cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.28328408
title: Statistical results of the repetitive sequences

description: Statistical results of the repetitive sequences
DOI: 10.6084/m9.figshare.28328444
title: Transposable elements annotation on HapA

description: Transposable elements annotation on HapA
DOI: 10.6084/m9.figshare.28328450
title: Transposable elements annotation on HapB

description: Transposable elements annotation on HapB
DOI: 10.6084/m9.figshare.28328498
title: Genome assembly data for HapA

description: Genome assembly data for HapA
DOI: 10.6084/m9.figshare.28328528
title: Genome assembly data for HapB

description: Genome assembly data for HapB
DOI: 10.4121/5c4ad375-4e88-402b-ac46-d27bb47250c3.v1
title: Data and codes underlying the publication: "CLEAR: a new discrete multiplicative random cascade model for disaggregating path-integrated rainfall estimates from commercial microwave links"

description: <strong>Description:</strong> This dataset contains all essential data and codes underlying the publication "CLEAR: a new discrete multiplicative random cascade model for disaggregating path-integrated rainfall estimates from commercial microwave links". Please see the README for more in-depth information about the content of each dataset and script.<br><strong>Datasets:</strong><br><strong>cml_metadata.csv:</strong> contains information about the frequency, polarization, and coordinates of CMLs.<br><strong>rainfall_field_rain_rates.zip:</strong> contains high-resolution simulated rainfall fields (210 events).<br><strong>rainfall_field_coordinates.csv: </strong>contains the coordinates of each grid cell in the simulated rainfall fields.<br><strong>virtual_rain_rates_along_CMLs.Rdata:</strong> contains the distributed and path-averaged rain rates along the CML paths.<br><strong>clearEnsemble.Rdata:</strong> contains 50 realizations of the CLEAR algorithm as well as the GMZ benchmark.<br><strong>w_table_all_events.Rdata: </strong>contains the empirical cascade weights needed to fit the standard deviation model of the cascade generator.<br><strong>Codes:</strong><br><strong>fun_CLEAR.R:</strong> Functions and helper functions for the CLEAR algorithm.<br><strong>fun_CML.R: </strong>Functions for processing CML data, also available at GitHub (https://github.com/fenclmar/Rcmlrain/tree/master)<br><strong>01_sample_estimation_empirical_weights.Rmd</strong>: R script for calculating empirical cascade weights.<br><strong>02_sample_estimation_fitting_SDmodel.Rmd</strong>: R script for fitting the cascade generator model.<br><strong>03_extract_virtual_rainfall_from_CMLs.Rmd:</strong> R script for extracting distributed and path-averaged rain rates from virtual rainfall fields.<br><strong>04_CLEAR_disaggregation.Rmd:</strong> R script for disaggregating and resampling path-averaged CML rain rates using the CLEAR and GMZ algorithms.
DOI: 10.5157/neps:sc4:14.0.0
title: Scientific Use File of  NEPS Starting Cohort 4: Grade 9
title: Scientific Use File der NEPS-Startkohorte 4: Klasse 9

description: The data from the Starting Cohort Grade 9 is available, free of charge, to individuals with a valid NEPS data usage contract via three modes of access – download, RemoteNEPS and on-site.
description: Die Daten der Startkohorte Klasse 9 stehen Personen mit einem gültigen NEPS-Datennutzungsvertrag kostenfrei über drei Zugangswege – Download, RemoteNEPS, On-site – zur Verfügung.
DOI: 10.5281/zenodo.14261299
title: Dataset: "Auditory Localization of Multiple Stationary Electric Vehicles"

description: This repository contains data accompanying the publication "Auditory Localization of Multiple Stationary Electric Vehicles", published in the Journal of the Acoustical Society of America (JASA))

The following abbreviations are used in the filenames and data

 




c
Combustion Noise


n
Noise AVAS


t
Two-Tone AVAS


m
Multi-Tone AVAS


le
Localization Error in °


lt
Localization Time in s


fl
Failed Localizations in %




 

The dataset contains:



stimuli.zip: Sound pressure of all evaluated stimuli as calibrated 32-bit float .wav files

trials.zip: Binaural sound pressure recordings of all 72 trials as calibrated 32-bit float .wav files, including parking lot background noise. These recordings were obtained by placing a HeadAcoustics HMS-V artificial head at the listening position. The files are named as TrialNr_Stim1Abbreviation_Stim1PositionInDegree_Stim2Abbreviation_Stim2PositionInDegree_Stim3Abbreviation_Stim3PositionInDegree.wav

experimentProcedure.mp4: Video showcasing the experiment procedure.

