cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.3402554
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Shorthouse, David Peter, https://orcid.org/0000-0001-7618-5230. Claims were made on Bloodhound, https://bloodhound-tracker.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
DOI: 10.17632/xh9x9wxj9h.1
title: Data for: Techno-Economic Assessment of Energy Storage Systems using Annualized Life Cycle Cost of Storage (LCCOS) and Levelized Cost of Energy (LCOE) Metrics
DOI: 10.5281/zenodo.3407794
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Copas, Kyle, https://orcid.org/0000-0002-6590-599X. Claims were made on Bloodhound, https://bloodhound-tracker.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
DOI: 10.5281/zenodo.3701861
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Rainer, Heimo, https://orcid.org/0000-0002-5963-349X. Claims were made on Bloodhound, https://bloodhound-tracker.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
DOI: 10.6085/aa/valxxx_015adcp015r00_20110930.40.1
title: (:unkn)
DOI: 10.5281/zenodo.3692084
title: UBC2019 - A dataset of subjective image quality of head-mounted displays

description: This is the dataset described in the following publication: "A subjective method for evaluating foveated image quality in HMDs", V. Thirumalai, J. Ribera, J. Xiang, J. Zhang, M. Azimi, J. Kamali, P. Nasiopoulos, <em>Society of Information Display, Display Week</em> - May 2020, San Francisco, CA
DOI: 10.5281/zenodo.3692085
title: UBC2019 - A dataset of subjective image quality of head-mounted displays

description: This is the dataset described in the following publication: "A subjective method for evaluating foveated image quality in HMDs", V. Thirumalai, J. Ribera, J. Xiang, J. Zhang, M. Azimi, J. Kamali, P. Nasiopoulos, <em>Society of Information Display, Display Week</em> - May 2020, San Francisco, CA
DOI: 10.18141/1603331
title: Compartmentalized Storage Reservoir Model and Simulation Results

description: A hypothetical closed (or compartmentalized) reservoir was created based on the numerical mesh used for Wainwright et al. (2013). The reservoir extent is smaller than the original model and limited between the two faults. The caprock properties are assumed in the rest of the storage formation.
DOI: 10.18141/1603333
title: Hydrogeologic Model Based on Reduced Complexity

description: This data set provides the basic hydrogeologic model used for development of the TOUGH2 reservoir modeling results for the Kimberlina site. The hydrogeologic model is based on the static geologic model provided as a separate data set but has some simplifications regarding the geologic layers. Some geologic layers have been merged for the hydrogeologic model because the hydrogeologic properties were very similar. The data set contains several files. The word file explains the structure of the data files. The pdf contains a table with the hydrogeologic properties. The data set also includes 15 thickness files for 15 geological layers (including 3 Vedder sand layers and 3 Vedder shale layers), three elevations files (with reference elevation at ground surface/model top at 9000 m), and one fault trace file for seven faults. Most users may only need 2-3 faults close to the injection well (also see the figure). The arrangement of these layer thickness and elevations files can be see from the three layer files (for Tecplot). To develop a grid structure, start with the Vedder top elevation (REFVedderTop.dat) and add/subtract the thicknesses of layers above/below.
DOI: 10.18141/1603335
title: Kimberlina - Regional Static 3D Geologic Model of the Southern San Joaquin Basin

description: Regional static 3D geologic model of the southern San Joaquin Basin for the Westcarb Kimberlina demonstration project created in Earthvision (DGI, Inc.). Also contains a smaller-scale model from the larger basin domain for the geometry used in Birkholzer et al. (2011). Data sets derived from: Wagoner, J., 2009, 3D geologic modeling of the Southern San Joaquin Basin for the Westcarb Kimberlina demonstration project—A status report: Lawrence Livermore National Laboratory LLNL-TR-410813, 27 p. Birkholzer, J.T., Zhou, Q., Cortis, A. and Finsterle, S., 2011, A sensitivity study on regional pressure buildup from large-scale CO2 storage projects. Energy Procedia, 4, pp.4371-4378. LLNL contact and file inventory creator: Kayyum Mansoor (mansoor1@llnl.gov)
DOI: 10.25584/atque/1603470
title: Versatile intangible projection

