cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6073/pasta/fb62485f8f3ee80951114080ddd745bd
title: Marcell Experimental Forest daily bulk atmospheric deposition, 2009 - ongoing

description: This data set reports daily bulk atmospheric deposition calculated from the event-based chemistry of precipitation water that was collected at the Marcell Experimental Forest (MEF) in Itasca County, Minnesota. The data come from sites in two research catchments instrumented for hydrologic monitoring - the meteorological station located in an upland clearing in the S2 research catchment and the S1 bog as part of the Spruce and Peatland Responses Under Changing Environments (SPRUCE) experiment. The MEF is operated and maintained by the USDA Forest Service, Northern Research Station. The SPRUCE experiment is a multi-year cooperative project among scientists of the Oak Ridge National Laboratory operated by UT-Battelle, LLC and the USDA Forest Service, Northern Research Station. The SPRUCE experiment is funded by the US Department of Energy, Biological and Environmental Research Program.
DOI: 10.5281/zenodo.8018912
title: Ensembles of climate model parameters of Mars and significance values

description: Data set containing an ensemble of model parameters for each of the candidate climate models in Table 1 of Izquierdo et al., (2023). These ensembles are stored as Python objects using the Pickle module. Files for each candidate model are named based on the accumulation and lag sub models and the number of steps used in the Markov chain Monte Carlo algorithm. From each Python object, it can be extracted the distribution of accumulation and retreat rates with time following the scripts and notebooks of the repository referenced in the open research section of the paper. The folders in this repository refer to the ensembles of all candidate models dependent of insolation values (insolation), ensembles of all candidate models dependent on obliquity values (obliquity), and the mean likelihood and Bayes factor of each candidate model (bayesFactor).
DOI: 10.25582/data.2021-05.2224430/2184190
title: Data for EMSL Project 51514 from May 2021
DOI: 10.25582/data.2021-10.2349613/2184191
title: Data for EMSL Project 51514 from October 2021
DOI: 10.1285/i15910725v43p35
title: Oxynotus centrina (Oxynotidae) from the Tunisian coast (Mediterranean Sea)

description: The authors report in the present paper the capture of two specimens of a rare shark, angular rough shark Oxynotus centrina (Linnaeus, 1758), from the northern coast of Tunisia. A first specimen was a juvenile female caught off Ras Jebel, the second specimen was a juvenile male caught off Kelibia. These captures occurred after two decades in the area where it appears that the species is not totally exctincted. The Mediterranean distribution of O. centrina appears to be different according to the region, absent from the coast of France, specimens were still sporadically caught in the Adriatic Sea, and mainly in the Aegean Sea and the eastern Basin.
DOI: 10.25582/data.2021-05.2224517/2184192
title: Data for EMSL Project 51514 from May 2021
DOI: 10.1594/wdcc/hoaps3_daily
title: Hamburg Ocean Atmosphere Parameters and Fluxes from Satellite Data - HOAPS-3 - twice daily composite

description: Project: Hamburg Ocean Atmosphere Parameters and Fluxes from Satellite Data - For more information see http://www.hoaps.zmaw.de/ Summary: The Hamburg Ocean Atmosphere Parameters and Fluxes from Satellite Data (HOAPS) set is a completely satellite based climatology of precipitation, turbulent heat fluxes and freshwater budget (evaporation minus precipitation) as well as related athmospheric state variables over the global ice free oceans. All variables are derived from SSM/I passive microwave radiometers, except for the SST, which is taken from AVHRR measurements. The dataset includes multi-satellite averages, inter-sensor calibration, and an efficient sea ice detection procedure. Changes in this version are a longer time series, now containing data from 1987 to 2005, a new neural network based precipitation algorithm, and inclusion of the RSMAS/NODC Pathfinder Version 5 SST fields. Additionally a new 85 GHz synthesis procedure has been implemented, making a continuous time series for all parameters for the whole time series possible. This dataset contains 1 degree twice daily globally gridded multi-satellite composite products, providing high temporal resolution. Each grid-cell contains data from only one satellite pass, there is no average from two or more satellites. Early passes are overwritten by later passes. This method provides more spatial homogeneity than averaging all available data. The fields are stored for 0-12 and 12-24 UTC. Timesteps in the data files are at 0 UTC (0-12 UTC overpasses) and 12 UTC (12-24 UTC overpasses). Each grid-cell contains the average of data from the satellite that passed this gridbox closest to 12 and 24 UTC, respectively. Other gridded data sets available are pentad (5-day) and monthly means on a global 0.5 deg. x 0.5 deg. grid. For more information see http://www.hoaps.org/.
DOI: 10.25678/0008c9
title: Data for: A Benchmark Dataset for Machine Learning in Ecotoxicology

