cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3886/icpsr05407.v1
title: Statistics of Deadly Quarrels, 1809-1949
title: Version 1

description: This study contains data on 779 dyadic fatal quarrels for the period 1809-1949. The study represents one of the earlier attempts at quantification of historical conflict behavior. A dyadic deadly quarrel is a situation involving a pair of opponents or belligerents which causes death to humans. Each quarrel is identified by its beginning date and magnitude. The magnitude of a quarrel is measured by the logarithm to the base 10 of the number of deaths. The range of magnitude of quarrels in this study is from 2.50 to 7.50, the latter representing the figure for nations involved in World War II. For each quarrel, the nominal variables include the type of quarrel, as well as political, cultural, and economic similarities and dissimilarities between the pair of combatants.
description: Datasets: 
 
 DS1: Dataset
description: The column locations provided in the codebook do not represent the current structure of the data. Users should refer to the SPSS or SAS setup files provided with the ASCII data for the correct column locations for the data.
description: A total of 779 dyadic, fatal quarrels in the period 1809-1949.
DOI: 10.5067/terra/mopitt/mop02t_l2.008
title: MOPITT Derived CO (Thermal Infrared Radiances) V008
DOI: 10.5281/zenodo.10472560
title: Significant Deep (200-2000 cm) Soil Water Use Does Not Compensate Drought Stress Effect on Photosynthesis in Dryland Tree Plantations

description: A database describing deep soil water uptake in plantations on the Loess Plateau
DOI: 10.5281/zenodo.10605350
title: Deciphering Subduction Polarity during Ancient Arc-Continent Collisions

description: File contains data for all models.
DOI: 10.5281/zenodo.10655474
title: Sex chromosomes and hormones independently influence healthy brain development but act similarly after cranial radiation

description: Description

Biological sex influences prevalence of developmental disorders through sex hormones and sex chromosomes. However, our understanding of their impacts in neurodevelopment and response to injury remains limited. In this project, we use high resolution magnetic resonance imaging (MRI) to investigate the four core genotype mouse model (FCG) that separates the influences of sex hormones and sex chromosomes during normal brain development and after cranial radiation therapy. 

Sex differences are attributed to either sex hormones or sex chromosomes. This can be distinguished by the FCG model which decouples the sex determining region (SRY) from the Y chromosome by moving SRY onto an autosome. This gives us four core sex genotypes: XX NULL, XY NULL, XX SRY, and XY SRY.

This dataset represents the most comprehensive mouse brain imaging study employing the FCG model to date with 5 timepoints (P14, P23, P42, P63, P98), Ccl2 wildtype (+/+) and knockouts (-/-), irradiation (7Gy) and sham (0Gy) mice. All in all, a total of 1071 images! The results presented here is published in PNAS.

In vivo MRI scans were obtained using a 7-T MRI scanner (Bruker BioSpin, Ettlingen, Germany) equipped with four cryocoils for simultaneous imaging of four mice. The scans were performed with the following settings: T1-weighted, 3D-gradient echo sequence, 75μm isotropic resolution, TR=26ms, TE=8.25ms, flip angle=26°, field of view=25×22×22mm, and matrix size=334×294×294.

All structural MR images are stored in images.tar.gz. Images were segmented and registered using an automated pipeline which are stored in labels.tar.gz. The consensus average and labels are final_average.mnc and final_labels.mnc, respectively. Extracted structure volumes alongside the metadata are included in df_micevolumes.csv. Structural MRIs are in MINC format and the readme.txt provides further information on this dataset. 

The authors express their sincere gratitude for the research funding recieved from the Canadian Institutes of Health Research (158622, 168037) and the Ontario Institute for Cancer Research (IA-024) with funding from the Government of Ontario and Restracomp from the SIckKids Research Training Centre.

