cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc27531l
title: CCDC 2060478: Experimental Crystal Structure Determination

description: Related Article: Svetlana K. Vorontsova, Igor V. Zavarzin, Valerii Z. Shirinian, Eugene I. Bozhenko, Olga E. Andreeva, Danila V. Sorokin, Alexander M. Scherbakov, Mikhail E. Minyaev|2022|CrystEngComm|24|2089|doi:10.1039/D1CE01417J
DOI: 10.5517/ccdc.csd.cc27533n
title: CCDC 2060480: Experimental Crystal Structure Determination

description: Related Article: Svetlana K. Vorontsova, Igor V. Zavarzin, Valerii Z. Shirinian, Eugene I. Bozhenko, Olga E. Andreeva, Danila V. Sorokin, Alexander M. Scherbakov, Mikhail E. Minyaev|2022|CrystEngComm|24|2089|doi:10.1039/D1CE01417J
DOI: 10.5517/ccdc.csd.cc27534p
title: CCDC 2060481: Experimental Crystal Structure Determination

description: Related Article: Svetlana K. Vorontsova, Igor V. Zavarzin, Valerii Z. Shirinian, Eugene I. Bozhenko, Olga E. Andreeva, Danila V. Sorokin, Alexander M. Scherbakov, Mikhail E. Minyaev|2022|CrystEngComm|24|2089|doi:10.1039/D1CE01417J
DOI: 10.5517/ccdc.csd.cc27536r
title: CCDC 2060483: Experimental Crystal Structure Determination

description: Related Article: Svetlana K. Vorontsova, Igor V. Zavarzin, Valerii Z. Shirinian, Eugene I. Bozhenko, Olga E. Andreeva, Danila V. Sorokin, Alexander M. Scherbakov, Mikhail E. Minyaev|2022|CrystEngComm|24|2089|doi:10.1039/D1CE01417J
DOI: 10.5517/ccdc.csd.cc27532m
title: CCDC 2060479: Experimental Crystal Structure Determination

description: Related Article: Svetlana K. Vorontsova, Igor V. Zavarzin, Valerii Z. Shirinian, Eugene I. Bozhenko, Olga E. Andreeva, Danila V. Sorokin, Alexander M. Scherbakov, Mikhail E. Minyaev|2022|CrystEngComm|24|2089|doi:10.1039/D1CE01417J
DOI: 10.5517/ccdc.csd.cc27535q
title: CCDC 2060482: Experimental Crystal Structure Determination

description: Related Article: Svetlana K. Vorontsova, Igor V. Zavarzin, Valerii Z. Shirinian, Eugene I. Bozhenko, Olga E. Andreeva, Danila V. Sorokin, Alexander M. Scherbakov, Mikhail E. Minyaev|2022|CrystEngComm|24|2089|doi:10.1039/D1CE01417J
DOI: 10.5517/ccdc.csd.cc27537s
title: CCDC 2060484: Experimental Crystal Structure Determination

description: Related Article: Svetlana K. Vorontsova, Igor V. Zavarzin, Valerii Z. Shirinian, Eugene I. Bozhenko, Olga E. Andreeva, Danila V. Sorokin, Alexander M. Scherbakov, Mikhail E. Minyaev|2022|CrystEngComm|24|2089|doi:10.1039/D1CE01417J
DOI: 10.5517/ccdc.csd.cc28l1hf
title: CCDC 2102714: Experimental Crystal Structure Determination

description: Related Article: Lee T. Birchall, Giada Truccolo, Lewis Jackson, Helena J. Shepherd|2022|Chemical Science|13|3176|doi:10.1039/D1SC04956A
DOI: 10.5517/ccdc.csd.cc28l1lj
title: CCDC 2102717: Experimental Crystal Structure Determination

description: Related Article: Lee T. Birchall, Giada Truccolo, Lewis Jackson, Helena J. Shepherd|2022|Chemical Science|13|3176|doi:10.1039/D1SC04956A
DOI: 10.5517/ccdc.csd.cc28l1pm
title: CCDC 2102720: Experimental Crystal Structure Determination

description: Related Article: Lee T. Birchall, Giada Truccolo, Lewis Jackson, Helena J. Shepherd|2022|Chemical Science|13|3176|doi:10.1039/D1SC04956A
DOI: 10.5517/ccdc.csd.cc28l1tr
title: CCDC 2102724: Experimental Crystal Structure Determination

