cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.8282102
title: Carbonate rocks of offshore northern Zealandia

description: Thirty-eight non-tropical carbonate rock samples with subtropical affinities, from northern Zealandia, were obtained from oceanographic dredging expeditions in the Reinga-Aotea Basin (2013), and the Norfolk, Loyalty, and Three Kings ridges (2015). Samples range in age from Pleistocene to Paleocene and were petrographically classified into five depositional and one authigenic petrofacies: (1) coarse, bioclastic grainstone to packstone, (2) coarse, bioclastic packstone, (3) coated grains, (4) fine, bioclastic packstone, (5) wackestone, and, and (6) dolomite. The coarse grainstone, packstone and coated-grains petrofacies are dominated by &gt;mm-scale bioclastic components indicating deposition in high energy continental shelf environments. These petrofacies show similarities to non-tropical carbonates such as the onshore New Zealand Oligocene Te Kuiti Group limestones. Fine bioclastic packstone and wackestone petrofacies, consistent with bathyal deposition, comprise primarily foraminfera and micrite, similar to Eocene fine-grained carbonates outcropping in New Zealand. The dolomite petrofacies comprises diagenetic dolomite similar to Paleocene and Eocene rocks of the Mead Hill and Amuri Limestone formations. Other post-depositional features are also directly comparable to onshore New Zealand limestones. Despite no clear relationship between age, lithology, or geographic location, this study shows that non-tropical shelf carbonates with subtropical affinities extend north beyond New Zealand (southern Zealandia) to at least 23.7°S latitude.
DOI: 10.6084/m9.figshare.8282114
title: HS3_3_1.fq.gz

description: A part of transcriptome sequencing raw data of safflower flowers which were cultivated under different light intensities.
DOI: 10.6084/m9.figshare.8282117.v1
title: HS3_3_2.fq.gz

description: A part of transcriptome sequencing raw data of safflower flowers which were cultivated under different light intensities.
DOI: 10.6084/m9.figshare.8282114.v1
title: HS3_3_1.fq.gz

description: A part of transcriptome sequencing raw data of safflower flowers which were cultivated under different light intensities.
DOI: 10.6084/m9.figshare.8282102.v2
title: Carbonate rocks of offshore northern Zealandia

description: Thirty-eight non-tropical carbonate rock samples with subtropical affinities, from northern Zealandia, were obtained from oceanographic dredging expeditions in the Reinga-Aotea Basin (2013), and the Norfolk, Loyalty, and Three Kings ridges (2015). Samples range in age from Pleistocene to Paleocene and were petrographically classified into five depositional and one authigenic petrofacies: (1) coarse, bioclastic grainstone to packstone, (2) coarse, bioclastic packstone, (3) coated grains, (4) fine, bioclastic packstone, (5) wackestone, and, and (6) dolomite. The coarse grainstone, packstone and coated-grains petrofacies are dominated by &gt;mm-scale bioclastic components indicating deposition in high energy continental shelf environments. These petrofacies show similarities to non-tropical carbonates such as the onshore New Zealand Oligocene Te Kuiti Group limestones. Fine bioclastic packstone and wackestone petrofacies, consistent with bathyal deposition, comprise primarily foraminfera and micrite, similar to Eocene fine-grained carbonates outcropping in New Zealand. The dolomite petrofacies comprises diagenetic dolomite similar to Paleocene and Eocene rocks of the Mead Hill and Amuri Limestone formations. Other post-depositional features are also directly comparable to onshore New Zealand limestones. Despite no clear relationship between age, lithology, or geographic location, this study shows that non-tropical shelf carbonates with subtropical affinities extend north beyond New Zealand (southern Zealandia) to at least 23.7°S latitude.
DOI: 10.6084/m9.figshare.8282102.v1
title: Carbonate rocks of offshore northern Zealandia

