cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.18739/a2ft8dk8z
title: Spectral albedo measurements of the sea ice surface during the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) campaign in the Central Arctic Ocean, April – September 2020

description: This dataset contains spectral albedo data recorded on the sea ice surface June-September, 2020, during the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition expedition in the Central Arctic Ocean. Measurements were made in three modes: (i) along ‘albedo lines’, between 60-200 meters (m) in length, with measurements every 5 meters, (ii) at specific ‘library sites,’ or (iii) ‘experiments’. Albedo lines were chosen with the aim of crossing representative surface conditions during the summer sea ice evolution, including snow-covered ridges, bare ice, and ponded ice. Included in the dataset are classification of the surface cover and depth for most measurements. Spectral albedo data was collected using an Analytical Spectral Devices (ASD) FieldSpec Pro spectroradio meter with a custom spectralon cosine collector. Incident and reflected values were recorded subsequently, with 10 scans averaged for each.Processing of the data includes calculating an albedo from the relative values of incident and reflected scans, and completing quality control to (i) correct for parabolic offset between sensors, (ii) add flag quantifying variability of incident light that may be used to filter scans, (iii) remove scans with physically unrealistic values or slopes, and (iv) remove and filter noisy parts of the spectrum. This dataset is collocated with the broadband albedo dataset (doi.org/10.18739/A2KK94D36) and albedo photo dataset (doi.org/10.18739/A2B27PS3N).
DOI: 10.5281/zenodo.2667643
title: Hackerspace movement: a study of the Brazilian experience

description: Hackerspaces are part of a phenomenon emerging all over the world of building alternative spaces and infrastructure for research, experimenting and learning. They differ from other institutionally established spaces in their principles of autonomy: they are financed and managed by their own members and, as a result, they enjoy greater freedom in the definition of their themes and issues. In this article, we present the results of a research project carried out in 2017 about Brazilian hackerspaces. In the analysis, we resorted to the structure proposed by Smith et al. (2017) in their study about grassroots innovation movements, organised into four complementary aspects as follows: context, framings, spaces and strategies, and pathways. Thus, we contemplate the history of the movement in Brazil; meanings and narratives shared by participants; spaces and strategies employed in their structure and organisation; and, finally, case studies selected because they can be articulated with the local community issues.
DOI: 10.11583/dtu.14616660
title: Computational 2D Materials Database (C2DB)

description: The database contains structural, thermodynamic, elastic, electronic, magnetic, and optical properties of around 4000 two-dimensional (2D) materials distributed over more than 50 different crystal structures. The properties are calculated by density functional theory (DFT) and many-body perturbation theory (G0W0 and the Bethe- Salpeter Equation for around 300 materials) using the GPAW code and the Atomic Simulation Recipes (ASR).
DOI: 10.21947/1402024
title: Surface Meteorological Station - PNNL 10m Sonic, Physics site-5 - Derived Data

description: This set provides estimation of the turbulent fluxes obtained with EddyPro v6.2.0 software (15-min averaging).
DOI: 10.21947/1418023
title: Lidar - ESRL WindCube 200s, Wasco Airport - Reviewed Data

description: The available "Readme" file introduces the basics of the Doppler lidar data and offers a detailed description of the variables present in the data files. For those with any further questions about the data and its interpretation, contact either Alan Brewer () or Sunil Baidar (). It is highly recommended to discuss any planned use of the data with National Oceanic and Atmospheric Administration-Chemical Sciences Division (NOAA-CSD) scientists. For more information, refer to the Readme file: "noaa-esrl-wascolidar-readme-1.pdf."
DOI: 10.25919/kt3f-2z04
title: PARC: Protected Area Connectedness Index v2: 30s global layer 2020