description: Related Article: Lee T. Birchall, Giada Truccolo, Lewis Jackson, Helena J. Shepherd|2022|Chemical Science|13|3176|doi:10.1039/D1SC04956A
DOI: 10.5517/ccdc.csd.cc28l1vs
title: CCDC 2102725: Experimental Crystal Structure Determination

description: Related Article: Lee T. Birchall, Giada Truccolo, Lewis Jackson, Helena J. Shepherd|2022|Chemical Science|13|3176|doi:10.1039/D1SC04956A
DOI: 10.5517/ccdc.csd.cc28l1yw
title: CCDC 2102728: Experimental Crystal Structure Determination

description: Related Article: Lee T. Birchall, Giada Truccolo, Lewis Jackson, Helena J. Shepherd|2022|Chemical Science|13|3176|doi:10.1039/D1SC04956A
DOI: 10.5517/ccdc.csd.cc28l210
title: CCDC 2102731: Experimental Crystal Structure Determination

description: Related Article: Lee T. Birchall, Giada Truccolo, Lewis Jackson, Helena J. Shepherd|2022|Chemical Science|13|3176|doi:10.1039/D1SC04956A
DOI: 10.5517/ccdc.csd.cc28l232
title: CCDC 2102733: Experimental Crystal Structure Determination

description: Related Article: Lee T. Birchall, Giada Truccolo, Lewis Jackson, Helena J. Shepherd|2022|Chemical Science|13|3176|doi:10.1039/D1SC04956A
DOI: 10.5517/ccdc.csd.cc28v1t0
title: CCDC 2110412: Experimental Crystal Structure Determination

description: Related Article: Argyro Chatziadi, Eliška Skořepová, Martin Kohout, Luděk Ridvan, Miroslav Šoóš|2022|CrystEngComm|24|2107|doi:10.1039/D1CE01561C
DOI: 10.5517/ccdc.csd.cc29hvsg
title: CCDC 2130406: Experimental Crystal Structure Determination

description: Related Article: Laura Burchill, Luca Zudich, Phillip van der Peet, Jonathan M. White, Spencer J. Williams|2022|J.Org.Chem.|87|4333|doi:10.1021/acs.joc.2c00036
DOI: 10.5517/ccdc.csd.cc29hvth
title: CCDC 2130407: Experimental Crystal Structure Determination

description: Related Article: Laura Burchill, Luca Zudich, Phillip van der Peet, Jonathan M. White, Spencer J. Williams|2022|J.Org.Chem.|87|4333|doi:10.1021/acs.joc.2c00036
DOI: 10.25505/fiz.icsd.cc2b917y
title: CSD 2153639: Experimental Crystal Structure Determination

description: Related Article: Nadia Anwar|2022|ICSD Communication|||
description: Related Article: Nadia Anwar, Naveed Hussain, Shen Ao, Saira Amjad, Javaria Arshad, Tauseef Anwar, Hafiza Syeeda Faiza, Syed Sajjad Hussain, Wangyang Fu, Zhengjun Zhang|2022|Nanoscale Adv.|4|1608|doi:10.1039/D1NA00891A
DOI: 10.25505/fiz.icsd.cc2b918z
title: CSD 2153640: Experimental Crystal Structure Determination

description: Related Article: Nadia Anwar|2022|ICSD Communication|||
description: Related Article: Nadia Anwar, Naveed Hussain, Shen Ao, Saira Amjad, Javaria Arshad, Tauseef Anwar, Hafiza Syeeda Faiza, Syed Sajjad Hussain, Wangyang Fu, Zhengjun Zhang|2022|Nanoscale Adv.|4|1608|doi:10.1039/D1NA00891A
DOI: 10.6084/m9.figshare.19426223.v1
title: Source Data for Supporting Information

