cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.21824934
title: A Guaranteed Approximation Algorithm for Scheduling Fork-Joins with Communication Delay

description: This is the dataset for the experimental evaluation of the algorithms investigated in the paper: <br> <em>A Guaranteed Approximation Algorithm for Scheduling Fork-Joins with Communication Delay</em> <br> This includes the input task graphs (DAGs) in gxl format the raw data from the evaluation runs in .csv format the generated charts as pdfs
DOI: 10.6084/m9.figshare.22186750
title: Original data--Ultrasonic Visualization Technique for anatomical and functional analysises of sciatic nerve in rats

description: 坐骨神经发育参数; Rat lower extremity motor and sensory hypokinesis score
DOI: 10.6084/m9.figshare.22186750.v1
title: Original data--Ultrasonic Visualization Technique for anatomical and functional analysises of sciatic nerve in rats

description: 坐骨神经发育参数; Rat lower extremity motor and sensory hypokinesis score
DOI: 10.5281/zenodo.7646795
title: Data used in the paper titled 'Reconstructing and Nowcasting the Rainfall Field by a CML Network'

description: The dataset contains the CML, OTT disdrometer, rain gauge and radar data as well as some of the scripts used in the paper titled 'Reconstructing and Nowcasting the Rainfall Field by a CML Network'
DOI: 10.6084/m9.figshare.21747266
title: 16S.RawData.zip

description: 16Sr DNA Data of the article "Two treatment methods on <em>Ulva prolifera</em> bloom result in distinctively different ecological effects in coastal environment", doi: 10.3389/fmars.2023.1084519
DOI: 10.6084/m9.figshare.21747266.v1
title: 16S.RawData.zip

description: 16Sr DNA Data of the article "Two treatment methods on <em>Ulva prolifera</em> bloom result in distinctively different ecological effects in coastal environment", doi: 10.3389/fmars.2023.1084519
DOI: 10.6084/m9.figshare.22186774
title: Table S10

description: Table S10. Fasta of C. papaya primary CDSs assembled by LSTrAP-denovo
DOI: 10.6084/m9.figshare.22186774.v1
title: Table S10

description: Table S10. Fasta of C. papaya primary CDSs assembled by LSTrAP-denovo
DOI: 10.6084/m9.figshare.22011287
title: Data set.xlsx

description: The data set is the data obatined by the copropagating longitudinal acoustic wave experiment. Data include strain, strain rate， and the variation of nonlinear viscoelastic modulus in different trigger delay time of the experiment
DOI: 10.6084/m9.figshare.22011287.v3
title: Data set.xlsx

description: The data set is the data obatined by the copropagating longitudinal acoustic wave experiment. Data include strain, strain rate， and the variation of nonlinear viscoelastic modulus in different trigger delay time of the experiment
DOI: 10.6084/m9.figshare.22011287.v2
title: Data set.xlsx

description: The data set is the data obatined by the copropagating longitudinal acoustic wave experiment. Data include strain, strain rate， and the variation of nonlinear viscoelastic modulus in different trigger delay time of the experiment
DOI: 10.6084/m9.figshare.22151882
title: Search_bioportal.py output

description: Bioportal REST API result for the tool "Search class".
DOI: 10.6084/m9.figshare.22151882.v3
title: Search_bioportal.py output

description: Bioportal REST API result for the tool "Search class".
DOI: 10.6084/m9.figshare.22151882.v2
title: Search_bioportal.py output

description: Bioportal REST API result for the tool "Search class".
DOI: 10.6084/m9.figshare.20164529
title: Tectonic setting and mineralisation potential of the Cowley Ophiolite Complex, north Queensland

