cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5285/930b782e-dfd2-4b7a-9a88-7cd03c024080
title: UCL CPOM CryoSat2 derived Dynamic Ocean Topography 2011-2021

description: The ocean surface height is constantly varying under the effects of gravity, density and the Earth's rotation. Information on the Ocean surface elevation in polar regions is available from the CryoSat2 Radar instrument. We compare ocean surface elevation to a static geoid product (GOCO03s) to give the part of the ocean surface elevation accountable due to surface currents, the Dynamic Ocean Topography (DOT). This measurement is smoothed over 100 km and gives monthly surface currents. NERC NE/R000654/1 Towards a marginal Arctic sea ice cover.
description: We take UCL CPOM processed CryoSat2 altimetry measurements of sea surface elevation, from the open ocean or from cracks within the sea ice cover. These records are from 4 satellite modes, LRM, SAR Ocean, SAR lead and SARIN lead. We take the UCL13 Mean Sea Surface product to calculate Sea Level Anomaly (SLA) for all 4 modes. We then calculate a monthly mean offset between, in order, LRM to SAR ocean, SAR ocean to SAR lead, SAR lead to SARIN lead, from coincident measurements on a 100 km resolution grid to remove mode bias' compared to the LRM mode SLA. We then use the GOCO03s geoid to calculate the dynamic ocean topography, then removing the bias from the SLA calculation. The DOT is smoothed over a 100 km Guassian kernel, with gradients to this field giving the surface monthly geostrophic currents. Data quality filtering is under taken at every step of the processing.
description: CryoSat2 LRM, SAR and SARIN mode radar altimeter.
description: This is a level 2 gridded data product that has gone under extensive data quality filtering. Individual elevation measurements are filtered to be for the specific surface type (see above). When gridding the elevation measurements we first trim off the lowest and highest 20th percentiles before calculating the mean. The gridded data product has many missing values for land points where the data is inapplicable. When smoothing the DOT surface we ignore all grid cells in the 1st and 99th precentile and leave these masked similar to a land point. These outlying cells can occur due to satellite altimeter encountering small islands not found in the land mask. As we apply bias correction to the different satellite modes we have to be careful that the satellite was operating in its standard configuration. For example some months have data points in LRM mode where we usually expect SAR mode. These tracks have to be removed. This was performed manually.
DOI: 10.5281/zenodo.6531366
title: Dermatological-diseases_Hungarian-gen.pop-database-2021_CUB

description: In February 2020, an internet-based cross-sectional survey was carried out among the general population aged 18 years or over in Hungary. The survey population was recruited from members of an online panel by a survey company using non-probability quota sampling. Sampling aimed to be representative of the Hungarian general public with respect to age, sex, education, place of living and region. Informed consent was obtained from each respondent at the beginning of the survey. The dataset contains N=2000 observations, regarding dermatology related healthstates & sociodemographic characteristics of respondents.
description: This study has been supported by the Higher Education Institutional Excellence Program of the Ministry of Innovation and Technology in the framework of the Financial and Public Services research Projects (NKFIH-1163-10/2019 and TKP2020-IKA-02)at the Corvinus University of Budapest.
DOI: 10.5281/zenodo.6531365
title: Dermatological-diseases_Hungarian-gen.pop-database-2021_CUB

description: In February 2020, an internet-based cross-sectional survey was carried out among the general population aged 18 years or over in Hungary. The survey population was recruited from members of an online panel by a survey company using non-probability quota sampling. Sampling aimed to be representative of the Hungarian general public with respect to age, sex, education, place of living and region. Informed consent was obtained from each respondent at the beginning of the survey. The dataset contains N=2000 observations, regarding dermatology related healthstates & sociodemographic characteristics of respondents.
description: This study has been supported by the Higher Education Institutional Excellence Program of the Ministry of Innovation and Technology in the framework of the Financial and Public Services research Projects (NKFIH-1163-10/2019 and TKP2020-IKA-02)at the Corvinus University of Budapest.
DOI: 10.5281/zenodo.6536306
title: Altmetric data of the documents from Web of Science with the affiliation to the Czech Republic

