cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5066/p99joz7p
title: Biological N-cycling data from soils collected along an elevation gradient in the CO Front Range (2018-2019) (ver. 2.0, November 2024)

description: Atmospheric deposition of reactive nitrogen (Nr) can impact the soil microbial community structure and function and thus ecosystem processing and export of nutrients. Ecosystem response to atmospheric inputs of nitrogen depends on several factors, including elevational climate conditions (freeze/thaw cycles, precipitation), geology, soil and vegetation type, N speciation and microbial community structure. The focus of this study was to evaluate how spatial and seasonal variations in N deposition affect the ability of soil microbial communities to process N along an elevational gradient (1700 to 3015 meters) from plains to subalpine ecosystems west of Boulder, Colorado. In conjunction with a study measuring the variability of wet-plus-dry Nr Deposition along this gradient using ion exchange resin (IER) columns (Heindel et al., 2022), soil samples (0&ndash;10 cm depth) were collected seasonally at 3 locations and once at a 4th location. To assess the role that the soil microbial community plays in processing nitrogen, soils were measured for nitrification potential, net N mineralization rates, microbial community structure, and N-cycling gene abundance. Additionally, soils were characterized for carbon and nitrogen content, pH, extractable nitrogen, ammonium sorption potential, and bulk density.
 
Site information, soil characterization details, N-cycling nutrient data, and molecular results are presented in this data release as comma-separated values (.csv) formatted tables. Files are grouped in zipped file folders under 2 categories &ndash; 1. Nutrient Data and 2. Microbial Data. Data Dictionary tables, Nutrient Data Descriptions and Microbial Data Descriptions, located in the zipped folders describe the data found in the .csv files. Method details and references are located in the metadata file &ldquo;N Dep Soil Activity.xml.&rdquo;
DOI: 10.5066/p9qjl2uh
title: Bluegill catch rates and total length distributions among four sampling gears used in two Wisconsin lakes 2017

description: Data represent catch rates and total lengths of bluegill (Lepomis macrochirus) collected from two northern Wisconsin lakes using four different sampling gears.The data include number of bluegills captured in individual units of effort for 4 different sampling gears (Isermann_Bluegill_Sampling_catch.csv) and total lengths measured for a subsample of those fish (Isermann_Bluegill_Sampling_Total Lengths.csv).
DOI: 10.5066/p9xw4tm8
title: Seasonal Atmospheric Nitrate and Ammonium Deposition along an Elevation Gradient in the Colorado Front Range using Ion Exchange Resin Columns (2018-2019)

description: Atmospheric deposition of reactive nitrogen (Nr) due to human activities can have measurable effects on ecosystem processing and export of nutrients, groundwater and surface-water quality. Rates of Nr deposition to lower-elevation forests immediately adjacent to the Denver/Boulder urban area, however, have only recently been measured. The focus of this study was to determine the extent of urban and agricultural N pollution transport to the Colorado Front Range. In conjunction with the Network for Urban Atmospheric Nitrogen Chemistry (NUANC) and the National Atmospheric Deposition Program (NADP), we measured wet-plus-dry Nr deposition and evaluated spatial and seasonal variations in N deposition along an elevational gradient (1603 to 3159 meters) from plains to subalpine ecosystems west of Boulder, Colorado. Ion-exchange-resin (IER) columns with attached collector funnels were deployed at 5 locations along the elevational gradient during spring, summer and fall seasons to measure bulk (wet-plus-dry) N deposition. IER columns were collected at approximately 2-month intervals in 2018 and 2019 then extracted with KCl and analyzed for nitrate plus nitrite and ammonium concentrations. Results were blank corrected using sealed field IERs deployed to measure potential contamination due to handling. The mass of nitrogen species on the column was calculated and normalized to mass per unit area per day using the surface area of the funnel opening. Snow buckets were employed periodically during the winter to obtain estimates of deposition during snow falls. Results were normalized to mass per unit area per day using the surface area of the snow bucket opening.
DOI: 10.5281/zenodo.10804249
title: MLP parameter estimates

