cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.5560091
title: CoVaxxy Tweet IDs data set

description: A collection of Tweet IDs related to Covid-19 Vaccines, gathered from Twitter since Jan 4, 2021. Please see https://arxiv.org/abs/2101.07694 for more information.
DOI: 10.5281/zenodo.5560122
title: Dual Chromatin Repressors Regulate Hippocampal Development

description: Abstract: The cell fate transition from radial glial-like (RGL) cells to neurons and astrocytes is crucial for development and pathological conditions. Two chromatin repressors- the enhancer of zeste homolog 2 and suppressor of variegation 4-20 homolog, are highly associated with RGL cells in the hippocampus, implicating hippocampal cell fate commitment underlying these epigenetic regulations. Using a double knock-out mouse model, we demonstrated that loss of both chromatin repressors in the RGL population leads to deficits in hippocampal development. At the molecular level, single nuclei RNA-Seq revealed differential gene expression and provided mechanistic insight that dual chromatin repressors are critical for the maintenance of cycling cells in the dentate gyrus as well as the balance of cell trajectories between neuronal and astroglial lineages. Datasets: NUC: cDNA fraction from wild-type and double knock-out nuclei Raw data: NUC_S1_R1_001.fastq.gz, NUC_S1_R2_001.fastq.gz Processed data: NUC.bam.dge.tsv.gz, NUC_combined_dge.tsv.gz, NUC_flowdata.tsv.gz IDX: nanowell index fraction Raw data: IDX_S1_L001_R1_001.fastq.gz, IDX_S1_L001_R2_001.fastq.gz Processed data: IDX_features.tsv.gz, IDX_matrix.mtx.gz, IDX_barcodes.tsv.gz, IDX_count_matrix_umis.tsv.gz
DOI: 10.5281/zenodo.5560121
title: Dual Chromatin Repressors Regulate Hippocampal Development

description: Abstract: The cell fate transition from radial glial-like (RGL) cells to neurons and astrocytes is crucial for development and pathological conditions. Two chromatin repressors- the enhancer of zeste homolog 2 and suppressor of variegation 4-20 homolog, are highly associated with RGL cells in the hippocampus, implicating hippocampal cell fate commitment underlying these epigenetic regulations. Using a double knock-out mouse model, we demonstrated that loss of both chromatin repressors in the RGL population leads to deficits in hippocampal development. At the molecular level, single nuclei RNA-Seq revealed differential gene expression and provided mechanistic insight that dual chromatin repressors are critical for the maintenance of cycling cells in the dentate gyrus as well as the balance of cell trajectories between neuronal and astroglial lineages. Datasets: NUC: cDNA fraction from wild-type and double knock-out nuclei Raw data: NUC_S1_R1_001.fastq.gz, NUC_S1_R2_001.fastq.gz Processed data: NUC.bam.dge.tsv.gz, NUC_combined_dge.tsv.gz, NUC_flowdata.tsv.gz IDX: nanowell index fraction Raw data: IDX_S1_L001_R1_001.fastq.gz, IDX_S1_L001_R2_001.fastq.gz Processed data: IDX_features.tsv.gz, IDX_matrix.mtx.gz, IDX_barcodes.tsv.gz, IDX_count_matrix_umis.tsv.gz
DOI: 10.6084/m9.figshare.16780738
title: BIOL3250 data.xlsx

description: pilot bird watching experiment.
DOI: 10.6084/m9.figshare.16780738.v2
title: BIOL3250 data.xlsx

description: pilot bird watching experiment.
DOI: 10.6084/m9.figshare.16780738.v1
title: BIOL3250 data.xlsx

description: pilot bird watching experiment.
DOI: 10.26188/16780672
title: Tree-kangaroo survey data

description: Survey data from project assessing thermal imaging as a survey tool for Lumholtz's tree-kangaroo, comparing the use of a thermal scope to traditional spotlighting and daytime surveys.
DOI: 10.6084/m9.figshare.14619177
title: Replication package

description: <b>Mithra's Replication Package</b><br>In this replication package, we provided <i>Mithra</i> and <i>AR-SI</i>'s implementations, the dataset of 24 bugs on <i>ArduPilot</i> v3.6.9 that we used for evaluation, and 2500 traces of unlabeled training data and 466 evaluation traces (233 erroneous and 233 correct traces). In addition, we provide the dataset of 153 bugs on <i>F1tenth</i> that we used for evaluation, and 75 traces of unlabeled training data and 522 evaluation traces (261 erroneous and 261 correct traces).<br>
DOI: 10.26182/dbe0-mc39
title: Nalanthamala psidii supplementary data
DOI: 10.5281/zenodo.5560142
title: Brittle-ductile transition depth dataset

