cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.21227/p714-b879
title: Dialogue Dataset generated by GPT4

description: we consider GPT-4 to generate dialogues according to designed causal structures. Specifically, we, for simplicity, assumed all dialogues are composed of 4 utterances rotating from 2 speakers and designed 4 causal structures to manifest different causal relationships. Along with the designed generating rules according to 4 causal structures, we adopted gpt-4-0314 and Chat Completion api to commence dialogue generation. Below is an example dialogue of the Chain IV from our dataset:
1. Have you seen a dog around here recently?
2. I’m sorry, but I haven’t seen any dogs around here lately.
3. That’s okay, thank you for your time.
4. Excuse me, do you mind if I ask why you are looking for a dog?
DOI: 10.5281/zenodo.10491461
title: Data from: Analysis and detection of WireGuard traffic - dataset B

description: This is the data set for the thesis "Analysis and detection of WireGuard traffic" by Pavel Valach at CTU in Prague containing generated data used for classifying WireGuard traffic. It is also labeled into several classes to allow for traffic categorization.
DOI: 10.5281/zenodo.10491462
title: Data from: Analysis and detection of WireGuard traffic - dataset B

description: This is the data set for the thesis "Analysis and detection of WireGuard traffic" by Pavel Valach at CTU in Prague containing generated data used for classifying WireGuard traffic. It is also labeled into several classes to allow for traffic categorization.
DOI: 10.34740/kaggle/dsv/7386453
title: BBC News
DOI: 10.5281/zenodo.10183284
title: Magnetic Fabric of Freshly Consolidated Lacustrine Mudstones Constrains the "Present-Day" Strain Field

description: Paper data storage
DOI: 10.5281/zenodo.8361588
title: Magnetic Fabric of Freshly Consolidated Lacustrine Mudstones Constrains the "Present-Day" Strain Field

description: Paper data storage
DOI: 10.5281/zenodo.8361589
title: Magnetic Fabric of Freshly Consolidated Lacustrine Mudstones Constrains the "Present-Day" Strain Field

description: Paper data storage
DOI: 10.6084/m9.figshare.24986532
title: HSC17 Hercules practical course

description: Copy of the CC-BY published dataset: <br>STEFFENS Paul; DELLEA Greta; DENG Yue; DIETL Christopher; DJURADO David; GAMBINO Marianna; HEPTING Matthias; INKINEN JUHO; JAFARI Atefeh; LEFRANCOIS Emilie; LOPES SELVATI Ana Carolina; PANAHI Hamed; PEDERSEN Martin Nors; PRADIP Ramu; RANIERI Umbertoluca; ROSSI Matteo; SCHATTE Sarah; STANA Markus; TIMOSENKO Janis; VONESHEN David and ZBIRI Mohamed. (2014). HSC17 Hercules practical course. Institut Laue-Langevin (ILL) doi:10.5291/ILL-DATA.TEST-2385
DOI: 10.6084/m9.figshare.24986532.v1
title: HSC17 Hercules practical course

description: Copy of the CC-BY published dataset: <br>STEFFENS Paul; DELLEA Greta; DENG Yue; DIETL Christopher; DJURADO David; GAMBINO Marianna; HEPTING Matthias; INKINEN JUHO; JAFARI Atefeh; LEFRANCOIS Emilie; LOPES SELVATI Ana Carolina; PANAHI Hamed; PEDERSEN Martin Nors; PRADIP Ramu; RANIERI Umbertoluca; ROSSI Matteo; SCHATTE Sarah; STANA Markus; TIMOSENKO Janis; VONESHEN David and ZBIRI Mohamed. (2014). HSC17 Hercules practical course. Institut Laue-Langevin (ILL) doi:10.5291/ILL-DATA.TEST-2385
DOI: 10.18739/a2t14tr27
title: Greenland Ice Sheet solid ice discharge from 1986 through last month: Discharge

