cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15493/dea.mims.119072024
title: Short-term observations of hourly bottom temperatures on the continental slope off Natal Bight, along the east coast of South Africa at location Dbn03 (October 2009 - February 2010)

description: Short-term observations of hourly bottom temperatures on the continental slope off Natal Bight, along the east coast of South Africa at location Dbn03 (October 2009 - February 2010)
description: Between 2009 and 2013, multiple short-term mooring deployments were conducted to determine the oceanographic characteristics and variability along the KwaZulu-Natal (KZN) Bight, along the east coast of South Africa. One mooring (Sez01) was deployed off Sezela, about 79km south of Durban, at a depth of 30m, between June 2009 and July 2010. Three moorings (Dbn01, Dbn02, and Dbn03) were deployed off Durban at depths of 50m, 420m, and 570m, respectively, between January 2009 and September 2010, and two moorings (RiB01 and RiB02) were deployed off Richards Bay at depths of 30m and 580m, respectively, between February 2009 and September 2010. These moorings measured currents, as well as sub-surface and bottom temperatures across the continental shelf and along the continental slope of the KZN Bight. Here we present processed hourly bottom temperatures (561.88m) from an Acoustic Doppler Current Profiler (ADCP) at location Dbn03 (29.99°S; 31.49°E) on the continental slope off Durban, between October 2009 - February 2010.
description: A bottom-mounted, upward-looking, 75kHz RD Instruments Acoustic Doppler Current Profiler (ADCP) was configured with a bin size of 16m and a blanking distance of 5m, and deployed at location Dbn03 (29.99°S; 31.49°E), on the continental slope of Durban. The instrument measured hourly bottom temperatures (561.88m) between 01 October 2009 and 28 February 2010.
DOI: 10.15468/dl.am3ygd
title: Occurrence Download

description: A dataset containing 2833 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Electrona carlsbergi (Tåning, 1932)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2833 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003857-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/z9p6-d448
title: "Dataset new"

description: "dfdf"
DOI: 10.25574/29791
title: Chandra X-ray Observatory ObsId 29791

description: Chandra target of opportunity observation of an X-ray transient identified in Swift/XRT observations
DOI: 10.15468/dl.h7n8ge
title: Occurrence Download

description: A dataset containing 1373331 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Loxia curvirostra Linnaeus, 1758"
 ]
}

 The dataset includes 1373331 records from 1110 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011816-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3yhseb
title: Occurrence Download

description: A dataset containing 174 species occurrences available in GBIF matching the query:
{
 "and" : [
 "License is one of (CC0 1.0, CC-BY 4.0)",
 "Month is July",
 "TaxonKey is Lycaena hippothoe (Linnaeus, 1761)",
 "Year 2024-2025"
 ]
}

 The dataset includes 174 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009442-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15470411
title: Turkish maqam music symbolic data (SymbTr v3.0)

description: SymbTr Turkish Makam Music Symbolic Data Collection, v. 3.0

SymbTr is a collection machine readable symbolic scores aimed at performing computational studies of Turkish Makam music. SymbTr is currently the biggest machine readable collection of Turkish makam music. The latest version of the SymbTr collection consists of 3000 pieces from 164 makams, 135 usuls, 61 forms, 622 composer/lyricist about 1.200.000 musical notes and 145 hours nominal playback time.

The scores are selected from reliable sources that consists of musical pieces from Turkish art and folk music. Special care has been taken to select works covering a broad historical time span among the ones which are still performed in the contemporary practice.

SymbTr-scores are provided in text, MusicXML, PDF, MIDI and mu2 formats. MusicXML is a standard open format for exchanging digital sheet music, which can be read by popular music notation software such as MuseScore and Sibelius. mu2 is a format, which can be read by Mus2, the microtonal notation software.