description: These datasets were generated for the master thesis with the title "Altmetrics and its use in the evaluation of scientific research" (in Czech "Altmetrie a její využití při hodnocení vědeckého výzkumu"), that was submitted in 2022 at the Institute Information Studies and Librarianship, Charles University, Prague, Czech Republic. There are 3 files, where the first one "Příloha_číslo_1-processed_data.xlsx" contains processed and analyzed data from the other two. "Příloha_číslo_2-data_altmetrics_Kvet_1st_download.csv" is the file with raw altmetric data downloaded on the 9/1/2022. "Příloha_číslo_3-data_altmetrics_Kvet_2st_download.csv" are the same data but downloaded two months later to see the difference. Altmetric data came from PlumX and Altmetric.com aggregators. Before publishing them here there were completely anonymized so there is no possibility to assign them to particular research papers. Dataset contains altmetric data of the research documents published in the period from 2017 to 2021. All documents have affiliation to the Czech Republic. The tool for collection and analyzation is available on Github here: https://github.com/kvetjo/Altmetrics_analyze_tool Thesis reference in Czech: KVĚT, Jonáš. <em>Altmetrie a její využití při hodnocení vědeckého výzkumu</em> [online]. Praha, 2022 [cit. 2022-05-03]. Diplomová práce. Univerzita Karlova. Filozofická fakulta. Ústav informačních studií a knihovnictví. Vedoucí práce Jan Dvořák.
DOI: 10.5281/zenodo.6435829
title: Altmetric data of the documents from Web of Science with the affiliation to the Czech Republic

description: These datasets were generated for the master thesis with the title "Altmetrics and its use in the evaluation of scientific research" (in Czech "Altmetrie a její využití při hodnocení vědeckého výzkumu"), that was submitted in 2022 at the Institute Information Studies and Librarianship, Charles University, Prague, Czech Republic. There are 3 files, where the first one "Příloha_číslo_1-processed_data.xlsx" contains processed and analyzed data from the other two. "Příloha_číslo_2-data_altmetrics_Kvet_1st_download.csv" is the file with raw altmetric data downloaded on the 9/1/2022. "Příloha_číslo_3-data_altmetrics_Kvet_2st_download.csv" are the same data but downloaded two months later to see the difference. Altmetric data came from PlumX and Altmetric.com aggregators. Before publishing them here there were completely anonymized so there is no possibility to assign them to particular research papers. Dataset contains altmetric data of the research documents published in the period from 2017 to 2021. All documents have affiliation to the Czech Republic. The tool for collection and analyzation is available on Github here: https://github.com/kvetjo/Altmetrics_analyze_tool Thesis reference in Czech: KVĚT, Jonáš. <em>Altmetrie a její využití při hodnocení vědeckého výzkumu</em> [online]. Praha, 2022 [cit. 2022-05-03]. Diplomová práce. Univerzita Karlova. Filozofická fakulta. Ústav informačních studií a knihovnictví. Vedoucí práce Jan Dvořák.
DOI: 10.25345/c5rv0d454
title: MassIVE MSV000089450 - Hopefully this is the last test dataset
title: This dataset is a test of whether or not a dataset is visible on GNPS when the GNPS prefix is not used on the title
DOI: 10.5281/zenodo.6536383
title: data for 2021JD036418

description: Data for 2021JD036418 to plot the figures.
DOI: 10.6084/m9.figshare.19719685
title: SUE model in waiting rooms database.csv

