cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17909/y0wa-4b44
title: Data from "UV cooling via O VI emission in the superwind of M82 observed with FUSE"

description: Data used in "UV cooling via O VI emission in the superwind of M82 observed with FUSE" by Kim et al.
DOI: 10.5281/zenodo.10680441
title: Vriant call files; sequencing TP53 in corticotroph pituitary tumors using Ion AmpliSeq TP53 Panel

description: Variant call files were used for the anylysis of TP53 coding sequence in 128 corticotroph tumor samples as described in article Relevance of mutations inprotein deubiquitinases genes and TP53 in corticotroph pituitary tumors; DOI 10.3389/fendo.2024.1302667

The TP53 gene was sequenced by NGS using Ion Torrent technology. For this purpose, a pre-designed panel Ion AmpliSeq TP53 Panel (TP53.20140108, Ion AmpliSeq Community Panel) covering the entire protein-coding sequence of TP53 and exonintron boundaries was selected by the online tool Ion Ampliseq Designer (Thermo Fisher Scientific). 

Sample concentrations were measured using Qubit 2.0 Fluorometer (Life Technologies) with the dsDNA HS Assay Kit. Next, according to the manufacturer’s instructions, gene libraries were prepared using Ion AmpliSeq™ Library Kit Plus (Thermo Fisher Scientific) and the primers. Sequencing was performed using Ion GeneStudio™ S5 Prime System (Thermo Fisher Scientific).

Variant calling was performed using Ion Torrent Server software (Torrent Suite version 5.12.3)
DOI: 10.5281/zenodo.10680442
title: Vriant call files; sequencing TP53 in corticotroph pituitary tumors using Ion AmpliSeq TP53 Panel

description: Variant call files were used for the anylysis of TP53 coding sequence in 128 corticotroph tumor samples as described in article Relevance of mutations inprotein deubiquitinases genes and TP53 in corticotroph pituitary tumors; DOI 10.3389/fendo.2024.1302667

The TP53 gene was sequenced by NGS using Ion Torrent technology. For this purpose, a pre-designed panel Ion AmpliSeq TP53 Panel (TP53.20140108, Ion AmpliSeq Community Panel) covering the entire protein-coding sequence of TP53 and exonintron boundaries was selected by the online tool Ion Ampliseq Designer (Thermo Fisher Scientific). 

Sample concentrations were measured using Qubit 2.0 Fluorometer (Life Technologies) with the dsDNA HS Assay Kit. Next, according to the manufacturer’s instructions, gene libraries were prepared using Ion AmpliSeq™ Library Kit Plus (Thermo Fisher Scientific) and the primers. Sequencing was performed using Ion GeneStudio™ S5 Prime System (Thermo Fisher Scientific).

Variant calling was performed using Ion Torrent Server software (Torrent Suite version 5.12.3)
DOI: 10.5517/ccdc.csd.cc2g6nhv
title: CCDC 2270517: Experimental Crystal Structure Determination

description: Related Article: Zhen Peng, Jianyu Zhang, Na Feng, Jing Zhang, Sheng Hua Liu|2024|Spectrochim.Acta,Part A|311|123979|doi:10.1016/j.saa.2024.123979
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.10602771
title: Training data for Introduction to sequencing with Python

description: Example datasets
DOI: 10.5281/zenodo.10602772
title: Training data for Introduction to sequencing with Python

description: Example datasets
DOI: 10.5281/zenodo.10680001
title: Training data for Introduction to sequencing with Python

description: Example datasets
DOI: 10.5281/zenodo.10680249
title: Training data for Introduction to sequencing with Python

description: Example datasets
DOI: 10.5281/zenodo.10680470
title: Training data for Introduction to sequencing with Python

description: Example datasets
DOI: 10.5281/zenodo.10680776
title: Training data for Introduction to sequencing with Python

description: Example datasets
DOI: 10.5281/zenodo.10680774
title: Invertebrates raw data
DOI: 10.5281/zenodo.10680775
title: Invertebrates raw data
DOI: 10.5519/qd.jjfeiugl
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (321 records)
DOI: 10.6073/pasta/b3d7a2405f44164506ecf8d06940fac1
title: Quantitative and qualitative aspects of dissolved organic carbon leached from plant biomass in Taylor Slough, Shark River and Florida Bay (FCE) for samples collected in July 2004

description: Plant biomass was collected from Taylor Slough, Shark River and Florida Bay in Everglades National Park. Samples were taken to the lab and incubated with Milli-Q water in the dark for a period of 36 days. NaN3 was added to half the bottles to test the role of microbial activity on the leaching rates and composition of leachate. Every three days the water was decanted and replaced with fresh Milli-Q water. The decanted samples were filtered and analyzed for DOC concentration, sugar content, and total phenol content.
DOI: 10.5281/zenodo.10651121
title: Dataset of mobile phone contributions to remotely detect static events

description: This dataset contains several observations provided by several contributors and was used to test the methodology proposed in a research paper that is currently under review, and will be disclosed here as soon as it is published.