Please cite the following publication if you use the data collection in your work:

M. Kemal Karaosmanoğlu. A Turkish makam music symbolic database for music information retrieval: SymbTr. In Proceedings of 13th International Society for Music Information Retrieval Conference (ISMIR), pages 223–228, 2012.
DOI: 10.5281/zenodo.15470412
title: Turkish maqam music symbolic data (SymbTr v3.0)

description: SymbTr Turkish Makam Music Symbolic Data Collection, v. 3.0

SymbTr is a collection machine readable symbolic scores aimed at performing computational studies of Turkish Makam music. SymbTr is currently the biggest machine readable collection of Turkish makam music. The latest version of the SymbTr collection consists of 3000 pieces from 164 makams, 135 usuls, 61 forms, 622 composer/lyricist about 1.200.000 musical notes and 145 hours nominal playback time.

The scores are selected from reliable sources that consists of musical pieces from Turkish art and folk music. Special care has been taken to select works covering a broad historical time span among the ones which are still performed in the contemporary practice.

SymbTr-scores are provided in text, MusicXML, PDF, MIDI and mu2 formats. MusicXML is a standard open format for exchanging digital sheet music, which can be read by popular music notation software such as MuseScore and Sibelius. mu2 is a format, which can be read by Mus2, the microtonal notation software.

Please cite the following publication if you use the data collection in your work:

M. Kemal Karaosmanoğlu. A Turkish makam music symbolic database for music information retrieval: SymbTr. In Proceedings of 13th International Society for Music Information Retrieval Conference (ISMIR), pages 223–228, 2012.
DOI: 10.15468/dl.w89ynj
title: Occurrence Download

description: A dataset containing 1380 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Juglans mandshurica Maxim."
 ]
}

 The dataset includes 1380 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006607-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xefx6t
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Rupicapra pyrenaica Bonaparte, 1845)",
 "Country is one of (Anguilla, Antigua and Barbuda, Argentina, Aruba, Bahamas, Barbados, Belize, Bolivia (Plurinational State of), Bonaire, Sint Eustatius and Saba, Bouvet Island, Brazil, Cayman Islands, Chile, Colombia, Costa Rica, Cuba, Curaçao, Dominica, Dominican Republic, Ecuador, El Salvador, Falkland Islands (Malvinas), French Guiana, Grenada, Guadeloupe, Guatemala, Guyana, Haiti, Honduras, Jamaica, Martinique, Mexico, Montserrat, Nicaragua, Panama, Paraguay, Peru, Puerto Rico, Saint Barthélemy, Saint Kitts and Nevis, Saint Lucia, Saint Martin (French part), Saint Vincent and the Grenadines, Sint Maarten (Dutch part), South Georgia and the South Sandwich Islands, Suriname, Trinidad and Tobago, Turks and Caicos Islands, Uruguay, Venezuela (Bolivarian Republic of), Virgin Islands (British), Virgin Islands (U.S.))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015614-250525065834625/datasets/export for details.
DOI: 10.15468/dl.z5f3f8
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Rupicapra pyrenaica Bonaparte, 1845)",
 "Country is one of (Afghanistan, Armenia, Azerbaijan, Bahrain, Bangladesh, Bhutan, Brunei Darussalam, Cambodia, China, Cyprus, Georgia, Hong Kong, India, Indonesia, Iran (Islamic Republic of), Iraq, Israel, Japan, Jordan, Kazakhstan, Korea (Democratic People’s Republic of), Korea, Republic of, Kuwait, Kyrgyzstan, Lao People’s Democratic Republic, Lebanon, Macao, Malaysia, Maldives, Mongolia, Myanmar, Nepal, Oman, Pakistan, Palestine, State of, Philippines, Qatar, Saudi Arabia, Singapore, Sri Lanka, Syrian Arab Republic, Tajikistan, Thailand, Timor-Leste, Türkiye, Turkmenistan, United Arab Emirates, Uzbekistan, Viet Nam, Yemen)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015613-250525065834625/datasets/export for details.
DOI: 10.15468/dl.p7x9hs
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Rupicapra pyrenaica Bonaparte, 1845)",
 "Country is one of (Bermuda, Canada, Greenland, Saint Pierre and Miquelon, United States of America)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015612-250525065834625/datasets/export for details.
DOI: 10.25378/janelia.13114343.v1
title: Isotropic 3D electron microscopy reference data of wild-type, THP-1 macrophage (jrc_macrophage-2)