description: The publication provides and describes a clean and expert-curated benchmark dataset to be used for machine-learning-based research in ecotoxicology. The package contains several data files associated with the challenges we propose and some supplementary data files to aid in the interpretation of results.
DOI: 10.3334/cdiac/spruce.018
title: SPRUCE S1 Bog Porewater, Groundwater, and Stream Chemistry Data: 2011-2013

description: This data set reports the chemistry of S1 bog porewater, outlet stream water, and groundwater from upland wells from 2011 through 2013. These data provide information for studies of the biogeochemical status of the bog and surrounding groundwater aquifer. Porewater samples were collected from one nest of 6 piezometers installed in a hollow in the south end of the S1 bog to characterize solute chemistry depth profiles. Peat porewater was collected from piezometers that opened at 0, 0.3, 0.5, 1, 2, and 3 m depths below hollow surfaces. Samples were collected weekly (2011) or monthly (2012 & 2013) when the samplers were not frozen (typically June – November). Stream water was sampled weekly (2011-2013) from the outlet of the S1 bog (located on the southern edge of the bog). Four groundwater wells located in the uplands of the S1 watershed were sampled monthly in 2013. Bog water level data are also reported for the S1 bog. Water samples were analyzed for pH, specific conductivity, nutrient concentrations (ammonium, nitrate, soluble reactive phosphorus, total nitrogen, total phosphorus), cation concentrations (calcium, potassium, magnesium, sodium, aluminum, iron, manganese, silicon, strontium), anion concentrations (chloride, sulfate), and total organic carbon concentrations. The experimental work is to be conducted in a <em>Picea mariana</em> [black spruce] – <em>Sphagnum</em> spp. bog forest in northern Minnesota, 40 km north of Grand Rapids, in the USDA Forest Service Marcell Experimental Forest (MEF).
DOI: 10.4225/08/53eb2d0eae377
title: Prescott Index derived from 1" SRTM DEM-S

description: The Prescott Index is a measure of water balance that has proven to be a useful in soil mapping both to stratify study areas for sampling and as a quantitative predictor of soil properties (Prescott, 1949; McKenzie et al, 2000). The index was designed to give an indication of the intensity of leaching by excess water and is calculated using long-term average precipitation P and potential evaporation E, both expressed as mean monthly values in mm (mean annual values divided by 12):

PI = 0.445P / E^0.75 

The evaporation was estimated from temperature and net radiation; the net radiation was computed by the SRAD solar radiation model using the smoothed 1 arc-second resolution DEM-S (ANZCW0703014016) and includes both regional climatic influences and local topographic effects. 

Precipitation and temperature were obtained from national climate surfaces averaged over the same time period as the climatic information used in the radiation calculations (1981-2006).

The Prescott Index has no units. Larger values indicate wetter conditions.

The 3 arc-second resolution version of the Prescott Index has been produced from the 1 arc-second resolution surface, by aggregating the cells in a 3x3 window and taking the mean value.
DOI: 10.5281/zenodo.4501516
title: Majadas de Tietar - Tree structural parameters from Terrestrial Lidar Scanning (2015, 2018)

description: This data set provides information about tree structural parameters of holm oak trees (<em>Quercus ilex L</em>) and their changes derived from terrestrial laser scanning (TLS). The TLS acquisition was conducted at Majadas (39°56´024.68´´N, 5°45´50.27´´W; Majadas de Tiétar, Cáceres, Extremadura) in 2015 and in 2018. We scanned the footprint area of three different eddy covariance sites belonging to the European Flux Database (ES-LMa, ES-LM1, ES-LM2). The dataset “Tree Parameters” is in CSV and xlsx formats. Each row is a tree and columns represent different tree parameters. The columns are: Tree ID, coordinates, crown projected area, crown projected perimeter, tree maximum height, diameter at breast height (DBH), and clumping index (see README for more details). The crown perimeter, area and tree maximum height are derived from canopy height model. DBH was measured using caliper in 2015. DBH for 36 trees was additionally derived from TLS. Clumping index was calculated from TLS for 10 trees. The dataset “Temporal changes” is in CSV and xlsx formats. It includes absolute and percentage changes (between the scan in 2015 and the one in 2018) in crown projected area and maximum tree height for 174 trees under different management regimes. These management regimes include Nitrogen treatment (59 trees), Nitrogen and Phosphorus treatment (43 trees), and pruned trees (42 trees). 30 trees are control trees without pruning or fertilization.
description: The authors acknowledge the Alexander von Humboldt Foundation and the Max Planck Research Prize 2013 to Markus Reichstein that funded the research.
DOI: 10.5281/zenodo.6582524
title: Scripts and observations for Pedruzo-Bagazgoitia et al. (2022)