description: Deleniti porro nam voluptatum dolores esse et. Necessitatibus ratione doloribus quisquam mollitia. Quod sit esse accusamus in laboriosam.<br>Enim tempore neque rerum animi quibusdam nesciunt iure. Itaque corporis pariatur perspiciatis at saepe voluptatum. Vero maiores itaque nostrum. Et eos sed ducimus occaecati.<br>Rerum sed cupiditate atque ratione repellendus. Animi cum quia eum veritatis sit iusto soluta.
DOI: 10.6084/m9.figshare.3761562.v1414
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.17632/ym3955zj58.1
title: Data for: Rapid and Efficient Semiquantitative Screening for Elemental Contamination of Sample Collection Containers

description: Instrument Data discussed in paper
DOI: 10.6085/aa/winxxx_015mtbd009r00_20100827.40.1
title: (:unkn)
DOI: 10.6085/aa/winxxx_015mtbd009r00_20101125.40.1
title: (:unkn)
DOI: 10.6085/aa/winxxx_015mtbd009r00_20110930.40.1
title: (:unkn)
DOI: 10.6085/aa/winxxx_015mtbd009r00_20111207.40.1
title: (:unkn)
DOI: 10.17632/xfxst9ztm7.1
title: Data for: Thermal imaging relative surface temperature as an indicator of plant species diversity and restoration progress

description: This dataset contains all data used in the manuscript by Hamberg, Fraser, Robinson, Trant and Murphy. The hypotheses is that surface temperature will decrease with increasing vegetation diversity, that native diversity is better at decreasing temperature and that surface temperature will decrease over time in restoration areas. We find support for all three of these hypotheses. The dataset contains one xls-file with multiple sheets. A summary of the sheets are presented below: 1. "LEF_veg_data_by_plot_2007-2018" - Includes all vegetation data used in the manuscript. This is a subset of all vegetation data provided by Nature Conservancy of Canada. Any missing data points have been removed and species richness and diversity only include when species were identified to species level. For the full dataset of all sampling done at the site contact me and I can put you in contact with the appropriate NCC staff to get permission to share. 2. "LEF_veg_temp_data_means" - The same data as above but taking the means of each plot transect. Mean relative surface temperature (TempPerM) and mean relative NDVI (NDVI_diff) is also included in this sheet. This data is what underlies the testing of the first and second hypotheses. The 'Type' column indicates if transect was in Active or Passive restoration. 3. "LEF_tempdata" - All temperature data used from the Lake Erie Farms site, including that of the mature forest reference areas. 4. "LEF_NDVIdata" - As above but for NDVI instead of temperature. 5. "ECOSTRESS_paired_data" - shows the diurnal temperature variation for the paired measurements from 2018 ECOSTRESS and (one) Landsat measurements (Paired_diff) for each restoration area and the days since restoration for each field. 6. "ECOSTRESS_all_data" - Same data but unpaired and including the second Landsat reading that was removed due to being taken in June, further away from the other readings seasonally. 7. "Temp_31_fields_post_restoration" - the relative temperature (%tempdiff) for all 31 restoration fields over time since restoration, including relative NDVI. Also includes the air temperature, humidity and wind speed from the Delhi, Ontario weather station as near as possible in time to when the image was taken. Also indicates if 100, &gt;90% and &gt;75% of each area was imaged correctly (i.e. no lost pixels or cloud cover within 200 meters of that pixel). Only areas with &gt;75% of pixels remaining in both the restoration area and the paired mature forest area were retained. 8. "Temp_31_fields_pre_restoration" - Same as above but with the data from before restoration for each field. These sheets are divided as the statistical analysis was made separately on the pre-restoration and post-restoration data. 9. "Temp_31_incl_mature" - All data as above but also including temperature of the paired mature forest areas.
DOI: 10.7910/dvn/crzcpt/uohdky
title: Spamann_role_bias_code_revised.do

description: revised analysis file (produces tables etc. as in revision submitted to JLS)
DOI: 10.6084/m9.figshare.11960004
title: Additional file 2 of In silico evolution of Aspergillus niger organic acid production suggests strategies for switching acid output

description: Additional file 2. The iDU1756 model presented as a spreadsheet.
DOI: 10.6084/m9.figshare.11960004.v1
title: Additional file 2 of In silico evolution of Aspergillus niger organic acid production suggests strategies for switching acid output