description: Northeast Queensland contains multiple slices of mafic–ultramafic units, strung out along regional faults that mark major tectonic boundaries. One such complex is the Cowley Ophiolite Complex, which is situated along the Russell-Mulgrave Fault. The Cowley Ophiolite Complex is a differentiated mafic–ultramafic complex composed of gabbro, chlorite schist, anthophyllite schist and serpentinite. We interpret that the alteration assemblages observed throughout the Cowley Ophiolite Complex reflect an amphibolite facies metasomatic overprint within a supra-subduction zone setting. This interpretation is consistent with geochemical discrimination of the gabbro, and chromite grains from the anthophyllite schist. The Cowley Ophiolite Complex records a higher metamorphic grade than the surrounding Hodgkinson Formation, and we interpret this to reflect the allochthonous structural setting of the complex, positioned along an ancient subduction margin. This subduction margin is represented today by the Russell-Mulgrave Fault. Metasomatism and emplacement of the complex probably pre-dated deposition of the Mossman Orogen’s active margin successions. Our interpretation of an active subduction complex, which pre-dated the formation of the Mossman Orogen, suggests that the Russell-Mulgrave Fault is a Paleozoic, continental suture zone. The Cowley Ophiolite Complex presents little indication of economic mineralisation; however, much of the complex remains unexplored. KEY POINTSThe Cowley Ophiolite Complex is a differentiated, mafic–ultramafic complex formed within a supra-subduction zone setting.Emplacement of the Cowley Ophiolite Complex, along the Russell-Mulgrave Fault, pre-dated the formation of the Hodgkinson Province.The Russell-Mulgrave Fault represents an ancient subduction margin, and is interpreted as a Paleozoic, continental suture zone. The Cowley Ophiolite Complex is a differentiated, mafic–ultramafic complex formed within a supra-subduction zone setting. Emplacement of the Cowley Ophiolite Complex, along the Russell-Mulgrave Fault, pre-dated the formation of the Hodgkinson Province. The Russell-Mulgrave Fault represents an ancient subduction margin, and is interpreted as a Paleozoic, continental suture zone.
DOI: 10.6084/m9.figshare.20164529.v1
title: Tectonic setting and mineralisation potential of the Cowley Ophiolite Complex, north Queensland

description: Northeast Queensland contains multiple slices of mafic–ultramafic units, strung out along regional faults that mark major tectonic boundaries. One such complex is the Cowley Ophiolite Complex, which is situated along the Russell-Mulgrave Fault. The Cowley Ophiolite Complex is a differentiated mafic–ultramafic complex composed of gabbro, chlorite schist, anthophyllite schist and serpentinite. We interpret that the alteration assemblages observed throughout the Cowley Ophiolite Complex reflect an amphibolite facies metasomatic overprint within a supra-subduction zone setting. This interpretation is consistent with geochemical discrimination of the gabbro, and chromite grains from the anthophyllite schist. The Cowley Ophiolite Complex records a higher metamorphic grade than the surrounding Hodgkinson Formation, and we interpret this to reflect the allochthonous structural setting of the complex, positioned along an ancient subduction margin. This subduction margin is represented today by the Russell-Mulgrave Fault. Metasomatism and emplacement of the complex probably pre-dated deposition of the Mossman Orogen’s active margin successions. Our interpretation of an active subduction complex, which pre-dated the formation of the Mossman Orogen, suggests that the Russell-Mulgrave Fault is a Paleozoic, continental suture zone. The Cowley Ophiolite Complex presents little indication of economic mineralisation; however, much of the complex remains unexplored. KEY POINTSThe Cowley Ophiolite Complex is a differentiated, mafic–ultramafic complex formed within a supra-subduction zone setting.Emplacement of the Cowley Ophiolite Complex, along the Russell-Mulgrave Fault, pre-dated the formation of the Hodgkinson Province.The Russell-Mulgrave Fault represents an ancient subduction margin, and is interpreted as a Paleozoic, continental suture zone. The Cowley Ophiolite Complex is a differentiated, mafic–ultramafic complex formed within a supra-subduction zone setting. Emplacement of the Cowley Ophiolite Complex, along the Russell-Mulgrave Fault, pre-dated the formation of the Hodgkinson Province. The Russell-Mulgrave Fault represents an ancient subduction margin, and is interpreted as a Paleozoic, continental suture zone.
DOI: 10.5281/zenodo.7679379
title: Data for manuscript "Individually Addressable and Spectrally Programmable Artificial Atoms in Silicon Photonics"

description: Data in scientific manuscript published in preprint: https://arxiv.org/abs/2202.02342
DOI: 10.5281/zenodo.7679378
title: Data for manuscript "Individually Addressable and Spectrally Programmable Artificial Atoms in Silicon Photonics"

description: Data in scientific manuscript published in preprint: https://arxiv.org/abs/2202.02342
DOI: 10.6084/m9.figshare.22186816
title: Drone_Drift_Final_Dataset.xlsx