description: Multilayer perceptron (MLP) parameter estimates for the prediction of MYC, BCL2, and BCL6 gene expression in Diffuse Large B-cell Lymphoma (DLBCL)
DOI: 10.5281/zenodo.14591069
title: Datasets for paper "Flood modeling prior to the instrumental era reveals limited magnitude of 1931 Yangtze flood"

description: These files contain flood duration and intensity  which were calculated based on model outputs from NorESM-WRF-SWAT. The data are used to generate the main figures and perform the calculations for the numbers in our paper titled ”Flood Modeling prior to the Instrumental Era Reveals Limited Magnitude of the 1931 Yangtze Flood.“

Flood duration in both 1931 and 1998, calculated based on 90th quantile, could be obtained from the file "Flood duration_90Quantile_1998and1931.xlsx".

Flood intensity in both 1931 and 1998, calculated based on 90th quantile, could be obtained from the file "Flood Intensity_90Quantile_1998and1931.xlsx".
DOI: 10.5281/zenodo.6624726
title: The PI-CAI Challenge: Public Training and Development Dataset

description: This dataset represents the <strong>PI-CAI: Public Training and Development Dataset</strong>. It contains 1500 anonymized prostate biparametric MRI scans from 1476 patients, acquired between 2012-2021, at three centers (Radboud University Medical Center, University Medical Center Groningen, Ziekenhuis Groep Twente) based in The Netherlands. The PI-CAI challenge is an all-new grand challenge that aims to validate the diagnostic performance of artificial intelligence and radiologists at clinically significant prostate cancer (csPCa) detection/diagnosis in MRI, with histopathology and follow-up (≥ 3 years) as the reference standard, in a retrospective setting. The study hypothesizes that state-of-the-art AI algorithms, trained using thousands of patient exams, are non-inferior to radiologists reading bpMRI. Key aspects of the PI-CAI study design have been established in conjunction with an international scientific advisory board of 16 experts in prostate AI, radiology and urology —to unify and standardize present-day guidelines, and to ensure meaningful validation of prostate AI towards clinical translation (<strong>Reinke et al., 2021</strong>).
DOI: 10.6073/pasta/0fd0832f8619151ab22c8c212357c1c4
title: Phenologies of the Tabonuco Forest trees and shrubs

description: These data are being used to, among other things, (1) determine the seasonality of flowering and fruiting in Tabonuco forest and test hypotheses concerning the causation of seasonality (or lack thereof), (2) test the effect of annual variation in rainfall and other climatic variables on seed and fruit production of individual species, and (3) compare the relative dispersal of species on the Luquillo Forest Dynamics Plot by applying information on the spatial distribution of canopy trees to the data on seed and fruit fall. These data also serve as background information on the flowering and fruiting of individual species.
DOI: 10.6073/pasta/f6cb97e094966c0af30206e767b0b2c2
title: Tree Mast Production in Pinyon-Juniper-Oak Forests at the Sevilleta National Wildlife Refuge, New Mexico (1997- present)
DOI: 10.6084/m9.figshare.25112972
title: Data and code for: Community synchrony in seed production is associated with trait similarity and climate across North America.

description: Data and code for the manuscript titled "Community synchrony in seed production is associated with trait similarity and climate across North America".To investigate synchrony in mast seeding between woody-plant species within communities, we used long-term data from seven forest communities in the US Long-Term Ecological Research (LTER) network, ranging from tropical rainforest to taiga. We focus on cross-species synchrony to i) quantify synchrony in reproduction overall and within LTER sites, ii) test for relationships between synchrony with trait and phylogenetic similarity, and iii) investigate how climate conditions are related to levels of synchrony.These data contain the cross-species synchrony values for 2,104 co-occurring species pairs at seven LTER sites, as well as the trait similarities between species, phylogenetic similarity, and the climate conditions of the plots within the LTER sites (actual evapotranspiration, climatic water deficit). There is information on 11 traits for 103 species, plus phylogenetic similarity between species pairs.
DOI: 10.6084/m9.figshare.25282054
title: Inland Cisco Populations Data.csv

