cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.24153192
title: <b>Prevalence of extended spectrum beta lactamase and molecular detection of blaTEM, blaSHV and blaCTX-M genotypes among Gram Negative Bacilli isolates from Hospital Acquired Infections in Pediatrics, One Institutional Study</b>

description: <b>Prevalence of extended spectrum beta lactamase and molecular detection of blaTEM, blaSHV and blaCTX-M genotypes among Gram Negative Bacilli isolates from Hospital Acquired Infections in Pediatrics, One Institutional Study</b>
DOI: 10.6084/m9.figshare.24153192.v1
title: <b>Prevalence of extended spectrum beta lactamase and molecular detection of blaTEM, blaSHV and blaCTX-M genotypes among Gram Negative Bacilli isolates from Hospital Acquired Infections in Pediatrics, One Institutional Study</b>

description: <b>Prevalence of extended spectrum beta lactamase and molecular detection of blaTEM, blaSHV and blaCTX-M genotypes among Gram Negative Bacilli isolates from Hospital Acquired Infections in Pediatrics, One Institutional Study</b>
DOI: 10.5281/zenodo.8353307
title: monocelis_spectator_spades_01.fasta.gz

description: .
DOI: 10.5281/zenodo.8353306
title: monocelis_spectator_spades_01.fasta.gz

description: .
DOI: 10.57841/casdc.0002334
title: 高温共电解技术实验测试数据数据集
DOI: 10.25345/c5mk65k1d
title: MassIVE MSV000092881 - Evaluation of micropropagated Melia azedarach's metabolism
title: LC-HRMS/MS data for chemical profiling of in vitro micropropagated Melia azedarach. Dataset includes raw and converted LC-HRMS/MS files, feature finding output and batch file with processing modules and parameters, dataset metadata and SIRIUS output.
DOI: 10.57841/casdc.0002335
title: XDA20107055-001-钠离子电池电芯成本数据集
DOI: 10.57841/casdc.0002336
title: 固体氧化物电解池间接触层不均匀性数值研究数据数据集
DOI: 10.5281/zenodo.5559230
title: Daily Anomalies of the Surface Atmospheric Fluxes of the Brazilian Northeast (DASAF-BNE)

description: This dataset contains the daily anomalies of the main atmospheric fluxes throughout the Brazilian NE region. Geographically it is framed at 42.5°W - 29.75°E/20.5°S - 1.25°N, in the time range from 1979-01-01 12:00:00 to 2017-12-31 12:00:00. The DASAF-BNE dataset with a spatial resolution of 1 degree was the basis for the calculation of the daily anomalies, they were interpolated by the bilinear method to obtain a resolution of 0.25 degrees.
description: This study was financed by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior – Brasil (CAPES) – through the project Ciências do Mar II, AUXPE 1979/2014 and a pos doc grant to H. L. Varona. Finance Code 001.
description: {"references": ["H. L. Varona. (2021). mNC: A tool for Oceanographers and Meteorologists to easily create their NetCDF files using Matlab (1.0). Zenodo. https://doi.org/10.5281/zenodo.5572749", "H. L. Varona. (2021). CalcPlotAnomaly: Matlab function set for the calculation and plotting of anomalies (1.01). Zenodo. https://doi.org/10.5281/zenodo.5576889"]}
DOI: 10.5281/zenodo.5559229
title: Daily Anomalies of the Surface Atmospheric Fluxes of the Brazilian Northeast (DASAF-BNE)

description: This dataset contains the daily anomalies of the main atmospheric fluxes throughout the Brazilian NE region. Geographically it is framed at 42.5°W - 29.75°E/20.5°S - 1.25°N, in the time range from 1979-01-01 12:00:00 to 2017-12-31 12:00:00. The DASAF-BNE dataset with a spatial resolution of 1 degree was the basis for the calculation of the daily anomalies, they were interpolated by the bilinear method to obtain a resolution of 0.25 degrees.
description: This study was financed by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior – Brasil (CAPES) – through the project Ciências do Mar II, AUXPE 1979/2014 and a pos doc grant to H. L. Varona. Finance Code 001.
description: {"references": ["H. L. Varona. (2021). mNC: A tool for Oceanographers and Meteorologists to easily create their NetCDF files using Matlab (1.0). Zenodo. https://doi.org/10.5281/zenodo.5572749", "H. L. Varona. (2021). CalcPlotAnomaly: Matlab function set for the calculation and plotting of anomalies (1.01). Zenodo. https://doi.org/10.5281/zenodo.5576889"]}
DOI: 10.5519/qd.dx9pdbgq
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (800383 records)
DOI: 10.5281/zenodo.8353314
title: mareca_strepera_spades_01.fasta.gz

