cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3886/e185661v2
title: ECIN Replication Package for "U.S. Shale Oil Production and Trend Estimation: Forecasting a Hubbert Model"

description: Scarcity and growth analyses about energy include forecasting extraction rates of non-renewable resources while taking into account technological progression. One mechanism, Moore’s (1965) Law of technological improvement, encompasses experience enhanced steady cost reductions. Alternatively, synthesis technological change refers to unforeseen innovative breakthroughs. These trends relate to the Hubbert (1956 & 1962) Curve of U.S shale oil extraction in the U.S. Lower 48 contiguous states. Price effects, drilling rigs and the price-to-drilling rig relationship are analyzed. Results show we are at peak U.S. shale oil, and could experience comprehensive decline. This implies Catton’s (1982) “Age of Exuberance,” and “Carrying Capacity” drawdown.
description: Petroleum Production.
description: Petroleum Production Data from Government and Industry
DOI: 10.3886/e185661v1
title: ECIN Replication Package for "U.S. Shale Oil Production and Trend Estimation: Forecasting a Hubbert Model"

description: Scarcity and growth analyses about energy include forecasting extraction rates of non-renewable resources while taking into account technological progression. One mechanism, Moore’s (1965) Law of technological improvement, encompasses experience enhanced steady cost reductions. Alternatively, synthesis technological change refers to unforeseen innovative breakthroughs. These trends relate to the Hubbert (1956 & 1962) Curve of U.S shale oil extraction in the U.S. Lower 48 contiguous states. Price effects, drilling rigs and the price-to-drilling rig relationship are analyzed. Results show we are at peak U.S. shale oil, and could experience comprehensive decline. This implies Catton’s (1982) “Age of Exuberance,” and “Carrying Capacity” drawdown.
description: Petroleum Production.
description: Petroleum Production Data from Government and Industry
DOI: 10.6084/m9.figshare.22219573
title: CSEC+ Framework Assessment Dataset: Expert Evaluations of Cybersecurity Skills for Job Profiles in Europe (data package)

description: Data for <em>"</em><em>Consolidating cybersecurity in Europe: A case study on job profiles assessment</em><em>"</em> by C. E. Budde, A. Karinsalo, S. Vidor, J. Salonen, and F. Massacci (COSE 2023). <br> This data package contains the processing tools, raw data points, and resulting processed data used in DOI: 10.1016/j.cose.2022.103082 <br> A description of all data files here included, and their relation to the tables and figures of the publication (and the research process followed), can be found in "README.csv".
DOI: 10.6084/m9.figshare.22219573.v2
title: Consolidating cybersecurity in Europe: A case study on job profiles assessment (data package)

description: Data for <em>"</em><em>Consolidating cybersecurity in Europe: A case study on job profiles assessment</em><em>"</em> by C. E. Budde, A. Karinsalo, S. Vidor, J. Salonen, and F. Massacci (COSE 2023). <br> This data package contains the processing tools, raw data points, and resulting processed data used in DOI: 10.1016/j.cose.2022.103082 <br> A description of all data files here included, and their relation to the tables and figures of the publication (and the research process followed), can be found in "README.csv".
DOI: 10.6084/m9.figshare.22779359
title: Alfalfa BSA dataset used in the study

description: The data is generated using exome capture sequencing from 121 Alfalfa samples, collected from three generations of Inbreeding from USDA-ARS Washington, USDA-ARS Utah, and Corteva Agriscience, Wisconsin. The are 5 samples from selfing generation 1, 66 samples from selfing generation 2 and 50 Samples from Selfing generation 3.
DOI: 10.6084/m9.figshare.22779359.v1
title: Alfalfa BSA dataset used in the study

description: The data is generated using exome capture sequencing from 121 Alfalfa samples, collected from three generations of Inbreeding from USDA-ARS Washington, USDA-ARS Utah, and Corteva Agriscience, Wisconsin. The are 5 samples from selfing generation 1, 66 samples from selfing generation 2 and 50 Samples from Selfing generation 3.
DOI: 10.6084/m9.figshare.22799135
title: SNP file used in the prediction of Protein 3D structure for association study with alfalfa plant growth vigor.

