cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.35077/zoo
title: fMOST_cells_190134

description: This dataset comes from combining genetic labeling with fMOST to achieve a genetically targeted single neuron saturation screen of major classes of cortical projection neurons in the sensorimotor system.
description: Imaging: TDI; Virus: AAV
description: DATASET METADATA: title:'fMOST_cells_190134', GeneralModality:'cell morphology', Technique:'fMOST; neuron morphology reconstruction' SPECIMEN METADATA: LocalID:'190134', Species:'mouse', NCBITaxonomy:'NCBI:txid10090', Age:'16', Ageunit:'Weeks', Sex:'Female', Genotype:'PlxnD1-2A-creER*LSL-Flpo', OrganName:'Brain', Locations:'Mop' INSTRUMENT METADATA: MicroscopeType:'fMOST' IMAGE METADATA: yAxis:'inferior-to-superior', zAxis:'anterior-to-posterior', Number:'1, gray', displayColor:'(0.8, 0.8, 0.8)', stepSizeX:'0.35 micron/pixel', stepSizeY:'0.35 micron/pixel', stepSizeZ:'1 micron/pixel'
DOI: 10.17632/ghkzp8pvvs.1
title: Raw dataset with accelerometer, gyroscope and magnetometer data related to Eight Hop Test

description: This raw dataset presents the data related to the performance of Eight Hop Test captured with accelerometer, gyroscope and magnetometer sensors available in off-the-shelf mobile devices.
DOI: 10.17632/bx2xscnv5c.1
title: Data for: The scope of infants' early object word extensions

description: Data for Campbell & Hall, The scope of infants' early object word extensions
DOI: 10.17632/ysdxb6557d.1
title: Ensemble Classification using Balanced Data to Predict Customer Churn: A Case Study on the Telecom Industry

description:  This research examines the factors affecting customer churn in the telecom industry. In this regard, we use data mining classification methods, such as neural network, K-nearest neighbor, support vector machine, logistic regression, decision tree, and random forest. The results are analyzed using various criteria such as accuracy, precision, recall, F1-score, and ROC curve. After determining the successful classifiers, we combine them with the AdaBoost and XGBoost methods.
DOI: 10.35077/all
title: fMOST_cells_190138

description: This dataset comes from combining genetic labeling with fMOST to achieve a genetically targeted single neuron saturation screen of major classes of cortical projection neurons in the sensorimotor system.
description: Imaging: TDI; Virus: AAV
description: DATASET METADATA: title:'fMOST_cells_190138', GeneralModality:'cell morphology', Technique:'fMOST; neuron morphology reconstruction' SPECIMEN METADATA: LocalID:'190138', Species:'mouse', NCBITaxonomy:'NCBI:txid10090', Age:'19', Ageunit:'Weeks', Sex:'Female', Genotype:'PlxnD1-2A-creER*LSL-Flpo', OrganName:'Brain', Locations:'M2' INSTRUMENT METADATA: MicroscopeType:'fMOST' IMAGE METADATA: yAxis:'inferior-to-superior', zAxis:'anterior-to-posterior', Number:'1, gray', displayColor:'(0.8, 0.8, 0.8)', stepSizeX:'0.35 micron/pixel', stepSizeY:'0.35 micron/pixel', stepSizeZ:'1 micron/pixel'
DOI: 10.17632/7tcss39myf.1
title: Quality of life correlations in patients with Erythropoietic Protoporphyria and X-Linked Protoporphyria on Afamelanotide: A retrospective cohort study - Supplemental Figure 1

description: Investigating the impact of therapeutic response to afamelanotide on quality of life in patients with erythropoietic protoporphyria and x-linked protoporphyria.
DOI: 10.17632/cty7g94xyn.1
title: Correlation between outcomes of timed up and go (TUG) and five times sit to stand (FTSS) tests with trunk stability