description: Dataset for paper: Byrne et al. (2021) The Effects of Planetary and Stellar Parameters on Brittle Lithospheric Thickness, <em>J. Geophys. Res. Planets</em> Dataset consists of 16 data files. Each data file gives brittle-ductile transition depth as a function of surface gravity, surface temperature, mantle temperature, and lithosphere thickness. Calculations were performed with a MATLAB code, available at Foley (2021) Brittle-ductile transition code. Zenodo. https://doi.org/10.5281/zenodo.5560138. The file format is as follows-Column1: surface gravity in m/s<sup>2</sup>; Column 2: surface temperature in K; Column 3: effective cooling age of the lithosphere in Myrs; Column 4: mantle temperature in K; Column 5: surface heat flux in mW/m<sup>2</sup>; Column 6: Total lithosphere thickness in km; Column 7: Brittle-ductile transition depth in km File names denote additional parameters. All file names give as lowTplas_dry_... assume pore pressure on faults is 0, while files with names lowTplas_wet_... assume hydrostatic pore pressure. The values of the parameters p & q are given in the file names as _p12q2_ for models where p=0.5 and q=2, and _p1q2_ for models where p=1 and q=2. Finally, the assumed strain rate is appended at the end of the file names as _e1e-13 for strain rate = 10<sup>-</sup><sup>13</sup> 1/s, _e1e-14 for strain rate = 10<sup>-</sup><sup>14</sup> 1/s, _e1e-15 for strain rate = 10<sup>-</sup><sup>15</sup> 1/s, and _e1e-16 for strain rate = 10<sup>-</sup><sup>16</sup> 1/s.
DOI: 10.5281/zenodo.5560141
title: Brittle-ductile transition depth dataset

description: Dataset for paper: Byrne et al. (2021) The Effects of Planetary and Stellar Parameters on Brittle Lithospheric Thickness, <em>J. Geophys. Res. Planets</em> Dataset consists of 16 data files. Each data file gives brittle-ductile transition depth as a function of surface gravity, surface temperature, mantle temperature, and lithosphere thickness. Calculations were performed with a MATLAB code, available at Foley (2021) Brittle-ductile transition code. Zenodo. https://doi.org/10.5281/zenodo.5560138. The file format is as follows-Column1: surface gravity in m/s<sup>2</sup>; Column 2: surface temperature in K; Column 3: effective cooling age of the lithosphere in Myrs; Column 4: mantle temperature in K; Column 5: surface heat flux in mW/m<sup>2</sup>; Column 6: Total lithosphere thickness in km; Column 7: Brittle-ductile transition depth in km File names denote additional parameters. All file names give as lowTplas_dry_... assume pore pressure on faults is 0, while files with names lowTplas_wet_... assume hydrostatic pore pressure. The values of the parameters p & q are given in the file names as _p12q2_ for models where p=0.5 and q=2, and _p1q2_ for models where p=1 and q=2. Finally, the assumed strain rate is appended at the end of the file names as _e1e-13 for strain rate = 10<sup>-</sup><sup>13</sup> 1/s, _e1e-14 for strain rate = 10<sup>-</sup><sup>14</sup> 1/s, _e1e-15 for strain rate = 10<sup>-</sup><sup>15</sup> 1/s, and _e1e-16 for strain rate = 10<sup>-</sup><sup>16</sup> 1/s.
DOI: 10.25442/hku.16689544
title: Supporting data for "Melatonin enhances cognition and hippocampal neurogenesis in animal models of Alzheimer's disease and retinal degeneration"