description: .
DOI: 10.5281/zenodo.8353313
title: mareca_strepera_spades_01.fasta.gz

description: .
DOI: 10.5281/zenodo.8353459
title: margarornis_squamiger_spades_01.fasta.gz

description: .
DOI: 10.5281/zenodo.8353458
title: margarornis_squamiger_spades_01.fasta.gz

description: .
DOI: 10.5281/zenodo.8080081
title: Killer whale acoustic patterns respond to prey abundance and environmental variability around the Prince Edward Islands, Southern Ocean

description: Killer whales are apex predators with temporally and spatially varying distributions throughout the world’s oceans. Their ecology and behaviour are poorly understood in most regions due to limited research, often because of logistical challenges. Here, we use easily deployable year-round passive acoustic monitoring device to investigate the seasonal acoustic occurrence and diel vocalizing behaviour of killer whales around the remote sub-Antarctic Prince Edward Islands (PEIs), Southern Ocean. Killer whales showed diel vocalizing patterns that varied seasonally in relation to their prey abundance and social activities. Killer whale calls were intermittently detected year-round with a high number of hours containing calls in October through December, and a secondary peak in March through May, which corresponded to the abundance of seal prey. Random forest modelling identified wind speed as an important predictor of the occurrence of killer whale calls whilst sea surface height, chlorophyll-a, and sea surface temperature were moderately important. We provide the first acoustic evidence that killer whale occurrence around PEIs coincide with variability in environmental conditions and prey abundance. Our results provide the first indication of diel vocalizing pattern of killer whales in the Southern Ocean. This knowledge is important for understanding killer whale ecology and adaptation to the changing oceans.
DOI: 10.5281/zenodo.8080082
title: Killer whale acoustic patterns respond to prey abundance and environmental variability around the Prince Edward Islands, Southern Ocean

description: Killer whales are apex predators with temporally and spatially varying distributions throughout the world’s oceans. Their ecology and behaviour are poorly understood in most regions due to limited research, often because of logistical challenges. Here, we use easily deployable year-round passive acoustic monitoring device to investigate the seasonal acoustic occurrence and diel vocalizing behaviour of killer whales around the remote sub-Antarctic Prince Edward Islands (PEIs), Southern Ocean. Killer whales showed diel vocalizing patterns that varied seasonally in relation to their prey abundance and social activities. Killer whale calls were intermittently detected year-round with a high number of hours containing calls in October through December, and a secondary peak in March through May, which corresponded to the abundance of seal prey. Random forest modelling identified wind speed as an important predictor of the occurrence of killer whale calls whilst sea surface height, chlorophyll-a, and sea surface temperature were moderately important. We provide the first acoustic evidence that killer whale occurrence around PEIs coincide with variability in environmental conditions and prey abundance. Our results provide the first indication of diel vocalizing pattern of killer whales in the Southern Ocean. This knowledge is important for understanding killer whale ecology and adaptation to the changing oceans.
DOI: 10.5281/zenodo.8353480
title: Killer whale acoustic patterns respond to prey abundance and environmental variability around the Prince Edward Islands, Southern Ocean

description: Killer whales are apex predators with temporally and spatially varying distributions throughout the world’s oceans. Their ecology and behaviour are poorly understood in most regions due to limited research, often because of logistical challenges. Here, we use easily deployable year-round passive acoustic monitoring device to investigate the seasonal acoustic occurrence and diel vocalizing behaviour of killer whales around the remote sub-Antarctic Prince Edward Islands (PEIs), Southern Ocean. Killer whales showed diel vocalizing patterns that varied seasonally in relation to their prey abundance and social activities. Killer whale calls were intermittently detected year-round with a high number of hours containing calls in October through December, and a secondary peak in March through May, which corresponded to the abundance of seal prey. Random forest modelling identified wind speed as an important predictor of the occurrence of killer whale calls whilst sea surface height, chlorophyll-a, and sea surface temperature were moderately important. We provide the first acoustic evidence that killer whale occurrence around PEIs coincide with variability in environmental conditions and prey abundance. Our results provide the first indication of diel vocalizing pattern of killer whales in the Southern Ocean. This knowledge is important for understanding killer whale ecology and adaptation to the changing oceans.
DOI: 10.5281/zenodo.8353475
title: The Labour Movement's Perspective on Digital Labour: The Case of Turkish Labour Unionists