description: Thirty-eight non-tropical carbonate rock samples with subtropical affinities, from northern Zealandia, were obtained from oceanographic dredging expeditions in the Reinga-Aotea Basin (2013), and the Norfolk, Loyalty, and Three Kings ridges (2015). Samples range in age from Pleistocene to Paleocene and were petrographically classified into five depositional and one authigenic petrofacies: (1) coarse, bioclastic grainstone to packstone, (2) coarse, bioclastic packstone, (3) coated grains, (4) fine, bioclastic packstone, (5) wackestone, and, and (6) dolomite. The coarse grainstone, packstone and coated-grains petrofacies are dominated by &gt;mm-scale bioclastic components indicating deposition in high energy continental shelf environments. These petrofacies show similarities to non-tropical carbonates such as the onshore New Zealand Oligocene Te Kuiti Group limestones. Fine bioclastic packstone and wackestone petrofacies, consistent with bathyal deposition, comprise primarily foraminfera and micrite, similar to Eocene fine-grained carbonates outcropping in New Zealand. The dolomite petrofacies comprises diagenetic dolomite similar to Paleocene and Eocene rocks of the Mead Hill and Amuri Limestone formations. Other post-depositional features are also directly comparable to onshore New Zealand limestones. Despite no clear relationship between age, lithology, or geographic location, this study shows that non-tropical shelf carbonates with subtropical affinities extend north beyond New Zealand (southern Zealandia) to at least 23.7°S latitude.
DOI: 10.6084/m9.figshare.8281976
title: datatotal2.xlsx

description: The data contains 23 attributes that categorized by numeric values. Sample size is 90. First sheet contains the raw data and the second sheet contains data dictionary.
DOI: 10.6084/m9.figshare.8281976.v1
title: datatotal2.xlsx

description: The data contains 23 attributes that categorized by numeric values. Sample size is 90. First sheet contains the raw data and the second sheet contains data dictionary.
DOI: 10.6084/m9.figshare.8281847
title: Supplementary File 2

description: A Darwincore file containing the meta data of the specimens examined in this study, using the template provided by GBIF for upload using the Integrated Publishing Toolkit (https://www.gbif.org/news/82852/new-darwin-core-spreadsheet-templates-simplify-data-preparation-and-publishing). <br>This work is supported by U. S. National Science Foundation grants DBI-1356381 and DEB-1353252.
DOI: 10.6084/m9.figshare.8281847.v2
title: Supplementary File 2

description: A Darwincore file containing the meta data of the specimens examined in this study, using the template provided by GBIF for upload using the Integrated Publishing Toolkit (https://www.gbif.org/news/82852/new-darwin-core-spreadsheet-templates-simplify-data-preparation-and-publishing). <br>This work is supported by U. S. National Science Foundation grants DBI-1356381 and DEB-1353252.
DOI: 10.6084/m9.figshare.8281841
title: Supplementary File 3

description: A list of all species, character states and data matrices used in the cladistic analysis.<br><br>This work is supported by U. S. National Science Foundation grants DBI-1356381 and DEB-1353252.
DOI: 10.6084/m9.figshare.8281838
title: Supplementary File 1

description: A table containing the species, specimens and measurements used for the shape principal component analysis (PCA). <br>This work is supported by U. S. National Science Foundation grants DBI-1356381 and DEB-1353252.
DOI: 10.6084/m9.figshare.8281847.v1
title: Supplementary File 3

description: A Darwincore file containing the meta data of the specimens examined in this study, using the template provided by GBIF for upload using the Integrated Publishing Toolkit (https://www.gbif.org/news/82852/new-darwin-core-spreadsheet-templates-simplify-data-preparation-and-publishing). <br>This work is supported by U. S. National Science Foundation grants DBI-1356381 and DEB-1353252.
DOI: 10.6084/m9.figshare.8281835
title: Tables 1-5

description: Tables 1 through 5.<br><br>This work is supported by U. S. National Science Foundation grants DBI-1356381 and DEB-1353252.
DOI: 10.6084/m9.figshare.8281826
title: Data Set for Retrospective cohort study monitoring Pegaspargase activity in acute lymphoblastic leukemia patients with and without premedication Lossaso M, Messinger Y, Bostrom B

