cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.t2wccg
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Quercus mesto Boiss."
 ]
}

 The dataset includes 9 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012411-190918142434337/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.treqap
title: Occurrence Download

description: A dataset containing 163614 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Country is one of (Canada, Mexico, United States of America)",
 "EventDate is greater than or equal to 2024-02-22",
 "EventDate is less than or equal to 2024-03-23",
 {
 "not" : {
 "Issue" : [
 "is one of (Basis of record invalid, Coordinate reprojection failed, Coordinate reprojection suspicious, Coordinate precision invalid, Coordinate uncertainty meters invalid, Country mismatch, Country invalid, Geodetic datum invalid, Presumed swapped coordinate, Presumed negated longitude, Presumed negated latitude, Country coordinate mismatch)"
 ]
 }
 }
 ]
}

 The dataset includes 163614 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031942-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b6zhd8
title: Occurrence Download

description: A dataset containing 15753 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dama dama (Linnaeus, 1758)",
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "Year is greater than or equal to 1500"
 ]
}

 The dataset includes 15753 records from 73 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014384-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.23708/dabawd
title: Replication data and scripts for: Ancient dolphin genomes reveal rapid repeated adaptation to coastal waters

description: This dataset includes the data and scripts supporting the replicability of the paper: Louis M.*, Korlević P.*, Nykänen M.*, Archer F., Berrow S., Brownload A., Lorenzen E. D., O’Brien J., Post K., Racimo F., Rogan E., Rosel P. E., Sinding M.-H. S., van der Es H., Wales N., Fontaine M. C.**, Gaggiotti O. E.**, Foote A. D.** Ancient dolphin genomes reveal rapid repeated adaptation to coastal waters. Nature Communications, in press. (*joint first author ; **joint senior author) Parallel evolution provides among the strongest evidence of the role of natural selection in shaping adaptation to the local environment. Yet, the chronology, mode and tempo of the process of parallel evolution remains broadly debated and discussed in the field of evolutionary biology. In this study, we harness the temporal resolution of paleogenomics to understand the tempo and independence of parallel coastal ecotype adaptation in common bottlenose dolphins (Tursiops truncatus). For this, we generated whole genome re-sequencing data from subfossil dolphins (8,610-5,626 years BP) originating from around the formation time of new coastal habitat and compared them with data from contemporary populations.
DOI: 10.15468/dl.d9huxm
title: Occurrence Download

description: A dataset containing 1909 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Clerodendrum chinense (Osbeck) Mabb."
 ]
}

 The dataset includes 1909 records from 109 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014386-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pxwe9t
title: Occurrence Download

description: A dataset containing 3486 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Clerodendrum cyrtophyllum Turcz."
 ]
}

 The dataset includes 3486 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014387-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.11543343
title: Dataset associated with paper "Comprehensive genetic and epigenetic characterization of Lynch-Like Syndrome patients."

description: Dataset associated with paper "Comprehensive genetic and epigenetic characterization of Lynch-Like Syndrome patients."

This set of raw data cannot be made publicy available, but might be made available to interested researcher upon reasonable request. Please forward your request to open.science@irst.emr.it or/and l.calzari@auxologico.it.

Description

This dataset contains the B-values obtained from the Infinium MethylationEPIC (v1.0) BeadChip analysis for Lynch, Lynch-like, sporadic cases, and controls.

DNA from whole blood was extracted from peripheral blood lymphocytes of individuals (Automated Extractor, Tecan Group Ltd. and Wizard Genomic DNA Purification Kit (Ref: A1125), Promega). Quality control and quantification of DNA was assessed by using NanoPhotometer Pearl (Implen GmbH). Bisulfite converted DNA was amplified, fragmented and hybridised to Illumina Infinium Human Methylation EPIC Beadchip using standard Illumina protocols. Fluorescence intensities were captured by using the fluorescent scanner Illumina HiScan SQ (Illumina). Quality control, pre-processing and generation of β-values matrix were performed by using the ChAMP package (release 2.32.0) package, implemented R environment (version 4.3.1): after the quality control/pre-processing step, 740840 probes and 123 samples were retained (Lynch, n=32; Lynch-Like, n=32; Sporadic. N=30; Controls, n= 29). After BMIQ normalization, data were adjusted for batch effect by using ComBat library.
DOI: 10.5281/zenodo.11543344
title: Dataset associated with paper "Comprehensive genetic and epigenetic characterization of Lynch-Like Syndrome patients."

description: Dataset associated with paper "Comprehensive genetic and epigenetic characterization of Lynch-Like Syndrome patients."