description: The dataset contains the information for the Single Nucleotide polymorphism that is used for predicting the 3D structure of protein and using the features to perform association analysis with the phenotype
DOI: 10.6084/m9.figshare.22799135.v1
title: Single nucleotide polymorphisms data from alfalfa 534 samples using exome capture sequencing and filtering the raw vcf file based on minor allele frequency less than 0.05, minimum mean depth 20, no missing genotype and genotype call quality 30

description: The dataset contains the information for the Single Nucleotide polymorphism that is used for predicting the 3D structure of protein and using the features to perform association analysis with the phenotype
DOI: 10.6084/m9.figshare.22799135.v2
title: SNP file used in the prediction of Protein 3D structure for association study with alfalfa plant growth vigor.

description: The dataset contains the information for the Single Nucleotide polymorphism that is used for predicting the 3D structure of protein and using the features to perform association analysis with the phenotype
DOI: 10.25345/c5c53fb4k
title: MassIVE MSV000091912 - 2023_GNPS_MolecularNetworking_Workshop_CMMC
title: Example files for a GNPS Molecular Networking Workshop held online as part of the Collaborative Microbial Metabolite Center. Data are composed of two fecal samples from the American Gut Project (MSV000080673) and three samples (and their media blanks) from cultured bacteria with media containing bile acids (MSV000084475). Data were acquired in a Maxis Impact Q-TOF mass spectrometer (Bruker Daltonics) equipped with ESI source (positive ionization mode).
DOI: 10.5281/zenodo.7922539
title: Supplementary information for GIL: A python package for designing custom indexing primers

description: Supplementary information for GIL: A python package for designing custom indexing primers. Final_Indexes.zip contains the output from GIL run with default parameters. The first plate of generated indexing primers were ordered and used to create 44 Illumina sequencing libraries. BCL files from a MiSeq Nano run of the 44 libraries were successfully demultiplexed with bcl2fastq using the sample sheets generated by GIL. Analysis of sequences that were not demultiplexed successfully to determine deletion frequency in index sequences can be found in demultiplexing_tests.zip, along with relevant fastq and stats files.
DOI: 10.5281/zenodo.7922538
title: Supplementary information for GIL: A python package for designing custom indexing primers

description: Supplementary information for GIL: A python package for designing custom indexing primers. Final_Indexes.zip contains the output from GIL run with default parameters. The first plate of generated indexing primers were ordered and used to create 44 Illumina sequencing libraries. BCL files from a MiSeq Nano run of the 44 libraries were successfully demultiplexed with bcl2fastq using the sample sheets generated by GIL. Analysis of sequences that were not demultiplexed successfully to determine deletion frequency in index sequences can be found in demultiplexing_tests.zip, along with relevant fastq and stats files.
DOI: 10.34740/kaggle/dsv/5657232
title: Clustered-ZINC-molecules
DOI: 10.6084/m9.figshare.22259464
title: Supplemental Table 2: Transcript Expression of Common Neurotransmitters and Neuromodulators in Sample Sites

description: Known mRNA transcripts involved with neurotransmitter and neuromodulator signaling and synthesis. Log2(RPKM) values expressed as Mean+SEM. There were no significant differences between RA and Mild or Moderate CH within collection sites (Site A, grey; Site B, green; Site C, orange; Site D, blue). n=6 goats/condition
DOI: 10.6084/m9.figshare.22259464.v1
title: Supplemental Table 1: Transcript Expression of Common Neurotransmitters and Neuromodulators in Sample Sites

description: Known mRNA transcripts involved with neurotransmitter and neuromodulator signaling and synthesis. Log(RPKM) values expressed as Mean+SEM. There were no significant differences between RA and Mild or Moderate CH within collection sites (Site A, grey; Site B, green; Site C, orange; Site D, blue). n=6.
DOI: 10.5281/zenodo.7876571
title: RNAseq data: Analysis of circRNA expression in human neuronal differentiation

