cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.26022/ieda/331494
title: Raw high-resolution multi-channel seismic reflection (MCS) field data from the CORE-VTRCC cruise (2021)

description: This data set consists of raw high-resolution multi-channel seismic reflection (MCS) field data collected in 2021 over the Vitoria Trindade Ridge and Columbia Channel during research cruise CORE-VTRCC on naval vessel Nho Cruzeiro do Sul. The MCS data was acquired using a sparker seismic source with 800 tips model Geo-Source 800, up to 7 kJ energy power supply (GeoSpark 2000X) and a 48-channel streamer, all from the Geo Marine Survey Systems. Seismic acquisition and SEG-Y conversion was performed with the GeoRecorder software, also from Geo Marine Survey Systems. The Geo-Source 800 used a negative discharge for seismic pulse generation which results in a more stable seismic signature with a frequency range between 200 – 3000 Hz, centered at ~1 kHz. The streamer was composed of three hydrophones per channel, with a total active length of 150 m and 2 x 25 m cable stretches, to make a total of 200 m of streamer deployment. Channel distance in the streamer is 3.125 m and channel sampling occurred at 10 kHz. Geographic geometry was supplied by a DGPS antenna placed atop the seismic source configured with the WGS-84 ellipsoid and UTM projection zone 23S. Geometry distance averaged 5 m between source and streamer (dx) and ~20 m between source and first channel (dy). The source was placed at 1.5 m water depth and the streamer was at 0.5 m water depth. Energy levels and trigger interval for pulse generation varied across the survey depending on the bathymetric profile. Vessel velocity during seismic acquisition averaged 4 knots. See additional information in the associated Methodology report. These raw field MCS files are in SEG-Y format. Funding for this work was provided through FAPESP awards 2016/24946-9 and 2020/08847-6, and through the Brazilian Navy program PROAMAZONIA AZUL.
DOI: 10.34973/te70-x603
title: Pulse transit time as a proxy for vasoconstriction in younger and older adults

description: Objectives: Changes of vasoconstriction may be measured non-invasively using pulse transit time. This study assessed the sensitivity, test-retest reliability and validity of pulse transit time during vasoconstriction provocation and active standing, and the predictive value of pulse transit time for blood pressure drop.
Methods: Fifty-five younger (age < 65 years) and 31 older adults (age > 70 years) underwent electrocardiography, wrist and finger photoplethysmography and continuous blood pressure and total peripheral resistance measurements during vasoconstriction provocation using a cold pressor test (21 younger adults), or active stand tests (all other participants). Pulse transit time was defined as the time lag between the electrocardiography R-peak and the peak in the photoplethysmography first derivative; sensitivity as a significant decrease relative to baseline; test-retest reliability as the intra class correlation between different repeats of the same test; validity as the association between total peripheral resistance and pulse transit time; predictive value as the association between supine resting pulse transit time and mean arterial pressure drop during active standing. 
Results:  Finger pulse transit time was sensitive and reliable (ICC 0.2-0.8) during vasoconstriction provocation, but wrist pulse transit time was poorly reliable (ICC 0 – 0.5); only finger pulse transit time was sensitive to and reliable (ICC 0.4 – 0.8) during active standing in both younger and older adults. Finger pulse transit time was not associated with total peripheral resistance. Supine resting pulse transit time had predictive value for blood pressure drop during active standing in older adults (β -0.16; p 0.025). 
Conclusions: Pulse transit time was sensitive to and reliable during vasoconstriction provocation and active standing, but did not significantly differ between younger and older adults. Pulse transit time could not be demonstrated to particularly reflect vasoconstriction, but it had predictive value for blood pressure drop during active standing.
DOI: 10.5281/zenodo.12010539
title: Geoscience undergraduate major course requirements

description: This data compilation contains course requirements for undergraduate geoscience majors in Earth Science departments at 50 R1 universities in the United States.  The authors of this compilation (Ken Ferrier, Eva Golos, and Marianne Haseloff at the University of Wisconsin-Madison) collected these data in March-April 2024 (n = 966 courses in total) from each department’s publicly accessible webpage.  These data are organized in four tables, which contain data on the geoscience courses and credits required inside the home department and the cognate courses and credits required outside the home department (e.g., Math, Physics, Chemistry).
DOI: 10.5281/zenodo.13057503
title: Data Sets for: Trace elements in aerosol from Northwest Pacific marginal sea, Indian Ocean and South Pacific to Antarctica: Spatial variability and source identification

