cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.20745485
title: Additional file 5 of Crowdsourced benchmarking of taxonomic metagenome profilers: lessons learned from the sbv IMPROVER Microbiomics challenge

description: Additional file 5.
DOI: 10.6084/m9.figshare.20745485.v1
title: Additional file 5 of Crowdsourced benchmarking of taxonomic metagenome profilers: lessons learned from the sbv IMPROVER Microbiomics challenge

description: Additional file 5.
DOI: 10.5519/qd.vo5hoi38
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.6084/m9.figshare.20724130
title: data-ammonia EF.xlsx

description: The ammonia volatilization of Chinese vegetable was collected in this data, and the ammonia emission factor was also calculated. NH3 volatilization observations under fertilizer treatments in greenhouses and in open-field systems reported in 54 articles published during 2004-2021 were obtained. The database recorded the following information for each study: cultivation method, vegetable type, N application rate, fertilizer type, soil pH, SOM, soil total nitrogen (TN), soil NH4+, soil NO3-, soil BD, and cumulative NH3 volatilization.
DOI: 10.5281/zenodo.7036265
title: Everyday Augmented Conversation Videos Dataset

description: This dataset builds on the Everyday Conversation Videos Dataset and includes augmented variants of those videos. The 160 videos in this dataset all depict about a minute long everyday conversations. For these, four different actors (A1-A4) acted out a set of eight scenarios (S1-S8) Here, the videos have been cropped, trimmed, and standardized to 720p at 30fps. We then added Snapchat filters to the videos by routing them through Snap Camera. Each video is then available in one of five filter conditions, where: F0: No filter added F01: Beautification filter F02: Subtle beautification filter F03: Face and body tattoo filter F1-F8: Scenario-specific filters
DOI: 10.5281/zenodo.7036264
title: Everyday Augmented Conversation Videos Dataset

description: This dataset builds on the Everyday Conversation Videos Dataset and includes augmented variants of those videos. The 160 videos in this dataset all depict about a minute long everyday conversations. For these, four different actors (A1-A4) acted out a set of eight scenarios (S1-S8) Here, the videos have been cropped, trimmed, and standardized to 720p at 30fps. We then added Snapchat filters to the videos by routing them through Snap Camera. Each video is then available in one of five filter conditions, where: F0: No filter added F01: Beautification filter F02: Subtle beautification filter F03: Face and body tattoo filter F1-F8: Scenario-specific filters
DOI: 10.6084/m9.figshare.20438811
title: Supplementary Material for: Risk scores for metabolic dysfunction-associated fatty liver disease in pediatric obesity

description: Introduction: Early non-invasive detection of incipient liver damage is crucial to prevent long-term adverse health outcomes. A variety of scores to assess liver status have been proposed, mostly for adult populations. Validation of non-invasive hepatic scores to identify children at risk of metabolic dysfunction-associated fatty liver disease (MAFLD) is a gap in research, particularly in youth with severe obesity considering pubertal stage and sex. Methods: In a well-characterized pediatric population aged 9 to 19 years (n=115) 19 published liver scores were analyzed. AUROC for determination of MAFLD as assessed by magnetic resonance imaging was calculated. Results: The pediatric indices PNFI, B-AST and M-APRI and several scores developed in adults significantly differed in children with MAFLD compared to children without, while some established indices did not. Only NAFLD-LFS and the model by Cao et al. showed acceptable predictive accuracy (AUROC &gt; 0.8) independently of pubertal stage and sex. When stratifying for pubertal stage and sex, the GSG-Index was superior in pubertal girls, and NAFLD-LFS performed best in pubertal boys. Conclusion: NAFLD-LFS and the model by Cao et al. were well suited to predict MAFLD in youth with severe obesity. In pubertal children, GSG-Index and NAFLD-LFS performed best in girls and boys, respectively.
DOI: 10.6084/m9.figshare.20745082.v1
title: Supplementary Material for: Risk of Atopic Disorders in Patients with Chronic Urticaria: A Systematic Review and Meta-Analysis