rawData.xlsx: The unprocessed experiment data. Each row represents one individual trial.

processedData.xlsx: The pre-processed experiment data for each participant. Each column represents the mean localization error (le), mean localization time (lt), or percentage of failed detections (fd) for a single stimulus. E.g., le_mn_m is the mean localization error of the Multi-Tone AVAS, averaged for all 4 trials where Multi-Tone AVAS and Noise AVAS were played simultaneously (TrialNr. 61-64, see Table in Paper). fl_ccc is the percentage of failed localizations for the Combustion Noise in the 4 trials where three combustion sounds were played simultaneously. For the statistical evaluations, participants "HZPS", "TGCI" and "XKOU" have been removed as outliers.


 

All stimuli are compliant with both UNECE R138 and US FMVSS 141 as illustrated in Figure 3 of the paper.
DOI: 10.5281/zenodo.6502467
title: Impact of the PSR J0740+6620 radius constraint on the properties of high-density matter: Neutron star equation of state posterior samples

description: Equation of state posterior samples associated with Legred et al., "Impact of the PSR J0740+6620 radius constraint on the properties of high-density matter," Phys. Rev. D 104, 063003 (2021); doi:10.1103/PhysRevD.104.063003 Three sets of 1e4 samples from the posterior distribution over equations of state are provided. These sets are drawn from the posterior conditioned on different combinations of radio pulsar observations, gravitational wave data, and NICER x-ray measurements. The data release contains the equation of state table and the corresponding table of neutron star observables for each sample. The posterior distributions one can generate from these samples approximate those plotted in Figs. 1-6 of the accompanying paper. Refer to the readme for usage information.
DOI: 10.5281/zenodo.7026209
title: LIGO/Virgo/KAGRA Observing Capabilities: Simulated Detections and Localization for O4 and O5 (October 2022 edition)

description: Simulated detections and localizations for LIGO, Virgo, and KAGRA
DOI: 10.6073/pasta/09228ba683a646d98cfbdddd564ce879
title: Overwintering Fires from 2009-2010 Burns near Fairbanks, Alaska: Post-fire Seedling Recruitment Collected 2023

description: This dataset contains data from adjacent overwintering and single-season burn sites. For the overwintering fires, we targeted locations that had burned in the summers of 2009, smouldered through the winter months, and reignited in 2010. Adjacent to these overwintering sites, we identified single-season burn sites from within portions of the 2009 fires that were unaffected by overwintering. A total of seven overwintering fire sites and four single-season fire sites were sampled. Within each site, three plots were established. Data inlcudes within plot measurments of post-fire seedling composition and density, residual SOL, burn depth estimated by black spruce adventitious roots, thaw depth, and pre-fire tree species composition and estimates of combustion. This is one of three packages from this project; this one contains the seedling recruitment data.
DOI: 10.6073/pasta/8e628fc7868b891774062ef5a3c166ba
title: Overwintering Fires from 2009-2010 Burns near Fairbanks, Alaska: Residual Soil Organic Layer Depth, Burn Depth and Thaw Depth Collected 2023

description: This dataset contains data from adjacent overwintering and single-season burn sites. For the overwintering fires, we targeted locations that had burned in the summers of 2009, smouldered through the winter months, and reignited in 2010. Adjacent to these overwintering sites, we identified single-season burn sites from within portions of the 2009 fires that were unaffected by overwintering. A total of seven overwintering fire sites and four single-season fire sites were sampled. Within each site, three plots were established. Data inlcudes within plot measurments of post-fire seedling composition and density, residual SOL, burn depth estimated by black spruce adventitious roots, thaw depth, and pre-fire tree species composition and estimates of combustion. This is one of three packages from this project; this one contains the soils data.
DOI: 10.6073/pasta/f8abfc1f0a71f19b9a11d57ca6aa09ab
title: Overwintering Fires from 2009-2010 Burns near Fairbanks, Alaska: Pre-fire Tree Species Density and Combustion Collected 2023

description: This dataset contains data from adjacent overwintering and single-season burn sites. For the overwintering fires, we targeted locations that had burned in the summers of 2009, smouldered through the winter months, and reignited in 2010. Adjacent to these overwintering sites, we identified single-season burn sites from within portions of the 2009 fires that were unaffected by overwintering. A total of seven overwintering fire sites and four single-season fire sites were sampled. Data inlcudes within plot measurments of post-fire seedling composition and density, residual SOL, burn depth estimated by black spruce adventitious roots, thaw depth, and pre-fire tree species composition and estimates of combustion. This is one of three packages from this project; this one contains the pre-fire tree species density and combustion data.
DOI: 10.6084/m9.figshare.28648871
title: Supplementary Material for: A novel PTCH1 non-canonical splice region variant associated with Gorlin syndrome: case report

