cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7754315
title: Phospho-seq: Integrated, multi-modal profiling of intracellular protein dynamics in single cells

description: Datasets to go along with the publication listed: full_object.rds: Brain Organoid Phospho-Seq dataset with ATAC, Protein and imputed RNA data rna_object.rds: Reference whole cell scRNA-Seq object on Brain organoids multiome_object.rds: Bridge dataset containing RNA and ATAC modalities for Brain organoids metacell_allnorm.rds: Metacell object for finding gene-peak-protein linkages in Brain organoid dataset fullobject_fragments.tsv.gz: fragment file to go with the full object fullobject_fragments.tsv.gz.tbi:index file for the full object fragment file multiome_fragments.tsv.gz: fragment file to go with the multiome object multiome_fragments.tsv.gz.tbi:index file for the multiome object fragment file K562_Stem.rds : object corresponding to the pilot experiment including K562 cells and iPS cells K562_stem_fragments.tsv.gz: fragment file to go with the K562_stem object K562_stem_fragments.tsv.gz.tbi: index file for the K562_stem object fragment file To use the K562 and multiome datasets provided, please use these lines of code to import the object into Signac/Seurat and change the fragment file path to the corresponding downloaded fragment file: <pre><code>obj &lt;- readRDS("obj.rds") # remove fragment file information Fragments(obj) &lt;- NULL # Update the path of the fragment file Fragments(obj) &lt;- CreateFragmentObject(path = "download/obj_fragments.tsv.gz", cells = Cells(obj))</code></pre> To use the "fullobject" dataset provided, please use these lines of code to import the object into Signac/Seurat and change the fragment file path to the corresponding downloaded fragment file: <pre><code>#load the stringr package library(stringr) #load the object obj &lt;- readRDS("obj.rds") # remove fragment file information Fragments(obj) &lt;- NULL #Remove unwanted residual information and rename cells obj@reductions$norm.adt.pca &lt;- NULL obj@reductions$norm.pca &lt;- NULL obj &lt;- RenameCells(obj, new.names = str_remove(Cells(obj), "atac_")) # Update the path of the fragment file Fragments(obj) &lt;- CreateFragmentObject(path = "download/obj_fragments.tsv.gz", cells = Cells(obj))</code></pre>
DOI: 10.25919/br89-xh42
title: Parkes observations for project P1054 semester 2023OCTS_04

description: With this proposal we ask time to continue our timing follow-up campaign of pulsars discovered with the MeerKAT telescope. Twentyfive sources have been discovered in targeted observations of Fermi unidentified point sources, one in association with a Supernova Remnant, 13 in the Magellanic Clouds, 72 in Globular Clusters and 78 in a survey of the Galactic plane. A large fraction of the new discoveries are recycled pulsars (including at least one double neutron star system and several 'spider' binaries), or young pulsars. Timing observations have an essential role in exploiting the full potential of any pulsar discovery, allowing the precise measurement of rotational, astrometric and orbital parameters which, in turn, give us powerful tools to improve our understanding of the physics in extreme environments as well as of the population of neutron stars as a whole. The UWL receiver of the Parkes telescope is a sensitive, versatile instrument that is allowing us to successfully time these new sources, in the bright-end of TRAPUM discoveries.
DOI: 10.25919/a0y6-v154
title: Parkes observations for project P1054 semester 2023OCTS_05

description: With this proposal we ask time to continue our timing follow-up campaign of pulsars discovered with the MeerKAT telescope. Twentyfive sources have been discovered in targeted observations of Fermi unidentified point sources, one in association with a Supernova Remnant, 13 in the Magellanic Clouds, 72 in Globular Clusters and 78 in a survey of the Galactic plane. A large fraction of the new discoveries are recycled pulsars (including at least one double neutron star system and several 'spider' binaries), or young pulsars. Timing observations have an essential role in exploiting the full potential of any pulsar discovery, allowing the precise measurement of rotational, astrometric and orbital parameters which, in turn, give us powerful tools to improve our understanding of the physics in extreme environments as well as of the population of neutron stars as a whole. The UWL receiver of the Parkes telescope is a sensitive, versatile instrument that is allowing us to successfully time these new sources, in the bright-end of TRAPUM discoveries.
DOI: 10.6084/m9.figshare.24616113.v1
title: 4D flow demo data for SCC

