cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.z7jay2
title: Occurrence Download

description: A dataset containing 21052 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Setophaga chrysoparia (P.L.Sclater & Salvin, 1860)",
 "HasCoordinate is True",
 "Country is United States of America",
 "Year is greater than or equal to 2000",
 "Year is less than or equal to 2025",
 "Month is greater than or equal to January",
 "Month is less than or equal to December",
 "HasGeospatialIssue is False",
 "DecimalLatitude is greater than or equal to 18.00",
 "DecimalLatitude is less than or equal to 72.00",
 "DecimalLongitude is greater than or equal to -140.00",
 "DecimalLongitude is less than or equal to -68.00"
 ]
}

 The dataset includes 21052 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0282603-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dbcs5m
title: Occurrence Download

description: A dataset containing 290768 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Lemna minor L."
 ]
}

 The dataset includes 290768 records from 1088 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036563-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mwtsy6
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 32 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021960-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h9f5s4
title: Occurrence Download

description: A dataset containing 300278611 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Plantae"
 ]
}

 The dataset includes 300278611 records from 7107 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037356-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.me64fy
title: Occurrence Download

description: A dataset containing 632398 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Insecta",
 "Year is 1972"
 ]
}

 The dataset includes 632398 records from 1480 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007420-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bjfygx
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Icerya purchasi",
 "Country is Bolivia (Plurinational State of)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 4 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011721-250711103210423/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.29561519.v1
title: DEscription of supplementary files for the paper "Identifying associations between maize leaf transcriptome and bacteriome during different diurnal periods"

description: Bacteria that live on plant leaves, known as the phyllosphere microbiome, play important roles in plant health. Both the plant and these bacteria follow daily cycles, known as circadian rhythms, and are affected by changes from day to night. However, we still don’t fully understand how the plant and its microbes interact throughout the day.In this study, we looked at corn plants (maize) grown in the field and collected data from both the plant's gene activity and the types of bacteria living on its leaves. We focused on two specific times: midday and midnight.We found that the plant's genes behaved as expected, showing clear changes between day and night. Groups of genes that changed together were linked to important functions like handling heat, making energy through photosynthesis, and working with DNA and RNA.When we looked at the bacteria on the leaves, we didn’t see big differences in the number or types of bacteria (alpha diversity) between day and night. But we did find that the overall makeup of the bacterial community (beta diversity) shifted depending on the time of day. Some key types of bacteria were only found during the day or only at night, suggesting they might play different roles depending on the time.We also found t a larger number of associations between plant genes and bacteria at night. In particular, some plant genes that control daily rhythms were closely linked to specific types of bacteria.Overall, our results show that there are daily patterns in how corn plants and their leaf bacteria interact, and that the plant’s internal clock might help shape which bacteria are present and what they do.
DOI: 10.15468/dl.grjymz
title: Occurrence Download

description: A dataset containing 8013 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Isotoma viridis"
 ]
}

 The dataset includes 8013 records from 175 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011722-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3reres
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Metalimnadia serratura"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011723-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.4121/ac09ebb7-df66-41f5-9fe1-eaafeb9bd6d0
title: Delft3D FM model input and results for sand wave models with varying sediment transport formulation and bed slope parameter, underlying Continental Shelf Research article: "The role of sediment transport processes in shaping offshore sand waves"