description: Data from children and young adults with acute lymphoblastic leukemia receiving pegaspargase with and without premedications given to prevent high grade allergic reactions including anaphylaxis. Date include: pegaspargase activity following dose and incidence of high grade allergic reactions.
DOI: 10.6084/m9.figshare.8281838.v1
title: Supplementary File 1

description: A table containing the species, specimens and measurements used for the shape principal component analysis (PCA). <br>This work is supported by U. S. National Science Foundation grants DBI-1356381 and DEB-1353252.
DOI: 10.6084/m9.figshare.8281826.v1
title: Data Set for Retrospective cohort study monitoring Pegaspargase activity in acute lymphoblastic leukemia patients with and without premedication Lossaso M, Messinger Y, Bostrom B

description: Data from children and young adults with acute lymphoblastic leukemia receiving pegaspargase with and without premedications given to prevent high grade allergic reactions including anaphylaxis. Date include: pegaspargase activity following dose and incidence of high grade allergic reactions.
DOI: 10.6084/m9.figshare.8281835.v1
title: Tables 1-5

description: Tables 1 through 5.<br><br>This work is supported by U. S. National Science Foundation grants DBI-1356381 and DEB-1353252.
DOI: 10.6084/m9.figshare.8281841.v2
title: Supplementary File 3

description: A list of all species, character states and data matrices used in the cladistic analysis.<br><br>This work is supported by U. S. National Science Foundation grants DBI-1356381 and DEB-1353252.
DOI: 10.6084/m9.figshare.8281841.v1
title: Supplementary File 2

description: A list of all species, character states and data matrices used in the cladistic analysis.<br><br>This work is supported by U. S. National Science Foundation grants DBI-1356381 and DEB-1353252.
DOI: 10.6084/m9.figshare.8281730
title: Skeleton analysis 8209 GP 1

description: Skeleton analysis 8209 GP 1 2019 paper
DOI: 10.6084/m9.figshare.8281703
title: Sholl analysis 8224 GP 2

description: Sholl analysis 8224 GP 2 2019 paper
DOI: 10.6084/m9.figshare.8281709
title: Sholl analysis overall datasheet

description: Sholl analysis overall datasheet 2019 paper
DOI: 10.6084/m9.figshare.8281703.v1
title: Sholl analysis 8224 GP 2

description: Sholl analysis 8224 GP 2 2019 paper
DOI: 10.6084/m9.figshare.8281709.v1
title: Sholl analysis overall datasheet

description: Sholl analysis overall datasheet 2019 paper
DOI: 10.6084/m9.figshare.8281652
title: Sholl analysis 8224 GP 1

description: Sholl analysis 8224 GP 1 2019 figure
DOI: 10.6084/m9.figshare.8281649
title: A novel way to prepare difluoramino group compouds from hydroxyl compounds

description: A new and safe way to product difluoramino groups from hydroxyl by NaSO<sub>3</sub>NF<sub>2</sub> is presented, and the old way was available by HNF<sub>2</sub>, a dangerous gas. Various alcohols are used to prepare corresponding difluoramino compounds by this salts in this paper. The work also proved one of three hypothesis in difluoramination reagents system.
DOI: 10.6084/m9.figshare.8281646
title: Sholl analysis 8212 GP 2

description: Sholl analysis 8212 GP 2 2019 paper
DOI: 10.6084/m9.figshare.8281649.v1
title: A novel way to prepare difluoramino group compouds from hydroxyl compounds

description: A new and safe way to product difluoramino groups from hydroxyl by NaSO<sub>3</sub>NF<sub>2</sub> is presented, and the old way was available by HNF<sub>2</sub>, a dangerous gas. Various alcohols are used to prepare corresponding difluoramino compounds by this salts in this paper. The work also proved one of three hypothesis in difluoramination reagents system.
DOI: 10.6084/m9.figshare.8281652.v1
title: Sholl analysis 8224 GP 1

description: Sholl analysis 8224 GP 1 2019 figure
DOI: 10.6084/m9.figshare.8281628
title: Sholl analysis 8212 GP 1

description: Sholl analysis 8212 GP 1 2019 paper
DOI: 10.6084/m9.figshare.8281646.v1
title: Sholl analysis 8212 GP 2