description: Database collected in waiting rooms at two Chilean medical centers. The questionnaire was built to validate the Spatial User Experience model (SUE; Juliá Nehme et al., 2020) in outpatient waiting rooms. The database includes patients' and companions' demographic information and multi-item scales representing the eight SUE dimensions: spatial cognition, physical compatibility, environmental compatibility, emotional reaction, spatial appreciation, proxemics, user experience, and behavioral response. <br> Dimensions and Items User Experience (e1-e4) Behavioral Intentions (i1-i5) Environmental Compatibility (amb1-amb7) Physical Compatibility (f1-f10) Proxemics (p1-p5) Spatial Appreciation (ap1-ap9) Spatial Cognition (or1-or7) Emotional Reaction (em1-em8) <br> <br>
DOI: 10.34740/kaggle/dsv/3611708
title: Mahanagar Yatayat Dataset
DOI: 10.5281/zenodo.6536412
title: Dataset_framing_old_and_young

description: This dataset is affliated to the journal article: Xi, W., Zhang, X., Ayalon, L., The Framing Effect of Intergenerational Comparison of Technologies on Technophobia Among Older Adults, <em>The Journals of Gerontology: Series B</em>, 2021;, gbab199, https://doi.org/10.1093/geronb/gbab199
DOI: 10.5281/zenodo.6536411
title: Dataset_framing_old_and_young

description: This dataset is affliated to the journal article: Xi, W., Zhang, X., Ayalon, L., The Framing Effect of Intergenerational Comparison of Technologies on Technophobia Among Older Adults, <em>The Journals of Gerontology: Series B</em>, 2021;, gbab199, https://doi.org/10.1093/geronb/gbab199
DOI: 10.5281/zenodo.6536350
title: Simulated Trajectories of a Furylfulgide

description: This dataset contains the results of nonadiabatic molecular dynamics simulations of the photorelaxation processes of two isomers, Eα and Eβ, of a prototypical furylfulgide. There are 75 simulated trajectories for the Eα isomer, and 50 for the Eβ isomer. The trajectories can be viewed with standard molecular editing software such as Jmol, GDIS, or VMD. Each trajectory is formatted as a standard .xyz file. The atomic coordinates are given in units of angstrom. The frames are written at intervals of 0.5 fs. Each trajectory lasts 500 fs.
DOI: 10.5281/zenodo.6536349
title: Simulated Trajectories of a Furylfulgide

description: This dataset contains the results of nonadiabatic molecular dynamics simulations of the photorelaxation processes of two isomers, Eα and Eβ, of a prototypical furylfulgide. There are 75 simulated trajectories for the Eα isomer, and 50 for the Eβ isomer. The trajectories can be viewed with standard molecular editing software such as Jmol, GDIS, or VMD. Each trajectory is formatted as a standard .xyz file. The atomic coordinates are given in units of angstrom. The frames are written at intervals of 0.5 fs. Each trajectory lasts 500 fs.
DOI: 10.5281/zenodo.5347005
title: Dataset of antiarch placoderms (the most basal jawed vertebrates) throughout Middle Paleozoic

description: This dataset is derived from the DeepBone database (www.deepbone.org), which is constructed with the support of "Big Earth Data Science Engineering (CASEarth)" in the Strategic Priority Research Program. Because no automatic method could extract the paleontological data from literature reliably, we invited researchers and students to contribute data in their research fields. This dataset, which was extracted manually from 126 published papers or books from 1939 to 2021, consists of 64 genera and 6025 records, covering all antiarch lineages. We transferred the unstructured data from the literature to structured data for further research as detailed as possible. The 6025 records include 5867 fossil specimens that had been systematically described and documented, and 158 virtual specimens, which were introduced to describe the taxon information when no specimen was assigned for the referred records. Each record has at least one reference within our dataset. This is the most comprehensive dataset of Antiarcha up to now.
DOI: 10.3886/e143861
title: Report on the Implementation and Impacts of the V-SOURCE College Access Program

description: Report on the implementation and impacts of the V-SOURCE college access program
DOI: 10.5281/zenodo.6536472
title: The data for the article entitled "Nitrogen deposition drives response and recovery to precipitation change and its reversal in an arid ecosystem""