description: Alzheimer’s disease (AD) is a neurodegenerative disorder, and it is mainly characterized by the presence of amyloid-beta plaques and neurofibrillary tangles. These hallmark pathologies of AD promote impairment of hippocampal neurogenesis, neuronal loss, and subsequently lead to neurocognitive deficits as well as neuropsychiatric problems. Many empirical studies demonstrated that AD shares similar pathologies and mechanisms with retinal degeneration, a form of neurodegeneration leading to blindness. Accumulating evidence has also indicated the presence of neurocognitive impairments and neuropsychiatry symptoms in retinal degeneration, suggesting potential alterations of hippocampal neurogenesis and neuronal survivability which are similar to AD. Despite much research on treatments for both diseases, there is still no effective treatment available. The endogenous hormone melatonin has been found to have therapeutic effects against the AD pathology and the photoreceptor degeneration in retinal degeneration. However, no research has been conducted focusing on the neurogenesis aspect of melatonin in ameliorating behavioral alterations in both diseases. In this thesis, I have investigated the therapeutic potential of melatonin on hippocampal neurogenesis in AD and retinal degeneration. My results revealed that melatonin could attenuate the impairment of hippocampal neurogenesis and improve behavioral deficits in an animal model of AD. The findings showed that the improvement of behavioral deficits in AD was mediated through the reduction of Aβ plaque burden and enhancement of hippocampal neurogenesis. Next, I have shown the neuroprotective effects of melatonin on visual-behavioral deficits and hippocampal neurogenesis in an animal model of retinal degeneration. I have found that melatonin could ameliorate the loss of retinal cells and promote visual cortical plasticity, thereby improve the visual function. It also enhanced hippocampal neurogenesis to rescue the loss of mature, as well as immature neurons in retinal degeneration. Furthermore, these neuroprotective effects of melatonin maintained the functional interactions and integrity of the retina, visual cortex, and hippocampus by improving both the visual and behavioral deficits in retinal degeneration. Overall, my thesis presents a novel aspect of melatonin on neuroprotective functions and hippocampal neurogenesis in both the AD and retinal degeneration to rescue behavioral deficits in animal models.
DOI: 10.25442/hku.16689544.v1
title: Supporting data for "Melatonin enhances cognition and hippocampal neurogenesis in animal models of Alzheimer's disease and retinal degeneration"

description: Alzheimer’s disease (AD) is a neurodegenerative disorder, and it is mainly characterized by the presence of amyloid-beta plaques and neurofibrillary tangles. These hallmark pathologies of AD promote impairment of hippocampal neurogenesis, neuronal loss, and subsequently lead to neurocognitive deficits as well as neuropsychiatric problems. Many empirical studies demonstrated that AD shares similar pathologies and mechanisms with retinal degeneration, a form of neurodegeneration leading to blindness. Accumulating evidence has also indicated the presence of neurocognitive impairments and neuropsychiatry symptoms in retinal degeneration, suggesting potential alterations of hippocampal neurogenesis and neuronal survivability which are similar to AD. Despite much research on treatments for both diseases, there is still no effective treatment available. The endogenous hormone melatonin has been found to have therapeutic effects against the AD pathology and the photoreceptor degeneration in retinal degeneration. However, no research has been conducted focusing on the neurogenesis aspect of melatonin in ameliorating behavioral alterations in both diseases. In this thesis, I have investigated the therapeutic potential of melatonin on hippocampal neurogenesis in AD and retinal degeneration. My results revealed that melatonin could attenuate the impairment of hippocampal neurogenesis and improve behavioral deficits in an animal model of AD. The findings showed that the improvement of behavioral deficits in AD was mediated through the reduction of Aβ plaque burden and enhancement of hippocampal neurogenesis. Next, I have shown the neuroprotective effects of melatonin on visual-behavioral deficits and hippocampal neurogenesis in an animal model of retinal degeneration. I have found that melatonin could ameliorate the loss of retinal cells and promote visual cortical plasticity, thereby improve the visual function. It also enhanced hippocampal neurogenesis to rescue the loss of mature, as well as immature neurons in retinal degeneration. Furthermore, these neuroprotective effects of melatonin maintained the functional interactions and integrity of the retina, visual cortex, and hippocampus by improving both the visual and behavioral deficits in retinal degeneration. Overall, my thesis presents a novel aspect of melatonin on neuroprotective functions and hippocampal neurogenesis in both the AD and retinal degeneration to rescue behavioral deficits in animal models.
DOI: 10.6084/m9.figshare.16780483.v1
title: Processed_QC_approved_normalised_expr_GSE21034

description: Processed, QC-approved and normalised (gcrma, GcRmaBackgroundCorrection) expression data from dataset GSE21034 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE21034) used in "The Transcriptomic Landscape of Prostate Cancer Development and Progression: An Integrative Analysis" study (https://pubmed.ncbi.nlm.nih.gov/33477882/)<br>
DOI: 10.5517/ccdc.csd.cc23gvjz
title: CCDC 1950691: Experimental Crystal Structure Determination

