cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17876/data/2023_2
title: The K-giant XX Tri - Data used in "Robotic Astronomy: a 16-yr movie of the spotted surface of the K-giant XX Tri"

description: Sunspots are the most well-known manifestations of solar magnetic fields 
 and exhibit a range of phenomena related to the interior dynamo. Among the observables from the spatially
 resolved solar disk are the number, size, and morphology of sunspots, their growth and decay, and their migration
 in latitude and longitude. Starspots are the direct analogs of sunspots on other stars but with the big observational
 restriction that we usually can not resolve other star's surfaces. In this paper we employ an indirect imaging
 technique called Doppler imaging. Typically, only occasional snapshots of spots on stellar surfaces are obtained
 while it is well-known that spots systematically change with time and, like on the Sun, only then tell us about
 the interior dynamo and structure of the target in question. Here we present a 16-year long time series of Doppler
 images for one of the most spotted stars in the sky. Creating this unique times series was only possible thanks to
 the continuous operation of the STELLA robotic telescope on Tenerife and its high-resolution echelle spectrograph SES.
 The robot has observed the star on every available clear night since July 2006, acquiring a total of over 
 2000 high-resolution, high signal-to-noise-ratio (S/N) spectra that are used to create 99 independent Doppler images.
 We combine these images into a movie visualizing XX Tri's surface spot evolution for the past 16 years. Stellar-disk
 photocenter displacements of up to 24 μas, or ~10% of the stellar disk radius, are reconstructed for XX Tri, but do 
 not conclusively show the typical solar-like periodic behavior that could be interpreted as an activity cycle. A period
 of ~4.1 yr is retrieved only from the effective temperature time series but could not be clearly confirmed from other 
 surface tracers. It suggests a mostly chaotic, likely unperiodic, dynamo. The spot-induced stellar photocenter 
 variations pose a natural limit for astrometric exoplanet catches. The images also indicate missing (blocked) flux
 due to cool spots of up to 10% of the total flux.
DOI: 10.5281/zenodo.10048271
title: The Helicobacter pylori genome project: insights into H. pylori population structure from analysis of a worldwide collection of complete genomes

description: Helicobacter pylori, a dominant member of the gastric microbiota, shares co-evolutionary history with humans. This has led to the development of genetically distinct H. pylori subpopulations associated with the geographic origin of the host and with differential gastric disease risk. Here, we provide insights into H. pylori population structure as a part of the Helicobacter pylori Genome Project (HpGP), a multi-disciplinary initiative aimed at elucidating H. pylori pathogenesis and identifying new therapeutic targets. We collected 1,011 well-characterized clinical strains from 50 countries and generated high-quality genome sequences.
DOI: 10.6084/m9.figshare.24881565
title: <b>Positive secular trend in excess body weight in adolescents: A comparative study of 2007 and 2017/2018 data</b>

description: Dataset of the study entitled "<b>Positive secular trend in excess body weight in adolescents: A comparative study of 2007 and 2017/2018 data</b>".
DOI: 10.6084/m9.figshare.24881565.v1
title: <b>Positive secular trend in excess body weight in adolescents: A comparative study of 2007 and 2017/2018 data</b>

description: Dataset of the study entitled "<b>Positive secular trend in excess body weight in adolescents: A comparative study of 2007 and 2017/2018 data</b>".
DOI: 10.5281/zenodo.8277284
title: Air temperature and near-surface meteorology datasets on three Swiss glaciers - Extreme 2022 Summer