Publication: https://www.pnas.org/doi/10.1073/pnas.2404042121

Code/Software 

MINChttps://www.bic.mni.mcgill.ca/ServicesSoftware/MINC

RMINChttps://github.com/Mouse-Imaging-Centre/RMINC

PydPiperhttps://github.com/Mouse-Imaging-Centre/pydpiper/tree/v2.0.19.1
DOI: 10.5281/zenodo.10724917
title: Simulations and Analysis In Support of "Has Reducing Ship Emissions Brought Forward Global Warming?"

description: Model Simulations and Analysis Scripts used in GRL submitted manuscript
DOI: 10.5281/zenodo.11513606
title: PSP-optimization-code-for-WRR
DOI: 10.5281/zenodo.11513607
title: PSP-optimization-code-for-WRR
DOI: 10.5281/zenodo.12748879
title: Data and code to reproduce: Host and parasite intervality in differentially human-modified habitats

description: Data and code in:

Llopis-Belenguer, Feijen, Morand, Chaisiri, Ribas and Jokela (2024) Host and parasite intervality in differentially human-modified habitats. Oikos. DOI: 10.1111/oik.10446
DOI: 10.5281/zenodo.12780083
title: Dataset for 'Chaperone Solvent Assisted Assembly of Polymers at the Interface of Two Immiscible Liquids'

description: The authors acknowledge financial support from the Research Grants Council of Hong Kong (Project No.21304421), the National Natural Science Foundation of China (Project No. 22003053), the Natural Science Foundation of Guangdong Province, China (Project No. 2023A1515011457), the Natural Science Foundation of Sichuan Province, China (Project No. 2023NSFSC0312), CityU Strategic Interdisciplinary Research Grant (Project No. 2020SIRG035), and Hong Kong Institute for Advanced Study. The authors also thank OpenAI for editing.
DOI: 10.5281/zenodo.12795515
title: Paleomagnetic data of the Bozgush Mountains
DOI: 10.5281/zenodo.2525553
title: Soil organic carbon content in x 5 g / kg at 6 standard depths (0, 10, 30, 60, 100 and 200 cm) at 250 m resolution

description: Soil organic carbon content in × 5 g / kg (to convert to % divide by 2) at 6 standard depths (0, 10, 30, 60, 100 and 200 cm) at 250 m resolution. The maps are provided using Byte type to significantly reduce file size. Predicted from a global compilation of soil points. Also available for download: soil organic stock maps in in kg / m<sup>2</sup> (https://doi.org/10.5281/zenodo.1475453) and bulk density maps in kg / m<sup>3</sup> (https://doi.org/10.5281/zenodo.1475970). Processing steps are described in detail <strong>here</strong>. Antarctica is not included. To access and visualize maps use: OpenLandMap.org If you discover a bug, artifact or inconsistency in the maps, or if you have a question please use some of the following channels: Technical issues and questions about the code: https://gitlab.com/openlandmap/global-layers/issues General questions and comments: https://disqus.com/home/forums/landgis/ All files internally compressed using "COMPRESS=DEFLATE" creation option in GDAL. File naming convention: sol = theme: soil, organic.carbon = variable: soil organic carbon content in x 5 g / kg, usda.6a1c = determination method: laboratory method code, m = mean value, 250m = spatial resolution / block support: 250 m, b10..10cm = vertical reference: 10 cm depth below surface, 1950..2017 = time reference: period 1950–2017, v0.2 = version number: 0.2,
description: {"references": ["USDA-NRCS, (2014) Laboratory Methods Manual (SSIR 42). U.S. Department of Agriculture, Natural Resources Conservation Service, National Soil Survey Center.", "Hengl T, Mendes de Jesus J, Heuvelink GBM, Ruiperez Gonzalez M, Kilibarda M, Blagoti\u0107 A, et al. (2017) SoilGrids250m: Global gridded soil information based on machine learning. PLoS ONE 12(2): e0169748.", "Hengl, T., MacMillan, R.A., (2019). Predictive Soil Mapping with R. OpenGeoHub foundation, Wageningen, the Netherlands, 370 pages, www.soilmapper.org, ISBN: 978-0-359-30635-0."]}
DOI: 10.5281/zenodo.4695361
title: Historical drought in Barcelona (Spain) dataset

description: Monthly drought index, yearly drought index and yearly weighted drought index in Excel sheets.
description: This dataset accompanies the following publication: GOROSTIZA, S.; MARTÍ-ESCAYOL, M.A. and BARRIENDOS, M. (2021). "Controlling water infrastructure and codifying water knowledge: institutional responses to severe drought in Barcelona (1620–1650)". Journal: Climate of the Past.
DOI: 10.5281/zenodo.4764039
title: An English-Luganda parallel corpus