description: This is 4D flow rawdata with all sensitive information removed. Check https://github.com/OSU-MR/SCC for more details.
DOI: 10.25919/44ay-b785
title: Parkes observations for project PX600 semester 2020APRS_96

description: The Galactic Center (GC) is a key target for the radio component of Breakthrough Listen (BL) program. Offering the largest amount of stars in any given direction in the sky, the GC is widely cited as a location believed to harbour advanced civilizations, and it is also the most energetic region in the Milky Way. We aim to conduct BL-GC Survey with Parkes radio telescope for around 350 hours. We will cover the frequency range from 700 MHz to 4 GHz, utilizing the newly installed ultra-wideband receiver. Our team has already leveraged both standard and bespoke tools to construct a flexible software stack to search data for signals of interest. We will look for signals from extraterrestrial intelligence (ETI) by searching for both simple narrow-band signals and complex modulated signals. Along with that, as an ancillary science, we will also search for accelerated pulsars — likely orbiting a supermassive black hole at the centre of the Milky Way Galaxy. Data products produced during this program will also be publically available to engage larger pulsar community
DOI: 10.5281/zenodo.10198768
title: Strainy: phasing and assembly of strain haplotypes from long-read metagenome sequencing

description: This repository contains the reads, assemblies, and references required to replicate the simulated, mock and real dataset results presented in the paper: https://doi.org/10.1101/2023.01.31.526521
DOI: 10.25919/rrpg-m948
title: Daily 100 m land surface temperature generated through MODIS-Landsat fusion for 12 OzFlux regions across Australia during 2013-2021

description: This collection aims to provide land surface temperature (LST) data for benchmarking algorithmic refinements of spatiotemporal fusion approaches. It contains LST data generated through MODIS-Landsat fusion for 12 OzFlux regions across Australia during 2013-2021 (and Himawari-Landsat fusion for 3 OzFlux regions within southeast Australia during 2016-2021). The area of each region is 100 × 100 km. The spatial resolution is 100 m and the temporal frequency is daily (around 10:30 am local solar time). This collection also provides the MODIS (and Himawari) and Landsat data that were used as inputs into the fusion, as well as an independent LST collection from the ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS) that was employed for cross-platform comparison. Several important updates within this version: - Updated the site description file with climate, land cover, and monthly emissivity values for each site. - Updated the OzFlux LST data using a new strategy. This strategy does not consider daylight saving time and does explicitly claim the 'seconds' timestep in the TOI (Time of Interests). Compared to the strategy used in our RSE paper, this strategy is expected to better coincide with the satellite overpass time. - Added MOD11A1 LST and viewtime data for the Australian continent during 2013-2021, with their native resolution of 1 km. Users can just simply clip the data to their targetted study areas. - Added the Himawari-Landsat fusion LST data for 3 OzFlux regions within southeast Australia during 2016-2021. The data format is identical to the MODIS-Landsat fusion LST data.
DOI: 10.17909/3721-pj98
title: HST STIS-spectroscopy and imaging data 

description: We gathered UV  STIS-spectroscopy to explore HeII 1640 and HeII 4686 broad stellar Wolf-Rayet emission. We furthermore gathered imaging data in order to visualize the targets.
DOI: 10.18739/a2pz51n8q
title: The COVID-19 Gender-Responsive Policies in the Arctic (2020–2022)

