cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25584/1997410
title: Surface Meteorological Data from Sequim "Upstairs" PNNL Campus

description: Surface meteorological data (3m wind speed, wind direction, 2m air temperature, relative humidity, pressure, downwelling irradiance, total rainfall) gathered on the Sequim-PNNL campus ('upstairs'). Equipment is manufactured and calibrated by Campbell Scientific. Placement and height of sensors follows recommended guidelines of the NWS.
DOI: 10.34740/kaggle/dsv/6396986
title: Surgical Specialists in Pakistan
DOI: 10.6084/m9.figshare.22548400
title: A scATAC-seq atlas of chromatin accessibility in axolotl brain regions

description: Axolotl (<i>Ambystoma mexicanum</i>) is an excellent model for investigating regeneration, the interaction between regenerative and developmental processes, comparative genomics, and evolution. The brain, which serves as the material basis of consciousness, learning, memory, and behavior, is the most complex and advanced organ in axolotl. The modulation of transcription factors is a crucial aspect in determining the function of diverse regions within the brain. There is, however, no comprehensive understanding of the gene regulatory network of axolotl brain regions. Here, we utilized single-cell ATAC sequencing to generate the chromatin accessibility landscapes of 81,199 cells from the olfactory bulb, telencephalon, diencephalon and mesencephalon, hypothalamus and pituitary, and the rhombencephalon. Based on these data, we identified key transcription factors specific to distinct cell types and compared cell type functions across brain regions. Our results provide a foundation for comprehensive analysis of gene regulatory programs, which are valuable for future studies of axolotl brain development, regeneration, and evolution, as well as on the mechanisms underlying cell-type diversity in vertebrate brains.
DOI: 10.6084/m9.figshare.22548400.v6
title: A scATAC-seq atlas of chromatin accessibility in axolotl brain regions

description: Axolotl (<i>Ambystoma mexicanum</i>) is an excellent model for investigating regeneration, the interaction between regenerative and developmental processes, comparative genomics, and evolution. The brain, which serves as the material basis of consciousness, learning, memory, and behavior, is the most complex and advanced organ in axolotl. The modulation of transcription factors is a crucial aspect in determining the function of diverse regions within the brain. There is, however, no comprehensive understanding of the gene regulatory network of axolotl brain regions. Here, we utilized single-cell ATAC sequencing to generate the chromatin accessibility landscapes of 81,199 cells from the olfactory bulb, telencephalon, diencephalon and mesencephalon, hypothalamus and pituitary, and the rhombencephalon. Based on these data, we identified key transcription factors specific to distinct cell types and compared cell type functions across brain regions. Our results provide a foundation for comprehensive analysis of gene regulatory programs, which are valuable for future studies of axolotl brain development, regeneration, and evolution, as well as on the mechanisms underlying cell-type diversity in vertebrate brains.
DOI: 10.5281/zenodo.8307317
title: Intersectional files taking each of the original 12 annotation candidates as the reference genome

description: Intersectional files taking each of the original 12 annotation candidates as the reference genome
DOI: 10.5281/zenodo.8307316
title: Intersectional files taking each of the original 12 annotation candidates as the reference genome

description: Intersectional files taking each of the original 12 annotation candidates as the reference genome
DOI: 10.5281/zenodo.8307315
title: freqTBpops

description: Frequency file of TB populations.
DOI: 10.5281/zenodo.8307314
title: freqTBpops

description: Frequency file of TB populations.
DOI: 10.5281/zenodo.8078659
title: Figures data

description: The relevant dataset of the article 'Development of a Distributed Hydro-Thermal Coupled Hydrological Model for Cold Regions'
DOI: 10.5281/zenodo.8078658
title: Figures7-11 data

description: The relevant dataset of the article 'Development of a Distributed Hydro-Thermal Coupled Hydrological Model for Cold Regions'
DOI: 10.5281/zenodo.8307346
title: Figures7-11 data

description: The relevant dataset of the article 'Development of a Distributed Hydro-Thermal Coupled Hydrological Model for Cold Regions'
DOI: 10.6084/m9.figshare.24055551
title: FGI Guiding Questions.docxFGI data

