cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.30158298.v1
title: Active Learning of Piecewise Gaussian Process Surrogates

description: Active learning of Gaussian process (GP) surrogates has been useful for optimizing experimental designs for physical/computer simulation experiments, and for steering data acquisition schemes in machine learning. In this article, we develop a method for active learning of piecewise, Jump GP surrogates. Jump GPs are continuous within, but discontinuous across, regions of a design space, as required for applications spanning autonomous materials design, configuration of smart factory systems, and many others. Although our active learning heuristics are appropriated from strategies originally designed for ordinary GPs, we demonstrate that additionally accounting for model bias, as opposed to the usual model uncertainty, is essential in the Jump GP context. Toward that end, we develop an estimator for bias and variance of Jump GP models. Illustrations, and evidence of the advantage of our proposed methods, are provided on a suite of synthetic benchmarks, and real-simulation experiments of varying complexity.
DOI: 10.6084/m9.figshare.29416725
title: Batch Sequential Experimental Design for Calibration of Stochastic Simulation Models

description: Calibration of expensive simulation models involves an emulator based on simulation outputs generated across various parameter settings to replace the actual model. Noisy outputs of stochastic simulation models require many simulation evaluations to understand the complex input-output relationship effectively. Sequential design with an intelligent data collection strategy can improve the efficiency of the calibration process. The growth of parallel computing environments can further enhance calibration efficiency by enabling simultaneous evaluation of the simulation model at a batch of parameters within a sequential design. This article proposes novel criteria that determine if a new batch of simulation evaluations should be assigned to existing parameter locations or unexplored ones to minimize the uncertainty of posterior prediction. Analysis of several simulated models and real-data experiments from epidemiology demonstrates that the proposed approach results in improved posterior predictions.
DOI: 10.6084/m9.figshare.29416725.v1
title: Batch Sequential Experimental Design for Calibration of Stochastic Simulation Models

description: Calibration of expensive simulation models involves an emulator based on simulation outputs generated across various parameter settings to replace the actual model. Noisy outputs of stochastic simulation models require many simulation evaluations to understand the complex input-output relationship effectively. Sequential design with an intelligent data collection strategy can improve the efficiency of the calibration process. The growth of parallel computing environments can further enhance calibration efficiency by enabling simultaneous evaluation of the simulation model at a batch of parameters within a sequential design. This article proposes novel criteria that determine if a new batch of simulation evaluations should be assigned to existing parameter locations or unexplored ones to minimize the uncertainty of posterior prediction. Analysis of several simulated models and real-data experiments from epidemiology demonstrates that the proposed approach results in improved posterior predictions.
DOI: 10.6084/m9.figshare.30031910
title: Capturing Usage Patterns in Bike Sharing System via Multilayer Network Fused Lasso

description: Data collected from a bike-sharing system exhibit complex temporal and spatial features. We analyze shared-bike usage data collected in three large cities at the level of individual stations, accounting for station-specific behavior and covariate effects. For this, we adopt a penalized regression approach with a multilayer network fused Lasso penalty. These fusion penalties are imposed on networks which embed spatio-temporal linkages, and capture the homogeneity in bike usage that is attributed to intricate spatio-temporal features without arbitrarily partitioning the data. On the real-life datasets, we demonstrate that the proposed approach yields competitive predictive performance and provides a new interpretation of the data.
DOI: 10.6084/m9.figshare.30031910.v1
title: Capturing usage patterns in bike sharing system via multilayer network fused Lasso

description: Data collected from a bike-sharing system exhibit complex temporal and spatial features. We analyze shared-bike usage data collected in three large cities at the level of individual stations, accounting for station-specific behavior and covariate effects. For this, we adopt a penalized regression approach with a multilayer network fused Lasso penalty. These fusion penalties are imposed on networks which embed spatio-temporal linkages, and capture the homogeneity in bike usage that is attributed to intricate spatio-temporal features without arbitrarily partitioning the data. On the real-life datasets, we demonstrate that the proposed approach yields competitive predictive performance and provides a new interpretation of the data.
DOI: 10.6084/m9.figshare.30031910.v2
title: Capturing Usage Patterns in Bike Sharing System via Multilayer Network Fused Lasso