description: CSIRO Protected Area Connectedness Index (PARC: Connectedness) is a global 30 arc-second product for 2020. Version 2 of the PARC: Connectedness Index has been revised in line with the Bioclimatic Ecosystem Resilience Index v2 framework, to use an updated geometric framework and global habitat condition surface. Prior to this update, PARC-C was calculated using a slightly different methodology which is not directly comparable. The Protected Area Representativeness and Connectedness (PARC) indices measure the extent to which terrestrial protected areas, and other effective area-based conservation measures (OECMs), are ecologically representative, and well-connected (both to one another, and to other areas of intact natural ecosystems in the surrounding landscape). For the purposes of reporting against the 2010-2020 Aichi Targets, the PARC was originally configured as two separate indicators: the Protected Area Representativeness Index (or ‘PARC-representativeness’) and the Protected Area Connectedness Index (or ‘PARC-connectedness’). However, these two indices were always designed in a manner which would allow them to be logically combined to yield a composite indicator of the extent to which a system of protected areas and OECMs is both ecologically representative and well-connected. The PARC indices, whether generated separately or as a composite, are used to monitor and report past-to-present trends in representativeness and connectedness by repeated calculation using best-available mapping of protected areas and OECMs at multiple points in time, e.g. for different years. They can also provide a foundation for assessing the contribution that potential additions to the system of protected areas and OECMs might make to improving present PARC scores, thereby providing a foundation for prioritising such actions.
DOI: 10.5066/p9c1px4p
title: Attribution of Chessie BIBI and fish sampling data to NHDPlusV2 Catchments within the Chesapeake Bay Watershed

description: This data release links fish survey data from a suite of programs in the Chesapeake Bay watershed as well the benthic macroinvertebrate sites included in the Chesapeake Bay Basin-wide Index of Biotic Integrity (Chessie BIBI) developed by the Interstate Commission on the Potomac River Basin (ICPRB) and available from the Chesapeake Bay Program. The data set contains site name, survey program, coordinates of sample, and ancillary information such as sample date and site location information where available. It also includes the NHDPlus V2.1 unique identifier, COMID, as well as a confidence classification category for each of these assignments based on a set of pre-determined rules. In total there were 15 confidence categories ranging from high confidence to low confidence. We caution the use of sampling points which were given anything other than &amp;amp;amp;amp;amp;quot;high&amp;amp;amp;amp;amp;quot; confidence in their assignment to a given NHD catchment/flowline to avoid spurious/inappropriate attribution of geospatial data to benthic macroinvertebrate and fish data samples represented herein and refer the potential user to the Confidence Dictionary.csv which describes the criteria for each confidence category.
DOI: 10.5066/p9s7uqkq
title: Geospatial database of the 2018 lower East Rift Zone eruption of Kilauea Volcano, Hawaii

description: The 2018 lower East Rift Zone eruption of Kilauea Volcano began in the late afternoon of 3 May, with fissure 1 opening and erupting lava onto Mohala Street in the Leilani Estates subdivision, part of the lower Puna District of the Island of Hawaii. For the first week of the eruption, relatively viscous lava flowed only within a kilometer (0.6 miles) of the fissures within Leilani Estates, before activity shifted downrift (east-northeast) and out of the subdivision during mid-May. Around 18 May, activity along the lower East Rift Zone intensified, and fluid lava erupting at higher effusion rates from the downrift fissures reached the ocean within two days. Near the end of May, this more vigorous activity shifted back uprift into Leilani Estates, where fissure 8 reactivated with lava fountains feeding several 'a'a flows. The southernmost flow lobe developed into a well-defined lava channel and reached the ocean at Kapoho Bay?11 kilometers (7 miles) away?on 3 June. Fissure 8 continued supplying this lava channel for more than two months, constructing an approximately 3.5-square-kilometer (1.4-square-mile) lava delta along the coastline. Over 4 and 5 August, activity at fissure 8 waned and flow in the lava channel came to a halt, only to be followed by weak activity within the vent in late August and early September. By then, the eruption had covered 35.5 square kilometers (13.7 square miles) of the lower Puna District with lava. In this report, the authors have sought to chronicle this sequence of events using geospatial data in the form of an Esri file geodatabase, Esri shapefiles, and Google Earth KMZs.
DOI: 10.5281/zenodo.7246185
title: Metagenomics of Parkinson's disease implicates the gut microbiome in multiple disease mechanisms