description: The study on the COVID-19 gendered policy responses in the Arctic aims to improve understanding of the impacts of the COVID-19 pandemic on women in the New Arctic at regional and local levels. The dataset provides information on a wide range of policy measures introduced by Arctic countries' governments to tackle the COVID-19 pandemic in order to promote sustainability in the region, as well as identifies gender-responsive policies. These policies directly address women's economic and social security, including unpaid care, female-dominated sectors of the economy, and violence against women. In addition, the dataset includes information about COVID-19 Task Forces, highlighting gender composition. This study followed the methodology developed by the United Nations (UN) Development Programme and UN Women, yet the novelty of this study is that it is designed to aggregate COVID-19 measures implemented by various levels of governance. As a showcase of different levels of governance, the dataset uses the examples of the selected study sites – Iceland, Russia, and the United States – to test a new approach. For the United States, it highlights measures at the state (Alaska) level and municipal level (cities of Anchorage, Fairbanks, Juneau, and town of Nome). For Iceland – the municipal level (city of Akureyri and town of Húsavík). For Russia, it covers the regional (Nenets and Chukotka Regions) and municipal (city of Naryan-Mar and town of Pevek) levels. In addition, the dataset includes national policy measures for Canada, Finland, Greenland (data for Greenland are currently not readily accessible; thus, the dataset provides information about policy measures for the Kingdom of Denmark), Iceland, Norway, Russia, Sweden, and the United States, as identified by the UN. Based on this dataset, the COVID-GEA project developed the Arctic COVID-19 Gender Response Tracker (COVID-GEA Tracker). The COVID-GEA Tracker is available here: https://www.arcticcovidgender.org/tracker The study is based on publicly available data, including official documents, and the UN COVID-19 Global Gender Response Tracker data.
DOI: 10.5517/ccdc.csd.cc2gwg94
title: CCDC 2290506: Experimental Crystal Structure Determination

description: Related Article: Hao-Wei Lin, Yang-Peng Lin, Dan-Dan Huang, Zhi-Hua Chen, Ying-Chen Peng, Ze-Ping Wang, Ke-Zhao Du, Xiao-Ying Huang|2023|Inorg.Chem.|62|18331|doi:10.1021/acs.inorgchem.3c02960
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2gwgd7
title: CCDC 2290509: Experimental Crystal Structure Determination

description: Related Article: Hao-Wei Lin, Yang-Peng Lin, Dan-Dan Huang, Zhi-Hua Chen, Ying-Chen Peng, Ze-Ping Wang, Ke-Zhao Du, Xiao-Ying Huang|2023|Inorg.Chem.|62|18331|doi:10.1021/acs.inorgchem.3c02960
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2gxyx8
title: CCDC 2291951: Experimental Crystal Structure Determination

description: Related Article: Haruki Shimoji, Toshiki Fujii, Akifumi Sumida, Yuichi Kitagawa, Yasuchika Hasegawa, Hiroaki Imoto, Kensuke Naka|2023|J.Mater.Chem.C|11|15608|doi:10.1039/D3TC03297C
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2gxyy9
title: CCDC 2291952: Experimental Crystal Structure Determination

description: Related Article: Haruki Shimoji, Toshiki Fujii, Akifumi Sumida, Yuichi Kitagawa, Yasuchika Hasegawa, Hiroaki Imoto, Kensuke Naka|2023|J.Mater.Chem.C|11|15608|doi:10.1039/D3TC03297C
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2gxyzb
title: CCDC 2291953: Experimental Crystal Structure Determination

description: Related Article: Haruki Shimoji, Toshiki Fujii, Akifumi Sumida, Yuichi Kitagawa, Yasuchika Hasegawa, Hiroaki Imoto, Kensuke Naka|2023|J.Mater.Chem.C|11|15608|doi:10.1039/D3TC03297C
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2gxz0d
title: CCDC 2291954: Experimental Crystal Structure Determination

description: Related Article: Haruki Shimoji, Toshiki Fujii, Akifumi Sumida, Yuichi Kitagawa, Yasuchika Hasegawa, Hiroaki Imoto, Kensuke Naka|2023|J.Mater.Chem.C|11|15608|doi:10.1039/D3TC03297C
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2gxz1f
title: CCDC 2291955: Experimental Crystal Structure Determination

description: Related Article: Haruki Shimoji, Toshiki Fujii, Akifumi Sumida, Yuichi Kitagawa, Yasuchika Hasegawa, Hiroaki Imoto, Kensuke Naka|2023|J.Mater.Chem.C|11|15608|doi:10.1039/D3TC03297C
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2gxz2g
title: CCDC 2291956: Experimental Crystal Structure Determination