description: This English-Luganda parallel sentence corpus was created by a team of researchers from AI & Data science research Lab at Makerere University with a team of Luganda teachers, students and freelancers. The collaborative work which involves generating English sentences under CC-0 and translating these sentences using a crowdsourcing, iterative and opensource approach was done using Pontoon an opensource Translation Management System built by Mozilla. Acknowledgment: This project was supported by the AI4D language dataset fellowship through K4All and Zindi Africa.
DOI: 10.5281/zenodo.8289507
title: Dataset for: Enhanced tameness by Limosilactobacillus reuteri from gut microbiota of selectively bred mice

description: This dataset comprises a non-redundant set of 374 metagenome-assembled genomes (MAGs), generated from the shotgun metagenomic data of faecal samples from 80 mice. Among these, 27 MAGs have been identified as novel within the mice gut microbiome. Additionally, the code utilized for the generation of these MAGs has been included with the dataset for reference and reproducibility. All raw shotgun metagenomic sequencing datasets generated in this study are available in the NCBI under BioProject PRJDB15857 (https://www.ncbi.nlm.nih.gov/bioproject/?term=PRJDB15857), with BioSample accession numbers from SAMD00614304 to SAMD00614383 and SRA accession numbers from DRR480456 to DRR480535.
DOI: 10.5440/1783192
title: Leaf structural and chemical traits, and vegetation temperature and height, Seward Peninsula, Alaska, 2019.

description: Leaf nitrogen and carbon content, leaf water content (LWC) and leaf mass per area (LMA) of leaves, and vegetation height and temperatures sampled from locations on the Teller MM 27, Kougarok MM 64 and Kougarok MM 80 NGEE Arctic sites, Seward Peninsula, Alaska. These data were collected in support of ongoing NASA ABoVE AVIRIS data synthesis work. Samples were collected in July 2019 from 24 species. This data package includes leaf sample information and vegetation trait data (*.csv). Metadata files include data descriptions (_dd.csv) for tabular data and a key to species symbols used in data files. All included files are listed and described in NGA210_flmd.csv. See data package NGA212 "Full spectrum 350-2500 nm leaf and canopy spectral reflectance, Seward Peninsula, Alaska, 2019" for linked spectral reflectance data. The Next-Generation Ecosystem Experiments: Arctic (NGEE Arctic), was a research effort to reduce uncertainty in Earth System Models by developing a predictive understanding of carbon-rich Arctic ecosystems and feedbacks to climate. NGEE Arctic was supported by the Department of Energy's Office of Biological and Environmental Research. The NGEE Arctic project had two field research sites: 1) located within the Arctic polygonal tundra coastal region on the Barrow Environmental Observatory (BEO) and the North Slope near Utqiagvik (Barrow), Alaska and 2) multiple areas on the discontinuous permafrost region of the Seward Peninsula north of Nome, Alaska. Through observations, experiments, and synthesis with existing datasets, NGEE Arctic provided an enhanced knowledge base for multi-scale modeling and contributed to improved process representation at global pan-Arctic scales within the Department of Energy's Earth system Model (the Energy Exascale Earth System Model, or E3SM), and specifically within the E3SM Land Model component (ELM).
DOI: 10.57967/hf/0260
title: cleaned_nhanes_1988_2018
DOI: 10.6084/m9.figshare.19611822.v1
title: Des_DayNight.csv

description: Silica gel desiccation data averaged over 12-hour periods (day and night). 1 of 1.
DOI: 10.6084/m9.figshare.19611855.v1
title: Des_Daytime.csv

description: Daytime silica gel desiccation data averaged over 12-hour periods. 1 of 1.
DOI: 10.6084/m9.figshare.24033690
title: <b>Metadata on Salmonella outbreak in China</b>

description: The transmission of salmonellosis in China necessitates big data analytics of <i>Salmonella</i> outbreaks (SO) to inform policymaking and interventions. This study identifies epidemiological patterns and prevention priorities for SO in China and provides several estimated indicators suitable for predictive modeling and machine learning to quantify epidemic trends, which can help prevent and control the spread of salmonellosis in China.
DOI: 10.6084/m9.figshare.26862454
title: Supplementary Material for: Utility of assessing early tumor shrinkage as an efficacy predictor in patients with non–surgically indicated or recurrent esophageal cancer treated with nivolumab plus ipilimumab

