, Yuuta Izumi, Lhoussain Khrouz, François Toche, Rodica Chiriac, Nicolas Bélanger-Desmarais, Christian Reber, Oscar Fabelo, Katsuya Inoue, Cédric Desroches, Dominique Luneau|2020|Dalton Trans.|49|15646|doi:10.1039/D0DT03243C
DOI: 10.5517/ccdc.csd.cc256t6f
title: CCDC 2002544: Experimental Crystal Structure Determination

description: Related Article: Constance Lecourt, Yuuta Izumi, Lhoussain Khrouz, François Toche, Rodica Chiriac, Nicolas Bélanger-Desmarais, Christian Reber, Oscar Fabelo, Katsuya Inoue, Cédric Desroches, Dominique Luneau|2020|Dalton Trans.|49|15646|doi:10.1039/D0DT03243C
DOI: 10.5517/ccdc.csd.cc256t7g
title: CCDC 2002545: Experimental Crystal Structure Determination

description: Related Article: Constance Lecourt, Yuuta Izumi, Lhoussain Khrouz, François Toche, Rodica Chiriac, Nicolas Bélanger-Desmarais, Christian Reber, Oscar Fabelo, Katsuya Inoue, Cédric Desroches, Dominique Luneau|2020|Dalton Trans.|49|15646|doi:10.1039/D0DT03243C
DOI: 10.5517/ccdc.csd.cc256t9j
title: CCDC 2002547: Experimental Crystal Structure Determination

description: Related Article: Constance Lecourt, Yuuta Izumi, Lhoussain Khrouz, François Toche, Rodica Chiriac, Nicolas Bélanger-Desmarais, Christian Reber, Oscar Fabelo, Katsuya Inoue, Cédric Desroches, Dominique Luneau|2020|Dalton Trans.|49|15646|doi:10.1039/D0DT03243C
DOI: 10.5517/ccdc.csd.cc259cyt
title: CCDC 2005016: Experimental Crystal Structure Determination

description: Related Article: Sheela Kumari, Anand Ratnam, Kiran Mawai, Virendra Kumar Chaudhary, Aurobinda Mohanty, Kaushik Ghosh|2020|New J.Chem.|44|19591|doi:10.1039/D0NJ02568B
DOI: 10.5517/ccdc.csd.cc25bvq3
title: CCDC 2006435: Experimental Crystal Structure Determination

description: Related Article: Dominique R. Wozniak, Benjamin Salfer, Matthias Zeller, Edward F. C. Byrd, Davin G. Piercey|2020|Org.Lett.|22|9114|doi:10.1021/acs.orglett.0c03510
DOI: 10.5517/ccdc.csd.cc25bvr4
title: CCDC 2006436: Experimental Crystal Structure Determination

description: Related Article: Dominique R. Wozniak, Benjamin Salfer, Matthias Zeller, Edward F. C. Byrd, Davin G. Piercey|2020|Org.Lett.|22|9114|doi:10.1021/acs.orglett.0c03510
DOI: 10.5517/ccdc.csd.cc25dtl0
title: CCDC 2008322: Experimental Crystal Structure Determination

description: Related Article: Aamer Saeed, Asma Khurshid, Ulrich Flörke, Gustavo A. Echeverría, Oscar E. Piro, Diego M. Gil, Mariana Rocha, Antonio Frontera, Hesham R. El-Seedi, Amara Mumtaz, Mauricio F. Erben|2020|New J.Chem.|44|19541|doi:10.1039/D0NJ03958F
DOI: 10.5517/ccdc.csd.cc25r3vx
title: CCDC 2018219: Experimental Crystal Structure Determination

description: Related Article: Noel Angel Espinosa-Jalapa, Nele Berg, Michael Seidl, Ilya G. Shenderovich, Ruth M. Gschwind, Jonathan O. Bauer|2020|Chem.Commun.|56|13335|doi:10.1039/D0CC05682K
DOI: 10.5517/ccdc.csd.cc25r3wy
title: CCDC 2018220: Experimental Crystal Structure Determination

description: Related Article: Noel Angel Espinosa-Jalapa, Nele Berg, Michael Seidl, Ilya G. Shenderovich, Ruth M. Gschwind, Jonathan O. Bauer|2020|Chem.Commun.|56|13335|doi:10.1039/D0CC05682K
DOI: 10.5517/ccdc.csd.cc25rnj4
title: CCDC 2018736: Experimental Crystal Structure Determination

