cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.35078/b53hiu/plt6fl
title: Canavial B.jpg

description: :unav
DOI: 10.35078/2uj40k/qpqici
title: Santo Antônio A.jpg

description: :unav
DOI: 10.35078/b53hiu/3ycyc6
title: Charco A.jpg

description: :unav
DOI: 10.35078/2uj40k/erlgkj
title: Itamarandiba III B.jpg

description: :unav
DOI: 10.35078/b53hiu/yah0kh
title: Morro Vermelho B.jpg

description: :unav
DOI: 10.35078/2uj40k/67rvwq
title: Barra Mato Grande B.jpg

description: :unav
DOI: 10.35078/2uj40k/hviaid
title: Mariana B.jpg

description: :unav
DOI: 10.35078/b53hiu/zadsck
title: Mesquita B.jpg

description: :unav
DOI: 10.35078/2uj40k/usigmw
title: Córrego Pindaíba A.jpg

description: :unav
DOI: 10.35078/b53hiu/qp6id6
title: Nossa Senhora do Rosário B.jpg

description: :unav
DOI: 10.35078/2uj40k/bhagqo
title: José Cordeiro B.jpg

description: :unav
DOI: 10.35078/b53hiu/m4dt0p
title: Gabiroba A.jpg

description: :unav
DOI: 10.35078/b53hiu/o5q6zf
title: Boticário A.jpg

description: :unav
DOI: 10.35078/2uj40k/lxyb9v
title: Córrego do Palmital A.jpg

description: :unav
DOI: 10.35078/b53hiu/ysuf3g
title: Sotério A.jpg

description: :unav
DOI: 10.35078/2uj40k/mehfqw
title: Barra do Palmital I A.jpg

description: :unav
DOI: 10.35078/b53hiu/mlwtul
title: DICIONARIO_KARDEX_PROGRAMA_CONTROLE_DOENÇA_CHAGAS.pdf

description: Dicionário para interpretação da ficha epidemiologica (Kardex)
DOI: 10.35078/2uj40k/xludow
title: Canabrava A.jpg

description: :unav
DOI: 10.35078/2uj40k/r8qxfw
title: Bigode B.jpg

description: :unav
DOI: 10.35078/2uj40k/joizop
title: Córrego Mirante B.jpg

description: :unav
DOI: 10.35078/2uj40k/yjag9m
title: Grota do Palmital A.jpg

description: :unav
DOI: 10.35078/2uj40k/bxybrd
title: Pingo B.jpg

description: :unav
DOI: 10.35078/2uj40k/64q6bv
title: Córrego do Cemitério B.jpg

description: :unav
DOI: 10.35078/2uj40k/j4eed5
title: Barra do Bananal A.jpg

description: :unav
DOI: 10.35078/2uj40k/r7cbpd
title: Peixe Cru A.jpg

description: :unav
DOI: 10.35078/2uj40k/bzqvcl
title: Morro Redondo B.jpg

description: :unav
DOI: 10.35078/2uj40k/1sdumj
title: Córrego Mato Virgem A.jpg

description: :unav
DOI: 10.35078/2uj40k/cx98ch
title: Engenho I A.jpg

description: :unav
DOI: 10.35078/2uj40k/t9halk
title: Manga A.jpg

description: :unav
DOI: 10.35078/2uj40k/omw1ua
title: Gomes A.jpg

description: :unav
DOI: 10.35078/2uj40k/r2uyzk
title: Grota do Estreito A.jpg

description: :unav
DOI: 10.35078/2uj40k/13o5nj
title: Córrego da Laje B.jpg

description: :unav
DOI: 10.35078/2uj40k/qufh1y
title: Cabeceira Queixada A.jpg

description: :unav
DOI: 10.35078/2uj40k/eop2rj
title: Gurutuba A.jpg

description: :unav
DOI: 10.35078/2uj40k/ryjdcn
title: Córrego Macacos A.jpg

description: :unav
DOI: 10.35078/2uj40k/o54gr9
title: Ponte do Funil B.jpg

description: :unav
DOI: 10.35078/2uj40k/zjhfas
title: Barra Queixada A.jpg

description: :unav
DOI: 10.35078/2uj40k/haihus
title: Barra da Taquara B.jpg

description: :unav
DOI: 10.35078/2uj40k/hwsyqd
title: Canabrava B.jpg

description: :unav
DOI: 10.35078/2uj40k/pzrlfp
title: Cabeceira do Sumidouro A.jpg

