cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2d572x
title: CCDC 2209558: Experimental Crystal Structure Determination

description: Related Article: Alejandro Torres, Diego J. Vicent, Alba Collado, Mar Gómez-Gallego, Carmen Ramírez de Arellano, Miguel A. Sierra|2023|Organometallics|42|316|doi:10.1021/acs.organomet.2c00549
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5519/qd.8mutjvi8
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (7 records)
DOI: 10.6084/m9.figshare.22207765
title: Protection effect of elbow joint airbag on patients with upper limb fractures: a quasi-randomized controlled trial.docx

description: The difference in the circumferential diameter of the affected limbs from that of the corresponding part on the healthy side, the pain score, and the comfort score were measured and collected by an independent orthopedic specialist nurse（Yan）. These data are publicly available to evaluate the effect of the designed elbow joint airbag protection device used in patients with upper arm fractures. Patients and their families were informed of the purposes and procedures of the study and signed written informed consent prior to participation. They have rights to terminate their participation at any time throughout the study process without being penalized. Finally, researchers also assured that their names and other personal information would remain confidential, and the collected data would be used only for the purpose of research.
DOI: 10.6084/m9.figshare.22207765.v1
title: Protection effect of elbow joint airbag on patients with upper limb fractures: a quasi-randomized controlled trial.docx

description: The difference in the circumferential diameter of the affected limbs from that of the corresponding part on the healthy side, the pain score, and the comfort score were measured and collected by an independent orthopedic specialist nurse（Yan）. These data are publicly available to evaluate the effect of the designed elbow joint airbag protection device used in patients with upper arm fractures. Patients and their families were informed of the purposes and procedures of the study and signed written informed consent prior to participation. They have rights to terminate their participation at any time throughout the study process without being penalized. Finally, researchers also assured that their names and other personal information would remain confidential, and the collected data would be used only for the purpose of research.
DOI: 10.5519/qd.zcluawe4
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (16 records)
DOI: 10.34740/kaggle/dsv/5097066
title: 🇺🇦 Ukraine Conflict Twitter Dataset
DOI: 10.25582/data.2022-03.2447003/1931951
title: Data for EMSL Project 51644 from March 2022
DOI: 10.25582/data.2022-03.2447117/1932526
title: Data for EMSL Project 51605 from March 2022
DOI: 10.25582/data.2022-03.2447079/1932689
title: Data for EMSL Project 51575 from March 2022
DOI: 10.34740/kaggle/dsv/5095789
title: Human Activity Recognition (HAR) Dataset (AMU-HAR)
DOI: 10.11577/1959129
title: Structural resolution of a small organic molecule by serial X-ray free-electron laser and electron crystallography

description: Please check the README file for more information about the dataset.
DOI: 10.5439/1959167
title: TRACER-MAP AMS Measurement

description: Aerosol composition was measured by using the high resolution time-of-flight aerosol mass spectrometer (HR ToF-AMS). The data were collected at five different sites (AMF1, Aldine, University of Houston (UH), Jones Forest (JF), San Jacinto Battleground (BG)) from July to August, 2022. Dataset includes time series of five species of aerosol composition: Organic, sulfate (SO4), nitrate (NO3), ammonium (NH4), chlorine (Chl)
DOI: 10.25584/1959185
title: Distributed Wind Project Database

description: The PNNL research team continually collects cost, incentive, generation, and customer data from turbine manufacturers, operations and maintenance providers, state and federal agencies, and other stakeholders for distributed wind projects installed in the United States. These data are critical for identifying trends, opportunities for growth, and prioritizing investments for both WETO and industry stakeholders. Making this information available allows interested parties to better understand distributed wind market trends and characteristics.
DOI: 10.26180/22207579.v1
title: Spatially Resolved Transcriptomics Exploration in 3D Desktop and Virtual Reality Environments with VR-Omics - Test data

description: Test data to be used with VR-Omics. The data has been already processed using the VR-Omics Automated Workflow.
DOI: 10.34740/kaggle/dsv/4035392
title: hand_dataset_first
DOI: 10.26188/22208026
title: Genome assembly data for two strains of Ophiocordyceps robertsii

description: Genome assemblies, gene and protein predictions and associated .gff files for two strains of the fungus <em>Ophiocordyceps roberstii</em>.
DOI: 10.26188/22208026.v1
title: Genome assembly data for two strains of Ophiocordyceps robertsii