description: Data collected from a bike-sharing system exhibit complex temporal and spatial features. We analyze shared-bike usage data collected in three large cities at the level of individual stations, accounting for station-specific behavior and covariate effects. For this, we adopt a penalized regression approach with a multilayer network fused Lasso penalty. These fusion penalties are imposed on networks which embed spatio-temporal linkages, and capture the homogeneity in bike usage that is attributed to intricate spatio-temporal features without arbitrarily partitioning the data. On the real-life datasets, we demonstrate that the proposed approach yields competitive predictive performance and provides a new interpretation of the data.
DOI: 10.6084/m9.figshare.29716002
title: A Periodic Fractional Wiener Process for Remaining Useful Life Prediction of Photovoltaic Systems with Long-Range Dependence

description: Global warming concerns have spurred rapid growth in the photovoltaic industry, boosting academic interest in photovoltaic system degradation modeling. Although current studies have considered the natural environmental impact on photovoltaic systems, they often focus on single correlations, overlooking multiple correlations and their mutual influences. These multifaceted interactions affect both energy generation and degradation of photovoltaic systems, leading to long-range dependence in their degradation patterns. Moreover, the natural environmental impact on photovoltaic systems exhibits quasi-periodic characteristics driven by seasonal fluctuations. The coexistence of long-range dependence and quasi-periodicity presents significant challenges to the effectiveness of traditional models when applied to photovoltaic performance modeling. This study proposes the periodic fractional Wiener process (PFWP) to capture the long-range dependence and quasi-periodicity simultaneously. Building on this, we develop a PFWP-based degradation model to predict the remaining useful life (RUL) of photovoltaic systems, which is a crucial reliability metric reflecting system performance. Additionally, unknown parameters are predicted by a two-stage maximum likelihood estimation. Five open-source datasets from diverse photovoltaic technologies are adopted to verify that our model offers superior data fitting and RUL prediction accuracy. Particularly, we show that accurate and stable failure time estimations are guaranteed one year in advance.
DOI: 10.6084/m9.figshare.29716002.v1
title: A Periodic Fractional Wiener Process for Remaining Useful Life Prediction of Photovoltaic Systems with Long-Range Dependence

description: Global warming concerns have spurred rapid growth in the photovoltaic industry, boosting academic interest in photovoltaic system degradation modeling. Although current studies have considered the natural environmental impact on photovoltaic systems, they often focus on single correlations, overlooking multiple correlations and their mutual influences. These multifaceted interactions affect both energy generation and degradation of photovoltaic systems, leading to long-range dependence in their degradation patterns. Moreover, the natural environmental impact on photovoltaic systems exhibits quasi-periodic characteristics driven by seasonal fluctuations. The coexistence of long-range dependence and quasi-periodicity presents significant challenges to the effectiveness of traditional models when applied to photovoltaic performance modeling. This study proposes the periodic fractional Wiener process (PFWP) to capture the long-range dependence and quasi-periodicity simultaneously. Building on this, we develop a PFWP-based degradation model to predict the remaining useful life (RUL) of photovoltaic systems, which is a crucial reliability metric reflecting system performance. Additionally, unknown parameters are predicted by a two-stage maximum likelihood estimation. Five open-source datasets from diverse photovoltaic technologies are adopted to verify that our model offers superior data fitting and RUL prediction accuracy. Particularly, we show that accurate and stable failure time estimations are guaranteed one year in advance.
DOI: 10.15468/dl.c9d89s
title: Occurrence Download

description: A dataset containing 31358 records in GBIF matching the query:

 SELECT gbifid, datasetkey, specieskey, kingdom, phylum, class, "order", family, genus, species, scientificname, decimallatitude, decimallongitude, eventdate, institutioncode, "year" AS obs_year, basisofrecord, coordinateuncertaintyinmeters, issue
 FROM occurrence
 WHERE
 decimallatitude IS NOT NULL
 AND decimallongitude IS NOT NULL
 AND NOT ARRAY_CONTAINS(issue, 'ZERO_COORDINATE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_OUT_OF_RANGE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_INVALID')
 AND NOT ARRAY_CONTAINS(issue, 'COUNTRY_COORDINATE_MISMATCH')
 AND "year" &gt;= 2015
 AND "year" &lt;= 2026
 AND coordinateuncertaintyinmeters IS NOT NULL
 AND coordinateuncertaintyinmeters &gt; 0
 AND coordinateuncertaintyinmeters &lt;= 200.0
 AND decimallatitude &gt;= 66.79314043790278
 AND decimallatitude &lt;= 72.77152049497572
 AND decimallongitude &gt;= -161.99929050487717
 AND decimallongitude &lt;= -125.72054921484909
 AND GBIF_Within('POLYGON ((-125.720549 66.793140, -125.720549 72.771520, -161.999291 72.771520, -161.999291 66.793140, -125.720549 66.793140))', decimallatitude, decimallongitude) = TRUE
 

