cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.1594/pangaea.591879
title: Tree-ring measurements of Picea abies (Norway spruce) from sample GASI-11

description: Species PCAB; No of rings 189; Begin 1776; End 1964
DOI: 10.1594/pangaea.592027
title: Tree-ring measurements of Pinus sylvestris (Scotch pine) from sample GOTLAND-63

description: Species PISY; No of rings 148; Begin 1706; End 1853
DOI: 10.1594/pangaea.592070
title: Tree-ring measurements of Picea abies (Norway spruce) from sample GRIWANPC-22

description: Species PCAB; No of rings 128; Begin 1868; End 1995
DOI: 10.1594/pangaea.592071
title: Tree-ring measurements of Picea abies (Norway spruce) from sample GRIWANPC-231

description: Species PCAB; No of rings 127; Begin 1869; End 1995
DOI: 10.1594/pangaea.592202
title: Tree-ring measurements of Pinus sylvestris (Scotch pine) from sample HAAPAR-122

description: Species PISY; No of rings 165; Begin 1814; End 1978
DOI: 10.1594/pangaea.591880
title: Tree-ring measurements of Picea abies (Norway spruce) from sample GASI-121

description: Species PCAB; No of rings 99; Begin 1866; End 1964
DOI: 10.1594/pangaea.592031
title: Tree-ring measurements of Pinus sylvestris (Scotch pine) from sample GOTLAND-69

description: Species PISY; No of rings 111; Begin 1598; End 1708
DOI: 10.1594/pangaea.591887
title: Tree-ring measurements of Picea abies (Norway spruce) from sample GASI-151

description: Species PCAB; No of rings 103; Begin 1862; End 1964
DOI: 10.1594/pangaea.592210
title: Tree-ring measurements of Pinus sylvestris (Scotch pine) from sample HAAPAR-51

description: Species PISY; No of rings 155; Begin 1824; End 1978
DOI: 10.1594/pangaea.592033
title: Tree-ring measurements of Pinus sylvestris (Scotch pine) from sample GOTLAND-70

description: Species PISY; No of rings 77; Begin 1601; End 1677
DOI: 10.1594/pangaea.592072
title: Tree-ring measurements of Picea abies (Norway spruce) from sample GRIWANPC-232

description: Species PCAB; No of rings 166; Begin 1830; End 1995
DOI: 10.1594/pangaea.592034
title: Tree-ring measurements of Pinus sylvestris (Scotch pine) from sample GOTLAND-71

description: Species PISY; No of rings 84; Begin 1625; End 1708
DOI: 10.1594/pangaea.592174
title: Tree-ring measurements of Picea abies (Norway spruce) from sample GYRSPCAB-11

description: Species PCAB; No of rings 144; Begin 1843; End 1986
DOI: 10.1594/pangaea.591890
title: Tree-ring measurements of Picea abies (Norway spruce) from sample GASI-22

description: Species PCAB; No of rings 148; Begin 1817; End 1964
DOI: 10.1594/pangaea.592074
title: Tree-ring measurements of Picea abies (Norway spruce) from sample GRIWANPC-242

description: Species PCAB; No of rings 193; Begin 1803; End 1995
DOI: 10.1594/pangaea.591825
title: Tree-ring measurements of Pinus sylvestris (Scotch pine) from sample FRAN-91

description: Species PISY; No of rings 131; Begin 1846; End 1976
DOI: 10.1594/pangaea.592075
title: Tree-ring measurements of Picea abies (Norway spruce) from sample GRIWANPC-291

description: Species PCAB; No of rings 179; Begin 1817; End 1995
DOI: 10.5281/zenodo.13787764
title: Wind turbine wake flight experiment raw data

description: Raw data from wind turbine wake flight experiments.
DOI: 10.5281/zenodo.7670583
title: KupferDigital mechanical testing datasets