description: Introduction: Gorlin syndrome (GS) is a rare autosomal dominant condition that predisposes to cutaneous basal cell carcinomas, jaw keratocysts, and skeletal anomalies. Most patients with GS have a heterozygous pathogenic variant in the PTCH1 gene although a minor subset have a pathogenic variant in the SUFU gene.
Case Presentation: We report a 34-year-old woman meeting clinical diagnostic criteria for GS and with an affected father who also meets diagnostic criteria. Both had a novel germline splice-region variant that was originally classified as a variant of uncertain significance.
Conclusion: We used cDNA analysis to provide additional evidence to allow re-classification of the non-canonical splice variant and provide a formal genetic diagnosis that can also be used for family planning and to screen at-risk relatives.
DOI: 10.13019/9mxe-t280
title: The Value of Water in US Agriculture: integrating spatially and temporally heterogeneous hydroclimatic and economic data

description: The gridded estimate of the value of water for irrigated agriculture in the United States for 75,651 grid cells (at 5 arc-min resolution) given the technology, prices, and weather conditions around the year 2010
DOI: 10.14284/542
title: Global Oceans and Seas, version 1
title: Globale Oceanen en Zeeën

description: Global Oceans and Seas represents the boundaries between the 10 main oceans and seas (Arctic Ocean, North and South Atlantic Ocean, North and South Pacific Ocean, Southern Ocean, Indian Ocean, Baltic Sea, Mediterranean Region, South China and Eastern Archipelagic Seas). The boundaries are largely based on the publication 'Limits of Oceans & Seas, Special Publication No. 23', published by the IHO in 1953. The dataset is available in World Geodetic System of 1984 (WGS84).
description: A full methodology of the creation of the dataset is provided on the website of Marine Regions. The dataset is derived from a set of demarcation lines between the oceans and seas. The main source of these lines were documented coordinates from the IHO 1953 publication. Where deemed necessary, connection lines and separation lines were added to complete the boundaries.
DOI: 10.17871/try.3
title: TRY - Categorical Traits Dataset

description: Categorical plant traits for species in the TRY database
DOI: 10.18128/d010.v10.0
title: IPUMS USA: Version 10.0

description: IPUMS USA contains harmonized census and American Community Survey (ACS) data from 1790 to the present. For the period 1850 to 1940, IPUMS includes 100% of individuals in the decennial censuses. For the period 1950 to 2010, we have public use samples of decennial censuses. For the period since 2000, IPUMS provides annual ACS public use samples. The available information in the censuses and ACS varies by year, but generally includes basic housing data (type of housing, household appliances, and housing characteristics), demographic data (age, race, sex, marital status, and relationship to the head of household), economic data (occupation, industry, income, work status), and other individual characteristics (migration, disability, veteran status). For the period 1790 to 1840, IPUMS includes household level records for 100% of households. IPUMS USA is available through an online data access system free of charge to registered users at usa.ipums.org.
DOI: 10.18128/d014.v3.0
title: IPUMS Ancestry Full Count Data: Version 3.0

description: IPUMS USA makes freely available to researchers worldwide complete count U.S. Census microdata through 1940. This dataset includes over 650 million individual-level (1850-1940) and 7.5 million household-level records (1790-1840). The microdata represents the fruition of longstanding collaborations between IPUMS and the nation's two largest genealogical organizations —Ancestry.com and FamilySearch— to leverage genealogical data for scientific purposes. This microdata collection is possible due to the donations of an unprecedented scale of digitized census data by both Ancestry.com and FamilySearch. Person-level microdata are available from 1850-1940. Complete count data for 1790-1840 are available at the household-level. In contrast to the 1850-1940 U.S. censuses, the 1790-1840 historical censuses named only the head of the household and tallied household totals attached to that record. IPUMS is continually improving the quality of these datasets by removing duplicate records, improving identification of household groups, applying numeric codes to the transcribed responses, etc. These improvements to the underlying data are periodically released via IPUMS USA. The variable VERSIONHIST identifies the public-release version of a dataset. Researchers can merge data between versions of the dataset using HISTID to link individual cases across versions, capturing any updates, corrections, or improvements that may have been applied to the data. All data are coded and can be downloaded via the IPUMS USA extract system. Restricted versions of these datasets are also available.
DOI: 10.5281/zenodo.13397296
title: DYNA: Disease-Specific Language Model for Variant Pathogenicity