description: Genome assemblies, gene and protein predictions and associated .gff files for two strains of the fungus <em>Ophiocordyceps roberstii</em>.
DOI: 10.6084/m9.figshare.22208248
title: The pulsed effects of wolf reintroduction on the carnivore community of Isle Royale

description: Files necessary for the analyses of our publication.
DOI: 10.6084/m9.figshare.22208359
title: Dataset

description: <strong>Date Document</strong> was used for analyses. The format of the file provided was “.sav”. All questions have been scored in reverse and the total score is calculated.
DOI: 10.6084/m9.figshare.22208578
title: Dataset

description: <strong>Date Document</strong> was used for analyses. The format of the file provided was “.sav”. All questions have been scored in reverse and the total score is calculated.
DOI: 10.6084/m9.figshare.22208578.v1
title: Dataset

description: <strong>Date Document</strong> was used for analyses. The format of the file provided was “.sav”. All questions have been scored in reverse and the total score is calculated.
DOI: 10.6084/m9.figshare.12691913
title: A Mesh-Based Partitioning Algorithm for Decreasing Conservatism in Solving BMI Problems

description: A Mesh-Based Partitioning Algorithm to solve Bilinear Matrix Inequality problems (BMIs) is proposed in the following paper. - H. Javanmardi, M. Dehghani, M. Mohammadi, and M.R. Hesamzadeh, "A Mesh-Based Partitioning Algorithm for Decreasing Conservatism in Solving BMI Problems", Accepted to be published at Optimal Control Applications and methods. The main idea is to divide the solution space of a non-convex BMI problem into smaller parts in the form of simplexes through meshing the space. In each simplex, only the concave part of BMI constraints is approximated by piecewise affine matrix, which eventually leads to a convex sub-problem. After that, the feasible solution can be easily obtained in each simplex through the Linear Matrix Inequality (LMI) optimization. The detailed results of solving output feedback controller design problem in the form of BMI exploiting the novel mesh method is attached.
DOI: 10.6084/m9.figshare.22208782
title: Tree growth is correlated with hydraulic efficiency and safety across 22 tree species in a subtropical karst forest

description: A karst forest is a habitat where access to soil water can be challenging for plants. Thus, safe and efficient xylem water transport and large internal water storage may benefit tree growth. In this study, we selected 22 tree species from a primary subtropical karst forest in southern China and measured their xylem anatomical traits, saturated water content, hydraulic conductivity, and embolism resistance. Additionally, we monitored diameter growth in 440 individual trees of various sizes over three consecutive years. Our objective was to analyze the relationships among xylem structure, hydraulic efficiency, safety, water storage, and growth of karst tree species. The results showed structural but no significant hydraulic trait differences between deciduous and evergreen species. Large vessel diameter, paratracheal parenchyma, and high saturated water content correlated with high xylem hydraulic conductivity. Embolism resistance was not correlated with studied anatomical traits, and no trade-off with hydraulic conductivity was observed. In small trees (5-15 cm diameter at breast height), diameter growth rate was independent of hydraulic traits. In large trees (&gt; 15 cm diameter at breast height), high hydraulic conductivity and high embolism resistance accounted for high diameter growth rate. From lower to greater embolism resistance, the size-growth relationship shifted from growth deceleration to acceleration with increasing tree size in eight of the 22 species. Our study highlights the vital contributions of xylem hydraulic efficiency and safety to growth rate and dynamics in karst tree species; therefore, we strongly recommend their integration into trait-based forest dynamic models.
DOI: 10.5281/zenodo.5826274
title: AGC archives of human and SARS-CoV-2 genomes

description: AGC is a tool to compress a collection of similar genomes. This Zenodo record provides pre-built AGC archives of several datasets: File "HPRC-yr1.agc" contains CHM13 and 94 haploid human assemblies released by HPRC in 2021. The telomere-to-telomere CHM13 v1.1 plus chrY from GRCh38 is used as the reference genome. File "sars-cov-2_ncbi-620k.agc" contains 619,750 complete SARS-CoV-2 genomes with NC_045512.2 as the reference. It was created with AGC command line "agc create -cb10000 -s5000". SARS-CoV-2 genomes were downloaded from NCBI at the end of year 2021. The original FASTA is provided as "sars-cov-2_ncbi-620k.fa.xz".
DOI: 10.5281/zenodo.7694116
title: AGC archives of human and SARS-CoV-2 genomes