The structure is as follows:



ID: Observation ID

User Phone: Identifier for the phone of the user reporting the observation

Date and Hour: Date and time when the observation was collected

Source Location: Coordinates of the location where the observation was collected

Target Location Direction: Direction measured towards the target location

Shadow Direction: Direction measured towards the user's shadow

Target Location: Name of the target location
DOI: 10.5281/zenodo.10651122
title: Dataset of mobile phone contributions to remotely detect static events

description: This dataset contains several observations provided by several contributors and was used to test the methodology proposed in a research paper that is currently under review, and will be disclosed here as soon as it is published.

The structure is as follows:



ID: Observation ID

User Phone: Identifier for the phone of the user reporting the observation

Date and Hour: Date and time when the observation was collected

Source Location: Coordinates of the location where the observation was collected

Target Location Direction: Direction measured towards the target location

Shadow Direction: Direction measured towards the user's shadow

Target Location: Name of the target location
DOI: 10.6084/m9.figshare.25245847
title: TACC1.RARg.RARg.veh.bw

description: CUT&RUN for RARgamma in 22Rv1 cells with stable expression of RARgamma and TACC1 and treated with vehicle
DOI: 10.6084/m9.figshare.25245847.v1
title: TACC1.RARg.RARg.veh.bw

description: CUT&RUN for RARgamma in 22Rv1 cells with stable expression of RARgamma and TACC1 and treated with vehicle
DOI: 10.6084/m9.figshare.25245889
title: TACC1.RARg.AR.veh.bw

description: CUT&RUN for AR in 22Rv1 cells stably expressing RARgamma and TACC1 and treated with vehicle
DOI: 10.6084/m9.figshare.25245889.v1
title: TACC1.RARg.AR.veh.bw

description: CUT&RUN for AR in 22Rv1 cells stably expressing RARgamma and TACC1 and treated with vehicle
DOI: 10.7910/dvn/r2fep4
title: Replication Data for: Marriage Certificates of General Hari Seldon and his polygyny family wives are Natty, Natalia, Maria, Elechka, Ivy, Avo, Isra, Ketrin, Kristina, Julia, Avemaria, Selesta, Aleyna, Oksi, Anastasia and Anoli, and pictures

description: This dataset contains 16 numbers of Marriage Certificates of polygyny familyman General Hari Seldon and his 16 wives are Natty Seldon, Natalia Seldon, Maria Seldon, Elechka Seldon, Ivy Seldon, Avo Seldon, Isra Seldon, Ketrin Seldon, Kristina Seldon, Julia Seldon, Avemaria Seldon, Selesta Seldon, Aleyna Seldon, Oksi Seldon, Anastasia Seldon and Anoli Seldon. Their weddings were conducted at the Prixton Church & University in 2021, 2022 and 2023. The Prixton Church & University issued certificates of the marriages were signed by Reverend Rob Ospand, marriage certification officiant, Prixton Church & University. Hari Seldon and his wives maintain a Polygyny Family Sub-mission in Christ Mission whose full title is Sovereign Order of Royal El Roman Intro-angeles (polygyny) Family Sub-mission of the Jesus Christ' Holy See Teachings on His Kingdoms Mission. So, the Mission King, also called Mission Leader, GEN. Hari Seldon JR. (USAF), PhD, STD, DH, KofC, AFA, AUSA —AKA— State of the Union of United States of Foundation Government Peripheral Sovereign Order of His Excellency Guardian Hari Seldon's wives were called Queen(s). They have a journal publication entitled Royal Journal of the Family Sub-mission in Christ Mission. GEN. Hari Seldon is U.S. Department of Defense's Active Duty Military Employee for the United States Air Force, Postdoctoral Researcher, Holy Bible Scriptures Analyst, Journalist, Editor, Writer and Epic Tales Poet. A copy of the picture to each & everyone of the polygyny family is included along with the replication dataset profile.
DOI: 10.6084/m9.figshare.25245952
title: train_qm9_qtaim_1205_labelled_corrected.pkl

description: train qm9 dataset
DOI: 10.6084/m9.figshare.25245952.v1
title: train_qm9_qtaim_1205_labelled_corrected.pkl

