cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7284/145810
title: Expendable Probe data collected during research cruise NBP0603 using a Sippican MK12 instrument system onboard the platform RV Nathaniel B. Palmer

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.5517/ccdc.csd.cc28q0tv
title: CCDC 2106537: Experimental Crystal Structure Determination

description: Related Article: Sadananda Kumbhakar, Parth Gupta, Bishnubasu Giri, Arabinda Muley, Kalai Selvan Karumban, Ashish Misra, Somnath Maji|2022|J.Mol.Struct.|1265|133419|doi:10.1016/j.molstruc.2022.133419
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.cc28q0vw
title: CCDC 2106538: Experimental Crystal Structure Determination

description: Related Article: Sadananda Kumbhakar, Parth Gupta, Bishnubasu Giri, Arabinda Muley, Kalai Selvan Karumban, Ashish Misra, Somnath Maji|2022|J.Mol.Struct.|1265|133419|doi:10.1016/j.molstruc.2022.133419
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.cc28q0wx
title: CCDC 2106539: Experimental Crystal Structure Determination

description: Related Article: Sadananda Kumbhakar, Parth Gupta, Bishnubasu Giri, Arabinda Muley, Kalai Selvan Karumban, Ashish Misra, Somnath Maji|2022|J.Mol.Struct.|1265|133419|doi:10.1016/j.molstruc.2022.133419
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.cc28q0xy
title: CCDC 2106540: Experimental Crystal Structure Determination

description: Related Article: Sadananda Kumbhakar, Parth Gupta, Bishnubasu Giri, Arabinda Muley, Kalai Selvan Karumban, Ashish Misra, Somnath Maji|2022|J.Mol.Struct.|1265|133419|doi:10.1016/j.molstruc.2022.133419
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: 10.7284/145817
title: GNSS (Global Navigation Satellite System) data collected during research cruise NBP0603 using a Furuno GP-330B instrument system onboard the platform RV Nathaniel B. Palmer

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/145812
title: Gyrocompass data collected during research cruise NBP0603 using a Yokogawa CMZ700B instrument system onboard the platform RV Nathaniel B. Palmer

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/145813
title: INS (Inertial Navigation System) data collected during research cruise NBP0603 using a Kongsberg Seapath 200 instrument system onboard the platform RV Nathaniel B. Palmer

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/145807
title: Multibeam Echosounder data collected during research cruise NBP0603 using a Kongsberg EM122 instrument system onboard the platform RV Nathaniel B. Palmer

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.5517/ccdc.csd.cc298sv7
title: CCDC 2123619: Experimental Crystal Structure Determination

description: Related Article: Rafał Petrus, Tadeusz Lis, Adrian Kowaliński|2022|Dalton Trans.|51|9144|doi:10.1039/D2DT00731B
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: 10.5281/zenodo.6646470
title: A benchmark study of ab initio gene prediction methods in diverse eukaryotic organisms

description: G3PO (Gene and Protein Prediction PrOgrams) Benchmark was designed to represent many of the typical challenges faced by current genome annotation projects. The benchmark is based on a carefully validated and curated set of real eukaryotic genes from 147 phylogenetically disperse organisms (from human to protists). <br>
DOI: 10.5281/zenodo.4081639
title: A benchmark study of ab initio gene prediction methods in diverse eukaryotic organisms

description: G3PO (Gene and Protein Prediction PrOgrams) Benchmark was designed to represent many of the typical challenges faced by current genome annotation projects. The benchmark is based on a carefully validated and curated set of real eukaryotic genes from 147 phylogenetically disperse organisms (from human to protists). <br>
DOI: 10.25824/redu/oramif
title: 02.mp4
DOI: 10.25824/redu/gmzjg1
title: 05.mp4
DOI: 10.25824/redu/a7z1el
title: 03.mp4
DOI: 10.25824/redu/hzg0um
title: 06.mp4
DOI: 10.25824/redu/fxfavh
title: 04.mp4
DOI: 10.25824/redu/isefqy
title: 07.mp4
DOI: 10.25824/redu/6hxqyt
title: 01.mp4
DOI: 10.25824/redu/x9h4sx
title: 08.mp4
DOI: 10.25824/redu/oh5bn3
title: 09.mp4
DOI: 10.25824/redu/wmfqd8
title: 10.mp4
DOI: 10.25824/redu/tdlzlu
title: 11.mp4
DOI: 10.25824/redu/jugwp3
title: 13.mp4
DOI: 10.25824/redu/rwo1wo
title: 14.mp4
DOI: 10.25824/redu/j1avor
title: 15.mp4
DOI: 10.25824/redu/bnxuiu
title: 16.mp4
DOI: 10.25824/redu/btm5cg
title: 17.mp4
DOI: 10.25824/redu/2ya7bu
title: 18.mp4
DOI: 10.25824/redu/v3yftq
title: 19.mp4
DOI: 10.25824/redu/3tokoe
title: 20.mp4
DOI: 10.5281/zenodo.6637598
title: Tallo database