description: <strong>Title:</strong> Nitrogen deposition drives response and recovery to precipitation change and its reversal in an arid ecosystem Yu et al. Document 1: Data on plant community traits. Document 2: Data on soil features.
DOI: 10.5281/zenodo.6536384
title: The data for the article entitled "Nitrogen deposition drives response and recovery to precipitation change and its reversal in an arid ecosystem""

description: <strong>Title:</strong> Nitrogen deposition drives response and recovery to precipitation change and its reversal in an arid ecosystem Yu et al. Document 1: Data on plant community traits. Document 2: Data on soil features.
DOI: 10.5517/ccdc.csd.cc28n0dc
title: CCDC 2104602: Experimental Crystal Structure Determination

description: Related Article: Yang Su, Ze-Fan Yao, Bin Wu, Yu-Dong Zhao, Jing-Yu Han, Ji-Hao Sun, Ming-Peng Zhuo, Jian-Zhong Fan, Zuo-Shan Wang, Jian Pei, Liang-Sheng Liao, Xue-Dong Wang|2022|Matter|5|1520|doi:10.1016/j.matt.2022.02.017
DOI: 10.13026/g02k-a047
title: The CirCor DigiScope Phonocardiogram Dataset

description: A total number of 5272 heart sound recordings were collected from the main
four auscultation locations of 1568 subjects, aged between 0 and 21 years
(mean ± STD = 6.1 ± 4.3 years), with a duration between 4.8 to 80.4 seconds
(mean ± STD = 22.9 ± 7.4 s), totaling more than 33.5 hours of recording. Each
cardiac murmur in the dataset has been annotated in detail by a human
annotator, in terms of timing, shape, pitch, grading, quality and location.
Moreover, segmentation annotations regarding the location of fundamental heart
sounds (S1 and S2) in the recordings have been obtained using a semi-
supervised scheme. The segmentation annotations were performed by voting
between three state-of-the-art machine-based algorithms. An expert annotator
later studied the consensus and mismatches between the algorithms beat-by-beat
and performed a manual annotation whenever the algorithms had disagreed or
were not acceptable for the expert. To date, the dataset is the largest
publicly available pediatric heart sound dataset, supporting deeper research
on the topic of auscultation-based health recommendation systems. The dataset
is being used in the George B. Moody PhysioNet Challenge 2022 on Heart Murmur
Detection from Phonocardiogram Recordings.
DOI: 10.13026/tshs-mw03
title: The CirCor DigiScope Phonocardiogram Dataset

description: A total number of 5272 heart sound recordings were collected from the main
four auscultation locations of 1568 subjects, aged between 0 and 21 years
(mean ± STD = 6.1 ± 4.3 years), with a duration between 4.8 to 80.4 seconds
(mean ± STD = 22.9 ± 7.4 s), totaling more than 33.5 hours of recording. Each
cardiac murmur in the dataset has been annotated in detail by a human
annotator, in terms of timing, shape, pitch, grading, quality and location.
Moreover, segmentation annotations regarding the location of fundamental heart
sounds (S1 and S2) in the recordings have been obtained using a semi-
supervised scheme. The segmentation annotations were performed by voting
between three state-of-the-art machine-based algorithms. An expert annotator
later studied the consensus and mismatches between the algorithms beat-by-beat
and performed a manual annotation whenever the algorithms had disagreed or
were not acceptable for the expert. To date, the dataset is the largest
publicly available pediatric heart sound dataset, supporting deeper research
on the topic of auscultation-based health recommendation systems. The dataset
is being used in the George B. Moody PhysioNet Challenge 2022 on Heart Murmur
Detection from Phonocardiogram Recordings.
DOI: 10.25318/3210043101-eng
title: Commercial poultry hatcheries, Census of Agriculture, 2011 and 2016, inactive

description: Census of Agriculture, 2011 and 2016. Number of chicks or other poultry hatched on commercial poultry hatcheries in the year prior to the census.
DOI: 10.6084/m9.figshare.15138411
title: SLiM parameters

description: Parameters used for all the SLiM simulation runs.
DOI: 10.6084/m9.figshare.15138411.v2
title: SLiM parameters