description: Introduction: Nivolumab plus ipilimumab combination therapy has been administered as a first-line treatment in Japan since 2022 for patients with unresectable progressive or recurrent esophageal cancer. The efficacy and safety of this immune checkpoint inhibitor (ICI) doublet therapy is now being evaluated, and it is necessary to identify populations that benefit from this treatment at an early phase after initiation. For patients not showing early benefit, changing as soon as possible to other therapeutic strategies could improve their survival outcomes. Therefore, we attempted to identify decision-making factors such as early tumor shrinkage (ETS) based on treatment experience with ICI doublet therapy.
Methods: The study included 19 patients who received nivolumab plus ipilimumab for non–surgically indicated or recurrent esophageal cancer between July 2022 and November 2023. Tumors were assessed approximately every 2 months after treatment initiation. The effects of ETS, depth of response (DpR), and clinicopathologic features, including immune-related adverse events (irAEs), on progression-free and overall survival were evaluated using Kaplan-Meyer plots and Cox proportional hazard models.
Results: The mean duration of ICI doublet administration was 5.89 months (range, 1-16 months). At first evaluation, patients who exhibited no tumor progression &gt;20% indicated possible response to ICI doublet therapy, and patients whose tumors shrank even minimally exhibited favorable progression-free survival. Higher DpR at any cut-off line exhibited better progression-free survival than those with lower DpR. Fifteen patients experienced irAEs, with 13 of these patients experiencing irAEs within 3 months of treatment initiation. irAEs were associated with the efficacy of ICI doublet therapy, but efficacy could not be predicted based on early irAE experience.
Conclusion: ETS-high, DpR-high, and irAEs might be associated with favorable responses to nivolumab plus ipilimumab. As a predictor of efficacy at an early phase, ETS &gt;0% could be a deciding factor for continuing ICI doublet therapy.
DOI: 10.5066/f7xw4j1j
title: Changes in anthropogenic influences on streams and rivers in the conterminous U.S. over the last 40 years, derived for 16 data themes

description: This product consists of time-series calculations of anthropogenic characteristics derived for 16 data themes for multiple scales covering the conterminous United States. The characteristics are those which (a) have consistent data sources, and (b) have the potential to affect the water quality of streams and rivers. All 16 data themes are provided for Hydrologic Unit Code level-10 (HUC-10) boundaries (n = 15,458). Additionally, measures of land use and imperviousness are provided for U.S. Environmental Protection Agency (USEPA) Level 4 ecoregions (n = 967) and for U.S. counties (n = 3,109). The data may be scaled up to broader areas; that is, HUC-10 data may be scaled up to HUC-8, 6, 4, or HUC-2 areas, Level 4 ecoregions may be scaled up to Levels 3, 2, and 1, and counties may be scaled up to States or multi-state regions. The 16 broad categories of data are: (1) atmospheric deposition (1985-2012), (2) agricultural production and livestock (1969-2012), (3) land in the Conservation Reserve Program (1986-2014), (4) dams and reservoirs (1972-2013), (5) housing unit density (1970-2010) and population density (1990-2010), (6) imperviousness (1974-2012 and 2001-2011), (7) irrigation (1969-2012 and 2002-2012), (8) land use (1974-2012 and 2001-2011), (9) land use in 200-meter flow distance riparian buffers (1974-2012), (10) nitrogen and phosphorus application from fertilizer (1987-2012), (11) nitrogen and phosphorus application from manure (1982-2012), (12) pesticide application (1992-2012), (13) road salt application (1992-2012), (14) timber and forest cutting (1999-2012), (15) freshwater withdrawal water use (1985-2010), and (16) wastewater treatment plant nitrogen and phosphorus yields (1978-2012). The temporal resolution of the source data vary by dataset, and range from annual to decadal data. The data posted here consist of tabular data and shapefiles to which the data may be joined.
DOI: 10.5066/p92s9zx6
title: Dam impact/disturbance metrics for the conterminous United States, 1800 to 2018