description: Sholl analysis 8212 GP 2 2019 paper
DOI: 10.6084/m9.figshare.8281586
title: Sholl analysis 8210 GP 1

description: Sholl analysis 8210 GP 1 2019 paper
DOI: 10.6084/m9.figshare.8281628.v1
title: Sholl analysis 8212 GP 1

description: Sholl analysis 8212 GP 1 2019 paper
DOI: 10.6084/m9.figshare.8281586.v1
title: Sholl analysis 8210 GP 1

description: Sholl analysis 8210 GP 1 2019 paper
DOI: 10.6084/m9.figshare.8281604
title: Sholl analysis 8210 GP 2

description: Sholl analysis GP 2 2019 paper
DOI: 10.6084/m9.figshare.8281478
title: Sholl analysis 8209 GP 2

description: Sholl analysis 8209 GP 2 2019 paper
DOI: 10.6084/m9.figshare.8281475
title: Sholl analysis 8209 VCNIC

description: Sholl analysis 8209 VCNIC 2019 paper
DOI: 10.6084/m9.figshare.8281472
title: Sholl analysis 8209 LC

description: Sholl analysis 8209 LC 2019 paper
DOI: 10.6084/m9.figshare.8281478.v1
title: Sholl analysis 8209 GP 2

description: Sholl analysis 8209 GP 2 2019 paper
DOI: 10.6084/m9.figshare.8281472.v1
title: Sholl analysis 8209 LC

description: Sholl analysis 8209 LC 2019 paper
DOI: 10.6084/m9.figshare.8281460
title: Sholl analysis 8209 CIC

description: Sholl analysis 2019 paper
DOI: 10.6084/m9.figshare.8281463
title: Sholl analysis 8209 DC

description: Sholl analysis 8209 DC 2019 paper
DOI: 10.6084/m9.figshare.8281475.v1
title: Sholl analysis 8209 VCNIC

description: Sholl analysis 8209 VCNIC 2019 paper
DOI: 10.6084/m9.figshare.8281463.v1
title: Sholl analysis 8209 DC

description: Sholl analysis 8209 DC 2019 paper
DOI: 10.6084/m9.figshare.8281430
title: Soil Carbon

description: Description of data for Soil Ca sequestration.
DOI: 10.6084/m9.figshare.8281430.v1
title: Soil Carbon

description: Description of data for Soil Ca sequestration.
DOI: 10.17045/sthlmuni.8281406
title: Open data: Effects of a Manual Response Requirement on Early and Late Correlates of Auditory Awareness