description: %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% GLACIER METEOROLOGICAL DATA    SWISS ALPS -2022%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%Data gathered and structured by Thomas Shaw (WSL, Switzerland (until Oct 2022)).
On and off-glacier meteorological data were gathered and analysed as part of a Marie-Curie project 'TEMPEST' (tempestglacier.com).The dataset consists of hourly low-cost AWS (Davis Vantage Pro2) and simple temperature ('T-')logger (Onset TidBitv2) sensor records on three glaciers in the Swiss Alps (Canton Valais).
The glaciers are:Haut Glacier d'Arolla (45.967°N, 7.526°E)Glacier d'Otemma (45.956°N, 7.454°E)Glacier du Corbassière (45.975°N, 7.303°E)
Data are provided in individual Excel files per glacier that contain all hourly data for the sub-period of comparison (11 August-18 September, 2022).Data are quality controlled and checked for obvious errors. Any uncertain values are set to NaN.Air temperature data at 'T-Logger' stations were corrected for heating errors using the comparison of measurements in artificially (AWS) and naturally ventilated (T-Logger) radiation shields on Arolla and Corbassiere glaciers.A multiple linear regression model was applied to estimate these differences at all T-Loggers on all glaciers as a function of incoming shortwave radiation (MeteoSwiss station-derived) and wind speed (measured at AWS).
Each Excel file contains a 'META' tab for simple metadata related to station locations (latitude 'LAT' (°), longitude 'LON' (°), elevation 'ELE' (m a.s.l.) and flowpath length 'FPL' (m)) and a 'DATA' tab for the hourly data. Suffixes to the station names in each column provide the variable measured at that site:'TA' - 2m air temperature (°C)'TA_Hi' - Maximum air temperature for timestep (°C)'TA_Lo' - Minimum air temperature for timestep (°C)'RH' - 2m relative humiditiy (%)'FF' - Wind speed (m s^-1)'FF_Hi' - Maximum wind speed for timestep (m s^-1)'FF_Lo' - Minimum wind speed for timestep (m s^-1)'DIR' - Wind direction (°)'DEW' - Dewpoint temperature (°C)'PRESS' - Air pressure (mbar)'CHILL' - Calculated wind chill temperature (°C)'Heat_idx' - Calculated heat index (°C)'THSW' - A calculated index that uses humidity and temperature like for the Heat Index, but also includes the heating effects of sunshine and the cooling effects of wind (like Wind Chill) to calculate an apparent temperature of what it "feels" like out in the shade
Wind speeds and direction measured at off-glacier sites 'OG' are for the lower off-glacier station ('OG_Low'). 
-------------------------
 
This work was funded by the EU Horizon 2020 Marie Skłodowska-Curie Actions Grant 101026058.
DOI: 10.6084/m9.figshare.24512944
title: Silene phenology fitness V3

description: We leverage an unusual long-term dataset with repeated, individual measurements of phenology and reproduction in a long-lived alpine plant. We analyze phenotypic plasticity in flowering phenology in relation to two climate drivers, snowmelt timing and growing degree days (GDD).
DOI: 10.6084/m9.figshare.24512944.v2
title: Silene phenology fitness

description: We leverage an unusual long-term dataset with repeated, individual measurements of phenology and reproduction in a long-lived alpine plant. We analyze phenotypic plasticity in flowering phenology in relation to two climate drivers, snowmelt timing and growing degree days (GDD).
DOI: 10.18739/a22z12r3z
title: White Paper summarizing the 2022 Polar Radar Science and Technology Conference, Virtual Conference, April 4-6, 2023

description: This White Paper Report was compiled from pre-conference communications with the community as well as from notes collected from all conference participants which were written in the breakout sessions during the conference. The team members above (conference organizers, committee, moderator, and additional report contributors) provided critical grammatical, organizational, and language contributions to the final report with a goal of merging comments from all conference participants into an organized summary.
DOI: 10.5281/zenodo.10413319
title: Data and code for "Wild and captive immature orang-utans differ in their non-vocal communication with others, but not with their mothers"
DOI: 10.5281/zenodo.10413320
title: Data and code for "Wild and captive immature orang-utans differ in their non-vocal communication with others, but not with their mothers"
DOI: 10.6084/m9.figshare.24881622
title: Surface roughness and cyclic fatigue resistance of a novel shaping system: an in-vitrostudy

description: The study compares two shaping systems used in endodontics in terms of cyclic fatigue resistance and surface topography change before and after their use.
DOI: 10.6084/m9.figshare.24881622.v1
title: Surface roughness and cyclic fatigue resistance of a novel shaping system: an in-vitrostudy

description: The study compares two shaping systems used in endodontics in terms of cyclic fatigue resistance and surface topography change before and after their use.
DOI: 10.5281/zenodo.10413375
title: Data for EUREGEN

description: Those are two databases. v1111_4d_1d contains 119 representative hours, v1111xx_3d_1d contains 31 representative hours. Choose one (depending on your computational power and time) and run the underlying model codes in GAMS. See MathiasMier/EUREGEN-simple: Basic model without complicated stuff (github.com) for codes and description.
DOI: 10.5281/zenodo.10413374
title: Data for EUREGEN

description: Those are two databases. v1111_4d_1d contains 119 representative hours, v1111xx_3d_1d contains 31 representative hours. Choose one (depending on your computational power and time) and run the underlying model codes in GAMS. See MathiasMier/EUREGEN-simple: Basic model without complicated stuff (github.com) for codes and description.
DOI: 10.5281/zenodo.8018837
title: Data for: Novel Quantitative Methods to Enable Multispectral Identification of High-Purity Water Ice Exposures on Mars from High Resolution Imaging Science Experiment (HiRISE) Images