description: Immunohistochemistry (IHC) was visualized by using an automatic multispectral imaging system with associated software (Vectra II, PerkinElmer, version 2.0.7.1). The size and zeta potential of HLPC and M@HLPC were measured by using a nanoparticle tracking analysis (NTA, Particle Metrix, Germany, version 8.05.04). The absorbance was measured by automatic microplate reader with associated software (Tecan Infinite M200, version 1.6.19.2). The interaction between each sub-component in HLPC were measured by microscale thermophoresis (MST, NT.115, Nanotemper, Germany). Flow cytometry data was acquired with Backman CytoFLEX LX Flow Cytometer with associated software (version 2.3.1.22). The biodistribution of nanoparticles were observed by using IVIS imaging system (PerkinElmer, USA, version 4.5.5).Power analysis of the animal experiments indicated that the chosen sample sizes per group are sufficient. We also referred to relevant literature to determine sample sizes. For the in vitro and in vivo experiments, we followed standards of good scientific practice. We used at least 3 biological replicates or 3 animals per group, to calculate means and standard deviations and to perform statistical analyses.Statistical analyses were performed using GraphPad Prism 8.0. Data were analyzed by two-tailed unpaired Student’s t-tests (two groups) or One-way ANOVA (multiple-groups). P values less than 0.05 were considered statistically significant.
DOI: 10.34740/kaggle/ds/1955243
title: Credit Card Customers and Fraud Risk
DOI: 10.34740/kaggle/ds/1811216
title: Financial Dataset
DOI: 10.5281/zenodo.6387513
title: Comparison of the Birth Weights of Infants with Esophageal Atresia and Tracheoesophageal Fistula and Infants with Inguinal Hernia: A Retrospective Case–Control Study

description: Esophageal atresia with tracheoesophageal fistula is the most common tracheoesophageal malformation. Amniotic fluid swallowing into the upper blind sack and aspiration were observed during fetal life. Tracheoesophageal fistula serves as a sideway passage of amniotic fluid into the gastrointestinal tract. Compared with inguinal hernia, gestational age adjusted birth weights were lower for infants with esophageal atresia. In esophageal atresia with tracheoesophageal fistula nutrition by aspirated amniotic fluid did not fully compensate the intrauterine growth deficit.
DOI: 10.5281/zenodo.6387512
title: Comparison of the Birth Weights of Infants with Esophageal Atresia and Tracheoesophageal Fistula and Infants with Inguinal Hernia: A Retrospective Case–Control Study

description: Esophageal atresia with tracheoesophageal fistula is the most common tracheoesophageal malformation. Amniotic fluid swallowing into the upper blind sack and aspiration were observed during fetal life. Tracheoesophageal fistula serves as a sideway passage of amniotic fluid into the gastrointestinal tract. Compared with inguinal hernia, gestational age adjusted birth weights were lower for infants with esophageal atresia. In esophageal atresia with tracheoesophageal fistula nutrition by aspirated amniotic fluid did not fully compensate the intrauterine growth deficit.
DOI: 10.34740/kaggle/dsv/3366032
title: Data Science on Reddit
DOI: 10.34740/kaggle/dsv/3366035
title: BBC News
DOI: 10.6084/m9.figshare.19426034
title: Questionnaire Response of University Students Academic Resilience and Character Strengths

description: This file contains data about Academic Resilience of University Students in Bandung, Indonesia<br>
DOI: 10.6084/m9.figshare.19426034.v2
title: Questionnaire Response of University Students Academic Resilience and Character Strengths

description: This file contains data about Academic Resilience of University Students in Bandung, Indonesia<br>
DOI: 10.6084/m9.figshare.19426034.v1
title: Questionnaire Response of University Students Academic Resilience in Bandung, Indonesia

description: This file contains data about Academic Resilience of University Students in Bandung, Indonesia<br>
DOI: 10.6084/m9.figshare.19426244
title: Adult train

description: The train adult dataset
DOI: 10.6084/m9.figshare.19426247.v1
title: Adult test

description: the test adult dataset
DOI: 10.6084/m9.figshare.19426247
title: Adult test

description: the test adult dataset
DOI: 10.5281/zenodo.5809050
title: Electrical conductivity of clinochlore

description: <strong>Electrical conductivity of clinochlore at 1.0-4.0 GPa, 473-1273 K</strong>
DOI: 10.5281/zenodo.5809049
title: Electrical conductivity of clinochlore

description: <strong>Electrical conductivity of clinochlore at 1.0-4.0 GPa, 473-1273 K</strong>
DOI: 10.6084/m9.figshare.19426250
title: Adult full

description: Full adult
DOI: 10.6084/m9.figshare.19426250.v1
title: Adult full

description: Full adult
DOI: 10.3886/e166061
title: University SET data with faculty and course characteristics from a university in Poland

description: This is a unique dataset of all the SET ratings provided by students of one university in Poland at the end of the winter semester of the 2020/2021 academic year. The SET questionnaire used by this university and variables' descriptions are provided in the Data_description word file. The data is aggregated at the teacher/course level with 1,021 data points and 29 variables.<br>The data file is in the Rdata format, use R load() function. The name of the dataframe is "dat" .<br><br><br>
DOI: 10.3886/e166061v1
title: University SET data with faculty and course characteristics from a university in Poland