description: <b><i>Background:</i></b> Chronic urticaria (CU) has been associated with several systemic and autoimmune disorders. The association with atopic disorders is however controversial. The objective of this study was to perform a systematic review and meta-analysis to assess the association between CU and the atopic disorders: atopic dermatitis (AD), asthma, and allergic rhinoconjunctivitis (ARC). <b><i>Methods:</i></b> Search hits from PubMed, Embase, Cochrane Library, and Web of Science were systematically reviewed. English papers from 2000 to present, containing original data of the association (prevalence, incidence, or risk) between CU and any atopic disorder(s), were included. Pooled point prevalence and OR with 95% confidence intervals were calculated with a random effects model. <b><i>Results:</i></b> A total of 8,108 search hits were screened and reviewed. Thirty-eight studies met all inclusion criteria. The estimated pooled point prevalence of AD, asthma, and ARC in CU was 7% (5–11%, <i>I</i><sup><i>2</i></sup> = 99%), 12% (9–15%, <i>I</i><sup><i>2</i></sup> = 100%), and 22% (16–29%, <i>I</i><sup><i>2</i></sup> = 100%), respectively. Pooled ORs were estimated to 2.75 (2.05–3.68, <i>I</i><sup><i>2</i></sup> = 94%) for AD, 1.87 (1.01–3.45, <i>I</i><sup><i>2</i></sup> = 100%) for asthma, and 2.94 (1.84–4.68, <i>I</i><sup><i>2</i></sup> = 100%) for ARC. <b><i>Conclusion:</i></b> Pooled point prevalences of atopic disorders in CU were comparable to the general population. However, studies that compared prevalences with controls from the same population all found a significantly increased risk of atopic disorders in CU. Results should however be interpreted with caution as high heterogeneity was found in all analyses.
DOI: 10.3886/e178961
title: Publish-or-perish-interviews

description: This file contains transcripts of five interviews related to the study on publish or perish policy
DOI: 10.3886/e178961v1
title: Publish-or-perish-interviews

description: This file contains transcripts of five interviews related to the study on publish or perish policy
DOI: 10.5065/8kya-6n38
title: ICARUS Chamber Experiment: Nizkorodov Lab_20210809_alpha-Pinene/Nitric oxide_Hydroxyl radical_No Seed
DOI: 10.5065/wmrj-3m72
title: ICARUS Chamber Experiment: Nizkorodov Lab_20210824_Naphthalene_Hydroxyl radical_No Seed
DOI: 10.5065/gyrd-g121
title: ICARUS Chamber Experiment: Nizkorodov Lab_20210910_alpha-Pinene/Nitric oxide_Hydroxyl radical_No Seed
DOI: 10.5065/wja9-8k42
title: ICARUS Chamber Experiment: Nizkorodov Lab_20210927_Naphthalene_Hydroxyl radical_No Seed
DOI: 10.5065/0d72-jp64
title: ICARUS Chamber Experiment: Nizkorodov Lab_20210929_Naphthalene/Nitric oxide_Hydroxyl radical_No Seed
DOI: 10.5065/wf7a-3r43
title: ICARUS Chamber Experiment: Nizkorodov Lab_20211026_alpha-Pinene_Hydroxyl radical_No Seed
DOI: 10.6084/m9.figshare.20277702.v1
title: Striatal fiber photometry reflects primarily non-somatic changes in calcium

description: This is a dataset of ephys and photometry data from Legaria et al., 2022
DOI: 10.6084/m9.figshare.20277702
title: Striatal fiber photometry reflects primarily non-somatic changes in calcium