description: All data used for the linear regression and mixed effect model analysis of my thesis research related to the environmental influences on the growth of inland Cisco populations in three Minnesota sentinel lakes.
DOI: 10.21227/82v9-2b79
title: Large-Sample and Multiday Surface Electromyogram Recordings of Hand Gestures

description: Recently, surface electromyogram (EMG) has been proposed as a novel biometric trait for addressing some key limitations of current biometrics, such as spoofing and liveness. The EMG signals possess a unique characteristic: they are inherently different for individuals (biometrics), and they can be customized to realize multi-length codes or passwords (for example, by performing different gestures). However, current EMG-based biometric research has two critical limitations: 1) a small subject pool, compared to other more established biometric traits, and 2) limited to single-session or single-day data sets. In this study, forearm and wrist EMG data were collected from 43 participants over three different days with long separation while they performed static hand and wrist gestures. The multi-day biometric authentication resulted in a median EER of 0.017 for the forearm setup and 0.025 for the wrist setup, comparable to well-established biometric traits suggesting consistent performance over multiple days. The presented large-sample multi-day data set and findings could facilitate further research on EMG-based biometrics and other gesture recognition-based applications
DOI: 10.15468/dl.fqsk6n
title: Occurrence Download

description: A dataset containing 447 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((106.18337 -8.66017,111.77712 -8.66017,111.77712 -6.42152,106.18337 -6.42152,106.18337 -8.66017))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Macaca fascicularis (Raffles, 1821)"
 ]
}

 The dataset includes 447 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002364-250121130708018/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34933/46bd9e52-9e84-4c02-bb5e-e332a6296a7d
title: Data for: Composition and Structure of the solid electrolyte interphase on Na-Ion Anodes Revealed by Exo- and Endogenous Dynamic Nuclear Polarization─NMR Spectroscopy

description: Sodium ion batteries (SIB) are among the most promising devices for large scale energy storage. Their stable and long-term performance depends on the formation of the solid electrolyte interphase (SEI), a nanosized, heterogeneous and disordered layer, formed due to degradation of the electrolyte at the anode surface. The chemical and structural properties of the SEI control the charge transfer process at the electrode–electrolyte interface, thus, there is great interest in determining these properties for understanding, and ultimately controlling, SEI functionality. However, the study of the SEI is notoriously challenging due to its heterogeneous nature and minute quantity. In this work, we present a powerful approach for probing the SEI based on solid state NMR spectroscopy with increased sensitivity from dynamic nuclear polarization (DNP). Utilizing exogenous (organic radicals) and endogenous (paramagnetic metal ion dopants) DNP sources, we obtain not only a detailed compositional map of the SEI but also, for the first time for the native SEI, determine the spatial distribution of its constituent phases. Using this approach, we perform a thorough investigation of the SEI formed on Li4Ti5O12 used as a SIB anode. We identify a compositional gradient, from organic phases at the electrolyte interface to inorganic phases toward the anode surface. We find that the use of fluoroethylene carbonate as an electrolyte additive leads to performance degradation which can be attributed to formation of a thicker SEI, rich in NaF and carbonates. We expect that this methodology can be extended to examine other titanate anodes and new electrolyte compositions, offering a unique tool for SEI investigations to enable the development of effective and long-lasting SIBs.