description: The genotypes of colonies used in the linked study
DOI: 10.6084/m9.figshare.22186816.v1
title: Drone_Drift_Final_Dataset.xlsx

description: The genotypes of colonies used in the linked study
DOI: 10.5519/qd.fhg6slft
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (5467008 records)
DOI: 10.25442/hku.22181275
title: Supporting data for "2D/Quasi-2D Dion-Jacobson Perovskites for Light-Emitting Applications"

description: The dataset includes all data for the thesis chapters. one part is for DJ phase perovskite-based blue light-emitting diodes (PeLEDs). The raw data are the characterization of DJ phase lead-based perovskite films and the corresponding LED devices with different hole transport layers. The second part reveals the effect of ambient exposure on the optical properties of tin-based perovskites. The last part is the characterization data for tin-based perovskites with improved ambient and thermal stability with additives incorporated or added. <br> <br> <br>
DOI: 10.25442/hku.22181275.v1
title: Supporting data for "2D/Quasi-2D Dion-Jacobson Perovskites for Light-Emitting Applications"

description: The dataset includes all data for the thesis chapters. one part is for DJ phase perovskite-based blue light-emitting diodes (PeLEDs). The raw data are the characterization of DJ phase lead-based perovskite films and the corresponding LED devices with different hole transport layers. The second part reveals the effect of ambient exposure on the optical properties of tin-based perovskites. The last part is the characterization data for tin-based perovskites with improved ambient and thermal stability with additives incorporated or added. <br> <br> <br>
DOI: 10.6084/m9.figshare.17708030.v4
title: data_PD_46_BBS_revised manuscript.xlsx

description: posture data for human balance
DOI: 10.25984/1872470
title: Closed Loop Pumped Storage Hydropower Resource Assessment of the United States

description: The data includes a geospatial and spreadsheet representation of a resource analysis for closed loop pumped storage systems across the Continental United States, Alaska, Hawaii, and Puerto Rico. The data includes energy storage potential, water volume, distance from source to storage, hydraulic head, dollars per kilowatt of storage, and transmission spurline cost for each pumped storage hydropower (PHS) reservoir. Each reservoir represented in this dataset is represented on potential 10 hour storage duration PSH system comprised of two reservoirs. Units of measure are laid out in the dataset. Pumped storage hydropower (PSH) represents the bulk of the United States' current energy storage capacity: 23 gigawatts (GW) of the 24 GW national total (Denholm et al. 2021). This capacity was largely built between 1960 and 1990. PSH is a mature and proven method of energy storage with competitive round-trip efficiency and long life spans. These qualities make PSH a very attractive potential solution to energy storage needs, particularly for longer-duration storage (8 hours or more); such storage will be crucial to bridge gaps in electricity production as variable wind and solar production continue to comprise an ever-larger portion of the United States' energy portfolio. This study seeks to better understand the technical potential for PSH development in the United States by developing a national-scale resource assessment for closed-loop PSH. For more information, please refer to the Closed Loop Pumped Storage Hydropower Resource Assessment for the United States linked in the resources.
DOI: 10.25582/data.2022-03.2445532/1921522
title: Data for EMSL Project 51259 from March 2022
DOI: 10.25582/data.2022-03.2445134/1930770
title: Data for EMSL Project 51582 from March 2022
DOI: 10.25582/data.2022-03.2445260/1932652
title: Data for EMSL Project 51644 from March 2022
DOI: 10.25582/data.2022-03.2445156/1933045
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2445549/1933048
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2445132/1934036
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2445200/1934037
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2445551/1934079
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2445024/1934099
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2445036/1934113
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2445088/1934116
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2445125/1934117
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2445102/1934159
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2445448/1934187
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2445222/1934202
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2445042/1934215
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2445223/1934336
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2445540/1935248
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2445207/1935263
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2445530/1935360
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2445439/1935401
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2445488/1935413
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2445004/1935425
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2445547/1935440
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2445560/1935447
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2445198/1935509
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2445145/1935512
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2445211/1935550
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2445159/1935551
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2445369/1935557
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2445568/1935609
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2445245/1936031
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2445187/1936057
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2445533/1936068
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2445191/1936075
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2445566/1936109
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2445217/1936121
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2445194/1936125
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2445179/1936212
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2445387/1936250
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2444897/1936252
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2445178/1936297
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2445233/1936311
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2445028/1936375
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2445506/1936426
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2445143/1936428
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2445226/1937215
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2445386/1937242
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2445408/1937249
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2445164/1937265
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2445240/1937267
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2445455/1937269
title: Data for EMSL Project 51132 from March 2022
DOI: 10.5281/zenodo.7683361
title: Transcriptome profiling of human monocytes from accute phase and convalescent patients infected with Plasmodium vivax malaria