description: This dataset contains sequencing read count data related to samples from differentiating human neuroepithelial stem cells (NES) collected at days zero (NES), five (D5) and 28 (D28) of differentiation. Details on how samples were collected and how data was generated and processed are described below. <em>Sample preparation</em> NES were seeded on tissue culture flasks coated with 20 μg/ml poly-L-ornithine (Sigma-Aldrich P3655), and 1 μg/ml laminin (Sigma-Aldrich L2020). Cells were grown in DMEM/F12+GlutaMAX medium (ThermoFisher 31331093) supplemented with 0.05X B27 (ThermoFisher 17504044), 1X N2 (ThermoFisher 17502001), 10 ng/ml bFGF (fisher scientific CTP0261), 10 ng/ml EGF (PeproTech AF-100-15) and 10 U/ml penicillin/streptomycin (ThermoFisher 15140122). Medium was exchanged 50% daily and cells maintained in 5% CO2 at 37ºC, passaging once 100% confluent and seeding at a density of 5x104 cells/cm2. Neural differentiation was induced by growth factor withdrawal the day after plating with media B27 concentration increased to 0.5X. Media was exchanged 50% every second day up until D15, after which media was supplemented with 0.4 ug/ml laminin and exchanged 50% every three days. <em>RNA extraction and sequencing</em> Cells were lysed in TRIzol reagent (ThermoFischer 15596026) before separating with chloroform and mixing the aqueous phase with isopropanol as per manufacturer directions. RNA was then isolated from the isopropanol/chloroform solution using the ReliaPrep RNA Cell Miniprep kit (Promega Z6010). Libraries were prepared with Illumina Truseq Stranded total RNA RiboZero GOLD kit and sequenced on the NovaSeq6000 platform with a 2x151 setup using NovaSeqXp workflow in S4 mode flowcell. <em>Data generation</em> Raw reads were processed using cutadapt v3.2 to trim adaptor sequences and low-quality base pairs and discard short reads (options: -m 20 -e 0.1 -q 20 -O 1). The GRCh37 genome assembly was used for all alignment, annotation, and downstream analysis steps. Trimmed read weres alignment to the GRCh37 genome assembly using TopHat v2.0.9 tophat_fusion (with Bowtie v1.1.2 and Samtools v0.1.19) with –fusion-min-dist 200. BAM files have been anonymised by removal of potentially identifiable genetic variant information using BAMboozle v0.5.0 (Ziegenhain & Sandberg, 2021) with default settings. This BAM files and corresponding index (.bai) files are provided here with naming convention "<em>label.</em>bam" Information on sample labels and corresponding conditions is provided in the file 'metadata.txt'. <br>
DOI: 10.5281/zenodo.7876572
title: RNAseq read count data: Anaylsis of circRNA expression in human neuronal differentiation.

description: This dataset contains sequencing read count data related to samples from differentiating human neuroepithelial stem cells (NES) collected at days zero (NES), five (D5) and 28 (D28) of differentiation. Count tables for circular RNA ('circRNA_counts.txt'), linear RNA ('linearRNA_counts.txt') and exon ('exonCounts.txt') reads are provided. Information on sample labels and corresponding conditions is provided in the file 'metadata.txt'. The read count table for circRNAs were generated by merging output from three circRNA detection programs using the R package circRNAprofiler (https://github.com/Aufiero/circRNAprofiler). Raw data output from circRNA detection is provided for each sample in the format of '<em>programName_sampleId</em>.txt'. Information on the sample IDs is provided in the 'experiment.txt' file.
DOI: 10.5281/zenodo.7920369
title: RNAseq data: Analysis of circRNA expression in human neuronal differentiation