description: This repository contains all the HiRISE UNFILTERED products used in the paper by Rangarajan et al. (2023) titled "Novel quantitative methods to enable multispectral identification of high-purity water ice exposures using High Resolution Imaging Science Experiment (HiRISE) images" published in Icarus.
DOI: 10.6084/m9.figshare.24881631
title: savedrecs (3).bib

description: The bibliometric dataset exported from WoS
DOI: 10.6084/m9.figshare.24881631.v1
title: savedrecs (3).bib

description: The bibliometric dataset exported from WoS
DOI: 10.5281/zenodo.10413358
title: Analyzing the Human Recommendation Community 'ifyoulikeblank' on Reddit — Auxiliary materials

description: This repository contains auxiliary materials for the iConference 2024 paper "“If I like BLANK, what else will I like?”: Analyzinga Human Recommendation Community on Reddit" by Thi Binh Minh Cao and Toine Bogers (= corresponding author)

Published in: Proceedings of the 2024 iConference, April 15--26, 2024, Changchun, China.

The paper presents the results of an analysis of /r/ifyoulikeblank, a Reddit community dedicated to requesting and providing for recommendations. This repository contains the following auxiliary materials:



The annotated sample of threads from the /r/ifyoulikeblank subreddit (annotated-dataset.xlsx). The second sheet in the Excel file explains the contents of the file.

The R code for performing the analysis described in the paper (annotation-analysis.R)

CSV file containing the genres attributed to the artists as crawled from the Spotify API (artist-spotify-genres.csv)

CSV file containing the popularity scores crawled from the Spotify API for the seed items and Spotify recommendations (recommendation-popularity.reddit-vs-spotify.csv)

CSV file containing the popularity scores crawled from the Spotify API for the Reddit  (recommendation-popularity.reddit.csv)

The stopwords file used in the textual analysis (stopwords.csv)

Excel file containing the activity data for the /r/ifyoulikeblank subreddit (subreddit-stats.xlsx)
DOI: 10.5281/zenodo.10413359
title: Analyzing the Human Recommendation Community 'ifyoulikeblank' on Reddit — Auxiliary materials

description: This repository contains auxiliary materials for the iConference 2024 paper "“If I like BLANK, what else will I like?”: Analyzinga Human Recommendation Community on Reddit" by Thi Binh Minh Cao and Toine Bogers (= corresponding author)

Published in: Proceedings of the 2024 iConference, April 15--26, 2024, Changchun, China.

The paper presents the results of an analysis of /r/ifyoulikeblank, a Reddit community dedicated to requesting and providing for recommendations. This repository contains the following auxiliary materials:



The annotated sample of threads from the /r/ifyoulikeblank subreddit (annotated-dataset.xlsx). The second sheet in the Excel file explains the contents of the file.

The R code for performing the analysis described in the paper (annotation-analysis.R)

CSV file containing the genres attributed to the artists as crawled from the Spotify API (artist-spotify-genres.csv)

CSV file containing the popularity scores crawled from the Spotify API for the seed items and Spotify recommendations (recommendation-popularity.reddit-vs-spotify.csv)

CSV file containing the popularity scores crawled from the Spotify API for the Reddit  (recommendation-popularity.reddit.csv)

The stopwords file used in the textual analysis (stopwords.csv)

Excel file containing the activity data for the /r/ifyoulikeblank subreddit (subreddit-stats.xlsx)
DOI: 10.5281/zenodo.10413423
title: Data and Code for "3D flightpaths reveal the development of spatial memory in wild hummingbirds"

description: Data and Code for "3D flightpaths reveal the development of spatial memory in wild hummingbirds"
DOI: 10.5281/zenodo.10413424
title: Data and Code for "3D flightpaths reveal the development of spatial memory in wild hummingbirds"

description: Data and Code for "3D flightpaths reveal the development of spatial memory in wild hummingbirds"
DOI: 10.5281/zenodo.10412971
title: Treechange-GBIF v1

description: This is a GBIF bulk download made in 2018 for Tree species distribution used in several projects and initially presented in Serra-Diaz, J.M., Enquist, B.J., Maitner, B. et al. Big data of tree species distributions: how big and how good?. For. Ecosyst. 4, 30 (2017). https://doi.org/10.1186/s40663-017-0120-0. Beware that this is the bulk GBIF download with initial labeling system presented in Serra-Diaz et al. 2017
DOI: 10.5281/zenodo.10412972
title: Treechange-GBIF v1

