cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.mqbkh5
title: Occurrence Download

description: A dataset containing 336 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-77.1298 -18.38594,-68.48954 -18.38594,-68.48954 -12.77232,-77.1298 -12.77232,-77.1298 -18.38594))",
 "HasGeospatialIssue is false",
 "TaxonKey is Anairetes alpinus",
 "Year 2020-2025"
 ]
}

 The dataset includes 336 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042934-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5883/bold:aeb1213
title: Overview of Barcode Index Number - BOLD:AEB1213

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.15468/dl.2fhngt
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Agrostis nivalis, Agrostis palustris coarctata, Agrostis planifolia, Agrostis planifolia calamagrostoides, Agrostis pusilla, Agrostis rubra ericetorum, Agrostis rubra ericetorum, Agrostis rubra ericetorum, Agrostis rubra hyperborea, Agrostis rubra surculifera)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Machine Observation)"
 ]
 }
 },
 "Continent is Europe",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042935-250811113504898/datasets/export for details.
DOI: 10.15468/dl.rqn3vv
title: Occurrence Download

description: A dataset containing 2129 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Colombia",
 {
 "and" : [
 "Country is Colombia",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 }
 ]
 },
 {
 "and" : [
 "TaxonKey is one of (Cyclocephala [GBIF Backbone Taxonomy])",
 "BasisOfRecord is one of (Specimen)",
 "Country is one of (Colombia)"
 ]
 }
 ]
}

 The dataset includes 2129 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042937-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b4tea4
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Fulvetta danisi",
 "Country is China",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042936-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16943271
title: Chronological Prediction of Undated Archaeological Assemblages: A Comparative Study of Bayesian Statistics and Machine Learning Approaches

description: The chronological assignment of archaeological assemblages without radiocarbon dating represents a fundamental challenge in archaeological practice. This study presents the first systematic comparison between Bayesian statistical methods and machine learning algorithms for chronological prediction of undated archaeological contexts. Using a comprehensive dataset of radiocarbon determinations from Late Neolithic to Early Bronze Age sites in Eastern Iberia, we evaluate the predictive performance of Dirichlet multinomial models against Support Vector Machines, neural networks, and ensemble methods. Archaeological variables include arrowhead typologies, metal artifacts, and Bell Beaker ceramics across six chronological phases. Results demonstrate that machine learning approaches, particularly ensemble methods, achieve superior predictive accuracy compared to traditional Bayesian methods when validated through expert archaeological assessment. Cultural markers, especially metal presence and Bell Beaker ceramics, provide significantly stronger chronological signals than lithic typological features. Temporal cross-validation reveals systematic performance degradation compared to standard validation, emphasizing the need for specialized validation protocols in archaeological contexts. Random Forest demonstrates the highest temporal robustness, while uncertainty quantification through Bayesian approaches proves valuable for identifying problematic predictions. These findings establish machine learning as a reliable tool for systematic chronological attribution of undated archaeological assemblages, with significant implications for museum collections and rescue archaeology.
DOI: 10.5281/zenodo.16943386
title: Chronological Prediction of Undated Archaeological Assemblages: A Comparative Study of Bayesian Statistics and Machine Learning Approaches

description: The chronological assignment of archaeological assemblages without radiocarbon dating represents a fundamental challenge in archaeological practice. This study presents the first systematic comparison between Bayesian statistical methods and machine learning algorithms for chronological prediction of undated archaeological contexts. Using a comprehensive dataset of radiocarbon determinations from Late Neolithic to Early Bronze Age sites in Eastern Iberia, we evaluate the predictive performance of Dirichlet multinomial models against Support Vector Machines, neural networks, and ensemble methods. Archaeological variables include arrowhead typologies, metal artifacts, and Bell Beaker ceramics across six chronological phases. Results demonstrate that machine learning approaches, particularly ensemble methods, achieve superior predictive accuracy compared to traditional Bayesian methods when validated through expert archaeological assessment. Cultural markers, especially metal presence and Bell Beaker ceramics, provide significantly stronger chronological signals than lithic typological features. Temporal cross-validation reveals systematic performance degradation compared to standard validation, emphasizing the need for specialized validation protocols in archaeological contexts. Random Forest demonstrates the highest temporal robustness, while uncertainty quantification through Bayesian approaches proves valuable for identifying problematic predictions. These findings establish machine learning as a reliable tool for systematic chronological attribution of undated archaeological assemblages, with significant implications for museum collections and rescue archaeology.
DOI: 10.5883/bold:aeb1214
title: Overview of Barcode Index Number - BOLD:AEB1214