description: Additional file 2. The iDU1756 model presented as a spreadsheet.
DOI: 10.6084/m9.figshare.11960007
title: Additional file 3 of In silico evolution of Aspergillus niger organic acid production suggests strategies for switching acid output

description: Additional file 3. The iDU1756 model in SBML format.
DOI: 10.6084/m9.figshare.11960007.v1
title: Additional file 3 of In silico evolution of Aspergillus niger organic acid production suggests strategies for switching acid output

description: Additional file 3. The iDU1756 model in SBML format.
DOI: 10.6084/m9.figshare.11960010
title: Additional file 4 of In silico evolution of Aspergillus niger organic acid production suggests strategies for switching acid output

description: Additional file 4. A detailed complete comparison of the models iDU1756 and iJB1325.
DOI: 10.6084/m9.figshare.11960010.v1
title: Additional file 4 of In silico evolution of Aspergillus niger organic acid production suggests strategies for switching acid output

description: Additional file 4. A detailed complete comparison of the models iDU1756 and iJB1325.
DOI: 10.6084/m9.figshare.11960025
title: Additional file 10 of New insights from the biogas microbiome by comprehensive genome-resolved metagenomics of nearly 1600 species originating from multiple anaerobic digesters

description: Additional file 10. MAGs having KEGG modules. Number of MAGs having each KEGG module are reported. Only MAGs having complete and 1 block missing KEGG modules are considered. In column B is reported the total number of MAGs per each phylum (considering only high quality and medium-high quality MAGs). KEGG modules are reported in columns.
DOI: 10.6084/m9.figshare.11960025.v1
title: Additional file 10 of New insights from the biogas microbiome by comprehensive genome-resolved metagenomics of nearly 1600 species originating from multiple anaerobic digesters

description: Additional file 10. MAGs having KEGG modules. Number of MAGs having each KEGG module are reported. Only MAGs having complete and 1 block missing KEGG modules are considered. In column B is reported the total number of MAGs per each phylum (considering only high quality and medium-high quality MAGs). KEGG modules are reported in columns.
DOI: 10.6084/m9.figshare.11960040
title: Additional file 11 of New insights from the biogas microbiome by comprehensive genome-resolved metagenomics of nearly 1600 species originating from multiple anaerobic digesters

description: Additional file 11. KEGG pathways abundance in different microbial samples. Abundance of all HQ and MHQ MAGs having a complete or "one block missing" KEGG module were summed and the value is reported here as an estimate of the abundance of this pathway in each sample.
DOI: 10.6084/m9.figshare.11960043
title: Additional file 12 of New insights from the biogas microbiome by comprehensive genome-resolved metagenomics of nearly 1600 species originating from multiple anaerobic digesters

description: Additional file 12. Enrichment of CAZymes classes in MAGs. Number of proteins assigned to different classes and determined using dbCAN software. Only HQ and MHQ MAGs have been considered.
DOI: 10.6084/m9.figshare.11960043.v1
title: Additional file 12 of New insights from the biogas microbiome by comprehensive genome-resolved metagenomics of nearly 1600 species originating from multiple anaerobic digesters

description: Additional file 12. Enrichment of CAZymes classes in MAGs. Number of proteins assigned to different classes and determined using dbCAN software. Only HQ and MHQ MAGs have been considered.
DOI: 10.6084/m9.figshare.11960040.v1
title: Additional file 11 of New insights from the biogas microbiome by comprehensive genome-resolved metagenomics of nearly 1600 species originating from multiple anaerobic digesters

description: Additional file 11. KEGG pathways abundance in different microbial samples. Abundance of all HQ and MHQ MAGs having a complete or "one block missing" KEGG module were summed and the value is reported here as an estimate of the abundance of this pathway in each sample.
DOI: 10.6084/m9.figshare.11960052
title: Additional file 13 of New insights from the biogas microbiome by comprehensive genome-resolved metagenomics of nearly 1600 species originating from multiple anaerobic digesters

description: Additional file 13. Index of replication. iRep values were calculated for each MAG in all the samples considered. Average values were calculated for replicate samples. All samples are reported in column 2, while MAGs IDs and names are reported in columns A and B.
DOI: 10.6084/m9.figshare.11960052.v1
title: Additional file 13 of New insights from the biogas microbiome by comprehensive genome-resolved metagenomics of nearly 1600 species originating from multiple anaerobic digesters

