cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.18739/a28k74z3t
title: Workshop on Water, Culture, Language, and Native People in the Arctic (WOWCLAN), 2022 & 2023

description: The data archived was used to create the virtual Workshop on Water, Culture, Language, and Native People in the Arctic (WOWCLAN) Extended Reality (XR) workshop environments which also incorporated various publicly available sources published on the internet. These new workshop datasets included spatial scanning/environmental data (.glb), which facilitated the generation of 3D landscapes for three different XR-environments. Other data includes water quality sampling utilizing mobile application (HydroColor) water quality point source imagery in digital image (.png, .jpg) formats. Data displayed by HydroColor estimates the water turbidity (0-80 Nephelometric Turbidity Unit or NTU), concentration of suspended particulate matter (SPM) (grams per cubic meter or g/m^3) and the backscattering coefficient in the red (inverse meters or 1/m). Also included is location 360 imagery that offers immersive panoramic views, enriching the XR experience with diverse real-world locations.
DOI: 10.15784/601747
title: d15N and d18O of air in the WAIS Divide ice core

description: Major gas components of air data set, containing d15N, d18O of O2, dO2/N2, and dAr/N2 from the WAIS Divide ice core at high resolution. These data are used to constrain surface temperature, biosphere oxygen cycling, and firn thickness through the past &gt;60 kyr.
DOI: 10.5281/zenodo.10027818
title: СМЕШАННАЯ ЗАДАЧА ДЛЯ ТРЕХМЕРНОГО ЭЛЛИПТИЧЕСКОГО УРАВНЕНИЯ
DOI: 10.5281/zenodo.10027817
title: СМЕШАННАЯ ЗАДАЧА ДЛЯ ТРЕХМЕРНОГО ЭЛЛИПТИЧЕСКОГО УРАВНЕНИЯ
DOI: 10.5281/zenodo.10027831
title: Bermuda Atlantic Time-Series Study (BATS) Sediment Trap - Flux

description: This dataset is published on Zenodo by the Simons CMAP curators for long-term care. All credits go to the data producers at the Bermuda Atlantic Time-series Study (BATS): https://bats.bios.asu.edu/bats-data/ 
The BATS (Bermuda Atlantic Time-series Study) sediment trap - flux dataset is time-series spanning from 1988 to 2022. The dataset contains multiple nutrient flux measurements.
This dataset description has been reproduced using: https://www.dropbox.com/sh/3jl8pq7fvy7iejl/AAC8c91nuNa5aanxLtNxau2aa?dl=0&preview=bats_flux_v002.txt
DOI: 10.5281/zenodo.10027830
title: Bermuda Atlantic Time-Series Study (BATS) Sediment Trap - Flux

description: This dataset is published on Zenodo by the Simons CMAP curators for long-term care. All credits go to the data producers at the Bermuda Atlantic Time-series Study (BATS): https://bats.bios.asu.edu/bats-data/ 
The BATS (Bermuda Atlantic Time-series Study) sediment trap - flux dataset is time-series spanning from 1988 to 2022. The dataset contains multiple nutrient flux measurements.
This dataset description has been reproduced using: https://www.dropbox.com/sh/3jl8pq7fvy7iejl/AAC8c91nuNa5aanxLtNxau2aa?dl=0&preview=bats_flux_v002.txt
DOI: 10.5517/ccdc.csd.cc2bky51
title: CCDC 2162193: Experimental Crystal Structure Determination

description: Related Article: Cheng‐Kun Lin, Yi Chou, Xin‐Shun Chiou, Po‐Yu Tseng|2023|Chem. Sel.|8|e202300467|doi:10.1002/slct.202300467
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.cc2bky62
title: CCDC 2162194: Experimental Crystal Structure Determination

description: Related Article: Cheng‐Kun Lin, Yi Chou, Xin‐Shun Chiou, Po‐Yu Tseng|2023|Chem. Sel.|8|e202300467|doi:10.1002/slct.202300467
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.cc2bky73
title: CCDC 2162195: Experimental Crystal Structure Determination

description: Related Article: Cheng‐Kun Lin, Yi Chou, Xin‐Shun Chiou, Po‐Yu Tseng|2023|Chem. Sel.|8|e202300467|doi:10.1002/slct.202300467
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.cc2c22yh
title: CCDC 2176756: Experimental Crystal Structure Determination

description: Related Article: Kazuma Sugawara, Toshikazu Ono, Yoshio Yano, Takanori Suzuki, Yusuke Ishigaki|2023|Mater. Chem. Front.|7|1591|doi:10.1039/D2QM01199A
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.cc2c22zj
title: CCDC 2176757: Experimental Crystal Structure Determination