description: The Labour Movement's Perspective on Digital Labour (Turkey)
DOI: 10.5281/zenodo.8353474
title: The Labour Movement's Perspective on Digital Labour: The Case of Turkish Labour Unionists

description: The Labour Movement's Perspective on Digital Labour (Turkey)
DOI: 10.5281/zenodo.8353486
title: arremon_aurantiirostris_spades_01.fasta.gz

description: .
DOI: 10.5281/zenodo.8353485
title: arremon_aurantiirostris_spades_01.fasta.gz

description: .
DOI: 10.5519/qd.xofcz4bu
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.6084/m9.figshare.22199464
title: Taxonomy of all ASVs

description: This file provides the full classification of all the amplicon sequence variants obtained in this study.
DOI: 10.6084/m9.figshare.22199464.v1
title: Taxonomy of all ASVs

description: This file provides the full classification of all the amplicon sequence variants obtained in this study.
DOI: 10.6084/m9.figshare.22199458
title: Metadata for all samples for this study

description: This file lists the main characteristics of all the subjects recruited for this study.
DOI: 10.6084/m9.figshare.22199431
title: ASV counts for all samples.

description: This file lists the distribution of all amplicon sequence variants in the firefighters and the control samples.
DOI: 10.6084/m9.figshare.24083247.v3
title: Biodiversity changes in Mesoamerican biopshere reserves

description: Data on biodiversity changes documented in several biosphere reserves in Mesoamerica. The data comes from a study documenting the underlying and proximate drivers of biodiversity changes in Mexican protected areas.The study was submitted to PNAS in 2023.
DOI: 10.5281/zenodo.7703726
title: Design of a redox-proficient Escherichia coli for screening terpenoids and modifying cytochrome P450s

description: LRD_screening.zip: GCMS data for screening biosynthetic pathways of LRD scaffold paired with 64 CYPs. Each GCMS dataset is consisted of 1 pathway producing only LRD scaffold, 64 pathways producing LRD scaffold and different CYPs, and 2 alkane-series standards acquired before and after analyzing the 65 pathways. LRD04.zip, LRD04_01.zip...LRD04_19.zip: NMR and GCMS data for ent-kaurenoid derivatives described in this manuscript.
DOI: 10.5281/zenodo.8241578
title: Design of a redox-proficient Escherichia coli for screening terpenoids and modifying cytochrome P450s

description: 20 Terpenoid scaffold.zip: Raw GCMS data for titer comparisons. Required to reproduce Figure 2b. 20 Terpenoid scaffold_representative GCMS.zip: Representative GCMS data for 20 terpenoid scaffolds produced by E. coli MEV15 and 20. Required to reproduce Supplementary Figure 3. Characterization of LRD04 derivatives.zip: Raw NMR and GCMS data for 19 ent-kaurenoid derivatives described in this manuscript. Required to reproduce Supplementary Figures 13-33. LRD production optimization.zip: Raw GCMS data for pLRD construct screening with different IPTG concentration. Required to reproduce Supplementary Tables 9-36. LRD scaffolds.zip: Raw GCMS data for LRD production after optimization. Required to reproduce Figure 5 and Supplementary Tables 9-36. Pathway screening.zip: Raw GCMS data for screening biosynthetic pathways of LRD scaffold paired with 64 CYPs. Each GCMS dataset is consisted of 1 pathway producing only LRD scaffold, 64 pathways producing LRD scaffold and different CYPs, and 2 alkane-series standards acquired before and after analyzing the 65 pathways. Required to reproduce Figure 6 and Supplementary Tables 9-36. Redox array characterization 1.zip: Raw GCMS data for comparison of modified terpenoid production in the presence of different redox enzymes. Required to reproduce Figure 3a. Redox array characterization 1_scaffold.zip: Raw GCMS data for comparison of terpenoid scaffold production in the presence of different redox enzymes. Required to reproduce Supplementary Figure 4. Redox array characterization 2.zip: Raw GCMS data for comparison of modified terpenoid production with or without an additional copy of fldA/fpr. Required to reproduce Figure 3b and Supplementary Figure 5. Terpenoid inducer optimization.zip: Raw LCMS and GCMS data for optimizing 01a and 03a production in E. coli MEV20. Required to reproduce Figure 4 and Supplementary Figures 6 and 7.
DOI: 10.3886/e114303v1-141621
title: Replication data for: The Impact of Medical and Nursing Home Expenses on Savings

