cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5066/p9q3jhek
title: Oil and Gas Wells in Southern Louisiana that Penetrated the Lower Miocene 1 Sequence

description: The drilling history documents oil and gas wells in the Lower Miocene 1 sequence as a whole and in 10-year intervals. The wells included in this interval are determined by completion date and by comparing the depth of the wells to structure contours of the Lower Miocene 1 sequence. The data are provided in a single file (lm1_prod.shp) as well as eight 10-year interval files covering 1920 through 1999. These datasets contain basic data and interpretations developed and compiled by the U.S. Geological Survey's Framework Studies and Assessment of the Gulf Coast Project. Other major sources of data include publicly available information from state agencies as well as publications of the U.S. Geological Survey and other scientific organizations. In cases where company proprietary data were used to produce various derivatives such as contour surfaces, the source is cited but the data are not displayed.
DOI: 10.6084/m9.figshare.14192669
title: Data from "Experimental evidence of velocity-weakening friction during ice slip over frozen till: implications for basal seismicity in fast moving, soft-bed glaciers and ice streams"

description: Temperature vs time (in RTD files) and displacement, friction, and velocity vs time (sample number files). Experiments of double direct shear ice on till experiments published in SRL article.
DOI: 10.5066/p9mrzpco
title: Oil and Gas Wells in Southern Louisiana that Penetrated the Lower Miocene 2 Sequence

description: The drilling history documents oil and gas wells in the Lower Miocene 2 sequence as a whole and in 10-year intervals. The wells included in this interval are determined by completion date and by comparing the depth of the wells to structure contours of the Lower Miocene 2 sequence. The data are provided in a single file (lm2_prod.shp) as well as nine 10-year interval files covering 1910 through 1999. These datasets contain basic data and interpretations developed and compiled by the U.S. Geological Survey's Framework Studies and Assessment of the Gulf Coast Project. Other major sources of data include publicly available information from state agencies as well as publications of the U.S. Geological Survey and other scientific organizations. In cases where company proprietary data were used to produce various derivatives such as contour surfaces, the source is cited but the data are not displayed.
DOI: 10.5066/p9sfn8f5
title: Oil and Gas Wells in Southern Louisiana that Penetrated the Middle Miocene Sequence

description: The drilling history documents oil and gas wells in the Middle Miocene sequence as a whole and in 10-year intervals. The wells included in this interval are determined by completion date and by comparing the depth of the wells to structure contours of the Middle Miocene sequence. The data are provided in a single file (mm_prod.shp) as well as eight 10-year interval files covering 1920 through 1999. These datasets contain basic data and interpretations developed and compiled by the U.S. Geological Survey's Framework Studies and Assessment of the Gulf Coast Project. Other major sources of data include publicly available information from state agencies as well as publications of the U.S. Geological Survey and other scientific organizations. In cases where company proprietary data were used to produce various derivatives such as contour surfaces, the source is cited but the data are not displayed.
DOI: 10.5066/p9ccl0b2
title: Gulf Coast Estimated Thickness of the Middle Miocene Sequence

description: The thickness contours were created using biostratigraphic data in the Paleo-Data, Inc., Tenroc Regional Geologic Database. The depths of the microfossil locations were associated with the wells data provided by the Louisiana Department of Natural Resources. Because of the proprietary nature of the Tenroc database, no actual data can be shown and only those data points contained in the Louisiana State wells database are included in the control points layer. Contouring was accomplished in Dynamic Graphics, Inc., EarthVision modeling software (v.5) using minimum tension gridding. Three custom programs were used to convert contour lines generated from grids in EarthVision to Arc/Info coverages and then to shapefiles. The data are provided as both lines and polygons (mmthicklg.shp and mmthickpg.shp), and the public wells that penetrate the entire thickness of the Middle Miocene sequence are provided in a point shapefile (mmthickptg.shp). These datasets contain basic data and interpretations developed and compiled by the U.S. Geological Survey's Framework Studies and Assessment of the Gulf Coast Project. Other major sources of data include publicly available information from state agencies as well as publications of the U.S. Geological Survey and other scientific organizations. In cases where company proprietary data were used to produce various derivatives such as contour surfaces, the source is cited but the data are not displayed.
DOI: 10.5066/p9grkpqk
title: Structure Contour of the Top of the Middle Miocene Sequence, Gulf Coast