description: Related Article: Yan He, Zhi Zheng, Qimeng Liu, Xinying Zhang, Xuesen Fan|2020|Org.Lett.|22|9053|doi:10.1021/acs.orglett.0c03442
DOI: 10.5517/ccdc.csd.cc25rs2t
title: CCDC 2018846: Experimental Crystal Structure Determination

description: Related Article: Yvonne S. L. Choo, Marta Giamberini, José Antonio, Paul G. Waddell, Andrew C. Benniston|2020|Org.Biomol.Chem.|18|8735|doi:10.1039/D0OB01533D
DOI: 10.5517/ccdc.csd.cc25v7y7
title: CCDC 2021229: Experimental Crystal Structure Determination

description: Related Article: Koffi Sénam Etsè, Guillermo Zaragoza, Frédéric Boschini, Abdelfattah Mahmoud|2020|Inorg.Chem.Commun.|122|108291|doi:10.1016/j.inoche.2020.108291
DOI: 10.15468/npmkha
title: FLORA OF THE KURILSKIY NATURE RESERVE

description: Monitoring and inventory of the species of the Kurilsky Nature Reserve is carried out since 1984. Flora of the reserve totals 1915 species, including 374 species of mosses, 271 species of algae, 91 species of mushrooms and 214 species of lichens. The Red Data Books of the Russian Federation and the Sakhalin Region includes 104 species of vascular plants. The vegetation cover is characterized by the altitudinal zonality. Comprising 80% of the protective zone forests form the basis of the vegetation cover. Dark-coniferous forests formed by the Sakhalin fir (Abies sachalinensis), Yezzo and Glen’s spruce (Picea jezoensis, P. glehnii) account for 62% of the forested area. Deciduous forests formed by Erman's birch (Betula ermanii), Manchurian alder (Alnus hirsuta), Japanese rowan (Sorbus commixta), Mayr’s maple (Acer mayrii), tree aralia (Kalopanax septemlobus) with the undergrowth of panicled hydrangea (Hydrangea paniculata), elderberry (Sambucus miquelii), Sakhalin bilberry (Vaccinium smallii) and woody vines of the variegated-leaf hardy kiwi and hardy kiwi (Actinidia kolomikta, Actinidia arguta), climbing hydrangea (Hydrangea petiolaris), Asian poison ivy (Toxicodendron orientale) occupy 19% of the reserve. The same part of the territory (19%) is covered with the overgrowth of the Siberian dwarf pine (Pinus pumila). Demin and Oskolki Islands are characterized by meadow herbs and grasses-fruticous communities. The stem height of the main representatives of tall grasses– the Sakhalin knotweed (Reynoutria sachalinensis), bear’s angelica (Angelica ursina), Cacalia robusta, and Aleutian ragwort (Senecio cannabifolius) – reaches 4 m. A particular landscape role is played by the representatives of the Sasa genus (creeping bamboo) which form the dense impenetrable overgrowth in the forest glades and understocked stands. Bamboo helps strengthen slopes and plays a major role in soil formation thanks to a powerful root system and abundant litter. The reserve has 12 species of this plant. The flora of the reserve accounts for 1339 species, including 374 species of mosses, 263 species of algae, more than 200 species of mushrooms and more than 300 species of lichens. 104 species of vascular plants are listed in the Red Data Books of Russia (2008) and the Sakhalin Region (2005). The most interesting plants are the ones found only on Kunashir Island, in the area ofits northern border: the Amur maple (Acer japonicum), Japanese monarch birch (Betula maximowicziana), Daphniphyllum humile, Japanese rhododendron (Rhododendron tschonoskii), whitebark magnolia (Magnolia hypoleuca), Japanese hydrangea vine (Schizophragma hydrangeoides), Japanese lime (Tilia maximowicziana) and others [Barkalov, 2003].
DOI: 10.6073/pasta/fdf076717f53af35e72e1f62c11957be
title: Annual monitoring of high marsh plots dominated by Juncus and Borrichia at the GCE LTER from 2013 - 2020