description: Raw data of completion time and trunk accelerometry for three versions of the TUG (conventional [TUG-C], dual-task [TUG-DT], and overline [TUG-OL] and the five times sit to stand (FTSS) tests. The first three columns (t1-t3) correspond to data of individual trials and the fourth column corresponds to means (M) for each participant (lines). 
In the current investigation, we assessed older individuals, with the following primary aims: (1) to evaluate the correlation of completion times observed in the FTSS and in different versions of the TUG test with a direct measurement of trunk stability given by accelerometry while performing these tests; (2) to compare completion time and trunk stability of a new version of the TUG test requiring increased dynamic balance with the versions being currently used of this test. As a secondary aim, we evaluated the correlation between tests for both completion time and trunk acceleration to estimate the extent to which performance in one test can predict performance in the others.
The results indicated negative time-acceleration correlations for TUGC (rp = -.71, rp2 =.50, p <.01) and TUGDT (rp = -.77, rp2 =.59, p <.01) and a positive correlation for FTSS (rp =.73, rp2 =.53, p <.01). The TUGOL test failed to show significant time-acceleration correlations. In conclusion, our results suggest that completion time in the FTSS test importantly reflects dynamic balance stability in older individuals.
DOI: 10.17632/rgs22r7s75.2
title: Smart Aquaculture Dashboard

description: This is data from the development of IoT for smart aquaculture, this data is used as information that will be displayed on the smart dashboard and used as analysis material for aquaculture farmers
DOI: 10.17632/c5zbpwhrd7.1
title: LINF_300007200

description: hypothetical protein - conserved
Leishmania infantum (strain JPCM5)
DOI: 10.17632/r79msnv8cm.1
title: LINF_300007100

description: ribosomal RNA adenine dimethylase family protein | DIM1
Leishmania infantum (strain JPCM5)
DOI: 10.17632/zkx7dgf9s4.1
title: De Campos_et_al._Geoderma

description: Abstract: Bauxites evolved from unusual parent rocks in quartzite-dominated landscapes have not been previously reported. At the Southern Espinhaço Range, Minas Gerais, Brazil, bauxitic weathering profiles are found in a unique geomorphological-lithological-climatic setting. Resistant quartzites acted as a barrier against erosion and facilitated deep weathering of hematite-phyllite units. The long-term exposure of the hematite-phyllites under alternating wet and dry tropical climates favored widespread bauxitization. Here we investigate the geochemical, mineralogical, geochronological and micromorphological signatures of scaffolded bauxites in order to reconstruct their evolutionary history. Our data suggests that recurrent aluminum and iron mobilization within the profiles were mainly driven by mineral dissolution-reprecipitation mediated by bioturbation and the influx of vegetation-derived organic species. (U–Th)/He geochronology of Al-goethite reveals bauxitization started at least since the Lower Miocene, with important intensification of weathering in the Upper Miocene and Lower Pleistocene. The adjacent resilient quartzites acted as scaffolds for bauxitization and supported the preservation of ancient landscape features. The evolutionary history of Southern Espinhaço Range bauxites suggests a new model of bauxitization in ancient landsurfaces.

Supplementary Data 1: Geochemistry
Supplementary Data 2: Mineralogy
Supplementary Data 3: Electron Microprobe Thin Sections
Supplementary Data 4: Electron Microprobe Goethites
Supplementary Data 5: (U-Th)/He geochronology
DOI: 10.17632/hjv2t3bzzx.1
title: Metabolomics study of cat small intestine during the early stage of Toxoplasma gondii oocyst formation identifies potential biomarkers -raw datas pos mode

description: Toxoplasma gondii is a zoonotic intracellular protozoan parasite that can invade, replicate and survive in almost all cells of warm-blooded animals. Toxoplasmosis can fatally threaten immunocompromised individuals and pregnant women. As the only definitive host of T. gondii, felids spread the pathogen mainly by forming oocysts in the small intestines and discharging the oocysts into the ambient environment, consequently polluting water, vegetables, and meat products. In this study, we used untargeted metabolomics technology to study the changes in metabolites that occurred during the early stage of oocyst formation in the cat small intestine following T. gondii infection and attempted to identify metabolic biomarkers that could potentially be used as diagnostic molecular markers in the future. Domestic cats (Felis catus) were infected with T. gondii Pru tissue cysts, and samples of their small intestinal epithelium were collected at 2 and 4 days post-infection (DPI) for metabolic analysis. LC-MS/MS and multivariate statistical analysis were employed to detect metabolomic signatures that discriminated between the infected and control groups. A total of 1,673 ions and 1,201 ions were obtained in the positive and negative modes, respectively. Of these ions, 175 were up-regulated and 127 were down-regulated in the positive ion mode; whereas, 123 were up-regulated and 81 were down-regulated in the negative ion mode. Three commonly altered ions (0.74_313.0414m/z, 8.82_615.2621m/z and 8.16_325.2362m/z) were determined to have potential research value. Seventy common metabolic pathways were enriched at two time points, with arginine biosynthesis, pyrimidine metabolism, pantothenate and CoA biosynthesis being the three most significant pathways related to T. gondii. The area under the curve (AUC) of differential metabolites combined with relevant literature analysis showed that N-Methylpelletierine and 3,3-Difluoro-17-methyl-5alpha-androstan-17beta-ol have higher predictability and better potential application value than other metabolites. Our analysis of metabolic markers during the early stage of T. gondii oocyst formation in the small intestine of the definitive host (cat) provided novel insight for understanding oocyst development and a theoretical basis for the application of potential biomarkers.
DOI: 10.35077/ace-zip
title: fMOST_cells_190365