description: Related Article: Kazuma Sugawara, Toshikazu Ono, Yoshio Yano, Takanori Suzuki, Yusuke Ishigaki|2023|Mater. Chem. Front.|7|1591|doi:10.1039/D2QM01199A
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.cc2c230l
title: CCDC 2176758: Experimental Crystal Structure Determination

description: Related Article: Kazuma Sugawara, Toshikazu Ono, Yoshio Yano, Takanori Suzuki, Yusuke Ishigaki|2023|Mater. Chem. Front.|7|1591|doi:10.1039/D2QM01199A
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.cc2c231m
title: CCDC 2176759: Experimental Crystal Structure Determination

description: Related Article: Kazuma Sugawara, Toshikazu Ono, Yoshio Yano, Takanori Suzuki, Yusuke Ishigaki|2023|Mater. Chem. Front.|7|1591|doi:10.1039/D2QM01199A
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.cc2c232n
title: CCDC 2176760: Experimental Crystal Structure Determination

description: Related Article: Kazuma Sugawara, Toshikazu Ono, Yoshio Yano, Takanori Suzuki, Yusuke Ishigaki|2023|Mater. Chem. Front.|7|1591|doi:10.1039/D2QM01199A
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.cc2c236s
title: CCDC 2176764: Experimental Crystal Structure Determination

description: Related Article: Kazuma Sugawara, Toshikazu Ono, Yoshio Yano, Takanori Suzuki, Yusuke Ishigaki|2023|Mater. Chem. Front.|7|1591|doi:10.1039/D2QM01199A
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.cc2c238v
title: CCDC 2176766: Experimental Crystal Structure Determination

description: Related Article: Kazuma Sugawara, Toshikazu Ono, Yoshio Yano, Takanori Suzuki, Yusuke Ishigaki|2023|Mater. Chem. Front.|7|1591|doi:10.1039/D2QM01199A
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: 10.25345/c5p26qd93
title: MassIVE MSV000093162 - 20231020_seaweed_GSMS_HD_volatile
title: We utilized Agilent 7200 Q_TOF GC/MS instrument to consider seaweed samples. These results are achieved from headspace part.
DOI: 10.6084/m9.figshare.24406702
title: LSK - scRNA Seurat object

description: Time course scATAC-seq for in vitro hematopoiesis along with single cell linege tracing using CellTag-multi barcode library.Metadata information:Cell types are stored in metadata column <b>cell_type2</b>. RNA UMAP is stored in the <b>pal</b> reduction and the clone-cell embedding is stored in the <b>cce</b> reduction.
DOI: 10.57967/hf/1248
title: ReDev
DOI: 10.3886/e194482
title: Data and Code for: Does information affect homophily?

description: It is common for mentorship programs to use race, gender, and nationality to match mentors and mentees. Despite the popularity of these programs, there is little evidence on whether mentees value mentors with shared traits. Using novel administrative data from an online college mentoring platform connecting students and alumni, we document that female students indeed disproportionately reach out to female mentors. We investigate whether female students make costly trade-offs in order to access a female mentor. By eliciting students’ preferences over mentor attributes, we find that female students are willing to trade off occupational match in order to access a female mentor. This willingness to pay for female mentors declines to zero when information on mentor quality is provided. The evidence suggests that female students use mentor gender to alleviate information problems, but do not derive direct utility from it. We discuss the implications of these results for the design of initiatives that match on shared traits. <br>
DOI: 10.3886/e194482v1
title: Data and Code for: Does information affect homophily?

description: It is common for mentorship programs to use race, gender, and nationality to match mentors and mentees. Despite the popularity of these programs, there is little evidence on whether mentees value mentors with shared traits. Using novel administrative data from an online college mentoring platform connecting students and alumni, we document that female students indeed disproportionately reach out to female mentors. We investigate whether female students make costly trade-offs in order to access a female mentor. By eliciting students’ preferences over mentor attributes, we find that female students are willing to trade off occupational match in order to access a female mentor. This willingness to pay for female mentors declines to zero when information on mentor quality is provided. The evidence suggests that female students use mentor gender to alleviate information problems, but do not derive direct utility from it. We discuss the implications of these results for the design of initiatives that match on shared traits. <br>
DOI: 10.5281/zenodo.10027849
title: MAKTABGACHA TA'LIM TIZIMINI BOSHQARISHDA RAHBAR VA XODIM MUNOSABATLARI
DOI: 10.5281/zenodo.10027850
title: MAKTABGACHA TA'LIM TIZIMINI BOSHQARISHDA RAHBAR VA XODIM MUNOSABATLARI
DOI: 10.5517/ccdc.csd.cc2cy6vd
title: CCDC 2202824: Experimental Crystal Structure Determination