This set of raw data cannot be made publicy available, but might be made available to interested researcher upon reasonable request. Please forward your request to open.science@irst.emr.it or/and l.calzari@auxologico.it.

Description

This dataset contains the B-values obtained from the Infinium MethylationEPIC (v1.0) BeadChip analysis for Lynch, Lynch-like, sporadic cases, and controls.

DNA from whole blood was extracted from peripheral blood lymphocytes of individuals (Automated Extractor, Tecan Group Ltd. and Wizard Genomic DNA Purification Kit (Ref: A1125), Promega). Quality control and quantification of DNA was assessed by using NanoPhotometer Pearl (Implen GmbH). Bisulfite converted DNA was amplified, fragmented and hybridised to Illumina Infinium Human Methylation EPIC Beadchip using standard Illumina protocols. Fluorescence intensities were captured by using the fluorescent scanner Illumina HiScan SQ (Illumina). Quality control, pre-processing and generation of β-values matrix were performed by using the ChAMP package (release 2.32.0) package, implemented R environment (version 4.3.1): after the quality control/pre-processing step, 740840 probes and 123 samples were retained (Lynch, n=32; Lynch-Like, n=32; Sporadic. N=30; Controls, n= 29). After BMIQ normalization, data were adjusted for batch effect by using ComBat library.
DOI: 10.15468/dl.6r87pm
title: Occurrence Download

description: A dataset containing 254 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Myrmecophila christinae Carnevali & Gómez-Juárez)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 254 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014388-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wrbben
title: Occurrence Download

description: A dataset containing 9687 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is flower visitor interactions 2008"
 ]
}

 The dataset includes 9687 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014390-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.36xzcr
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((55.05542 -0.97056,139.94458 -0.97056,139.94458 32.97056,55.05542 32.97056,55.05542 -0.97056))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Pseudocaryopteris paniculata (C.B.Clarke) P.D.Cantino"
 ]
}

 The dataset includes 7 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014391-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h4t8my
title: Occurrence Download

description: A dataset containing 34 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((83.77771 17.51472,126.22229 17.51472,126.22229 34.48528,83.77771 34.48528,83.77771 17.51472))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Schnabelia aureoglandulosa (Vaniot) P.D.Cantino"
 ]
}

 The dataset includes 34 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014392-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14161984
title: Attention-based frontal-posterior coupling for visual consciousness in the human brain

description: DataCode_Fig1_Attentional_Capture_Image_Detectability.m

DataCode_Fig1_Attentional_Capture_Image_Detectability.mat

DataCode_FigS2_Attentional_Capture_Image_Detecability.mat



.m Code (1) using .mat Data (2 and 3) illustrate main behavioral findings in our manuscript. Panel figures shown in Figure.1 and Figure.S2 could be well replicated using these materials.



Au_Step06_0601_unit_2C.m

Au_Step06_0601_unit_mC.m

Train_DSVM_xilei.m

Classify_DSVM.m

svmclassify.m

svmtrain_xilei.m



.m Code (4) and .m code (5) using child .m functions (6, 7, 8 and 9) illustrate core codes used to discriminate neural pattern differences on a 2-class issue (image presence versus image absence) or a 3-class issue (animal, object or face), respectively. 



Note_Location_activeChannels_distanceTest.m

Note_Location_activeChannels_distanceTest.mat

Note_Location_activeChannels.mat



.m Code (10) using .mat Data (11 and 12) illustrate our method used to calculate distance between responsive contacts. Based on that, we also made a statistical inference against a chance-level distribution. Panel figure shown in Figure.2F could be well replicated using these materials.



easy_ImgC.m



.m Code (13) illustrate our method used to calculate imaginary coherence between responsive contacts. A Rayleigh Z correction was also performed and outputed.



easy_visibility.m



.m Code (14) illustrate our method used to calculate an index of visibility from which measures of interest tied to an invisible image was subtracted from that of a visible image.
DOI: 10.5281/zenodo.14161985
title: Attention-based frontal-posterior coupling for visual consciousness in the human brain

description: DataCode_Fig1_Attentional_Capture_Image_Detectability.m

DataCode_Fig1_Attentional_Capture_Image_Detectability.mat

DataCode_FigS2_Attentional_Capture_Image_Detecability.mat



.m Code (1) using .mat Data (2 and 3) illustrate main behavioral findings in our manuscript. Panel figures shown in Figure.1 and Figure.S2 could be well replicated using these materials.