description: This dataset comes from combining genetic labeling with fMOST to achieve a genetically targeted single neuron saturation screen of major classes of cortical projection neurons in the sensorimotor system.
description: Imaging: TDI; Virus: AAV
description: DATASET METADATA: title:'fMOST_cells_190365', GeneralModality:'cell morphology', Technique:'fMOST; neuron morphology reconstruction' SPECIMEN METADATA: LocalID:'190365', Species:'mouse', NCBITaxonomy:'NCBI:txid10090', Age:'21', Ageunit:'Weeks', Sex:'Female', Genotype:'FEZF2-CreER*lsl-flp', OrganName:'Brain', Locations:'SSp' INSTRUMENT METADATA: MicroscopeType:'fMOST' IMAGE METADATA: yAxis:'inferior-to-superior', zAxis:'anterior-to-posterior', Number:'1, gray', displayColor:'(0.8, 0.8, 0.8)', stepSizeX:'0.35 micron/pixel', stepSizeY:'0.35 micron/pixel', stepSizeZ:'1 micron/pixel'
DOI: 10.35077/ace-ace
title: fMOST_cells_190366

description: This dataset comes from combining genetic labeling with fMOST to achieve a genetically targeted single neuron saturation screen of major classes of cortical projection neurons in the sensorimotor system.
description: Imaging: TDI; Virus: AAV
description: DATASET METADATA: title:'fMOST_cells_190366', GeneralModality:'cell morphology', Technique:'fMOST; neuron morphology reconstruction' SPECIMEN METADATA: LocalID:'190366', Species:'mouse', NCBITaxonomy:'NCBI:txid10090', Age:'21', Ageunit:'Weeks', Sex:'Male', Genotype:'FEZF2-CreER*lsl-flp', OrganName:'Brain', Locations:'Mop' INSTRUMENT METADATA: MicroscopeType:'fMOST' IMAGE METADATA: yAxis:'inferior-to-superior', zAxis:'anterior-to-posterior', Number:'1, gray', displayColor:'(0.8, 0.8, 0.8)', stepSizeX:'0.35 micron/pixel', stepSizeY:'0.35 micron/pixel', stepSizeZ:'1 micron/pixel'
DOI: 10.35077/ace-act
title: fMOST_cells_190367

description: This dataset comes from combining genetic labeling with fMOST to achieve a genetically targeted single neuron saturation screen of major classes of cortical projection neurons in the sensorimotor system.
description: Imaging: TDI; Virus: AAV
description: DATASET METADATA: title:'fMOST_cells_190367', GeneralModality:'cell morphology', Technique:'fMOST; neuron morphology reconstruction' SPECIMEN METADATA: LocalID:'190367', Species:'mouse', NCBITaxonomy:'NCBI:txid10090', Age:'21', Ageunit:'Weeks', Sex:'Male', Genotype:'FEZF2-CreER*lsl-flp', OrganName:'Brain', Locations:'Mop' INSTRUMENT METADATA: MicroscopeType:'fMOST' IMAGE METADATA: yAxis:'inferior-to-superior', zAxis:'anterior-to-posterior', Number:'1, gray', displayColor:'(0.8, 0.8, 0.8)', stepSizeX:'0.35 micron/pixel', stepSizeY:'0.35 micron/pixel', stepSizeZ:'1 micron/pixel'
DOI: 10.35077/ace-add
title: fMOST_cells_190908