description: We present a 1986 through March 2020 estimate of Greenland Ice Sheet ice discharge. Our data include all discharging ice that flows faster than 100 meters per year (m yr−1) and are generated through an automatic and adaptable method, as opposed to conventional handpicked gates. We position gates near the present-year termini and estimate problematic bed topography (ice thickness) values where necessary. In addition to using annual time-varying ice thickness, our time series uses velocity maps that begin with sparse spatial and temporal coverage and end with near-complete spatial coverage and 12 day (d) updates to velocity. The 2010 through 2019 average ice discharge through the flux gates is ∼487±49 gigatonnes per year (Gt yr−1). The 10% uncertainty stems primarily from uncertain ice bed location (ice thickness). We attribute the ∼50 Gt yr−1 differences among our results and previous studies to our use of updated bed topography from BedMachine v3. Discharge is approximately steady from 1986 to 2000, increases sharply from 2000 to 2005, and then is approximately steady again. However, regional and glacier variability is more pronounced, with recent decreases at most major glaciers and in all but one region offset by increases in the northwest region through 2017 and in the southeast from 2017 through March 2020. As part of the journal's living archive option and our goal to make an operational product, all input data, code, and results from this study will be updated as needed (when new input data are available, as new features are added, or to fix bugs) and made available at https://doi.org/10.22008/promice/data/ice_discharge (Mankoff, 2020a) and at https://github.com/mankoff/ice_discharge (last access: 6 June 2020, Mankoff, 2020e).
 Mankoff, K. D., Solgaard, A., Colgan, W., Ahlstrøm, A. P., Khan, S. A., and Fausto, R. S.: Greenland Ice Sheet solid ice discharge from 1986 through March 2020, Earth Syst. Sci. Data, 12, 1367–1383, https://doi.org/10.5194/essd-12-1367-2020, 2020.
 Mankoff, Ken, 2020, "Greenland Ice Sheet solid ice discharge from 1986 through last month: Discharge", https://doi.org/10.22008/promice/data/ice_discharge/d/v02, GEUS Dataverse, V13
DOI: 10.25345/c5js9hk14
title: MassIVE MSV000093843 - The Antigen Presentation Landscape of Cytokine-Stressed Human Pancreatic Islets
title: MHC-I and MHC-II (HLA-DR, HLA-DQ, HLA-DP) bound peptide elution from cytokine treated human pancreatic islets and homologous spleen donors
DOI: 10.34740/kaggle/dsv/7386621
title: WallStreetBets 2022
DOI: 10.6084/m9.figshare.24645441
title: Differential Methylation Data for “Mixed patterns of intergenerational DNA methylation inheritance in <i>Acropora</i>"

description: Differentially Methylated Loci (DML) between each pair of adults and between offspring alleles. For methods and experimental design, see documentation in the analysis pipeline or the manuscript associated with this repository. The three .bed files are compatible with the BedGraph format; they can also be treated as tab-separated dataframes. The gbm <i> </i>and nogene files are subsets of the largest .bed file, consisting of gene body loci and intergenic loci, respectively. Metadata is in the metadata csv file.Most of the data in these files are duplicated across rows, with the exception of the delta_po and delta.se_po columns. As these are not necessary for most of the analyses, the data can be simplified in R by removing these columns (along with parent and role) then using dplyr::distinct().
DOI: 10.6084/m9.figshare.24645441.v1
title: Differential Methylation Data for “Mixed patterns of intergenerational DNA methylation inheritance in <i>Acropora</i>"

description: Differentially Methylated Loci (DML) between each pair of adults and between offspring alleles. For methods and experimental design, see documentation in the analysis pipeline or the manuscript associated with this repository. The three .bed files are compatible with the BedGraph format; they can also be treated as tab-separated dataframes. The gbm <i> </i>and nogene files are subsets of the largest .bed file, consisting of gene body loci and intergenic loci, respectively. Metadata is in the metadata csv file.Most of the data in these files are duplicated across rows, with the exception of the delta_po and delta.se_po columns. As these are not necessary for most of the analyses, the data can be simplified in R by removing these columns (along with parent and role) then using dplyr::distinct().
DOI: 10.5281/zenodo.10494615
title: seqs
DOI: 10.5281/zenodo.10494616
title: seqs
DOI: 10.6084/m9.figshare.24986769
title: T2T genome for Andrographis paniculata

description: T2T genome for Andrographis paniculata <br>
DOI: 10.6084/m9.figshare.24986769.v1
title: T2T genome for Andrographis paniculata

description: T2T genome for Andrographis paniculata <br>
DOI: 10.5281/zenodo.10477142
title: EMG-based biomechanical cybernetic control of an avatar robotic fish

description: The file 'EMG-ANN-Data.txt' comprises six columns of experimental data: 

1. Timing records obtained from the EMG measurement device (s).2. Electromyographic data, filtered to remove noise (micro-Volts).3, 4, 5, 6. The four outputs of the deep artificial neural network are represented in a binary numerical base as (y3, y2, y1, y0).

Data represent recognition of twelve upper limbs muscular gestures.
description: The file 'EMG-ANN-DecimalOutput.txt' contains same experimental data as 'EMG-ANN-Data.txt' but comprises 3 columns of data: time (s), EMG (micro-Volts), ANN's output in decimal numerical base.
description: The file t-Osc-ANN.txt' contains 3 columns of experimental data: time (s), fin-Oscilations (rad), the output of the ANN in decimal numerical base.