description: The structure contours were created using biostratigraphic data in the Paleo-Data, Inc., Tenroc Regional Geologic Database. The depths of the microfossil locations were associated with the wells data provided by the Louisiana Department of Natural Resources. Because of the proprietary nature of the Tenroc database, no actual data can be shown and only those data points contained in the Louisiana State wells database are included in the control points layer. Contouring was accomplished in Dynamic Graphics, Inc., EarthVision modeling software (v.5) using minimum tension gridding. Three custom programs were used to convert contour lines generated from grids in EarthVision to Arc/Info coverages and then to shapefiles. The data are provided as both lines and polygons (mmtoplg.shp and mmtoppg.shp), and the public wells that penetrate the top of the Middle Miocene (MM) sequence are provided in a point shapefile (mmtopptg.shp). These datasets contain basic data and interpretations developed and compiled by the U.S. Geological Survey's Framework Studies and Assessment of the Gulf Coast Project. Other major sources of data include publicly available information from state agencies as well as publications of the U.S. Geological Survey and other scientific organizations. In cases where company proprietary data were used to produce various derivatives such as contour surfaces, the source is cited but the data are not displayed.
DOI: 10.5281/zenodo.4960813
title: Data associated with the publication "Study of inorganic phosphate compartmentation in Gephyrocapsa (Emiliania) huxleyi reveals differences in polyphosphate/phosphate content during naked to calcified cells transition"

description: Raw and processed data of G. huxleyi cultures and phosphorus assays necessary to repeat analysis in : Study of inorganic phosphate compartmentation in <em>Gephyrocapsa (</em><em>Emiliania) huxleyi</em> reveals differences in polyphosphate/phosphate content during naked to calcified cells transition.
DOI: 10.5281/zenodo.4960812
title: Data associated with the publication "Study of inorganic phosphate compartmentation in Gephyrocapsa (Emiliania) huxleyi reveals differences in polyphosphate/phosphate content during naked to calcified cells transition"

description: Raw and processed data of G. huxleyi cultures and phosphorus assays necessary to repeat analysis in : Study of inorganic phosphate compartmentation in <em>Gephyrocapsa (</em><em>Emiliania) huxleyi</em> reveals differences in polyphosphate/phosphate content during naked to calcified cells transition.
DOI: 10.24431/rw1k590
title: Photos taken of the bottom trawl catches during the 2019 Arctic IERP cruise in the Chukchi and Beaufort seas, Arctic Integrated Ecosystem Research Program, August and September 2019.

description: These data are part of the IArctic IES component of the Arctic Integrated Ecosystem Research Program (IERP), sponsored by the North Pacific Research Board (NPRB), Collaborative Alaskan Arctic Studies Program (formerly the North Slope Borough/Shell Baseline Studies Program), Bureau of Ocean Energy Management (BOEM), and the Office of Naval Research Marine Mammals and Biology Program. These files are images of the bottom trawl catches taken before or shortly after beginning of sorting the catch. The files are .jpg images. Each image is named for the Beam Trawl haul number: BT_haul_64 = Beam trawl haul number 64. Beam trawl haul numbers can be associated with CLAMS event numbers and station numbers using the file "BeamTrawlDeploymentData" located in the bottom trawl folder on axiom.
DOI: 10.6084/m9.figshare.9161894
title: Randomized manipulation of early cognitive experience impacts adult brain structure: Volume, cortical thickness and surface area data