description: AGC is a tool to compress a collection of similar genomes. This Zenodo record provides pre-built AGC-3.0 archives of several datasets: File "HPRC-yr1.agc" contains CHM13 and 94 haploid human assemblies released by HPRC in 2021. The telomere-to-telomere CHM13 v2 plus chrY from GRCh38 is used as the reference genome. File "sars-cov-2_ncbi-620k.agc" contains 619,750 complete SARS-CoV-2 genomes with NC_045512.2 as the reference. It was created with AGC command line "agc create -cb10000 -s3000". SARS-CoV-2 genomes were downloaded from NCBI at the end of year 2021. The original FASTA is provided as "sars-cov-2_ncbi-620k.fa.xz".
DOI: 10.5281/zenodo.5826273
title: AGC archives of human and SARS-CoV-2 genomes

description: AGC is a tool to compress a collection of similar genomes. This Zenodo record provides pre-built AGC-3.0 archives of several datasets: File "HPRC-yr1.agc" contains CHM13 and 94 haploid human assemblies released by HPRC in 2021. The telomere-to-telomere CHM13 v2 plus chrY from GRCh38 is used as the reference genome. File "sars-cov-2_ncbi-620k.agc" contains 619,750 complete SARS-CoV-2 genomes with NC_045512.2 as the reference. It was created with AGC command line "agc create -cb10000 -s3000". SARS-CoV-2 genomes were downloaded from NCBI at the end of year 2021. The original FASTA is provided as "sars-cov-2_ncbi-620k.fa.xz".
DOI: 10.26036/cnp0004099
title: The Study of CD2AP in the Pathogenesis of Alzheimer's Disease

description: Several single nucleotide polymorphisms in the CD2AP gene have been associated with Alzheimer's disease. This dataset contains the RNA-Seq of mus musculus_7 m male Control,CD2AP_cKO,FAD,FAD_CD2AP_cKO hippocampus. Purified total RNA from hippocampal tissues were used to RNA-seq preparation. The cDNA was enriched by PCR amplification and sequenced on the DNB SEQ platform of Beijing Genomics Institute.
DOI: 10.26036/cnp0004105
title: Long-term positioning networked agricultural experiment

description: The database of soil metagenomics which have been monitored and collected continuously under natural conditions in Huanghuaihai Region of China.
DOI: 10.26188/19978076
title: Supp_Tables

description: Supplementary tables
DOI: 10.26188/19978076.v5
title: Supp_Tables

description: Supplementary tables
DOI: 10.26188/19978076.v4
title: Supp_Tables

description: Supplementary tables
DOI: 10.6084/m9.figshare.21823455.v26
title: The ReptileEvolution.com Project

description: Taxon exclusion is the number one problem currently vexing paleontology. The search for pterosaur, turtle, bat, snake, whale, reptile and tetrapod ancestors continues to unnecessarily befuddle paleontologists who continue to work from cherry-picked, textbook and traditional taxon lists that overlook and omit pertinent taxa. That’s why the large reptile tree (LRT), the nearly completely resolved cladogram at the heart of www.ReptileEvolution.com, includes 2212 taxa. Larger taxon numbers minimize taxon exclusion issues. Results indicate the simple act of adding taxa resolves all phylogenetic issues.
DOI: 10.5281/zenodo.7693715
title: Materials Science Optimization Benchmark Dataset for High-dimensional, Multi-objective, Multi-fidelity Optimization of CrabNet Hyperparameters