description: This is a dataset of ephys and photometry data from Legaria et al., 2022
DOI: 10.5065/n7k1-hp40
title: ICARUS Chamber Experiment: Nizkorodov Lab_20220404_Naphthalene_Hydroxyl radical_No Seed
DOI: 10.5065/2zvc-ra30
title: ICARUS Chamber Experiment: Nizkorodov Lab_20220411_alpha-Pinene_Hydroxyl radical_No Seed
DOI: 10.5065/wze2-at72
title: ICARUS Chamber Experiment: Nizkorodov Lab_20220413_alpha-Pinene/Nitric oxide_Hydroxyl radical_No Seed
DOI: 10.5065/jnes-0j69
title: ICARUS Chamber Experiment: Nizkorodov Lab_20210617_Naphthalene/Nitric oxide_Hydroxyl radical_No Seed
DOI: 10.5065/ea5z-ee72
title: ICARUS Chamber Experiment: Nizkorodov Lab_20210622_Naphthalene_Hydroxyl radical_No Seed
DOI: 10.20351/29sg20220616
title: LISA Cruise, RV Sarmiento de Gamboa

description: Oceanographic data acquired during the LISA Cruise (29SG20220616)  on board the Research Vessel Sarmiento de Gamboa in 2022.
DOI: 10.20351/29sg20220613
title: ATLANTIS Cruise, RV Sarmiento de Gamboa

description: Oceanographic data acquired during the ATLANTIS Cruise (29SG20220613)  on board the Research Vessel Sarmiento de Gamboa in 2022.
DOI: 10.20351/29sg20220729
title: eIMPACT-1 Cruise, RV Sarmiento de Gamboa

description: Oceanographic data acquired during the eIMPACT-1 Cruise (29SG20220729)  on board the Research Vessel Sarmiento de Gamboa in 2022.
DOI: 10.25574/52500
title: Chandra X-ray Observatory ObsId 52500
DOI: 10.25574/52506
title: Chandra X-ray Observatory ObsId 52506
DOI: 10.25574/52512
title: Chandra X-ray Observatory ObsId 52512
DOI: 10.25574/52517
title: Chandra X-ray Observatory ObsId 52517
DOI: 10.25574/52521
title: Chandra X-ray Observatory ObsId 52521
DOI: 10.25574/52527
title: Chandra X-ray Observatory ObsId 52527
DOI: 10.25574/52534
title: Chandra X-ray Observatory ObsId 52534
DOI: 10.25574/52543
title: Chandra X-ray Observatory ObsId 52543
DOI: 10.25574/52551
title: Chandra X-ray Observatory ObsId 52551
DOI: 10.25574/52559
title: Chandra X-ray Observatory ObsId 52559
DOI: 10.25574/52566
title: Chandra X-ray Observatory ObsId 52566
DOI: 10.25574/52574
title: Chandra X-ray Observatory ObsId 52574
DOI: 10.25574/52579
title: Chandra X-ray Observatory ObsId 52579
DOI: 10.25574/52594
title: Chandra X-ray Observatory ObsId 52594
DOI: 10.25574/52603
title: Chandra X-ray Observatory ObsId 52603
DOI: 10.25574/52606
title: Chandra X-ray Observatory ObsId 52606
DOI: 10.25574/52613
title: Chandra X-ray Observatory ObsId 52613
DOI: 10.25574/52620
title: Chandra X-ray Observatory ObsId 52620
DOI: 10.25574/52631
title: Chandra X-ray Observatory ObsId 52631
DOI: 10.25574/52643
title: Chandra X-ray Observatory ObsId 52643
DOI: 10.25574/52649
title: Chandra X-ray Observatory ObsId 52649
DOI: 10.25574/52670
title: Chandra X-ray Observatory ObsId 52670
DOI: 10.25574/52675
title: Chandra X-ray Observatory ObsId 52675
DOI: 10.25574/52681
title: Chandra X-ray Observatory ObsId 52681
DOI: 10.25574/52689
title: Chandra X-ray Observatory ObsId 52689
DOI: 10.25574/52696
title: Chandra X-ray Observatory ObsId 52696
DOI: 10.25574/52705
title: Chandra X-ray Observatory ObsId 52705
DOI: 10.25574/52711
title: Chandra X-ray Observatory ObsId 52711
DOI: 10.25574/52716
title: Chandra X-ray Observatory ObsId 52716
DOI: 10.25574/52727
title: Chandra X-ray Observatory ObsId 52727
DOI: 10.25574/52740
title: Chandra X-ray Observatory ObsId 52740
DOI: 10.25574/52745
title: Chandra X-ray Observatory ObsId 52745
DOI: 10.13016/ncmr-zzyr
title: Neurogenin 2 and Neuronal Differentiation 1 control proper development of the chick trigeminal ganglion and its nerve branches