 The dataset's 31358 records were derived from 65 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006390-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.duz9xy
title: Occurrence Download

description: A dataset listing the 3 species recorded in GBIF matching the query:
{
 "and" : [
 "GadmGid is one of (ESP.3_1, ESP.5.3_1)",
 "OccurrenceStatus is Present",
 "PublishingOrg is one of (0363cbd4-f666-455e-8e86-0bbddcf51950, 7b4f2f30-a456-11d9-8049-b8a03c50a862, 730cd32c-627f-44a8-9d93-fcfb23ade969, 6f3ccc65-0a54-4e65-ae7e-13b92d618e7c, 797b2594-278e-421d-88c1-0925d122d611, 8209258a-80e8-4094-aba2-a3febe5ed45b, cb202839-87c6-456a-821c-dc5b268a200f)",
 "TaxonKey is one of (Achillea odorata, Lotus hispidus, Viola odorata)"
 ]
}

 The dataset's 3 records were derived from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006396-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16921444
title: Reproduction package for the paper "Mapping plasma properties of Cassiopeia A with XRISM/Resolve: a Bayesian analysis via UltraSPEX"

description: This is the reproduction package for the paper "Mapping plasma properties of Cassiopeia A with XRISM/Resolve: a Bayesian analysis via UltraSPEX" by Agarwal et al. 2026. It provides the data products and software used in this work. It also includes all the final parameter maps in the 'fits' file format.
DOI: 10.5281/zenodo.16921445
title: Reproduction package for the paper "Mapping plasma properties of Cassiopeia A with XRISM/Resolve: a Bayesian analysis via UltraSPEX"

description: This is the reproduction package for the paper "Mapping plasma properties of Cassiopeia A with XRISM/Resolve: a Bayesian analysis via UltraSPEX" by Agarwal et al. 2026. It provides the data products and software used in this work. It also includes all the final parameter maps in the 'fits' file format.
DOI: 10.6073/pasta/8f744e570fd36cfa2227ee21e9739e0a
title: The Zooplankton International Geospatial (ZIG) dataset: A global repository of spatiotemporal freshwater zooplankton community composition data to support ecological research

description: Zooplankton play critical roles in aquatic ecosystem function and food webs. Nevertheless, global syntheses of their abundance and community dynamics are challenging due to methodological differences across monitoring programs, taxonomic inconsistencies, and a lack of standardized metadata. To reconcile these challenges, we assembled, curated, validated, and harmonized the Zooplankton International Geospatial (ZIG) dataset, which includes co-located and contemporaneous zooplankton, water chemistry, and limnological data from 307 lakes and reservoirs. ZIG includes waterbodies from each major lake thermal region and range in size from 0.8-2,805,8600 hectares. Temporal coverage for individual waterbodies ranges between 1-60 years of data (median = 4 years) with sampling from once annually to weekly. ZIG is publicly available and can be used to understand freshwater biodiversity change and its drivers at unprecedented scales, and we consider it to be a cornerstone for future investigations of freshwater biology, chemistry, and ecology.
DOI: 10.48322/6c44-as03
title: Pioneer Venus Orbiter(PVO) hourly averaged plasma data