description: :unav
DOI: 10.35078/2uj40k/awolmp
title: Córrego do Engenho I A.jpg

description: :unav
DOI: 10.35078/2uj40k/lbmsnw
title: Mato Grande B.jpg

description: :unav
DOI: 10.35078/2uj40k/owtorc
title: Mucunan B.jpg

description: :unav
DOI: 10.35078/2uj40k/levomw
title: Córrego Grande II A.jpg

description: :unav
DOI: 10.35078/2uj40k/4u2m7z
title: Santo Antônio B.jpg

description: :unav
DOI: 10.35078/2uj40k/9urupa
title: Grota Carlos Roberto B.jpg

description: :unav
DOI: 10.35078/2uj40k/rjleqs
title: Córrego do Sobrado A.jpg

description: :unav
DOI: 10.35078/2uj40k/uo0ghl
title: Buracão B.jpg

description: :unav
DOI: 10.35078/2uj40k/6erds9
title: Campo Alegre II B.jpg

description: :unav
DOI: 10.35078/2uj40k/knmqxj
title: Terra Branca A.jpg

description: :unav
DOI: 10.35078/2uj40k/olwbk8
title: Campo do Buriti A.jpg

description: :unav
DOI: 10.35078/2uj40k/e1hnp9
title: Barra Boa Vista B.jpg

description: :unav
DOI: 10.35078/2uj40k/itk9zt
title: Porto Santana I B.jpg

description: :unav
DOI: 10.35078/2uj40k/1k1its
title: Barra do Palmital A.jpg

description: :unav
DOI: 10.35078/2uj40k/uwksix
title: Encantado B.jpg

description: :unav
DOI: 10.35078/2uj40k/vqntbf
title: Grota do Salomão B.jpg

description: :unav
DOI: 10.35078/2uj40k/1bvsox
title: Mariana A.jpg

description: :unav
DOI: 10.35078/2uj40k/i9hhis
title: Cabeceira do Encantado B.jpg

description: :unav
DOI: 10.35078/2uj40k/jlztop
title: Córrego do Lourenço A.jpg

description: :unav
DOI: 10.35078/2uj40k/mfnipe
title: Córrego Pindaíba B.jpg

description: :unav
DOI: 10.35078/2uj40k/j8zdna
title: Monte Alegre II B.jpg

description: :unav
DOI: 10.35078/2uj40k/gidl34
title: Mato Grande A.jpg

description: :unav
DOI: 10.35078/2uj40k/ndsmdy
title: Jacuba B.jpg

description: :unav
DOI: 10.35078/2uj40k/m1kvja
title: Soares A.jpg

description: :unav
DOI: 10.35078/2uj40k/vo1dbw
title: Baú A.jpg

description: :unav
DOI: 10.35078/2uj40k/3rpemn
title: Suzano A.jpg

description: :unav
DOI: 10.35078/2uj40k/taacek
title: Campo Alegre I A.jpg

description: :unav
DOI: 10.35078/2uj40k/f9buhh
title: Jacuba A.jpg

description: :unav
DOI: 10.35078/2uj40k/ajy2q9
title: Faveira I B.jpg

description: :unav
DOI: 10.35078/2uj40k/zebvlv
title: Buraco A.jpg

description: :unav
DOI: 10.35078/2uj40k/1k1i9k
title: Córrego Buracão A.jpg

description: :unav
DOI: 10.35078/2uj40k/juurkz
title: Barra Mato Grande A.jpg

description: :unav
DOI: 10.35078/2uj40k/88sh8a
title: Córrego do Palmital B.jpg

description: :unav
DOI: 10.35078/2uj40k/4wscwq
title: Cabeceira do Poço D'antas B.jpg