Au_Step06_0601_unit_2C.m

Au_Step06_0601_unit_mC.m

Train_DSVM_xilei.m

Classify_DSVM.m

svmclassify.m

svmtrain_xilei.m



.m Code (4) and .m code (5) using child .m functions (6, 7, 8 and 9) illustrate core codes used to discriminate neural pattern differences on a 2-class issue (image presence versus image absence) or a 3-class issue (animal, object or face), respectively. 



Note_Location_activeChannels_distanceTest.m

Note_Location_activeChannels_distanceTest.mat

Note_Location_activeChannels.mat



.m Code (10) using .mat Data (11 and 12) illustrate our method used to calculate distance between responsive contacts. Based on that, we also made a statistical inference against a chance-level distribution. Panel figure shown in Figure.2F could be well replicated using these materials.



easy_ImgC.m



.m Code (13) illustrate our method used to calculate imaginary coherence between responsive contacts. A Rayleigh Z correction was also performed and outputed.



easy_visibility.m



.m Code (14) illustrate our method used to calculate an index of visibility from which measures of interest tied to an invisible image was subtracted from that of a visible image.
DOI: 10.5281/zenodo.14162322
title: Dataset for "Validation of SSDE calculation in a modern CT scanner and correlation with effective dose"
DOI: 10.5281/zenodo.14162323
title: Dataset for "Validation of SSDE calculation in a modern CT scanner and correlation with effective dose"
DOI: 10.15468/dl.vth458
title: Occurrence Download

description: A dataset containing 11242 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Aquarius remigis (Say, 1832))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 11242 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014393-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ub74z2
title: Occurrence Download

description: A dataset containing 757133 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "DatasetKey is EOD – eBird Observation Dataset",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Cyanistes caeruleus (Linnaeus, 1758)",
 "Year 1983-2024"
 ]
}

 The dataset includes 757133 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014353-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.11581783
title: Effects of changing snow- and ice cover conditions on phytoplankton biomass and community composition in a mesotrophic lake

description: All data files used to produce the results from the script: https://github.com/EllinorJakobsson/Jakobsson_et_al_Erken_winter_phytoplankton.
DOI: 10.5281/zenodo.11581782
title: Effects of changing snow and ice cover conditions on phytoplankton chlorophyll-a and community composition in a mesotrophic lake

description: All data files used to produce the results from the script: https://github.com/EllinorJakobsson/Jakobsson_et_al_Erken_winter_phytoplankton.

This updated version contains metadata for each file.
DOI: 10.5281/zenodo.14161356
title: Effects of changing snow and ice cover conditions on phytoplankton chlorophyll-a and community composition in a mesotrophic lake

description: All data files used to produce the results from the script: https://github.com/EllinorJakobsson/Jakobsson_et_al_Erken_winter_phytoplankton.

This updated version contains metadata for each file.
DOI: 10.15468/dl.egx4m9
title: Occurrence Download

description: A dataset containing 93 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((72.89804 17.06497,140.10196 17.06497,140.10196 43.93503,72.89804 43.93503,72.89804 17.06497))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Schnabelia nepetifolia (Benth.) P.D.Cantino"
 ]
}

 The dataset includes 93 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014397-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ah6bn8
title: Occurrence Download

description: A dataset containing 105 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((87.50919 21.30761,133.49081 21.30761,133.49081 39.69239,87.50919 39.69239,87.50919 21.30761))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Schnabelia oligophylla Hand.-Mazz."
 ]
}

 The dataset includes 105 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014398-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xjnudg
title: Occurrence Download

description: A dataset containing 597 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dama dama (Linnaeus, 1758)",
 "Country is Italy",
 "Year is greater than or equal to 1500"
 ]
}

 The dataset includes 597 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014396-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57967/hf/3505
title: NFT-Net
DOI: 10.5281/zenodo.14162587
title: CLDF dataset derived from Greenhill's "TransNewGuinea.org" from 2015

description: Cite the source of the dataset as:




Greenhill, Simon J. (2015): TransNewGuinea.org: An Online Database of New Guinea Languages. PLoS ONE 10.10: e0141563.
DOI: 10.5281/zenodo.2634950
title: CLDF dataset derived from Greenhill's "TransNewGuinea.org" from 2015

description: Cite the source dataset as Greenhill SJ. 2015. TransNewGuinea.org: An Online Database of New Guinea Languages. PLoS ONE 10(10): e0141563. http://transnewguinea.org.
DOI: 10.5281/zenodo.3268577
title: CLDF dataset derived from Greenhill's "TransNewGuinea.org" from 2015

description: Cite the source dataset as Greenhill SJ. 2015. TransNewGuinea.org: An Online Database of New Guinea Languages. PLoS ONE 10(10): e0141563. http://transnewguinea.org.
DOI: 10.5281/zenodo.5141620
title: CLDF dataset derived from Greenhill's "TransNewGuinea.org" from 2015

description: Cite the source of the dataset as: Greenhill, Simon J. (2015): TransNewGuinea.org: An Online Database of New Guinea Languages. PLoS ONE 10.10: e0141563.
DOI: 10.5281/zenodo.8248653
title: CLDF dataset derived from Greenhill's "TransNewGuinea.org" from 2015

description: Cite the source of the dataset as: Greenhill, Simon J. (2015): TransNewGuinea.org: An Online Database of New Guinea Languages. PLoS ONE 10.10: e0141563.
DOI: 10.5281/zenodo.2634949
title: CLDF dataset derived from Greenhill's "TransNewGuinea.org" from 2015

description: Cite the source of the dataset as:




Greenhill, Simon J. (2015): TransNewGuinea.org: An Online Database of New Guinea Languages. PLoS ONE 10.10: e0141563.
DOI: 10.17632/xjcr5k4c9t.1
title: Dataset of Sentinel-1 SAR and Sentinel-2 NDVI Imagery

description: The data set consists of filtered and processed GeoTIFF (.tif) images taken from the Google Earth Engine catalog. The data provided is a main folder that contains the images and an Excel file called Data.xlsx that contains the information with which the image collections are filtered and processed, in addition to some properties such as averages of percentage of vegetation, cloudiness and water. The intention of the data is to seek generality so that it can be taught to a supervised artificial intelligence model.

In the main folder there are 3 subfolders that contain the cropped images with a size of 512x512 pixels, within the 'SAR' subfolder there are 2 folders that are the polarizations delivered by Sentinel-1. The data was collected automatically using Google Colaboratory.It should be noted that SAR images and their corresponding optical and NDVI images are provided, this means that the 4 images (VV-VH-OPTICAL-NDVI) are in the same area.
DOI: 10.17632/xjcr5k4c9t.2
title: Dataset of Sentinel-1 SAR and Sentinel-2 NDVI Imagery

description: The data set consists of filtered and processed GeoTIFF (.tif) images taken from the Google Earth Engine catalog. The data provided is a main folder that contains the images and an Excel file called Data.xlsx that contains the information with which the image collections are filtered and processed, in addition to some properties such as averages of percentage of vegetation, cloudiness and water. The intention of the data is to seek generality so that it can be taught to a supervised artificial intelligence model.

In the main folder there are 3 subfolders that contain the cropped images with a size of 512x512 pixels, within the 'SAR' subfolder there are 2 folders that are the polarizations delivered by Sentinel-1. The data was collected automatically using Google Colaboratory.It should be noted that SAR images and their corresponding optical and NDVI images are provided, this means that the 4 images (VV-VH-OPTICAL-NDVI) are in the same area.
DOI: 10.17632/xjcr5k4c9t.3
title: Dataset of Sentinel-1 SAR and Sentinel-2 NDVI Imagery

description: The data set consists of filtered and processed GeoTIFF (.tif) images taken from the Google Earth Engine catalog. The data provided is a main folder that contains the images and an Excel file called Data.xlsx that contains the information with which the image collections are filtered and processed, in addition to some properties such as averages of percentage of vegetation, cloudiness and water. The intention of the data is to seek generality so that it can be taught to a supervised artificial intelligence model.

In the main folder there are 3 subfolders that contain the cropped images with a size of 512x512 pixels, within the 'SAR' subfolder there are 2 folders that are the polarizations delivered by Sentinel-1. The data was collected automatically using Google Colaboratory.It should be noted that SAR images and their corresponding optical and NDVI images are provided, this means that the 4 images (VV-VH-OPTICAL-NDVI) are in the same area.
DOI: 10.17632/sr6zmg49v7.1
title: Prevalence of Urolithiasis in Children from the EMRO Region: A Systematic Review and Meta-Analysis

description: Urolithiasis in children is associated with high recurrence rates and complications, and its prevalence has been rising in recent decades due to metabolic and non-metabolic risk factors. This study aimed to evaluate the prevalence of pediatric urolithiasis in the EMRO region. This systematic review was conducted using international databases, including Scopus, PubMed/MEDLINE, Web of Science, Embase, and ProQuest, covering available data up to the end of August 2024. The Cochran test and I² statistics were applied to assess study heterogeneity. Additional analyses were performed using STATA software version 14.