description: For coding variant effect predictions (VEPs), our approach centers on clinical variant sets specifically related to inherited cardiomyopathies (CM) and arrhythmias (ARM). We utilize a pre-compiled dataset comprised of rare missense pathogenic and benign variants, categorized using a cohort-based approach for diseases such as cardiomyopathy and arrhythmias, as detailed in the previous report by Zhang et al. ClinVar CM and ARM datasets include all missense variants in CM and ARM, respectively, are extracted from ClinVar (Landrum et al.). In the realm of non-coding VEPs, our focus shifts to splicing-related variants, utilizing a dataset from the multiplexed assay for exon recognition by Chong et al., which highlights the significant impact of rare genetic variants on splicing disruptions. Similarly, the ClinVar Splicing dataset, compiled from ClinVar, encompasses all benign sequences and pathogenic variants pertinent to splicing.

 

For the ClinVar CM and ARM datasets, we translate the DNA sequences into protein sequences using the human genome assembly hg38 from https://www.ncbi.nlm.nih.gov/grc/human. We employed the GFF file, MANE.GRCh38.v1.1.ensembl\_genomic.gff.gz from https://www.ncbi.nlm.nih.gov/refseq/MANE, to annotate coding versus non-coding regions for each gene, as only coding DNA sequences are translated into proteins. Additionally, protein domains, cataloged in the Pfam database (Finn et al.), are essential for the functional characterization of proteins. These domains are identified by aligning the translated sequences to known domain structures, thereby facilitating deeper insights into protein function.
DOI: 10.5281/zenodo.14859064
title: Global Daily FFDI Projections from HadCM3C Perturbed Physics Ensemble - RCP8.5

description:  

This dataset contains daily McArthur Forest Fire Danger Index (FFDI) outputs derived from the HadCM3C Perturbed Physics Ensemble (PPE) under two future emissions scenarios. Data is split between two report, the RCP2.6 Data Repository here, while this one is the RCP8.5 Data Repository here.

Each repository includes NetCDF files (.nc.gz) representing daily FFDI values for 57 ensemble members. The data spans from 1 January 1970 to 22 December 2097 on a global 3.75° x 2.5° grid using the following projection: +proj=longlat +R=6371229


File Naming Convention

NetCDF files that contain daily FFDI values follow the structure: ffdi_joined_rcpX.x_XXXXX.nc.gz


Where:



rcpX.x refers to the emissions scenario (2.6 or 8.5).

XXXXX represents the unique ensemble member ID.


We also include three files that, for each ensemble member (first column), contain the start (2nd column) and end date (3rd column) of the 20-year running mean of the exceedance window of 1.5, 2 and 4°C global warming level. These filenames have the structure  rcpX_xgwl_Y_y.txt Where:



rcpXyx refers to the emissions scenario (2.6 or 8.5).

Y_y represents the global warming level above pre-industrial


Dataset Overview



Variables: Daily FFDI values calculated from model outputs of temperature, relative humidity, wind speed, and precipitation.

Temporal Coverage: 1970-01-01 to 2097-12-22.

Spatial Coverage: Global grid at 3.75° longitude x 2.5° latitude resolution.

Number of Ensemble Members: 57.


Methodology

The FFDI was computed using input variables from the HadCM3C PPE, which incorporates dynamic vegetation and carbon cycle feedbacks. This ensemble samples uncertainties in atmospheric feedbacks, land carbon processes, and ocean physics. The FFDI is calculated as:







 



FFDI = 1.25 * DF * exp[((T - H) / 30.0) + 0.0234 * V]



Where:



T = daily maximum temperature at 1.5m (°C),

H = daily relative humidity (%),

V = daily wind speed at 10m (km/h),

DF = drought factor, derived from soil moisture deficit and recent precipitation.


For a detailed explanation of the methodology and the specific parameters used, refer to our associated publication once published:DOI: xxxxx

Usage Notes



Data Formats: Files are compressed NetCDF (.nc.gz) and can be accessed using tools like Python's xarray, R's ncdf4, or command-line tools like ncdump.

Applications: This data is suitable for assessing future changes in fire weather conditions, global fire risk analysis, and climate impact assessments.