description: The <strong>Tallo database</strong> (v1.0.0) is a collection of 498,838 georeferenced and taxonomically standardized records of individual trees for which stem diameter, height and/or crown radius have been measured. Data were compiled from 61,856 globally distributed sites and include measurements for 5,163 tree species. For a full description of the database, see: <strong>Jucker <em>et al</em>. (2022) Tallo </strong>–<strong> a global tree allometry and crown architecture database. Global Change Biology, https://doi.org/10.1111/gcb.16302</strong>. If using the Tallo database in your work please cite the original publication listed above, as well as this repository using the corresponding DOI (10.5281/zenodo.6637599).
DOI: 10.25824/redu/pbo9v1
title: 21.mp4
DOI: 10.25824/redu/zgdasa
title: 22.mp4
DOI: 10.25824/redu/rdxpe5
title: 23.mp4
DOI: 10.25824/redu/y7ljvr
title: 24.mp4
DOI: 10.25824/redu/nrimgs
title: 25.mp4
DOI: 10.25824/redu/vwjhhr
title: 26.mp4
DOI: 10.25824/redu/yapibe
title: 27.mp4
DOI: 10.25824/redu/iagjt8
title: 28.mp4
DOI: 10.25824/redu/0ugaxk
title: 29.mp4
DOI: 10.25824/redu/7crt0h
title: 30.mp4
DOI: 10.25824/redu/batiup
title: 30b.mp4
DOI: 10.25824/redu/dfvsiw
title: 30c.mp4
DOI: 10.25824/redu/nrj5jj
title: 31.mp4
DOI: 10.25824/redu/hrhigc
title: 32.mp4
DOI: 10.25824/redu/mkyaav
title: 33.mp4
DOI: 10.25824/redu/08qb5w
title: 34.mp4
DOI: 10.25824/redu/lacp1w
title: 35.mp4
DOI: 10.25824/redu/sonssj
title: 36.mp4
DOI: 10.25824/redu/ldp2g9
title: 37.mp4
DOI: 10.25824/redu/xynyl6
title: 38.mp4
DOI: 10.25824/redu/m1wlyd
title: 39.mp4
DOI: 10.25824/redu/j84skk
title: 40.mp4
DOI: 10.25824/redu/64ifm0
title: 41.mp4
DOI: 10.25824/redu/hp7dzl
title: 42.mp4
DOI: 10.25824/redu/vutgkf
title: 43.mp4
DOI: 10.25824/redu/iqccs9
title: 44.mp4
DOI: 10.25824/redu/3cnlup
title: 45.mp4
DOI: 10.25824/redu/tohwai
title: 47.mp4
DOI: 10.25824/redu/ltrt8o
title: 48.mp4
DOI: 10.25824/redu/p5mstu
title: 49.mp4
DOI: 10.25824/redu/2it3r3
title: 50.mp4
DOI: 10.25824/redu/dxn6yr
title: 51.mp4
DOI: 10.25824/redu/hcmjwg
title: 52.mp4
DOI: 10.25824/redu/ycemqi
title: 54.mp4
DOI: 10.25824/redu/ajuapa
title: 55.mp4
DOI: 10.25824/redu/z8sltc
title: 56.mp4
DOI: 10.25824/redu/mdbmfo
title: 57.mp4
DOI: 10.25824/redu/zbwfgd
title: 58.mp4
DOI: 10.25824/redu/wrrs7x
title: 59.mp4
DOI: 10.25824/redu/dnef2g
title: 60.mp4
DOI: 10.25824/redu/hozooo
title: 61.mp4
DOI: 10.25824/redu/asge8m
title: 62.mp4
DOI: 10.25824/redu/86ymjg
title: 63.mp4
DOI: 10.25824/redu/gkrkh2
title: 64.mp4
DOI: 10.25824/redu/a9hhso
title: 65.mp4
DOI: 10.25824/redu/pd97sz
title: 66.mp4
DOI: 10.25824/redu/sqy7co
title: 67.mp4
DOI: 10.25824/redu/d85tep
title: 68.mp4
DOI: 10.25824/redu/sfiuzk
title: 69.mp4
DOI: 10.25824/redu/td6j8w
title: 70.mp4
DOI: 10.25824/redu/kibr9z
title: 71.mp4
DOI: 10.25824/redu/sjkfvu
title: 72.mp4
DOI: 10.25824/redu/xggiha
title: 73.mp4
DOI: 10.25824/redu/jgnxap
title: 74.mp4
DOI: 10.5281/zenodo.6646500
title: Data for bulk ATAC-seq normalization paper