description: This dataset contains the model input and output for the Delft3D FM model runs used in the research article:Overes, P. H. P., Borsje, B. W., Luijendijk, A. P., Reyns, J. & Hulscher, S. J. M. H. (2025). The role of sediment transport processes in shaping offshore sand waves, Continental Shelf Research, https://doi.org/10.1016/j.csr.2025.105513The aim of this study is to understand the impact of the way we parameterize sediment transport processes on the development of sand wave shapes and thereby improve the ability of our morphological models to predict in-situ sand wave dynamics in different areas. To this end 2DV hydro-morphodynamic Delft3D FM sand wave models were created for two case study locations (HKZ and Texel, see publication for details) in the Dutch North Sea. These models were run for the period between two bathymetric measurements (2008-2010 at Texel and 2012-2016 at HKZ) to allow for morphodynamic validation. To test the influence of different sediment transport formulations models were run with both the Van Rijn 1993 and the Van Rijn 2007 transport formulations. These were combined with varying values (0.5-5) of the longitudinal bed slope parameter (alpha_bs). The simulations revealed that the Van Rijn 2007 formulation, which predicts relatively lower transport rates, and thus allows for lower bed slope-induced transports, is better capable of preserving the steep slopes of sand waves, while limiting sand wave growth. Lastly, for the best performing settings a model was run using only tidal forcing to test the influence of non-tidal hydrodynamics. This dataset contains the model input and outpur for these runs. For the specifics about the input and ooutput file structure reference is made to the user manual(s): https://content.oss.deltares.nl/delft3dfm2d3d/<br><br>
DOI: 10.4121/ac09ebb7-df66-41f5-9fe1-eaafeb9bd6d0.v1
title: Delft3D FM model input and results for sand wave models with varying sediment transport formulation and bed slope parameter, underlying Continental Shelf Research article: "The role of sediment transport processes in shaping offshore sand waves"

description: This dataset contains the model input and output for the Delft3D FM model runs used in the research article:Overes, P. H. P., Borsje, B. W., Luijendijk, A. P., Reyns, J. & Hulscher, S. J. M. H. (2025). The role of sediment transport processes in shaping offshore sand waves, Continental Shelf Research, https://doi.org/10.1016/j.csr.2025.105513The aim of this study is to understand the impact of the way we parameterize sediment transport processes on the development of sand wave shapes and thereby improve the ability of our morphological models to predict in-situ sand wave dynamics in different areas. To this end 2DV hydro-morphodynamic Delft3D FM sand wave models were created for two case study locations (HKZ and Texel, see publication for details) in the Dutch North Sea. These models were run for the period between two bathymetric measurements (2008-2010 at Texel and 2012-2016 at HKZ) to allow for morphodynamic validation. To test the influence of different sediment transport formulations models were run with both the Van Rijn 1993 and the Van Rijn 2007 transport formulations. These were combined with varying values (0.5-5) of the longitudinal bed slope parameter (alpha_bs). The simulations revealed that the Van Rijn 2007 formulation, which predicts relatively lower transport rates, and thus allows for lower bed slope-induced transports, is better capable of preserving the steep slopes of sand waves, while limiting sand wave growth. Lastly, for the best performing settings a model was run using only tidal forcing to test the influence of non-tidal hydrodynamics. This dataset contains the model input and outpur for these runs. For the specifics about the input and ooutput file structure reference is made to the user manual(s): https://content.oss.deltares.nl/delft3dfm2d3d/<br><br>
DOI: 10.15468/dl.we4uya
title: Occurrence Download

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

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011725-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c439ut
title: Occurrence Download

description: A dataset containing 264 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lepidium obtusum"
 ]
}

 The dataset includes 264 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011724-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cn8u9z
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Icerya purchasi",
 "Country is Cabo Verde",
 "HasCoordinate is true"
 ]
}

 The dataset includes 4 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011726-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8upqd9
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Icerya purchasi",
 "Country is Chile",
 "HasCoordinate is true"
 ]
}

 The dataset includes 7 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011727-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bbrfeq
title: Occurrence Download

description: A dataset containing 10626 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Dictyosperma album, Dieffenbachia seguine, Dillenia indica, Dillenia suffruticosa, Dioscorea alata, Dioscorea esculenta, Diospyros blancoi, Diospyros nigra, Dipteryx odorata, Dipteryx punctata)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 10626 records from 401 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011728-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15880186
title: Pathologic Chemotherapy Response Score (CRS) Predicts Pattern of Recurrence in Advanced High-Grade Serous Ovarian Cancer

description: Dataset associated with the papaer "Pathologic Chemotherapy Response Score (CRS) Predicts Pattern of Recurrence in Advanced High-Grade Serous Ovarian Cancer".
DOI: 10.5281/zenodo.15880187
title: Pathologic Chemotherapy Response Score (CRS) Predicts Pattern of Recurrence in Advanced High-Grade Serous Ovarian Cancer

description: Dataset associated with the papaer "Pathologic Chemotherapy Response Score (CRS) Predicts Pattern of Recurrence in Advanced High-Grade Serous Ovarian Cancer".
DOI: 10.15468/dl.4nf8ju
title: Occurrence Download

description: A dataset containing 132 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Glebionis coronaria",
 "Country is Chile",
 "HasCoordinate is true"
 ]
}