description: This data set holds hourly data for the interplanetary solar wind near Venus from the Plasma Analyzer (OPA) 
experiment on the Pioneer Venus Orbiter spacecraft. Data coverage includes cruise (enroute to Venus from Earth, May - Dec. 1978) and orbital (Dec. 1978 to 
Oct. 1992) mission phases up through loss of telemetry on Oct. 8, 1992 before atmospheric entry. The data consist of hourly-averages of the derived plasma parameters for every spectrum returned by the OPA.  Each record consists of the spacecraft ID, the date of the record, the hour of the day (spacecraft event time) at the start of the record, reserved (but not used) space for the magnetic field and its azimuthal and polar angles, the proton temperature (K), and the plasma density (cm-3), bulk speed (km/sec), and azimuthal and polar flow angles (degrees). Also included in each record is the RMS dispersion of the derived, averaged quantities.  Measurements made inside the Venusian bow shock were mostly excluded. The ASCII hourly data here are described in plain text files (*.txt). Orbital data in heliocentric or Venus-centered coordinates are provided with both datatypes. The hourly data may also be browsed, plotted, and retrieved through the COHOWeb data system.  Merged solar wind magnetic field and plasma data from PVO, transformed into more convenient heliographic/RTN coordinates, are available in COHO directory PIONEER_VENUS/MERGED.
DOI: 10.48322/d046-sc88
title: Pioneer Venus Orbiter(PVO) hourly averaged magnetic field data

description: This data set includes hourly averages of the interplanetary magnetic field magnitude and vector components measured by the Pioneer Venus Orbiter. The magnetic field data and spacecraft coordinates are provided in the Venus Solar Observer (VSO) system. Data collection periods inside the Venusian bow shock have been removed and hour averages have computed for those data points. Note that the BT values are computed from magnitudes of high resolution (1/4 sec.) vectors and are actually overlapped two-hour averages computed every hour to avoid potential aliasing effects from non-overlapping averages. The vector component averages are also overlapped in the same manner. Also note that BT will generally be higher than the magnitude of the hour-average field vector, so the latter should not be used to compute magnitude. Data records for hours 8-10 of July 3, 1979 have been removed since the data values are erroneous. Two-minute overlapping averages without the bow shock cuts were previously archived at NSSDC as dataset 78-051A-12G for data from 1978-12-06 through 1984-09-30 (this data set now extends through 1992-10-08, the end of the PVO mission). Detailed questions on the removal procedure should be directed to Chris Russell. This data was supplied by Janet Luhmann (now at UC-Berkeley) and Muriel Kniffen of the UCLA PVO magnetometer team in support of PVO data archiving and the COHO program. A transformed version of this data set in heliographic & RTN coordinates may be found in COHO directory PIONEER_VENUS/MERGED and can also be plotted on-line using the COHOWeb system.
DOI: 10.15468/dl.tq6j62
title: Occurrence Download

description: A dataset containing 55 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rhinopetitia potamorhachia",
 "DecimalLatitude is not null",
 "DecimalLongitude is not null"
 ]
}

 The dataset includes 55 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006414-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48322/w7gn-qf05
title: Pioneer 11 Ultraviolet Photometer Daily Cruise Data

description: This Pioneer 11 UV photometer data set contains daily averages of the spin-averaged short and long wavelength channels from
April 6, 1973 onward.  These data are used to study the interaction of the solar wind with the interstellar medium by measurements of spatial and temporal
variations of the intensity of backscattered solar Lyman alpha emission at 1216 A and of the solar Helium line at 584 A.
DOI: 10.15468/dl.d3466v
title: Occurrence Download

description: A dataset containing 36 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "PublishingOrg is 28eb1a3f-1c15-4a95-931a-4af90ecb574d",
 "TaxonKey is Campomanesia adamantium"
 ]
}

 The dataset includes 36 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006412-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5tt34a
title: Occurrence Download

description: A dataset containing 75 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "NetworkKey is 99d66b6c-9087-452f-a9d4-f15f2c2d0e7e",
 "TaxonKey is Chordata"
 ]
 },
 {
 "and" : [
 "TaxonKey is one of (Pulsatrix perspicillata [GBIF Backbone Taxonomy], Strix virgata [GBIF Backbone Taxonomy], Strix huhula [GBIF Backbone Taxonomy])",
 "EventDate 2005-01-01-2024-12-31",
 "Country is one of (Brazil, unknown or invalid, Argentina, Paraguay)"
 ]
 }
 ]
}