description: Related Article: Linhong Zuo, Pengchen Ma, Teng Liu, Xiangyang Chen, Robert H. Lavroff, Wei-Peng Chen, K. N. Houk, Wusheng Guo|2021|Org.Lett.|23|7330|doi:10.1021/acs.orglett.1c02401
DOI: 10.5517/ccdc.csd.cc23gvk0
title: CCDC 1950692: Experimental Crystal Structure Determination

description: Related Article: Linhong Zuo, Pengchen Ma, Teng Liu, Xiangyang Chen, Robert H. Lavroff, Wei-Peng Chen, K. N. Houk, Wusheng Guo|2021|Org.Lett.|23|7330|doi:10.1021/acs.orglett.1c02401
DOI: 10.5517/ccdc.csd.cc24xr50
title: CCDC 1993832: Experimental Crystal Structure Determination

description: Related Article: Juan Hua, Yan-Chun Liu, Shi-Hong Luo, Yan Liu, Chao-Jiang Xiao, Xiao-Nian Li, Sheng-Hong Li|2021|Org.Lett.|23|7462|doi:10.1021/acs.orglett.1c02673
DOI: 10.5517/ccdc.csd.cc211m7z
title: CCDC 1878390: Experimental Crystal Structure Determination

description: Related Article: Yisi Yang, Libo Li, Rui-Biao Lin, Yingxiang Ye, Zizhu Yao, Ling Yang, Fahui Xiang, Shimin Chen, Zhangjing Zhang, Shengchang Xiang, Banglin Chen |2021|Nature Chemistry|13|933|doi:10.1038/s41557-021-00740-z
DOI: 10.5517/ccdc.csd.cc20tt3s
title: CCDC 1871845: Experimental Crystal Structure Determination

description: Related Article: Yisi Yang, Libo Li, Rui-Biao Lin, Yingxiang Ye, Zizhu Yao, Ling Yang, Fahui Xiang, Shimin Chen, Zhangjing Zhang, Shengchang Xiang, Banglin Chen |2021|Nature Chemistry|13|933|doi:10.1038/s41557-021-00740-z
DOI: 10.5517/ccdc.csd.cc2369xk
title: CCDC 1942488: Experimental Crystal Structure Determination

description: Related Article: Yisi Yang, Libo Li, Rui-Biao Lin, Yingxiang Ye, Zizhu Yao, Ling Yang, Fahui Xiang, Shimin Chen, Zhangjing Zhang, Shengchang Xiang, Banglin Chen |2021|Nature Chemistry|13|933|doi:10.1038/s41557-021-00740-z
DOI: 10.5517/ccdc.csd.cc2739sg
title: CCDC 2058765: Experimental Crystal Structure Determination

description: Related Article: Júlia Viñas-Lóbez, Guillaume Levitre, Adiran de Aguirre, Celine Besnard, Amalia I. Poblador-Bahamonde, Jerome Lacour|2021|ACS Org. Inorg. Au|1|11|doi:10.1021/acsorginorgau.1c00006
DOI: 10.6084/m9.figshare.16780851
title: Additional file 2 of Exploring health in the UK Biobank: associations with sociodemographic characteristics, psychosocial factors, lifestyle and environmental exposures

description: Additional file 2. Health status classification.
DOI: 10.6084/m9.figshare.16780851.v1
title: Additional file 2 of Exploring health in the UK Biobank: associations with sociodemographic characteristics, psychosocial factors, lifestyle and environmental exposures

description: Additional file 2. Health status classification.
DOI: 10.6084/m9.figshare.16780905
title: Additional file 1 of MicroRNAs in oral fluids (saliva and gingival crevicular fluid) as biomarkers in orthodontics: systematic review and integrated bioinformatic analysis

description: Additional file 1.
DOI: 10.6084/m9.figshare.16780905.v1
title: Additional file 1 of MicroRNAs in oral fluids (saliva and gingival crevicular fluid) as biomarkers in orthodontics: systematic review and integrated bioinformatic analysis

description: Additional file 1.
DOI: 10.6084/m9.figshare.16780914
title: Additional file 1 of Distribution of crystalloid fluid infused during onset of anesthesia-induced hypotension: a retrospective population kinetic analysis