Journal of the American chemical society
DOI: 10.15468/dl.5rwy64
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mustela eversmanii Lesson, 1827",
 "HasCoordinate is true",
 "Year is greater than or equal to 2013",
 "Year is less than or equal to 2018",
 "CoordinateUncertaintyInMeters is less than or equal to 1000"
 ]
}

 The dataset includes 11 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002365-250121130708018/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7tfc3e
title: Occurrence Download

description: A dataset containing 15815 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Australia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Cenchrus ciliaris L.",
 "Year 2014-2024"
 ]
}

 The dataset includes 15815 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002366-250121130708018/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.28262492
title: A complementary patent dataset based on patent assignment records

description: We used publicly available patent assignment and grant data from the United States Patent and Trademark Office (USPTO) in 2023 as our data source. We extracts and analyzes market transaction information from patent assignment records to design indicators to identify complementary patents and to construct a more comprehensive complementary patent dataset. The research results indicate that the method proposed in this paper can identify complementary patents across a wider range of technical fields and better reflect commercial value in actual patent transactions, compared to traditional methods. This dataset can be used for research such as recommending patent partners and analyzing patent pools.
DOI: 10.5281/zenodo.14723862
title: An Investigation of Structural Bias in Particle Swarm Optimization

description: Source code and data files for the experiments in the paper: 

An Investigation of Structural Bias in Particle Swarm Optimization
DOI: 10.5281/zenodo.14723863
title: An Investigation of Structural Bias in Particle Swarm Optimization

description: Source code and data files for the experiments in the paper: 

An Investigation of Structural Bias in Particle Swarm Optimization
DOI: 10.15468/dl.ak7ckp
title: Occurrence Download

description: A dataset containing 14327 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lepus timidus Linnaeus, 1758",
 "HasCoordinate is true",
 "Year is greater than or equal to 2013",
 "Year is less than or equal to 2018",
 "CoordinateUncertaintyInMeters is less than or equal to 1000"
 ]
}

 The dataset includes 14327 records from 73 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002367-250121130708018/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n62u8a
title: Occurrence Download

description: A dataset containing 564 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Indonesia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Macrocephalon maleo S.Müller, 1846"
 ]
}

 The dataset includes 564 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002368-250121130708018/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.28262657
title: Supplementary material.docx

description: Supplementary material includes questionnaires, methodological steps, and process matrixes.
DOI: 10.6084/m9.figshare.28262657.v2
title: Supplementary material.docx

description: Supplementary material includes questionnaires, methodological steps, and process matrixes.
DOI: 10.6084/m9.figshare.28262657.v1
title: Supplementary material.docx

description: Supplementary material includes questionnaires, methodological steps, and process matrixes.
DOI: 10.15468/dl.udag47
title: Occurrence Download

description: A dataset containing 39 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mustela lutreola (Linnaeus, 1761)",
 "HasCoordinate is true",
 "Year is greater than or equal to 2013",
 "Year is less than or equal to 2018",
 "CoordinateUncertaintyInMeters is less than or equal to 1000"
 ]
}

 The dataset includes 39 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002369-250121130708018/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.28151957
title: Data&Code for Resolving the Complexity of Microstructure Evolution Using Spiking Neural Networks

description: Microstructure evolution is ubiquitous in nature and important in engineering, often understood through a field-based description.In this work, we decipher its intricate spatiotemporal complexity using spiking neural networks (SNNs) by harnessing their event-driven nature.
DOI: 10.6084/m9.figshare.28151957.v2
title: Data&Code for Resolving the Complexity of Microstructure Evolution Using Spiking Neural Networks

description: Microstructure evolution is ubiquitous in nature and important in engineering, often understood through a field-based description.In this work, we decipher its intricate spatiotemporal complexity using spiking neural networks (SNNs) by harnessing their event-driven nature.
DOI: 10.6084/m9.figshare.28151957.v1
title: Data&Code for Resolving the Complexity of Microstructure Evolution Using Spiking Neural Networks

description: Microstructure evolution is ubiquitous in nature and important in engineering, often understood through a field-based description.In this work, we decipher its intricate spatiotemporal complexity using spiking neural networks (SNNs) by harnessing their event-driven nature.
DOI: 10.5281/zenodo.14722709
title: vocalsound in WebDataset Format

description: This dataset is the vocalsound dataset, formatted in the WebDataset format. WebDataset files are essentially tar archives, where each example in the dataset is represented by a pair of files: a WAV audio file and a corresponding JSON metadata file. The JSON file contains the class label and other relevant information for that particular audio sample.