description: Related Article: Jan Novotný, Jan Chyba, Anna Hruzíková, Petra Pikulová, Aliaksandra Kursit, Michal Knor, Kateřina Marková, Jaromír Marek, Pia Jurček, Ondřej Jurček, Radek Marek|2023|Cell Reports Physical Science|4|101461|doi:10.1016/j.xcrp.2023.101461
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.cc2cy6tc
title: CCDC 2202823: Experimental Crystal Structure Determination

description: Related Article: Jan Novotný, Jan Chyba, Anna Hruzíková, Petra Pikulová, Aliaksandra Kursit, Michal Knor, Kateřina Marková, Jaromír Marek, Pia Jurček, Ondřej Jurček, Radek Marek|2023|Cell Reports Physical Science|4|101461|doi:10.1016/j.xcrp.2023.101461
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.cc2dnn0r
title: CCDC 2224374: Experimental Crystal Structure Determination

description: Related Article: Fatima Ghalbououn, Ramadan Abuhmaiera, Fathia Treish, Ramadan Elmehdawi|2023|Academic J. Sci. Tech.|1|114|
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.cc2dqmqh
title: CCDC 2226287: Experimental Crystal Structure Determination

description: Related Article: Niklas Geue, Grigore A. Timco, George F. S. Whitehead, Eric J. L. McInnes, Neil A. Burton, Richard E. P. Winpenny, Perdita E. Barran |2023|Nat. Synth.|2|926|doi:10.1038/s44160-023-00383-7
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.cc2dqmrj
title: CCDC 2226288: Experimental Crystal Structure Determination

description: Related Article: Niklas Geue, Grigore A. Timco, George F. S. Whitehead, Eric J. L. McInnes, Neil A. Burton, Richard E. P. Winpenny, Perdita E. Barran |2023|Nat. Synth.|2|926|doi:10.1038/s44160-023-00383-7
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: 10.57967/hf/1251
title: ReDev
DOI: 10.57967/hf/1250
title: ReDev
DOI: 10.5281/zenodo.8419261
title: Ramp-Flat and Splay Faulting Illuminated by Frictional Afterslip Following the 2017 Mw 7.3 Sarpol-e Zahab Earthquake

description: The postseismic InSAR data used in the manuscript "Frictional Afterslip along a Complex Fault Structure Following the 2017 Mw 7.3 Sarpol-e Zahab Earthquake Revealed by InSAR and 2-D Finite Element Models".
DOI: 10.5281/zenodo.8419262
title: Ramp-Flat and Splay Faulting Illuminated by Frictional Afterslip Following the 2017 Mw 7.3 Sarpol-e Zahab Earthquake

description: The postseismic InSAR data used in the manuscript "Frictional Afterslip along a Complex Fault Structure Following the 2017 Mw 7.3 Sarpol-e Zahab Earthquake Revealed by InSAR and 2-D Finite Element Models".
DOI: 10.15132/10000236
title: Udgård III – Portlethen Raw Dataset

description: Following the meeting of the Fire and Explosion Investigation Working Group (FEIWG) of the European Network of Forensic Science Institutes (ENFSI) meeting in Tallinn, Estonia, 2018, the Scottish Police Authority (SPA) started a collaboration with the Nationalt Kriminalteknisk Center (NKC) during their visit to the Leverhulme Research Centre for Forensic Science (LRCFS), University of Dundee, United Kingdom. The Scottish Fire & Rescue Service (SFRS), SPA and NKC met and exchanged working practices in their respective jurisdictions. The meeting culminated in an invite for SFRS and SPA to attend the fire investigation training facility at Revinge, Sweden, as part of a training course run by NKC. This visit resulted in a proposal for collaboration amongst the LRCFS, SPA and SFRS, with close working ties with NKC, to create the first training facility of this kind in Scotland envisaging the use of converted storage containers.
Two portable cabins were purchased, converted into rooms, and sited within the SFRS training facility at Portlethen, Scotland, United Kingdom. A dedicated working group ensured the facility set-up and ran to ensure maximum return for invested resources from all agencies involved.
The shipping containers, in line with subsequent Udgard (Sept-2021) and Udgard II (April-2023) projects carried out by the collaboration between the LRCFS and NKC, have been named ‘Brigid’ and ‘Kelpie’.The LRCFS developed a standard operating procedure (SOP) for scene capture known as the ‘Dundee GT Protocol’, which was employed to carry out the photogrammetric acquisition of the scenes. The Udgård project enabled the digital registration of the site with a range of devices and scanning techniques, to be used to capture the same scenes across two phases: Beta (pre-fire crime scene) and Gamma (post-fire crime scene). The collection of the data presented in this dataset was performed in Portlethen, Scotland, United Kingdom on July 5th, 2023 (week 27). The collaboration between the LRCFS, SPA and NKC has successfully generated 3D reconstructions to be visualised in Virtual Reality (VR), to be used as both investigative and
training tools. The LRCFS, SPA and NKC have agreed to share these co-created training and research materials produced during the crime scene exercises and live burns across all the participant organisations. The produced data will be used For education and training (including revenue-generating courses for both organisations) and the generation of outputs that may have exploitable commercialisation potential. All Udgård partners can access a downloadable database with the results from Udgård, such as lidar scanners, Matterport, still photographs, videos, and measurements of the sensors deployed at the scene.