description: Related Article: Haruki Shimoji, Toshiki Fujii, Akifumi Sumida, Yuichi Kitagawa, Yasuchika Hasegawa, Hiroaki Imoto, Kensuke Naka|2023|J.Mater.Chem.C|11|15608|doi:10.1039/D3TC03297C
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2gxz3h
title: CCDC 2291957: Experimental Crystal Structure Determination

description: Related Article: Haruki Shimoji, Toshiki Fujii, Akifumi Sumida, Yuichi Kitagawa, Yasuchika Hasegawa, Hiroaki Imoto, Kensuke Naka|2023|J.Mater.Chem.C|11|15608|doi:10.1039/D3TC03297C
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2gxz4j
title: CCDC 2291958: Experimental Crystal Structure Determination

description: Related Article: Haruki Shimoji, Toshiki Fujii, Akifumi Sumida, Yuichi Kitagawa, Yasuchika Hasegawa, Hiroaki Imoto, Kensuke Naka|2023|J.Mater.Chem.C|11|15608|doi:10.1039/D3TC03297C
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2h002m
title: CCDC 2293909: Experimental Crystal Structure Determination

description: Related Article: Mokilla Ramachandra Reddy, Eerappa Rajakumara, Gedu Satyanarayana|2023|Chem.Commun.|59|13755|doi:10.1039/D3CC04473D
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2h003n
title: CCDC 2293910: Experimental Crystal Structure Determination

description: Related Article: Mokilla Ramachandra Reddy, Eerappa Rajakumara, Gedu Satyanarayana|2023|Chem.Commun.|59|13755|doi:10.1039/D3CC04473D
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2h006r
title: CCDC 2293913: Experimental Crystal Structure Determination

description: Related Article: Mokilla Ramachandra Reddy, Eerappa Rajakumara, Gedu Satyanarayana|2023|Chem.Commun.|59|13755|doi:10.1039/D3CC04473D
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.17909/wqf5-5730
title: Data from "Candidate Galaxies at z>=11.3–21.8 and beyond"
DOI: 10.25959/dq8w-f426
title: De-identified transcripts - Understanding the perspectives and needs of multiple stakeholders: Identifying key elements of a digital health intervention to protect against environmental hazards

description: This dataset holds the de-identified transcripts of interviews and focus groups with (a) health care professionals and (b) government agencies and non-government organisation representatives, regarding their perspectives on the smartphone app AirRater. 

AirRater is a smartphone environmental health app developed in Australia with the capability to collect individual health data and disseminate environmental hazard information to populations. Following on from evaluations involving app users, we wanted to understand key stakeholder knowledge and attitudes towards the app, as well as perceptions of its value, individual and/or organisational barriers to use, and opportunities to enhance the app. This study sought to explore these stakeholders' perspectives on the utility of environmental heath apps such as AirRater to support clinical and public health outcomes.
DOI: 10.17909/qv8h-sz76
title: Data for "Candidate Galaxies at z >= 11.3–21.8 and beyond"
DOI: 10.6084/m9.figshare.24615195.v1
title: Mouse single nucleus methylation data Inh-MGE.methylation.txt.gz

description: Single nucleus methylation data from eight inbred strains: A/J, C57BL/6J, CAST/EiJ, BALB/cJ, FVB/J DBA/2J, PWK/PhJ, and WSB/EiJ.
DOI: 10.6084/m9.figshare.24615198
title: Mouse single nucleus methylation data Exc-ENT.methylation.txt.gz

description: Single nucleus methylation data from eight inbred strains: A/J, C57BL/6J, CAST/EiJ, BALB/cJ, FVB/J DBA/2J, PWK/PhJ, and WSB/EiJ.
DOI: 10.6084/m9.figshare.24615189
title: Mouse single nucleus methylation data Exc-Cdh12.methylation.txt.gz

description: Single nucleus methylation data from eight inbred strains: A/J, C57BL/6J, CAST/EiJ, BALB/cJ, FVB/J DBA/2J, PWK/PhJ, and WSB/EiJ.
DOI: 10.6084/m9.figshare.24615192
title: Mouse single nucleus methylation data Inh-CGE.methylation.txt.gz