 The dataset includes 75 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006415-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48322/95ch-nq42
title: Pioneer 11 Trapped Radiation Detector (TRD) 1-Hour Count Rates

description: Hourly count rates from UCSD Trapped Radiation Detector 
(TRD) carried on Pioneer 11.  Included are four rates, C1 and C3 from the 
Cerenkov counter and M1L and M3L from the Minimum Ionizing Particle Counter.  
C1 corresponds to >480 MeV/n ions (typically 80% protons and 20% Z>1 nuclei).  
C3 corresponds to >650 MeV/n ions (typically 30% protons and 70% Z>1 nuclei).  
M1L corresponds to >80 MeV/n ions (typically 90% protons and 10% Z>1 nuclei). 
M3L corresponds to 80-300 MeV protons (50%) and >80 MeV/n Z>1 nuclei (50%).  
The data are ftp-accessible in annual ASCII files and via FTPBrowser.  
The hourly averages were computed at NSSDC from 30-min data still offline 
(as of Feb. 2009).
DOI: 10.15468/dl.xgryy6
title: Occurrence Download

description: A dataset containing 67654 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Celastrus",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 }
 ]
}

 The dataset includes 67654 records from 502 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006374-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18112/openneuro.ds001972.v1.0.3
title: SVNDL anatomical data
DOI: 10.48322/98mj-g807
title: Pioneer 11 Geiger Tube Telescope (GTT) 1-Hour Count Rates

description: Hourly count rates from U. Iowa Geiger Tube Telescope (GTT)
carried on Pioneer 11.  There are five rates: electrons > 0.06 MeV plus protons
> 25 MeV; e > 5 MeV plus p > 30 MeV; e >0.55 MeV plus p > 6.6 MeV; e > 21 MeV
plus p > 80 MeV; e > 31 MeV plus p > 80 MeV.  The data are ftp-accessible in
annual ASCII files and via FTPBrowser.  The hourly averages were computed at
NSSDC from 15-min data still offline (as of Feb. 2009).
DOI: 10.48322/8xym-e346
title: Pioneer 11 Magnetometer 1-hr data

description: This data set contains Pioneer 11 1-hr averaged magnetic field vectors in RTN coordinates during the cruise phase in ASCII format.
DOI: 10.5281/zenodo.18601550
title: ARCHITECTURAL DEVELOPMENT OF BUKHARA DURING THE SHAYBONIY ERA (EXAMPLE OF ABDULLAKHAN II'S REIGN)

description: This article is devoted to the study of the architectural development and urban planning of Bukhara during the Shayboni dynasty, particularly under the rule of Abdullakhan II. The article provides information on cultural and educational constructions carried out under the guidance of Khoja Islam and Khoja Sa’d, including the Gavkushon and Joybor madrasas, the Minorai Kalon ensemble, trade domes such as Toqi Zargaron, Toqi Telpakfurushon, and Toqi Sarrofon, as well as the Abdullakhan and Modari Khan madrasas.
DOI: 10.5281/zenodo.18601549
title: ARCHITECTURAL DEVELOPMENT OF BUKHARA DURING THE SHAYBONIY ERA (EXAMPLE OF ABDULLAKHAN II'S REIGN)

description: This article is devoted to the study of the architectural development and urban planning of Bukhara during the Shayboni dynasty, particularly under the rule of Abdullakhan II. The article provides information on cultural and educational constructions carried out under the guidance of Khoja Islam and Khoja Sa’d, including the Gavkushon and Joybor madrasas, the Minorai Kalon ensemble, trade domes such as Toqi Zargaron, Toqi Telpakfurushon, and Toqi Sarrofon, as well as the Abdullakhan and Modari Khan madrasas.
DOI: 10.48322/kmpy-ab37
title: Pioneer 11 Magnetometer 15-min data

description: Pioneer 11 15-min averaged magnetic field vectors in RTN coordinates, with covariances, cruise phase, ASCII
DOI: 10.12751/g-node.bqni9h
title: Whole-cell patch-clamp electrophysiology data from Wengert et al., 2026

description: Raw and analyzed data for patch-clamp electrophysiology experiments is included with associated metadata for all recordings.
description: IsSupplementTo: Wengert Eric R, Liebergall Sophie R, Jimenez Teresa, Cheng Melody A, Markwalter Kelly H, Clatot Jerome, Hong Yerahm, Arias Leroy, Marsh Eric D, Zhang Xiaohong, Tsetsenis Theodoros, Somarowthu Ala, Akizu Naiara, Goldberg Ethan M (2024) Impaired excitability of fast-spiking neurons in a novel mouse model of KCNC1 epileptic encephalopathy eLife 13:RP103784 (https://doi.org/10.7554/eLife.103784)