description: This zipped file contains all public datasets used in our benchmark of bulk ATAC-seq normalization methods.
DOI: 10.25824/redu/blkybu
title: 75.mp4
DOI: 10.5281/zenodo.4441901
title: Data for bulk ATAC-seq normalization paper

description: This zipped file contains all public datasets used in our benchmark of bulk ATAC-seq normalization methods.
DOI: 10.25824/redu/bqlxbj
title: 76.mp4
DOI: 10.25824/redu/tex1v4
title: 77.mp4
DOI: 10.25824/redu/n8dia2
title: 78.mp4
DOI: 10.25824/redu/vmtwey
title: 79.mp4
DOI: 10.25824/redu/6sshxg
title: 80.mp4
DOI: 10.25824/redu/ynl0u2
title: 81.mp4
DOI: 10.25824/redu/uq3i3r
title: 82.mp4
DOI: 10.25824/redu/4ch6lt
title: 83.mp4
DOI: 10.25824/redu/nzm8dm
title: 84.mp4
DOI: 10.25824/redu/gxm1wc
title: 85.mp4
DOI: 10.25824/redu/pwvcb3
title: 86.mp4
DOI: 10.25824/redu/q0uivx
title: 87.mp4
DOI: 10.25824/redu/jvlvwe
title: 88.mp4
DOI: 10.25824/redu/skcmws
title: 89.mp4
DOI: 10.25824/redu/ciyuuo
title: 90.mp4
DOI: 10.25824/redu/3sknvh
title: 91.mp4
DOI: 10.25824/redu/pzqnxv
title: 92.mp4
DOI: 10.25824/redu/vtzxua
title: 93.mp4
DOI: 10.25824/redu/ym4bxc
title: 94.mp4
DOI: 10.25824/redu/42i9fl
title: 95.mp4
DOI: 10.25824/redu/7sd1rc
title: 96.mp4
DOI: 10.25824/redu/jh6lii
title: 97.mp4
DOI: 10.7488/c47dfff5-c3f8-444f-bbf5-9e5499e835d9
title: Click-East: Parent-child Play and ADOS from a pilot RCT

description: This DataVault item contains video data collected as part of the Click-East clinical trial. The videos for each prticipant are: a) Autism Diagnostic Observation Schedule (ADOS) b) parent-child play c) other footage from the data collection session, which may include Mullen Scales of Early Learning and other measures The dataset includes data from the baseline and outcome timepoints from the trial, which are distinguished by a letter code. The folder also includes related documentation from the Click-East trial including compiled datasets for analysis and ethics and recruitment documents.
description: This is the abstract from the main publication from the Click-East pilot trial: This study evaluated a technology-based early intervention for social communication skills in pre-schoolers in a randomised controlled trial. Participants were 54 children aged under 6 years with a diagnosis of autism, assigned to either intervention or control conditions. The app engaged children, who played consistently, regardless of developmental level, and was rated highly by parents. There were no significant group differences in parent-report measures post-intervention, nor in a measure of parent–child play at follow-up. Therefore, this intervention did not have an observable impact on real-world social communication skills and caution is recommended about the potential usefulness of iPad™ apps for amelioration of difficulties in interaction. However, positive attitudes among participants, lack of harms and the potential of apps to deliver therapeutic content at low economic cost suggest this approach is worth pursuing further, perhaps targeting other skill domains.
description: Fletcher-Watson, S., (2019). Click-East: Parent-child Play and ADOS from a pilot RCT. Edinburgh DataVault.
DOI: 10.25824/redu/yo2i1t
title: 98.mp4
DOI: 10.25824/redu/ccicof
title: 99.mp4
DOI: 10.25824/redu/2y5cfm
title: 100.mp4
DOI: 10.25824/redu/imub7g
title: 101 bloopers.mp4
DOI: 10.25824/redu/bg4vhi
title: 53.mp4
DOI: 10.25824/redu/ehheki
title: #100daysofpractice :