The series of behaviors, each lasting 6 seconds, includes: slow-thrusting, fast thrusting, slow right maneuvering, fast right maneuvering, slow thrusting, fast thrusting, slow left maneuvering, fast left maneuvering.

 
description: The text files 'R-Coil.txt' and 'L-Coil.txt' are each comprised of two columns: time (s), steps (0 or 1)

These data are steps functions that input the right/left sided solenoids.
DOI: 10.5281/zenodo.10477143
title: EMG-based biomechanical cybernetic control of an avatar robotic fish

description: The file 'EMG-ANN-Data.txt' comprises six columns of experimental data: 

1. Timing records obtained from the EMG measurement device (s).2. Electromyographic data, filtered to remove noise (micro-Volts).3, 4, 5, 6. The four outputs of the deep artificial neural network are represented in a binary numerical base as (y3, y2, y1, y0).

Data represent recognition of twelve upper limbs muscular gestures.
description: The file 'EMG-ANN-DecimalOutput.txt' contains same experimental data as 'EMG-ANN-Data.txt' but comprises 3 columns of data: time (s), EMG (micro-Volts), ANN's output in decimal numerical base.
description: The file t-Osc-ANN.txt' contains 3 columns of experimental data: time (s), fin-Oscilations (rad), the output of the ANN in decimal numerical base.

The series of behaviors, each lasting 6 seconds, includes: slow-thrusting, fast thrusting, slow right maneuvering, fast right maneuvering, slow thrusting, fast thrusting, slow left maneuvering, fast left maneuvering.

 
description: The text files 'R-Coil.txt' and 'L-Coil.txt' are each comprised of two columns: time (s), steps (0 or 1)

These data are steps functions that input the right/left sided solenoids.
DOI: 10.6084/m9.figshare.24986880
title: <b>Field pennycress (</b><b><i>Thlaspi arvense</i></b><b>)</b>

description: We sequenced and assembled <i>de novo</i> the chromosome-level pennycress genome of 527.3 Mb encoding 31,596 genes. Phylogenomic analyses based on 2,495 single-copy genes revealed that pennycress is closely related to <i>Eutrema salsugineum</i><i> </i>(estimated divergence 14.32-18.58 Mya),<i> </i>and both species form a sister clade to <i>Schrenkiella parvula</i>, and genus <i>Brassica</i>. Field pennycress contains the highest percentage (70.19%) of transposable elements in all reported genomes of Brassicaceae, with the retrotransposon proliferation in Middle Pleistocene being likely responsible for the expansion of genome size. Moreover, our analysis of 40 field pennycress samples in two high- and two low-elevation populations detected 1,256,971 high-quality single-nucleotide polymorphisms. Using three complementary selection tests, we detected 130 candidate naturally selected genes in the Qinghai-Tibet Plateau (QTP) populations, some of which are involved in DNA repair and the ubiquitin system and potential candidates involved in high altitude adaptation.<b> </b>Notably, we detected a single base mutation causing loss-of-function of the FLOWERING LOCUS C protein, responsible for the transition to early-flowering in high-elevation populations.
DOI: 10.6084/m9.figshare.24986811
title: <b>T</b><b>etraploid strawberry (</b><b><i>Fragaria moupinensis</i></b><b>)</b>

description: In order to identify the sex-determining region and gene (s), we sequenced and <i>de novo</i> assembled the female genome of <i>F</i>. <i>moupinensis</i> using 30.80 Gb of PacBio HiFi long reads (34.5X coverage), 151.03 Gb Illumina clean short reads (168.5X coverage), and 43.91 Gb of Hi-C reads (49.1X coverage) . The use of long and accurate HiFi reads coupled with high heterozygosity (5.23%) facilitated the assembly of fully phased haplotypes. This resulted in the generation of four complete haplotypic assemblies named "haplotype A/B/C/D", which were polished for two rounds to produce a tetraploid genome of 896.26 Mb with a contig N50 of 31.68 Mb. Evaluation of k-mers spectra in Smudgeplot revealed a distribution as AAAB (0.58) &gt; AABB (0.13), suggesting the genome of <i>F</i>. <i>moupinensis</i> is autotetraploid . Additionally, the application of Hi-C scaffolding resulted in anchoring 895.13 Mb (99.87%) of the contig sequences to 28 pseudo-chromosomes, with only ten gaps remaining.
DOI: 10.6084/m9.figshare.24986811.v1
title: <b>T</b><b>etraploid strawberry (</b><b><i>Fragaria moupinensis</i></b><b>)</b>