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.15468/dl.r9vwra
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Gymnotus interruptus)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042938-250811113504898/datasets/export for details.
DOI: 10.15468/dl.8tzb22
title: Occurrence Download

description: A dataset containing 2947 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Galium aparine",
 "Country is Canada",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2947 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042940-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6073/pasta/1004e0429c94aec31367c8841f522519
title: SBC LTER: Reef: Benthic Composition Experiment: recruitment sampling

description: These data quantify the richness and abundance of mobile
 invertebrates settling and recruiting on brushes across 5 sampling
 sites (Arroyo Quemado, Naples, Isla Vista, Mohawk, Carpentaria)
 along the Santa Barbara Coast and 2 sites at Santa Cruz Island
 (San Pedro Point, and Cavern Point). Sampling began December 2021
 and is conducted seasonally every 3 months. Data are collected
 from brushes that are attached to randomly chosen rock plates
 within two circular plots at each sampling site. Plot 1 represents
 the control plot with no giant kelp removal and plot 2 represents
 the kelp clearing plot where all giant kelp are removed.
 Additionally, understory algae are removed seasonally from half of
 the rock slates for both plots (Plot 1 rock plates #1-6 and Plot 2
 rock plates #13-18). Recruitment is measured as a proportion of
 the number of individuals found on the recruitment brushes.
DOI: 10.5281/zenodo.16943265
title: Multi-layer dosage compensation of the avian Z chromosome

description: Data accompanying biorXiv article: 

Multi-layered dosage compensation of the avian Z chromosome

 https://www.biorxiv.org/content/10.1101/2024.08.20.608780v2BED (broad peak) files of MINUTE-ChIP (Epigenica) performed in female (samples B and C), male (samples D and F) and intersex (sample E) F1 generation (White Leghorn x Red Junglefowl) primary chicken embryonic fibroblasts for the following histone modifications:



H3K27ac

H3K4me3

H3K9ac

H4K16ac


Triplicates were pooled according to the methodology of the MINUTE-ChIP protocol (https://www.sciencedirect.com/science/article/pii/S2211124719310940?via%3Dihub). These correspond to "_pooled" samples. Also included are .gz BED files of all samples per histone modification.
DOI: 10.5281/zenodo.16943266
title: Multi-layer dosage compensation of the avian Z chromosome

description: Data accompanying biorXiv article: 

Multi-layered dosage compensation of the avian Z chromosome

 https://www.biorxiv.org/content/10.1101/2024.08.20.608780v2BED (broad peak) files of MINUTE-ChIP (Epigenica) performed in female (samples B and C), male (samples D and F) and intersex (sample E) F1 generation (White Leghorn x Red Junglefowl) primary chicken embryonic fibroblasts for the following histone modifications:



H3K27ac

H3K4me3

H3K9ac

H4K16ac


Triplicates were pooled according to the methodology of the MINUTE-ChIP protocol (https://www.sciencedirect.com/science/article/pii/S2211124719310940?via%3Dihub). These correspond to "_pooled" samples. Also included are .gz BED files of all samples per histone modification.
DOI: 10.15468/dl.yx2526
title: Occurrence Download

description: A dataset containing 232 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Galium aparine",
 "Country is Chile",
 "HasCoordinate is true"
 ]
}

 The dataset includes 232 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042941-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5883/bold:aea9975
title: Overview of Barcode Index Number - BOLD:AEA9975

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.15468/dl.xgk5yf
title: Occurrence Download

description: A dataset containing 408 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-99.53033 19.5547,-98.67113 19.5547,-98.67113 20.05282,-99.53033 20.05282,-99.53033 19.5547))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Ambystoma velasci"
 ]
}

 The dataset includes 408 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042942-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vuzqqd
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Agrostis rubra surculifera, Agrostis rubra vinealis, Agrostis ruprechtii, Agrostis setifolia, Agrostis setifolia, Agrostis signata coarctata, Agrostis stolonifera coarctata, Agrostis stolonifera coarctata, Agrostis stolonifera coarctata, Agrostis stolonifera coarctata)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Machine Observation)"
 ]
 }
 },
 "Continent is Europe",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042943-250811113504898/datasets/export for details.
DOI: 10.7910/dvn/0z5quq
title: Replication Data for: When Two Become One: Foreign Capital and Household Credit Expansion

description: This package contains replication code and data for "When Two Become One: Foreign Capital and Household Credit Expansion". 
Please see the Readme.pdf for details.

Authors: Lukas Diebold and Björn Richter
DOI: 10.5883/bold:aeb5438
title: Overview of Barcode Index Number - BOLD:AEB5438

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.15468/dl.4q4pug
title: Occurrence Download

description: A dataset containing 289 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Galium aparine",
 "Country is China",
 "HasCoordinate is true"
 ]
}

 The dataset includes 289 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042944-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.95ru9c
title: Occurrence Download

description: A dataset containing 637 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Fulvetta striaticollis",
 "Country is China",
 "HasCoordinate is true"
 ]
}

 The dataset includes 637 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042945-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2thvdv
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Xylocopa hirsutissima"
 ]
}

 The dataset includes 16 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042946-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wdhw25
title: Occurrence Download

description: A dataset containing 29 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Galium aparine",
 "Country is Iceland",
 "HasCoordinate is true"
 ]
}