description: This dataset contains sequencing read count data related to samples from differentiating human neuroepithelial stem cells (NES) collected at days zero (NES), five (D5) and 28 (D28) of differentiation. Details on how samples were collected and how data was generated and processed are described below. <em>Sample preparation</em> NES were seeded on tissue culture flasks coated with 20 μg/ml poly-L-ornithine (Sigma-Aldrich P3655), and 1 μg/ml laminin (Sigma-Aldrich L2020). Cells were grown in DMEM/F12+GlutaMAX medium (ThermoFisher 31331093) supplemented with 0.05X B27 (ThermoFisher 17504044), 1X N2 (ThermoFisher 17502001), 10 ng/ml bFGF (fisher scientific CTP0261), 10 ng/ml EGF (PeproTech AF-100-15) and 10 U/ml penicillin/streptomycin (ThermoFisher 15140122). Medium was exchanged 50% daily and cells maintained in 5% CO2 at 37ºC, passaging once 100% confluent and seeding at a density of 5x104 cells/cm2. Neural differentiation was induced by growth factor withdrawal the day after plating with media B27 concentration increased to 0.5X. Media was exchanged 50% every second day up until D15, after which media was supplemented with 0.4 ug/ml laminin and exchanged 50% every three days. <em>RNA extraction and sequencing</em> Cells were lysed in TRIzol reagent (ThermoFischer 15596026) before separating with chloroform and mixing the aqueous phase with isopropanol as per manufacturer directions. RNA was then isolated from the isopropanol/chloroform solution using the ReliaPrep RNA Cell Miniprep kit (Promega Z6010). Libraries were prepared with Illumina Truseq Stranded total RNA RiboZero GOLD kit and sequenced on the NovaSeq6000 platform with a 2x151 setup using NovaSeqXp workflow in S4 mode flowcell. <em>Data generation</em> Raw reads were processed using cutadapt v3.2 to trim adaptor sequences and low-quality base pairs and discard short reads (options: -m 20 -e 0.1 -q 20 -O 1). The GRCh37 genome assembly was used for all alignment, annotation, and downstream analysis steps. Trimmed read weres alignment to the GRCh37 genome assembly using TopHat v2.0.9 tophat_fusion (with Bowtie v1.1.2 and Samtools v0.1.19) with –fusion-min-dist 200. BAM files have been anonymised by removal of potentially identifiable genetic variant information using BAMboozle v0.5.0 (Ziegenhain & Sandberg, 2021) with default settings. This BAM files and corresponding index (.bai) files are provided here with naming convention "<em>label.</em>bam" Information on sample labels and corresponding conditions is provided in the file 'metadata.txt'. <br>
DOI: 10.6084/m9.figshare.22259461
title: Supplemental Table 3: Enriched GO Terms in Mild CH

description: Significant (P.adj.&lt;0.05) GO terms were identified with Gene Ontology enrichment analysis (R package: gProfiler2). “Gene” column lists the DEGs that were annotated to each enriched GO term. Coloring of each individual gene represents fold change values (Red, Upregulated; Blue, Downregulated).
DOI: 10.6084/m9.figshare.22259461.v1
title: Supplemental Table 2: Enriched GO Terms in Mild CH

description: Significant (P.adj.&lt;0.05) GO terms were identified with Gene Ontology enrichment analysis (R package: gProfiler2). “Gene” column lists the DEGs that were annotated to each enriched GO term. Coloring of each individual gene represents fold change values (Red, Upregulated; Blue, Downregulated).
DOI: 10.6084/m9.figshare.22799168
title: Rekapitulasi Survei Mahasiswa Tentang Topik Skripsi di Prodi Pendidikan Teknologi Informatika dan Komputer

description: Dokumen ini adalah rekapitulasi hasil survei terhadap mahasiswa Prodi Pendidikan Teknologi Informatika dan Komputer Universitas Negeri Medan tahun angkatan 2019. Survei ini bertujuan untuk mengetahui kebermanfaatan ChatGPT sebagai solusi alternatif untuk menemukan topik skripsi bagi mahasiswa yang belum memiliki topik skripsi sesuai dengan bidangnya.
DOI: 10.6084/m9.figshare.22259452
title: Supplemental Table 4: Enriched GO Terms in Moderate CH