description: Guiding questions used during the conduction of focus group interviewsFGI data
DOI: 10.6084/m9.figshare.24055551.v1
title: FGI Guiding Questions.docxFGI data

description: Guiding questions used during the conduction of focus group interviewsFGI data
DOI: 10.5281/zenodo.8307140
title: Marine heatwave prediction using machine learning - Moana Project

description: This datasets includes results of the PCA analysis used in the repository https://github.com/metocean/marineheatwave_ml_moana
DOI: 10.5281/zenodo.8307139
title: Marine heatwave prediction using machine learning - Moana Project

description: This datasets includes results of the PCA analysis used in the repository https://github.com/metocean/marineheatwave_ml_moana
DOI: 10.26182/yky9-2391
title: Transient naive reprogramming corrects hiPS cells functionally and epigenetically [ChIP-seq]
DOI: 10.6084/m9.figshare.24070350
title: GCTA exe for windows

description: This an executable file of GCTA in windows
DOI: 10.26182/3d4a-2129
title: Transient naive reprogramming corrects hiPS cells functionally and epigenetically [WGBS]
DOI: 10.5281/zenodo.8304919
title: ood-adv-rob_cifar10_Linf_models_02

description: Pre-trained CIFAR-10 models with one of the adversarial training methods (Linf).
DOI: 10.5281/zenodo.8304918
title: ood-adv-rob_cifar10_Linf_models_02

description: Pre-trained CIFAR-10 models with one of the adversarial training methods (Linf).
DOI: 10.6084/m9.figshare.24041778
title: Statistical study of nonlinear interaction between chorus and electron cyclotron harmonic waves based on Van Allen Probes observations

description: Sample information for the nonlinear chorus-ECH interaction.
DOI: 10.6084/m9.figshare.24041778.v1
title: Statistical study of nonlinear interaction between chorus and electron cyclotron harmonic waves based on Van Allen Probes observations

description: Sample information for the nonlinear chorus-ECH interaction.
DOI: 10.6084/m9.figshare.24041778.v2
title: Statistical study of nonlinear interaction between chorus and electron cyclotron harmonic waves based on Van Allen Probes observations

description: Sample information for the nonlinear chorus-ECH interaction.
DOI: 10.6084/m9.figshare.24070359
title: Autometa 2 test data: simulated communities

description: Autometa simulated communities datasets and ground truths.
DOI: 10.6084/m9.figshare.24070482
title: Figure 2

description: <b>Methamphetamine-induced region-specific transcriptomic and epigenetic changes in the brain of male rats</b>
DOI: 10.6084/m9.figshare.24070482.v1
title: Figure 2

description: <b>Methamphetamine-induced region-specific transcriptomic and epigenetic changes in the brain of male rats</b>
DOI: 10.6084/m9.figshare.24070527
title: Figure 3

description: <b>Methamphetamine-induced region-specific transcriptomic and epigenetic changes in the brain of male rats</b>
DOI: 10.6084/m9.figshare.24070527.v1
title: Figure 3

description: <b>Methamphetamine-induced region-specific transcriptomic and epigenetic changes in the brain of male rats</b>
DOI: 10.6084/m9.figshare.24070593
title: Figure 4

description: <b>Methamphetamine-induced region-specific transcriptomic and epigenetic changes in the brain of male rats</b>
DOI: 10.6084/m9.figshare.24070593.v1
title: Figure 4

description: <b>Methamphetamine-induced region-specific transcriptomic and epigenetic changes in the brain of male rats</b>
DOI: 10.6084/m9.figshare.24070608
title: Figure 5

description: <b>Methamphetamine-induced region-specific transcriptomic and epigenetic changes in the brain of male rats</b>
DOI: 10.6084/m9.figshare.24070608.v1
title: Figure 5

description: <b>Methamphetamine-induced region-specific transcriptomic and epigenetic changes in the brain of male rats</b>
DOI: 10.6084/m9.figshare.22587331
title: Trends in Pain Medication Use in Patients With Type 2 Diabetes: NHANES 2005–2018