description: This dataset comes from combining genetic labeling with fMOST to achieve a genetically targeted single neuron saturation screen of major classes of cortical projection neurons in the sensorimotor system.
description: Imaging: TDI; Virus: AAV
description: DATASET METADATA: title:'fMOST_cells_190908', GeneralModality:'cell morphology', Technique:'fMOST; neuron morphology reconstruction' SPECIMEN METADATA: LocalID:'190908', Species:'mouse', NCBITaxonomy:'NCBI:txid10090', Age:'22', Ageunit:'Weeks', Sex:'Female', Genotype:'PlexinD1-creER', OrganName:'Brain', Locations:'Mop' INSTRUMENT METADATA: MicroscopeType:'fMOST' IMAGE METADATA: yAxis:'inferior-to-superior', zAxis:'anterior-to-posterior', Number:'1, gray', displayColor:'(0.8, 0.8, 0.8)', stepSizeX:'0.35 micron/pixel', stepSizeY:'0.35 micron/pixel', stepSizeZ:'1 micron/pixel'
DOI: 10.35077/ace-age
title: fMOST_cells_191171

description: This dataset comes from combining genetic labeling with fMOST to achieve a genetically targeted single neuron saturation screen of major classes of cortical projection neurons in the sensorimotor system.
description: Imaging: TDI; Virus: AAV
description: DATASET METADATA: title:'fMOST_cells_191171', GeneralModality:'cell morphology', Technique:'fMOST; neuron morphology reconstruction' SPECIMEN METADATA: LocalID:'191171', Species:'mouse', NCBITaxonomy:'NCBI:txid10090', Age:'14', Ageunit:'Weeks', Sex:'Male', Genotype:'Fezf2-2A-CreER*LSL-Flpo', OrganName:'Brain', Locations:'MOp' INSTRUMENT METADATA: MicroscopeType:'fMOST' IMAGE METADATA: yAxis:'inferior-to-superior', zAxis:'anterior-to-posterior', Number:'1, gray', displayColor:'(0.8, 0.8, 0.8)', stepSizeX:'0.35 micron/pixel', stepSizeY:'0.35 micron/pixel', stepSizeZ:'1 micron/pixel'
DOI: 10.5281/zenodo.6799335
title: Data for "Diverging fates of the Pacific Ocean oxygen minimum zone and its core in a warming world" (2022, AGU Advances)

description: Preprocessed Plotting Data to reproduce Figures from "Diverging fates of the Pacific Ocean oxygen minimum zone and its core in a warming world" (2022, AGU Advances)
DOI: 10.5281/zenodo.6799334
title: Data for "Diverging fates of the Pacific Ocean oxygen minimum zone and its core in a warming world" (2022, AGU Advances)

description: Preprocessed Plotting Data to reproduce Figures from "Diverging fates of the Pacific Ocean oxygen minimum zone and its core in a warming world" (2022, AGU Advances)
DOI: 10.35077/ace-aim
title: fMOST_cells_191175

description: This dataset comes from combining genetic labeling with fMOST to achieve a genetically targeted single neuron saturation screen of major classes of cortical projection neurons in the sensorimotor system.
description: Imaging: TDI; Virus: AAV
description: DATASET METADATA: title:'fMOST_cells_191175', GeneralModality:'cell morphology', Technique:'fMOST; neuron morphology reconstruction' SPECIMEN METADATA: LocalID:'191175', Species:'mouse', NCBITaxonomy:'NCBI:txid10090', Age:'14', Ageunit:'Weeks', Sex:'Male', Genotype:'Fezf2-2A-CreER*LSL-Flpo', OrganName:'Brain', Locations:'M2' INSTRUMENT METADATA: MicroscopeType:'fMOST' IMAGE METADATA: yAxis:'inferior-to-superior', zAxis:'anterior-to-posterior', Number:'1, gray', displayColor:'(0.8, 0.8, 0.8)', stepSizeX:'0.35 micron/pixel', stepSizeY:'0.35 micron/pixel', stepSizeZ:'1 micron/pixel'
DOI: 10.35077/ace-air
title: fMOST_cells_191178

