cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25403/upresearchdata.21711194
title: Radio sources below the detection threshold and classified active galactic nuclei in the COSMOS field

description: The dataset used to select active galactic nucleus (AGN) candidates is labelled as <strong>G_all.csv.</strong> The two datasets selected by the two ensembles of neural controllers are labelled as <strong>G_0_ensemble.csv</strong> and <strong>G_all_ensemble.csv</strong> respectively. The dataset of detected AGN is labelled as <strong>agn.csv.</strong> In these four datasets, each source is described by the following columns: ra (right ascension) dec (declination) z (photmetric redshift) sfr (star-formation rate [log solar mass per year]) mass (stellar mass [log solar mass]) ks (Ks aperture magnitude) The final four columns are the IRAC filters, with the values following the underscore indicating the band (in units of micrometer): S_3.6 S_4.5 S_5.8 S_8.0 The values for these fields are extracted from the COSMOS2015 multiwavelength catalogue. A non-detection in any of the fields is indicated by the 'NA' keyword. The .fits files for the four radiomaps are also attached: VLA 3GHz VLA 3GHz smoothed VLA 1.4 GHz MeerKAT
DOI: 10.5281/zenodo.7125695
title: IODAQ Exploration Data Set

description: This repository contains the data underlying the results concerning the exploration of reactions starting from iodine and water presented in Türtscher, P. L.; Reiher, M. <strong>2022 </strong><em>arXiv:2209.04039 [physics.chem-ph].</em>
DOI: 10.6084/m9.figshare.21623148.v1
title: Spatial genomics datasets

description: Spatial genomics datasets used for the spaVAE study. <br> Human_DLPFC.zip: LIBD human dorsolateral prefrontal cortex (DLPFC) data <br> Mouse_hippocampus_Slide_seq_v2.h5: mouse hippocampus Slide-seq V2 data <br> Mouse_olfactory_bulb_data.zip: mouse olfactory bulb data <br> HER2_breast_tumor_data.zip: HER2 breast tumor data <br> Multiomics_DBiT_seq_0713_data.h5: mouse embryonic brain DBiT-seq multiomics data <br> mouse_brain_10X_dataset.zip: 10X dataset of anterior and posterior of mouse brain
DOI: 10.6084/m9.figshare.20456724
title: Data and R code corresponding to publication: "The impact of alcohol taxation increase on all-cause mortality inequalities in Lithuania: an interrupted time series analysis" [first submission]

description: The data sets contain aggregated mortality data, i.e., monthly mortality death counts by sex, age, and education and yearly mortality death counts by sex, age, education, and cause-of-death grouping, as well as all covariate data used in the time series analyses. The data sets also contains the R code used to analyse the data.
DOI: 10.6084/m9.figshare.20456724.v1
title: Data and R code corresponding to publication: "The impact of alcohol taxation increase on all-cause mortality inequalities in Lithuania: an interrupted time series analysis"

description: The data sets contain aggregated mortality data, i.e., monthly mortality death counts by sex, age, and education and yearly mortality death counts by sex, age, education, and cause-of-death grouping, as well as all covariate data used in the time series analyses. The data sets also contains the R code used to analyse the data.
DOI: 10.6084/m9.figshare.21749270
title: Unique fallback food selection in nonhuman primates

description: This datas inculed:1) nutritional and chemical components of two lichen, 2) The times of <em>R.bieti </em>feed two lichen species in different month, 3) Mean temperature of each monthe and 4) Food availability index (FAI) of two lichen species in habitat.
DOI: 10.6084/m9.figshare.21749270.v2
title: Unique fallback food selection in nonhuman primates

description: This datas inculed the nutritional and chemical components of two lichen, <em>R.bieti </em>feeding time in different month, Mean temperature of each monthe, and FAI of their habitat.
DOI: 10.6084/m9.figshare.21404643
title: Genotype_files

description: Genotype data sets in binary plink format
DOI: 10.6084/m9.figshare.21404643.v2
title: Genotype_files

description: Genotype data sets in binary plink format
DOI: 10.6084/m9.figshare.21404643.v1
title: Genotype_files

description: Genotype data sets in binary plink format
DOI: 10.5281/zenodo.7456919
title: Reco Dataset

description: This is for testing zenodo
DOI: 10.5281/zenodo.7456918
title: Reco Dataset

description: This is for testing zenodo
DOI: 10.5281/zenodo.7456231
title: Attribution Signals from Five Android Markets