description: <strong>Abstract:</strong> Parkinson's disease (PD) may start in the gut and spread to the brain. To investigate the role of gut microbiome, we conducted a large-scale study, at high taxonomic resolution, using uniform standardized methods from start to end. We enrolled 490 PD and 234 control individuals, conducted deep shotgun sequencing of fecal DNA, followed by metagenome-wide association studies requiring significance by two methods (ANCOM-BC and MaAsLin2) to declare disease association at species and genus level, followed by network analysis to identify polymicrobial clusters, and functional profiling based on microbial genes and pathways. Here we show that over 30% of species, genes and pathways tested have altered abundances in PD, depicting a widespread dysbiosis. PD-associated species form polymicrobial clusters that grow or shrink together, and some compete. PD microbiome is disease permissive, evidenced by overabundance of pathogens and immunogenic components, dysregulated neuroactive signaling, preponderance of molecules that induce alpha-synuclein pathology, and over-production of toxicants; with the reduction in anti-inflammatory and neuroprotective factors limiting the capacity to recover. We validate, in human PD, findings that were observed in experimental models; reconcile and resolve human PD microbiome literature, and provide a broad foundation with a wealth of concrete testable hypotheses to discern the role of the gut microbiome in PD. <strong>Zenodo contents:</strong> In this Zenodo archive we provide (1) post sequence QC and post taxonomic and functional profiling "Source Data" used to generate tables and figures in the manuscript and (2) "Supplementary Code" that contains the workflow and code used to perform bioinformatic processing of shotgun sequences and statistical analyses of microbial profiles and subject metadata. The code provided here is the same "Supplementary Code" that is provided in the supplement of the manuscript. Individual level raw shotgun sequences and metadata are available on NCBI Sequence Read Archive (SRA) under BioProject ID PRJNA834801.
description: This work was funded by The U.S. Army Medical Research Materiel Command endorsed by the U.S. Army through the Parkinson's Research Program Investigator-Initiated Research Award under Award No. W81XWH1810508; NIH Training Grant T32NS095775; NIH/NIEHS 1R01ES032440-01A1 and Parkinson's Foundation PF-SF-JFA-830658; and Aligning Science Across Parkinson's [ASAP-020527] through the Michael J. Fox Foundation for Parkinson's Research. For the purpose of open access, at the time of publication, the authors have applied a CC BY public copyright license to all Author Accepted Manuscripts arising from this submission.
DOI: 10.5281/zenodo.7315598
title: Training data for neural network-based determination of nematic elastic constants

description: Neural network training data packets (<strong><em>intensities_{i}.csv, K1K3_{i}.csv</em></strong>), each consisting of 1000 training data pairs, used in a machine learning-based method for determination of Frank elastic constants of nematic liquid crystals, experimental measurements of time-dependent light intensities (<strong><em>experimental_time</em></strong>_<strong><em>{i}.csv, experimental_intensity_{i}.csv</em></strong>), diode spectrum data (<strong><em>diode_lbd</em></strong><strong><em>.csv, diode_w.csv</em></strong>). These data sets are associated with the paper <strong><em>[Zaplotnik et al. SciRep, 2023]</em></strong> This is supplementary material for a Jupyter Notebook uploaded on Zenodo.
DOI: 10.5285/a01d292f-b4a0-1ef7-e053-6c86abc0a4b2
title: The International Bathymetric Chart of the Arctic Ocean (IBCAO) Version 4.0.

description: The International Bathymetric Chart of the Arctic Ocean (IBCAO) Version 4.0 is a gridded continuous terrain model covering ocean and land of the Arctic region. The grid has been compiled from sounding data covering an area of approximately 19.8% of the Arctic Ocean floor, of which 14.3% is comprised of multibeam bathymetry and about 5.5% with other sources, excluding digitized depth contours. IBCAO Version 4.0 has been compiled with support from the Nippon Foundation-GEBCO-Seabed 2030 Project, an international effort whose goal it is to see the entire world ocean mapped by 2030. A geographic version of the Polar Stereographic grid serves as input to the General Bathymetric Chart of Oceans (GEBCO) global gridded terrain model.
DOI: 10.5523/bris.21ypbecdc308m2c32nqpown5y0
title: Lautenschlager et al 2023 Functional reorganisation cranial skeleton
title: Function reorganisation cranium

description: Data associated with forthcoming publication in Communications Biology
DOI: 10.6084/m9.figshare.21799475
title: High throughput calculations for a dataset of bilayer materials: BMDS

description: CSV file containing all data for bilayers code for generating band structure with SOC after reading an output VASP file code for generating transport properties after reading an output VASP file figures containing all band structures as computed by VASP figures containing all transport properties computed by VASP and BOLTZRAP code generating the different stacking patterns for bilayers <br> <br>
DOI: 10.21947/1402013
title: Surface Meteorological Station - PNNL 10m Sonic, Physics site-4 - Derived Data

description: This set provides estimation of the turbulent fluxes obtained with EddyPro v6.2.0 software (15-min averaging).
DOI: 10.5281/zenodo.7764640
title: Dataset for "A shift in plant growth strategy is caused by increased nutrient requirements due to polyploidy in Heuchera cylindrica".