description: The Kupfer<em>Digital</em> project aims to develop digital methods, tools, and data space infrastructures for digitalizing the entire life cycle of copper materials. The mechanical testing process is one of the main chains of such life cycles which generates lots of important testing data about the mechanical properties of the materials and their related materials and testing metadata. To train the digitalization of the mechanical testing process, different kinds of copper alloys were provided for this project, and their mechanical properties were measured by typical methods like Brinell and Vickers hardness and tensile testing. The primary raw testing data as well as the secondary datasets of these tests are provided. The detailed materials specifications, the utilized mechanical testing methods, and provided datasets are described in the content file. The test data files of heterogeneous structures are processed by the Kupfer<em>Digital</em> digital tools to be converted to standardized machine-readable data files.
DOI: 10.1594/pangaea.592086
title: Tree-ring measurements of Picea abies (Norway spruce) from sample GRIWANPC-72

description: Species PCAB; No of rings 200; Begin 1796; End 1995
DOI: 10.1594/pangaea.592088
title: Tree-ring measurements of Picea abies (Norway spruce) from sample GRIWANPC-92

description: Species PCAB; No of rings 138; Begin 1858; End 1995
DOI: 10.1594/pangaea.881714
title: Snow salinity measurements at ice stations during POLARSTERN cruise PS81 (ANT-XXIX/6, AWECS)

description: Measurements were obtained doing classical snow pits at all ice stations as well as additional stations served by helicopter during PS81 (ANT-29/6, AWECS). Snow pits were taken at representative locations of the floe. Measurements were done on an undisturbed shaded working wall of the snow pit.
DOI: 10.1594/pangaea.881717
title: Snow density measurements at ice stations during POLARSTERN cruise PS81 (ANT-XXIX/6, AWECS)

description: Measurements were obtained doing classical snow pits at all ice stations as well as additional stations served by helicopter during PS81 (ANT-29/6, AWECS). Snow pits were taken at representative locations of the floe. Measurements were done on an undisturbed shaded working wall of the snow pit.
DOI: 10.17632/jjx685vj6k.2
title: Markov CTMC CVD Progression Framework Compressed Data and Code

description: 1. README.md is a mark-up file that contains descriptions of all files in the .zip file
2. .zip file: Contains subfolders - Data, Output, Program, Excel. After unzipping the programs can run based on this folder structure without modification of path in the code. When programs run successfully it overwrites the current files in the Output folder with new results. Excel folder contains "CTMC_Markov_chain_FINAL_ARTIFACT.xlsx" file which is the visualization artifact.
DOI: 10.21424/r47h0m
title: CHC-CMIP6
DOI: 10.21942/uva.25690692.v1
title: <b>A high-resolution 7 Tesla resting-state fMRI dataset optimized for studying the subcortex</b>

description: To achieve a comprehensive understanding of spontaneous brain dynamics in humans, <i>in vivo</i><i> </i>acquisition of intrinsic activity across both cortical and subcortical regions is necessary. Here we present an advanced whole-brain, resting-state functional magnetic resonance imaging (rs-fMRI) dataset at ultra-high field (7 Tesla) from 56 healthy adults (33 females, ages 19-39 years). Whole-brain functional images were acquired in two multiband EPI-BOLD runs of 15 min each during eyes-open wakeful rest (TR=1380 ms, TE=14 ms, flip angle=60 degrees, GRAPPA factor=3, multiband acceleration factor=2, voxel size=1.5 mm isotropic). An additional scan was performed with opposite phase encoding direction to measure and correct for susceptibility-induced field distortions. The high spatial resolution and short echo times of this imaging protocol optimizes blood oxygen level-dependent (BOLD)-sensitivity for the subcortex while concurrent respiratory and cardiac measures enable retrospective correction of physiological noise, resulting in data that is highly suitable for researchers interested in subcortical BOLD signal. Functional timeseries were coregistered to high-resolution T1-weighted structural images (0.75 mm isotropic voxels) acquired during the same scanning session. To accommodate data reutilization, functional and structural images were formatted to the Brain Imaging Data Structure (BIDS) and preprocessed with fMRIPrep.
DOI: 10.26050/wdcc/esaccipsmvsbsio
title: ESA-CCI_Phase2_Standardized_Manual_Visual_Ship-Based_SeaIceObservations_v01