description: RNA sequencing raw data of monocytes obtained from five patients in acute phase of <em>Plasmodium vivax </em>malaria and 45 days after treatment. Individuals from Rondônia (Brazil) were between 18 and 60 years and attended to the exclusion criteria: chronic inflammatory or infectious diseases, pregnancy, and breastfeeding. Diagnostic of malaria by clinical symptoms and thick blood smear was also confirmed by qPCR. According to the recommended protocol of the Brazilian Ministry of Health patients were treated with chloroquine associated to primaquine. Protocols used were approved by the Ethical Committees on Human Experimentation from Instituto Rene ́ Rachou, Fiocruz, and National Ethical Council (CAAE: 59902816.7.0000.5091). Sequencing was performed in a NextSeq 500 system using the NextSeq 500/550 High Output Kit v2.5 for 75 cycles (both from Illumina). Before sequencing total mRNA samples were prepared using TruSeq Stranded mRNA Kit (Illumina) according to the manufacturer’s protocol. Files are in FASTQ format, just as they were downloaded from Illumina's cloud environment (BaseSpace) right after sequencing. Files are identified by patient number (1 to 5) and health condition: acute phase of the disease or convalescent (45 days after treatment).
DOI: 10.5281/zenodo.7683360
title: Transcriptome profiling of human monocytes from accute phase and convalescent patients infected with Plasmodium vivax malaria

description: RNA sequencing raw data of monocytes obtained from five patients in acute phase of <em>Plasmodium vivax </em>malaria and 45 days after treatment. Individuals from Rondônia (Brazil) were between 18 and 60 years and attended to the exclusion criteria: chronic inflammatory or infectious diseases, pregnancy, and breastfeeding. Diagnostic of malaria by clinical symptoms and thick blood smear was also confirmed by qPCR. According to the recommended protocol of the Brazilian Ministry of Health patients were treated with chloroquine associated to primaquine. Protocols used were approved by the Ethical Committees on Human Experimentation from Instituto Rene ́ Rachou, Fiocruz, and National Ethical Council (CAAE: 59902816.7.0000.5091). Sequencing was performed in a NextSeq 500 system using the NextSeq 500/550 High Output Kit v2.5 for 75 cycles (both from Illumina). Before sequencing total mRNA samples were prepared using TruSeq Stranded mRNA Kit (Illumina) according to the manufacturer’s protocol. Files are in FASTQ format, just as they were downloaded from Illumina's cloud environment (BaseSpace) right after sequencing. Files are identified by patient number (1 to 5) and health condition: acute phase of the disease or convalescent (45 days after treatment).
DOI: 10.25582/data.2022-03.2445090/1937383
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2445085/1937404
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2444936/1937449
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2445165/1937473
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2445382/1937478
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2445171/1937510
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2445499/1937588
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2444999/1937595
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2445236/1937617
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2445397/1937964
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2444890/1937983
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2445176/1937985
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2445154/1937997
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2445038/1938001
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2445204/1938031
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2445084/1938076
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2445562/1938081
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2445558/1938103
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2445378/1938113
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2445158/1938125
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2445195/1938157
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2445121/1938159
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2445186/1938167
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2445219/1938180
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2445477/1938193
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2445521/1938222
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2445235/1938305
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2445089/1938385
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2445135/1939134
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2445385/1939151
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2445170/1939165
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2445429/1939178
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2445147/1939189
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2445209/1939193
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2444892/1939232
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2445239/1939251
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2445172/1939255
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2445130/1939261
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2445122/1939282
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2445190/1939340
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2445192/1939357
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2445148/1939371
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2445374/1939420
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2445155/1939423
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2445524/1939424
title: Data for EMSL Project 51132 from March 2022