description: This accompanies the article "Randomized manipulation of early cognitive experience impacts adult brain structure" by Martha J. Farah, Saul Sternberg, Thomas A. Nichols, Jeffrey T. Duda, Terry Lorenz, Yi Luo, Libbie Sonnier, Sharon L. Ramey, Read Montague, and Craig T. Ramey.<br>Tables represent volume, cortical thickness and surface area of discrete regions in the brain. Non-identifiable demographic information presented in each table.
DOI: 10.6084/m9.figshare.9161894.v4
title: Randomized manipulation of early cognitive experience impacts adult brain structure: Volume, cortical thickness and surface area data

description: This accompanies the article "Randomized manipulation of early cognitive experience impacts adult brain structure" by Martha J. Farah, Saul Sternberg, Thomas A. Nichols, Jeffrey T. Duda, Terry Lorenz, Yi Luo, Libbie Sonnier, Sharon L. Ramey, Read Montague, and Craig T. Ramey.<br>Tables represent volume, cortical thickness and surface area of discrete regions in the brain. Non-identifiable demographic information presented in each table.
DOI: 10.6084/m9.figshare.9161894.v3
title: Randomized manipulation of early cognitive experience impacts adult brain structure: Volume, cortical thickness and surface area data

description: This accompanies the article "Randomized manipulation of early cognitive experience impacts adult brain structure" by Martha J. Farah, Saul Sternberg, Thomas A. Nichols, Jeffrey T. Duda, Terry Lorenz, Yi Luo, Sharon L. Ramey, Read Montague, and Craig T. Ramey.<br>Tables represent volume, cortical thickness and surface area of discrete regions in the brain. Non-identifiable demographic information presented in each table.
DOI: 10.6084/m9.figshare.14721282.v16
title: THINGS-EEG

description: EEG data for 1854 object concepts presented in RSVP streams. Data from 50 participants.<br>Compressed using 7zip (www.7-zip.org/)<br>Contents:data_general.7z - main BIDS folder (including participants.tsv)results_general.7z - grand mean RDMssub-**.7z - single-subject raw data, preprocessed data, and RDMs
DOI: 10.5517/ccdc.csd.cc25ys1z
title: CCDC 2024611: Experimental Crystal Structure Determination

description: Related Article: Meng-Meng Xu, Lu-Yao Kou, Xiao-Guang Bao, Xiao-Ping Xu, Shun-Jun Ji|2021|Chin.Chem.Lett.|32|1915|doi:10.1016/j.cclet.2021.02.001
DOI: 10.5517/ccdc.csd.cc25ys20
title: CCDC 2024612: Experimental Crystal Structure Determination

description: Related Article: Meng-Meng Xu, Lu-Yao Kou, Xiao-Guang Bao, Xiao-Ping Xu, Shun-Jun Ji|2021|Chin.Chem.Lett.|32|1915|doi:10.1016/j.cclet.2021.02.001
DOI: 10.5517/ccdc.csd.cc281dd4
title: CCDC 2086715: Experimental Crystal Structure Determination

description: Related Article: W. Clegg, M.R.J. Elsegood|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc281qmp
title: CCDC 2087032: Experimental Crystal Structure Determination

description: Related Article: W. Clegg, S.L. Heath|2021|CSD Communication|||
DOI: 10.6084/m9.figshare.14787819
title: Encuesta Nacional sobre creencias y prácticas religiosas en México, RIFREM 2016

description: Database of the National Survey on Religious Beliefs and Practices in Mexico, RIFREM 2016, based on a random sample of 3000 that allows national representativeness and comparative analysis between regions of the country, rural and urban populations and between the four main religious ascriptions in Mexico according to census information (Catholics, Protestants and Evangelicals) without religion, and members of the group Jehovah's Witnesses, Church of Jesus Christ of Latter-day Saints and Adventists. <br><br>
DOI: 10.24431/rw1k592
title: Photos taken of the bottom trawl catches during the 2017 Arctic IERP cruise in the Chukchi and Beaufort seas during August and September 2017.

