cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.6760259
title: Combined ground-based total ozone data at three Norwegian sites (2000 to 2020)

description: Combined total column ozone (TCO) at three Norwegian sites (Oslo, Andøya, Ny-Ålesund), using three measurement techniques (Brewer (DS and GI), SAOZ, GUV). The daily means are composed of noon-averages (+-2h around local noon) for Brewer (DS and GI) and GUV, and of sunrise- and sunset averages for SAOZ. In Oslo and Andøya, Brewer DS measurements build the baseline, and missing measurement days are then filled with Brewer GI data and then with GUV. In Ny-Ålesund, SAOZ measurements build the baseline, and missing measurement days are filled with Brewer DS data (starting in 2013) and GUV. This dataset has been used in Bernet et al. (2022). The initial data of each of the instruments are available at: Brewer DS (daily means): https://woudc.org Brewer GI: https://doi.org/10.5281/zenodo.6760244 SAOZ: www.ndacc.org GUV: https://doi.org/10.5281/zenodo.4773478 Responsible institute: NILU - Norwegian Institute for Air Research Bernet, L., Svendby, T., Hansen, G., Orsolini, Y., Dahlback, A., Goutail, F., Pazmiño, A., Petkov, B., and Kylling, A., Total ozone trends at three northern high-latitude stations, 2022.
DOI: 10.5281/zenodo.7269999
title: High-resolution digital elevation models and orthomosaics generated from historical aerial photographs (since the 1960s) of the Bale Mountains in Ethiopia

description: This dataset contains the results of photogrammetric processing (Digital Elevation Models, Orthomosaics and subset data used for volumetric calculation and visualization) named: “DEM_1967.7z”: inside the zipped folder “1967_DEM.tif” (digital elevation model produced for the year 1967), “DEM_1984.7z”: inside the zipped folder “1984_DEM.tif” exist (digital elevation model produced for the year 1984). In addition, under “1967_Orthomosaic.7z" and "1984_Orthomosaic.7z” zipped folders, there are orthomosaic files produced namely, “1967_orthomosaic.tif” and "1984_orthomosaic.tif” for the year 1967 and 1984, respectively. The DEMs and Orthomosaics subset from the results for sites (data example 1 and data example 2) reside under "Data_Examples.zip". Accuracy of the resulted data were assessed and the extracted elevation values are under "Accuracy_assessment.zip". All DEMs and Orthomosaics are in GeoTIFF format in the Adindan UTM Zone 37 N (EPSG: 20137) projected coordinate system. Potential application of the presented dataset include: 1. watershed management 2. analyses of historical landscape change 3. detailed mapping and analyses of geological and archaeological features, as well as natural resources 4. analyses of geomorphological processes 5. socioecological patterns and dynamics 6. modelling and planning for telecommunications 7. biodiversity research. The inputs for the above resulted DEMs and Orthomosaics are found under Zenodo repository "10.5281/zenodo.7271617".
description: This research was funded by the German Research Council (DFG) in the framework of the joint Ethio-European Research Unit 2358 "The Mountain Exile Hypothesis: how humans benefited from and re-shaped African high-altitude ecosystems during Quaternary climatic changes". We thank the Geospatial Information Institute of Ethiopia for provided us the necessary data and documents; and the Ethiopian Wildlife Conservation Authority, the Philipps University of Marburg, the Ethiopian Wolf Project, and the Bale Mountains National Park for their cooperation and permission to conduct field work. We also very much appreciate the support of Mohammed Kedir, Hussein, Gash Kasim, Awol Assefa, Sofia, Wege Abebe, and Katinka Thielsen, without whom it would not have been possible to do the field work in the Bale Mountains. We thank Spaska Forteva for her help in arranging lab facilities.
DOI: 10.5281/zenodo.7271617
title: High-resolution digital elevation models and orthomosaics generated from historical aerial photographs (since the 1960s) of the Bale Mountains in Ethiopia