description: This dataset comes from combining genetic labeling with fMOST to achieve a genetically targeted single neuron saturation screen of major classes of cortical projection neurons in the sensorimotor system.
description: Imaging: TDI; Virus: AAV
description: DATASET METADATA: title:'fMOST_cells_191178', GeneralModality:'cell morphology', Technique:'fMOST; neuron morphology reconstruction' SPECIMEN METADATA: LocalID:'191178', Species:'mouse', NCBITaxonomy:'NCBI:txid10090', Age:'14', Ageunit:'Weeks', Sex:'Female', Genotype:'Fezf2-2A-CreER*LSL-Flpo', OrganName:'Brain', Locations:'SSp' INSTRUMENT METADATA: MicroscopeType:'fMOST' IMAGE METADATA: yAxis:'inferior-to-superior', zAxis:'anterior-to-posterior', Number:'1, gray', displayColor:'(0.8, 0.8, 0.8)', stepSizeX:'0.35 micron/pixel', stepSizeY:'0.35 micron/pixel', stepSizeZ:'1 micron/pixel'
DOI: 10.6084/m9.figshare.20232948.v1
title: Shrink SCAP data

description: SCAP temp data shrinked
DOI: 10.6084/m9.figshare.20232948
title: Shrink SCAP data

description: SCAP temp data shrinked
DOI: 10.5281/zenodo.6799476
title: Dataset of the research article "A semi-automated analysis of displacement-to-length scaling of the grabens affecting lunar Floor-Fractured craters"

description: This dataset includes all the raster data (DEM, orthoimage, slope) and vectors (shapefiles) used in our research, investigating the relationships between displacement and length of the faults affecting Lunar Floor-Fractured craters.
DOI: 10.5281/zenodo.6143686
title: Dataset of the research article "A semi-automated analysis of displacement-to-length scaling of the grabens affecting lunar Floor-Fractured craters"

description: This dataset includes all the raster data (DEM, orthoimage, slope) and vectors (shapefiles) used in our research, investigating the relationships between displacement and length of the faults affecting Lunar Floor-Fractured craters.
DOI: 10.35077/ace-and
title: fMOST_cells_191179

description: This dataset comes from combining genetic labeling with fMOST to achieve a genetically targeted single neuron saturation screen of major classes of cortical projection neurons in the sensorimotor system.
description: Imaging: TDI; Virus: AAV
description: DATASET METADATA: title:'fMOST_cells_191179', GeneralModality:'cell morphology', Technique:'fMOST; neuron morphology reconstruction' SPECIMEN METADATA: LocalID:'191179', Species:'mouse', NCBITaxonomy:'NCBI:txid10090', Age:'24', Ageunit:'Weeks', Sex:'Female', Genotype:'Fezf2-2A-CreER*LSL-Flpo', OrganName:'Brain', Locations:'SSp' INSTRUMENT METADATA: MicroscopeType:'fMOST' IMAGE METADATA: yAxis:'inferior-to-superior', zAxis:'anterior-to-posterior', Number:'1, gray', displayColor:'(0.8, 0.8, 0.8)', stepSizeX:'0.35 micron/pixel', stepSizeY:'0.35 micron/pixel', stepSizeZ:'1 micron/pixel'
DOI: 10.6084/m9.figshare.19626690.v2
title: Supplementary Table 1

description: List of eligible studies used in our literature review, with their corresponding DOI when applied.
DOI: 10.35077/ace-ant
title: fMOST_cells_191182

description: This dataset comes from combining genetic labeling with fMOST to achieve a genetically targeted single neuron saturation screen of major classes of cortical projection neurons in the sensorimotor system.
description: Imaging: TDI; Virus: AAV
description: DATASET METADATA: title:'fMOST_cells_191182', GeneralModality:'cell morphology', Technique:'fMOST; neuron morphology reconstruction' SPECIMEN METADATA: LocalID:'191182', Species:'mouse', NCBITaxonomy:'NCBI:txid10090', Age:'32', Ageunit:'Weeks', Sex:'Female', Genotype:'Fezf2-2A-CreER*LSL-Flpo', OrganName:'Brain', Locations:'Mop' INSTRUMENT METADATA: MicroscopeType:'fMOST' IMAGE METADATA: yAxis:'inferior-to-superior', zAxis:'anterior-to-posterior', Number:'1, gray', displayColor:'(0.8, 0.8, 0.8)', stepSizeX:'0.35 micron/pixel', stepSizeY:'0.35 micron/pixel', stepSizeZ:'1 micron/pixel'
DOI: 10.5281/zenodo.6644633
title: Customizable Visualization of Quality Metrics for Object-Oriented Variability Implementations - Artifact