description: train qm9 dataset
DOI: 10.6084/m9.figshare.25245916
title: train_tox21_qtaim_1205_labelled.pkl

description: train tox21 dataset
DOI: 10.6084/m9.figshare.25245958
title: train_qm8_qtaim_1205_labelled.pkl

description: train qm8 dataset
DOI: 10.6084/m9.figshare.25245958.v1
title: train_qm8_qtaim_1205_labelled.pkl

description: train qm8 dataset
DOI: 10.6084/m9.figshare.25245946
title: test_qm9_qtaim_1205_labelled_corrected.pkl

description: test qm9 dataset
DOI: 10.6084/m9.figshare.25245913
title: test_ccsdtf_121423_qtaim.json

description: test grambow 2022 dataset
DOI: 10.6084/m9.figshare.25245913.v1
title: test_ccsdtf_121423_qtaim.json

description: test grambow 2022 dataset
DOI: 10.6084/m9.figshare.25245919
title: train_libe_qtaim_1205_labelled_corrected.pkl

description: train LIBE dataset
DOI: 10.6084/m9.figshare.25245919.v1
title: train_libe_qtaim_1205_labelled_corrected.pkl

description: train LIBE dataset
DOI: 10.6084/m9.figshare.25245922
title: test_libe_1205_large_corrected.pkl

description: test libe dataset
DOI: 10.6084/m9.figshare.25245922.v1
title: test_libe_1205_large_corrected.pkl

description: test libe dataset
DOI: 10.6073/pasta/fa704066a4e46675033f1ed13cc40268
title: Chemical characteristics of dissolved organic matter in an oligotrophic subtropical wetland/estuary ecosystem, Everglades National Park (FCE), South Florida from December 2001 to January 2002

description: The objective of this study was to investigate in detail the molecular characteristics of DOM in a sub-tropical, oligotrophic aquatic environment, namely the Florida coastal Everglades, along a freshwater wetland, mangrove fringe to estuarine transect. For this purpose, surface waters from five sites along Taylor Slough ranging from freshwater marsh to mangrove ecotone environments, as well as three sites within the Florida Bay estuary were collected for analyses. Fluorescence properties of DOM were measured for a quick assessment of DOM quality. Ultrafiltered DOM samples (UDOM; less than 0.7 um, greater than 1000 Da) were concentrated and freeze dried for the determination of bulk C composition, lignin-phenol concentration, and neutral sugar composition. These molecular characteristics were investigated by 13C-NMR spectroscopy, TMAH thermochemolysis, and hydrolysis with trifluoroacetic acid (TFA), respectively. Furthermore, UDOM samples were classified by cluster analysis based on their pyrolysis products obtained via flash pyrolysis-GC/MS.
DOI: 10.6084/m9.figshare.25245961
title: test_qm8_qtaim_1205_labelled.pkl

description: test qm8 dataset
DOI: 10.6084/m9.figshare.25245961.v1
title: test_qm8_qtaim_1205_labelled.pkl

description: test qm8 dataset
DOI: 10.6084/m9.figshare.25245940
title: test_tox21_qtaim_1205_labelled.pkl

description: test tox21 dataset
DOI: 10.6084/m9.figshare.25245940.v1
title: test_tox21_qtaim_1205_labelled.pkl

description: test tox21 dataset
DOI: 10.6084/m9.figshare.25245910.v1
title: train_ccsdtf_121423_qtaim.json

description: train grambow 2022 dataset
DOI: 10.6084/m9.figshare.25245910
title: train_ccsdtf_121423_qtaim.json

description: train grambow 2022 dataset
DOI: 10.6084/m9.figshare.25245943
title: TACC1.RARg.RARg.CD437.bw

description: CUT&RUN for RARgamma in 22Rv1 cells stably expressing RARgamma and TACC1 and treated with CD437 (400nM, 6h)
DOI: 10.6084/m9.figshare.25245943.v1
title: TACC1.RARg.RARg.CD437.bw

description: CUT&RUN for RARgamma in 22Rv1 cells stably expressing RARgamma and TACC1 and treated with CD437 (400nM, 6h)
DOI: 10.5281/zenodo.10680894
title: OpenFF POPC Simulation w/ sd integrator

description: Pure 128 POPC lipid, fully hydrated bilayer parameterized by OpenFF Interchange. MD simulation performed using an sd integrator.
DOI: 10.5281/zenodo.10680895
title: OpenFF POPC Simulation w/ sd integrator