description: :unav
DOI: 10.35078/2uj40k/cjjr05
title: Papudinho A.jpg

description: :unav
DOI: 10.35078/2uj40k/3mgze2
title: Degredo A.jpg

description: :unav
DOI: 10.35078/2uj40k/k3jswr
title: Cafezal B.jpg

description: :unav
DOI: 10.35078/2uj40k/t8ent9
title: Barra do Lamba B.jpg

description: :unav
DOI: 10.35078/2uj40k/egl263
title: Cór. Grande A.jpg

description: :unav
DOI: 10.35078/2uj40k/ikdf2l
title: Cór. Nunes B.jpg

description: :unav
DOI: 10.35078/2uj40k/1hx6he
title: Aninha Gomes A.jpg

description: :unav
DOI: 10.35078/2uj40k/1vssag
title: Corujas A.jpg

description: :unav
DOI: 10.35078/2uj40k/f6wujt
title: Macedo B.jpg

description: :unav
DOI: 10.35078/2uj40k/hcmdwi
title: São Miguel A.jpg

description: :unav
DOI: 10.35078/2uj40k/ps9kjo
title: Córrego Farias B.jpg

description: :unav
DOI: 10.35078/2uj40k/aomi5f
title: Bucaina B.jpg

description: :unav
DOI: 10.35078/2uj40k/cxlbtu
title: Grota dos Criminosos A.jpg

description: :unav
DOI: 10.35078/2uj40k/xsixlf
title: Grota do Bengo A.jpg

description: :unav
DOI: 10.35078/2uj40k/rjpkri
title: Caquente II B.jpg

description: :unav
DOI: 10.35078/2uj40k/moxc9r
title: Córrego Fundo A.jpg

description: :unav
DOI: 10.35078/2uj40k/6zuqyn
title: Itamarandiba V B.jpg

description: :unav
DOI: 10.35078/2uj40k/jpelye
title: Buraco B.jpg

description: :unav
DOI: 10.35078/2uj40k/ojtjhl
title: Barra Cór. do Engenho B.jpg

description: :unav
DOI: 10.35078/2uj40k/ngcxot
title: Caxambu A.jpg

description: :unav
DOI: 10.35078/2uj40k/j5dwad
title: Corujas B.jpg

description: :unav
DOI: 10.35078/2uj40k/qoxxvz
title: Aninha Gomes B.jpg

description: :unav
DOI: 10.35078/2uj40k/ulcyme
title: Cór. das Pedras Pretas B.jpg

description: :unav
DOI: 10.35078/2uj40k/jqhjdi
title: Cabeceira do Bananal B.jpg

description: :unav
DOI: 10.35078/2uj40k/afz7ko
title: Córrego Três Irmãos B.jpg

description: :unav
DOI: 10.35078/2uj40k/hpxu0c
title: Ponte Alta A.jpg

description: :unav
DOI: 10.35078/2uj40k/asvwgt
title: Vereda da Estivinha A.jpg

description: :unav
DOI: 10.35078/2uj40k/6gnkk5
title: Córrego Roça Grande A.jpg

description: :unav
DOI: 10.35078/2uj40k/u8dvie
title: Córrego Grande B.jpg

description: :unav
DOI: 10.35078/2uj40k/ajxc55
title: Capão da Emburana A.jpg

description: :unav
DOI: 10.35078/2uj40k/zlitco
title: Cabeceira do Poço D'antas A.jpg