description: Additional file 1.
DOI: 10.6084/m9.figshare.16780914.v1
title: Additional file 1 of Distribution of crystalloid fluid infused during onset of anesthesia-induced hypotension: a retrospective population kinetic analysis

description: Additional file 1.
DOI: 10.6084/m9.figshare.16780932
title: Additional file 1 of Determining diagnosis date of diabetes using structured electronic health record (EHR) data: the SEARCH for diabetes in youth study

description: Additional file 1.
DOI: 10.6084/m9.figshare.16780932.v1
title: Additional file 1 of Determining diagnosis date of diabetes using structured electronic health record (EHR) data: the SEARCH for diabetes in youth study

description: Additional file 1.
DOI: 10.21227/s994-re03
title: Raw datasets for model training, validation, and testing

description: -NIL-
DOI: 10.25959/r6sn-s920
title: Lachlan Orogen GPlates model Aug2021

description: Model data and GPlates project file for Cambrian-Devonian reconstruction of the Lachlan Orogen integrated into a global model (Wright et al., 2013 - doi:10.5194/bg-10-1529-2013). All spatial datasets are provided in .gpml format and rotation files in .grot format.
DOI: 10.6084/m9.figshare.16780309
title: Remote Sensing-based Field-Level Open Biomass Burning NOx Emission Inventory of China

description: Accurate estimation of nitrogen oxide (NOx) emissions from biomass combustion is of great significance for ecological protection and climate change prediction in China. In this study, an emission factor (EF) weighting strategy considering the prior probability of the elaborate crop distribution within the fire pixels was proposed. under the assumption of Gaussian distribution of diurnal cycle of FRP (fire radiative power), we estimate the emission inventory of NOx from biomass combustion on field-level of China. To validate the assumptions of Gaussian distribution of diurnal cycle of FRP, we compared our results with the Himawari-8 satellite observations, the Pearson correlation coefficient reached 0.65. Meanwhile, in order to evaluate the emission inventory, we compared our estimation with global fire emission database (GFED), in-situ observations and ozone monitoring instrument (OMI) product, the result shows that our emission inventory with high spatiotemporal resolution agreed well with GFED database and in-situ observations in general. In conclusion, the method proposed in this study can compensate the shortage of previous studies on lacking elaborate landcovers, especially crop types while estimating the emissions, which is of great significance for countermeasure of controlling agricultural-source air pollution
DOI: 10.4225/15/58169d06ee8fc
title: Interactive maps of Kerguelen Plateau demersal fish assemblages
DOI: 10.6084/m9.figshare.16780990.v1
title: data.xls

description: Application of Entropy-DEMATEL-VIKOR multi-criterion decision-making method in public charging infrastructure
DOI: 10.6084/m9.figshare.16780990
title: data.xls

description: Application of Entropy-DEMATEL-VIKOR multi-criterion decision-making method in public charging infrastructure
DOI: 10.6084/m9.figshare.16780990.v3
title: data.xls

description: Application of Entropy-DEMATEL-VIKOR multi-criterion decision-making method in public charging infrastructure
DOI: 10.6084/m9.figshare.16780990.v2
title: data.xls

description: Application of Entropy-DEMATEL-VIKOR multi-criterion decision-making method in public charging infrastructure
DOI: 10.5517/ccdc.csd.cc276nfk
title: CCDC 2061978: Experimental Crystal Structure Determination

description: Related Article: Chun-Xiang Guo, Kai Schwedtmann, Jannis Fidelius, Felix Hennersdorf, Arne Dickschat, Antonio Bauzá, Antonio Frontera, Jan J. Weigand|2021|Chem.-Eur.J.|27|13709|doi:10.1002/chem.202102382
DOI: 10.5517/ccdc.csd.cc276nhm
title: CCDC 2061980: Experimental Crystal Structure Determination

description: Related Article: Chun-Xiang Guo, Kai Schwedtmann, Jannis Fidelius, Felix Hennersdorf, Arne Dickschat, Antonio Bauzá, Antonio Frontera, Jan J. Weigand|2021|Chem.-Eur.J.|27|13709|doi:10.1002/chem.202102382
DOI: 10.5517/ccdc.csd.cc27zmgb
title: CCDC 2085012: Experimental Crystal Structure Determination

