cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.31000066
title: Databases (NTT, KEELE, and NoiseX) for Fundamental Frequency (Pitch) Extraction in Noisy Speech Signal.

description: The NTT database included speech samples from four male and four female speakers. Each speech signal consisted of approximately 149 10-second-long Japanese sentences sampled at 10 kHz with a 3.4 kHz band limit. From the KEELE database, we utilize five male and five female speech signals spoken in English. The total length of the ten speeches is approximately 6 minutes. The speech signals were sampled at a data rate of 16 kHz. Additionally, babble noise, train noise, and HF channel noise were extracted from the NOISEX-92 database.
DOI: 10.6084/m9.figshare.31000066.v2
title: Databases (NTT, KEELE, and NoiseX) for Fundamental Frequency (Pitch) Extraction in Noisy Speech Signal.

description: The NTT database included speech samples from four male and four female speakers. Each speech signal consisted of approximately 149 10-second-long Japanese sentences sampled at 10 kHz with a 3.4 kHz band limit. From the KEELE database, we utilize five male and five female speech signals spoken in English. The total length of the ten speeches is approximately 6 minutes. The speech signals were sampled at a data rate of 16 kHz. Additionally, babble noise, train noise, and HF channel noise were extracted from the NOISEX-92 database.
DOI: 10.6084/m9.figshare.31000066.v1
title: Databases (NTT, KEELE, and NoiseX) for Fundamental Frequency (Pitch) Extraction in Noisy Speech Signal.

description: The NTT database included speech samples from four male and four female speakers. Each speech signal consisted of approximately 149 10-second-long Japanese sentences sampled at 10 kHz with a 3.4 kHz band limit. From the KEELE database, we utilize five male and five female speech signals spoken in English. The total length of the ten speeches is approximately 6 minutes. The speech signals were sampled at a data rate of 16 kHz. Additionally, babble noise, train noise, and HF channel noise were extracted from the NOISEX-92 database.
DOI: 10.18112/openneuro.ds007358.v1.0.0
title: A subset of large-scale EEG dataset (India + Tanzania)
DOI: 10.5281/zenodo.18481207
title: Material projects data
DOI: 10.5281/zenodo.18481208
title: Material projects data
DOI: 10.5281/zenodo.18480437
title: SuperDARN data in netCDF format (2012-May)

description: 2012-May SuperDARN radar data in netCDF format. These files were produced using version 3.0 of the public FitACF algorithm, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.


The RST is available here: https://github.com/SuperDARN/rst



The research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation.
Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications.
A brief statement on how to acknowledge use of SuperDARN data is provided below.




Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication.
A listing of radars and PIs with contact information can be found here:
(SuperDARN Radar Overview)



Recommended form of acknowledgement for the use of SuperDARN data:



'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'
DOI: 10.5281/zenodo.6520769
title: SuperDARN data in netCDF format (2012-May)

description: 2012-May SuperDARN radar data in netCDF format. These files were produced using version 3.0 of the public FitACF algorithm, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.


The RST is available here: https://github.com/SuperDARN/rst



The research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation.
Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications.
A brief statement on how to acknowledge use of SuperDARN data is provided below.




Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication.
A listing of radars and PIs with contact information can be found here:
(SuperDARN Radar Overview)



Recommended form of acknowledgement for the use of SuperDARN data:



'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'
DOI: 10.24403/jp.1529583
title: Teaching Library meets School to go! : Transformative Bibliotheksdidaktik und die Nöte der Bildung / Lilia Uslowa
DOI: 10.6084/m9.figshare.31249912
title: INDIGENOUS CHEMISTRY KNOWLEDGE FOCUS GROUP TWO FEEDBACK

description: This study focused on the significance of Indigenous chemistry knowledge on Western chemistry education. A descriptive qualitative research design was employed in the study. Focus groups interviews, observations and document analysis were used to collect data from 29 purposively sampled pre-service science teachers. For data analysis, constant comparison data analysis was used. The study established that (i) Indigenous chemistry knowledge and Western chemistry knowledge have a common empirical foundation and have a function of resolving real-world challenges, (ii) Indigenous chemistry knowledge can be used as chemistry prior knowledge for Western chemistry knowledge and chemistry contextualization and (iii) applying Indigenous chemistry knowledge in Western chemistry education enhances learner engagement, meaningful learning experiences and academic performance.
DOI: 10.6084/m9.figshare.31249912.v1
title: INDIGENOUS CHEMISTRY KNOWLEDGE FOCUS GROUP TWO FEEDBACK