description: Pure 128 POPC lipid, fully hydrated bilayer parameterized by OpenFF Interchange. MD simulation performed using an sd integrator.
DOI: 10.34740/kaggle/dsv/7658581
title: Forex Exchange Rates Since 2004 (Updated Daily)
DOI: 10.6084/m9.figshare.25245982
title: Emotional Education in the Development of Socio-Emotional Competencies of University Teachers (Data)

description: The provided data correspond to the study titled "Emotional Education in the Development of Socio-Emotional Competencies of University Teachers."<br>
DOI: 10.6084/m9.figshare.25245982.v1
title: Emotional Education in the Development of Socio-Emotional Competencies of University Teachers (Data)

description: The provided data correspond to the study titled "Emotional Education in the Development of Socio-Emotional Competencies of University Teachers."<br>
DOI: 10.34740/kaggle/dsv/7658595
title: Top Spotify Songs in 73 Countries (Daily Updated)
DOI: 10.5281/zenodo.10680896
title: Introduction to Data for Green Solutions at the Neighborhood Scale Insights from Østerbro and Nordhavn in Copenhagen

description: End-user contributors: Professor Christopher Raymond, Dr. Ian Mell, Tine Ane Nielsen, Dr. Cecil Konijnendijk, Simon Kjær Hansen, Associate Professor Rebecca L. Rutt, Oliver Maxwell, Anna Esbjørn, Sanne Maj Andersen, Susanne Egelund.

Project Contact: Natalie Marie Gulsrud, nagu@ign.ku.dk and Megan Maurer, megm@ign.ku.dk









How can data assist planners with greenspace planning now and moving forward? We asked a representative sample of residents in the Copenhagen neighborhoods of Østerbro and Nordhavn to digitally map their best and least liked green spaces and to share their visions for future green space development in the up and coming neighborhood of Nordhavn. This is an introduction to a data set collected in December 2022 - February 2023 which provides a unique opportunity for generating a baseline understanding of resident preferences for green space use and planning. Additionally, the data points towards critical challenges and opportunities for solutions to urban green transitions.
DOI: 10.5281/zenodo.10680897
title: Introduction to Data for Green Solutions at the Neighborhood Scale Insights from Østerbro and Nordhavn in Copenhagen

description: End-user contributors: Professor Christopher Raymond, Dr. Ian Mell, Tine Ane Nielsen, Dr. Cecil Konijnendijk, Simon Kjær Hansen, Associate Professor Rebecca L. Rutt, Oliver Maxwell, Anna Esbjørn, Sanne Maj Andersen, Susanne Egelund.

Project Contact: Natalie Marie Gulsrud, nagu@ign.ku.dk and Megan Maurer, megm@ign.ku.dk









How can data assist planners with greenspace planning now and moving forward? We asked a representative sample of residents in the Copenhagen neighborhoods of Østerbro and Nordhavn to digitally map their best and least liked green spaces and to share their visions for future green space development in the up and coming neighborhood of Nordhavn. This is an introduction to a data set collected in December 2022 - February 2023 which provides a unique opportunity for generating a baseline understanding of resident preferences for green space use and planning. Additionally, the data points towards critical challenges and opportunities for solutions to urban green transitions.
DOI: 10.34740/kaggle/dsv/7658609
title: Balochi Language to English Translation Dataset
DOI: 10.34740/kaggle/dsv/7658606
title: Full TMDB Movies Dataset 2024 (985K Movies)
DOI: 10.5281/zenodo.10396528
title: International Non-native Hemiptera Establishment Data

description: These data list individual non-native Hemiptera species established in 12 regions around the globe: Australia, Chile, Europe (including its major islands and the European part of Russia), the Galapagos Archipelago, the Hawaiian Archipelago,  Japan (excluding outlying islands), New Zealand, Okinawa (Nansei Islands), North America (Canada, continental USA), the Ogasawara Islands (also known as Bonin Islands, Japan), South Africa, and South Korea. Family, superfamily and the year of initial discovery in each region where it is present are included for records when these data are available.

This dataset was assembled from various sources by an interdisciplinary scientific working group funded by the National Socio-Environmental Synthesis Center - see https://www.sesync.org/project/propose-a-pursuit/global-socioeconomic-drivers-of-insect-invasions. Most of the records here are also included in Turner, R., Blake, R., & Liebhold, A. M. (2021). International Non-native Insect Establishment Data (0.1) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.5245302. Also, see the main source references in the References metadata section for this publication.

Data have been cleaned of most typographic and taxonomic errors using the code in the R package insectcleanr: Initial release (DOI: 10.5281/zenodo.4555787), which is based on the Global Biodiversity Information Facility (GBIF) taxonomic backbone (GBIF Secretariat (2021). GBIF Backbone Taxonomy. Checklist dataset https://doi.org/10.15468/39omei accessed via GBIF.org on 2022-02-09, i.e. the https://doi.org/10.15468/43g7-9874 backbone).