description: This dataset contains the inputs used for Structure from Motion Multiview Stereo photogrammetry processing for the year 1967 and 1984 i.e Unprocessed scanned historical aerial Photographs, camera position coordinates, flight index and Ground Control Points. All the scanned historical aerial photographs data are in TIFF format except four photographs in JPEG format under a zipped folder ("1967_Scanned_HAPs_Part1.7z and 1967_Scanned_HAPs_Part2.7z" for the 1967 Historical Aerial Photographs and "1984_Scanned_HAPs_Part1.7z and 1984_Scanned_HAPs_Part2.7z" for the 1984 Historical Aerial Photographs). The "Flight_Index.Zip" contains shapefiles of the camera position and polygon of consecutive aerial photograph index; "GCP.Zip" contains text file of the GCPs used for the 1967 and 1984; and "Camera_Position.Zip" contains the file of the camera position (Label, Easting, Northing and Altitude) of each historical aerial photographs. The results of the above dataset could be accessible on Zenodo repository "10.5281/zenodo.7269999". Anyone can reuse the presented dataset to produce DEMs and Orthomosaics; and use for the following application areas: 1. watershed management 2. analyses of historical landscape change 3. detailed mapping and analyses of geological and archaeological features, as well as natural resources 4. analyses of geomorphological processes 5. socioecological patterns and dynamics 6. modelling and planning for telecommunications 7. biodiversity research.
description: This research was funded by the German Research Council (DFG) in the framework of the joint Ethio-European Research Unit 2358 "The Mountain Exile Hypothesis: how humans benefited from and re-shaped African high-altitude ecosystems during Quaternary climatic changes". We thank the Geospatial Information Institute of Ethiopia for provided us the necessary data and documents; and the Ethiopian Wildlife Conservation Authority, the Philipps University of Marburg, the Ethiopian Wolf Project, and the Bale Mountains National Park for their cooperation and permission to conduct field work. We also very much appreciate the support of Mohammed Kedir, Hussein, Gash Kasim, Awol Assefa, Sofia, Wege Abebe, and Katinka Thielsen, without whom it would not have been possible to do the field work in the Bale Mountains. We thank Spaska Forteva for her help in arranging lab facilities.
DOI: 10.6084/m9.figshare.25998949
title: Genome assembly and annotation files of Rosa laevigata

description: 基因组组装（R.laevigata.genome.fasta.gz）和注释文件（R.laevigata.cds.fasta.gz、R.laevigata.pep.fasta.gz、R.laevigata.gff3.gz和R.laevigata.repeat.gff.gz)<i>.</i>
DOI: 10.6084/m9.figshare.28239221
title: Supplementary Material for: Analysis of Functional Cis-regulatory Elements Reveals Novel Transcriptional Regulatory Mechanisms in Gonadal Development

description: Recent studies have demonstrated that the production of bidirectional enhancer-derived transcripts (eRNAs) is a characteristic of an active Cis-regulatory element (CRE). Higher levels of eRNA synthesis correlate with the activation of histone modifications, a potentially valuable tool for deciphering the complexity of the gene regulatory network. 
To understand the changes of CREs during gonadal development in mice, we collected gonadal WT1-positive cells from the piggyBac-Wt1-mCherry-2A-EGFP (PBWt1-RG) reporter strain at E13.5, E16.5, and P0 in both sexes and conducted Cap Analysis of Gene Expression analysis (CAGE) which is capable to capture transcriptional starting site (TSS). We compared the levels of intergenic bidirectional RNA, i.e, potentially eRNA, according to sex at each stage (testis somatic cells vs ovary somatic cells at E13.5, E16.5, and P0) and stage in each sex (E13.5 vs E16.5, E16.5 vs P0, and E13.5 vs P0 in testis somatic cells or ovary somatic cells). Intergenic RNAs with significant changes (|Log2FC| &gt; 1, p &lt; 0.05) were selected.
The TSS profile of intergenic RNA changed more profoundly in testis somatic cells than in ovary somatic cells, suggesting embryonic testicular development is driven by larger changes in a transcriptional regulatory network than ovarian development. Based on the profiles of the predicted transcription factors (TFs) that would bind to the active CREs during gonadal development, the NR4A, EGR, and TCF3 families would be novel TFs to play pivotal roles in gonadal development. 
Identifying active CREs using eRNAs would provide a means to comprehensively understand the transcriptional regulatory system, leading to valuable insights into the gonadal development of male and female individuals.
DOI: 10.6084/m9.figshare.28239338
title: Supplementary Material for: Genetic associations between obesity and brain cortical thickness: combined genetic correlation, multi-trait meta- analysis and Mendelian randomization