$ tar tvf train-000000.tar|head                                  
-r--r--r-- bigdata/bigdata  19 2025-01-15 15:45 m2246_0_sneeze.json
-r--r--r-- bigdata/bigdata 150230 2025-01-15 15:45 m2246_0_sneeze.wav
-r--r--r-- bigdata/bigdata     18 2025-01-15 15:45 m2484_0_sniff.json
-r--r--r-- bigdata/bigdata 150230 2025-01-15 15:45 m2484_0_sniff.wav
-r--r--r-- bigdata/bigdata     18 2025-01-15 15:45 m0564_0_sniff.json
-r--r--r-- bigdata/bigdata 125654 2025-01-15 15:45 m0564_0_sniff.wav
-r--r--r-- bigdata/bigdata     18 2025-01-15 15:45 m0967_0_sniff.json
-r--r--r-- bigdata/bigdata 213036 2025-01-15 15:45 m0967_0_sniff.wav
-r--r--r-- bigdata/bigdata     21 2025-01-15 15:45 f2302_0_laughter.json
-r--r--r-- bigdata/bigdata 161154 2025-01-15 15:45 f2302_0_laughter.wav


$ cat m2246_0_sneeze.json 
{"label": "sneeze"}
DOI: 10.5281/zenodo.14722710
title: vocalsound in WebDataset Format

description: This dataset is the vocalsound dataset, formatted in the WebDataset format. WebDataset files are essentially tar archives, where each example in the dataset is represented by a pair of files: a WAV audio file and a corresponding JSON metadata file. The JSON file contains the class label and other relevant information for that particular audio sample.

$ tar tvf train-000000.tar|head                                  
-r--r--r-- bigdata/bigdata  19 2025-01-15 15:45 m2246_0_sneeze.json
-r--r--r-- bigdata/bigdata 150230 2025-01-15 15:45 m2246_0_sneeze.wav
-r--r--r-- bigdata/bigdata     18 2025-01-15 15:45 m2484_0_sniff.json
-r--r--r-- bigdata/bigdata 150230 2025-01-15 15:45 m2484_0_sniff.wav
-r--r--r-- bigdata/bigdata     18 2025-01-15 15:45 m0564_0_sniff.json
-r--r--r-- bigdata/bigdata 125654 2025-01-15 15:45 m0564_0_sniff.wav
-r--r--r-- bigdata/bigdata     18 2025-01-15 15:45 m0967_0_sniff.json
-r--r--r-- bigdata/bigdata 213036 2025-01-15 15:45 m0967_0_sniff.wav
-r--r--r-- bigdata/bigdata     21 2025-01-15 15:45 f2302_0_laughter.json
-r--r--r-- bigdata/bigdata 161154 2025-01-15 15:45 f2302_0_laughter.wav


$ cat m2246_0_sneeze.json 
{"label": "sneeze"}
DOI: 10.15468/dl.86hxky
title: Occurrence Download

description: A dataset containing 22168 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pteromys volans (Linnaeus, 1758)",
 "HasCoordinate is true",
 "Year is greater than or equal to 2013",
 "Year is less than or equal to 2018",
 "CoordinateUncertaintyInMeters is less than or equal to 1000"
 ]
}

 The dataset includes 22168 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002370-250121130708018/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7nawah
title: Occurrence Download

description: A dataset containing 263704 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Scabiosa L.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 263704 records from 1510 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002343-250121130708018/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.supg4d
title: Occurrence Download

description: A dataset containing 1958629 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Riparia riparia (Linnaeus, 1758)"
 ]
}

 The dataset includes 1958629 records from 1470 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0093797-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s26a8s
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Astragalus turcicus Sümbül"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038337-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.