description: Project: ESA-CCI sea-ice-ecv project phase 2 bi-polar standardized manual visual ship-based sea-ice observations - The European Space Agency - Climate Change Initiative (ESA-CCI) sea-ice Essential Climate Variable (ECV) project, phase 2, (ESA-SICCI2) ran from 2015 through 2018 (see http://esa-cci.nersc.no/). The main aim of phase 2 of the ESA-SICCI project was to further enhance development, production and evaluation of satellite-based sea ice ECV data sets, namely of sea-ice concentration and sea-ice thickness. One element of the evaluation of the ECVs produced was the comparison of the sea-ice ECV data sets with manual, visual ship-based observations of the sea-ice cover. For this purpose, within ESA SICCI phase 2, a standardized data set of such observations was created for both polar regions covering the period June 2002 through December 2015. These observations comprise visual, i.e. by human eye, regularly and manually conducted observations of the total sea-ice concentration and various other sea-ice parameters of the three thickest sea-ice types within a radius of one kilometer around the ship while the ship cruises through polar waters. Summary: Polar regions are data sparse regions. Research ships operating in polar regions often record sea-ice conditions during their transects through ice infested waters. Such observations of the sea-ice conditions are often the only information that can be provided in addition to satellite-based estimates of the sea-ice conditions, such as sea-ice concentration or sea-ice thickness.
DOI: 10.4225/15/59b0c7fd5c76f
title: Ice and snow pit measurements observed during the SIPEX II voyage of the Aurora Australis, 2012
DOI: 10.4225/15/5a8f94c228afb
title: Ice-physics transect data obtained during the SIPEX II voyage of the Aurora Australis, 2012
DOI: 10.5281/zenodo.13204660
title: Data for "Neural space-time model for dynamic multi-shot imaging"

description: Data for "Neural space-time model for dynamic multi-shot imaging"

Link to preprint: https://www.biorxiv.org/content/10.1101/2024.01.16.575950

Code: https://github.com/rmcao/nstm

 

Raw images from structured illumination microscopy (SIM):



beads.tif: a dense microbead sample with vibrating motion (Fig.2)

mito.tif: a live RPE-1 cell expressing StayGold-tagged mitochondrial matrix protein (Fig.3)

er.tif: a RPE-1 cell expressing StayGold-tagged endoplasmic reticulum (Fig.4)

f-actin.tif: a live RPE-1 cell tagged with F-Actin Halo-JF585 (Extended Data Fig.6)

f-actin_extradelay.tif: a live RPE-1 cell tagged with F-Actin Halo-JF585 with extra time delay between rotations (Extended Data Fig.6)


 

Baseline reconstruction:



beads_fairSIM.tif: conventional reconstruction of the dense microbead sample using fairSIM software (https://www.fairsim.org)

mito_cudasirecon.tif: conventional reconstruction for a mitochondria-labeled cell (mito.tif) using cuda-accelerated SIM reconstruction software (https://github.com/scopetools/cudasirecon)

er_cudasirecon.tif: conventional reconstruction for an endoplasmic reticulum-labeled cell (er.tif) using cuda-accelerated SIM reconstruction software

f-actin_cudasirecon.tif: conventional reconstruction for a F-Actin Halo-JF585 labeled cell (f-actin.tif) using cuda-accelerated SIM reconstruction software

f-actin_extradelay_cudasirecon.tif: conventional reconstruction for a F-Actin Halo-JF585 labeled cell with extra delay (f-actin_extradelay.tif) using cuda-accelerated SIM reconstruction software
DOI: 10.5281/zenodo.13283380
title: BVOC Fluxes from Individual Branches in the Mixed Mediterranean Shrubbery of Ramat Hanadiv

description: Fluxes were derived from BVOCs sampled from individual branches in the mixed Mediterranean shrubbery of Ramat Hanadiv Nature Park. We conducted branch-enclosure sampling measurements on six selected branches of Phillyrea latifolia—the highest BVOC emitter in this park—during September–October 2020. These samples were then analyzed by gas chromatography-mass spectrometry to identify BVOCs and quantify their fluxes. The data was used for a publication  -https://doi.org/10.5194/egusphere-2024-529, 2024
DOI: 10.5285/4bbcb1722f2842c1b0a5ebc19160a863
title: STFC RAL methane retrievals from IASI on board MetOp-B, version 2.0