 The dataset includes 132 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011730-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/zn4tiv
title: Replication Data for: 'Systemic Discrimination: Theory and Measurement'

description: The data and programs replicate tables and figures from "Systemic Discrimination: Theory and Measurement," by Bohren, Hull, and Imas. Please see the README file for additional details.
DOI: 10.15468/dl.pvcyzk
title: Occurrence Download

description: A dataset containing 30 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Icerya purchasi",
 "Country is China",
 "HasCoordinate is true"
 ]
}

 The dataset includes 30 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011731-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15470305
title: Greek Folk Music Dataset

description: This work contains a dataset of Greek Aegean folk music tunes focusing on two prominent dances, syrtos and balos, and associated feature-pattern analysis.

About the Dataset

This dataset was developed to support research in computational musicology, providing access to Greek musical heritage through manually transcribed MIDI scores, aligned lyrics, and rich metadata.

Methodology

Through pattern analysis (using a tailored version of [PatMinr](https://github.com/olivierlar/miningsuite)) and feature extraction, we examine both shared melodic structures and unique characteristics of each dance, with some examples reflecting traces of oral transmission. While metadata accompanies the collection to support organization and context, our primary emphasis is on the musical and lyrical content.

Results

Our analysis revealed that balos and syrtos dances share strong tonal, rhythmic, and melodic similarities, often functioning as a performance pair, though they differ in tonal emphases, melodic tendencies, and lyrical themes. Both dances exhibit substantial shared melodic-rhythmic patterns, reflecting common musical vocabulary across the Aegean, though each retains distinct motif preferences and regional variations influenced by oral transmission.

Usage

Researchers and enthusiasts interested in Greek folk music can utilize this dataset to study and explore the intricate musical nuances prevalent within folk traditions.

Analysis 

Note: You will need to use MATLAB with MIRToolbox and MIDIToolbox.  For code and full analysis pipelines, visit our GitHub repository.
DOI: 10.5281/zenodo.7802608
title: Greek Folk Music Dataset

description: This work contains a dataset of Greek Aegean folk music tunes focusing on two prominent dances, syrtos and balos, and associated feature-pattern analysis.

About the Dataset

This dataset was developed to support research in computational musicology, providing access to Greek musical heritage through manually transcribed MIDI scores, aligned lyrics, and rich metadata.

Methodology

Through pattern analysis (using a tailored version of [PatMinr](https://github.com/olivierlar/miningsuite)) and feature extraction, we examine both shared melodic structures and unique characteristics of each dance, with some examples reflecting traces of oral transmission. While metadata accompanies the collection to support organization and context, our primary emphasis is on the musical and lyrical content.

Results

Our analysis revealed that balos and syrtos dances share strong tonal, rhythmic, and melodic similarities, often functioning as a performance pair, though they differ in tonal emphases, melodic tendencies, and lyrical themes. Both dances exhibit substantial shared melodic-rhythmic patterns, reflecting common musical vocabulary across the Aegean, though each retains distinct motif preferences and regional variations influenced by oral transmission.

Usage

Researchers and enthusiasts interested in Greek folk music can utilize this dataset to study and explore the intricate musical nuances prevalent within folk traditions.

Analysis 

Note: You will need to use MATLAB with MIRToolbox and MIDIToolbox.  For code and full analysis pipelines, visit our GitHub repository.
DOI: 10.5281/zenodo.15880326
title: surface_albedos/ecostress

description: Surface reflectance data converted from ECOSTRESS. These files contain reflectance data converted to either "spherical reflectance" or "single-scattering albedo" where possible (denoted as 'r' and 'w' in the file headers). Files are categorised based on the object measured in a self-explanatory manner.

https://speclib.jpl.nasa.gov/https://ecostress.jpl.nasa.gov/

The ECOSTRESS spectral library includes data from three other spectral libraries:

    Johns Hopkins University (JHU)    Jet Propulsion Laboratory (JPL)    United States Geological Survey (USGS - Reston)

If you use data from the ECOSTRESS spectral library in a publication we ask that you reference the following articles:     Meerdink, S. K., Hook, S. J., Roberts, D. A., & Abbott, E. A. (2019). The ECOSTRESS spectral library version 1.0. Remote Sensing of Environment, 230(111196), 1–8.     Baldridge, A. M., S.J. Hook, C.I. Grove and G. Rivera, 2009.. The ASTER Spectral Library Version 2.0. Remote Sensing of Environment, vol 113, pp. 711-715. <PDF>

Reproduced from the ECOSTRESS Spectral Library through the courtesy of the Jet Propulsion Laboratory, California Institute of Technology, Pasadena, California. 