description: The trigeminal ganglion contains the cell bodies of sensory neurons comprising cranial nerve V, which relays information related to pain, touch, and temperature from the face and head to the brain. Like other cranial ganglia, the trigeminal ganglion is composed of neuronal derivatives of two critical em-bryonic cell types, neural crest and placode cells. Neurogenesis within the cranial ganglia is promoted by Neurogenin 2 (hereafter referred to as Neurog2), which is expressed in trigeminal placode cells and their neuronal derivatives and transcriptionally activates neuronal differentiation genes like Neuronal Differentiation 1 (NeuroD1). Little is known, however, about the role of Neurog2 and NeuroD1 dur-ing chick trigeminal gangliogenesis. To address this, we depleted Neurog2 and NeuroD1 from trigemi-nal placode cells with morpholinos and demonstrated that Neurog2 and NeuroD1 influence trigeminal ganglion development. While knockdown of both Neurog2 and NeuroD1 affected innervation of the eye, Neurog2 and NeuroD1 had opposite effects on ophthalmic nerve branch organization. Taken to-gether, our results highlight, for the first time, functional roles for Neurog2 and NeuroD1 during chick trigeminal gangliogenesis. These studies shed new light on the molecular mechanisms underlying tri-geminal ganglion formation and may also provide insight into general cranial gangliogenesis and dis-eases of the peripheral nervous system.
DOI: 10.21227/8ms5-gy58
title: RAHG_experiments

description: The RAHG experimental data includes four public datasets and one self-built dataset. The experimental process of RAHG on these five datasets is also recorded.
DOI: 10.5281/zenodo.7037271
title: Data set of HY

description: This is the operational data and geological data of SPBM in the He Yan Road river crossing project.
DOI: 10.5281/zenodo.7037270
title: Data set of HY

description: This is the operational data and geological data of SPBM in the He Yan Road river crossing project.
DOI: 10.15151/esrf-es-912181729
title: Improving imaging detectors

description: Tests to improve imaging on ID11
DOI: 10.6084/m9.figshare.11663574.v12
title: COCI Scholix dataset of all the citation data

description: This dataset contains all the citation data (in Scholix format) included in COCI, released on 18 June 2022. <br> This version of the dataset contains:<br> 1,315,379,811 citations; 73,103,457 bibliographic resources. The size of the zipped archive is 34.83 GB, while the size of the unzipped Scholix file is 1.17 TB. <br> Additional information about COCI can be retrieved in the <sub>official webpage</sub>.<br>
DOI: 10.6084/m9.figshare.20745994
title: Fenofibrate enhances lipid deposition via modulating gut microbiota in ob/ob mice fed a high-fat diet

description: These data support the conclusion in the title that long-term fenofibrate modulate the gut microbiota in ob/ob mice fed a high-fat diet. <strong>Gut Microbiota Analysis</strong> Total genomic deoxyribonucleic acid (DNA) was extracted from the fecal samples using CTAB/SDS method. The concentration and purity of DNA were determined by 1.0% agarose gel electrophoresis. The concentration of DNA was adjusted to 1.0 μg/mL using sterile water. The V3-V4 region of the 16S rRNA genes were amplified using the 341F-806R primers. PCR products were purified with an AxyPrepDNA gel extraction kit (AXYGEN). Sequencing library was generated using a NEB Next® UltraTM DNA library Prep Kit for Illumina (NEB, USA) following the manufacturer’s instructions. Finally, the library was sequenced on an Illumina Miseq/HiSeq2500 platform and 250bp/300bp paired-end reads were generated. The paired-end reads were assigned to each sample based on the unique barcodes. Sequence analysis was carried out by the UPARSE software package using the UPARSE-OTU and UPARSE-OTUref algorithms.
DOI: 10.6084/m9.figshare.20745994.v1
title: Fenofibrate enhances lipid deposition via modulating gut microbiota in ob/ob mice fed a high-fat diet

