cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.u5rt7b
title: Occurrence Download

description: A dataset containing 31158 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Maculinea nausithous",
 "Country is one of (Albania, Austria, Bosnia and Herzegovina, Belgium, Bulgaria, Belarus, Switzerland, Cyprus, Czechia, Germany, Denmark, Estonia, Spain, Finland, France, United Kingdom of Great Britain and Northern Ireland, Greece, Croatia, Hungary, Ireland, Italy, Lithuania, Luxembourg, Latvia, Moldova, Republic of, Montenegro, North Macedonia, Malta, Netherlands, Norway, Poland, Portugal, Romania, Serbia, Sweden, Slovenia, Slovakia, Türkiye, Ukraine, Kosovo)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 31158 records from 103 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016486-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/u3nnk5
title: Arctic Lakes Atlantic cod

description: Biological data from cod collected in 2003, 2004 and 2005 from Ogac, Qasigialiminiq and Tariujarusiq Lakes on Baffin Island, Nunavut, Canada. Cod were collected by hook-and-line, gill net and minnow trap. Data include sex, maturity, length, round weight, dressed weight, liver weight, gonad weight, age and age estimate confidence score.
DOI: 10.6084/m9.figshare.30402579.v1
title: Reproducing kernel-based semiparametric functional smoothed score estimation with binary responses

description: Functional data classification has gained increasing utility in the modern statistical learning era. In this article, we investigate the generalization ability and the Fisher consistency of the smoothed score (SS) classifier on the intrinsic infinite-dimensional functional data both theoretically and numerically. Formulating the empirical risk minimization based on a regularized smoothed non-convex loss function, we first establish a rigorous error bound on the misclassification rate. The theoretical results reveal a trade-off between the choice of a tuning parameter and the size of a candidate function class. Additionally, a nonregular convergence rate of the SS estimation is derived in L2 norm that aligns with hn−(1−ν)n−μ2(μ+1), as the bandwidth hn of the smoothed loss is shrunk to 0. By projecting the functional data onto one specific direction over a reproducing kernel Hilbert space where the estimated function is expected to deliver desirable performance, we address the problem of slope function estimation. Computationally, we tackle the nonconvex optimization by developing an efficient proximal gradient algorithm. Finally, the finite sample results in simulation studies as well as a real data analysis from the ADNI study demonstrate the favorable performance of the proposed method compared with some popular classifiers in terms of prediction and estimation.
DOI: 10.15468/dl.ephjdf
title: Occurrence Download

description: A dataset containing 35 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Poranopsis sinensis",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 }
 ]
}

 The dataset includes 35 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016490-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7dutwy
title: Occurrence Download

description: A dataset containing 24 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mikrogeophagus altispinosus",
 "DecimalLatitude is not null",
 "DecimalLongitude is not null"
 ]
}

 The dataset includes 24 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016492-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m78nh4
title: Occurrence Download

description: A dataset containing 9020 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lepidocolaptes squamatus"
 ]
}

 The dataset includes 9020 records from 54 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016491-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.szztds
title: Occurrence Download

description: A dataset containing 244 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Carlowrightia serpyllifolia",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 244 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016493-260208012135463/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.30676538
title: Bias Control for M-Quantile-Based Small Area Estimators

description: Projective outlier-robust M-quantile-based small area estimators can be substantially biased when the sample data contain representative outliers. In this article we propose two new predictive type bias corrected versions of these estimators for continuous and discrete outcomes. Given both area level and individual level outliers in the population, these new estimators are more efficient than the robust-predictive and robust-projective estimators that have been proposed in the small area estimation literature. We also propose two estimators of the prediction mean-squared error of these estimators: one based on Taylor linearization and the other based on a new semi-parametric bootstrap method. We summarize the empirical evidence for these theoretical results in this article, while in the supplementary material we describe in more detail how the properties of these M-quantile-based small area estimators have been assessed in model-based and design-based simulations, as well as in a realistic application focusing on estimation of average income and unemployment rates for local labor market areas in Italy. Supplementary materials for this article are available online, including a standardized description of the materials available for reproducing the work.
DOI: 10.6084/m9.figshare.30676538.v1
title: Bias Control for M-quantile-based Small Area Estimators

description: Projective outlier-robust M-quantile-based small area estimators can be substantially biased when the sample data contain representative outliers. In this paper we propose two new predictive type bias corrected versions of these estimators for continuous and discrete outcomes. Given both area level and individual level outliers in the population, these new estimators are more efficient than the robust-predictive and robust-projective estimators that have been proposed in the small area estimation literature. We also propose two estimators of the prediction mean-squared error of these estimators: one based on Taylor linearization and the other based on a new semi-parametric bootstrap method. We summarize the empirical evidence for these theoretical results in this paper, while in the Supplementary Material we describe in more detail how the properties of these M-quantile-based small area estimators have been assessed in model-based and design-based simulations, as well as in a realistic application focusing on estimation of average income and unemployment rates for local labor market areas in Italy.
DOI: 10.6084/m9.figshare.30676538.v2
title: Bias Control for M-Quantile-Based Small Area Estimators