 

DISCLAIMER:  This dataset is provisional.  Although these data have been subjected to review and the dataset is substantially complete, the authors reserve the right to revise the data pursuant to further analysis and review.  There may be remaining errors, and additions and removals of data in future updates may occur. Neither the University of Maryland, U.S. Government, Scion, nor any of their employees, contractors, or subcontractors, make any warranty, express or implied, nor assume any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, nor represent that its use would not infringe on privately owned rights.
DOI: 10.5281/zenodo.10396529
title: International Non-native Hemiptera Establishment Data

description: These data list individual non-native Hemiptera species established in 12 regions around the globe: Australia, Chile, Europe (including its major islands and the European part of Russia), the Galapagos Archipelago, the Hawaiian Archipelago,  Japan (excluding outlying islands), New Zealand, Okinawa (Nansei Islands), North America (Canada, continental USA), the Ogasawara Islands (also known as Bonin Islands, Japan), South Africa, and South Korea. Family, superfamily and the year of initial discovery in each region where it is present are included for records when these data are available. 

This dataset was assembled from various sources by an interdisciplinary scientific working group funded by the National Socio-Environmental Synthesis Center - see https://www.sesync.org/project/propose-a-pursuit/global-socioeconomic-drivers-of-insect-invasions. Most of the records here are also included in Turner, R., Blake, R., & Liebhold, A. M. (2021). International Non-native Insect Establishment Data (0.1) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.5245302. Also, see the main source references in the References metadata section for this publication.

Data have been cleaned of most typographic and taxonomic errors using the code in the R package insectcleanr: Initial release (DOI: 10.5281/zenodo.4555787), which is based on the Global Biodiversity Information Facility (GBIF) taxonomic backbone (GBIF Secretariat (2021). GBIF Backbone Taxonomy. Checklist dataset https://doi.org/10.15468/39omei accessed via GBIF.org on 2022-02-09, i.e. the https://doi.org/10.15468/43g7-9874 backbone).

 

DISCLAIMER:  This dataset is provisional.  Although these data have been subjected to review and the dataset is substantially complete, the authors reserve the right to revise the data pursuant to further analysis and review.  There may be remaining errors, and additions and removals of data in future updates may occur. Neither the University of Maryland, U.S. Government, Scion, nor any of their employees, contractors, or subcontractors, make any warranty, express or implied, nor assume any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, nor represent that its use would not infringe on privately owned rights.
DOI: 10.5281/zenodo.10680905
title: International Non-native Hemiptera Establishment Data

description: These data list individual non-native Hemiptera species established in 12 regions around the globe: Australia, Chile, Europe (including its major islands and the European part of Russia), the Galapagos Archipelago, the Hawaiian Archipelago,  Japan (excluding outlying islands), New Zealand, Okinawa (Nansei Islands), North America (Canada, continental USA), the Ogasawara Islands (also known as Bonin Islands, Japan), South Africa, and South Korea. Family, superfamily and the year of initial discovery in each region where it is present are included for records when these data are available.

This dataset was assembled from various sources by an interdisciplinary scientific working group funded by the National Socio-Environmental Synthesis Center - see https://www.sesync.org/project/propose-a-pursuit/global-socioeconomic-drivers-of-insect-invasions. Most of the records here are also included in Turner, R., Blake, R., & Liebhold, A. M. (2021). International Non-native Insect Establishment Data (0.1) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.5245302. Also, see the main source references in the References metadata section for this publication.

Data have been cleaned of most typographic and taxonomic errors using the code in the R package insectcleanr: Initial release (DOI: 10.5281/zenodo.4555787), which is based on the Global Biodiversity Information Facility (GBIF) taxonomic backbone (GBIF Secretariat (2021). GBIF Backbone Taxonomy. Checklist dataset https://doi.org/10.15468/39omei accessed via GBIF.org on 2022-02-09, i.e. the https://doi.org/10.15468/43g7-9874 backbone).

 

DISCLAIMER:  This dataset is provisional.  Although these data have been subjected to review and the dataset is substantially complete, the authors reserve the right to revise the data pursuant to further analysis and review.  There may be remaining errors, and additions and removals of data in future updates may occur. Neither the University of Maryland, U.S. Government, Scion, nor any of their employees, contractors, or subcontractors, make any warranty, express or implied, nor assume any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, nor represent that its use would not infringe on privately owned rights.