cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.14844273
title: UGV_platform_sensor_dataset_VIAS_2nd collection round [2]

description:  







Description



The dataset contains RGB-D image streams and 3D LIDAR point cloud gathered in the second visit to VIAS metro facilities. 3 Intel D-435f and LIVOX 3D LIDAR were mounted on wheeled platform mounted in rails. To visualize the gathered data in RVIZ follow the next steps:



Launch roscore:  $ roscore

Publish static livox frame:  $ rosrun tf static_transform_publisher 0 0 0 0 0 0 1 camera1_link livox_frame 100

Play in loop desired rosbag:  $ rosbag play 2024-09-17-XX-XX-XX_X.bag -l 

Launch RVIZ and open vias.rviz config in settings: $ rviz


The following topics have been recorded on the bag files:

Intel camera looking at rail (bolts and clips) is camera 3.



/camera3/aligned_depth_to_color/camera_info

/camera3/aligned_depth_to_color/image_raw

/camera3/aligned_depth_to_color/image_raw/compressed

/camera3/aligned_depth_to_color/image_raw/compressedDepth

/camera3/color/camera_info

/camera3/color/image_raw

/camera3/color/image_raw/compressed

/camera3/color/metadata

/camera3/depth/camera_info

/camera3/depth/image_rect_raw

/camera3/depth/image_rect_raw/compressed

/camera3/depth/image_rect_raw/compressedDepth

/camera3/depth/metadata

/camera3/realsense2_camera_manager/bond


Point-cloud data from LIVOX 3D Lidar can be seen in: 



/livox/imu

/livox/lidar
DOI: 10.5281/zenodo.14839707
title: unimpeded: rlcdm bicep_keck_2018+des_y1.joint

description: cosmological model:rlcdm, dataset:bicep_keck_2018+des_y1.joint
DOI: 10.5281/zenodo.14839708
title: unimpeded: rlcdm bicep_keck_2018+des_y1.joint

description: cosmological model:rlcdm, dataset:bicep_keck_2018+des_y1.joint
DOI: 10.34740/kaggle/dsv/10718950
title: METAVERSE GAIT AUTHENTICATION DATASET (MGAD)
DOI: 10.5281/zenodo.14839698
title: unimpeded: rlcdm bao.sdss_dr16+des_y1.joint

description: cosmological model:rlcdm, dataset:bao.sdss_dr16+des_y1.joint
DOI: 10.5281/zenodo.14839699
title: unimpeded: rlcdm bao.sdss_dr16+des_y1.joint

description: cosmological model:rlcdm, dataset:bao.sdss_dr16+des_y1.joint
DOI: 10.6084/m9.figshare.28387214
title: Intelligent Manufacturing and Default Risk

description: code and data
DOI: 10.6084/m9.figshare.28387214.v1
title: 智能制造和违约风险

description: code and data
DOI: 10.5281/zenodo.14848275
title: DArTseq genotypes for koalas across south-western Sydney and the Southern Highlands, Australia

description: Genotype data for the paper: "Low genetic diversity and high inbreeding in one of the last chlamydia-free strongholds for New South Wales koalas" published in Conservation Genetics. 

Koala samples were collected across south-western Sydney and the Southern Highlands in Australia and sequenced using DArTseq (Diversity Arrays Technology PL, Canberra), a form of reduced representation seqencing across four sequencing runs. DNA samples were digested using the enzyme combination PstI-SphI and fragments were sequenced on a HiSeq 2500 or NovaSeq 6000 as 77-138 base pair single-end reads.

These genotypes are the result of DArT's proprietary pipeline of SNP markers, both aligned to the koala reference genome (GCA_002099425.1_phaCin_unsw_v4.1) and assembled de novo. Information columns include the reference allele, alternate allele, genomic position, call rate, average reproducibility (calculated as consistency in marker score between technical replicates performed by DArT [N = 91]), and the frequency of homozygotes and heterozygotes for 23,384 SNPs across 111 koalas.