Data obtained from Gerardo Rivera on 4 June 2025, by Harrison Nicholls.

Data are tabulated in terms of directional-hemispheric (AKA spherical) reflectance are measured at 23 degrees from the zenith (Meerdink+19). See also https://github.com/susanmeerdink/ASTER-Spectral-Library
DOI: 10.15468/dl.jtjnfx
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is BOLD:ACH7990"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011732-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.635qnc
title: Occurrence Download

description: A dataset containing 76 records in GBIF matching the query:
SELECT
 kingdom,
 kingdomkey,
 phylum,
 phylumkey,
 class,
 classkey,
 "order",
 orderkey,
 family,
 familykey,
 genus,
 genuskey,
 species,
 specieskey,
 "year",
 IF(ISNULL(kingdomkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY kingdomkey, "year")) kingdomcount,
 IF(ISNULL(phylumkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY phylumkey, "year")) phylumcount,
 IF(ISNULL(classkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY classkey, "year")) classcount,
 IF(ISNULL(orderkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY orderkey, "year")) ordercount,
 IF(ISNULL(familykey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY familykey, "year")) familycount,
 IF(ISNULL(genuskey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY genuskey, "year")) genuscount,
 COUNT(*) occurrences,
 MIN(GBIF_TEMPORALUNCERTAINTY(eventdate, eventtime)) mintemporaluncertainty,
 MIN(COALESCE(coordinateuncertaintyinmeters, 1000)) mincoordinateuncertaintyinmeters
FROM
 occurrence
WHERE
 (CAST(occurrence.taxonkey AS INTEGER) = 3645540 OR CAST(occurrence.acceptedtaxonkey AS INTEGER) = 3645540 OR CAST(occurrence.kingdomkey AS INTEGER) = 3645540 OR CAST(occurrence.phylumkey AS INTEGER) = 3645540 OR CAST(occurrence.classkey AS INTEGER) = 3645540 OR CAST(occurrence.orderkey AS INTEGER) = 3645540 OR CAST(occurrence.familykey AS INTEGER) = 3645540 OR CAST(occurrence.genuskey AS INTEGER) = 3645540 OR CAST(occurrence.specieskey AS INTEGER) = 3645540)
 AND occurrence.hasgeospatialissues = FALSE
 AND NOT GBIF_STRINGARRAYCONTAINS(occurrence.issue, 'TAXON_MATCH_FUZZY', TRUE)
 AND (occurrence.distancefromcentroidinmeters &gt;= 2000.0 OR occurrence.distancefromcentroidinmeters IS NULL)
 AND NOT occurrence.basisofrecord IN ('FOSSIL_SPECIMEN', 'LIVING_SPECIMEN')
 AND occurrence.occurrencestatus = 'PRESENT'
 AND (occurrence.specieskey IS NOT NULL AND occurrence."year" IS NOT NULL)
GROUP BY
 occurrence.kingdom,
 occurrence.kingdomkey,
 occurrence.phylum,
 occurrence.phylumkey,
 occurrence.class,
 occurrence.classkey,
 occurrence."order",
 occurrence.orderkey,
 occurrence.family,
 occurrence.familykey,
 occurrence.genus,
 occurrence.genuskey,
 occurrence.species,
 occurrence.specieskey,
 occurrence."year"

 The dataset's 76 records were derived from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011697-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7crhwt
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Icerya purchasi",
 "Country is Congo",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011733-250711103210423/datasets/export for details.
DOI: 10.15468/dl.wsrk9t
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hypophthalmichthys nobilis",
 "Country is Afghanistan",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011734-250711103210423/datasets/export for details.