description: These data support the conclusion in the title that long-term fenofibrate modulate the gut microbiota in ob/ob mice fed a high-fat diet. <strong>Gut Microbiota Analysis</strong> Total genomic deoxyribonucleic acid (DNA) was extracted from the fecal samples using CTAB/SDS method. The concentration and purity of DNA were determined by 1.0% agarose gel electrophoresis. The concentration of DNA was adjusted to 1.0 μg/mL using sterile water. The V3-V4 region of the 16S rRNA genes were amplified using the 341F-806R primers. PCR products were purified with an AxyPrepDNA gel extraction kit (AXYGEN). Sequencing library was generated using a NEB Next® UltraTM DNA library Prep Kit for Illumina (NEB, USA) following the manufacturer’s instructions. Finally, the library was sequenced on an Illumina Miseq/HiSeq2500 platform and 250bp/300bp paired-end reads were generated. The paired-end reads were assigned to each sample based on the unique barcodes. Sequence analysis was carried out by the UPARSE software package using the UPARSE-OTU and UPARSE-OTUref algorithms.
DOI: 10.6084/m9.figshare.6741425.v15
title: COCI N-Triples dataset of all the citation data

description: The size of the zipped archive is 65.03 GB, while the size of the unzipped N-Triples file is 1.41 TB. This dataset contains all the citation data (in N-Triples format) included in COCI, released on 18 June 2022. In particular, any citation in the dataset, defined as an individual of the class <em>cito:Citation</em>, includes the following information: <strong>[citation IRI]</strong> the Open Citation Identifier (OCI) for the citation, defined in the final part of the URL identifying the citation (https://w3id.org/oc/index/coci/ci/[OCI]); <strong>[property "cito:hasCitingEntity"]</strong> the citing entity identified by its DOI URL (http://dx.doi.org/[DOI]); <strong>[property "cito:hasCitedEntity"]</strong> the cited entity identified by its DOI URL (http://dx.doi.org/[DOI]); <strong>[property "cito:hasCitationCreationDate"]</strong> the creation date of the citation (i.e. the publication date of the citing entity); <strong>[property "cito:hasCitationTimeSpan"]</strong> the time span of the citation (i.e. the interval between the publication date of the cited entity and the publication date of the citing entity); <strong>[type "cito:JournalSelfCitation"]</strong> it records whether the citation is a journal self-citations (i.e. the citing and the cited entities are published in the same journal); <strong>[type "cito:AuthorSelfCitation"]</strong> it records whether the citation is an author self-citation (i.e. the citing and the cited entities have at least one author in common). This version of the dataset contains:<br> 1,315,379,811 citations; 73,103,457 bibliographic resources. <br> Additional information about COCI can be retrieved in the <sub>official webpage</sub>.<br>
DOI: 10.6084/m9.figshare.6741422.v15
title: COCI CSV dataset of all the citation data

description: This dataset contains all the citation data (in CSV format) included in COCI, released on 18 June 2022. In particular, each line of the CSV file defines a citation, and includes the following information: <strong>[field "oci"]</strong> the Open Citation Identifier (OCI) for the citation; <strong>[field "citing"]</strong> the DOI of the citing entity; <strong>[field "cited"]</strong> the DOI of the cited entity; <strong>[field "creation"]</strong> the creation date of the citation (i.e. the publication date of the citing entity); <strong>[field "timespan"]</strong> the time span of the citation (i.e. the interval between the publication date of the cited entity and the publication date of the citing entity); <strong>[field "journal_sc"]</strong> it records whether the citation is a journal self-citations (i.e. the citing and the cited entities are published in the same journal); <strong>[field "author_sc"]</strong> it records whether the citation is an author self-citation (i.e. the citing and the cited entities have at least one author in common).<br> This version of the dataset contains:<br> 1,315,379,811 citations; 73,103,457 bibliographic resources. The size of the zipped archive is 33.41 GB, while the size of the unzipped CSV file is 213.8 GB. <br> Additional information about COCI can be retrieved in the <sub>official webpage</sub>.<br>
DOI: 10.6084/m9.figshare.6741446.v15
title: COCI N-Triples dataset of the provenance information of all the citation data