description: These data are part of the Arctic IES component of the Arctic Integrated Ecosystem Research Program (IERP), sponsored by the North Pacific Research Board (NPRB), Collaborative Alaskan Arctic Studies Program (formerly the North Slope Borough/Shell Baseline Studies Program), Bureau of Ocean Energy Management (BOEM), and the Office of Naval Research Marine Mammals and Biology Program. These files are images of the bottom trawl catches taken before or shortly after beginning of sorting the catch. The files are .jpg images. Each image is named for the Beam Trawl haul number: BT_haul_64 = Beam trawl haul number 64. Beam trawl haul numbers can be associated with CLAMS event numbers and station numbers using the file "BeamTrawlDeploymentData" located in the bottom trawl folder on axiom.
DOI: 10.5281/zenodo.3570002
title: Datasets used in "Verifying Operational Forecasts of Land-Sea Breeze and Boundary Layer Mixing Processes"

description: Zip file containing datasets used in "Verifying Operational Forecasts of Land-Sea Breeze and Boundary Layer Mixing Processes". In particular, wind magnitude and direction data from automatic weather stations, the Australian Burea of Meteorology's official edited forecast, and unedited ACCESS and ECMWF model data. Data in NETCDF format.
DOI: 10.5281/zenodo.3570001
title: Datasets used in "Verifying Operational Forecasts of Land-Sea Breeze and Boundary Layer Mixing Processes"

description: Zip file containing datasets used in "Verifying Operational Forecasts of Land-Sea Breeze and Boundary Layer Mixing Processes". In particular, wind magnitude and direction data from automatic weather stations, the Australian Burea of Meteorology's official edited forecast, and unedited ACCESS and ECMWF model data. Data in NETCDF format.
DOI: 10.5281/zenodo.3246031
title: MOM6 output from a zonally reentrant Southern Ocean-like channel

description: This dataset contains output from MOM6 output from a zonally reentrant Southern Ocean-like channel used for investigating the relative role of the baroclinic and barotropic dynamics in establishing eddy-saturated states.
description: {"references": ["Constantinou, N. C. and Hogg, A. McC. (2019), Geophys. Res. Let., 46, doi:10.1029/2019GL084117"]}
DOI: 10.5281/zenodo.3246030
title: MOM6 output from a zonally reentrant Southern Ocean-like channel

description: This dataset contains output from MOM6 output from a zonally reentrant Southern Ocean-like channel used for investigating the relative role of the baroclinic and barotropic dynamics in establishing eddy-saturated states.
description: {"references": ["Constantinou, N. C. and Hogg, A. McC. (2019), Geophys. Res. Let., 46, doi:10.1029/2019GL084117"]}
DOI: 10.17632/5wwds3mt5h.1
title: Data for: Lesions to the intraparietal cortex disrupt visual realignment after prism adaptation: Evidence from open-loop pointing and manual straight ahead

description: Data for linear mixed models analysis. Column 1 = participant. Controls (C1-C6) and patients with left or right hemisphere intraparietal cortex lesions (L1, L2, R1-R4) Column 2 = group. Control or patient Column 3 = session. Before prism adaptation (B_Pre) or post prism adaptation (A_Post) Column 4 = pointing type. Manual Straight Ahead (A_MSA) or Open Loop Pointing (B_OLP) Column 5 = prism direction. Contralesionally- or ipsillesionally-shifting. For the patients, the direction of prismatic shift was coded relative to the lesioned hemisphere (ipsilesionally-shifting or contralesionally-shifting). For each control participant, the direction of prismatic shift was similarly coded relative to the lesioned hemisphere of the patient to whom they were matched. Column 6 = pointing error in degrees of visual angle. Negative numbers indicating an error in the opposite direction of the expected after-effect (i.e., the direction of the prismatic shift)
DOI: 10.5281/zenodo.4924969
title: Processed output for paper "Intrinsic oceanic decadal variability of upper-ocean heat content" by Constantinou and Hogg published at J. Climate, 2021