description: This archive contains all the README files documenting the artifact (https://doi.org/10.5281/zenodo.6644449) to reproduce the results presented in the "Customizable Visualization of Quality Metrics for Object-Oriented Variability Implementations" paper presented at SPLC 2022. It also contains: the codebases of JFreeChart before and after the maintenance actions presented in section 5.2, with the corresponding diff file, as well as excerpts of the SonarQube analysis of both projects showing the information presented in table 3; the Excel file used to obtain the data presented in the table 2. An exhaustive description of the archive can be found in the README.md file.
DOI: 10.35077/ace-ape
title: fMOST_cells_191183

description: This dataset comes from combining genetic labeling with fMOST to achieve a genetically targeted single neuron saturation screen of major classes of cortical projection neurons in the sensorimotor system.
description: Imaging: TDI; Virus: AAV
description: DATASET METADATA: title:'fMOST_cells_191183', GeneralModality:'cell morphology', Technique:'fMOST; neuron morphology reconstruction' SPECIMEN METADATA: LocalID:'191183', Species:'mouse', NCBITaxonomy:'NCBI:txid10090', Age:'32', Ageunit:'Weeks', Sex:'Female', Genotype:'Fezf2-2A-CreER*LSL-Flpo', OrganName:'Brain', Locations:'Mop' INSTRUMENT METADATA: MicroscopeType:'fMOST' IMAGE METADATA: yAxis:'inferior-to-superior', zAxis:'anterior-to-posterior', Number:'1, gray', displayColor:'(0.8, 0.8, 0.8)', stepSizeX:'0.35 micron/pixel', stepSizeY:'0.35 micron/pixel', stepSizeZ:'1 micron/pixel'
DOI: 10.5281/zenodo.6799604
title: Perron_et_al_2022_Supplementary_Datasets

description: Supplementary datasets for Perron et al.: "A map of RBP-miRNA regulatory connections for deciphering the mechanisms of transcriptome remodeling in cancer ".
DOI: 10.35077/ace-arm
title: fMOST_cells_191184

description: This dataset comes from combining genetic labeling with fMOST to achieve a genetically targeted single neuron saturation screen of major classes of cortical projection neurons in the sensorimotor system.
description: Imaging: TDI; Virus: AAV
description: DATASET METADATA: title:'fMOST_cells_191184', GeneralModality:'cell morphology', Technique:'fMOST; neuron morphology reconstruction' SPECIMEN METADATA: LocalID:'191184', Species:'mouse', NCBITaxonomy:'NCBI:txid10090', Age:'28', Ageunit:'Weeks', Sex:'Female', Genotype:'Fezf2-2A-CreER*LSL-Flpo', OrganName:'Brain', Locations:'SSP' INSTRUMENT METADATA: MicroscopeType:'fMOST' IMAGE METADATA: yAxis:'inferior-to-superior', zAxis:'anterior-to-posterior', Number:'1, gray', displayColor:'(0.8, 0.8, 0.8)', stepSizeX:'0.35 micron/pixel', stepSizeY:'0.35 micron/pixel', stepSizeZ:'1 micron/pixel'
DOI: 10.6084/m9.figshare.20103794
title: Data.xls

description: The dataset assesses post-COVID symptoms of recovered patients in Vietnam. The survey was designed to investigate the damages of COVID on the long-term health of the patients and factors associated with post-COVID symptoms. The survey included 18 items, in which 6 items explored the demographics of respondents, and the remaining 12 items evaluated clinical characteristics such as infection characteristics, the prevalence of post-COVID symptoms, and comorbidities. The online questionnaire was distributed directly in post-COVID-19 health examination sites. The data collection was completed from May 2022, including 17,093 respondents, of which 13,313 completed records were analyzed. This description of the dataset presents demographic characteristics of the survey sample and descriptive analysis of survey items. The dataset provides insights into the long-term effects of coronavirus to help researchers develop healthcare services and response strategies during a novel phase of the fight against COVID-19