description: Related Article: Vakhid A. Mamedov, Vera L. Mamedova, Zheng-Wang Qu, Hui Zhu, Venera R. Galimullina, Dmitry E. Korshin, Gul’naz Z. Khikmatova, Igor A. Litvinov, Shamil K. Latypov, Oleg G. Sinyashin, Stefan Grimme|2021|J.Org.Chem.|86|13514|doi:10.1021/acs.joc.1c01592
DOI: 10.5517/ccdc.csd.cc27zmhc
title: CCDC 2085013: Experimental Crystal Structure Determination

description: Related Article: Vakhid A. Mamedov, Vera L. Mamedova, Zheng-Wang Qu, Hui Zhu, Venera R. Galimullina, Dmitry E. Korshin, Gul’naz Z. Khikmatova, Igor A. Litvinov, Shamil K. Latypov, Oleg G. Sinyashin, Stefan Grimme|2021|J.Org.Chem.|86|13514|doi:10.1021/acs.joc.1c01592
DOI: 10.5517/ccdc.csd.cc2835m6
title: CCDC 2088427: Experimental Crystal Structure Determination

description: Related Article: Vakhid A. Mamedov, Vera L. Mamedova, Zheng-Wang Qu, Hui Zhu, Venera R. Galimullina, Dmitry E. Korshin, Gul’naz Z. Khikmatova, Igor A. Litvinov, Shamil K. Latypov, Oleg G. Sinyashin, Stefan Grimme|2021|J.Org.Chem.|86|13514|doi:10.1021/acs.joc.1c01592
DOI: 10.5517/ccdc.csd.cc288hy0
title: CCDC 2093552: Experimental Crystal Structure Determination

description: Related Article: Caifang Han, Xiangqing Feng, Haifeng Du|2021|Org.Lett.|23|7325|doi:10.1021/acs.orglett.1c02361
DOI: 10.5517/ccdc.csd.cc288j69
title: CCDC 2093560: Experimental Crystal Structure Determination

description: Related Article: Akash Bandu Jamdade, Dashrat Vishambar Sutar, Girish Singh Bisht, Boopathy Gnanaprakasam|2021|Org.Lett.|23|7386|doi:10.1021/acs.orglett.1c02569
DOI: 10.5517/ccdc.csd.cc288ny5
title: CCDC 2093707: Experimental Crystal Structure Determination

description: Related Article: Akash Bandu Jamdade, Dashrat Vishambar Sutar, Girish Singh Bisht, Boopathy Gnanaprakasam|2021|Org.Lett.|23|7386|doi:10.1021/acs.orglett.1c02569
DOI: 10.5517/ccdc.csd.cc28j01w
title: CCDC 2100747: Experimental Crystal Structure Determination

description: Related Article: Bo-Sheng Zhang, Fan Wang, Xue-Ya Gou, Ying-Hui Yang, Wan-Yuan Jia, Yong-Min Liang, Xi-Cun Wang, Yuke Li, Zheng-Jun Quan|2021|Org.Lett.|23|7518|doi:10.1021/acs.orglett.1c02715
DOI: 10.34740/kaggle/dsv/2694185
title: BART Ridership
DOI: 10.6084/m9.figshare.16781380.v1
title: Combined_expr_Affy_HuEx1ST

description: Combined expression data derived from Affymetrix Human Exon 1.0 ST platform used in "The Transcriptomic Landscape of Prostate Cancer Development and Progression: An Integrative Analysis" study. Data were combined using our integrative pipeline available at https://github.com/JMarzec/transcriptomics_data_integration.
DOI: 10.6084/m9.figshare.16781257.v1
title: Combined_expr_RNA-seq

description: Combined expression data derived from RNA-seq platforms used in "The Transcriptomic Landscape of Prostate Cancer Development and Progression: An Integrative Analysis" study. Data were combined using our integrative pipeline available at https://github.com/JMarzec/transcriptomics_data_integration.
DOI: 10.26186/145858
title: Aquatic Substrate Library - Corner Inlet 2011

description: Record for source data hosted in the National Spectral Database (NSD) Aquatic Library

Citation:
Monk, J., Pope, A., Ierodiaconou, D., Otera, K. & Mount, R. (2011) Corner Inlet and Nooramunga Habitat Mapping Project; Deakin University, Warrnambool, Victoria, Australia.

For further information and instructions to access the database go to the following URL:
https://cmi.ga.gov.au/data-products/dea/643/australian-national-spectral-database