description: Additional file 13. Index of replication. iRep values were calculated for each MAG in all the samples considered. Average values were calculated for replicate samples. All samples are reported in column 2, while MAGs IDs and names are reported in columns A and B.
DOI: 10.6084/m9.figshare.11960061
title: Additional file 14 of New insights from the biogas microbiome by comprehensive genome-resolved metagenomics of nearly 1600 species originating from multiple anaerobic digesters

description: Additional file 14. Results obtained using RAST (Rapid Annotation using Subsystem Technology). MAGs genes were assigned to the function using RAST and the number of genes identified per each functional category (FL = first level; SL = second level) are reported. Functional categories are reported in column B, while MAGs are reported in rows (2 is MAG ID and 3 is MAG name assigned considering taxonomy).
DOI: 10.6084/m9.figshare.11960061.v1
title: Additional file 14 of New insights from the biogas microbiome by comprehensive genome-resolved metagenomics of nearly 1600 species originating from multiple anaerobic digesters

description: Additional file 14. Results obtained using RAST (Rapid Annotation using Subsystem Technology). MAGs genes were assigned to the function using RAST and the number of genes identified per each functional category (FL = first level; SL = second level) are reported. Functional categories are reported in column B, while MAGs are reported in rows (2 is MAG ID and 3 is MAG name assigned considering taxonomy).
DOI: 10.6084/m9.figshare.11960064
title: Additional file 1 of New insights from the biogas microbiome by comprehensive genome-resolved metagenomics of nearly 1600 species originating from multiple anaerobic digesters

description: Additional file 1. Metadata of the samples included in the present study. The composition of the feedstocks used in the different reactors was approximated using substrate information from various sources. When available, such data was taken from the publicly accessible description of the respective experiments or full-scale plant operation datasets. Otherwise, reactor feedstocks were estimated by a proportionality-based mixing technique: taking the characteristics of their individual constituents from available literature and combining them according to their fresh matter (FM) or volatile solid (VS) ratio in the feed.
DOI: 10.6084/m9.figshare.11960064.v1
title: Additional file 1 of New insights from the biogas microbiome by comprehensive genome-resolved metagenomics of nearly 1600 species originating from multiple anaerobic digesters

description: Additional file 1. Metadata of the samples included in the present study. The composition of the feedstocks used in the different reactors was approximated using substrate information from various sources. When available, such data was taken from the publicly accessible description of the respective experiments or full-scale plant operation datasets. Otherwise, reactor feedstocks were estimated by a proportionality-based mixing technique: taking the characteristics of their individual constituents from available literature and combining them according to their fresh matter (FM) or volatile solid (VS) ratio in the feed.
DOI: 10.6084/m9.figshare.11960073
title: Additional file 3 of New insights from the biogas microbiome by comprehensive genome-resolved metagenomics of nearly 1600 species originating from multiple anaerobic digesters

description: Additional file 3. Global statistics of the assemblies and binning.
DOI: 10.6084/m9.figshare.11960073.v1
title: Additional file 3 of New insights from the biogas microbiome by comprehensive genome-resolved metagenomics of nearly 1600 species originating from multiple anaerobic digesters

description: Additional file 3. Global statistics of the assemblies and binning.
DOI: 10.6084/m9.figshare.11960076
title: Additional file 4 of New insights from the biogas microbiome by comprehensive genome-resolved metagenomics of nearly 1600 species originating from multiple anaerobic digesters

description: Additional file 4. MAGs taxonomy. MAGs obtained after redundancy removal (based on ANI calculation) were assigned to the taxonomy using three different methods and results were subsequently combined.
DOI: 10.6084/m9.figshare.11960076.v1
title: Additional file 4 of New insights from the biogas microbiome by comprehensive genome-resolved metagenomics of nearly 1600 species originating from multiple anaerobic digesters

description: Additional file 4. MAGs taxonomy. MAGs obtained after redundancy removal (based on ANI calculation) were assigned to the taxonomy using three different methods and results were subsequently combined.
DOI: 10.6084/m9.figshare.11960085
title: Additional file 5 of New insights from the biogas microbiome by comprehensive genome-resolved metagenomics of nearly 1600 species originating from multiple anaerobic digesters