description: Observations gathered during the GoAmazon2014/5 campaign and Python scripts utilized for the elaboration of the figures and analysis in Pedruzo-Bagazgoitia et al. (2022)
DOI: 10.5281/zenodo.8419723
title: Data transect survey J.APPL.ECO

description: Data used and generated for the publication "<em>High resolution mapping of rabbit (Oryctolagus cuniculus) densities for targeted conservation management</em>" in the <em>Journal of Applied Ecology</em>
DOI: 10.6073/pasta/2c25a55d7cc8d707dc924d94227925c1
title: Marcell Experimental Forest seasonal soil moisture, 1966 - ongoing

description: This data publication contains available soil water measured three times a year (1966 - ongoing) at the Marcell Experimental Forest (MEF) in Balsam Township, Itasca County, Minnesota. The data came from six peatland / upland forest watersheds instrumented for long-term hydrological and biogeochemical research. The Marcell Experimental Forest in Itasca County, Minnesota is operated and maintained by the USDA Forest Service, Northern Research Station, and was formally established in 1962 to study the ecology and hydrology of peatlands.
DOI: 10.6084/m9.figshare.21400653
title: Supplementary Material for: Burden of Parkinson Disease in China, 1990–2019: Findings From the 2019 Global Burden of Disease Study

description: Introduction: China has the most people with Parkinson disease (PD) in the world, and is estimated to have over half of the worldwide PD population. The objective of this study is to analyze the corresponding burden of PD in China for the past decades. Method: Data on disease burden related to PD in China were retrieved from the Global Burden of Disease (GBD) 2019 study. The estimated annual percentage changes (EAPCs) were calculated to assess temporal trends, and the ratio of years lived with disability (YLDs) to disability-adjusted life-years (DALYs) was used as an index to evaluate the healthcare system. Result: Nationally, the burden of PD increased from 1990 to 2019. Although the age-standardized incidence rate (ASIR) increased, the age-standardized death rate (ASDR) and age-standardized DALY rate both decreased. Age-standardized rates of PD in males remained higher than those in females, but trends in ASDR and age-standardized DALY rate for females showed a pronounced decrease. The most remarkable increase in the ASIR was in individuals aged 45 to 49 years, with an EAPC of 1.74 (95% confidence interval, 1.26 to 2.21). The YLDs : DALYs ratio continuously increased compared with global figures and even with countries with high sociodemographic index (SDI). Conclusion: Although ASDR and age-standardized DALY rates for PD have been declining, the burden of PD still needs attention, as the total numbers have increased over the period. Generally, the greater burden from PD was in males. A sound health system with services tailored to PD continues to be required in the future.
DOI: 10.6084/m9.figshare.21864444
title: Supplementary Material for: Case Report of Two Siblings Diagnosed with Osteogenesis Imperfecta Type XV with a New Mutation in the <b><i>WNT1</i></b> Gene and Review of the Literature

description: <b><i>Introduction:</i></b> Osteogenesis imperfecta (OI) is a heritable disorder characterized by bone fractures and low bone mass. Recently, mutations of the <i>WNT1</i> gene have been reported to be causative in OI. The mutation in <i>WNT1</i> causes autosomal-recessive OI due to its critical role in bone formation. <i>WNT1</i> mutations cause varying degrees of clinical severity, ranging from moderate to progressively deforming forms. In addition to the OI phenotype, our cases also had extra-skeletal findings. <b><i>Case Presentation:</i></b> We describe two siblings with multiple fractures and developmental delay. A novel homozygous frameshift <i>WNT1</i> mutation was detected in this family, and we reviewed the literature for <i>WNT1</i>-related OI cases. <b><i>Discussion:</i></b> We report a novel variant with a clinical diagnosis of severe OI, and this review will provide a comprehensive overview of previously published cases of OI type XV. With a better understanding of disorders associated with <i>WNT1</i> mutations, therapies targeting Wnt1 signaling pathway may contribute therapeutic benefits.
DOI: 10.6084/m9.figshare.7150760
title: CA1 neuron cell typing results of pciSeq (probabilistic cell typing by in situ sequencing)