description: Annual monitoring of high marsh plots dominated by Juncus and Borrichia. Plots were established at GCE sites 6 and 10 in 2013, and are monitored annually. The goal is to determine how annual variation in climate and other abiotic factors affects the vegetation composition.
DOI: 10.6073/pasta/cfbbdbbd5c26bc236f2a866d024317ea
title: Fall 2019 plant monitoring survey -- shoot height and flowering status of plants in permanent plots at GCE sampling sites 1-10

description: A quadrat survey was conducted in October 2019 to measure the species and size distribution of plants at 10 GCE LTER sampling sites. The quadrats were established as permanent plots at GCE sampling sites in October 2000 by placing wooden stakes at random locations across two nominal zones at each site, designated based on marsh structure (creekbank and high marsh). New plots were added each year as necessary to replace those lost due to catastrophic wrack disturbance or creek bank erosion. The plots were visually surveyed and the species, shoot height, and flowering status was recorded individually for each shoot over 10 cm in height present in each plot. Observations from plots exhibiting signs of disturbance were noted in a separate data set (GCE-GCEM-1801). This survey will be repeated annually to assess changes in plant distribution and biomass in relation to environmental changes documented by other GCE LTER monitoring efforts.
DOI: 10.6073/pasta/a0bcb6fd44342a6f2fe3ee10902e4a29
title: Fall 2019 plant monitoring survey -- biomass calculated from shoot height and flowering status of plants in permanent plots at GCE sampling sites 1-10

description: The biomass of plants surveyed in permanent plots at 10 GCE LTER sampling sites in October 2019 was estimated based on allometric relationships between biomass and shoot height and flowering status derived for each site, zone, and species in October 2002 and October 2008. Biomass was calculated for dominant species, including Spartina alterniflora, S. cynosuroides, Juncus roemerianus, and Zizaniopsis miliacea, as well as rarer species including Scirpus spp, Panicum spp. And Typha angustifolia. This data set is based on GCE plant monitoring survey data set PLT-GCEM-1911a, and allometric relationships were based on GCE data sets PLT-GCEM-0211b and PLT-GCEM-0812a.
DOI: 10.5283/epub.40422
title: Glucocorticoid Stimulation increases cardiac contractility by SGK1-dependent SOCE-activation in rat cardiac myocytes

description: Data of all Figures in "Glucocorticoid Stimulation increases cardiac contractility by SGK1-dependent SOCE-activation in rat cardiac myocytes"
DOI: 10.25919/4j4s-0q66
title: Parkes observations for project P1063 semester 2020APRS_26

description: We propose to use the Parkes UWL receiver for monitoring a small sub-set of the FAST-discovered pulsars, with special properties. The Parkes UWL system provides a unique capability for studying the pulsars over wide bandwidths. The observation proposed will provide significant insight into the special emission properties of these new discoveries and facilitate science.
DOI: 10.5283/epub.40186
title: Data archive of: It's more than just conflict: The functional role of congruency in the sequential control adaptation

description: Data Archive of "It's more than just conflict: The functional role of congruency in the sequential control adaptation"
DOI: 10.6073/pasta/959b5fd5db235bf46be953aabf7a6afb
title: Long-term Atmospheric, Soil and Water Sensor Data from the GCE-LTER Eddy Covariance Flux Tower on Sapelo Island, Georgia

description: Long-term measurements of various atmospheric, soil and water properties were made using electronic sensors attached to the GCE-LTER eddy covariance flux tower deployed in a Spartina alterniflora salt marsh on Sapelo Island, Georgia. Variables measured include air and water temperature, relative humidity, precipitation, wind speed and direction, soil temperature, water pressure and solar radiation components (i.e. incident and reflected photosynthetically available, total, long-wave and shortwave radiation). Measurements were logged at 5 minute intervals using multiple Campbell Scientific Instruments CR3000 data loggers, and then combined into a single monotonic time series data set. Quality control analyses were performed to remove values deemed invalid due to sensor failure or miscalibration and to assign Q/C qualifiers to values outside expected ranges or failing various sanity and quality checks of the data. Note that some measurements were spatially replicated with multiple sensors deployed in different micro-habitats (e.g. at the tower and in a nearby marsh platform or creek). Sensors were also added to the tower at various times after the initial installation, therefore some variables do not span the entire period of record. Measurements at this site are ongoing, and the data set will be updated annually to include additional observations.
DOI: 10.5283/epub.40168
title: Data Archive of "Auditory (dis-)fluency triggers sequential processing adjustments"
DOI: 10.6073/pasta/7daabf124e2a7a6bb90a53548c42bb9b
title: Long-term Meteorological Data from the GCE-LTER Eddy Covariance Flux Tower on Sapelo Island, Georgia