description: This dataset contains processed raw output from various configurations of the ACCESS-OM2 global ocean-sea ice model and also processed gridded output from satellite altimetry (CMEMS product). The processed output was used for analyses for the paper Constantinou, N. C. and Hogg, A. McC. Intrinsic oceanic decadal variability of upper-ocean heat content. <em>J. Climate</em>. (in press; doi:10.1175/JCLI-D-20-0962.1) Github repository github.com/navidcy/IntrinsicOceanicLFVariabilityUOHC contains Jupyter notebooks and instructions for how to produce these files from raw model output or from the CMEMS gridded satellite altimetry.
DOI: 10.5281/zenodo.4924968
title: Processed output for paper "Intrinsic oceanic decadal variability of upper-ocean heat content" by Constantinou and Hogg published at J. Climate, 2021

description: This dataset contains processed raw output from various configurations of the ACCESS-OM2 global ocean-sea ice model and also processed gridded output from satellite altimetry (CMEMS product). The processed output was used for analyses for the paper Constantinou, N. C. and Hogg, A. McC. Intrinsic oceanic decadal variability of upper-ocean heat content. <em>J. Climate</em>. (in press; doi:10.1175/JCLI-D-20-0962.1) Github repository github.com/navidcy/IntrinsicOceanicLFVariabilityUOHC contains Jupyter notebooks and instructions for how to produce these files from raw model output or from the CMEMS gridded satellite altimetry.
DOI: 10.5281/zenodo.4961242
title: CoVaxxy Tweet IDs data set

description: A collection of Tweet IDs related to Covid-19 Vaccines, gathered from Twitter since Jan 4, 2021. Please see https://arxiv.org/abs/2101.07694 for more information.
DOI: 10.6084/m9.figshare.14787966
title: gene_annotations.tsv

description: files for tutorials on Happy Belly Bioinformatics: https://astrobiomike.github.io
DOI: 10.6084/m9.figshare.14787966.v1
title: gene_annotations.tsv

description: files for tutorials on Happy Belly Bioinformatics: https://astrobiomike.github.io
DOI: 10.6084/m9.figshare.14787972
title: genes.faa

description: files for tutorials on Happy Belly Bioinformatics: https://astrobiomike.github.io
DOI: 10.6084/m9.figshare.14787972.v1
title: genes.faa

description: files for tutorials on Happy Belly Bioinformatics: https://astrobiomike.github.io
DOI: 10.34740/kaggle/dsv/2337549
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.5517/ccdc.csd.cc281qnq
title: CCDC 2087033: Experimental Crystal Structure Determination

description: Related Article: W. Clegg, M.R.J. Elsegood|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc281qpr
title: CCDC 2087034: Experimental Crystal Structure Determination

description: Related Article: W. Clegg|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc281qrt
title: CCDC 2087036: Experimental Crystal Structure Determination

description: Related Article: Michael Bolte|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc2821zd
title: CCDC 2087353: Experimental Crystal Structure Determination

description: Related Article: A.A. Ordinartsev, A.A. Petrov, K.A. Lyssenko, A.V. Petrov, E.A. Goodilin, A.B. Tarasov|2021|Acta Crystallogr.,Sect.E:Cryst.Commun.|77|692|doi:10.1107/S2056989021005673
DOI: 10.5517/ccdc.csd.cc2823q6
title: CCDC 2087407: Experimental Crystal Structure Determination

description: Related Article: S. Khelfa, M. Touil, Z. Setifi, F. Setifi, M.H. Al-Douh, C. Glidewell|2021|IUCrData|6|x210568|doi:10.1107/S241431462100568X
DOI: 10.5517/ccdc.csd.cc27802m
title: CCDC 2063269: Experimental Crystal Structure Determination

description: Related Article: A. Ndiolene, T. Diop, M.S. Boye, A. Diasse-Sarr, U. Englert|2021|Acta Crystallogr.,Sect.E:Cryst.Commun.|77|696|doi:10.1107/S205698902100579X
DOI: 10.6084/m9.figshare.14785233
title: Genetic variants for 181 cultivars in Huang-Huai-Hai in China

description: Genetic variants for 181 cultivars in Huang-Huai-Hai in China<br>
DOI: 10.6084/m9.figshare.14785233.v2
title: Genetic variants for 181 cultivars in Huang-Huai-Hai in China