description: Eklund, R., Gerdfeldter, B., & Wiens, S. (2019). Effects of a Manual Response Requirement on Early and Late Correlates of Auditory Awareness. Frontiers in Psychology, 10. https://doi.org/10.3389/fpsyg.2019.02083<br><br>We manipulated the manual response requirement (response and no-response) in an auditory detection task while we recorded electroencephalography. Event-related potentials (ERPs) were computed from these data.<br><br>AAN4_OSF_Register Auditory Awareness Negativity.pdf contains the preregistration at open science framework (osf).<br>https://doi.org/10.17605/OSF.IO/ZW8Q7<br><br>rawdata_2019_AAN4_*_**_bdf.zip contains the raw eeg data files (subjects * to **) that were recorded with a biosemi system (www.biosemi.com). The files can be opened in MNE-Python. https://www.nmr.mgh.harvard.edu/mne/stable/index.html<br><br>AAN4_MNE.zip contains all the Python scripts that were used to process the ERP data and the final, preprocessed individual data files. They can be opened with MNE-Python.<br><br>AAN4_Python.zip contains the python scripts for the main task. They need python (https://www.python.org/) and psychopy (http://www.psychopy.org/)<br><br>AAN4_beh_data_and_R_scripts.zip contains the behavioral data and R scripts to process the behavioral data. https://www.r-project.org/.<br><br><br>AAN4_Supplementary.zip contains:<br><br>JASP_AAN4_amps.html: Exploratory Bayesian analyses for response versus no-response for AAN (160 to 260 ms), LP (350 to 550 ms), and LPexp (350 to 450 ms).<br><br>Motivation_for_the_preregistered_electrode_selection.pdf: Explains rationale for electrode selection.<br><br>Simulation_AANr_minus_AANn.PNG: Results for the simulation of Bayesfactors for the AAN difference of response minus no-response.<br><br>Simulation_LPr_minus_LPn.PNG: Results for the simulation of Bayesfactors for the LP (350 to 550 ms) difference of response minus no-response.<br><br>Simulation_LPr_minus_LPn_shorter_interval.PNG: Results for the simulation of Bayesfactors for a shorter LP (350 to 450 ms) difference of response minus no-response.<br><br>Supp_Figure_erps.jpeg: Figure showing the ERPs to tones for the different conditions.<br><br>Supp_Figure_visual_components.jpeg: Figure showing the topographies of the visual component for all conditions.<br><br>source_localization_videos folder: Videos of source estimates for aware minus unaware critical trials and aware control trials.<br><br>data_driven_analysis folder: Contains analyses with data-driven electrode selection.<br><br> Electrodes_used_for_data_driven_analysis.txt: List of electrodes used for the data-driven analysis<br><br> Supp_Figure_data_driven.jpeg: Figure of the data-driven electrode selection for the topographies for AAN and LP.<br><br> Table_data_driven.docx: ERP results for the data-driven electrode selection.<br><br> JASP_AAN4_amps_data_driven.html: Bayesian analyses for the data-driven electrode selection.<br>
DOI: 10.17045/sthlmuni.8281406.v1
title: Open data: Effects of a Manual Response Requirement on Early and Late Correlates of Auditory Awareness

description: Eklund, R., Gerdfeldter, B., & Wiens, S. (2019). Effects of a Manual Response Requirement on Early and Late Correlates of Auditory Awareness. Frontiers in Psychology, 10. https://doi.org/10.3389/fpsyg.2019.02083<br><br>We manipulated the manual response requirement (response and no-response) in an auditory detection task while we recorded electroencephalography. Event-related potentials (ERPs) were computed from these data.<br><br>AAN4_OSF_Register Auditory Awareness Negativity.pdf contains the preregistration at open science framework (osf).<br>https://doi.org/10.17605/OSF.IO/ZW8Q7<br><br>rawdata_2019_AAN4_*_**_bdf.zip contains the raw eeg data files (subjects * to **) that were recorded with a biosemi system (www.biosemi.com). The files can be opened in MNE-Python. https://www.nmr.mgh.harvard.edu/mne/stable/index.html<br><br>AAN4_MNE.zip contains all the Python scripts that were used to process the ERP data and the final, preprocessed individual data files. They can be opened with MNE-Python.<br><br>AAN4_Python.zip contains the python scripts for the main task. They need python (https://www.python.org/) and psychopy (http://www.psychopy.org/)<br><br>AAN4_beh_data_and_R_scripts.zip contains the behavioral data and R scripts to process the behavioral data. https://www.r-project.org/.<br><br><br>AAN4_Supplementary.zip contains:<br><br>JASP_AAN4_amps.html: Exploratory Bayesian analyses for response versus no-response for AAN (160 to 260 ms), LP (350 to 550 ms), and LPexp (350 to 450 ms).<br><br>Motivation_for_the_preregistered_electrode_selection.pdf: Explains rationale for electrode selection.<br><br>Simulation_AANr_minus_AANn.PNG: Results for the simulation of Bayesfactors for the AAN difference of response minus no-response.<br><br>Simulation_LPr_minus_LPn.PNG: Results for the simulation of Bayesfactors for the LP (350 to 550 ms) difference of response minus no-response.<br><br>Simulation_LPr_minus_LPn_shorter_interval.PNG: Results for the simulation of Bayesfactors for a shorter LP (350 to 450 ms) difference of response minus no-response.<br><br>Supp_Figure_erps.jpeg: Figure showing the ERPs to tones for the different conditions.<br><br>Supp_Figure_visual_components.jpeg: Figure showing the topographies of the visual component for all conditions.<br><br>source_localization_videos folder: Videos of source estimates for aware minus unaware critical trials and aware control trials.<br><br>data_driven_analysis folder: Contains analyses with data-driven electrode selection.<br><br> Electrodes_used_for_data_driven_analysis.txt: List of electrodes used for the data-driven analysis<br><br> Supp_Figure_data_driven.jpeg: Figure of the data-driven electrode selection for the topographies for AAN and LP.<br><br> Table_data_driven.docx: ERP results for the data-driven electrode selection.<br><br> JASP_AAN4_amps_data_driven.html: Bayesian analyses for the data-driven electrode selection.<br>
DOI: 10.6084/m9.figshare.8281382
title: HS3_1_2.fq.gz