description: This dataset includes the concentrations of trace elements in aerosols, along with location and time information, collected during a cruise from November 2021 to April 2022. The cruise covered the Pacific, the Indian Ocean, the Southern Ocean.
DOI: 10.5281/zenodo.13127185
title: The high latitude ionospheric response to the major May 2024 geomagnetic storm: A synoptic view (Datasets)

description: Manually scaled ionosonde, ionosonde drift, and ISR datasets for the paper.
DOI: 10.5281/zenodo.13128167
title: Reduced Keck Images for KMT-2020-BLG-0414
DOI: 10.5281/zenodo.3518284
title: The Single-Cell Pathology Landscape of Breast Cancer

description: <strong>All data supporting the findings of the publication "The Single-Cell Pathology Landscape of Breast Cancer", including high-dimension tiff images, single-cell and tumor/stroma masks, single-cell and patient data. The code used to produce the results of this study is available at </strong>https://github.com/BodenmillerGroup/SCPathology_publication.<br> <br> <strong>OMEandSingleCellMasks.zip contains the ome-tiff stacks and the single-cell masks.<br> TumorStroma_masks.zip contains masks for tumor and stromal regions.<br> SingleCell_and_Metadata.zip contains the single-cell and patient data as well as all other input data for the R pipelines on the linked Github repository.</strong> <strong>Important notes when working with the data: </strong> <strong>The single-cell data provided for downstream R analysis is already spillover corrected.</strong> <strong> The single-cell masks that were generated using CellProfiler do not always contain strictly sequential single-cell labels. Every now and then an ID is skipped due to excluded edge cells. This can cause issues in histoCAT and therefore the single cells are automatically relabelled sequentially during loading into histoCAT. We exported the single-cell data from histoCAT for downstream R analysis and therefore the single-cell labels are the newly assigned sequential ones and match the labels in the histoCAT sessions. However, the original mask files that are also provided here still contain the original labels from CellProfiler. For matching the single-cell data provided here directly to the masks (e.g. for visualization of single-cell features on the image outside of histoCAT), the single-cell labels in the mask need to be relabelled as well or matched based on the rank.</strong>
DOI: 10.5281/zenodo.5903190
title: Raw CyTOF images associated with Moldoveanu et al. 2022, Science Immunology

description: This dataset contains the raw CyTOF images associated with the paper "An In-depth Map of the Melanoma Immune Microenvironment and Correlates of Immunotherapy Response by Imaging Mass Cytometry" (Moldoveanu et al. 2022). The MCD files output by CyTOF IMC were exported to one TIFF per channel per sample. This dataset contains one directory per sample (see Supplementary Table S1 for additional information). Each directory contains 46 TIFF images, which includes the 35 channels used in our study, 1 TIFF of the cell segmentation mask, and 10 TIFFs associated with background or unused channels.
DOI: 10.5281/zenodo.7588780
title: Data and scripts used for the SYNTCOMP report 2018-2021

description: We have reported on the last four editions of the reactive synthesis competition (SYNTCOMP 2018-2021). We briefly described the evaluation scheme and the experimental setup of SYNTCOMP. Then, we introduced new benchmark classes that have been added to the SYNTCOMP library and give an overview of the participants of SYNTCOMP. Finally, we presented and analyzed the results of our experimental evaluations, including a ranking of tools with respect to quantity and quality of solutions. The data and scripts uploaded herewith were used for the results and experiments in the aforementioned report.
DOI: 10.6084/m9.figshare.19611816.v1
title: Des_Hourly_2.csv

description: Silica gel desiccation data averaged over hourly periods. 2 of 2.
DOI: 10.6084/m9.figshare.25112129
title: ESSENZ_and_ESSENZ_PLUS_CFs

description: Characterization factors for ESSENZ and ESSENZ Plus are provided for all categories, which can be directly used in case studies.
DOI: 10.6084/m9.figshare.27000520
title: A global dataset of forest regrowth following wildfires