description: These are the guitar practice videos that were part of the data analyzed in the article "#100daysofpractice: selection and adaptation of Self-Regulated Learning strategies in an online music performance challenge"
DOI: 10.5281/zenodo.6646463
title: Octopus mimus SPAdes preassembly

description: .
DOI: 10.5281/zenodo.6646462
title: Octopus mimus SPAdes preassembly

description: .
DOI: 10.7488/e45894fd-10b1-4261-89d1-f6735673f964
title: CITE-Seq Mouse Lung Macrophages

description: Data Generated by: Christopher Lucas and Naomi Gachanja Funder: Wellcome Project: Macrophage-epithelial communication promotes lung repair after injury Data Manager: Christopher Lucas Flow sorted lung macrophages (CD45+/CD64+/MerTK+ cells) from D4 corn oil (vehicle/naive) or D4 Naphthalene (160mg/kg). Cells surface stained for CITESeq antibodies: MHCII CD163 CCR2 SiglecF CD38 Cx3Cr1 IL10R CD169 CD206 and then proceeded to 10x. Sequenced by Genetics team, Edinburgh Clinical Research Facility on a NextSeq2k platform. ## Access ## This dataset is held in the Edinburgh DataVault, directly accessible only to authorised University of Edinburgh staff. External users may request access to a copy of the data by contacting the Principal Investigator, Contact Person or Data Manager named on this page. University of Edinburgh users who wish to have direct access should consult the information about retrieving data from the DataVault at: https://www.ed.ac.uk/is/research-support/datavault .
DOI: 10.6084/m9.figshare.20073167
title: Untitled Item

description: Pancreatic neuroendocrine tumors (pNET) and solid pseudopapillary tumors (SPT) are two of the most common pancreatic neoplasms. However, the broad heterogeneity of pNET and SPT in clinical manifestations and radiological features often confuse the presurgical discrimination in clinical practice From March 2006 to January 2021, all patients with pathologically confirmed non-functional pNEN or SPT in our hospital were retrospectively reviewed. 354 cases of pNET and 277 cases of SPT were enrolled in our cohort. Clinical presentation, including age, sex, clinical symptoms, tumor location and size, were collected from electronic medical records and pathologic results. Multimodality imaging including contrast-enhanced CT, MRI, EUS and nuclear medicine image, were performed as previous described and recollected through electronic medical systems (Cheng et al., 2019; Li et al., 2019; Hong et al., 2020; Zhang et al., 2020).
DOI: 10.6084/m9.figshare.20073167.v1
title: Untitled Item

description: Pancreatic neuroendocrine tumors (pNET) and solid pseudopapillary tumors (SPT) are two of the most common pancreatic neoplasms. However, the broad heterogeneity of pNET and SPT in clinical manifestations and radiological features often confuse the presurgical discrimination in clinical practice From March 2006 to January 2021, all patients with pathologically confirmed non-functional pNEN or SPT in our hospital were retrospectively reviewed. 354 cases of pNET and 277 cases of SPT were enrolled in our cohort. Clinical presentation, including age, sex, clinical symptoms, tumor location and size, were collected from electronic medical records and pathologic results. Multimodality imaging including contrast-enhanced CT, MRI, EUS and nuclear medicine image, were performed as previous described and recollected through electronic medical systems (Cheng et al., 2019; Li et al., 2019; Hong et al., 2020; Zhang et al., 2020).
DOI: 10.5281/zenodo.6646280
title: Meteor wind data (zonal and meridional)