description: Parameters used for all the SLiM simulation runs.
DOI: 10.6084/m9.figshare.15138411.v1
title: SLiM parameters

description: Parameters used for all the SLiM simulation runs.
DOI: 10.25318/3210043101-fra
title: Couvoirs commerciaux, Recensement de l’agriculture, 2011 et 2016, inactif

description: Recensement de l’agriculture, 2011 et 2016. Nombre de poussins ou d'autres volailles éclos dans des couvoirs commerciaux dans l'année précédant le recensement.
DOI: 10.25387/g3.19651260
title: Supplement for Melton et al., 2022

description: Dataset contains two compressed General Feature Format (gff) files which contain locations and identities of coding sequences and repetitive DNA sequences within the Big Sagebrush (Artemisia tridentata subsp tridentata) genome data submitted to NCBI under BioProject PRJNA795150 and BioSample SAMN24662005. Annotation data support the Whole Genome Shotgun project deposited at DDBJ/ENA/GenBank under the accession JAKJXK000000000.
DOI: 10.6084/m9.figshare.15138399
title: SLiM simulation output

description: Output from SLiM simulations. These files contain all data needed to reproduce figures in the manuscript.
DOI: 10.6084/m9.figshare.15138399.v2
title: SLiM simulation output

description: Output from SLiM simulations. These files contain all data needed to reproduce figures in the manuscript.
DOI: 10.6084/m9.figshare.15138399.v1
title: SLiM simulation output

description: Output from SLiM simulations. These files contain all data needed to reproduce figures in the manuscript.
DOI: 10.25318/3210043201-eng
title: Bees, Census of Agriculture, 2011 and 2016, inactive

description: Census of Agriculture, 2011 and 2016. Honeybees and other pollinating bees.
DOI: 10.25318/3210043201-fra
title: Abeilles et autres insectes pollinisateurs, Recensement de l’agriculture, 2011 et 2016, inactif

description: Recensement de l’agriculture, 2011 et 2016. Abeilles et autres insectes pollinisateurs.
DOI: 10.25318/3210043301-eng
title: Farms classified by operating arrangement, Census of Agriculture, 2011 and 2016, inactive

description: Census of Agriculture, 2011 and 2016. Farms classified by operating arrangement: sole proprietorship, partnerships, corporation or other operating arrangements.
DOI: 10.5281/zenodo.6536474
title: Climate Excursions in Antarctica as an Analogue for Formation of Noachian Mars Clays

description: Dataset accompanying "Climate Excursions in Antarctica as an Analogue for Formation of Noachian Mars Clays" including raw XRD patterns; ASD and FTIR spectra as well as their spliced/combined versions; and flux fusion ICP-OES data separated by Antarctic Dry Valley microclimate.
DOI: 10.5281/zenodo.6536473
title: Climate Excursions in Antarctica as an Analogue for Formation of Noachian Mars Clays

description: Dataset accompanying "Climate Excursions in Antarctica as an Analogue for Formation of Noachian Mars Clays" including raw XRD patterns; ASD and FTIR spectra as well as their spliced/combined versions; and flux fusion ICP-OES data separated by Antarctic Dry Valley microclimate.
DOI: 10.25318/3210043301-fra
title: Exploitations classées selon la forme juridique, Recensement de l’agriculture, 2011 et 2016, inactif

description: Recensement de l’agriculture, 2011 et 2016. Exploitations agricoles classées selon la forme juridique : exploitation a proprietaire unique, partenariats, compagnie ou autre forme juridique.
DOI: 10.25318/3210043501-eng
title: Farms classified by total farm capital, Census of Agriculture, 2011 and 2016, inactive

description: Census of Agriculture, 2011 and 2016. Farms classified by total farm capital.
DOI: 10.25318/3210043501-fra
title: Exploitations classées selon le capital agricole total, Recensement de l’agriculture, 2011 et 2016, inactif