description: Projective outlier-robust M-quantile-based small area estimators can be substantially biased when the sample data contain representative outliers. In this article we propose two new predictive type bias corrected versions of these estimators for continuous and discrete outcomes. Given both area level and individual level outliers in the population, these new estimators are more efficient than the robust-predictive and robust-projective estimators that have been proposed in the small area estimation literature. We also propose two estimators of the prediction mean-squared error of these estimators: one based on Taylor linearization and the other based on a new semi-parametric bootstrap method. We summarize the empirical evidence for these theoretical results in this article, while in the supplementary material we describe in more detail how the properties of these M-quantile-based small area estimators have been assessed in model-based and design-based simulations, as well as in a realistic application focusing on estimation of average income and unemployment rates for local labor market areas in Italy. Supplementary materials for this article are available online, including a standardized description of the materials available for reproducing the work.
DOI: 10.15468/dl.kmh8b2
title: Occurrence Download

description: A dataset containing 7692 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lactuca indica",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 }
 ]
}

 The dataset includes 7692 records from 182 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016495-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mdgceu
title: Occurrence Download

description: A dataset containing 16231 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Maculinea teleius",
 "Country is one of (Albania, Austria, Bosnia and Herzegovina, Belgium, Bulgaria, Belarus, Switzerland, Cyprus, Czechia, Germany, Denmark, Estonia, Spain, Finland, France, United Kingdom of Great Britain and Northern Ireland, Greece, Croatia, Hungary, Ireland, Italy, Lithuania, Luxembourg, Latvia, Moldova, Republic of, Montenegro, North Macedonia, Malta, Netherlands, Norway, Poland, Portugal, Romania, Serbia, Sweden, Slovenia, Slovakia, Türkiye, Ukraine, Kosovo)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 16231 records from 164 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016494-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m6qvqb
title: Occurrence Download

description: A dataset containing 627 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Callicarpa arborea",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 }
 ]
}

 The dataset includes 627 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016496-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bn9zn6
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cephalophis lukei",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 10 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016498-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9u59bm
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Retroculus acherontos",
 "DecimalLatitude is not null",
 "DecimalLongitude is not null"
 ]
}

 The dataset includes 9 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016497-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/b9r56u
title: DFO Gulf Region Community Aquatic Monitoring Program (CAMP)

description: During 2003, the Stewardship and Environmental Science Sections of the Department of Fisheries and Oceans (DFO) Gulf region Oceans and Science Branch collaborated in developing a monitoring program to help determine the ecological health of estuaries and coastal shorelines in the southern Gulf of St. Lawrence (sGSL).

The outcome of this initiative was the Community Aquatic Monitoring Program (CAMP). One of the objectives of CAMP was to test the hypothesis that a relationship exists between the health of an estuary or coastal shoreline and the diversity and abundance of finfish and crustacean species which inhabit the littoral or near shore zone. Simply stated, an estuary which has been degraded by human activity may have fewer species or fewer individuals of certain species or more of other species than a healthy, undisturbed estuary. Other objectives of CAMP included the development of an outreach program for the DFO to interact with Environmental Non-Governmental Organization (ENGOs) to raise awareness of the ecology of estuaries and bays in sGSL and to acquire baseline data on abundance, diversity and coastal community assemblage for future comparisons.

The OBIS dataset contains a subset of the original CAMP dataset.
--As part of the CAMP protocol each species is identified according to their developmental stage which are divided into 2 categories. The young of the year (YOY) are juveniles that were born in the current year and all others are categorized as adults. Identification between the two developmental stage is done according to size (total length) that were based on information from the literature. 

The OBIS dataset is based upon the total abundance for each species per beach seine haul. The sample size is 15 m x 15 m = 225 m2). The beach seine is 30 m long by 2 m high with 6 mm mesh size). Only abundance data where the counts were greater than zero are included in this dataset. 
--The CAMP dataset also contains information on submerged aquatic vegetation - the protocol includes determination of the % cover of the 9 most common algae categories. This 'vegetation' information is not part of the OBIS dataset. 

--The CAMP dataset also includes data on water temperature, salinity and dissolved oxygen. Only the temperature data is included with this OBIS dataset.