description: Long-term measurements of key meteorological variables were made using electronic sensors attached to the GCE-LTER eddy covariance flux tower deployed in a Spartina alterniflora salt marsh on Sapelo Island, Georgia. Variables measured include air temperature, relative humidity, precipitation, wind speed, wind direction, photosynthetically-available and total solar radiation. Measurements were logged at 5 minute intervals using a Campbell Scientific Instruments CR3000 data logger then re-scaled to 15 minute and daily interval data sets. Quality control analyses were performed to remove values deemed invalid due to sensor failure or miscalibration, and to assign Q/C qualifiers to values outside expected ranges or failing various sanity and quality checks of the data. Measurements began in 2013; however, the total solar pyranometer was not installed until 2018 and minimum and maximum 5 minute air temperature were not added until 2019 so not all variables span the complete period of record. Measurements are continuing at this site and this data set will be updated annually to include additional observations.
DOI: 10.6073/pasta/ac8f69e303066a2fd8375cb8e2c73782
title: Annual monitoring of mid-marsh grazing scar at eight GCE LTER sampling sites from 2017 - 2020

description: Grazing scar is investigated at eight sampling sites within the Georgia Coastal Ecosystems (GCE) LTER study area annually in July. Visual surveys were conducted along 8 2m by 10m transects randomly allocated within the mid-marsh zone at each site. Grazing scar are percent damage to a haphazardly chosen leaf along the transect. This survey was conducted as part of the GCE invertebrate monitoring program, and will be performed annually to assess long-term changes in relative species abundances across the GCE study area.
DOI: 10.5283/epub.40071
title: Data archive of "Prospect of performance-contingent reward distorts the action-relevance of predictive context information"

description: Raw data files with description / Rohdaten mit Beschreibung
DOI: 10.5281/zenodo.4290714
title: Supplementar Material for Munaretto et al. 2020b

description: Supplementar Material (Figure 8) for Munaretto et al. 2020. Se README.txt for further details.
DOI: 10.5281/zenodo.4290713
title: Supplementar Material for Munaretto et al. 2020b

description: Supplementar Material (Figure 8) for Munaretto et al. 2020. Se README.txt for further details.
DOI: 10.5281/zenodo.4274488
title: Comparative constructions in Tibeto-Burman languages of northeastern India

description: This dataset contains exhaustive data on comparative constructions in a sample of 37 Tibeto-Burman languages of northeastern India in csv format. The dataset includes a bib file of references used for the data and the paper `Comparative constructions in Suansu (Tibeto-Burman) from a typological perspective' (temporary title).
DOI: 10.5281/zenodo.4274487
title: Comparative constructions in Tibeto-Burman languages of northeastern India

description: This dataset contains exhaustive data on comparative constructions in a sample of 37 Tibeto-Burman languages of northeastern India in csv format. The dataset includes a bib file of references used for the data and the paper `Comparative constructions in Suansu (Tibeto-Burman) from a typological perspective' (temporary title).
DOI: 10.15468/pb4rr4
title: The species of Astymachus Howard (Hymenoptera: Encyrtidae) ı potentially important parasitoids of Aclerdidae (Hemiptera: Coccoidea) associated with grasses (Poaceae) ı with descriptions of three new species

description: This dataset contains the digitized treatments in Plazi based on the original journal article Noyes, John S., Higashiura, Yoshimitsu (2020): The species of Astymachus Howard (Hymenoptera: Encyrtidae) ı potentially important parasitoids of Aclerdidae (Hemiptera: Coccoidea) associated with grasses (Poaceae) ı with descriptions of three new species. Journal of Natural History 54 (9): 665-679, DOI: 10.1080/00222933.2020.1747654
DOI: 10.25318/1310071001-fra
title: Taux de mortalité, selon le groupe d'âge