description: Introduction: Obesity may lead to cognitive impairment and neuropsychiatric disorders, which are associated with changes in the brain cortical structure, particularly in cortical thickness. However, the exact genetic association between obesity and brain cortical thickness remains inconclusive. We aimed to identify the relationship between obesity-related traits [body mass index (BMI), waist-hip ratio (WHR), and waist-hip ratio adjusted for BMI (WHRadjBMI)] and brain cortical thickness. 
Methods: Leveraging summary statistics of large-scale GWAS(s) conducted in European-ancestry populations on BMI(N=806,834), WHR(N=697,734), WHRadjBMI (N=694,649), and brain cortex thickness (N=33,709), we performed GWAS combining genetic correlation, multi-trait meta-analysis and Mendelian randomization analysis. 
Results: Our findings revealed a strong genetic correlation between BMI and brain cortical thickness(rg=-0.0542, P=0.0435), and a significant result was also observed for WHR and brain thickness (rg=-0.0744, P=0.009). In addition, we identified three loci between obesity-related traits. MR analysis supported the causal role of BMI (IVW beta=-0.006, 95% CI=-0.011– -3.85E-04；weighted median beta=-0.006, 95% CI=-0.013– -0.002), WHR (IVW beta=-0.011, 95% CI=-0.018– -0.005; weighted median beta=-0.008, 95% CI=-0.018– -0.003) and WHRadjBMI (IVW beta =0.011 95% CI=-0.018– -0.005; weighted median beta=-0.008, 95% CI=-0.018– -0.002) in brain cortical thickness. 
Conclusion: This study has shown that genetically predicted obesity-related traits have a causal relationship with reduced cortical thickness. These findings provide genetic evidence for a link between obesity and structural changes in the brain, and suggest that obesity may be associated with neuropsychiatric disorders by affecting brain structure, particularly cortical thickness.
DOI: 10.17863/cam.95058
title: Address dictionary for subdivisions of consistent Scottish registration district boundaries in larger towns in ICeM, 1851-1901

description: This dataset provides an address dictionary for subdivisions of consistent Scottish registration district boundaries for each of the five largest towns in Scotland on separate worksheets: Aberdeen, Dundee, Edinburgh, Glasgow, and Paisley. More information is provided in the README document on the first worksheet in the Excel file.
DOI: 10.22008/fk2/j1fumq
title: Data from sediment lake cores from Saqqaq, West Greenland

description: Data from lake sediment core scanning (optical, MS, X-ray, XRF) and AMS radiocarbon dating result certificates. Analysed in: Korsgaard et al.: Evidence of middle Holocene landslide-generated tsunamis recorded in lake sediments from Saqqaq, West Greenland, Natural Hazards and Earth Systems Science, 2024.
DOI: 10.5066/p97waze5
title: 2022 Release - North American Breeding Bird Survey Dataset (1966-2021)

description: The 1966-2021 North American Breeding Bird Survey (BBS) dataset contains avian point count data for more than 700 North American bird taxa (species, races, and unidentified species groupings). These data are collected annually during the breeding season, primarily in June, along thousands of randomly established roadside survey routes in the United States and Canada. Routes are roughly 24.5 miles (39.2 km) long with counting locations placed at approximately half-mile (800-m) intervals, for a total of 50 stops. At each stop, a citizen scientist highly skilled in avian identification conducts a 3-minute point count, recording all birds seen within a quarter-mile (400-m) radius and all birds heard. Surveys begin 30 minutes before local sunrise and take approximately 5 hours to complete. Routes are sampled once per year, with the total number of routes sampled per year growing over time; just over 500 routes were sampled in 1966, while in recent decades approximately 3000 routes have been sampled annually. No data are provided for 2020. BBS field activities were cancelled in 2020 because of the coronavirus disease (COVID-19) global pandemic and observers were directed to not sample routes. In addition to avian count data, this dataset also contains survey date, survey start and end times, start and end weather conditions, a unique observer identification number, route identification information, and route location information including country, state, and BCR, as well as geographic coordinates of route start point, and an indicator of run data quality.
DOI: 10.5255/ukda-sn-852232
title: 1851 England and Wales census parishes, townships and places
DOI: 10.5281/zenodo.10473597
title: AddressGB: Geo-coded British Census Addresses, 1851-1911

description: Links c. 121 million individuals from historic British census data for 1851 to 1911 (I-CeM) to modern road data (OS Open Roads) and historic street/placenames (GB1900).