description: :unav
DOI: 10.35078/2uj40k/5xkqgm
title: Vila Nova B.jpg

description: :unav
DOI: 10.35078/2uj40k/uuf99r
title: Luiz França Maciel A.jpg

description: :unav
DOI: 10.35078/2uj40k/gfcrhz
title: Córrego do Tanque I A.jpg

description: :unav
DOI: 10.35078/2uj40k/ghyw4r
title: Itamarandiba IV B.jpg

description: :unav
DOI: 10.35078/2uj40k/kqdup1
title: Córrego Contendas A.jpg

description: :unav
DOI: 10.35078/2uj40k/tjqamy
title: Córrego do Gentil I A.jpg

description: :unav
DOI: 10.35078/2uj40k/mfr74t
title: Monte Alegre I A.jpg

description: :unav
DOI: 10.35078/2uj40k/izr5ie
title: Cab. Rib. das Posses B.jpg

description: :unav
DOI: 10.35078/2uj40k/zs8tmx
title: Mato Virgem A.jpg

description: :unav
DOI: 10.35078/2uj40k/6nalzj
title: Pontezinha A.jpg

description: :unav
DOI: 10.35078/2uj40k/x6xanr
title: Itamarandiba IV A.jpg

description: :unav
DOI: 10.35078/2uj40k/yocl7m
title: Córrego do Ouro I B.jpg

description: :unav
DOI: 10.35078/2uj40k/cko645
title: Tingui B.jpg

description: :unav
DOI: 10.35078/2uj40k/w17z7u
title: Caxambu B.jpg

description: :unav
DOI: 10.35078/2uj40k/smp9ql
title: Tingui A.jpg

description: :unav
DOI: 10.35078/2uj40k/i140zm
title: Suzano B.jpg

description: :unav
DOI: 10.35078/2uj40k/wuyd2v
title: Córrego do Engenho I B.jpg

description: :unav
DOI: 10.35078/2uj40k/b2cbzg
title: Caquente I A.jpg

description: :unav
DOI: 10.35078/2uj40k/goz5lo
title: Barra do Jacubá II B.jpg

description: :unav
DOI: 10.35078/2uj40k/2kjyq2
title: Córrego do Lourenço B.jpg

description: :unav
DOI: 10.35078/2uj40k/frezz9
title: Engenho B.jpg

description: :unav
DOI: 10.35078/2uj40k/ddja05
title: Córrego Mendonça B.jpg

description: :unav
DOI: 10.35078/2uj40k/qwpnnv
title: Salto A.jpg

description: :unav
DOI: 10.35078/2uj40k/brz2gb
title: Porto Santana A.jpg

description: :unav
DOI: 10.35078/2uj40k/kkgfxn
title: DICIONARIO_KARDEX_PROGRAMA_CONTROLE_DOENÇA_CHAGAS.pdf

description: Dicionário para interpretação da ficha epidemiologica (Kardex)
DOI: 10.5281/zenodo.6473881
title: Gut metabolites predict Clostridioides difficile recurrence

description: This repository contains: 1. Data used for analyses from: A) 16S rRNA gene amplicon analysis after paired-end Fastq files were truncated, filtered, denoised, and merged ["1-ASV_Counts.xlsx"] B) Untargeted metabolomics as provided by Metabolon ["2-UntargetedMetabolomics.xlsx"] C) Precision SCFA analysis ["3-PrecisionSCFA.xlsx"] D) Clincal demographic data of the study cohort ["Clinical Demographics.csv"] 2. Detailed results of univariate analyses in sub-folder "Univariate analysis results" for clinical data, untargeted metabolomics data, SCFAs, and ASVs 3. Detailed results of predictive analysis in subfolder "Predictive Analyses results", including per-fold performance results ("9-PredictiveResults.xlsx") and analysis of predictive features for ASVs ("10-ASVsPredictiveAnalysis.xlsx"), untargeted metabolites ("11-MetabsPredictiveAnalysis.xlsx"), targeted SCFAs ("12-SCFAPredictive Analysis.xlsx"), clinical data ("13-DemoPredictiveAnalysis.xlsx") and all data ("14-AllDataPredictiveAnalysis.xlsx") 4. Data for generating all figures and analyses in the publication ("GenFigure&AnalysesData")
DOI: 10.5281/zenodo.6385653
title: Gut metabolites predict Clostridioides difficile recurrence