 The dataset includes 29 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042947-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15485/2565224
title: Aggregated carbon dioxide flux and hydrometeorology data from an Amazonian palm swamp peatland in Peru: 2018, 2019, and 2022

description: This dataset contains eddy covariance carbon dioxide flux and hydrometeorological measurements made in an Amazonian palm swamp peatland near Iquitos, Peru. These data have been aggregated from half-hourly observations that are available from AmeriFlux (https://ameriflux.lbl.gov/; site PE-QFR). These data files are CSV (comma separated values) format and can be imported using Matlab, R, or Excel. Three full years of data are reported (2018, 2019 and 2022) during which time there were large differences in annual net ecosystem carbon dioxide exchange. The gap was caused by instrument malfunction and extended delays in repairs because of the Covid-19 pandemic. This research was conducted to better understand the carbon cycle of tropical peatlands, and was supported by the U.S. Department of Energy, Office of Science, Office of Biological and Environmental Research, Terrestrial Ecosystem Science Program, under Award Number DE-SC0020167.
DOI: 10.15468/dl.serk5d
title: Occurrence Download

description: A dataset containing 422461 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Colombia",
 {
 "and" : [
 "Country is Colombia",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 }
 ]
 },
 "GadmGid is one of (COL.12_2)"
 ]
}

 The dataset includes 422461 records from 329 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042872-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5883/bold:aeb6828
title: Overview of Barcode Index Number - BOLD:AEB6828

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.15468/dl.p6u5dq
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Galium aparine",
 "Country is Madagascar",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042948-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2xn7xc
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Agrostis stolonifera coarctata, Agrostis stolonifera coarctata, Agrostis stricta, Agrostis stricta, Agrostis stricta syreistchikovii, Agrostis stricta syreistchikowii, Agrostis stricta syreistschikowii, Agrostis stricta syreitschikowii, Agrostis sublaevipes, Agrostis sublaevipes)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Machine Observation)"
 ]
 }
 },
 "Continent is Europe",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 6 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042950-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x247gr
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Telmatochromis bifrenatus)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 14 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042949-250811113504898/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.29980402
title: Metadata.csv

description: Despite the declining malaria burden in endemic countries, reports of febrile episodes do not align with the current patterns of malaria transmission. This highlights the presence of non-malarial febrile illnesses (NMFIs), which are difficult to distinguish from malaria. This study assessed the country-wide prevalence of NMFIs and their patterns across various malaria transmission settings in Mainland Tanzania.
DOI: 10.6084/m9.figshare.29980402.v1
title: Metadata.csv

description: Despite the declining malaria burden in endemic countries, reports of febrile episodes do not align with the current patterns of malaria transmission. This highlights the presence of non-malarial febrile illnesses (NMFIs), which are difficult to distinguish from malaria. This study assessed the country-wide prevalence of NMFIs and their patterns across various malaria transmission settings in Mainland Tanzania.
DOI: 10.5883/bold:aeb4130
title: Overview of Barcode Index Number - BOLD:AEB4130

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.15485/2527393
title: Dataset for "Machine Learning Ensembles Can Enhance Hydrologic Predictions and Uncertainty Quantification" Willard et al. (2025).

description: This data release provides all data and code used in the paper " "Machine Learning Ensembles Can Enhance Hydrologic Predictions and Uncertainty Quantifications" Willard et al. (2025)" to model stream temperature, evaluate, and assess results. The associated manuscript explores the effect of different ensemble construction techniques across different common machine learning (ML) architectures for predictions in unmonitored basins. Modeling was done using long short-term memory (LSTM), gated recurrent unit (GRU), temporal convolution network (TCN), and extreme gradient boosting (XGBoost) models, and stream site coverage spans 1362 locations across the conterminous United States. The ensemble construction techniques investigated include ensemble by random weight initialization, differing hyperparameters, different random subsets of training data, different subselections of input features, different architectures, and Monte Carlo Dropout. The data is organized into these items items:Code repository and data for the paper " "Machine Learning Ensembles Can Enhance Hydrologic Predictions and Uncertainty Quantifications" Willard et al. (2025).Code: stream_temp_ml_regionalization.zip contains the code repositoryData to run the code:- data_dir.zip -- contains all files that should be moved to the "DATA_DIR" variable defined in the "set_env_vars.sh" script in the code repository- metadata_dir.zip -- contains all files that should be moved to the "METADATA_DIR" variable defined in the "set_env_vars.sh" script in the code repositoryData produced by the code and used in the paper:- outputs_dir.zip - contains model output and results (outputs_dir/results), model weights (outputs_dir/models), and all other outputs used for the paper including feature importances.To cite this code, please use the following BibTeX or MLA entries:bibtex:@misc{willard2025streamensembles,author = {Jared Willard and  Charuleka Varadharajan},title = {Dataset for "Machine Learning Ensembles Can Enhance Hydrologic Predictions and Uncertainty Quantification"},year = {2024},doi = {10.15485/2527393},publisher = {ESS-DIVE Repository},url = {https://data.ess-dive.lbl.gov/datasets/doi:10.15485/2527393}}MLA: Willard, Jared, et al. Dataset for "Machine Learning Ensembles Can Enhance Hydrologic Predictions and Uncertainty Quantification". 2025. ESS-DIVE Repository, doi:10.15485/2448016.