Funding for this study was provided by the New South Wales Government Office of the Chief Scientist and Engineer for the Koala Genome Survey.
DOI: 10.5281/zenodo.14848276
title: DArTseq genotypes for koalas across south-western Sydney and the Southern Highlands, Australia

description: Genotype data for the paper: "Low genetic diversity and high inbreeding in one of the last chlamydia-free strongholds for New South Wales koalas" published in Conservation Genetics. 

Koala samples were collected across south-western Sydney and the Southern Highlands in Australia and sequenced using DArTseq (Diversity Arrays Technology PL, Canberra), a form of reduced representation seqencing across four sequencing runs. DNA samples were digested using the enzyme combination PstI-SphI and fragments were sequenced on a HiSeq 2500 or NovaSeq 6000 as 77-138 base pair single-end reads.

These genotypes are the result of DArT's proprietary pipeline of SNP markers, both aligned to the koala reference genome (GCA_002099425.1_phaCin_unsw_v4.1) and assembled de novo. Information columns include the reference allele, alternate allele, genomic position, call rate, average reproducibility (calculated as consistency in marker score between technical replicates performed by DArT [N = 91]), and the frequency of homozygotes and heterozygotes for 23,384 SNPs across 111 koalas.

Funding for this study was provided by the New South Wales Government Office of the Chief Scientist and Engineer for the Koala Genome Survey.
DOI: 10.5281/zenodo.8128009
title: Fore wings of honey bees (Apis mellifera) from Kazakhstan

description: The dataset consists of 1067 fore wing images of honey bee (Apis mellifera) workers, which represent 71 colonies and 17 locations in Kazakhstan. The wing images are compressed in KZ-wing-images.zip. Raw coordinates of 19 landmarks marked on the wings are in file KZ-raw-coordinates.csv. Additional data, including geographic coordinates and resolution, is saved in the file KZ-data.csv.

For more information see:Temirbayeva, K., Torekhanov, A., Nuralieva, U., Sheralieva, Z., & Tofilski, A. (2023). In Search of Apis mellifera pomonella in Kazakhstan. Life, 13(9), 1860. https://doi.org/10.3390/life13091860
DOI: 10.5281/zenodo.8128010
title: Fore wings of honey bees (Apis mellifera) from Kazakhstan

description: The dataset consists of 1067 fore wing images of honey bee (Apis mellifera) workers, which represent 71 colonies and 17 locations in Kazakhstan. The wing images are compressed in KZ-wing-images.zip. Raw coordinates of 19 landmarks marked on the wings are in file KZ-raw-coordinates.csv. Additional data, including geographic coordinates and resolution, is saved in the file KZ-data.csv.

For more information see:Temirbayeva, K., Torekhanov, A., Nuralieva, U., Sheralieva, Z., & Tofilski, A. (2023). In Search of Apis mellifera pomonella in Kazakhstan. Life, 13(9), 1860. https://doi.org/10.3390/life13091860
DOI: 10.5281/zenodo.14840146
title: unimpeded: Nlcdm des_y1.joint+planck_2018_plik_nolens

description: cosmological model:Nlcdm, dataset:des_y1.joint+planck_2018_plik_nolens
DOI: 10.5281/zenodo.14840147
title: unimpeded: Nlcdm des_y1.joint+planck_2018_plik_nolens

description: cosmological model:Nlcdm, dataset:des_y1.joint+planck_2018_plik_nolens
DOI: 10.5281/zenodo.14579979
title: XPCS experimental dataset for SVD homomorphic compression

description: data0.npz: in situ stress relaxation of a silica colloidal glass 

data1.npz: silica filled rubber subjected to dynamic strain
DOI: 10.5281/zenodo.14579980
title: XPCS experimental dataset for SVD homomorphic compression

description: data0.npz: in situ stress relaxation of a silica colloidal glass 

data1.npz: silica filled rubber subjected to dynamic strain
DOI: 10.5281/zenodo.14840142
title: unimpeded: Nlcdm des_y1.joint+planck_2018_plik