Citation

If you use this dataset, please cite:



Taylor et al. (2024). Limiting global warming to 1.5°C minimises projected global increases in fire weather days, but adaptation to new fire regimes is still needed. . DOI: xxxxx
DOI: 10.5281/zenodo.14860331
title: Global Daily FFDI Projections from HadCM3C Perturbed Physics Ensemble - RCP2.6

description:  

This dataset contains daily McArthur Forest Fire Danger Index (FFDI) outputs derived from the HadCM3C Perturbed Physics Ensemble (PPE) under two future emissions scenarios. This is the RCP2.6 Data Repository. You can find the RCP8.5 Data Repository here.

Each repository includes NetCDF files (.nc.gz) representing daily FFDI values for 57 ensemble members. The data spans from 1 January 1970 to 22 December 2097 on a global 3.75° x 2.5° grid using the following projection: +proj=longlat +R=6371229


File Naming Convention

NetCDF files that contain daily FFDI values follow the structure: ffdi_joined_rcpX.x_XXXXX.nc.gz


Where:



rcpX.x refers to the emissions scenario (2.6 or 8.5).

XXXXX represents the unique ensemble member ID.


We also include three files that, for each ensemble member (first column), contain the start (2nd column) and end date (3rd column) of the 20-year running mean of the exceedance window of 1.5, 2 and 4°C global warming level. These filenames have the structure  rcpX_xgwl_Y_y.txt Where:



rcpXyx refers to the emissions scenario (2.6 or 8.5).

Y_y represents the global warming level above pre-industrial


Dataset Overview



Variables: Daily FFDI values calculated from model outputs of temperature, relative humidity, wind speed, and precipitation.

Temporal Coverage: 1970-01-01 to 2097-12-22.

Spatial Coverage: Global grid at 3.75° longitude x 2.5° latitude resolution.

Number of Ensemble Members: 57.


Methodology

The FFDI was computed using input variables from the HadCM3C PPE, which incorporates dynamic vegetation and carbon cycle feedbacks. This ensemble samples uncertainties in atmospheric feedbacks, land carbon processes, and ocean physics. The FFDI is calculated as:







 



FFDI = 1.25 * DF * exp[((T - H) / 30.0) + 0.0234 * V]



Where:



T = daily maximum temperature at 1.5m (°C),

H = daily relative humidity (%),

V = daily wind speed at 10m (km/h),

DF = drought factor, derived from soil moisture deficit and recent precipitation.


For a detailed explanation of the methodology and the specific parameters used, refer to our associated publication once published:DOI: xxxxx

Usage Notes



Data Formats: Files are compressed NetCDF (.nc.gz) and can be accessed using tools like Python's xarray, R's ncdf4, or command-line tools like ncdump.

Applications: This data is suitable for assessing future changes in fire weather conditions, global fire risk analysis, and climate impact assessments.


Citation

If you use this dataset, please cite:



Taylor et al. (2024). Limiting global warming to 1.5°C minimises projected global increases in fire weather days, but adaptation to new fire regimes is still needed. . DOI: xxxxx
DOI: 10.5517/ccs0mhw
title: CCDC 715588: Experimental Crystal Structure Determination

description: Related Article: Le-Qing Fan, Ji-Huai Wu|2008|Z.Kristallogr.-New Cryst.Struct.|223|349|
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.6084/m9.figshare.27239613
title: 100-m resolution surface soil moisture data during the thawing season on the Qinghai-Tibet Plateau

description: Based on Sentinel-1&2 and measured SM data, we developed an SM retrieval algorithm for the ascending and descending orbits. Then, 100-m-resolution SM spatial data were generated for the thawing season of 2017–2023 in the SAR signal-applicable area on the QTP. The soil moisture spatial dataset is saved in GeoTiff format; The naming convention is "SM"+"year"+"A (ascending orbit)/D (descending orbit)", for example, SM_2017_A, which represents the soil moisture obtained by using the ascending orbit algorithm to invert the thawing season in 2017. In addition, We published in situ monitoring data and soil moisture sampling data during the thawing season in the QTP, as well as photographs of the sampling environments.
DOI: 10.6084/m9.figshare.27874275
title: Supplementary Tables and Source Data

description: Supplementary tables accompanying the paper "Comprehensive evaluation of the capacities of microbial cell factories"
DOI: 10.6084/m9.figshare.27926592
title: Global hotspots of butterfly diversity are threatened in a warming world

description: Code to analyze niche loss (contemporary - future temperatures) and the proportion of hotspots in mountains.