description: Significant (P.adj.&lt;0.05) GO terms were identified with Gene Ontology enrichment analysis (R package: gProfiler2). “Gene” column lists the DEGs that were annotated to each enriched GO term. Coloring of each individual gene represents fold change values (Red, Upregulated; Blue, Downregulated).
DOI: 10.6084/m9.figshare.22259452.v1
title: Supplemental Table 3: Enriched GO Terms in Moderate CH

description: Significant (P.adj.&lt;0.05) GO terms were identified with Gene Ontology enrichment analysis (R package: gProfiler2). “Gene” column lists the DEGs that were annotated to each enriched GO term. Coloring of each individual gene represents fold change values (Red, Upregulated; Blue, Downregulated).
DOI: 10.25914/377k-q805
title: Magnetotelluric surveys of South-East South Australia as part of the Australian Lithospheric Architecture Magnetotelluric Project (AusLAMP)
DOI: 10.25914/bzd5-n780
title: Magnetotelluric surveys of South Australia as part of the Australian Lithospheric Architecture Magnetotelluric Project (AusLAMP)
DOI: 10.25914/xx67-cd77
title: Magnetotelluric surveys of South-East South Australia as part of the Australian Lithospheric Architecture Magnetotelluric Project (AusLAMP) (packed raw time series archive)
DOI: 10.25914/bnhe-3w04
title: Magnetotelluric surveys of the Gawler Craton, South Australia as part of the Australian Lithospheric Architecture Magnetotelluric Project (AusLAMP)
DOI: 10.25914/cv81-ys06
title: Magnetotelluric surveys of Maralinga and the Far West Coast, South Australia as part of the Australian Lithospheric Architecture Magnetotelluric Project (AusLAMP)
DOI: 10.25914/1ncb-xp10
title: Magnetotelluric surveys of the Eyre Peninsula and Kangaroo Island, South Australia as part of the Australian Lithospheric Architecture Magnetotelluric Project (AusLAMP) Extension
DOI: 10.6084/m9.figshare.22259449
title: Supplemental Table 6: Human Orthologs of Moderate CH Goat DEG

description: Goat genes were converted to human orthologs via g:Orth function within gProfiler2 R package (Raudvere et al., 2019)
DOI: 10.6084/m9.figshare.22259449.v1
title: Supplemental Table 5: Human Orthologs of Moderate CH Goat DEG

description: Goat genes were converted to human orthologs via g:Orth function within gProfiler2 R package (Raudvere et al., 2019)
DOI: 10.25914/4d3e-4696
title: Magnetotelluric surveys of Maralinga and the Far West Coast, South Australia as part of the Australian Lithospheric Architecture Magnetotelluric Project (AusLAMP) (packed raw time series archive)
DOI: 10.25914/zshj-dx90
title: Magnetotelluric surveys of the Eyre Peninsula and Kangaroo Island, South Australia as part of the Australian Lithospheric Architecture Magnetotelluric Project (AusLAMP) Extension (packed raw time series archive)
DOI: 10.6084/m9.figshare.22259407
title: Supplemental Table 5: Human Orthologs of Mild CH Goat DEG

description: Goat genes were converted to human orthologs via g:Orth function within gProfiler2 R package (Raudvere<strong> </strong>et al., 2019)
DOI: 10.6084/m9.figshare.22259407.v1
title: Supplemental Table 4: Human Orthologs of Mild CH Goat DEGs

description: Goat genes were converted to human orthologs via g:Orth function within gProfiler2 R package (Raudvere<strong> </strong>et al., 2019)
DOI: 10.18739/a2vq2sc1v
title: Timelapse photos of Johns Hopkins Inlet iceberg habitat, Glacier Bay National Park, Alaska, 2021