description: cosmological model:Nlcdm, dataset:des_y1.joint+planck_2018_plik
DOI: 10.5281/zenodo.14840143
title: unimpeded: Nlcdm des_y1.joint+planck_2018_plik

description: cosmological model:Nlcdm, dataset:des_y1.joint+planck_2018_plik
DOI: 10.6084/m9.figshare.28387238
title: Near-field data for Figures 3 and 5

description: Data for Figure 3 contain line scans of the near-field images collected over continuous Fourier crystal. Data for Figure 5 is the raw near-field data of the hBN edge.
DOI: 10.5281/zenodo.14839943
title: unimpeded: lcdm des_y1.joint+planck_2018_plik

description: cosmological model:lcdm, dataset:des_y1.joint+planck_2018_plik
DOI: 10.5281/zenodo.14839944
title: unimpeded: lcdm des_y1.joint+planck_2018_plik

description: cosmological model:lcdm, dataset:des_y1.joint+planck_2018_plik
DOI: 10.5281/zenodo.14839935
title: unimpeded: walcdm bao.sdss_dr16+des_y1.joint

description: cosmological model:walcdm, dataset:bao.sdss_dr16+des_y1.joint
DOI: 10.5281/zenodo.14839936
title: unimpeded: walcdm bao.sdss_dr16+des_y1.joint

description: cosmological model:walcdm, dataset:bao.sdss_dr16+des_y1.joint
DOI: 10.6084/m9.figshare.28387268
title: Supplementary Material for: Microsurgical Treatment versus Endovascular Treatment for Ruptured Intracranial Aneurysms in Elderly Patients: A Multicenter Study in Northern China

description: Background: Management of ruptured intracranial aneurysms (RIAs) in elderly patients remains a major challenge in the treatment of cerebrovascular diseases. This study aims to provide a comprehensive analysis of the impact of microsurgical treatment (MST) and endovascular treatment (EVT) on the outcomes of elderly patients with RIAs in northern China.
Methods: We consecutively enrolled elderly patients with RIAs who underwent surgery in the Chinese Multicenter Cerebral Aneurysm Database (CMAD) from January 2017 to December 2020. In this study, in-hospital complications, survival, and functional outcomes were compared between MST and EVT after 1:1 propensity score matching (PSM). Kaplan-Meier survival analyses and Cox proportional hazards modeling identified factors associated with mortality in both groups. Logistic regression analyses identified 2-year survival-dependent risk factors, and subgroup analyses were conducted for key strata.
Results: 744 elderly patients with RIAs were enrolled in the study. 219 patients with MST after PSM were matched with 219 patients with EVT. Compared to EVT, MST had a higher 2-year mortality rate (32.8% vs. 20.5%, p=0.002), higher incidence of adverse discharge outcomes (48.4% vs. 32.4%, p=0.001), longer length of stay (LOS) (16 (12-24) vs. 15 (10-23), p=0.049), pneumonia (MST: 31.1%; EVT: 21.9%, p=0.030), and intracranial infection (9.6% vs. 2.7%, p=0.005). However, there was no difference in the 2-year survival-dependent outcome (22.7% vs 23.2%, p=0.924). Differences in risk factors for mortality and 2-year survival-dependent outcomes were observed between the MST and EVT groups in the elderly population. The negative association of EVT with risk of mortality was consistent across specific subgroups.
Conclusion: Elderly patients with RIAs who underwent EVT were significantly better than the MST group in terms of short-term functional outcomes, in-hospital complications, long-term survival, and LOS. However, there were no differences in the 2-year survival-dependent outcomes.
DOI: 10.6084/m9.figshare.28387268.v1
title: Supplementary Material for: Microsurgical Treatment versus Endovascular Treatment for Ruptured Intracranial Aneurysms in Elderly Patients: A Multicenter Study in Northern China