description: Single nucleus methylation data from eight inbred strains: A/J, C57BL/6J, CAST/EiJ, BALB/cJ, FVB/J DBA/2J, PWK/PhJ, and WSB/EiJ.
DOI: 10.6084/m9.figshare.24615195
title: Mouse single nucleus methylation data Inh-MGE.methylation.txt.gz

description: Single nucleus methylation data from eight inbred strains: A/J, C57BL/6J, CAST/EiJ, BALB/cJ, FVB/J DBA/2J, PWK/PhJ, and WSB/EiJ.
DOI: 10.6084/m9.figshare.24615198.v1
title: Mouse single nucleus methylation data Exc-ENT.methylation.txt.gz

description: Single nucleus methylation data from eight inbred strains: A/J, C57BL/6J, CAST/EiJ, BALB/cJ, FVB/J DBA/2J, PWK/PhJ, and WSB/EiJ.
DOI: 10.6084/m9.figshare.24615189.v1
title: Mouse single nucleus methylation data Exc-Cdh12.methylation.txt.gz

description: Single nucleus methylation data from eight inbred strains: A/J, C57BL/6J, CAST/EiJ, BALB/cJ, FVB/J DBA/2J, PWK/PhJ, and WSB/EiJ.
DOI: 10.6084/m9.figshare.24615192.v1
title: Mouse single nucleus methylation data Inh-CGE.methylation.txt.gz

description: Single nucleus methylation data from eight inbred strains: A/J, C57BL/6J, CAST/EiJ, BALB/cJ, FVB/J DBA/2J, PWK/PhJ, and WSB/EiJ.
DOI: 10.6084/m9.figshare.24615201
title: Mouse single nucleus methylation data Exc-Gpc6.methylation.txt.gz

description: Single nucleus methylation data from eight inbred strains: A/J, C57BL/6J, CAST/EiJ, BALB/cJ, FVB/J DBA/2J, PWK/PhJ, and WSB/EiJ.
DOI: 10.6084/m9.figshare.24615201.v1
title: Mouse single nucleus methylation data Exc-Gpc6.methylation.txt.gz

description: Single nucleus methylation data from eight inbred strains: A/J, C57BL/6J, CAST/EiJ, BALB/cJ, FVB/J DBA/2J, PWK/PhJ, and WSB/EiJ.
DOI: 10.6084/m9.figshare.24615207
title: Mouse single nucleus methylation data NN-ODC.methylation.txt.gz

description: Single nucleus methylation data from eight inbred strains: A/J, C57BL/6J, CAST/EiJ, BALB/cJ, FVB/J DBA/2J, PWK/PhJ, and WSB/EiJ.
DOI: 10.6084/m9.figshare.24615204
title: Mouse single nucleus methylation data NN-EC.methylation.txt.gz

description: Single nucleus methylation data from eight inbred strains: A/J, C57BL/6J, CAST/EiJ, BALB/cJ, FVB/J DBA/2J, PWK/PhJ, and WSB/EiJ.
DOI: 10.6084/m9.figshare.24615204.v1
title: Mouse single nucleus methylation data NN-EC.methylation.txt.gz

description: Single nucleus methylation data from eight inbred strains: A/J, C57BL/6J, CAST/EiJ, BALB/cJ, FVB/J DBA/2J, PWK/PhJ, and WSB/EiJ.
DOI: 10.6084/m9.figshare.24615207.v1
title: Mouse single nucleus methylation data NN-ODC.methylation.txt.gz

description: Single nucleus methylation data from eight inbred strains: A/J, C57BL/6J, CAST/EiJ, BALB/cJ, FVB/J DBA/2J, PWK/PhJ, and WSB/EiJ.
DOI: 10.6084/m9.figshare.24615213.v1
title: Mouse single nucleus methylation data Exc-DG.methylation.txt.gz

description: Single nucleus methylation data from eight inbred strains: A/J, C57BL/6J, CAST/EiJ, BALB/cJ, FVB/J DBA/2J, PWK/PhJ, and WSB/EiJ.