description: This Infrared Atmospheric Sounding Interferometer (IASI) methane dataset contains height-resolved and column-averaged volume mixing ratios of atmospheric methane (CH4) retrieved from the IASI instrument on the MetOp-B satellite. It also includes column-averaged water vapour (H2O), a scale factor for the HDO (water vapour isotopologue) volume mixing ratio profile, surface temperature, effective cloud fraction, effective cloud-top pressure and scale factors for two systematic residual spectra which are jointly retrieved from the spectral range 1232.25-1290.00 cm-1. This dataset was produced by Version 2.0 of the Rutherford Appleton Laboratory's (RAL's) IASI optimal estimation scheme to retrieve methane, which takes as input temperature and water vapour profiles and surface spectral emissivity pre-retrieved by RAL's Infrared and Microwave Scheme applied to IASI, MHS and AMSU-A on MetOp-B. The dataset additionally contains selected a priori values and uncertainties adopted in the optimal estimation scheme and retrieval output diagnostics such as the retrieval cost and the averaging kernels. Development of the Version 2.0 scheme and its application to MetOp-A (2007-2017, http://dx.doi.org/10.5285/f717a8ea622f495397f4e76f777349d1) was funded by the National Centre for Earth Observation (NCEO) under the UK Natural Environment Research Council (NERC) with additional funding from EUMETSAT. Adaptation to MetOp-B and production of the IASI MetOp-B methane dataset 01/2018-03/2021 were funded by NCEO and ESA Contract No. 4000129987/20/I-DT Methane+. Data were produced by the United Kingdom Research and Innovation (UKRI) Science and Technology Facilities Council (STFC) Remote Sensing Group (RSG) at the Rutherford Appleton Laboratory (RAL).
DOI: 10.6075/j0kh0kj3
title: Ecological monitoring in reefs of the Gulf of California and Pacific Ocean. In dataMares: Ecological Monitoring

description: The ecological data of fish and invertebrates were collected under the leadership of the Centro para la Biodiversidad Marina y la Conservación, A.C. (CBMC) as part of Gulf of California Marine Program's long-term ecological monitoring program. This effort includes researchers and students from the Universidad Autónoma de Baja California Sur in La Paz, BCS. This monitoring program has been implemented since 1998, making it the longest-running monitoring effort in the Gulf of California. The data included in this data base was collected in the Bahía de los Ángeles (2008, 2009, 2010, 2016), the Región de las Grandes Islas (2008, 2009, 2010 and 2016) in Baja California; Santa Rosalia (2009, 2010, 2016, 2021, 2022), San Basilio (2019, 2021-2022), Loreto (1998-2019, 2021-2022), El Corredor (2013-2019), La Paz (1998-2019,2022), La Ventana (2013-2018), Cabo Pulmo (1999, 2009-2022), and Cabo San Lucas (1998-2000, 2009-2019, 2021-2022) in Baja California Sur; Islas Marías (2010, 2018), Bahia Banderas (2013), Nayarit; Revillagigedo (2006, 2016, 2017,2021), Colima; Ixtapa Zihuatanejo (2017), Guerrero; Huatulco (2016), Oaxaca. There are 216 species of fish and 244 species of invertebrates included in this inventory.
description: Software used: Microsoft Excel. Coordinate system: WGS 1984.
description: Data are collected using transect belt methods, using the standardized methodology of the Long-Term Ecological Monitoring Program designed by the Gulf of California Marine Program. Divers use SCUBA diving in rocky reefs and use linear transects (fish = 50m x 5m; invertebrates = 30m x 1m) as a guide. Fish: Transects were placed at 20 and 5 meters depth. If the sites monitored does not have a rocky bottom at more than 5 meters, only one depth is surveyed. Fishes are visually counted over a belt transect with a reference area of 50m x 5m: first swim over transect, larger demersal fishes are prioritized, whereas on the second swim the focus is on cryptic species. Therefore, the final estimation area is of 250 m squared. Fish sizes are also visually estimated, this measures is then combined to bibliographic data to estimate biomass. Invertebrates: Transects were placed at 20 and 5 meters depth. Invertebrates are visually counted over a belt transect with a reference area of 30m x 1m: one swim over transect counting epibenthic macroinvertebrates (larger than 2 cm) and recording estimated size.
DOI: 10.1594/pangaea.591966
title: Tree-ring measurements of Picea abies (Norway spruce) from sample GLOMME-62