description: Background: Management of ruptured intracranial aneurysms (RIAs) in elderly patients remains a major challenge in the treatment of cerebrovascular diseases. This study aims to provide a comprehensive analysis of the impact of microsurgical treatment (MST) and endovascular treatment (EVT) on the outcomes of elderly patients with RIAs in northern China.
Methods: We consecutively enrolled elderly patients with RIAs who underwent surgery in the Chinese Multicenter Cerebral Aneurysm Database (CMAD) from January 2017 to December 2020. In this study, in-hospital complications, survival, and functional outcomes were compared between MST and EVT after 1:1 propensity score matching (PSM). Kaplan-Meier survival analyses and Cox proportional hazards modeling identified factors associated with mortality in both groups. Logistic regression analyses identified 2-year survival-dependent risk factors, and subgroup analyses were conducted for key strata.
Results: 744 elderly patients with RIAs were enrolled in the study. 219 patients with MST after PSM were matched with 219 patients with EVT. Compared to EVT, MST had a higher 2-year mortality rate (32.8% vs. 20.5%, p=0.002), higher incidence of adverse discharge outcomes (48.4% vs. 32.4%, p=0.001), longer length of stay (LOS) (16 (12-24) vs. 15 (10-23), p=0.049), pneumonia (MST: 31.1%; EVT: 21.9%, p=0.030), and intracranial infection (9.6% vs. 2.7%, p=0.005). However, there was no difference in the 2-year survival-dependent outcome (22.7% vs 23.2%, p=0.924). Differences in risk factors for mortality and 2-year survival-dependent outcomes were observed between the MST and EVT groups in the elderly population. The negative association of EVT with risk of mortality was consistent across specific subgroups.
Conclusion: Elderly patients with RIAs who underwent EVT were significantly better than the MST group in terms of short-term functional outcomes, in-hospital complications, long-term survival, and LOS. However, there were no differences in the 2-year survival-dependent outcomes.
DOI: 10.5281/zenodo.14848418
title: The raw data collected during the experimental process includes publish counts, digital health, institutions, countries, keywords, co-cited journals, published journals, authors, and co-cited data.
DOI: 10.5281/zenodo.14848419
title: The raw data collected during the experimental process includes publish counts, digital health, institutions, countries, keywords, co-cited journals, published journals, authors, and co-cited data.
DOI: 10.5281/zenodo.14795178
title: D1.3 DSC kinetics and SEM of Epoxy-MNP composites
DOI: 10.5281/zenodo.14795179
title: D1.3 DSC kinetics and SEM of Epoxy-MNP composites
DOI: 10.5281/zenodo.14795109
title: D1.3 Tear Strength data
DOI: 10.5281/zenodo.14795110
title: D1.3 Tear Strength data
DOI: 10.5281/zenodo.14844543
title: D1.1_DSC_metadata
DOI: 10.5281/zenodo.14844635
title: D1.1_thermal_conductivity_metadata
DOI: 10.5281/zenodo.14844713
title: D1.1_tensile_metadata
DOI: 10.5281/zenodo.14844714
title: D1.1_tensile_metadata
DOI: 10.5281/zenodo.14845349
title: D1.1_rheometry_metadata
DOI: 10.5281/zenodo.14837355
title: Quantifying High-Frequency Turbulence Energy in the Atmosphere and Its Impact on Near-Surface Diffusion: Parameterization Scheme and Validation in WRF-Chem

description: -------------------------
Content of the dataset
-------------------------
******  the experiment case (EXP) ;  the control case (CTR)  ******1. TKE.zip contains the vertical profile data of simulated TKE by CTR and EXP during the study period in the paper.2. Km.zip contains the vertical profile data of simulated Km by CTR and EXP during the study period in the paper.3. PM.zip contains the vertical profile data of simulated PM2.5 by CTR and EXP during the study period in the paper.4. NO2.zip contains the vertical profile data of simulated NO2 by CTR and EXP during the study period in the paper.5. Timerseries_Data.xlsx contains the observed and simulated data for timeseries of PM2.5 and NO2,and the vertical profile data of PM2.5 at the typical moments chosen in the paper.6. wrfbiochemi.tar.gz contains the biogenic emissions data for simulation both for CTR and EXP.7. wrffirechemi.tar.gz contains the biomass burning emissions data for simulation both for CTR and EXP.8. wrfchemi.tar.gz contains the anthropogenic emissions data for simulation both for CTR and EXP.9. The file module_bl_smascatke.F contains the main code of the improved HTMC correction factor, which is coupled to WRF-Chem and used by EXP. It is located in the phys/ directory and called by module_bl_boulac.F.-------------------------
Contact information
-------------------------