description: We consider a life-cycle model with idiosyncratic risk in earnings, out-of-pocket medical and nursing home expenses, and survival. Partial insurance is available through welfare, Medicaid, and social security. Calibrating the model to the United States we show that savings for old-age, out-of-pocket expenses account for 13.5 per- cent of aggregate wealth, half of which is due to nursing home expenses; cross-sectional out-of-pocket nursing home risk accounts for 3 percent of aggregate wealth and substantially slows down wealth decumulation at older ages; and all newborns would benefit if social insurance for nursing home stays was made more generous.
DOI: 10.7303/syn52503710
title: Indicadores Obstetricos
DOI: 10.5281/zenodo.8243444
title: Design of a redox-proficient Escherichia coli for screening terpenoids and modifying cytochrome P450s

description: 20 Terpenoid scaffold.zip: Raw GCMS data for titer comparisons. Required to reproduce Figure 2b. 20 Terpenoid scaffold_representative GCMS.zip: Representative GCMS data for 20 terpenoid scaffolds produced by E. coli MEV15 and 20. Required to reproduce Supplementary Figure 3. Characterization of LRD04 derivatives.zip: Raw NMR and GCMS data for 19 ent-kaurenoid derivatives described in this manuscript. Required to reproduce Supplementary Figures 13-33. LRD production optimization.zip: Raw GCMS data for pLRD construct screening with different IPTG concentration. Required to reproduce Supplementary Tables 9-36. LRD scaffolds.zip: Raw GCMS data for LRD production after optimization. Required to reproduce Figure 5 and Supplementary Tables 9-36. Pathway screening.zip: Raw GCMS data for screening biosynthetic pathways of LRD scaffold paired with 64 CYPs. Each GCMS dataset is consisted of 1 pathway producing only LRD scaffold, 64 pathways producing LRD scaffold and different CYPs, and 2 alkane-series standards acquired before and after analyzing the 65 pathways. Required to reproduce Figure 6 and Supplementary Tables 9-36. Redox array characterization 1.zip: Raw GCMS data for comparison of modified terpenoid production in the presence of different redox enzymes. Required to reproduce Figure 3a. Redox array characterization 1_scaffold.zip: Raw GCMS data for comparison of terpenoid scaffold production in the presence of different redox enzymes. Required to reproduce Supplementary Figure 4. Redox array characterization 2.zip: Raw GCMS data for comparison of modified terpenoid production with or without an additional copy of fldA/fpr. Required to reproduce Figure 3b and Supplementary Figure 5. Terpenoid inducer optimization.zip: Raw LCMS and GCMS data for optimizing 01a and 03a production in E. coli MEV20. Required to reproduce Figure 4 and Supplementary Figures 6 and 7. terpenoids_code.zip: Jupyter Notebook used for analyzing GNN results and metabolomic analysis (also available at https://github.com/gengminlin/GNN-and-Metabolomics-Analysis-for-LRD)
DOI: 10.5281/zenodo.7703725
title: Design of a redox-proficient Escherichia coli for screening terpenoids and modifying cytochrome P450s