description: Attribution signals extracted from five major Android markets (Google Play, Baidu, APKMonk, Tencent, APKMirror). The data has been collected by a crawler, deployed at difference instances between December 2019 and November 2021. The data set consists of 4,978,937 records and is provided as a single JSON file compressed using bzip2. An individual "market entry" (i.e., a unique set of signals associated with a single publication version of an app on a market) can have multiple records, as the data set is provided in 'long' form, with each signing certificate associated with the market entry is contained in its own record. Each record containing the following properties: <strong>Signal</strong> <strong>Description</strong> market_entry_id Unique identifier for the record pkg_name Package name (prioritizes package name from APK file over the web page reported package name) internal_market_id The internal identifier used by the market (as part of the URL) market The market this record was collected from timestamp Timestamp of the collection of the market entry file_sha256 The SHA256 hash of the APK file from which the signals are extracted meta_version The reported reported by the meta data on web page description app_name The name of the app extract from the meta data developer_name The name of the publishing developer developer_website The website of the publishing developer developer_email The email address of the publishing developer developer_address The physical address of the publishing developer meta_pkg_name The package name extracted from the app web page privacy_policy_url The privacy policy URL cert_sha256 The SHA256 hash of the certificate used to sign the APK subject_c The “country” field extracted from the subject of the signing certificate subject_s The “state” field extracted from the subject of the signing certificate subject_o The “organisation” field extracted from the subject of the signing certificate subject_l The “locale” field extracted from the subject of the signing certificate subject_ou The “organisation unit” field extracted from the subject of the signing certificate subject_cn The “common name” field extracted from the subject of the signing certificate self_signed True if the signing certificate is self-signed, False otherwise cert_version The Android signing version of the certificate apk_version_code The version code of the APK apk_pkg_name The package name extracted from the APK file apk_app_name The app name extracted from the APK file market_id Identifier that combines the "pkg_name" and "internal_market_id". Deprecated field (use 'market_entry_id' instead)
DOI: 10.5281/zenodo.7456230
title: Attribution Signals from Five Android Markets

description: Attribution signals extracted from five major Android markets (Google Play, Baidu, APKMonk, Tencent, APKMirror). The data has been collected by a crawler, deployed at difference instances between December 2019 and November 2021. The data set consists of 4,978,937 records and is provided as a single JSON file compressed using bzip2. An individual "market entry" (i.e., a unique set of signals associated with a single publication version of an app on a market) can have multiple records, as the data set is provided in 'long' form, with each signing certificate associated with the market entry is contained in its own record. Each record containing the following properties: <strong>Signal</strong> <strong>Description</strong> market_entry_id Unique identifier for the record pkg_name Package name (prioritizes package name from APK file over the web page reported package name) internal_market_id The internal identifier used by the market (as part of the URL) market The market this record was collected from timestamp Timestamp of the collection of the market entry file_sha256 The SHA256 hash of the APK file from which the signals are extracted meta_version The reported reported by the meta data on web page description app_name The name of the app extract from the meta data developer_name The name of the publishing developer developer_website The website of the publishing developer developer_email The email address of the publishing developer developer_address The physical address of the publishing developer meta_pkg_name The package name extracted from the app web page privacy_policy_url The privacy policy URL cert_sha256 The SHA256 hash of the certificate used to sign the APK subject_c The “country” field extracted from the subject of the signing certificate subject_s The “state” field extracted from the subject of the signing certificate subject_o The “organisation” field extracted from the subject of the signing certificate subject_l The “locale” field extracted from the subject of the signing certificate subject_ou The “organisation unit” field extracted from the subject of the signing certificate subject_cn The “common name” field extracted from the subject of the signing certificate self_signed True if the signing certificate is self-signed, False otherwise cert_version The Android signing version of the certificate apk_version_code The version code of the APK apk_pkg_name The package name extracted from the APK file apk_app_name The app name extracted from the APK file market_id Identifier that combines the "pkg_name" and "internal_market_id". Deprecated field (use 'market_entry_id' instead)
DOI: 10.1285/i9788883051906pi
title: Copertina
DOI: 10.1285/i9788883051906p1
title: Frontespizio e pagine iniziali
DOI: 10.1285/i9788883051906p3
title: Indice
DOI: 10.6084/m9.figshare.21749690.v1
title: Data Sets S1 to S2.zip

description: Zircon U-Pb analytical data set for the upper Quaternary loess and riverbed sediments on the eastern and central Chinese Loess Plateau (Data Set S1), and Data Set for the upper Quaternary loess and modern riverbed sediments on the eastern and central CLP, the Quaternary loess on the western and central CLP, the deserts around the CLP, and the potential source areas for loess (Data Set S2)
DOI: 10.6084/m9.figshare.21749690
title: Data Sets S1 to S2.zip