description: This metadata record describes two metrics that quantitatively measure the impact of reservoir storage on every flowline in the NHDPlus version 2 data suite (NHDPlusV2) for the conterminous United States. These metrics are computed for every 10 years from 1800 - 2015. The first metric (DamIndex_EROM.zip) estimates reservoir storage intensity in units of days based on reservoir storage in a contributing area normalized by the mean annual streamflow. This metric indicates the duration of storage impact upstream from each stream segment relative to the typical flow condition. In addition, this metric provides an assessment of the potential influence of a dam on average and low flows because the metric estimates the number of days of flow that can be sustained by contributing area storage alone, without additional water or groundwater input. The second metric (DamIndex_PMC.zip) represents the degree of regulation of a river reach based on upstream reservoir storage relative to the 30-year average annual precipitation, as well as the upstream dam and watershed areas. This second metric provides an estimate of the capacity of the contributing area to store precipitation and is oriented to understanding how peak flows may be affected by dams throughout the flow network; this metric is dimensionless. Reservoir storage, construction date and location data were obtained from the US Army Corps of Engineers' National Inventory of Dams (NID, 2018). Also, the dataset in this data release includes dam locations addressed to NHDPlusv2 (Final_NID_2018.zip). These calculations are based on the maximum NID storage , which indicates the maximum amount of water that can be stored behind each dam and therefore may overestimate the true reservoir storage impacts.
DOI: 10.5066/p9qclgkm
title: USGS monthly water balance model inputs and outputs for the conterminous United States, 1895-2020, based on ClimGrid data

description: This NetCDF represents the monthly inputs and outputs from a United States Geological Survey water-balance model (McCabe and Wolock, 2011) for the conterminous United States for the period 1895-01-01 to 2020-12-31. The source data used to run the water balance model is based on the National Oceanic and Atmospheric Administration's(Vose and others, 2020) ClimGrid data for precipitation and temperature. This NetCDF contains the following monthly inputs: temperature (degrees Celsius) and precipitation (millimeters, mm) and the following outputs (all in mm): runoff, soil moisture storage, actual evapotranspiration, potential evapotranspiration, snow water equivalent, and snowfall. The spatial reference for this data set is ESPG 4326.

References:
Vose, Russell S., and others, Improved Historical Temperature and Precipitation Time Series for U.S. Climate Divisions, Journal of Applied Meteorology and Climatology, vol. 53, issue 5, ppg. 1232-1251, DOI: 10.1175/JAMC-D-13-0248.1.

McCabe, Greg, Wolock, David M., Independent effects of temperature and precipitation on modeled runoff in the conterminous United States, Water Resources Research, volume 47, issue 11, November 2011, DOI: 10.1029/2011WR010630.

Changes in version 2.0
First posted - January 27, 2022
Revision posted - February 29, 2024 

Changes in version 2.0:
It was found that very low numbers from the source water balance data resulted in the netcdf to report NODATA. Scaling factors were incorporated into the netcdf which retain these very low numbers and substantially increases throughput for more complex, arithmetic-dominated analysis such as weighted-averaging of multi-dimensional data and helps minimize storage space.
DOI: 10.6084/m9.figshare.19611819.v1
title: Des_24Hour.csv

description: Silica gel desiccation data averaged over 24-hour periods. 1 of 1.
DOI: 10.6084/m9.figshare.11295644.v2
title: Sistemas de Información Geográfica: Datos de la Provincia de Granada

description: Información geográfica y del censo de habitantes de la provincia de Granada. Se han obtenido combinando datos de http://www.ideandalucia.es/portal/web/ideandalucia/ y de https://www.ine.es/nomen2/index.do
DOI: 10.15468/dl.f46jmx
title: Occurrence Download

description: A dataset containing 7616 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is one of (Brunei Darussalam, Cambodia, Indonesia, Lao People’s Democratic Republic, Malaysia, Myanmar, Philippines, Singapore, Thailand, Viet Nam)",
 "IucnRedListCategory is one of (EX, EW, CR, EN, VU, NT, LC, DD, NE)",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Elasmobranchii, Myxini, Holocephali, Coelacanthi, Dipneusti)"
 ]
}

 The dataset includes 7616 records from 96 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010095-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w694gy
title: Occurrence Download

description: A dataset listing the 1031 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is Banc de dades de biodiversitat de Catalunya-MolusCat"
 ]
}

 The dataset's 1031 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010085-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.eb9vm2
title: Occurrence Download

description: A dataset containing 29 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Africa",
 "Country is South Africa",
 "OccurrenceStatus is Present",
 "TaxonKey is Ozoroa paniculosa var. salicina (Sond.) R.Fern. & A.Fern."
 ]
}

 The dataset includes 29 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010096-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zad3ty
title: Occurrence Download

description: A dataset containing 99 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Leptopelis cynnamomeus (Bocage, 1893)"
 ]
}

 The dataset includes 99 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010097-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.