description: A part of transcriptome sequencing data of safflower flowers cultivated under different light intensities.
DOI: 10.6084/m9.figshare.8281382.v1
title: HS3_1_2.fq.gz

description: A part of transcriptome sequencing data of safflower flowers cultivated under different light intensities.
DOI: 10.6084/m9.figshare.8281379
title: HS3_1_1.fq.gz

description: A part of transcriptome sequencing data of safflower flowers cultivated under different light intensities.<br>
DOI: 10.6084/m9.figshare.8281379.v1
title: HS3_1_1.fq.gz

description: A part of transcriptome sequencing data of safflower flowers cultivated under different light intensities.<br>
DOI: 10.6084/m9.figshare.8281244
title: MOESM2 of The relative contributions of climate, soil, diversity and interactions to leaf trait variation and spectrum of invasive Solidago canadensis

description: Additional file 2 The raw data on leaf traits.
DOI: 10.6084/m9.figshare.8281244.v1
title: MOESM2 of The relative contributions of climate, soil, diversity and interactions to leaf trait variation and spectrum of invasive Solidago canadensis

description: Additional file 2 The raw data on leaf traits.
DOI: 10.6084/m9.figshare.8281109
title: HS3_2_2.fq.gz

description: A part of transcriptome sequencing data of safflower flowers cultivated under different light intensities.<br>
DOI: 10.6084/m9.figshare.8281109.v1
title: HS3_2_2.fq.gz

description: A part of transcriptome sequencing data of safflower flowers cultivated under different light intensities.<br>
DOI: 10.6084/m9.figshare.8281103
title: HS3_2_1.fq.gz

description: A part of transcriptome sequencing data of safflower flowers cultivated under different light intensities.
DOI: 10.6084/m9.figshare.8281103.v1
title: HS3_2_1.fq.gz

description: A part of transcriptome sequencing data of safflower flowers cultivated under different light intensities.
DOI: 10.6084/m9.figshare.8281067
title: Distribution hits Database

description: Distribution hits Database Annotation<br>
DOI: 10.6084/m9.figshare.8281070
title: Pick and Pen

description: The same data as pen and pick but in a tarball, with some log from a CNN
DOI: 10.6084/m9.figshare.8281061
title: superTranscripts Annotation.xlsx

description: superTranscripts Annotation
DOI: 10.6084/m9.figshare.8281067.v1
title: Distribution hits Database

description: Distribution hits Database Annotation<br>
DOI: 10.6084/m9.figshare.8281070.v1
title: Pick and Pen

description: The same data as pen and pick but in a tarball, with some log from a CNN
DOI: 10.6084/m9.figshare.8281049
title: GO annotattion.xlsx

description: GO annotattion annotation<br>
DOI: 10.6084/m9.figshare.8281055
title: Microsatellites (SSR) identified.xlsx

description: Microsatellites (SSR) identified.xlsx
DOI: 10.6084/m9.figshare.8281058
title: Single Nucleotide Polymorphism (SNP) identified.xlsx

description: Single Nucleotide Polymorphism (SNP) identified
DOI: 10.6084/m9.figshare.8281049.v1
title: GO annotattion.xlsx

description: GO annotattion annotation<br>
DOI: 10.6084/m9.figshare.8281055.v1
title: Microsatellites (SSR) identified.xlsx

description: Microsatellites (SSR) identified.xlsx