description: Benchmarks are an essential driver of progress in scientific disciplines. Ideal benchmarks mimic real-world tasks as closely as possible, where insufficient difficulty or applicability can stunt growth in the field. Benchmarks should also have sufficiently low computational overhead to promote accessibility and repeatability. The goal is then to win a "Turing test" of sorts by creating a surrogate model that is indistinguishable from the ground truth observation (at least within the dataset bounds that were explored), necessitating a large amount of data. In materials science and chemistry, industry-relevant optimization tasks are often hierarchical, noisy, multi-fidelity, multi-objective, high-dimensional, and non-linearly correlated while exhibiting mixed numerical and categorical variables subject to linear and non-linear constraints. To complicate matters, unexpected, failed simulation or experimental regions may be present in the search space. In this study, 173219 quasi-random hyperparameter combinations were generated across 23 hyperparameters and used to train CrabNet on the Matbench experimental band gap dataset. The results were logged to a free-tier shared MongoDB Atlas dataset. This study resulted in a regression dataset mapping hyperparameter combinations (including repeats) to MAE, RMSE, computational runtime, and model size for CrabNet model trained on the Matbench experimental band gap benchmark task1. This dataset is used to create a surrogate model as close as possible to running the actual simulations by incorporating heteroskedastic noise. Failure cases for bad hyperparameter combinations were excluded via careful construction of the hyperparameter search space, and so were not considered as was done in prior work. For the regression dataset, percentile ranks were computed within each of the groups of identical parameter sets to enable capturing heteroskedastic noise. This contrasts with a more traditional approach that imposes a-priori assumptions such as Gaussian noise, e.g., by providing a mean and standard deviation. A similar approach can be applied to other benchmark datasets to bridge the gap between optimization benchmarks with low computational overhead and realistically complex, real-world optimization scenarios.
DOI: 10.5281/zenodo.7693716
title: Materials Science Optimization Benchmark Dataset for High-dimensional, Multi-objective, Multi-fidelity Optimization of CrabNet Hyperparameters

description: Benchmarks are an essential driver of progress in scientific disciplines. Ideal benchmarks mimic real-world tasks as closely as possible, where insufficient difficulty or applicability can stunt growth in the field. Benchmarks should also have sufficiently low computational overhead to promote accessibility and repeatability. The goal is then to win a "Turing test" of sorts by creating a surrogate model that is indistinguishable from the ground truth observation (at least within the dataset bounds that were explored), necessitating a large amount of data. In materials science and chemistry, industry-relevant optimization tasks are often hierarchical, noisy, multi-fidelity, multi-objective, high-dimensional, and non-linearly correlated while exhibiting mixed numerical and categorical variables subject to linear and non-linear constraints. To complicate matters, unexpected, failed simulation or experimental regions may be present in the search space. In this study, 173219 quasi-random hyperparameter combinations were generated across 23 hyperparameters and used to train CrabNet on the Matbench experimental band gap dataset. The results were logged to a free-tier shared MongoDB Atlas dataset. This study resulted in a regression dataset mapping hyperparameter combinations (including repeats) to MAE, RMSE, computational runtime, and model size for CrabNet model trained on the Matbench experimental band gap benchmark task1. This dataset is used to create a surrogate model as close as possible to running the actual simulations by incorporating heteroskedastic noise. Failure cases for bad hyperparameter combinations were excluded via careful construction of the hyperparameter search space, and so were not considered as was done in prior work. For the regression dataset, percentile ranks were computed within each of the groups of identical parameter sets to enable capturing heteroskedastic noise. This contrasts with a more traditional approach that imposes a-priori assumptions such as Gaussian noise, e.g., by providing a mean and standard deviation. A similar approach can be applied to other benchmark datasets to bridge the gap between optimization benchmarks with low computational overhead and realistically complex, real-world optimization scenarios.
DOI: 10.5281/zenodo.7694268
title: Materials Science Optimization Benchmark Dataset for High-dimensional, Multi-objective, Multi-fidelity Optimization of CrabNet Hyperparameters