description: This study focused on the significance of Indigenous chemistry knowledge on Western chemistry education. A descriptive qualitative research design was employed in the study. Focus groups interviews, observations and document analysis were used to collect data from 29 purposively sampled pre-service science teachers. For data analysis, constant comparison data analysis was used. The study established that (i) Indigenous chemistry knowledge and Western chemistry knowledge have a common empirical foundation and have a function of resolving real-world challenges, (ii) Indigenous chemistry knowledge can be used as chemistry prior knowledge for Western chemistry knowledge and chemistry contextualization and (iii) applying Indigenous chemistry knowledge in Western chemistry education enhances learner engagement, meaningful learning experiences and academic performance.
DOI: 10.6084/m9.figshare.31249912.v2
title: INDIGENOUS CHEMISTRY KNOWLEDGE FOCUS GROUP TWO FEEDBACK

description: This study focused on the significance of Indigenous chemistry knowledge on Western chemistry education. A descriptive qualitative research design was employed in the study. Focus groups interviews, observations and document analysis were used to collect data from 29 purposively sampled pre-service science teachers. For data analysis, constant comparison data analysis was used. The study established that (i) Indigenous chemistry knowledge and Western chemistry knowledge have a common empirical foundation and have a function of resolving real-world challenges, (ii) Indigenous chemistry knowledge can be used as chemistry prior knowledge for Western chemistry knowledge and chemistry contextualization and (iii) applying Indigenous chemistry knowledge in Western chemistry education enhances learner engagement, meaningful learning experiences and academic performance.
DOI: 10.15468/dl.z38e86
title: Occurrence Download

description: A dataset containing 69206 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Spatula versicolor"
 ]
}

 The dataset includes 69206 records from 93 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011438-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18481445
title: Millie Nice (LiDAR) May 30 2025

description: This orthomosaic of Ipan, Guam was created from 102 images taken on May 30 2025, at 150ft AGL, with a DJI Matrice 350 . The mission was planned using the DJI Pilot application and post-processed using DJI Terra.

This project was made possible through funding by the following grant(s): NACD (Award No. HQ00342020012).
description: Disclaimer: The following aerial imagery is intended solely for research purposes related to the assessment of the captured area. It is strictly prohibited to distribute this imagery to any unauthorized individuals or third-party entities without prior authorization. All drone imagery was obtained in accordance with FAA guidelines and applicable local laws, with all necessary authorizations secured to ensure safe and legal operation.

The University of Guam Drone Corps funded by NASA Guam Space Grant and NASA Guam EPSCoR retain all rights to the aerial imagery, including but not limited to copyrights and intellectual property rights. Any unauthorized modification, reproduction, or distribution of the imagery is strictly prohibited.

By using this data, you acknowledge and agree to abide by the terms and conditions set forth in this disclaimer.

 

 

Privacy Disclaimer: The aerial imagery captured for assessment may inadvertently include images of private property and individuals. While every effort has been made to respect privacy, it is possible that identifiable information or sensitive locations may be visible in the imagery. University of Guam Drone Corps and related parties disclaim any responsibility for the unintentional collection or dissemination of such information. The recipient(s) of this imagery are urged to handle it with due care and take necessary precautions to protect the privacy rights of individuals and comply with applicable privacy laws and regulations.
DOI: 10.5281/zenodo.18481494
title: COMPARATIVE ANALYSIS OF THE EDUCATION SYSTEM OF UZBEKISTAN AND THE UNITED STATES OF AMERICA (USA)

description: This article presents a comparative analysis of the education systems of Uzbekistan and the United States. The study examines statistical indicators of educational financing models, higher education enrollment rates, and teaching methodologies in both countries. It highlights the differences and similarities between recent educational reforms in Uzbekistan and the decentralized education system of the USA.
DOI: 10.5281/zenodo.18481495
title: COMPARATIVE ANALYSIS OF THE EDUCATION SYSTEM OF UZBEKISTAN AND THE UNITED STATES OF AMERICA (USA)

description: This article presents a comparative analysis of the education systems of Uzbekistan and the United States. The study examines statistical indicators of educational financing models, higher education enrollment rates, and teaching methodologies in both countries. It highlights the differences and similarities between recent educational reforms in Uzbekistan and the decentralized education system of the USA.
DOI: 10.5281/zenodo.18194438
title: Ipseity Daily Data

description: At what rate do individuals say they are X?