description: This repository contains: 1. Data used for analyses from: A) 16S rRNA gene amplicon analysis after paired-end Fastq files were truncated, filtered, denoised, and merged ["1-ASV_Counts.xlsx"] B) Untargeted metabolomics as provided by Metabolon ["2-UntargetedMetabolomics.xlsx"] C) Precision SCFA analysis ["3-PrecisionSCFA.xlsx"] D) Clincal demographic data of the study cohort ["Clinical Demographics.csv"] 2. Detailed results of univariate analyses in sub-folder "Univariate analysis results" for clinical data, untargeted metabolomics data, SCFAs, and ASVs 3. Detailed results of predictive analysis in subfolder "Predictive Analyses results", including per-fold performance results ("9-PredictiveResults.xlsx") and analysis of predictive features for ASVs ("10-ASVsPredictiveAnalysis.xlsx"), untargeted metabolites ("11-MetabsPredictiveAnalysis.xlsx"), targeted SCFAs ("12-SCFAPredictive Analysis.xlsx"), clinical data ("13-DemoPredictiveAnalysis.xlsx") and all data ("14-AllDataPredictiveAnalysis.xlsx") 4. Data for generating all figures and analyses in the publication ("GenFigure&AnalysesData")
DOI: 10.34740/kaggle/dsv/3500622
title: Country Data
DOI: 10.6084/m9.figshare.13056009
title: Ocular Involvement Preceded the Onset of Cutaneous Lesions in Hydroa Vacciniforme-Like Lymphoproliferative Disorder: A Case Report

description: To report a case of ocular involvement associated with hydroa vacciniforme-like lymphoproliferative disorder (HVLPD). A 10-year-old HVLPD boy suffered conjunctivitis, interstitial keratitis, and anterior uveitis sequentially during the whole course. Interestingly, this case manifested initially only with ocular findings, which preceded 1 year earlier than the onset of cutaneous lesions. And his later ocular findings occurred simultaneously with cutaneous lesions. The patient was treated with oral prednisone, ganciclovir, and light protection. Topical corticosteroid drops used to control ocular inflammation. Since then, he has not had any flares of ocular inflammation, and the cutaneous lesions improved. Although corneal nebula had been formed, the vision was still good. Our case was supportive of ocular involvement in HVLPD. Ophthalmologists should be aware of ocular involvement in HVLPD could be preceded the onset of cutaneous lesions, and prudently perform a careful ophthalmic examination at regular intervals to limit long-term sequelae.
DOI: 10.6084/m9.figshare.13056009.v1
title: Ocular Involvement Preceded the Onset of Cutaneous Lesions in Hydroa Vacciniforme-Like Lymphoproliferative Disorder: A Case Report

description: To report a case of ocular involvement associated with hydroa vacciniforme-like lymphoproliferative disorder (HVLPD). A 10-year-old HVLPD boy suffered conjunctivitis, interstitial keratitis, and anterior uveitis sequentially during the whole course. Interestingly, this case manifested initially only with ocular findings, which preceded 1 year earlier than the onset of cutaneous lesions. And his later ocular findings occurred simultaneously with cutaneous lesions. The patient was treated with oral prednisone, ganciclovir, and light protection. Topical corticosteroid drops used to control ocular inflammation. Since then, he has not had any flares of ocular inflammation, and the cutaneous lesions improved. Although corneal nebula had been formed, the vision was still good. Our case was supportive of ocular involvement in HVLPD. Ophthalmologists should be aware of ocular involvement in HVLPD could be preceded the onset of cutaneous lesions, and prudently perform a careful ophthalmic examination at regular intervals to limit long-term sequelae.
DOI: 10.25345/c56t0h077
title: MassIVE MSV000089285 - 220420_MT_PlumesBlooms_EnvMetabOrbi
title: Plumes & Blooms Environmental Dataset run on QE in April 2022 by MT.
DOI: 10.6084/m9.figshare.19623819
title: Reliability of Drug History for Verification of Androgen Abuse in Men