Zhenxin Liu
liuzhenxin@nuist.edu.cn
DOI: 10.5281/zenodo.14837356
title: test

description: -------------------------
Content of the dataset
-------------------------
******  the experiment case (EXP) ;  the control case (CTR)  ******1. TKE.rar contains the vertical profile data of simulated TKE by CTR and EXP during the study period in the paper.2. Km.rar contains the vertical profile data of simulated Km by CTR and EXP during the study period in the paper.3. PM2.rar contains the vertical profile data of simulated PM2.5 by CTR and EXP during the study period in the paper.4. NO2.rar contains the vertical profile data of simulated NO2 by CTR and EXP during the study period in the paper5. Timerseries_Data.xlsx contains the observed and simulated data for timeseries of PM2.5 and NO2,and the vertical profile data of PM2.5 at the typical moments chosen in the paper.6. wrfbiochemi.rar contains the biogenic emissions data for simulation both for CTR and EXP.7. wrffirechemi.rar contains the biomass burning emissions data for simulation both for CTR and EXP.8. wrfchemi.rar contains the Anthropogenic emissions data for simulation both for CTR and EXP.9. The file module_sf_pkuurban.F contains the main code of the improved HTMC correction factor, which is coupled to WRF-Chem and used by EXP. It is located in the phys/ directory and called by pbl_driver.F.-------------------------
Contact information
-------------------------

Zhenxin Liu
liuzhenxin@nuist.edu.cn
DOI: 10.5281/zenodo.14841057
title: Quantifying High-Frequency Turbulence Energy in the Atmosphere and Its Impact on Near-Surface Diffusion: Parameterization Scheme and Validation in WRF-Chem

description: -------------------------
Content of the dataset
-------------------------
******  the experiment case (EXP) ;  the control case (CTR)  ******1. TKE.zip contains the vertical profile data of simulated TKE by CTR and EXP during the study period in the paper.2. Km.zip contains the vertical profile data of simulated Km by CTR and EXP during the study period in the paper.3. PM.zip contains the vertical profile data of simulated PM2.5 by CTR and EXP during the study period in the paper.4. NO2.zip contains the vertical profile data of simulated NO2 by CTR and EXP during the study period in the paper.5. Timerseries_Data.xlsx contains the observed and simulated data for timeseries of PM2.5 and NO2,and the vertical profile data of PM2.5 at the typical moments chosen in the paper.6. wrfbiochemi.tar.gz contains the biogenic emissions data for simulation both for CTR and EXP.7. wrffirechemi.tar.gz contains the biomass burning emissions data for simulation both for CTR and EXP.8. wrfchemi.tar.gz contains the anthropogenic emissions data for simulation both for CTR and EXP.9. The file module_bl_smascatke.F contains the main code of the improved HTMC correction factor, which is coupled to WRF-Chem and used by EXP. It is located in the phys/ directory and called by module_bl_boulac.F.-------------------------
Contact information
-------------------------

Zhenxin Liu
liuzhenxin@nuist.edu.cn
DOI: 10.5281/zenodo.14839939
title: unimpeded: lcdm des_y1.joint+planck_2018_CamSpec_nolens

description: cosmological model:lcdm, dataset:des_y1.joint+planck_2018_CamSpec_nolens
DOI: 10.5281/zenodo.14839940
title: unimpeded: lcdm des_y1.joint+planck_2018_CamSpec_nolens

description: cosmological model:lcdm, dataset:des_y1.joint+planck_2018_CamSpec_nolens
DOI: 10.60656/d3b82657e9c74746
title: Custom collection of lidar data from Leipzig between 12 Jan and 7 Feb 2025
DOI: 10.5281/zenodo.14839941
title: unimpeded: walcdm bicep_keck_2018+des_y1.joint