description: 20 Terpenoid scaffold.zip: Raw GCMS data for titer comparisons. Required to reproduce Figure 2b. 20 Terpenoid scaffold_representative GCMS.zip: Representative GCMS data for 20 terpenoid scaffolds produced by E. coli MEV15 and 20. Required to reproduce Supplementary Figure 3. Characterization of LRD04 derivatives.zip: Raw NMR and GCMS data for 19 ent-kaurenoid derivatives described in this manuscript. Required to reproduce Supplementary Figures 13-33. LRD production optimization.zip: Raw GCMS data for pLRD construct screening with different IPTG concentration. Required to reproduce Supplementary Tables 9-36. LRD scaffolds.zip: Raw GCMS data for LRD production after optimization. Required to reproduce Figure 5 and Supplementary Tables 9-36. Pathway screening.zip: Raw GCMS data for screening biosynthetic pathways of LRD scaffold paired with 64 CYPs. Each GCMS dataset is consisted of 1 pathway producing only LRD scaffold, 64 pathways producing LRD scaffold and different CYPs, and 2 alkane-series standards acquired before and after analyzing the 65 pathways. Required to reproduce Figure 6 and Supplementary Tables 9-36. Redox array characterization 1.zip: Raw GCMS data for comparison of modified terpenoid production in the presence of different redox enzymes. Required to reproduce Figure 3a. Redox array characterization 1_scaffold.zip: Raw GCMS data for comparison of terpenoid scaffold production in the presence of different redox enzymes. Required to reproduce Supplementary Figure 4. Redox array characterization 2.zip: Raw GCMS data for comparison of modified terpenoid production with or without an additional copy of fldA/fpr. Required to reproduce Figure 3b and Supplementary Figure 5. Terpenoid inducer optimization.zip: Raw LCMS and GCMS data for optimizing 01a and 03a production in E. coli MEV20. Required to reproduce Figure 4 and Supplementary Figures 6 and 7. terpenoids_code.zip: Jupyter Notebook used for analyzing GNN results and metabolomic analysis (also available at https://github.com/gengminlin/GNN-and-Metabolomics-Analysis-for-LRD)
DOI: 10.5281/zenodo.8253472
title: Training data for Xenopus nucleus for Oneat action classification

description: The tar file contains the raw, seg and csv file to create training patches for 4D oneat network for classification of xenopus nuclei into Normal and Mitosis cell types. In conjunction with the MTVKW repository this data can be used to generate training patches for a chosen size in TZYX (3,8,64,64) that is then used to train the oneat network. Using this dataset we generated Statistics Normal Mitosis Normal(Aug) Mitosis(Aug) 12530 2796 4178+4176 932+932 Aug = Augmentation using Poisson and Gaussian noise and flip XY transformation. The training data image size = (7663,3,8,64,64,1) The training data label size = (7663,3,10,1) Script: https://github.com/kapoorlab/MTVKW/blob/main/minus_06_create_oneat_patches.py
description: Computational support provided by Jean Zay dynamic access grants : AD011013724R1, AD011013695R1, AD011013695R1, AD011013396R1, AD011013396R1
DOI: 10.5281/zenodo.8253471
title: Training data for Xenopus nucleus for Oneat action classification

description: Contains the npz files to train 4D oneat network for classification of xenopus nuclei into Normal and Mitosis cell types. In conjunction with the MTVKW repository this data contains patches of TZYX (3,8,64,64) that is then used to train the oneat network. Statistics Statistics Normal Mitosis Normal(Aug) Mitosis(Aug) 12530 2796 4178+4176 932+932 Aug = Augmentation using Poisson and Gaussian noise and flip XY transformation. The training data image size = (7663,3,8,64,64,1) The training data label size = (7663,3,10,1) Script: https://github.com/kapoorlab/MTVKW/blob/main/minus_06_create_oneat_patches.py
description: Computational support provided by Jean Zay dynamic access grants : AD011013724R1, AD011013695R1, AD011013695R1, AD011013396R1, AD011013396R1
DOI: 10.5281/zenodo.8353632
title: Training data for Xenopus nucleus for Oneat action classification

description: Contains the npz files to train 4D oneat network for classification of xenopus nuclei into Normal and Mitosis cell types. In conjunction with the MTVKW repository this data contains patches of TZYX (3,8,64,64) that is then used to train the oneat network. Statistics Statistics Normal Mitosis Normal(Aug) Mitosis(Aug) 12530 2796 4178+4176 932+932 Aug = Augmentation using Poisson and Gaussian noise and flip XY transformation. The training data image size = (7663,3,8,64,64,1) The training data label size = (7663,3,10,1) Script: https://github.com/kapoorlab/MTVKW/blob/main/minus_06_create_oneat_patches.py
description: Computational support provided by Jean Zay dynamic access grants : AD011013724R1, AD011013695R1, AD011013695R1, AD011013396R1, AD011013396R1