description: Benchmarks are an essential driver of progress in scientific disciplines. Ideal benchmarks mimic real-world tasks as closely as possible, where insufficient difficulty or applicability can stunt growth in the field. Benchmarks should also have sufficiently low computational overhead to promote accessibility and repeatability. The goal is then to win a "Turing test" of sorts by creating a surrogate model that is indistinguishable from the ground truth observation (at least within the dataset bounds that were explored), necessitating a large amount of data. In materials science and chemistry, industry-relevant optimization tasks are often hierarchical, noisy, multi-fidelity, multi-objective, high-dimensional, and non-linearly correlated while exhibiting mixed numerical and categorical variables subject to linear and non-linear constraints. To complicate matters, unexpected, failed simulation or experimental regions may be present in the search space. In this study, 173219 quasi-random hyperparameter combinations were generated across 23 hyperparameters and used to train CrabNet on the Matbench experimental band gap dataset. The results were logged to a free-tier shared MongoDB Atlas dataset. This study resulted in a regression dataset mapping hyperparameter combinations (including repeats) to MAE, RMSE, computational runtime, and model size for CrabNet model trained on the Matbench experimental band gap benchmark task1. This dataset is used to create a surrogate model as close as possible to running the actual simulations by incorporating heteroskedastic noise. Failure cases for bad hyperparameter combinations were excluded via careful construction of the hyperparameter search space, and so were not considered as was done in prior work. For the regression dataset, percentile ranks were computed within each of the groups of identical parameter sets to enable capturing heteroskedastic noise. This contrasts with a more traditional approach that imposes a-priori assumptions such as Gaussian noise, e.g., by providing a mean and standard deviation. A similar approach can be applied to other benchmark datasets to bridge the gap between optimization benchmarks with low computational overhead and realistically complex, real-world optimization scenarios.
DOI: 10.25345/c5rx93p84
title: MassIVE MSV000091399 - Functional and proteomic insights into Aculeata venoms
title: Shotgun proteomics of whole venom and excised bands from SDS-PAGE gels
DOI: 10.34740/kaggle/dsv/5097590
title: 171k product review with Sentiment Dataset
DOI: 10.6084/m9.figshare.21665123
title: MNS: noise

description: Dataset
DOI: 10.6084/m9.figshare.21665123.v2
title: MNS: noise

description: Dataset
DOI: 10.6084/m9.figshare.22209187
title: RNA sequencing for ZIC2 overexpression group vs. control group

description: RNA sequencing for ZIC2 overexpression group vs. control group
DOI: 10.6084/m9.figshare.22209187.v1
title: RNA sequencing for ZIC2 overexpression group vs. control group

description: RNA sequencing for ZIC2 overexpression group vs. control group
DOI: 10.15151/esrf-es-1069361361
title: Oxynitride thin films a roadmap to optospintronics : N:BaTiO3/CoFe2O4 structures

description: In the present project, we propose to investigate the element specific magnetic properties of single crystalline SrTiO3/La2/3Sr1/3MnO3/N:BaTiO3/CoFe2O4(001) heterostructure grown by atomic nitrogen and oxygen plasmas assisted molecular beam epitaxy (MBE). These full oxide artificial multiferroic structures have great potential for new applications based on visible light absorption.
DOI: 10.5281/zenodo.7388893
title: Global long-term (2010-2020) daily seamless fused XCO2 and XCH4 from GOSAT, OCO-2, and CAMS-EGG4

description: A novel spatiotemporally self-supervised fusion method is proposed to establish long-term daily seamless XCO<sub>2</sub> and XCH<sub>4</sub> products from 2010 to 2020 over the globe at grids of 0.25°. More details are provided in https://doi.org/10.5194/essd-2023-28.
DOI: 10.5281/zenodo.7388892
title: Global long-term (2010-2020) daily seamless fused XCO2 and XCH4 from GOSAT, OCO-2, and CAMS-EGG4

description: A novel spatiotemporally self-supervised fusion method is proposed to establish long-term daily seamless XCO<sub>2</sub> and XCH<sub>4</sub> products from 2010 to 2020 over the globe at grids of 0.25°. More details are provided in https://doi.org/10.5194/essd-2023-28.
DOI: 10.6084/m9.figshare.22209175
title: Children in Street Situation The Cause, Consequence, and Legal Approach in Context of Bangladesh

description: This article identified the key reasons behind children’s street hood and their increasing numbers, particularly in city areas of Bangladesh. This explorative socio-legal study also analyzes the legal approaches regarding the abuse of street children.
DOI: 10.6084/m9.figshare.22209175.v1
title: Children in Street Situation The Cause, Consequence, and Legal Approach in Context of Bangladesh

description: This article identified the key reasons behind children’s street hood and their increasing numbers, particularly in city areas of Bangladesh. This explorative socio-legal study also analyzes the legal approaches regarding the abuse of street children.
DOI: 10.5519/qd.q1otsq0x
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.5519/qd.sh0rygq2
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.5519/qd.ukdyvzet
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (130 records)
DOI: 10.6084/m9.figshare.22199992
title: Source data of "Non-thermal escape of sulfur and oxygen on Io driven by photochemistry"

description: This dataset includes the densities of Io’s neutral atmospheric and ionospheric species and hot neutral production rates and escape probabilities.