description: We employed multiple remotely sensed datasets to generate the first global maps of forest structure regrowth including forest height, aboveground biomass (AGB), leaf area index (LAI), and fraction of photosynthetically active radiation (FPAR) following wildfires at a 30 m spatial resolution. The regrowth index for each structural parameter includes regrowth ratio and rate at 5-year intervals, primarily from 2000 to 2020. The dataset is stored in GeoTIFF format. We segmented the regrowth dataset globally into multiple regions due to the varied time series of data in different regions. For each region, we categorized the regrowth land type into the secondary forest (dense and non-dense forests) and other regrowth types. In areas of the secondary forest, we mapped the regrowth ratio and rate for each parameter (Height, AGB, LAI, and FPAR) of the secondary forest for multiple years at 5-year intervals.
Taking Africa as an example, the filename and naming convention for the bands are: Filename: Africa_Height_regrowth.tif: Height regrowth of secondary forests following wildfires in Africa. Africa_AGB_regrowth.tif: AGB regrowth of secondary forests following wildfires in Africa. Africa_LAI_regrowth.tif: LAI regrowth of secondary forests following wildfires in Africa. Africa_FPAR_regrowth.tif: FPAR regrowth of secondary forests following wildfires in Africa. Bands of a file such as the Africa_height_regrowth.tif are: Regrowth_type_2020: Regrowth land type in 2020 following wildfires between 2000 and 2019. The dense forest, non-dense forest and others are coded as 10, 15, and 20, respectively. Height_regrowth_ratio_year: Height regrowth ratio of secondary forests following wildfires for a target year. Height_regrowth_rate_year: Height regrowth rate of secondary forests following wildfires for a target year.
DOI: 10.6085/c3g59z
title: Growth measurements of giant kelp (Macrocystis) grown on the ocean floor in central California

description: Experimental assessment of parentage on growth and development of Macrocystis sporophytes growing in a common ocean environment.
DOI: 10.6103/share.w2.260
title: Survey of Health, Ageing and Retirement in Europe (SHARE) Wave 2
DOI: 10.15154/1412097
title: Adolescent Brain Cognitive Development Study (ABCD)

description: NDA-17
DOI: 10.17632/8r5cttwh7f.1
title: Sorani Tweet Sent Dataset (STSD)

description: The Kurdish language is part of the Indo-Iranian branch of the Indo-European language family and is closely linked to Persian. It is spoken by approximately 40 million people residing at the crossroads of Iran, Turkey, Iraq, and Syria. Kurdish is recognized as an official language in Iraq and holds regional language status in Iraq. The language comprises various dialects, with Central Kurdish (Sorani) and Northern Kurdish (Kurmanji) being the primary ones. Additionally, there are minor dialects such as Gorani (Hawrami), spoken in parts of Iraq and Iran, and Zazaki, used in Turkey. Throughout history, Kurdish has been written using different alphabets, including Cyrillic, Armenian, Latin, and Arabic. The Sorani dialect, which is the focus of this dataset, consists of 36 letters representing vowels and consonants. Despite its rich linguistic heritage and a substantial number of speakers, the Kurdish language unfortunately lacks many essential natural language processing (NLP) tools, including comprehensive datasets.

In the given context, the Kurdish Sentiment Analysis Dataset stands as a noteworthy contribution to the field of natural language processing for low-resource languages, specifically focusing on the Sorani dialect of Kurdish. The dataset initially consisted of 30,009 texts gathered from Twitter using the Twitter API 2.0. Following thorough processing and refinement, the final dataset encompasses 24,668 high-quality texts, establishing a robust foundation for various NLP tasks. The data was collected during the global COVID-19 pandemic, adding a unique contextual backdrop to the dataset. As a result, a significant proportion of the tweets revolve around COVID-19 related topics, reflecting the societal concerns and discussions prevalent during this unprecedented time. 

The dataset stands out due to its meticulous annotation process. Each tweet was manually labeled by three human annotators across multiple dimensions, greatly enhancing its suitability for machine-learning applications. The annotations encompass four key aspects: subjectivity, sentiment, offensiveness, and the presence of a specific target. This comprehensive approach to labeling enables a nuanced comprehension of the text, empowering researchers to train models for tasks such as sentiment analysis, subjectivity detection, and identifying offensive language. The creation of this dataset fills a crucial gap in language resources for Kurdish, especially the Sorani dialect. Given Kurdish's status as a low-resource language, extensive datasets essential for the development of advanced NLP models have historically been lacking. Consequently, this dataset paves the way for new avenues in research and development in Kurdish language processing, offering the potential for enhanced language technologies for Kurdish speakers.
DOI: 10.17909/y6ph-d557
title: JWST/NIRISS Survey for Young Brown Dwarfs and Free-floating Planets
DOI: 10.24432/c55p70
title: CNNpred: CNN-based stock market prediction using a diverse set of variables
DOI: 10.25318/1410009001-eng
title:  Labour force characteristics by province, territory and economic region, annual, inactive