description: This is a unique dataset of all the SET ratings provided by students of one university in Poland at the end of the winter semester of the 2020/2021 academic year. The SET questionnaire used by this university and variables' descriptions are provided in the Data_description word file. The data is aggregated at the teacher/course level with 1,021 data points and 29 variables.<br>The data file is in the Rdata format, use R load() function. The name of the dataframe is "dat" .<br><br><br>
DOI: 10.6084/m9.figshare.19409903.v1
title: Data repository A Method to Characterize the Renal Scaffold Microarchitecture In Vivo Using Intravital Microscopy

description: This study contains intravital microscopy (IVM) data that characterizes whole organ scaffolds created using decellularization. Decellularization creates cell-free collagen-based matrices from native organs, which can be used as templates for regenerative medicine applications. This data set contains <i>in vivo</i> assays that evaluated the effectiveness of decellularization and structural and functional integrity of the acellular nephron in the post-transplantation environment. Qualitative and quantitative assessments of scaffold DNA concentrations, tissue fluorescence signals, structural and functional integrities of various decellularized nephron segments, and microcirculatory velocity were acquired and compared to the native (non-transplanted) organ. Cohorts of 2-3-month-old male Sprague Dawley rats were used: non-transplanted (n = 4), transplanted day 0 (n = 4), transplanted day 1 (n = 4), transplanted day 2 (n = 4), and transplanted day 7 (n = 4). OIF formatted files illustrate IVM measurement processes and are made publicly available in a data repository. Such data is intended to support scientific reproducibility, complement future renal studies, and extend the use of this powerful imaging application to analyze other organ scaffold systems.
DOI: 10.6084/m9.figshare.19297700
title: OvineSNP50 BeadChip of 75 purebred Charollais sheep in China

description: 75 CHA-C individuals, sampled from the Chaomu Breeding Farm, were genotyped using Illumina OvineSNP50 BeadChip
DOI: 10.34820/fk2/nlshrp
title: Data 1: Visual Text Analysis Table: Visual, Index, Icon and Symbol- BCM 2020

description: A Visual Text Analysis Data from BCM 2020 Proceeding entitled Defamiliarization of Video Clip and Aesthetic Value in ‘Lathi’ Song from Weird Genius
DOI: 10.6084/m9.figshare.14999487.v2
title: Data set repositories

description: There are 12 files in this data repository. The descriptions for each file are as follows:1. tcga_tumor.exp.txtThe processed TCGA-CESC dataset, which was normalized as fragments per kilobase of transcript per million mapped reads (FPKM) and then log2-transformed.2.CGCI.tumor.exp.tsvThe processed CGCI-HTMCP-CC RNA-Seq data, which was normalized as fragments per kilobase of transcript per million mapped reads (FPKM) and then log2-transformed.3. Training_TCGA_203samples.txtThis is the training dataset for developing ccHPS model using 70% of TCGA-CESC cohort samples.4. Test1_TCGA_86samples.txtThis is the first validation dataset of ccHPS model using the rest of 30% of TCGA-CESC cohort samples.<br>5. Test2_CGCI-HTMCP-CC_117samples.txtThis is an indepedent validation dataset using CGCI-HTMCP-CC cohort samples.6. ccHPS_score_GPL10558.tsvccHPS score calculated for each samples in GSE72723 with array platform GPL10558.7. ccHPS_score_GPL6884.tsvccHPS score calculated for each samples in GSE72723 with array platform GPL6884.<br>8.ccHPS_score_TCGA.tsvccHPS score calculated for TCGA samples.9.ccHPS_score_CGCI-HTMCP-CC.txtccHPS score calculated for CGCI-HTMCP-CC samples.10.Differential_gene_analysis_rank_between_high_low_risk.txtThe different gene analysis result using 'limma' package between high-risk and low-risk samples.11.ESTIMATEscore.txtThe ESTIMATE score for each TCGA-CESC samples.12. tcga.drug_sensitivity_predicted_allSolidTumor.txt<br>Drug estimated IC50 of each sample.
DOI: 10.34740/kaggle/dsv/3366415
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.6084/m9.figshare.19426334
title: Data-Leaf trait network.xlsx

description: plant functional trait along a transect<br>
DOI: 10.34740/kaggle/dsv/3366430
title: 2021 World Population (updated daily)
DOI: 10.5281/zenodo.4359074
title: Dataset containing laser speckle-contrast images