description: This is a GBIF bulk download made in 2018 for Tree species distribution used in several projects and initially presented in Serra-Diaz, J.M., Enquist, B.J., Maitner, B. et al. Big data of tree species distributions: how big and how good?. For. Ecosyst. 4, 30 (2017). https://doi.org/10.1186/s40663-017-0120-0. Beware that this is the bulk GBIF download with initial labeling system presented in Serra-Diaz et al. 2017
DOI: 10.18112/openneuro.ds004784.v1.0.2
title: Phantom EEG Dataset with Motion, Muscle, and Eye Artifacts and Example Scripts
DOI: 10.18112/openneuro.ds004784.v1.0.3
title: Phantom EEG Dataset with Motion, Muscle, and Eye Artifacts and Example Scripts
DOI: 10.25919/9656-6w40
title: GenCost project data

description: This repository provides data from the GenCost project. The GenCost project is a collaboration between CSIRO and AEMO, together with stakeholder input, to deliver an annual process of updating electricity generation and storage costs. Each report incorporates updated current and future cost estimates and global electricity scenarios.
DOI: 10.34740/kaggle/dsv/7250259
title: drugsin the world
DOI: 10.5281/zenodo.10413392
title: Mesures pour une pile citron - IDCS
DOI: 10.5281/zenodo.10413393
title: Mesures pour une pile citron - IDCS
DOI: 10.21227/hq9y-qb58
title: SAGE Code and Data

description: Zip includes commented Jupyter notebook with associated data files. Abstract for paper is:Autonomous materials research labs require the ability to combine and learn from diverse data streams. This is especially true for learning material synthesis-process-structure-property relationships, key to accelerating materials optimization and discovery as well as accelerating mechanistic understanding. We present the Synthesis-process-structure-property relAtionship coreGionalized lEarner (SAGE) algorithm. A fully Bayesian algorithm that uses multimodal coregionalization to merge knowledge across data sources to learn synthesis-process-structure-property relationships. SAGE outputs a probabilistic posterior including the most likely relationship given the data along with proper uncertainty quantification. Beyond autonomous systems, SAGE will allow materials researchers to unify knowledge across their lab toward making better experiment design decisions.
DOI: 10.21227/xakb-ep60
title: SAGE Code and Data

description: Zip includes commented Jupyter notebook with associated data files. Abstract for paper is:Autonomous materials research labs require the ability to combine and learn from diverse data streams. This is especially true for learning material synthesis-process-structure-property relationships, key to accelerating materials optimization and discovery as well as accelerating mechanistic understanding. We present the Synthesis-process-structure-property relAtionship coreGionalized lEarner (SAGE) algorithm. A fully Bayesian algorithm that uses multimodal coregionalization to merge knowledge across data sources to learn synthesis-process-structure-property relationships. SAGE outputs a probabilistic posterior including the most likely relationship given the data along with proper uncertainty quantification. Beyond autonomous systems, SAGE will allow materials researchers to unify knowledge across their lab toward making better experiment design decisions.
DOI: 10.5281/zenodo.10408666
title: Dataset for "Enhanced Regional Ocean Ensemble Data Assimilation Through Atmospheric Coupling in the SKRIPS Model"
DOI: 10.5281/zenodo.10408667
title: Dataset for "Enhanced Regional Ocean Ensemble Data Assimilation Through Atmospheric Coupling in the SKRIPS Model"
DOI: 10.34740/kaggle/dsv/7250304
title: Forex Exchange Rates Since 2004 (Updated Daily)
DOI: 10.34740/kaggle/dsv/7250315
title: Top Spotify Songs in 73 Countries (Daily Updated)
DOI: 10.5281/zenodo.10048270
title: The Helicobacter pylori Genome Project (HpGP) Phase1 dataset and 255 H. pylori population reference dataset

description: This repository holds the HpGP Phase 1 genomic dataset for Hp26695 and 1011 study samples. All 1012 genomic sequences were annotated using the NCBI Prokaryotic Genome Annotation Pipeline(PGAP). Also, it has 255 curated public available H. pylori genomic sequences used for population structure analysis in Thorell et al. Nature Communications, 14:8184 (2023).

You can check the NCBI BioProject website for the latest annotation and sequence updates.

https://www.ncbi.nlm.nih.gov/bioproject/?term=HpGP

Please cite the above-mentioned paper if you use the data.
DOI: 10.34740/kaggle/dsv/7250332
title: Full TMDB Movies Dataset 2023 (930K Movies)
DOI: 10.34740/kaggle/dsv/7250341
title: Trending Youtube Video Statistics (113 Countries)
DOI: 10.6084/m9.figshare.24878874
title: English language - update

description: Face videos can be used as dataset, english language speaking people, people in kinship relation
DOI: 10.6084/m9.figshare.24878874.v1
title: English language - update

description: Face videos can be used as dataset, english language speaking people, people in kinship relation
DOI: 10.5281/zenodo.10069997
title: Data and structures for "How accurately can we predict binding poses with AlphaFold models?

description: Contains structures generated by AlphaFold, models from GPCRdb, and structures of proteins from PDB. 