description: Zircon U-Pb analytical data set for the upper Quaternary loess and riverbed sediments on the eastern and central Chinese Loess Plateau (Data Set S1), and Data Set for the upper Quaternary loess and modern riverbed sediments on the eastern and central CLP, the Quaternary loess on the western and central CLP, the deserts around the CLP, and the potential source areas for loess (Data Set S2)
DOI: 10.1285/i9788883051906p5
title: Premessa
DOI: 10.1285/i9788883051906p7
title: Note
DOI: 10.1285/i9788883051906p11
title: La donna romana
DOI: 10.6084/m9.figshare.21665598.v2
title: Lumican modulates adipocyte function in obesity-associated type 2 diabetes

description: Obesity-associated type 2 diabetes (DM) leads to adipose tissue dysfunction. Lumican is a proteoglycan implicated in obesity, insulin resistance (IR), and adipocyte dysfunction. Using human visceral adipose tissue (VAT) from subjects with and without DM, we studied lumican effects on adipocyte function. Lumican was increased in VAT and adipocytes in DM. Lumican knockdown in adipocytes decreased lipolysis and improved adipogenesis and insulin sensitivity in VAT adipocytes in DM, while treatment with human recombinant lumican increased lipolysis and impaired insulin-sensitivity in an ERK-dependent manner. We demonstrate that lumican impairs adipocyte metabolism, partially via ERK signalling, and is a potential target for developing adipose tissue-targeted therapeutics in DM.
DOI: 10.1285/i9788883051906p25
title: Le donne nella Halacha
DOI: 10.57745/9msbu0
title: anoPed_c.tab

description: This file contains the initial pedigree used to assess the estimated breeding value for the 401 individuals of POPgs, after pedigree correction. The first column contains the identifier of each individual, the second and third columns refer to the mother and the father documented in the corrected pedigree. The fourth column gives the generation to which the individual belongs.
DOI: 10.57745/lacv8q
title: anoPed_i.tab

description: This file contains the initial pedigree used to assess the estimated breeding value for the 401 individuals of POPgs. The first column contains the identifier of each individual, the second and third columns refer to the mother and the father documented in the initial pedigree. The fourth column gives the generation to which the individual belongs.
DOI: 10.57745/p2evag
title: dEBVc_DBH.txt

description: This file contains the deregressed estimated breeding values for DBH, using all phenotypic data available (G0-G1-G2), and a corrected pedigree. The first column refers to the identifier of the 401 individuals of POPgs, and the second column contains the deregressed estimated breeding value.
DOI: 10.57745/casxl7
title: dEBVc_HT.txt

description: This file contains the deregressed estimated breeding values for HT, using all phenotypic data available (G0-G1-G2), and a corrected pedigree. The first column refers to the identifier of the 401 individuals of POPgs, and the second column contains the deregressed estimated breeding value.
DOI: 10.57745/fxzghv
title: dEBVc_SV.txt

description: This file contains the deregressed estimated breeding values for SV, using all phenotypic data available (G0-G1-G2), and a corrected pedigree. The first column refers to the identifier of the 401 individuals of POPgs, and the second column contains the deregressed estimated breeding value.
DOI: 10.57745/olf1oy
title: dEBVc_T01_DBH.txt

description: This file contains the deregressed estimated breeding values for DBH, using only phenotypic data from the first (G0) and second (G1) generation, and a corrected pedigree. The first column refers to the identifier of 398 individuals of POPgs (3 individuals were not evaluated), and the second column contains the deregressed estimated breeding value.
DOI: 10.57745/nausf5
title: dEBVc_T01_HT.txt

description: This file contains the deregressed estimated breeding values for HT, using only phenotypic data from the first (G0) and second (G1) generation, and a corrected pedigree. The first column refers to the identifier of 398 individuals of POPgs (3 individuals were not evaluated), and the second column contains the deregressed estimated breeding value.
DOI: 10.57745/o6qyka
title: dEBVc_T2_DBH.txt

description: This file contains the deregressed estimated breeding values for DBH, using only phenotypic data from the last generation (G2), and a corrected pedigree. The first column refers to the identifier of 313 individuals of POPgs (88 individuals were not evaluated), and the second column contains the deregressed estimated breeding value.
DOI: 10.57745/wdu8w3
title: dEBVc_T01_SV.txt