description: SuperDARN meteor wind data, based on https://doi.org/10.20383/102.0558 *.m.* - meridional *.z.* - zonal X/Y are in radar coordinates - most users can disregard. Supported by NSF #1934973 Collaborative Research: Super Dual Auroral Radar Network (SuperDARN) Operations, Research and Community Support SuperDARN is an international collaboration operating high frequency (HF) radars deployed in the northern and southern hemispheres to measure ionospheric plasma circulation. Each partner institution secures funding and manages operations for their own facilities. The continued availability of SuperDARN data depends on the proper acknowledgment of data by its users. Guidelines for data acknowledgment are as follows: When data from an individual radar or radars are used, users must contact the principal investigator(s) of those radar(s) to obtain the appropriate acknowledgement information and to offer collaboration, where appropriate. Contact information is available in the README file for this collection. For all usage of SuperDARN data, users are asked to include the following standard acknowledgment text: “The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.” While SuperDARN has an open data use policy, i.e., prior permission to access and analyse the data is not required, the data user is strongly encouraged to establish early contact with any Principal Investigator whose data are involved in the project to discuss the intended usage and collaboration. Data can be subject to limitations that are not immediately evident to users. In addition, some data are embargoed for use by designated Principal Investigators for a period of one year. SuperDARN and the organizations that contributed data must be acknowledged in all reports and publications that use SuperDARN data. The SuperDARN Executive Council (see list in the README) must be notified before data are redistributed through another database. The data are not to be used for commercial purposes. If you have any questions about appropriate use of these data, contact any SuperDARN Principal Investigator.
DOI: 10.34740/kaggle/ds/2269497
title: PCB-AoI
DOI: 10.5281/zenodo.6646279
title: Meteor wind data (zonal and meridional)

description: SuperDARN meteor wind data, based on https://doi.org/10.20383/102.0558 *.m.* - meridional *.z.* - zonal X/Y are in radar coordinates - most users can disregard. Supported by NSF #1934973 Collaborative Research: Super Dual Auroral Radar Network (SuperDARN) Operations, Research and Community Support SuperDARN is an international collaboration operating high frequency (HF) radars deployed in the northern and southern hemispheres to measure ionospheric plasma circulation. Each partner institution secures funding and manages operations for their own facilities. The continued availability of SuperDARN data depends on the proper acknowledgment of data by its users. Guidelines for data acknowledgment are as follows: When data from an individual radar or radars are used, users must contact the principal investigator(s) of those radar(s) to obtain the appropriate acknowledgement information and to offer collaboration, where appropriate. Contact information is available in the README file for this collection. For all usage of SuperDARN data, users are asked to include the following standard acknowledgment text: “The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.” While SuperDARN has an open data use policy, i.e., prior permission to access and analyse the data is not required, the data user is strongly encouraged to establish early contact with any Principal Investigator whose data are involved in the project to discuss the intended usage and collaboration. Data can be subject to limitations that are not immediately evident to users. In addition, some data are embargoed for use by designated Principal Investigators for a period of one year. SuperDARN and the organizations that contributed data must be acknowledged in all reports and publications that use SuperDARN data. The SuperDARN Executive Council (see list in the README) must be notified before data are redistributed through another database. The data are not to be used for commercial purposes. If you have any questions about appropriate use of these data, contact any SuperDARN Principal Investigator.
DOI: 10.5281/zenodo.6646548
title: Documentos digitalizados

description: Documentos digitalizados/restaurados. Folha de jornal, livro e um documento oficial.
DOI: 10.5281/zenodo.6646547
title: Documentos digitalizados

description: Documentos digitalizados/restaurados. Folha de jornal, livro e um documento oficial.
DOI: 10.7488/36997bd6-42cc-4e03-881b-17f56d36d129
title: Profiling the Immune Epigenome across Global Cattle Breeds

description: ATAC-seq, RRBS, WGBS, RNA-seq, and WGS of immune cells from global cattle breeds. ## Access ## This dataset is held in the Edinburgh DataVault, directly accessible only to authorised University of Edinburgh staff.
description: We have generated assay for transposase-accessible chromatin using sequencing (ATAC-seq) and reduced representation bisulfite sequencing (RRBS) datasets for seven immune cell types across three diverse cattle breeds. Holstein Friesian, N’Dama and Nelore cattle were selected to represent the European taurine, African taurine and indicine cattle lineages, respectively. Gene expression data for six immune cell types from Holstein Friesian cattle and three cell types from Nelore cattle have also been generated. Additionally, whole genome bisulfite sequencing (WGBS) data were generated for two Holstein Friesian monocyte samples to compare with the RRBS datasets. To test the accuracy of digital cytometry methods to deconvolute mixed immune cell populations based on their methylation profiles we generated in vivo cellular mixtures and red blood cell lysed blood samples that were analysed by RRBS. Finally, we performed whole genome sequencing of each of the animals.
DOI: 10.25824/redu/vtzcez
title: JP282661-Supplement.pdf

description: Supplementary material
DOI: 10.25824/redu/lis5po
title: JP282661-Statistical Summary.xlsx

description: Statistical summary