description: Analytical methodology of steroid profiling and results of urine steroid profilesfor current, past and non-0users of non-prescribed androgens and related drugs
DOI: 10.3886/icpsr04676.v2
title: National Incident-Based Reporting System, 2003: Extract Files
title: Version 2

description: The National Incident-Based Reporting System (NIBRS) is a part of the Uniform Crime Reporting Program (UCR), administered by the Federal Bureau of Investigation (FBI). The extract files version of NIBRS was created to simplify working with NIBRS data. Data management issues with NIBRS are significant, especially when two or more segment levels are being merged. These issues require skills separate from data analysis. NIBRS data as formatted by the FBI are stored in a single file. These data are organized by various segment levels (record types). There are six main segment levels: administrative, offense, property, victim, offender, and arrestee. Each segment level has a different length and layout. There are other segment levels that occur with less frequency than the six main levels. Significant computing resources are necessary to work with the data in its single-file format. In addition, the user must be sophisticated in working with data in complex file types. For these reasons and the desire to facilitate the use of NIBRS data, ICPSR created the extract files. The data are not a representative sample of crime in the United States.
description: Datasets: DS0: Study-Level Files DS1: Incident-Level File DS2: Victim-Level File DS3: Offender-Level File DS4: Arrestee-Level File
description: Law enforcement agencies in the United States participating in the National Incident-Based Reporting System.
description: self-enumerated questionnaire
DOI: 10.5281/zenodo.5979695
title: Data set from long-term wind and acceleration monitoring of the Gjemnessund Bridge

description: The Gjemnessund Bridge has been monitored by accelerometers and anemometers for almost ten years. The data collected between 2013 and 2018 are now available in this open-access research entry, for free access and download. The data is collected in two h5-files (hierachical data format), with sampling rates 2 Hz and 10 Hz, downsampled from the raw sampling rate of 200 Hz. Some minimal signal processing is applied to the data in line with that applied to the Hardanger Bridge data described in Fenerci et al. (2021) and the Bergsøysund Bridge data described in Kvåle et al. (2022). The structure of the data is identical to that of the latter reference, which is described in a preprint appended to that research entry. The Python package opyndata available on GitHub contains useful tools compatible with the format of the dataset, for data import, processing and visualization.
description: {"references": ["Kv\u00e5le, Knut Andreas, Fenerci, Aksel, Petersen, \u00d8yvind Wiig, R\u00f8nnquist, Anders, & \u00d8iseth, Ole. (2022). Data set from long-term wave, wind and response monitoring of the Bergs\u00f8ysund Bridge [Data set]. Zenodo. https://doi.org/10.5281/zenodo.6065165", "A. Fenerci, K. Andreas Kv\u00e5le, \u00d8. Wiig Petersen, A. R\u00f8nnquist, and O. \u00d8iseth, \"Data Set from Long-Term Wind and Acceleration Monitoring of the Hardanger Bridge,\" J. Struct. Eng., vol. 147, no. 5, p. 04721003, 2021, doi: 10.1061/(asce)st.1943-541x.0002997.", "K. A. Kv\u00e5le. (2022). knutankv/opyndata: Initial release, available on Zenodo (v0.0.2). Zenodo. https://doi.org/10.5281/zenodo.5978358"]}
DOI: 10.5281/zenodo.5979694
title: Data set from long-term wind and acceleration monitoring of the Gjemnessund Bridge