description: For files in csv format, please go to https://doi.org/10.17045/sthlmuni.10318610.v1<br>This fileset contains pciSeq analysis results for 28 hippocampi in the study<b> </b> <b>"Probabilistic cell typing enables fine mapping of closely related cell types <i>in situ</i></b>". It includes 28 tiff images of CA1 region only, 14 jpeg images of coronal sections, 28 MATLAB iss object files with cell calling results and 1 MATLAB GeneSet object containing scRNA-seq data used as prior in cell mapping.<br><br>* .mat filesEach mat file contains one MATLAB iss class (https://github.com/kdharris101/iss) object for one hippocampus. It contains all cell-calling as well as base-calling results. <br><br>* .tif imagesEach tif image is the DAPI stain from one hippocampal CA1 region, with DAPI-based segmentation lines shown on top of the grayscale image. <br><br>* .jpg imagesEach jpg image is stitched DAPI image of a full coronal section. <br><br><br>
DOI: 10.25582/data.2021-09.2315102/2184193
title: Data for EMSL Project 51514 from September 2021
DOI: 10.25582/data.2021-10.2353917/2184194
title: Data for EMSL Project 51514 from October 2021
DOI: 10.25582/data.2021-10.2353920/2184195
title: Data for EMSL Project 51514 from October 2021
DOI: 10.5519/0058821
title: Pangolin georeferencing

description: Data from paper: **Using natural history collections to investigate changes in pangolin (Pholidota: Manidae) geographic ranges through time.**. https://doi.org/10.7717/peerj.10843 &gt; Emily Buckingham, Jake Curry, Charles Emogor, Louise Tomsett and Natalie Cooper. 2021. Using natural history collections to investigate changes in pangolin (Pholidota: Manidae) geographic ranges through time. PeerJ, 9:e10843. https://doi.org/10.7717/peerj.10843. These are the cleaned data required for the analyses. Raw data can be downloaded from the following resources: &gt; GBIF. 2019. GBIF.org (08 August 2019) GBIF Occurrence Download. Available from https://doi.org/10.15468/dl.o1t25o [8 August 2019]. &gt; IUCN range maps and extinction risk categories. IUCN 2020. The IUCN Red List of Threatened Species. Version 2019-2. Available from http://www.iucnredlist.org [6 January 2020]. &gt; Land use data: Hurtt G., Chini L., Sahajpal R., Frolking S., Fisk J., Bodirsky B., Calvin K.V., Fujimori S., Goldewijk K., Hasegawa T., Havlik P., Heinimann A., Humpenöder F., Kaplan J.O., Krisztin T., Lawrence D. M., Lawrence P., Mertz O., Popp A., Riahi K. Stehfest E., van Vuuren D., de Waal L., Zhang X., in prep. Harmonization of global land-use change and management for the period 850-2100. Geosci. Model Devel. Available from https://luh.umd.edu/data.shtml [15 September 2020]. &gt; Human population density data: Goldewijk K., Beusen A., Doelman J., Stehfest, E., 2017. Anthropogenic land-use estimates for the Holocene; HYDE 3.2. Earth Syst. Sci. Data. 9: 927-953. More details are at https://github.com/nhcooper123/protecting-pangolins.
DOI: 10.6084/m9.figshare.22014674
title: Supplementary Material for: The clinicopathologic spectrum of membranous nephropathy with lupus-like features