description: Dataset for "A shift in plant growth strategy is caused by increased nutrient requirements due to polyploidy in <em>Heuchera cylindrica</em>".
DOI: 10.21947/1418024
title: Lidar - ESRL WindCube 200s, Arlington Airport - Reviewed Data

description: The available "readme" file introduces the basics of the Doppler lidar data and offers a detailed description of the variables present in the data files. For those with any further questions about the data and its interpretation, contact either Alan Brewer () or Sunil Baidar (). It is highly recommended to discuss any planned use of the data with National Oceanic and Atmospheric Administration-Chemical Sciences Division (NOAA-CSD) scientists. For more information, refer to the Readme file: "noaa-esrl-arlingtonlidar-readme-1.pdf."
DOI: 10.18462/iir.icr.2023.0545
title: Estimating cargo temperatures in refrigerated containers.
DOI: 10.21947/1402020
title: Surface Meteorological Station - PNNL 10m Sonic, Physics site-10 - Derived Data

description: This set provides estimation of the turbulent fluxes obtained with EddyPro v6.2.0 software (15-min averaging).
DOI: 10.21947/1402039
title: Shortwave, Longwave Radiometer - ESRL SURFRAD, Wasco - Derived Data

description: This dataset showcases the role of shortwave and longwave radiation in planetary boundary layer (PBL) development and winds. Radiation budget is part of the energy budget.
DOI: 10.14284/141
title: Spatial distribution of suspended particulate matter (SPM), inorganic nutrients, chlorophyll a and particulate organic carbon (POC) in Mwtapa, Shirazi and Ramisi creeks (Kenya) sampled between August and October 1999
DOI: 10.21947/1402036
title: Lidar - ND Halo Scanning Doppler, Boardman - Reviewed Data

description: The University of Notre Dame (ND) scanning LiDAR dataset used for the WFIP2 Campaign is provided. The LiDAR is a Halo Photonics Stream Line Scanning Doppler LiDAR. **It is highly recommended to discuss any planned use of these data with University of Notre Dame scientists**. For more information refer to Section 4.c) in the updated version of the "WFIP2 Project (lidar.z07)" Readme file, where the lidar.z07.b0 dataset is fully explained.
DOI: 10.21947/1412525
title: Microwave Radiometer - ESRL Radiometrics MWR, Wasco Airport - Reviewed Data

description: These data monitor real-time profiles of temperature (K), water vapor (gm-3), relative humidity (%), and liquid water (gm-3) up to 10 km.
DOI: 10.21947/1412526
title: Radar - ESRL Wind Profiler with RASS, Wasco Airport - Reviewed Data

description: Wind Profiler with Radio Acoustic Sounding System (RASS) data.
DOI: 10.3886/icpsr09948.v1
title: National Youth Survey [United States]: Wave VI, 1983
title: Version 1

description: Youth data for the sixth wave of the National Youth Survey are contained in this collection. This research project, which was designed to gain a better understanding of both conventional and deviant types of behavior by youths, involved collecting information from a representative sample of young people in the United States. The first wave of this survey was conducted in 1976 (ICPSR 8375), the second wave in 1977 (ICPSR 8424), the third wave in 1978 (ICPSR 8506), the fourth wave in 1979 (ICPSR 8917), and the fifth wave in 1980 (ICPSR 9112). For this wave, youths and young adults were interviewed in early 1984 about events and behavior occurring in calendar year 1983, when they were 17 to 26 years of age. Data are available on the demographic and socioeconomic status of respondents, disruptive events for parents, neighborhood problems, employment, children, aspirations and current successes, normlessness, labeling by parents, perceived disapproval by parents, peers, co-workers, and partner, attitudes toward deviance, exposure to delinquent peers, self-reported delinquency, drug and alcohol use, victimization, pregnancy, depression, use of outpatient services, spouse violence by respondent and partner, and sexual activity.
description: National sample of the American youth population selected by area probability sampling.
description: Datasets: DS1: National Youth Survey [United States]: Wave VI, 1983
description: Youths in the United States.
description: Produced by the University of Colorado, Behavioral Research Institute at Boulder, CO.
DOI: 10.5281/zenodo.6255206
title: The AUTOTYP database