description: This file contains the deregressed estimated breeding values for SV, using only phenotypic data from the first (G0) and second (G1) generation, and a corrected pedigree. The first column refers to the identifier of 398 individuals of POPgs (3 individuals were not evaluated), and the second column contains the deregressed estimated breeding value.
DOI: 10.57745/kv9vvn
title: dEBVc_T2_HT.txt

description: This file contains the deregressed estimated breeding values for HT, using only phenotypic data from the last generation (G2), and a corrected pedigree. The first column refers to the identifier of 313 individuals of POPgs (88 individuals were not evaluated), and the second column contains the deregressed estimated breeding value.
DOI: 10.57745/wwpwhy
title: dEBVc_T2_SV.txt

description: This file contains the deregressed estimated breeding values for SV, using only phenotypic data from the last generation (G2), and a corrected pedigree. The first column refers to the identifier of 313 individuals of POPgs (88 individuals were not evaluated), and the second column contains the deregressed estimated breeding value.
DOI: 10.57745/v3od3k
title: dEBVi_DBH.txt

description: This file contains the deregressed estimated breeding values for DBH, using all phenotypic data available (G0-G1-G2), and the initial pedigree. The first column refers to the identifier of the 401 individuals of POPgs, and the second column contains the deregressed estimated breeding value.
DOI: 10.57745/rrlhy2
title: dEBVi_HT.txt

description: This file contains the deregressed estimated breeding values for HT, using all phenotypic data available (G0-G1-G2), and the initial pedigree. The first column refers to the identifier of the 401 individuals of POPgs, and the second column contains the deregressed estimated breeding value.
DOI: 10.57745/vkmzle
title: dEBVi_SV.txt

description: This file contains the deregressed estimated breeding values for SV, using all phenotypic data available (G0-G1-G2), and the initial pedigree. The first column refers to the identifier of the 401 individuals of POPgs, and the second column contains the deregressed estimated breeding value.
DOI: 10.57745/inopoo
title: anoGenodata.txt

description: This files contains the molecular profiles for the 401 individuals of POPgs on the 14,716 SNPs used for the genomic predictions analysis. The first column refers to the identifier and the remaining columns are the molecular profiles at each locus (coded as "0" for major allele homozygous, "1" for heterozygous , and "2" for minor allele homozyous). Missing values are coded as "-9 "
DOI: 10.57745/wywkju
title: Euc72K_Annotation.txt

description: This file contains information about the Euc72K array used for the genotyping of POPgs. It gives the probeset identifier used by Affymetrix at each of the 68,055 SNPs of the array, and provides information regarding their physical position on the genome, the stranding and flanking sequences, the type of allelic polymorphism, and the reference alleles.
DOI: 10.57745/mhqlbj
title: anoGenodataATCG.txt

description: This files contains the molecular profiles for the 401 individuals of POPgs on the 14.716 SNPs used for the genomic predictions analysis. The first column refers to the identifier, the remaining columns are the molecular profiles at each locus. The molecular profile is coded according to the base call (A, T, C, G). Missing values are coded as "---'. Alleles observed at a given locus are separated by "/".
DOI: 10.34856/eos-rs_202209_vietnam_typhoon_noru
title: EOS-RS Flood Proxy Maps: Northern Central Coast, Vietnam, Typhoon Noru, Sep 2022

description: The Earth Observatory of Singapore - Remote Sensing Lab (EOS-RS) created preliminary Flood Proxy Maps (FPM) covering Northern Central coast of Vietnam due to Typhoon Noru which made landfall on 28 Sep 2022. These maps were derived from synthetic aperture radar (SAR) images acquired by the ALOS-2 satellites operated by the Japan Aerospace Exploration Agency (JAXA).
DOI: 10.34856/eos-rs_202209_philippines_typhoon_noru
title: EOS-RS Flood Proxy Maps: Luzon, Philippines, Typhoon Noru, Sep 2022

description: The Earth Observatory of Singapore - Remote Sensing Lab (EOS-RS) created preliminary Flood Proxy Maps (FPM) covering Luzon, Philippines due to Typhoon Noru (Karding) which made landfall on 25 Sep 2022. These maps was derived from synthetic aperture radar (SAR) images acquired by the ALOS-2 satellites operated by the Japan Aerospace Exploration Agency (JAXA).
DOI: 10.34856/eos-rs_202209_china_sichuan_earthquake
title: EOS-RS Damage Proxy Maps: Sichuan, China, Earthquake, 7 Sep 2022