Enables researchers to map historic British census data at street and property level. This provides a much higher spatial resolution than existing approaches that aggregate individuals to parishes or census registration sub-districts.

For full documentation see the README. For the method, see CensusGeocoder. 

For each census year (e.g. England & Wales, 1851), it contains the following files:

GIS Data



a modified version of GB1900, with GB1900 points assigned to historic administrative boundaries (gb1900.tsv)

a modified version of OS Open Roads, with roads segmented by relevant historic administrative boundaries (osopenroads.tsv)


Lookup Data



a lookup file linking individuals in I-CeM to the modified version of GB1900 (gb1900_recidlkup.tsv)

a lookup file linking individuals in I-CeM to the modified version of OS Open Roads (osopenroads_recidlkup.tsv)


Metadata

A metadata file for each file type, specifying field type and number of records.

Licence / Other Info

AddressGB contains modified data from GB1900. It acknowledges the Great Britain Historical GIS, the GB1900 partners and volunteers, and makes the data available on the same Creative Commons Attribution Share Alike Licence as per the GB1900 project site.

AddressGB contains no named individuals and no addresses from I-CeM. It only contains the unique person identifiers (RecID) to link entries to I-CeM. For more information on I-CeM, see https://www.campop.geog.cam.ac.uk/research/projects/icem/.
DOI: 10.5281/zenodo.10473644
title: I-CeM Scotland Parish GIS Lookup Tables, 1851-1901

description: Enables Scottish I-CeM Data 1851-1901 to be mapped at parish level by providing lookup tables linking the ParID field in I-CeM to two different Scottish historic parish boundary GIS datasets: National Records of Scotland - Historic Civil Parishes pre-1891 and National Records of Scotland - Civil Parishes (post 1891).
DOI: 10.5281/zenodo.10983098
title: Analysis of aerosol optical depth variation at Zhongshan Station in Antarctica
DOI: 10.5281/zenodo.3242143
title: COSMOS real galaxy dataset

description: Real galaxy dataset extracted from the HST COSMOS survey for use with GalSim.
DOI: 10.5281/zenodo.3275625
title: Pulse Wave Database (PWDB): A database of arterial pulse waves representative of healthy adults

description: <strong>Overview</strong> This database of simulated arterial pulse waves is designed to be representative of a sample of pulse waves measured from healthy adults. It contains pulse waves for 4,374 virtual subjects, aged from 25-75 years old (in 10 year increments). The database contains a baseline set of pulse waves for each of the six age groups, created using cardiovascular properties (such as heart rate and arterial stiffness) which are representative of healthy subjects at each age group. It also contains 728 further virtual subjects at each age group, in which each of the cardiovascular properties are varied within normal ranges. This allows for extensive <em>in silico</em> analyses of haemodynamics and the performance of pulse wave analysis algorithms. <strong>Data Description</strong> The database contains the following waves: arterial flow velocity (U), luminal area (A), pressure (P), and photoplethysmogram (PPG). These pulse waves are provided at a range of measurement sites, including: aorta (ascending and descending) carotid artery brachial artery radial artery finger femoral artery The data are available in three formats: Matlab, CSV and WaveForm Database (WFDB) format. Further details of the formatting and contents of each file are available at: https://github.com/peterhcharlton/pwdb/wiki/Using-the-Pulse-Wave-Database <strong>Accompanying Publication</strong> The database is described in the following publication: Charlton P.H., Mariscal Harana, J., Vennin, S., Li, Y., Chowienczyk, P. & Alastruey, J., “Modelling arterial pulse waves in healthy ageing: a database for in silico evaluation of haemodynamics and pulse wave indices,” [under review] Please cite this publication when using the database. <strong>Further Information</strong> Further information on the Pulse Wave Database project can be found at: <em>https://peterhcharlton.github.io/pwdb/</em> <strong>Version History</strong> <strong>Version 0.1.0 : provided for peer review of "Modelling arterial pulse waves in healthy ageing: a database for in silico evaluation of haemodynamics and pulse wave indices"</strong> <strong>Version 0.2.0 : provided for peer review of "Modelling arterial pulse waves in healthy ageing: a database for in silico evaluation of haemodynamics and pulse wave indices"</strong>
description: This work was supported by the British Heart Foundation [PG/15/104/31913], the Wellcome EPSRC Centre for Medical Engineering at King's College London [WT 203148/Z/16/Z], and the King's College London & Imperial College London EPSRC Centre for Doctoral Training in Medical Imaging [EP/L015226/1]. The authors acknowledge financial support from the Department of Health through the National Institute for Health Research (NIHR) Cardiovascular MedTech Co-operative at Guy's and St Thomas' NHS Foundation Trust (GSTT). The views expressed are those of the authors and not necessarily those of the BHF, Wellcome Trust, EPSRC, NIHR or GSTT.
DOI: 10.5281/zenodo.5112903
title: Global canopy top height estimates from GEDI LIDAR waveforms for 2019