description: The Gjemnessund Bridge has been monitored by accelerometers and anemometers for almost ten years. The data collected between 2013 and 2018 are now available in this open-access research entry, for free access and download. The data is collected in two h5-files (hierachical data format), with sampling rates 2 Hz and 10 Hz, downsampled from the raw sampling rate of 200 Hz. Some minimal signal processing is applied to the data in line with that applied to the Hardanger Bridge data described in Fenerci et al. (2021) and the Bergsøysund Bridge data described in Kvåle et al. (2022). The structure of the data is identical to that of the latter reference, which is described in a preprint appended to that research entry. The Python package opyndata available on GitHub contains useful tools compatible with the format of the dataset, for data import, processing and visualization.
description: {"references": ["Kv\u00e5le, Knut Andreas, Fenerci, Aksel, Petersen, \u00d8yvind Wiig, R\u00f8nnquist, Anders, & \u00d8iseth, Ole. (2022). Data set from long-term wave, wind and response monitoring of the Bergs\u00f8ysund Bridge [Data set]. Zenodo. https://doi.org/10.5281/zenodo.6065165", "A. Fenerci, K. Andreas Kv\u00e5le, \u00d8. Wiig Petersen, A. R\u00f8nnquist, and O. \u00d8iseth, \"Data Set from Long-Term Wind and Acceleration Monitoring of the Hardanger Bridge,\" J. Struct. Eng., vol. 147, no. 5, p. 04721003, 2021, doi: 10.1061/(asce)st.1943-541x.0002997.", "K. A. Kv\u00e5le. (2022). knutankv/opyndata: Initial release, available on Zenodo (v0.0.2). Zenodo. https://doi.org/10.5281/zenodo.5978358"]}
DOI: 10.57764/cm0s-a911
title: COVID-19 Epidemiological and Vaccination Dataset

description: This dataset is a daily snapshot of the Canadian COVID-19 epidemiological
dataset collected by the COVID-19 Canada Open Data Working Group. A team of
volunteers have collected daily data from governmental and non-governmental
sources, including a line list of cases and a time-series of COVID-19
recoveries, testing, and vaccine doses.

Due to the changing nature of COVID-19 coverage in Canada, the dataset was
retired on April 15th, 2022. This dataset contains the final snapshot of the
data.

This dataset is associated with the publication "[A sub-national real-time
epidemiological and vaccination database for the COVID-19 pandemic in
Canada](https://www.nature.com/articles/s41597-021-00955-2)" (Berry et al.,
2021).
DOI: 10.17909/t9-cqtj-y020
title: SDSS Giant Arcs Survey ("SGAS")

description: Strong gravitational lensing models for 37 galaxy clusters from the Sloan Digital Sky Survey Giant Arcs Survey (SGAS) are made available as an HLSP, observed by HST GO13003 Cycle 20 large program (PI: Gladders). The lens models are constructed based on multi-band HST WFC3 imaging. The team supplemented these imaging data with ground-based imaging and spectroscopy from Magellan, Gemini, Apache Point Observatory, and the Multiple Mirror Telescope, in order to detect and spectroscopically confirm new multiply imaged lensed background sources behind the clusters. In the paper that accompanies this data release, Sharon et al. (2020), the team report the list of lensing constraints, and spectroscopic or photometric redshifts of sources in these fields, including cluster galaxies and background sources. The strong lensing mass models are constructed based on all available lensing evidence.

The HLSP include lens model outputs (kappa, gamma) for the best-optimized model and a range of maps drawn from sets in the MCMC that sample the parameter space, from which one can derive lens model properties such as cluster masses, magnification, deflection, and their uncertainties. The models were produced using the parametric lens modeling LENSTOOL (Jullo et al. 2007). The team refers the user to Sharon et al. (2020) for detailed information on the construction of the lens models, assessment of the quality of each model, and caveats. The team cautions the user that the derived lens models span a wide range of quality, which depends on the availability of constraints and the limitations due to lensing geometry. Users should consult the paper before making use of any model product.