description: Genetic variants for 181 cultivars in Huang-Huai-Hai in China<br>
DOI: 10.6084/m9.figshare.14785233.v1
title: Genetic variants for 181 cultivars in Huang-Huai-Hai in Chian

description: Genetic variants for 181 cultivars in Huang-Huai-Hai in Chian<br>
DOI: 10.6084/m9.figshare.14785845
title: Whole genome sequencing and identification of mutations in E. coli cultures after repeated disinfection with monochloramine

description: Determination of genome mutations in E. coli cultures evolved under repeated monochloramine, ferrate, or water treatment. Cultures were cultivated and regrown for 48h intervals up to 32 times with 60 min disinfection epiosdes in between each growth interval. The accompanying VCF file details the gene sequence variations in the ancestral and evolved culture genomes.<br>1- Ancestral cultures (round 1) are denoted as A0, B0, C0, D0, E0.<br>2- Replicate cultures evolved under monochloramine stress after 32 disinfection rounds are denoted as AH-C32, BH-C32. CH-C32, DH-C32, EH-C32.<br>3- Replicate cultures evolved under water treatment (controls) after 32 treatment rounds are denoted as AC-C32, BC-C32, CC-C32, DC-C32, EC-C32.<br>4- Replicate cultures evolved under ferrate stress after 12 treatment rounds are denoted as AF-C12, BF-C12, XF-C12 and after 32 treatment rounds AF-C32, BF-C32, XF-C32.<br>5- CP023383.fa: Escherichia coli strain 1223 chromosome (complete genome) used as a reference genome for mapping (FASTA file)
DOI: 10.5281/zenodo.4956285
title: Wikidata Dump Wikidata CC

description: RDF dump of wikidata produced with wdumps. chemical compound list<br> View on wdumper <b>entity count</b>: 0, <b>statement count</b>: 0, <b>triple count</b>: 0
DOI: 10.5281/zenodo.4956284
title: Wikidata Dump Wikidata CC

description: RDF dump of wikidata produced with wdumps. chemical compound list<br> View on wdumper <b>entity count</b>: 0, <b>statement count</b>: 0, <b>triple count</b>: 0
DOI: 10.5281/zenodo.4961918
title: Supplemental tables for Journal of Cell Biology paper "LRR1-mediated replisome disassembly promotes DNA replication by recycling replisome components" (10.1083/jcb.202009147)

description: Supplemental tables for Journal of Cell Biology paper (10.1083/jcb.202009147): Fan, Y., Köberlin, M.S., Ratnayeke, N., Liu, C., Deshpande, M., Gerhardt, J., and Meyer, T. (2021). LRR1-mediated replisome disassembly promotes DNA replication by recycling replisome components. <em>Journal of Cell Biology</em>, 220, 8.
DOI: 10.5281/zenodo.4961917
title: Supplemental tables for Journal of Cell Biology paper "LRR1-mediated replisome disassembly promotes DNA replication by recycling replisome components" (10.1083/jcb.202009147)

description: Supplemental tables for Journal of Cell Biology paper (10.1083/jcb.202009147): Fan, Y., Köberlin, M.S., Ratnayeke, N., Liu, C., Deshpande, M., Gerhardt, J., and Meyer, T. (2021). LRR1-mediated replisome disassembly promotes DNA replication by recycling replisome components. <em>Journal of Cell Biology</em>, 220, 8.
DOI: 10.25345/c59z5v
title: MassIVE MSV000087635 - Quantitative proteomic analysis of CKD urine samples
title: Urinary proteomics studies have primarily focused on identifying markers of chronic kidney disease (CKD) progression. Here, we aimed to specify CKD-related injury markers through proteomics analysis in urine of patients with CKD. Label-free quantitative proteomics analysis based on liquid chromatography-tandem mass spectrometry was performed on urine samples obtained from 6, 9, 11, and 10 patients in health control, CKD stage 1, 3 and 5, respectively.