description: AUTOTYP is a large-scale research program with goals in both quantitative and qualitative typology. This release contains the full raw data from the AUTOTYP databases along with metadata, aggregated datasets and aggregation scripts. Please cite as: Bickel, Balthasar, Nichols, Johanna, Zakharko, Taras, Witzlack-Makarevich, Alena, Hildebrandt, Kristine, Rießler, Michael, Bierkandt, Lennart, Zúñiga, Fernando & Lowe, John B. 2022. The AUTOTYP database (v1.0.1). https://doi.org/10.5281/zenodo.6255206 <strong>Release 1.0.1</strong> This is a maintenance release: improved JSON output improved and corrected the metadata for multiple variables of the type value-list improved the bibliography data, added Glottolog language and reference IDs (many thanks to Robert Forkel for doing this work) minor data fixes (duplicate entries in datasets Alienability, Gender and NumeralClassifiers) Known limitations: WordDomains dataset has known structural defects and only exports partial information published in AUTOTYP. We are working on overhauling this module and will publish a redesigned version of this dataset in a future release Alignment computations are currently only defined for a subset of the available grammatical relation data. Please refer to the documentation. This will be addressed in a future release Data in CLDF format will be provided in a future release <strong>Release 1.0.0</strong> This is a completely new release, radically overhauled from the earlier 0.1.x version, and focuses on usability, documentation, and completeness. New features include: Over 260 typological variables that describe 1319 languages across approximately 260,000 data points or, together with the derived (aggregated) data, over 1,700,000 data points. New naming conventions for datasets and variables, focusing on usability and clarity. Language name and Glottolog code now accompany every dataset, so each dataset is a self-standing table of a typological variable (but can also be linked to any and all of the others via the internal language ID). Published data now includes the raw exported database data as well as derived aggregated tables. All aggregation scripts used to compute derived data are published as well. New R and JSON exports for users who prefer those environments. For a complete list of major new features see: https://github.com/autotyp/autotyp-data/blob/v1.0.1/CHANGES-1.0.0.md For general information about the database: https://github.com/autotyp/autotyp-data/blob/v1.0.1/readme.md
DOI: 10.5281/zenodo.7894030
title: Dark Matter-Induced Stellar Oscillations

description: Reproduction package for the paper "Dark Matter-Induced Stellar Oscillations".
DOI: 10.18462/iir.icr.2023.0551
title: A method to measure the K-value of local elements of insulated transport equipment.
DOI: 10.5281/zenodo.10057302
title: Tables, figures, and country data complementing the European Union One Health Zoonoses 2022 Report

description: European Food Safety Authority; European Centre for Disease Prevention and Control
All summary tables and figures produced for the European Union One Health 2022 Zoonoses Report are provided as archives containing Excel files for tables, and as PDF or PNG files for figures.
All country data connected to this Report are published SEPARATELY on Knowledge Junction - see related identifiers. This is because DATA OWNERSHIP for country data stays with the organisation(s) of the country submitting the data - for further reference see doi:10.2903/sp.efsa.2019.EN-1544.
Supplementary datasets submitted are given in the related identifier section, however for clarity we give here the information on what they refer to:
10.5281/zenodo.10255165 Foodborne outbreaks
10.5281/zenodo.10256864 Disease status
10.5281/zenodo.10255061 Animal Population
10.5281/zenodo.10246432 Prevalence
Sample-based data submitted by specific countries
10.5281/zenodo.10257184 Finland
10.5281/zenodo.10257162 Croatia
10.5281/zenodo.10257105 Norway
10.5281/zenodo.10257034 Luxembourg
10.5281/zenodo.10257142 United Kingdom (Northern Ireland)
10.5281/zenodo.10257210 Ireland
10.5281/zenodo.10257388 Sweden
Journal article: 10.2903/j.efsa. 2023.8442 
Citation
EFSA (European Food Safety Authority) & ECDC (European Centre for Disease Prevention and Control). (2023). Tables, figures, and country data complementing the European Union One Health Zoonoses 2022 Report [Dataset]. https://doi.org/10.5281/zenodo.10057302