This is the 4th version of this resource and was created in May of 2015 - it contains records from 2004 to 2014.
DOI: 10.6084/m9.figshare.31337497
title: Dataset for "Emotions, political ideology, and socially situated risk perceptions of water-related natural hazards"

description: Dataset for "Emotions, political ideology, and socially situated risk perceptions of water-related natural hazards" (under review)<br><br>
DOI: 10.6084/m9.figshare.31337497.v1
title: Dataset for "Emotions, political ideology, and socially situated risk perceptions of water-related natural hazards"

description: Dataset for "Emotions, political ideology, and socially situated risk perceptions of water-related natural hazards" (under review)<br><br>
DOI: 10.22003/xfel.eu-data-900552-00
title: DSSC commissioning
DOI: 10.15468/dl.qx92gq
title: Occurrence Download

description: A dataset containing 2133 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Callicarpa rubella",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 }
 ]
}

 The dataset includes 2133 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016502-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xqqjxp
title: Occurrence Download

description: A dataset containing 7029 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lactuca sibirica",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 }
 ]
}

 The dataset includes 7029 records from 115 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016501-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15472/7kcu4y
title: Caracterización poblacional del pepino de mar Isostichopus fuscus: una especie de alto valor comercial - Proyecto Colombia BIO

description: Este conjunto de datos comprende los registros biológicos y valores de abundancia de la especie de pepino de mar Isostichopus fuscus obtenidos mediante buceo SCUBA en 18 arrecifes rocosos entre los 4 - 26 m de profundidad, los cuales fueron evaluados por el Invemar durante la Expedición Científica Pacífico 2023 – Golfo Tribugá – Cabo Corrientes, llevada a cabo en el marco del Plan Nacional de Expediciones Científicas Marinas del Programa Colombia BIO.
DOI: 10.15468/dl.q4rmfh
title: Occurrence Download

description: A dataset containing 80 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Retroculus xinguensis",
 "DecimalLatitude is not null",
 "DecimalLongitude is not null"
 ]
}

 The dataset includes 80 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016503-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3mn2uj
title: Occurrence Download

description: A dataset containing 31 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chamaeranthemum tonduzii",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 31 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016504-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fr2gnj
title: Occurrence Download

description: A dataset containing 7695 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-110.29368 40.41105,-96.22516 40.41105,-96.22516 46.03605,-110.29368 46.03605,-110.29368 40.41105))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Cervidae",
 "Year 1993-2026"
 ]
}

 The dataset includes 7695 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016505-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/14832775
title: Berita UNDIP
DOI: 10.13012/b2idb-9622921_v3
title: Data for "Idealized Particle-Resolved Large-Eddy Simulations to Evaluate the Impact of Emissions Spatial Heterogeneity on CCN Activity"

description: This dateset contains data files necessary to replicate figures from "Idealized Particle-Resolved Large-Eddy Simulations to Evaluate the Impact of Emissions Spatial Heterogeneity on CCN Activity" submitted to Atmospheric Chemistry and Physics. 

Within the compressed folder data.zip are two subdirectories, "processed_data" and "spatial-het". The "processed_data" directory contains netCDF files which contain a subset of simulation output used in figure generation. The "spatial-het" subdirectory contains a .csv file with spatial heterogeneity values computed via an exact algorithm of the spatial heterogeneity metric described by Mohebalhojeh et al. 2025. The subdirectory "sh-patterns" contains .csv files for each emissions scenario. Each entry corresponds to a single grid cell over a domain of dimension 100x100 (lateral resolution of the computational domain employed in this paper). 

Within scripts.zip are python notebooks for generating figures. Additional python modules are included which contain helper functions for notebooks. Furthermore, a Fortran version of the spatial heterogeneity metric is included alongside shells scripts for creating a python environment in which the code can be compiled and convert into a Python module. Note that the create_env.sh and compile_nsh.sh scripts must be run prior to executing cells in notebooks to make use of the spatial heterogeneity subroutines. 

<b>*Note*:</b> New in this V3: During review, a bug regarding vertical diffusion of particles was discovered in WRF-PartMC which necessitated re-running simulations. We present new simulations with diffusion fixed. Furthermore, we have run additional simulations in response to reviewer comments--simulations with emissions turned off at t = 4 h to investigate reversible partitioning and simulations with the RH raised near saturation throughout the domain to model the effects of co-condensation. The README PDF has been updated to reflect changes to the dataset collection. Also, we have added a shell script in scripts_v3.zip which was used to process simulation output and create the data subsets contained in data_v3.zip. Lastly, notebooks were re-run with updated datasets to create manuscript figures and additional plotting routines were added for new figures pertaining to the requested simulations.
DOI: 10.15468/dl.vktk5w
title: Occurrence Download

description: A dataset containing 1114 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Camptotheca acuminata",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 }
 ]
}

 The dataset includes 1114 records from 63 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016506-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.eqw47v
title: Occurrence Download

description: A dataset containing 6009 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Leonurus japonicus",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 }
 ]
}

 The dataset includes 6009 records from 237 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016507-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jncbt5
title: Occurrence Download

description: A dataset containing 4058 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Protobothrops mucrosquamatus"
 ]
}

 The dataset includes 4058 records from 47 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016508-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.