description: Canopy top height (RH98) is estimated from GEDI L1B waveforms globally between 51.6° N & S. The map is based on the first four months of L1B Version 1 data (April-July 2019). The sparse footprint level predictions are averaged at 0.5 degree resolution (approx. 55 km raster cells at the equator) to obtain a dense map. We refer to the original research article below for further information, especially on how the predictions were filtered before the aggregation. The footprint level RH98 predictions are stored in hdf5 files corresponding to the orbit files of the GEDI L1B Version 1 data. The file load_pred_RH98_files.py contains more information on how to parse and load the prediction orbit files. <strong>GEDI mission website</strong>: https://gedi.umd.edu/. <strong>Citation: </strong>Use of these data require citation of this dataset and the original research article. These citations are as follows: Lang, N., Kalischek, N., Armston, J., Schindler, K., Dubayah, R., & Wegner, J. D. (2022). Global canopy height regression and uncertainty estimation from GEDI LIDAR waveforms with deep ensembles. <em>Remote Sensing of Environment</em>, <em>268</em>, 112760. Lang, Nico, Kalischek, Nikolai, Armston, John, Schindler, Konrad, Dubayah, Ralph, & Wegner, Jan Dirk. (2021). Global canopy top height estimates from GEDI LIDAR waveforms for 2019 (1.1) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.5704852
description: The project received funding from Barry Callebaut Sourcing AG, as part of a Research Project Agreement, and funding from NASA contract #NNL 15AA03C to the University of Maryland for the development and execution of the GEDI mission (Dubayah, Principal Investigator).
DOI: 10.5281/zenodo.5151503
title: Crustal structure of the Volgo-Uralian subcraton revealed by inverse and forward gravity modeling [dataset]

description: This collection contains data that were used to build a 3D crustal model of the Volgo-Uralian subcraton with both inverse and forward gravity modeling. The dataset is subdivided into two folders: (1) Gravity field inversion; (2) Forward gravity modeling.
DOI: 10.5281/zenodo.7147906
title: MapReader_Data_SIGSPATIAL_2022

description: <strong>MapReader in GeoHumanities workshop (SIGSPATIAL 2022): Gold standards and outputs</strong> Refer to: <br> https://github.com/Living-with-machines/MapReader/wiki/GeoHumanities-workshop-in-SIGSPATIAL-2022
DOI: 10.5281/zenodo.7259017
title: EUPollMap: The European atlas of contemporary pollen distribution maps

description: This atlas is an ensemble of pollen-presence digital maps for Europe including 194 taxa from the Eurasian Modern<br> Pollen Database (EMPD v2). The pollen presence is estimated using Kriging over a regular 25-km grid and freely shared as multivariate ESRI GeoTIFF file for every taxa together with the related point dataset as ESRI Shapefile. The GeoTIFF maps contain the probabilistic pollen-presence estimation, a discrete map of the pollen presence, and an uncertainty map derived from the Kriging variance. This dataset is released with the following publication:<br> Oriani F., Mariethoz G., Chevalier M., EUPollMap: The European atlas of contemporary pollen distribution maps derived from an integrated Kriging interpolation approach, submitted to Earth System Science Data.
DOI: 10.5281/zenodo.7642554
title: Arctic campaign 2020 - YAK-AEROSIB - trace gas measurements

description: Trace gas measurements during the 2020 YAK-AEROSIB follow-up campaign
description: {"references": ["Belan, B. D., et al., Atmos. Meas. Tech., 15, 3941\u20133967, https://doi.org/10.5194/amt-15-3941-2022, 2022.", "Narbaud, C., et al., Atmos. Chem. Phys. Discuss. [preprint], https://doi.org/10.5194/acp-2022-720, 2022.", "Paris, J. D., et al., B. Am. Meteorol. Soc., 91, 625\u2013641, 2010"]}