description: Nombre de décès et taux de mortalité, selon le groupe d'âge, le sexe et le lieu de résidence, de 1991 à l'année la plus récente.
DOI: 10.18112/openneuro.ds003398.v1.0.0
title: Brain Network Mechanisms of Visual Shape Completion
DOI: 10.5517/ccdc.csd.cc24lj4f
title: CCDC 1984004: Experimental Crystal Structure Determination

description: Related Article: Tao-Bin He, Bing-Chao Yan, Kun Hu, Xiao-Nian Li, Han-Dong Sun, Pema-Tenzin Puno|2020|Bioorg.Chem.|105|104353|doi:10.1016/j.bioorg.2020.104353
DOI: 10.5517/ccdc.csd.cc24q8cj
title: CCDC 1987607: Experimental Crystal Structure Determination

description: Related Article: Tanguy Jousselin-Oba, Masashi Mamada, Atsushi Okazawa, Jérome Marrot, Takayuki Ishida, Chihaya Adachi, Abderrahim Yassar, Michel Frigoli|2020|Chemical Science|11|12194|doi:10.1039/D0SC04583G
DOI: 10.5517/ccdc.csd.cc24q8dk
title: CCDC 1987608: Experimental Crystal Structure Determination

description: Related Article: Tanguy Jousselin-Oba, Masashi Mamada, Atsushi Okazawa, Jérome Marrot, Takayuki Ishida, Chihaya Adachi, Abderrahim Yassar, Michel Frigoli|2020|Chemical Science|11|12194|doi:10.1039/D0SC04583G
DOI: 10.5517/ccdc.csd.cc24q8fl
title: CCDC 1987609: Experimental Crystal Structure Determination

description: Related Article: Tanguy Jousselin-Oba, Masashi Mamada, Atsushi Okazawa, Jérome Marrot, Takayuki Ishida, Chihaya Adachi, Abderrahim Yassar, Michel Frigoli|2020|Chemical Science|11|12194|doi:10.1039/D0SC04583G
DOI: 10.5517/ccdc.csd.cc24q8gm
title: CCDC 1987610: Experimental Crystal Structure Determination

description: Related Article: Tanguy Jousselin-Oba, Masashi Mamada, Atsushi Okazawa, Jérome Marrot, Takayuki Ishida, Chihaya Adachi, Abderrahim Yassar, Michel Frigoli|2020|Chemical Science|11|12194|doi:10.1039/D0SC04583G
DOI: 10.5517/ccdc.csd.cc24q8hn
title: CCDC 1987611: Experimental Crystal Structure Determination

description: Related Article: Tanguy Jousselin-Oba, Masashi Mamada, Atsushi Okazawa, Jérome Marrot, Takayuki Ishida, Chihaya Adachi, Abderrahim Yassar, Michel Frigoli|2020|Chemical Science|11|12194|doi:10.1039/D0SC04583G
DOI: 10.5517/ccdc.csd.cc2572q7
title: CCDC 2002808: Experimental Crystal Structure Determination

description: Related Article: Minghuey Shieh, Yu-Huei Li, Chia-Hsien Lin, Tzu-Yen Sun|2020|Inorg.Chem.|59|16073|doi:10.1021/acs.inorgchem.0c02820
DOI: 10.5517/ccdc.csd.cc2572tb
title: CCDC 2002811: Experimental Crystal Structure Determination

description: Related Article: Minghuey Shieh, Yu-Huei Li, Chia-Hsien Lin, Tzu-Yen Sun|2020|Inorg.Chem.|59|16073|doi:10.1021/acs.inorgchem.0c02820
DOI: 10.5517/ccdc.csd.cc2572vc
title: CCDC 2002812: Experimental Crystal Structure Determination

description: Related Article: Minghuey Shieh, Yu-Huei Li, Chia-Hsien Lin, Tzu-Yen Sun|2020|Inorg.Chem.|59|16073|doi:10.1021/acs.inorgchem.0c02820
DOI: 10.5517/ccdc.csd.cc2572wd
title: CCDC 2002813: Experimental Crystal Structure Determination

description: Related Article: Minghuey Shieh, Yu-Huei Li, Chia-Hsien Lin, Tzu-Yen Sun|2020|Inorg.Chem.|59|16073|doi:10.1021/acs.inorgchem.0c02820