Additionally computed rmsds for pockets, backbone, and poses, and scripts to create figures.
DOI: 10.5281/zenodo.10069998
title: Data and structures for "How accurately can we predict binding poses with AlphaFold models?

description: Contains structures generated by AlphaFold, models from GPCRdb, and structures of proteins from PDB. 

Additionally computed rmsds for pockets, backbone, and poses, and scripts to create figures.
DOI: 10.18739/a2z60c38p
title: Indigenous Foods Knowledges Network: Place-Based Exchange between Indigenous Communities in Alaska and the U.S. Southwest (2017 - 2023)

description: The Indigenous Foods Knowledges Network (https://ifkn.org/) is a network of Indigenous and non-Indigenous researchers and community leaders from Alaska, Canada, Finland, and the U.S. Southwest. The network's focus is on exchanging knowledge about how to support Indigenous food sovereignty. The network developed a unique methodology that included reciprocity between researchers and community members and a focus on learning from the places and practices that support Indigenous food sovereignty. Between 2017 - 2023, five communities hosted IFKN network gatherings, including three in the southwest (Gila River Indian Community, Tohono O’odham, and Hopi) and two in Alaska (Chickaloon Village and Nenana). The goal of this project was to develop the network and the network's methodology for exchange; we did not collect data. We did develop and maintain a network charter and website that share some of the information about our meetings. This website will be hosted and maintained by the Cooperative Institute for Research in Environmental Sciences (CIRES) at the University of Colorado Boulder until August 31, 2024. It will then be archived at the National Snow and Ice Data Center (NSIDC) at the University of Colorado Boulder.
DOI: 10.5281/zenodo.10414051
title: Data Extraction Sheet_SLR
DOI: 10.5281/zenodo.10414052
title: Data Extraction Sheet_SLR
DOI: 10.5281/zenodo.10413853
title: DNA_train_data.tar.gz
DOI: 10.5281/zenodo.10413854
title: DNA_train_data.tar.gz
DOI: 10.26093/cds/vizier.51030267
title: Spectroscopy of hot stars in galactic halo

description: VizieR online Data Catalogue associated with article published in journal Astronomical Journal (AAS) with title 'Spectrocopy of hot stars in the galactic halo' (bibcode: 1992AJ....103..267B)
DOI: 10.26093/cds/vizier.51272738
title: ACS VI photometry of M31 halo RR Lyrae

description: VizieR online Data Catalogue associated with article published in journal Astronomical Journal (AAS) with title 'RR Lyrae stars in the Andromeda halo from deep imaging with the Advanced Camera for Surveys.' (bibcode: 2004AJ....127.2738B)
DOI: 10.26093/cds/vizier.51281606
title: Magellanic Clouds Photometric Survey: the LMC

description: VizieR online Data Catalogue associated with article published in journal Astronomical Journal (AAS) with title 'The Magellanic clouds photometric survey: the Large Magellanic Cloud stellar catalog and extinction map.' (bibcode: 2004AJ....128.1606Z)
DOI: 10.26093/cds/vizier.51402109
title: Metallicities of open clusters NGC7160 and NGC2232

description: VizieR online Data Catalogue associated with article published in journal Astronomical Journal (AAS) with title 'Metallicities of young open clusters. I. NGC 7160 and NGC 2232.' (bibcode: 2010AJ....140.2109M)
DOI: 10.26093/cds/vizier.51400500
title: Kinematics of horizontal-branch stars from SDDSS-DR7

description: VizieR online Data Catalogue associated with article published in journal Astronomical Journal (AAS) with title 'Metallicity and kinematic distributions of red horizontal-branch stars from the SDSS survey.' (bibcode: 2010AJ....140..500C)
DOI: 10.26093/cds/vizier.51470016
title: Spectroscopy of planetary nebulae in M31

description: VizieR online Data Catalogue associated with article published in journal Astronomical Journal (AAS) with title 'A search for planetary nebulae with the Sloan Digital Sky Survey: the outer regions of M31.' (bibcode: 2014AJ....147...16K)
DOI: 10.26093/cds/vizier.51590262
title: OGLE/KMTnet VI bands photometry of OGLE-2019-BLG-0551

description: VizieR online Data Catalogue associated with article published in journal Astronomical Journal (AAS) with title 'A free-floating or wide-orbit planet in the microlensing event OGLE-2019-BLG-0551.' (bibcode: 2020AJ....159..262M)