description: Introduction: The pathologic features of membranous lupus nephritis (MLN) are occasionally encountered in secondary membranous nephropathy (sMN) without overt clinical evidence of SLE. Moreover, some sMN with lupus-like features (LL-MN) have a clinical presentation more typical of primary membranous nephropathy (pMN). Based on the confounding clinical and pathologic presentation, it is unclear how to categorize and treat these patients. Methods: We performed immunohistochemical staining for recently discovered target antigens associated with MN -NELL-1, THSD7A, and EXT1/2, and compared the clinicopathologic presentation of patients with LL-MN to those with pMN and MLN. Results: From 2015-2020, there were 21 patients with MLN and 99 with MN, of which 59% were diagnosed pMN and 41% sMN. 44% of sMN showed lupus-like features (LL-fx). All LL-MN were negative for PLA2R and NELL1, but 12% were positive for EXT1/2. 50% of LL-MN had an identifiable systemic disease, of which 56% were autoimmune disease (AD) and 44% infection. Compared to pMN, LL-MN had higher incidence of underlying AD (p=0.02). Within pMN, 24% also had LL-fx (LL-pMN), and all but 1 were PLA2R-(78%) or NELL1-positive (15%). Only 5% of pMN had an AD, 66% of which showed LL-fx. Most idiopathic LL-MN were treated and behaved clinically similarly to pMN. There were no differences in outcome in terms of progression towards ESRD or mortality between LL-MN versus pMN and MLN. Conclusion: LL-MN appears to have a significant association with underlying AD and has a subset showing EXT1/2 positivity, whereas most LL-pMN and idiopathic LL-MN likely represent an atypical pathologic presentation of pMN.
DOI: 10.6084/m9.figshare.24012741
title: Simulation data for "GeneSegNet: a deep learning framework for cell segmentation by integrating gene expression and imaging"

description: This is a simulation dataset that includes scenarios with images of<br>high or low noise levels, scenarios with densely or sparsely distributed cells, and<br>scenarios with abundant or depleted amounts of gene.
DOI: 10.25911/5c073e713e5dd
title: Global Solar Irradiance Data via API

description: Produced by commercial entity Solcast, through support from ANU technologies built by Dr. Nick Engerer's research group at the Fenner School of Environment and Society via Australian Renewable Energy Agency Funding.  Satellite data, along with information from weather models, is used to create an estimate of available solar radiation at the Earth's surface.
description: Data are produced in the following way.  Firstly, satellite imagery is taken from the 3rd generation weather satellites (5x in total globally, including the Himawari 8 satellite over Australia). The images have a scan duration of 10-15 mins and are provided
for 16 bands, each with a different scanning wavelength of outgoing terrestrial radiation. The model applied utilises the visible (band 3) and infrared (band 13) images. The images extracted, and re-project spatially, including for parallax errors.  The radiation modelling begins with the visible and IR images from the satellites with
pixel size resolution of 1-2 km^2. Solar irradiance is derived following the general principles of the Heliosat-2 methodology.  Clouds are decomposed into lower, middle and upper troposphere layers as separated by cloud top temperatures that are inferred through utilisation of the IR image identified cloud-top height and numerical weather model isobaric temperatures obtained from the Global Forecast System (GFS) deterministic model. Total cloudiness is derived through aggregation of the three cloud layers. Total cloud opacity (represented as an index between 0 and 1) is then derived using albedo differences between the lowest visible return value of albedo recorded for each pixel and a continuous running 50 day sample that is updated daily. Derived cloud opacity is then applied as a linear reduction to the Esra clear sky radiation model to produce an estimate of GHI (Global Horizontal Irradiance) at each pixel. The selection of the Esra model was based upon validation against a selection of clear sky radiation models in Australia [20]. Estimates of GHI are then decomposed into direct normal irradiance (DNI) and diffuse horizontal irradiance (DIF) through the Engerer2 separation model.  Data are updated live on an AWS based platform and can be extracted via a free API account, available at the project webpage (http://solcast.com.au/solar-data-api/).
DOI: 10.5281/zenodo.6619395
title: Books from the OpenAIRE Research Graph

description: This dataset is the subset of the OpenAIRE Research Graph about research products of type "Book". The tar archive contains gz files, each with one json per line. Each json compliant to the schema available at http://doi.org/10.5281/zenodo.5799514.
description: Learn more about the OpenAIRE Research Graph at https://graph.openaire.eu. Discover the content of the graph on OpenAIRE EXPLORE and our API for developers.
DOI: 10.6073/pasta/5cc889e7055d3d4e55cc243025986018
title: Above ground plant biomass in a mesic acidic tussock tundra experimental site from 1982 to 2000 Arctic LTER, Toolik Lake, Alaska.
DOI: 10.6073/pasta/cb6e3030fb69d2bf9549d8fe529a67fd
title: Bulk precipitation collected during summer months on a per rain event basis at Toolik Field Station, North Slope of Alaska, Arctic LTER 1988 to 2007.

description: Bulk precipitation was collected during summer months (June, July and August) on a per rain event basis at the University of Alaska Fairbanks Toolik Field Station, North Slope of Alaska (68 degrees 37' 42"N, 149 degrees 35' 46"W). Analysis of pH, NH4-N and phosphorus were performed at the field station. NO3-N were frozen and analyzed in Woods Hole, MA