description: Dataset contains laser speckle-contrast images of human skin under various physiological tests (controlled respiration test, breath holding test, venous occlusion test).
DOI: 10.5281/zenodo.4359073
title: Dataset containing laser speckle-contrast images

description: Dataset contains laser speckle-contrast images of human skin under various physiological tests (controlled respiration test, breath holding test, venous occlusion test).
DOI: 10.6084/m9.figshare.19426340
title: Survey dataset on Interpreters' Perceptions about Remote Simultaneous Interpreting (in Spanish)

description: Survey dataset on Interpreters' Perceptions about Remote Simultaneous Interpreting (in Spanish)
DOI: 10.34740/kaggle/dsv/3366613
title: COVID Vaccination in World (updated daily)
DOI: 10.3886/e116365v1-113420
title: Replication data for: Trade and Income—Exploiting Time Series in Geography

description: Establishing a robust causal relationship between trade and income has been difficult. Frankel and Romer (1999) uses a geographic instrument to identify a positive effect of trade on income. Rodriguez and Rodrik (2001) shows that these results are not robust to controlling for omitted variables such as distance to the equator or institutions. This paper solves the omitted variable problem by generating a time-varying geographic instrument. Improvements in aircraft technology have caused the quantity of world trade carried by air to increase over time. Country pairs with relatively short air routes compared to sea routes benefit more from this change in technology. This heterogeneity can be used to generate a geography-based instrument for trade that varies over time. The time-series variation allows for controls for country fixed effects, eliminating the bias from time-invariant variables such as distance from the equator or historically determined institutions. Trade has a significant effect on income with an elasticity of roughly one-half. Differences in predicted trade growth can explain roughly 17 percent of the variation in cross-country income growth between 1960 and 1995.
DOI: 10.5281/zenodo.5808357
title: CTX DTM and ORI Mosaics over Sakarya Vallis, Gale Crater, Mars

description: Local digital terrain model (DTM) and orthorectified image (ORI) mosaics over Sakarya Vallis, west of Aeolis Mons in Gale crater, Mars. The two constituent DTMs were processed using the CASP-GO suite described in Tao et al. (2018); the ORIs were processed using Ames Stereo Pipeline. The DTMs were then co-registered to an HRSC DTM mosaic (Persaud et al. 2021, https://doi.org/10.5281/zenodo.5808354) and each other using Ames Stereo Pipeline, and then cropped and mosaicked. Format: GeoTiff<br> Projection: Equidistant cylindrical<br> Datum: Spheroid (r = 3396.190 km)<br> Bit depth: Float32<br> DTM grid-spacing: 18 m/pixel<br> ORI resolution: 6 m/pixel Stereo pairs (from Grindrod and Davis, 2018): P04_002675_1746_XI_05S222W, B21_017786_1746_XN_05S222W D02_027834_1748_XN_05S222W, G04_019698_1747_XI_05S222W Image IDs of the ORIs: P04_002675_1746_XI_05S222W, D02_027834_1748_XN_05S222W
description: The first author is now at Jet Propulsion Laboratory, California Institute of Technology, Pasadena, California. Contact: divya.m.persaud@jpl.nasa.gov
description: {"references": ["Beyer, R. A., O. Alexandrov, and S. McMichael. 2018a. \"NeoGeographyToolkit/StereoPipeline: Ames Stereo Pipeline 2.6.1.\" Zenodo.", "Grindrod, P. M., and J. Davis. 2018. \"Gale Crater Stereo CTX DTMs + Orthoimages.\" figshare. https://figshare.com/articles/Gale_Crater_Stereo_CTX_DTMs_Orthoimages/6584984.", "Persaud, D. M., Putri, A. D. R., Muller, J.-P. (2021). 30-m HRSC DTM Mosaic of Gale Crater, Mars [Data set]. Zenodo. https://doi.org/10.5281/zenodo.5808354", "Tao, Y., J.-P. Muller, P. Sidiropoulos, S. Xiong, A. R. D. Putri, S. H. G. Walter, J. Veitch-Michaelis, and V. Yershov. 2018. \"Massive Stereo-Based DTM Production for Mars on Cloud Computers.\" Planetary and Space Science 154 (September 2017): 30\u201358. https://doi.org/10.1016/j.pss.2018.02.012."]}
DOI: 10.5281/zenodo.5808356
title: CTX DTM and ORI Mosaics over Sakarya Vallis, Gale Crater, Mars