description: Number of persons in the labour force (employment and unemployment) and not in the labour force, unemployment rate, participation rate, and employment rate, by province, territory and economic region, last 5 years.
DOI: 10.5281/zenodo.10233501
title: Ocean biogeochemical reconstructions to estimate historical ocean CO2 uptake

description: The dataset presented here was employed for the visual representations and analysis in the submitted research article "Ocean Biogeochemical Reconstructions to Estimate Historical Ocean CO_2 Uptake" by Bernardello R. et al., which was a requirement established by the Earth System Journal. The presented data are post-processed results obtained through simulations of the EC-Earth-CC Earth System Model. In adherence to the journal's policy, we have provided access to this dataset.
In the files where the name does not specify otherwise, the dataset comprises every case that was examined in the paper.
In the case of Chlorophyll and Mixed Layer Depth, each file comprises a single case, which is denoted by its name.
DOI: 10.5281/zenodo.10439140
title: Supplementary materials for the manuscript "Heracleum sosnowskyi or Heracleum mantegazzianum? DNA-based identification of invasive hogweeds (Apiaceae) in two key regions of the species' invasion history in the former USSR.

description: Supplementary material for the manuscript "Heracleum sosnowskyi or Heracleum mantegazzianum? DNA-based identification of invasive hogweeds (Apiaceae) in two key regions of the species' invasion history in the former USSR". 

Shadrin_et_al_Online_Resource_Table_01.xlsx - Plant samples origin and identification.

Shadrin_et_al_Online_Resource_Table_02.xlsx - GenBank accession numbers for DNA markers.
DOI: 10.5281/zenodo.13271495
title: Histocytometry profiling of immune infiltrate in metastatic melanoma.

description: Histocytometry profiling of immune infiltrate in metastatic melanoma.

Each zip file contains single-page tiff images for one sample, named by the marker.
DOI: 10.5281/zenodo.2605371
title: Solvated protein fragments

description: The solvated protein fragments dataset probes many-body intermolecular interactions between <br>
"protein fragments" and water molecules, which are important for the description of many <br>
biologically relevant condensed phase systems. It contains structures for all possible <br>
"amons" [1] (hydrogen-saturated covalently bonded fragments) of up to eight heavy atoms <br>
(C, N, O, S) that can be derived from chemical graphs of proteins containing the 20 natural<br>
amino acids connected via peptide bonds or disulfide bridges. For amino acids that can occur <br>
in different charge states due to (de-)protonation (i.e. carboxylic acids that can be <br>
negatively charged or amines that can be positively charged), all possible structures with <br>
up to a total charge of +-2e are included. In total, the dataset provides reference energies, <br>
forces, and dipole moments for 2731180 structures calculated at the revPBE-D3(BJ)/def2-TZVP <br>
level of theory [2-5] using the ORCA 4.0.1 code [6,7]. 

For more details, see https://arxiv.org/abs/1902.08408.

[1] Huang, B. and von Lilienfeld, O. A. arXiv:1707.04146 (2017).<br>
[2] Grimme, S.; Antony, J.; Ehrlich, S. and Krieg, H. J. Chem. Phys. 132, 154104 (2010).<br>
[3] Grimme, S.; Ehrlich, S. and Goerigk, L. J. Comput. Chem. 32, 1456-1465 (2011).<br>
[4] Weigend, F. and Ahlrichs, R. Phys. Chem. Chem. Phys. 7, 3297-3305 (2005).<br>
[5] Zhang, Y. and Yang, W. Phys. Rev. Lett. 80, 890 (1998).<br>
[6] Neese, F. Wiley Interdiscip. Rev. Comput. Mol. Sci. 2, 73-78 (2012).<br>
[7] Neese, F. Wiley Interdiscip. Rev. Comput. Mol. Sci. 8, e1327 (2018).
DOI: 10.5281/zenodo.4005573
title: FYRE Climate: Precipitation