description: The size of the zipped archive is 69.7 GB, while the size of the unzipped N-Triples file is 2.98 TB.Additional information about COCI can be retrieved in the <sub>official webpage</sub>. This dataset contains the provenance information (in N-Triples format) of all the citation data included in COCI, released on the 18 June 2022. In particular, any citation in the dataset includes the following provenance information: <strong>[citation IRI]</strong> the Open Citation Identifier (OCI) for the citation, defined in the final part of the URL identifying the citation (https://w3id.org/oc/index/coci/ci/[OCI]);; <strong>[property "prov:wasAttributedTo"]</strong> the IRI of the agent that have created the citation data; <strong>[property "prov:hadPrimarySource"]</strong> the IRI of the source dataset from where the citation data have been extracted; <strong>[property "prov:generatedAtTime"]</strong> the creation time of the citation data. <br>
DOI: 10.6084/m9.figshare.20626179
title: Global CO2 emission reduction due to reduced forest loss

description: Spatial emission reduction owing to reduced forest loss with the deforestation rate dropping to zero evenly by 2030 (t yr<sup>-1</sup>) . This dataset is associated with the publication: Zhu Y, Wang D, Smith P, Ciais P, Piao S, Yuan W, Qin Z. What can the Glasgow Declaration on forests bring to global emission reduction? The Innovation. https://doi.org/10.1016/j.xinn.2022.100307
DOI: 10.6084/m9.figshare.20626179.v4
title: Global CO2 emission reduction due to reduced forest loss

description: This dataset is associated with the publication: (in press) --Spatial emission reduction owing to reduced forest loss with the deforestation rate dropping to zero evenly by 2030 (t yr<sup>-1</sup>)
DOI: 10.34740/kaggle/dsv/4142532
title: AutoXGB
DOI: 10.5281/zenodo.6341639
title: Mechanical data of rotary shear experiments for the manuscript: "Determination of parameters characteristic of dynamic weakening mechanisms during seismic faulting in cohesive rocks".

description: Mechanical data of rotary shear experiments and temperature measurements Each experiment is presented in a file with the experiment name (mechanical data of rotary shear experiment) and a file with the experiment name and _Temp (temperature measurement with the optical fiber). Mechanical data are presented in a tab-delimited file with calibrated measurements of: Time (milliseconds) Normal stress: Normal (MPa) Fault displacement: Slip (mm) Fault velocity: Velocity (mm/s) Shear stress: Shearstress (MPa) Axial shortening: Shortening (mm).
DOI: 10.5281/zenodo.6341640
title: Mechanical data of rotary shear experiments for the manuscript: "Determination of parameters characteristic of dynamic weakening mechanisms during seismic faulting in cohesive rocks".

description: Mechanical data of rotary shear experiments and temperature measurements Each experiment is presented in a file with the experiment name (mechanical data of rotary shear experiment) and a file with the experiment name and _Temp (temperature measurement with the optical fiber). Mechanical data are presented in a tab-delimited file with calibrated measurements of: Time (milliseconds) Normal stress: Normal (MPa) Fault displacement: Slip (mm) Fault velocity: Velocity (mm/s) Shear stress: Shearstress (MPa) Axial shortening: Shortening (mm).
DOI: 10.6084/m9.figshare.19792945
title: A Retrospective Assessment of Male Sexual Dysfunction in COVID-19 Infected Patients: A Witness in Kolkata, India

description: The psychological conditions of healthcare professionals deteriorate during the COVID-19 outbreak, which is effective worldwide. Sexual activity is a natural part of human existence and its effectiveness is recognized as a key indicator of good health and quality of life. In this study, we aimed to analyze the influence of COVID-19 on sexual activity in four recovered male patients. These males showed deterioration in all elements of sexual function. To the best of our knowledge, this is the first study that we are reporting from Kolkata, India, that used validated assessment to document sexual functioning in males following post-COVID-19 illness.