description: Recensement de l’agriculture, 2011 et 2016. Exploitations agricoles classées selon le capital agricole total.
DOI: 10.25318/3210043801-eng
title: Operating expenses, Census of Agriculture, 2011 and 2016, inactive

description: Census of Agriculture, 2011 and 2016. Farm business operating expenses in the year prior to the census.
DOI: 10.5281/zenodo.6536455
title: Weibo_hashtags_thematic_analysis_COVID-19

description: This dataset is affiliated to the journal article: Xi, W., Xu, W., Zhang, X., Ayalon, L. A Thematic Analysis of Weibo Topics (Chinese Twitter Hashtags) Regarding Older Adults During the COVID-19 Outbreak, <em>The Journals of Gerontology: Series B</em>, Volume 76, Issue 7, September 2021, Pages e306–e312, https://doi.org/10.1093/geronb/gbaa148
DOI: 10.5281/zenodo.6536454
title: Weibo_hashtags_thematic_analysis_COVID-19

description: This dataset is affiliated to the journal article: Xi, W., Xu, W., Zhang, X., Ayalon, L. A Thematic Analysis of Weibo Topics (Chinese Twitter Hashtags) Regarding Older Adults During the COVID-19 Outbreak, <em>The Journals of Gerontology: Series B</em>, Volume 76, Issue 7, September 2021, Pages e306–e312, https://doi.org/10.1093/geronb/gbaa148
DOI: 10.25318/3210043801-fra
title: Dépenses d'exploitation, Recensement de l’agriculture, 2011 et 2016, inactif

description: Recensement de l'agriculture, 2011 et 2016. Dépenses pour le fonctionnement de l'exploitation agricole dans l'année précédant le recensement.
DOI: 10.6084/m9.figshare.19610070
title: Clinical Profile and Outcome of Acute Kidney Injury in a Tertiary Care Center of Eastern Nepal

description: Excel dataset, consent format, proforma
DOI: 10.6084/m9.figshare.19610070.v2
title: Clinical Profile and Outcome of Acute Kidney Injury in a Tertiary Care Center of Eastern Nepal

description: Excel dataset, consent format, proforma
DOI: 10.25318/3210044601-eng
title: Technologies used on the operation, Census of Agriculture, 2016, inactive

description: Census of Agriculture, 2011 and 2016. Farms reporting technologies used on the operation in the year prior to the census.
DOI: 10.25318/3210044601-fra
title: Technologies utilisées dans l'exploitation, Recensement de l’agriculture, 2016, inactif

description: Recensement de l’agriculture, 2011 et 2016. Exploitations agricoles déclarant des technologies utilisées dans l'exploitation dans l'année civile précédant le recensement.
DOI: 10.25318/3210044701-eng
title: Direct sales of agricultural products to consumers, Census of Agriculture, 2016, inactive

description: Census of Agriculture, 2011 and 2016. Farms reporting selling agricultural products directly to consumers, by sales method, in the year prior to the census.
DOI: 10.25318/3210044701-fra
title: Vente directe de produits agricoles aux consommateurs, Recensement de l’agriculture, 2016, inactif

description: Recensement de l’agriculture, 2011 et 2016. Exploitations agricoles déclarant vendre des produits agricoles directement aux consommateurs, par méthode de vente, dans l'année civile précédant le recensement.
DOI: 10.25318/3210044801-eng
title: Succession plan for the agricultural operation, Census of Agriculture, 2016, inactive

description: Census of Agriculture, 2011 and 2016. Farms reporting having a written succession plan for the agricultural operation.
DOI: 10.25318/3210044801-fra
title: Plan de relève pour l'exploitation agricole, Recensement de l’agriculture, 2016, inactif

description: Recensement de l’agriculture, 2011 et 2016. Exploitations agricoles déclarant avoir un plan de relève pour l'exploitation.
DOI: 10.25318/3210044901-eng
title: Renewable energy production, Census of Agriculture, 2016, inactive

description: Census of Agriculture, 2011 and 2016. Farms reporting renewable energy production on the operation, regardless of ownership, in the year prior to the census.