description: The aim of this research was to compare pain medication use trends among adults with and without type 2 diabetes in the US. This cross-sectional study used data of adults with and without (type 2) diabetes from the National Health and Nutrition Examination Survey waves 2005–2018. Use of pain medication including opioids, prescription nonsteroidal anti-inflammatory drugs, gabapentinoids, serotonin norepinephrine reuptake inhibitors, skeletal muscle relaxants, and headache treatment agents was compared by diabetes status and within select social determinants of health and clinical factors. Adults with type 2 diabetes were twice as likely to be prescribed pain medications compared to those without a diabetes diagnosis (16.2% vs 8.6%). Females and those with a history of smoking or arthritis were more likely to be on pain medications. Opioid use was the most prevalent regardless of diabetes status, and use was twice as high among those with diabetes (10.8% vs 5.5%). Patients with type 2 diabetes in the US are twice as likely to be prescribed pain medications overall as well as opioids compared with those without diabetes. Clinical guideline recommendations are necessary to find pharmacologic and nonpharmacologic nociceptive pain management specific for patients with diabetes.
DOI: 10.6084/m9.figshare.22496006
title: Comparing National Methadone Equianalgesic Tools

description: Methadone is an effective analgesic with unique pharmacokinetic and pharmacodynamic variables. There is no national consensus on methadone equianalgesia tools. Our study aimed to compare methadone equianalgesic tools from various national institutions with the primary objective to summarize current practice and secondary objective to determine if a national consensus can be established. Out of 25 institutional methadone equianalgesic tools reviewed, 18 contained sufficient data and were included in this study. Fifteen (15) of the institution evaluated tools utilized a wide variety of dose-dependent modalities for methadone conversion with the hospice and palliative care (HAPC) Consensus method being the most common. Based on the variability of the equianalgesia tools evaluated in this study, we were unable to recommend a consensus methadone conversion method. Further trials exploring methadone equianalgesia beyond our study are needed.
DOI: 10.6084/m9.figshare.22587331.v1
title: Trends in Pain Medication Use in Patients With Type 2 Diabetes: NHANES 2005–2018

description: The aim of this research was to compare pain medication use trends among adults with and without type 2 diabetes in the US. This cross-sectional study used data of adults with and without (type 2) diabetes from the National Health and Nutrition Examination Survey waves 2005–2018. Use of pain medication including opioids, prescription nonsteroidal anti-inflammatory drugs, gabapentinoids, serotonin norepinephrine reuptake inhibitors, skeletal muscle relaxants, and headache treatment agents was compared by diabetes status and within select social determinants of health and clinical factors. Adults with type 2 diabetes were twice as likely to be prescribed pain medications compared to those without a diabetes diagnosis (16.2% vs 8.6%). Females and those with a history of smoking or arthritis were more likely to be on pain medications. Opioid use was the most prevalent regardless of diabetes status, and use was twice as high among those with diabetes (10.8% vs 5.5%). Patients with type 2 diabetes in the US are twice as likely to be prescribed pain medications overall as well as opioids compared with those without diabetes. Clinical guideline recommendations are necessary to find pharmacologic and nonpharmacologic nociceptive pain management specific for patients with diabetes.
DOI: 10.6084/m9.figshare.22496006.v1
title: Comparing National Methadone Equianalgesic Tools

description: Methadone is an effective analgesic with unique pharmacokinetic and pharmacodynamic variables. There is no national consensus on methadone equianalgesia tools. Our study aimed to compare methadone equianalgesic tools from various national institutions with the primary objective to summarize current practice and secondary objective to determine if a national consensus can be established. Out of 25 institutional methadone equianalgesic tools reviewed, 18 contained sufficient data and were included in this study. Fifteen (15) of the institution evaluated tools utilized a wide variety of dose-dependent modalities for methadone conversion with the hospice and palliative care (HAPC) Consensus method being the most common. Based on the variability of the equianalgesia tools evaluated in this study, we were unable to recommend a consensus methadone conversion method. Further trials exploring methadone equianalgesia beyond our study are needed.
DOI: 10.6084/m9.figshare.24070635
title: supplementary Figure 1