description: <strong>FYRE Climate</strong> (French hYdrometeorological REanalysis Climate dataset) is a 25-member ensemble of 142-year high-resolution reanalysis of precipitation and temperature over France, from 1 January 1871 to 29 December 2012. FYRE Climate results from the assimilation of historical daily station observations of temperature and precipitation into the SCOPE Climate reconstructions (Caillouet et al., 2019) through a Kalman filter ensemble approach (Devers et al., 2020). FYRE Climate provides an ensemble of 25 equally-plausible spatially-coherent gridded bivariate time series. Data are available at a daily time step on a 8 km grid over France as 25 files in NetCDF format. Values cover grid cells located only within metropolitan France national borders (including Corsica). The FYRE Climate dataset is fully described by Devers et al. (2021).
description: This work was funded by Irstea/INRAE and CNR (Compagnie Nationale du Rhône).
description: {"references": ["Devers, A., Vidal, J.-P., Lauvernet, C., Graff, B. & Vannier, O. (2020) A framework for high-resolution meteorological surface reanalysis through offline data assimilation in an ensemble of downscaled reconstructions. Quarterly Journal of the Royal Meteorological Society, 146, 153-173. https://doi.org/10.1002/qj.3663", "Devers, A., Vidal, J.-P., Lauvernet, C. & Vannier, O. (2021) FYRE Climate: A high-resolution reanalysis of daily precipitation and temperature in France from 1871 to 2012, Climate of the Past, 17, 1857-1879. https://doi.org/10.5194/cp-17-1857-2021"]}
DOI: 10.5281/zenodo.4006472
title: FYRE Climate: Temperature

description: <strong>FYRE Climate</strong> (French hYdrometeorological REanalysis Climate dataset) is a 25-member ensemble of 142-year high-resolution reanalysis of precipitation and temperature over France, from 1 January 1871 to 29 December 2012. FYRE Climate results from the assimilation of historical daily station observations of temperature and precipitation into the SCOPE Climate reconstructions (Caillouet et al., 2019) through a Kalman filter ensemble approach (Devers et al., 2020). FYRE Climate provides an ensemble of 25 equally-plausible spatially-coherent gridded bivariate time series. Data are available at a daily time step on a 8 km grid over France as 25 files in NetCDF format. Values cover grid cells located only within metropolitan France national borders (including Corsica). The FYRE Climate dataset is fully described by Devers et al. (2021).
description: This work was funded by Irstea/INRAE and CNR (Compagnie Nationale du Rhône).
description: {"references": ["Devers, A., Vidal, J.-P., Lauvernet, C., Graff, B. & Vannier, O. (2020a) A framework for high-resolution meteorological surface reanalysis through offline data assimilation in an ensemble of downscaled reconstructions. Quarterly Journal of the Royal Meteorological Society, 146, 153-173. https://doi.org/10.1002/qj.3663", "Devers, A., Vidal, J.-P., Lauvernet, C. & Vannier, O. (2021) FYRE Climate: A high-resolution reanalysis of daily precipitation and temperature in France from 1871 to 2012, Climate of the Past, 17, 1857-1879. https://doi.org/10.5194/cp-17-1857-2021"]}
DOI: 10.5523/bris.3mqfb4glgkr8a2rev7f73t300c
title: PGOPHER version 10.1

description: PGOPHER is a general purpose program for simulating and fitting rotational, vibrational and electronic spectra. Included here are executables, source code, documentation and sample files for version 10.1.180 of the PGOPHER program. This is an update for version 10.0.505, also available in this repository Please also see the program web site, http://pgopher.chm.bris.ac.uk/. The program is open source, and covered by the LGPL. The documentation and other files are covered by the University of Bristol repository's Non-Commercial Government License, except where explicitly noted.
DOI: 10.1285/i20356609v12i3p629
title: Work and Employment under the Gig Economy

description: This paper aims to indicate the key issues yielding to explain why a regulatory framework and correct policy responses are needed for what here we define as a platform 'society' and to identify its key 'collective' features. These include the respect of workers' fundamental rights (i.e. collective bargaining and representation) as well as they include the role of the state and public policy. These reflections are developed in the light of an in-depth examinations of the social implications of the gig-economy for work and employment.
DOI: 10.17909/natk-ks60
title: M87 F606W and F275W images

description: 53 epochs of F275W and F606W images of M87 yielding 94 novae
DOI: 10.26022/ieda/331479
title: Processed gridded bathymetry data for the CORE-VTRCC cruise (2021)

description: This processed swath bathymetry data set was collected in 2021 over the Vitoria Trindade Ridge and Columbia Channel during research cruise CORE-VTRCC on naval vessel Nho Cruzeiro do Sul. The data files are in ESRI ASCII grid format, were generated from the processed multibeam swath data, and have been gridded at 40 meter horizontal resolution. The grids are in geographic coordinates. Funding for this work was provided through FAPESP awards 2016/24946-9 and 2020/08847-6, and through the Brazilian Navy program PROAMAZONIA AZUL.