description: Species PCAB; No of rings 222; Begin 1757; End 1978
DOI: 10.1594/pangaea.592090
title: Tree-ring measurements of Picea abies (Norway spruce) from sample GRIWASPC-12

description: Species PCAB; No of rings 154; Begin 1842; End 1995
DOI: 10.1594/pangaea.591907
title: Tree-ring measurements of Abies spectabilis (Silver fir) from sample GHOR-112

description: Species ABSB; No of rings 113; Begin 1866; End 1978
DOI: 10.1594/pangaea.591973
title: Tree-ring measurements of Pinus sylvestris (Scotch pine) from sample GOTLAND-11

description: Species PISY; No of rings 115; Begin 1181; End 1295
DOI: 10.1594/pangaea.591908
title: Tree-ring measurements of Abies spectabilis (Silver fir) from sample GHOR-11

description: Species ABSB; No of rings 138; Begin 1841; End 1978
DOI: 10.1594/pangaea.591909
title: Tree-ring measurements of Abies spectabilis (Silver fir) from sample GHOR-122

description: Species ABSB; No of rings 126; Begin 1853; End 1978
DOI: 10.1594/pangaea.591835
title: Tree-ring measurements of Pseudotsuga menziesii (Douglas-fir) from sample FRYDAY-131

description: Species PSME; No of rings 197; Begin 1787; End 1983
DOI: 10.1594/pangaea.592094
title: Tree-ring measurements of Picea abies (Norway spruce) from sample GRIWASPC-152

description: Species PCAB; No of rings 203; Begin 1785; End 1987
DOI: 10.1594/pangaea.591976
title: Tree-ring measurements of Pinus sylvestris (Scotch pine) from sample GOTLAND-14

description: Species PISY; No of rings 100; Begin 1290; End 1389
DOI: 10.1594/pangaea.592096
title: Tree-ring measurements of Picea abies (Norway spruce) from sample GRIWASPC-162

description: Species PCAB; No of rings 193; Begin 1803; End 1995
DOI: 10.15468/dl.w2ge42
title: Occurrence Download

description: A dataset containing 15262 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "Country is Spain",
 "Geometry POLYGON((-7.91732 38.41267,-4.80233 38.41267,-4.80233 40.85092,-7.91732 40.85092,-7.91732 38.41267))",
 "HasGeospatialIssue is false",
 "TaxonKey is Scarabaeidae"
 ]
}

 The dataset includes 15262 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037736-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.591911
title: Tree-ring measurements of Abies spectabilis (Silver fir) from sample GHOR-131

description: Species ABSB; No of rings 148; Begin 1831; End 1978
DOI: 10.1594/pangaea.591913
title: Tree-ring measurements of Abies spectabilis (Silver fir) from sample GHOR-142

description: Species ABSB; No of rings 132; Begin 1847; End 1978
DOI: 10.1594/pangaea.591838
title: Tree-ring measurements of Pseudotsuga menziesii (Douglas-fir) from sample FRYDAY-22

description: Species PSME; No of rings 211; Begin 1773; End 1983
DOI: 10.1594/pangaea.591921
title: Tree-ring measurements of Abies spectabilis (Silver fir) from sample GHOR-51

description: Species ABSB; No of rings 238; Begin 1740; End 1977
DOI: 10.1594/pangaea.592097
title: Tree-ring measurements of Picea abies (Norway spruce) from sample GRIWASPC-171

description: Species PCAB; No of rings 126; Begin 1870; End 1995
DOI: 10.1594/pangaea.592105
title: Tree-ring measurements of Picea abies (Norway spruce) from sample GRIWASPC-291