description: cosmological model:walcdm, dataset:bicep_keck_2018+des_y1.joint
DOI: 10.5281/zenodo.14839942
title: unimpeded: walcdm bicep_keck_2018+des_y1.joint

description: cosmological model:walcdm, dataset:bicep_keck_2018+des_y1.joint
DOI: 10.6084/m9.figshare.28387259
title: The source data for "Absence of superconductivity and density-wave transition in ambient-pressure tetragonal La4Ni3O10".

description: The source data for "Absence of superconductivity and density-wave transition in ambient-pressure tetragonal La4Ni3O10".
DOI: 10.5281/zenodo.14842262
title: Atypical memory B cells acquire Breg phenotypes in hepatocellular carcinoma

description: The gene expression matrices (h5 files) and BCR sequencing data (BCRobj.RDS) from 10 HCC patients is available here. Samples from 'Tumor' and 'Adjacent normal' tissues are included.
DOI: 10.5281/zenodo.14842263
title: Atypical memory B cells acquire Breg phenotypes in hepatocellular carcinoma

description: The gene expression matrices (h5 files) and BCR sequencing data (BCRobj.RDS) from 10 HCC patients is available here. Samples from 'Tumor' and 'Adjacent normal' tissues are included.
DOI: 10.5281/zenodo.14844888
title: Doppler lidar validation data for Erdmann and Gasch: A modular wind profile retrieval software for heterogeneous Doppler lidar measurements

description: Radiosonde and Doppler lidar wind profiles from Payerne, Villingen-Schwenningen, and Neumayer Station.
DOI: 10.5281/zenodo.14840109
title: unimpeded: nlcdm des_y1.joint+planck_2018_plik

description: cosmological model:nlcdm, dataset:des_y1.joint+planck_2018_plik
DOI: 10.5281/zenodo.14840110
title: unimpeded: nlcdm des_y1.joint+planck_2018_plik

description: cosmological model:nlcdm, dataset:des_y1.joint+planck_2018_plik
DOI: 10.5519/qd.6epgaiph
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (469 records)
DOI: 10.5281/zenodo.14848425
title: Can Trump really destabilize the Chinese growth trajectory?

description: Immediately after Trump took over the charge of America, he imposed high tariffs on his major trade partners. This paper looks at the effect that the tariff war can have on China, the second largest economy in the world. The paper finds that China digested the first wave of tariff imposed by Trump in 2018 well and its exports to the USA increased to all time high by 2021-22. China did not decrease the prices, and in spite of the global slowing down of economies, China’s trade balance remains positive. Expecting disruptions from the USA, China has already started diversifying its export partners. Chinese exports cover a large range of variety, that also enables China to adjust its risks. Given these facts, the paper concludes that the tariff war will not affect the Chinese economy that much.
DOI: 10.5281/zenodo.14848426
title: Can Trump really destabilize the Chinese growth trajectory?

description: Immediately after Trump took over the charge of America, he imposed high tariffs on his major trade partners. This paper looks at the effect that the tariff war can have on China, the second largest economy in the world. The paper finds that China digested the first wave of tariff imposed by Trump in 2018 well and its exports to the USA increased to all time high by 2021-22. China did not decrease the prices, and in spite of the global slowing down of economies, China’s trade balance remains positive. Expecting disruptions from the USA, China has already started diversifying its export partners. Chinese exports cover a large range of variety, that also enables China to adjust its risks. Given these facts, the paper concludes that the tariff war will not affect the Chinese economy that much.
DOI: 10.5281/zenodo.14848460
title: Risk Factors for Microvascular Invasion and Early Recurrence in Hepatocellular Carcinoma Following CT-guided Radiofrequency Ablation
DOI: 10.5281/zenodo.14848461
title: Risk Factors for Microvascular Invasion and Early Recurrence in Hepatocellular Carcinoma Following CT-guided Radiofrequency Ablation