description: Additional file 5. Comparison of MAGs with those reported in previous projects.
DOI: 10.6084/m9.figshare.11960085.v1
title: Additional file 5 of New insights from the biogas microbiome by comprehensive genome-resolved metagenomics of nearly 1600 species originating from multiple anaerobic digesters

description: Additional file 5. Comparison of MAGs with those reported in previous projects.
DOI: 10.6084/m9.figshare.11960088
title: Additional file 6 of New insights from the biogas microbiome by comprehensive genome-resolved metagenomics of nearly 1600 species originating from multiple anaerobic digesters

description: Additional file 6. Relative abundance of each taxa in the samples examined. Relative abundance of all the MAG having the same taxonomic assignment were combined in order to determine the relative abundance of each taxon as reported in columns D-CP. All the taxonomic levels from kingdom to genus were considered.
DOI: 10.6084/m9.figshare.11960088.v1
title: Additional file 6 of New insights from the biogas microbiome by comprehensive genome-resolved metagenomics of nearly 1600 species originating from multiple anaerobic digesters

description: Additional file 6. Relative abundance of each taxa in the samples examined. Relative abundance of all the MAG having the same taxonomic assignment were combined in order to determine the relative abundance of each taxon as reported in columns D-CP. All the taxonomic levels from kingdom to genus were considered.
DOI: 10.6084/m9.figshare.11960094
title: Additional file 7 of New insights from the biogas microbiome by comprehensive genome-resolved metagenomics of nearly 1600 species originating from multiple anaerobic digesters

description: Additional file 7. Diversity indexes. Indexes were calculated for each sample in order to estimate the characteristics of the microbiome. Results were obtained starting from the files reporting the number of reads assigned to each MAG on each sample (subsampling all the samples to 1 million reads) and subsequently elaborated using PAST software. Colors reported in line 2 refer to the projects from which reads have been collected. Remaining colors were assigned in order to discriminate low and high values in a heatmap scale.
DOI: 10.6084/m9.figshare.11960094.v1
title: Additional file 7 of New insights from the biogas microbiome by comprehensive genome-resolved metagenomics of nearly 1600 species originating from multiple anaerobic digesters

description: Additional file 7. Diversity indexes. Indexes were calculated for each sample in order to estimate the characteristics of the microbiome. Results were obtained starting from the files reporting the number of reads assigned to each MAG on each sample (subsampling all the samples to 1 million reads) and subsequently elaborated using PAST software. Colors reported in line 2 refer to the projects from which reads have been collected. Remaining colors were assigned in order to discriminate low and high values in a heatmap scale.
DOI: 10.6084/m9.figshare.11960097.v1
title: Additional file 8 of New insights from the biogas microbiome by comprehensive genome-resolved metagenomics of nearly 1600 species originating from multiple anaerobic digesters

description: Additional file 8. MAGs coverage per sample. MAGs coverage was calculated on all the samples (average values were considered for samples collected in replicates).
DOI: 10.6084/m9.figshare.11960103.v1
title: Additional file 9 of New insights from the biogas microbiome by comprehensive genome-resolved metagenomics of nearly 1600 species originating from multiple anaerobic digesters

description: Additional file 9. KEGG modules. Completeness of each KEGG module was reported for the high and medium-high quality MAGs.
DOI: 10.6084/m9.figshare.11960097
title: Additional file 8 of New insights from the biogas microbiome by comprehensive genome-resolved metagenomics of nearly 1600 species originating from multiple anaerobic digesters

description: Additional file 8. MAGs coverage per sample. MAGs coverage was calculated on all the samples (average values were considered for samples collected in replicates).
DOI: 10.6084/m9.figshare.11960103
title: Additional file 9 of New insights from the biogas microbiome by comprehensive genome-resolved metagenomics of nearly 1600 species originating from multiple anaerobic digesters

description: Additional file 9. KEGG modules. Completeness of each KEGG module was reported for the high and medium-high quality MAGs.
DOI: 10.6085/aa/winxxx_015mtbd014r00_20100827.40.1
title: (:unkn)
DOI: 10.6085/aa/winxxx_015mtbd014r00_20101125.40.1
title: (:unkn)
DOI: 10.6085/aa/winxxx_015mtbd014r00_20110301.40.1
title: (:unkn)
DOI: 10.6085/aa/winxxx_015mtbd014r00_20110523.40.1
title: (:unkn)