description: <b>Methamphetamine-induced region-specific transcriptomic and epigenetic changes in the brain of male rats</b>
DOI: 10.6084/m9.figshare.24070635.v1
title: supplementary Figure 1

description: <b>Methamphetamine-induced region-specific transcriptomic and epigenetic changes in the brain of male rats</b>
DOI: 10.6084/m9.figshare.24070662
title: supplementary Figure 2

description: <b>Methamphetamine-induced region-specific transcriptomic and epigenetic changes in the brain of male rats</b>
DOI: 10.6084/m9.figshare.24070662.v1
title: supplementary Figure 2

description: <b>Methamphetamine-induced region-specific transcriptomic and epigenetic changes in the brain of male rats</b>
DOI: 10.6084/m9.figshare.24070722
title: supplementary Figure 3

description: <b>Methamphetamine-induced region-specific transcriptomic and epigenetic changes in the brain of male rats</b>
DOI: 10.6084/m9.figshare.24070722.v1
title: supplementary Figure 3

description: <b>Methamphetamine-induced region-specific transcriptomic and epigenetic changes in the brain of male rats</b>
DOI: 10.5281/zenodo.8207699
title: A 500m-Resolution Dataset of Agricultural Drought Areas in the North China Plain During 2006–2019

description: Agricultural drought stands as a dominant natural hazard in the North China Plain, showing increasing frequency and severity over recent decades. However, limitations posed by the coarser spatiotemporal resolution of accessible agricultural drought data archives impede the practical application of regional-scale agricultural drought simulation and monitoring studies. Hence, we generated a 500 m-resolution agricultural drought areas dataset of summer-harvest crops and autumn-harvest crops spanning across the North China Plain (NCP) from 2006 to 2019, encompassing three degrees of agricultural drought area: drought-covered area, drought-damaged area, and crop failure area. The generated dataset holds the potential for effective application in generating synthetic regional drought information, support impact-based agricultural drought monitoring and prediction, and subsequently could greatly assist in optimizing agricultural water management and ensuring global food security.
description: Raster value of the dataset is the degree of relative agricultural drought, with the lower value representing the more severe drought.
DOI: 10.5281/zenodo.8207700
title: A 500m-Resolution Dataset of Agricultural Drought Areas in the North China Plain During 2006–2019

description: Agricultural drought stands as a dominant natural hazard in the North China Plain, showing increasing frequency and severity over recent decades. However, limitations posed by the coarser spatiotemporal resolution of accessible agricultural drought data archives impede the practical application of regional-scale agricultural drought simulation and monitoring studies. Hence, we generated a 500 m-resolution agricultural drought areas dataset of summer-harvest crops and autumn-harvest crops spanning across the North China Plain (NCP) from 2006 to 2019, encompassing three degrees of agricultural drought area: drought-covered area, drought-damaged area, and crop failure area. The generated dataset holds the potential for effective application in generating synthetic regional drought information, support impact-based agricultural drought monitoring and prediction, and subsequently could greatly assist in optimizing agricultural water management and ensuring global food security.
description: Raster value of the dataset is the degree of relative agricultural drought, with the lower value representing the more severe drought.
DOI: 10.6084/m9.figshare.24070776
title: supplementary Figure 4

description: <b>Methamphetamine-induced region-specific transcriptomic and epigenetic changes in the brain of male rats</b>
DOI: 10.6084/m9.figshare.24070776.v1
title: supplementary Figure 4

description: <b>Methamphetamine-induced region-specific transcriptomic and epigenetic changes in the brain of male rats</b>
DOI: 10.6084/m9.figshare.24070800
title: supplementary Figure 5

description: <b>Methamphetamine-induced region-specific transcriptomic and epigenetic changes in the brain of male rats</b>
DOI: 10.6084/m9.figshare.24070800.v1
title: supplementary Figure 5

description: <b>Methamphetamine-induced region-specific transcriptomic and epigenetic changes in the brain of male rats</b>
DOI: 10.26182/0pkj-m839
title: Transient naive reprogramming corrects hiPS cells functionally and epigenetically [ATAC-seq]
DOI: 10.26182/7cp0-4049
title: Transient naive reprogramming corrects hiPS cells functionally and epigenetically [WGBS 2]
DOI: 10.6084/m9.figshare.23592666.v1
title: Taking into account karst in global-scale groundwater recharge modeling