description: Local digital terrain model (DTM) and orthorectified image (ORI) mosaics over Sakarya Vallis, west of Aeolis Mons in Gale crater, Mars. The two constituent DTMs were processed using the CASP-GO suite described in Tao et al. (2018); the ORIs were processed using Ames Stereo Pipeline. The DTMs were then co-registered to an HRSC DTM mosaic (Persaud et al. 2021, https://doi.org/10.5281/zenodo.5808354) and each other using Ames Stereo Pipeline, and then cropped and mosaicked. Format: GeoTiff<br> Projection: Equidistant cylindrical<br> Datum: Spheroid (r = 3396.190 km)<br> Bit depth: Float32<br> DTM grid-spacing: 18 m/pixel<br> ORI resolution: 6 m/pixel Stereo pairs (from Grindrod and Davis, 2018): P04_002675_1746_XI_05S222W, B21_017786_1746_XN_05S222W D02_027834_1748_XN_05S222W, G04_019698_1747_XI_05S222W Image IDs of the ORIs: P04_002675_1746_XI_05S222W, D02_027834_1748_XN_05S222W
description: The first author is now at Jet Propulsion Laboratory, California Institute of Technology, Pasadena, California. Contact: divya.m.persaud@jpl.nasa.gov
description: {"references": ["Beyer, R. A., O. Alexandrov, and S. McMichael. 2018a. \"NeoGeographyToolkit/StereoPipeline: Ames Stereo Pipeline 2.6.1.\" Zenodo.", "Grindrod, P. M., and J. Davis. 2018. \"Gale Crater Stereo CTX DTMs + Orthoimages.\" figshare. https://figshare.com/articles/Gale_Crater_Stereo_CTX_DTMs_Orthoimages/6584984.", "Persaud, D. M., Putri, A. D. R., Muller, J.-P. (2021). 30-m HRSC DTM Mosaic of Gale Crater, Mars [Data set]. Zenodo. https://doi.org/10.5281/zenodo.5808354", "Tao, Y., J.-P. Muller, P. Sidiropoulos, S. Xiong, A. R. D. Putri, S. H. G. Walter, J. Veitch-Michaelis, and V. Yershov. 2018. \"Massive Stereo-Based DTM Production for Mars on Cloud Computers.\" Planetary and Space Science 154 (September 2017): 30\u201358. https://doi.org/10.1016/j.pss.2018.02.012."]}
DOI: 10.5281/zenodo.5808371
title: Co-registered U. Arizona HiRISE DTM and ORI over Sakarya Vallis, Gale Crater, Mars

description: Local digital terrain model (DTM) and orthorectified image (ORI) of Sakarya Vallis, west of Aeolis Mons in Gale crater, Mars. The DTM was originally processed by the University of Arizona (DTEEC_006855_1750_007501_1750_A01, https://www.uahirise.org/dtm/dtm.php?ID=PSP_006855_1750); this product is co-registered to CTX DTMs which were themselves co-registered to HRSC DTMs (Persaud et al. 2021, https://doi.org/10.5281/zenodo.5808357) using Ames Stereo Pipeline. The ORI was processed using Ames Stereo Pipeline and adjusted with GDAL. Format: GeoTiff<br> Projection: Equidistant cylindrical<br> Datum: Spheroid (r = 3396.190 km)<br> Bit depth: Float32<br> DTM grid-spacing: 1 m/pixel<br> ORI resolution: 0.25 m/pixel Stereo pairs (from University of Arizona): PSP_006855_1750_RED, PSP_007501_1750_RED Image ID of the ORI: PSP_007501_1750_RED
description: The first author is now at Jet Propulsion Laboratory, California Institute of Technology, Pasadena, California. Contact: divya.m.persaud@jpl.nasa.gov
description: {"references": ["Beyer, R. A., O. Alexandrov, and S. McMichael. 2018. \"NeoGeographyToolkit/StereoPipeline: Ames Stereo Pipeline 2.6.1.\" Zenodo.", "NASA/JPL/University of Arizona", "Persaud, D. M., Putri, A. D. R., Muller, J.-P. (2021). 30-m HRSC DTM Mosaic of Gale Crater, Mars [Data set]. Zenodo. https://doi.org/10.5281/zenodo.5808354", "Persaud, D. M., Tao, Y., Muller, J.-P. (2021). CTX DTM and ORI Mosaics over Sakarya Vallis, Gale Crater, Mars [Data set]. Zenodo. https://doi.org/10.5281/zenodo.5808357"]}