description: In order to identify the sex-determining region and gene (s), we sequenced and <i>de novo</i> assembled the female genome of <i>F</i>. <i>moupinensis</i> using 30.80 Gb of PacBio HiFi long reads (34.5X coverage), 151.03 Gb Illumina clean short reads (168.5X coverage), and 43.91 Gb of Hi-C reads (49.1X coverage) . The use of long and accurate HiFi reads coupled with high heterozygosity (5.23%) facilitated the assembly of fully phased haplotypes. This resulted in the generation of four complete haplotypic assemblies named "haplotype A/B/C/D", which were polished for two rounds to produce a tetraploid genome of 896.26 Mb with a contig N50 of 31.68 Mb. Evaluation of k-mers spectra in Smudgeplot revealed a distribution as AAAB (0.58) &gt; AABB (0.13), suggesting the genome of <i>F</i>. <i>moupinensis</i> is autotetraploid . Additionally, the application of Hi-C scaffolding resulted in anchoring 895.13 Mb (99.87%) of the contig sequences to 28 pseudo-chromosomes, with only ten gaps remaining.
DOI: 10.5281/zenodo.10494641
title: Model data and code in support of Appendix C of Azimrayat-Andrews et. al. Submitted to Environ. Res. Lett.

description: Model code and output described in Appendix C, "pulse experiments", of Azimrayat-Andrews et al., Submitted to ERL
DOI: 10.5281/zenodo.10494642
title: Model data and code in support of Appendix C of Azimrayat-Andrews et. al. Submitted to Environ. Res. Lett.

description: Model code and output described in Appendix C, "pulse experiments", of Azimrayat-Andrews et al., Submitted to ERL
DOI: 10.5281/zenodo.10494665
title: Improvement of Disastrous Extreme Precipitation Forecasting in North China by Pangu-Weather AI-Driven Regional WRF Model

description: Due to the large amount of data, this paper only provides part of the model output.

2  sets of files:

Fig.2 has the data to make Figs.2

Fig.3 has the data to make Figs.3

Fig.4  has the data to make Figs.4
DOI: 10.5281/zenodo.10494666
title: Improvement of Disastrous Extreme Precipitation Forecasting in North China by Pangu-Weather AI-Driven Regional WRF Model

description: Due to the large amount of data, this paper only provides part of the model output.

2  sets of files:

Fig.2 has the data to make Figs.2

Fig.3 has the data to make Figs.3

Fig.4  has the data to make Figs.4
DOI: 10.6084/m9.figshare.23694732
title: Paternal transgenerational plasticity in <em>Paeonia</em> <em>ostii</em>: implications for maternal fitness and offspring performance

description:  A peony drought stress experiment tests the hypothesis that exposure of fathers to environmental stress (i) reduces maternal fitness and offspring performance when grown under nonstressful conditions, but (ii) mitigates the negative effects of environmental stress on mothers and offspring.
DOI: 10.6084/m9.figshare.24986862
title: Proteomics analysis of plasma total exosomes and placenta-derived exosomes in patients with gestational diabetes mellitus in the first and second trimesters

description: Proteomics analysis of plasma total exosomes and placenta-derived exosomes in patients with gestational diabetes mellitus in the first and second trimesters
DOI: 10.6084/m9.figshare.24986862.v1
title: Proteomics analysis of plasma total exosomes and placenta-derived exosomes in patients with gestational diabetes mellitus in the first and second trimesters

description: Proteomics analysis of plasma total exosomes and placenta-derived exosomes in patients with gestational diabetes mellitus in the first and second trimesters
DOI: 10.6084/m9.figshare.23694732.v1
title: Paternal transgenerational plasticity in <em>Paeonia</em> <em>ostii</em>: implications for maternal fitness and offspring performance

description:  A peony drought stress experiment tests the hypothesis that exposure of fathers to environmental stress (i) reduces maternal fitness and offspring performance when grown under nonstressful conditions, but (ii) mitigates the negative effects of environmental stress on mothers and offspring.
DOI: 10.25984/1986147
title: BuildingsBench: A Large-Scale Dataset of 900K Buildings and Benchmark for Short-Term Load Forecasting