Keywords: forensic science, virtual reality, crime scene investigation, fire, photogrammetry, point cloud, 3d registration.
DOI: 10.15132/10000242
title: Udgård II Raw Dataset

description: The "Bruin" Project carried out by the Leverhulme Research Centre for Forensic Science (LRCFS) at the University of Dundee (UoD) aims at establishing protocols to obtain systematic digital documentation of crime scenes, ultimately focusing on optimising data collection to reconstruct indoor environments of forensic interest to be viewed through immersive Virtual Reality.
The LRCFS and the National Forensic Services (NKC) at the Danish National Police started a collaboration to document fire scenes for training in the spring of 2019.
Early results unlocked the understanding of the needs of the practitioners, identifying use cases and challenges to obtain an accurate virtual reality render of the scenes of interest.
The LRCFS published a standard operating procedure (SOP) for scene capture known as the Dundee GT protocol (DOI: 10.1016/j.scijus.2023.01.001), which led to the first data collection “Udgård 2021 Raw Dataset” (DOI: 10.15132/10000174), together with a range of other digitalisation techniques. As the first Udgård data collection primarily focused on the digitalisation of fire scenes, the present dataset aims at enlarging the pool of data produced by applying an array of digitalisation tools and techniques to new scenes depicting a variety of cases and different traces.
The collaboration between the LRCFS and NKC has successfully generated data to support virtual reality representations of the following scenes and crimes:
Eduard (Yellow house) - Sexual assault/Homicide. Blood patterns, Firearms.
Grainne (Red house) - Sexual assault. Blood patterns.
Etna (Brown house) - Clandestine laboratory, blood patterns, drug.
Hae Tae (White house) - Home robbery. Fireharms, Footmarks.
The LRCFS and NKC have agreed to share the research materials produced during the crime scene exercises and that both organisations will use the outcomes for education and training.
All Udgård contributing partners can access a downloadable database with the results from Udgård, such as lidar and Matterport scans, still photographs, videos, 360 photographs, 360 videos, and other data included in this dataset.
DOI: 10.5281/zenodo.7847681
title: PLAT Domain Protein 1 (PLAT1/PLAFP) Binds to the Arabidopsis thaliana Plasma Membrane and Inserts a Lipid

description: Harvest yields depend on the plant's ability to fix carbon and deal with changing environmental conditions. Especially during seasonal and diurnal cycles, the plant must constantly adjust its metabolism according to available resources or external stressors. The metabolic changes that a plant undergoes in response to stress are well understood, but the long-distance signaling mechanisms that facilitate communication throughout the plant are less studied. The phloem is considered the predominant conduit for the bidirectional transport of these signals through metabolites, nucleic acids, proteins, and lipids. Lipid trafficking through the phloem in particular attracted our attention due to its reliance on soluble lipid-binding proteins (LBP) that generate and solubilize otherwise membrane-associated lipids. The Phloem Lipid-Associated Family Protein (PLAFP) from Arabidopsis thaliana is generated in response to abiotic stress as is its lipid-ligand phosphatidic acid (PA). PLAFP is proposed to transport PA through the phloem in response to drought stress. To understand the interactions between PLAFP and PA, almost 100 independent systems comprised of the protein and one PA, or a plasma membrane containing varying amounts of PA, were simulated. In the simulations, PLAFP does bind to the plasma membrane independent of the PA concentration, and it adopts a binding pose, where W41 and R82 penetrate the membrane surface and anchor PLAFP. This triggers a separation of the two loop regions containing W41 and R82. Subsequently, PA does insert into PLAFP's beta-sandwich and multiple amino acids besides W41 and R82 are identified that drive the insertion. Fine-tuning the protein-membrane and protein-PA interface by mutating a selection of these amino acids could allow modulating the signaling sensitivity to the climate the plant is supposed to grow in.