description: Species PCAB; No of rings 193; Begin 1803; End 1995
DOI: 10.1594/pangaea.591854
title: Tree-ring measurements of Picea engelmannii (Engelmann spruce) from sample GALENA-102

description: Species PCEN; No of rings 322; Begin 1662; End 1983
DOI: 10.1594/pangaea.592110
title: Tree-ring measurements of Picea abies (Norway spruce) from sample GRIWASPC-322

description: Species PCAB; No of rings 153; Begin 1843; End 1995
DOI: 10.1594/pangaea.881713
title: Snow grain size and type measurements at ice stations during POLARSTERN cruise PS81 (ANT-XXIX/6, AWECS)

description: Measurements were obtained doing classical snow pits at all ice stations as well as additional stations served by helicopter during PS81 (ANT-29/6, AWECS). Snow pits were taken at representative locations of the floe. Measurements were done on an undisturbed shaded working wall of the snow pit.
DOI: 10.6084/m9.figshare.27043498
title: Supplementary Material for: Differential Item Functioning and Clinical Utility of the Subjective Memory Complaints Questionnaire in a Multi-Ethnic Cohort

description: Introduction: This study evaluated psychometric properties of the Subjective Memory Complaints Questionnaire (SMCQ) in a non-Hispanic White (NHW) and Mexican American (MA) sample from Texas in the United States. 
 Methods: Data were obtained from the Health and Aging Brain Study – Health Disparities (HABS-HD; N=1691, age=66.5±8.7, education=12.4±4.8, 60.6% female, 33.2% MA Spanish-speaking). Unidimensionality of the SMCQ was evaluated with confirmatory factor analysis. Differential item functioning (DIF) of the SMCQ was assessed across age, sex, education, and ethnicity/language using item response theory (IRT) / logistic ordinal regression. Associations of the SMCQ in relation to cognitive status, Alzheimer’s disease (AD) blood-based biomarkers, and psychological distress were examined. 
 Results: The SMCQ showed excellent fit in a single-factor model (CFI=0.97, TLI=0.97, RMSEA [95% CI] = 0.05 [0.04, 0.05], SRMR=0.07). Significant item-level DIF was detected by education level and ethnicity/language, but not by age or sex; when detected, DIF was not salient (i.e., adverse). The SMCQ was associated with greater psychological distress, worse Clinical Dementia Rating scores, and greater disease burden as measured by total tau and neurofilament light. 
 Conclusions: Practically negligible item-level bias was identified across education and ethnicity/language. Detected DIF can be described as benign, indicating that some items manifested differently between groups but had minimal impact on measurement properties. These results demonstrate that the SMCQ performs appropriately across demographic variables. Our findings also provide support for the associations of SMCQ scores with self-reported mood, cognitive status, and AD blood-based biomarkers.
DOI: 10.1594/pangaea.591977
title: Tree-ring measurements of Pinus sylvestris (Scotch pine) from sample GOTLAND-15

description: Species PISY; No of rings 119; Begin 1310; End 1428
DOI: 10.17632/8z96ds3jsp.1
title: UMATUG

description: UMATUG dataset contains the inertial data collected from a cohort of 69 experimental subjects during the execution of TUG (Timed-Up-and-Go) mobility tests.
DOI: 10.17632/rp8nthpx4f.1
title: Experiment files and measurement parameters for Bruker Invenio-R

description: In the experiment file (.xpm), the settings and values of the advanced parameters (e.g. resolution, sample scan time, background scan time, spectral range to be used.) are stored. Meanwhile, the phase resolution is stored in the FT. The optic parameters are shown in this experimental condition as well.
DOI: 10.17632/z6dfjh596r.2
title: WheelSimPhysio-2023

description: WheelSimPhysio-2023 dataset with implicit, explicit and performance data. The Implicit is the physiological responses throughout all the states of the experiment. Explicit measures are questionnaires and rating scales collected via the post-experience feedback phase. The performance metrics included joystick events, time to complete and the number of collisions that were captured inside the application. These metrics are widely used in the Quality of Experience evaluations.