description: The BuildingsBench datasets consist of: - Buildings-900K: A large-scale dataset of 900K buildings for pretraining models on the task of short-term load forecasting (STLF). Buildings-900K is statistically representative of the entire U.S. building stock. - 7 real residential and commercial building datasets for benchmarking two downstream tasks evaluating generalization: zero-shot STLF and transfer learning for STLF. Buildings-900K can be used for pretraining models on day-ahead STLF for residential and commercial buildings. The specific gap it fills is the lack of large-scale and diverse time series datasets of sufficient size for studying pretraining and finetuning with scalable machine learning models. Buildings-900K consists of synthetically generated energy consumption time series. It is derived from the NREL End-Use Load Profiles (EULP) dataset (see link to this database in the links further below). However, the EULP was not originally developed for the purpose of STLF. Rather, it was developed to "...help electric utilities, grid operators, manufacturers, government entities, and research organizations make critical decisions about prioritizing research and development, utility resource and distribution system planning, and state and local energy planning and regulation." Similar to the EULP, Buildings-900K is a collection of Parquet files and it follows nearly the same Parquet dataset organization as the EULP. As it only contains a single energy consumption time series per building, it is much smaller (~110 GB). BuildingsBench also provides an evaluation benchmark that is a collection of various open source residential and commercial real building energy consumption datasets. The evaluation datasets, which are provided alongside Buildings-900K below, are collections of CSV files which contain annual energy consumption. The size of the evaluation datasets altogether is less than 1GB, and they are listed out below: 1. ElectricityLoadDiagrams20112014 2. Building Data Genome Project-2 3. Individual household electric power consumption (Sceaux) 4. Borealis 5. SMART 6. IDEAL 7. Low Carbon London A README file providing details about how the data is stored and describing the organization of the datasets can be found within each data lake version under BuildingsBench.
DOI: 10.5439/2280801
title: Water Vapor Isotopic Composition During SAIL

description: Measurements of the stable isotopic composition of water vapor were collected between 21 November 2022 and 1 June 2023 at the SAIL campaign main site in Gothic Colorado.  The data were obtained using a Los Gatos Research Triple Water Vapor Isotopic Analyzer from a heated and insulated inlet mounted on the roof of the guest instrument van.  Standards were run periodically during the campaign and the data were corrected for humidity-dependent biases and were normalized to the VSMOW/SLAP scale.  Uncertainties in dD and d18O are estimated to be 2.28 permil and 0.38 permil, respectively.
DOI: 10.57931/2280839
title: Xanthos Output Dataset Under ISIMIP3b Selected CMIP6 Scenarios: 1850 - 2100

description: Overview Xanthos is an open-source hydrologic model, written in Python, designed to quantify and analyze global water availability. Xanthos simulates historical and future global water availability on a monthly time step at a spatial resolution of 0.5 geographic degrees. Xanthos was designed to be extensible and used by scientists that study global water supply and work with the Global Change Analysis Model (GCAM).   Details This dataset includes Xanthos outputs forced by the ISIMIP3b bias-adjusted CMIP6 climate forcing (1850 - 2100). There are 30 scenarios consists of 10 Coupled Model Intercomparison Project phase 6 (CMIP6) General Circulation Models (GCM) and 3 Shared Socioeconomic Pathways (SSP). Each folder is named as cmip6_{gcm}_{ensemble-member}_{ssp}. 10 CMIP6 GCMs: GFDL-ESM4, IPSL-CM6A-LR, MPI-ESM1-2-HR, MRI-ESM2-0, UKESM1-0-LL, CanESM5, CNRM-CM6-1, CNRM-ESM2-1, EC-Earth3, and MIROC6 3 SSP-RCP Scenarios: SSP1-2.6, SSP3-7.0, and SSP5-8.5   The table below summarizes the details of output variables within each scenario folder. | Output Variable                         | File Short Name              | Spatial Resolution    | Unit                 | | ----------------------------------------------- | -------------------------------------- | -------------------------------- | --------------------- | | Runoff                                         | q                                         | 0.5x0.5 degree           | km3/month   | | Runoff                                         | Basin_runoff                     | GCAM basin               | km3/month   | | Runoff                                         | Country_runoff                 | Country                       | km3/month   | | Runoff                                         | GCAMRegion_runoff       | GCAM region             | km3/month   | | Streamflow                                | avgchflow                          | 0.5x0.5 degree          | m3/second    | | Potential Evapotranspiration  | pet                                      | 0.5x0.5 degree           | km3/month   | | Actual Evapotranspiration      | aet                                      | 0.5x0.5 degree           | km3/month   | | Accessible Water                     | accessible_water             | GCAM basin               | km3/year       | | Hydropower Generation          | actual_hydro                     | GCAM region              | EJ/year          |
DOI: 10.57841/casdc.0003343
title: 小麦表观组学数据集