Begining on 2025-07-08, I surveyed a small random sample of American adults on a daily cadence.  They responded to many items of the form: Does <signifier> describe you today?

The file ipseity-daily-aggregated.csv in this repository contains the aggregated results through 2025-07-28.  The columns are as follows:



signifier - a word, phrase or emoji

yes_count - the number of respondents who answered yes (aggregated all-time).

no_count - the number of respondents who answered no (aggregated all-time).

prevalence_per_10k - an estimate of the prevalence per 10,000.  If we were to survey 10,000 American adults, how many would we expect to respond yes to this signifier?  The number is calculated as yes_count / (yes_count + no_count) * 10,000.

earliest_obs_date - this date represents the first time this particular signifier was ever displayed to a respondent.  Signifiers are chosen with stochasticity from a long list; new signifiers are sometimes added, old signifiers are sometimes deleted, and a signifier may be moved higher or lower in priority for sampling.

latest_obs_date - the date closest to the present date on which signifier was most recently presented to a respondent.


Version created on 2026-01-09 — cumulative data.
DOI: 10.15468/dl.6pber7
title: Occurrence Download

description: A dataset containing 970 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Salpiglossis sinuata"
 ]
}

 The dataset includes 970 records from 101 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007640-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.djhyc4
title: Occurrence Download

description: A dataset containing 1234 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Apodiformes)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((-60 30,-30 30,-30 60,-60 60,-60 30))"
 ]
}

 The dataset includes 1234 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063471-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.scy53c
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pyralis farinalis",
 "Country is Ireland",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063473-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2n858s
title: Occurrence Download

description: A dataset containing 53159 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Acer saccharum)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 53159 records from 240 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063442-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d8k549
title: Occurrence Download

description: A dataset listing the 378 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-87.66653 20.62729,-87.57766 20.62729,-87.57766 20.70899,-87.66653 20.70899,-87.66653 20.62729))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Tracheophyta"
 ]
}

 The dataset's 378 records were derived from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063440-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6gtttb
title: Occurrence Download

description: A dataset containing 65 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pyralis farinalis",
 "Country is Japan",
 "HasCoordinate is true"
 ]
}

 The dataset includes 65 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063474-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wdunua
title: Occurrence Download

description: A dataset containing 694 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pyralis farinalis",
 "Country is Russian Federation",
 "HasCoordinate is true"
 ]
}

 The dataset includes 694 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063476-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kjgcu9
title: Occurrence Download

description: A dataset containing 97 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hydrangea caerulea"
 ]
}

 The dataset includes 97 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063477-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ph3gzn
title: Occurrence Download

description: A dataset containing 46873 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Myrtus communis)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 46873 records from 303 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063475-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v9zxdu
title: Occurrence Download

description: A dataset containing 48 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Cenocrinus asterius"
 ]
}

 The dataset includes 48 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063478-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rj78f6
title: Occurrence Download

description: A dataset containing 70 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Procellariiformes)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((60 60,90 60,90 90,60 90,60 60))"
 ]
}

 The dataset includes 70 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063479-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hdbfm4
title: Occurrence Download

description: A dataset containing 2308 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is COL.28_2",
 "Geometry POLYGON((-73.06273 7.14367,-73.06322 7.13124,-73.05089 7.12826,-73.04186 7.13778,-73.04489 7.15038,-73.05641 7.15059,-73.06273 7.14367))",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 2308 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063482-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p6q5f5
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Musophagiformes)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((-90 60,-60 60,-60 90,-90 90,-90 60))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063483-250920141307145/datasets/export for details.
DOI: 10.15468/dl.zn7x5p
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Musophagiformes)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((-120 60,-90 60,-90 90,-120 90,-120 60))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063484-250920141307145/datasets/export for details.
DOI: 10.15468/dl.xh3n3b
title: Occurrence Download

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

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063485-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17299054
title: Dataset
DOI: 10.5281/zenodo.17299055
title: Dataset
DOI: 10.15468/dl.j4cqaq
title: Occurrence Download

description: A dataset containing 35220 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Melanoplus differentialis"
 ]
}

 The dataset includes 35220 records from 50 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063486-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nyjeyh
title: Occurrence Download

description: A dataset containing 126 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Mytilaria laosensis)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 126 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063488-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tspg6j
title: Occurrence Download

description: A dataset containing 25 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hydrangea chungii"
 ]
}

 The dataset includes 25 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063490-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uvmkdg
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Musophagiformes)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((-150 60,-120 60,-120 90,-150 90,-150 60))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063491-250920141307145/datasets/export for details.