description: The Earth Observatory of Singapore - Remote Sensing Lab (EOS-RS) created preliminary Damage Proxy Maps (DPM) covering Sichuan Province, China due to the M6.6 Earthquake that occurred on 5 Sep 2022. These maps were derived from synthetic aperture radar (SAR) images acquired by the Copernicus Sentinel-1 satellites operated by the European Space Agency (ESA).
DOI: 10.6084/m9.figshare.21749651
title: Data and R code corresponding to publication: "The impact of alcohol taxation increase on all-cause mortality inequalities in Lithuania: an interrupted time series analysis" [after revision - published]

description: Presented are the data and the R codes required to obtain the findings published in the study "The impact of alcohol taxation increase on all-cause mortality inequalities in Lithuania: an interrupted time series analysis" <br> Authors: Jakob Manthey, Domantas Jasilionis, Huan Jiang, Olga Meščeriakova, Janina Petkevičienė, Ričardas Radišauskas, Mindaugas Štelemėkas, Jürgen Rehm
DOI: 10.5283/epub.51516
title: Data archive of "Anisotropic vortex squeezing in synthetic Rashba superconductors: a manifestation of Lifshitz invariants"

description: Data archive of the article "Anisotropic vortex squeezing in synthetic Rashba superconductors: a manifestation of Lifshitz invariants" - preprint available at https://arxiv.org/abs/2201.02512
DOI: 10.34856/eos-rs_202209_taiwan_earthquake
title: EOS-RS Damage Proxy Maps: Taiwan, Earthquake, 22 Sep 2022

description: The Earth Observatory of Singapore - Remote Sensing Lab (EOS-RS) created preliminary Damage Proxy Maps (DPM) covering Taiwan due to the M6.9 Earthquake that occurred on 18 Sep 2022. These maps were derived from synthetic aperture radar (SAR) images acquired by the Copernicus Sentinel-1 satellites operated by the European Space Agency and ALOS-2 satellites operated by the Japan Aerospace Exploration Agency (JAXA).
DOI: 10.34856/eos-rs_202209_papuanewguinea_earthquake
title: EOS-RS Damage Proxy Maps: Papua New Guinea, Earthquake, 13 Sep 2022

description: The Earth Observatory of Singapore - Remote Sensing Lab (EOS-RS) created these Damage Proxy Maps (DPM) covering Papua New Guinea due to the M7.6 Earthquake that occurred on 11 Sep 2022. These maps were derived from synthetic aperture radar (SAR) images acquired by the Copernicus Sentinel-1 satellites operated by the European Space Agency (ESA).
DOI: 10.34856/eos-rs_202208_pakistan_floods
title: EOS-RS Flood and Damage Proxy Maps: Pakistan, Floods, Aug 2022

description: The Earth Observatory of Singapore - Remote Sensing Lab (EOS-RS) created preliminary Flood Proxy Maps (FPM) and Damage Proxy Maps (DPM) covering Pakistan due to heavy monsoon rains. These maps were derived from synthetic aperture radar (SAR) images acquired by the Copernicus Sentinel-1 satellites operated by the European Space Agency (ESA)  and the ALOS-2 satellites operated by the Japan Aerospace Exploration Agency (JAXA).
DOI: 10.34856/eos-rs_202207_philippines_earthquake
title: EOS-RS Damage Proxy Maps and Interferograms: Northern Luzon, Philippines, Earthquake, 2 Aug 2022

description: The Earth Observatory of Singapore - Remote Sensing Lab (EOS-RS) created preliminary Damage Proxy Maps (DPM) and Interferograms covering northern Luzon in the Philippines due to the Mw 7.0 earthquake that occurred on 27 Jul 2022 in Tayum, Abra. These maps were derived from synthetic aperture radar (SAR) images acquired by the Copernicus Sentinel-1 satellites operated by the European Space Agency (ESA).
DOI: 10.34856/eos-rs_202207_australia_floods
title: EOS-RS Flood Proxy Maps: New South Wales, Australia, Floods, Jul 2022

description: The Earth Observatory of Singapore - Remote Sensing Lab (EOS-RS) created preliminary Flood Proxy Maps (FPM) covering Sydney, New South Wales, Australia due to heavy rains. These maps were derived from synthetic aperture radar (SAR) images acquired by the Copernicus Sentinel-1 satellites operated by the European Space Agency (ESA).
DOI: 10.6084/m9.figshare.21729152
title: The results datasets from global water availability

description: This is the resulting datasets from global land water availability. <br>