description: Camera image are available at: https://arcticdata.io/data/10.18739/A2W08WH8M Tidewater glacier fjords are highly dynamic environments that are affected by several glaciological and oceanographic processes: (i) subglacial discharge creates upwelling plumes that drive estuarine circulation and promote submarine melting of glaciers and icebergs, (ii) iceberg calving, which is affected by submarine melting, is a stochastic energy source that mixes near-glacier waters and produces waves that crash on shore and cause icebergs to capsize, and (iii) motion of icebergs and fjord waters are affected by winds, tides, and subglacial discharge. Numerous species reside in tidewater glacier fjords, including harbor seals, which seasonally aggregate in fjords and use ice habitat for critical life functions including pupping, molting, and foraging. Seals that haul-out on icebergs during the pupping and molting seasons take longer and deeper dives for feeding than those that use terrestrial haul-outs, but may acquire higher quality food. Additionally, icebergs do not flood during high tide, which increases the amount of time that seals can remain hauled-out and that pups can spend nursing, thus increasing energetic intake. Many basic questions remain unanswered, and the energy costs of coping with a constantly evolving landscape are unknown. This project addresses these deficiencies by investigating the temporal and spatial variability of seal habitat in Johns Hopkins Inlet, Glacier Bay, by synthesizing aerial surveys with high-rate time-lapse photogrammetry. This dataset consists of high-rate (1 photo per minute) time-lapse photos of Johns Hopkins Inlet that were acquired in summer 2021 and RINEX files from GNSS surveys of the camera tripods.
DOI: 10.48420/22795928
title: Freeze-casting of Ti<sub>3</sub>C<sub>2</sub> MXene suspension III

description: Freeze-casting of Ti3C2Tz aqueous nanoparticle suspensions to give well-aligned nanoparticles in a sample within target dimensions and tolerances. <br> For full experimental details and a description of uploaded files, see uploaded .pdf.
DOI: 10.48420/22795928.v1
title: Freeze-casting of Ti<sub>3</sub>C<sub>2</sub> MXene suspension III

description: Freeze-casting of Ti3C2Tz aqueous nanoparticle suspensions to give well-aligned nanoparticles in a sample within target dimensions and tolerances. <br> For full experimental details and a description of uploaded files, see uploaded .pdf.
DOI: 10.5281/zenodo.7916346
title: Scanorama datasets

description: Data for Scanorama All of the data used in the original paper "Hie, B., Bryson, B. & Berger, B. Efficient integration of heterogeneous single-cell transcriptomes using Scanorama. <em>Nat Biotechnol</em> <strong>37</strong>, 685-691 (2019)".
DOI: 10.5281/zenodo.7916345
title: Scanorama datasets

description: Data for Scanorama All of the data used in the original paper "Hie, B., Bryson, B. & Berger, B. Efficient integration of heterogeneous single-cell transcriptomes using Scanorama. <em>Nat Biotechnol</em> <strong>37</strong>, 685-691 (2019)".
DOI: 10.6084/m9.figshare.22799180
title: Rekapitulasi Survei Mahasiswa Tentang Topik Skripsi di Prodi Pendidikan Teknik Mesin

description: Dokumen ini adalah rekapitulasi hasil survei terhadap mahasiswa Prodi Pendidikan Teknik Mesin Universitas Negeri Medan tahun angkatan 2019. Survei ini bertujuan untuk mengetahui kebermanfaatan ChatGPT sebagai solusi alternatif untuk menemukan topik skripsi bagi mahasiswa yang belum memiliki topik skripsi sesuai dengan bidangnya.
DOI: 10.6084/m9.figshare.22583749
title: Supplemental Table 1: Summary of Quality Control of Sequence

description: Summary of quality control metrics of raw sequencing data obtained from FastQC application. Alias: sample names; Seq.length: sequence length; GC(%): percentage of GC content; Dup(%): percentage of duplicate reads; Total Reads: Total number of reads obtained; Total Read pairs: Total number of read pairs; Mapped Read Pairs: Number of reads that mapped to either the genome or junction reference database; Mapped Read pairs (Junction): Mapped Junction Reads and percentage (Mapped Junction Reads/Total number of reads); Gene counts: Number of reads mapped to a gene; Exon counts: Number of reads mapped to an exon. Analysis provided by Mellowes Center for Genomic Sciences and Precisions Medicine at the Medical College of Wisconsin.