description: 1. Global ground-based GWR estimates allocated to the 0.5º by 0.5º grid cells of WaterGAP, including 64 estimates from karst studies and the rest for non-karst areas. 2. The six major datasets used for compiling the ground-based GWR estimates dataset, including (1) Moeck et al. (2020), (2) Mohan et al. (2018), (3) Scanlon et al. (2006), (4) Döll & Fiedler (2008), (5) MacDonald et al. (2021), and (6) Hartmann et al. (2015). 3. The updated global 0.5° cell GWR, karstification fraction, relief-, soil texture-, hydrogeology-, and permafrost/glacier-related factors, and GWR per grid cell.
DOI: 10.26182/9gsr-da25
title: Unity3D C# script for measuring perpendicular distance
DOI: 10.26036/cnp0004730
title: Trichoderma harzianum inoculation promotes sweet sorghum growth in the saline soil

description: Trichoderma harzianum inoculation promotes sweet sorghum growth in the saline soil by modulating rhizosphere available nutrients and bacterial community
DOI: 10.5281/zenodo.8304577
title: Dataset related to article "Sensitizing cancer cells to immune checkpoint inhibitors by microbiota-mediated upregulation of HLA class I"

description: This record contains raw data (metabolomic and RNASeq data) related to the article: "Sensitizing cancer cells to immune checkpoint inhibitors by microbiota-mediated upregulation of HLA class I"
DOI: 10.5281/zenodo.8304576
title: Dataset related to article "Sensitizing cancer cells to immune checkpoint inhibitors by microbiota-mediated upregulation of HLA class I"

description: This record contains raw data (metabolomic and RNASeq data) related to the article: "Sensitizing cancer cells to immune checkpoint inhibitors by microbiota-mediated upregulation of HLA class I"
DOI: 10.5517/ccdc.csd.cc29z1mz
title: CCDC 2144041: Experimental Crystal Structure Determination

description: Related Article: Rui Gao, Zhen Liu, Zeyu Liu, Jie Su, Liangbing Gan|2023|J.Am.Chem.Soc.|145|18022|doi:10.1021/jacs.3c05733
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: 10.5517/ccdc.csd.cc2d6mbl
title: CCDC 2210899: Experimental Crystal Structure Determination

description: Related Article: Rimma G. Savchenko, Regina M. Limantseva, Galina V. Benkovskaya, Veronica R. Khairullina, Oleg S. Mozgovoj|2023|Chem.Papers|77|5495|doi:10.1007/s11696-023-02880-7
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: 10.5517/ccdc.csd.cc2dcrsb
title: CCDC 2215842: Experimental Crystal Structure Determination

description: Related Article: Shubha S. Gunaga, David L. Bryce|2023|J.Am.Chem.Soc.|145|19005|doi:10.1021/jacs.3c06343
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: 10.5517/ccdc.csd.cc2dcrtc
title: CCDC 2215843: Experimental Crystal Structure Determination

description: Related Article: Shubha S. Gunaga, David L. Bryce|2023|J.Am.Chem.Soc.|145|19005|doi:10.1021/jacs.3c06343
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: 10.5517/ccdc.csd.cc2dcrvd
title: CCDC 2215844: Experimental Crystal Structure Determination

description: Related Article: Shubha S. Gunaga, David L. Bryce|2023|J.Am.Chem.Soc.|145|19005|doi:10.1021/jacs.3c06343
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: 10.5517/ccdc.csd.cc2dcrwf
title: CCDC 2215845: Experimental Crystal Structure Determination

description: Related Article: Shubha S. Gunaga, David L. Bryce|2023|J.Am.Chem.Soc.|145|19005|doi:10.1021/jacs.3c06343
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: 10.5517/ccdc.csd.cc2dcrxg
title: CCDC 2215846: Experimental Crystal Structure Determination

description: Related Article: Shubha S. Gunaga, David L. Bryce|2023|J.Am.Chem.Soc.|145|19005|doi:10.1021/jacs.3c06343
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.