description: Understanding cellular architecture is essential for understanding biology. Electron microscopy (EM) uniquely visualizes cellular structure with nanometer resolution. However, traditional methods, such as thin-section EM or EM tomography, have limitations inasmuch as they only visualize a single slice or a relatively small volume of the cell, respectively. Here, we overcome these limitations by long-term imaging whole cells and tissues via the enhanced Focus Ion Beam Scanning Electron Microscopy (FIB-SEM) platform in high resolution mode with month-long acquisition duration. We use this approach to generate reference 3D image data sets at 4-nm isotropic voxels. Together with subsequent segmentation, we hope to create a reference library to explore comprehensive quantification of whole cells and all their constituents, thus addressing questions related to cell identities, cell morphologies, cell-cell interactions, as well as intracellular organelle organization and structure.<br>Sample: Wild-type THP-1 macrophageProtocol: High pressure freezing, freeze-substitution resin embedding with 2% OsO4 0.1% UA 3% H2O in acetone; resin embedding in Eponate 12.Contributions: Sample provided by Huxley K. Hoffman and Schuyler B. van Engelenburg (U. Denver), prepared for imaging by Gleb Shtengel (HHMI/Janelia), with imaging and post-processing by C. Shan Xu (HHMI/Janelia).Dataset ID: jrc_macrophage-1Final voxel size (nm): 4.0 x 4.0 x 3.36 (X, Y, Z)Dimensions (µm): 40 x 8 x 37 (X, Y, Z)Acquisition date: 2018-11-11Dataset URL: https://data.janelia.org/PzMhfVisualization Website: https://openorganelle.janelia.org/datasets/jrc_macrophage-2<br>Publication: “Isotropic 3D electron microscopy reference library of whole cells and tissues” by C. Shan Xu, et al. (in preparation)<br>
DOI: 10.15468/dl.jt29st
title: Occurrence Download

description: A dataset containing 52 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Germany",
 "GadmGid is DEU.3_1",
 "OccurrenceStatus is Present",
 "TaxonKey is Cladonia fimbriata (L.) Fr."
 ]
}

 The dataset includes 52 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012970-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m92fpk
title: Occurrence Download

description: A dataset containing 18926677 species occurrences available in GBIF matching the query:
{
 "and" : [
 "License is one of (CC-BY 4.0, CC0 1.0)",
 "OccurrenceStatus is Present",
 "PublishingOrg is 28eb1a3f-1c15-4a95-931a-4af90ecb574d"
 ]
}

 The dataset includes 18926677 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001033-250424135625364/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.znxgy4
title: Occurrence Download

description: A dataset containing 23164 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "License is one of (CC0 1.0, CC-BY 4.0, CC-BY-NC 4.0)",
 "TaxonKey is Moraceae"
 ]
}

 The dataset includes 23164 records from 193 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003144-251120083545085/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/13823799
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.m9ssua
title: Occurrence Download

description: A dataset containing 1919 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Arbutus arizonica"
 ]
}

 The dataset includes 1919 records from 71 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003148-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17677812
title: X(Tweeter)

description: This dataset is a collection of social media posts, primarily from Twitter/X, spanning from 2017 to 2025. Each row represents a single post enriched with metadata and engagement metrics. The core fields include unique identifiers (id_str, conversation_id_str, user_id_str), timestamps (created_at), and the full text of the post (full_text). Additional columns capture user interactions such as likes (favorite_count), retweets, replies, and quotes, offering insight into engagement patterns. Media presence is indicated through image_url, while tweet_url provides direct access to the original post. Language information (lang) shows that most posts are in English, and thematic classification is provided by the category column, which groups content into areas like AI Technology, Education, Finance, Health, and Entertainment. Although some fields such as location and in_reply_to_screen_name are largely empty, the dataset remains rich for analysis of trends, sentiment, and user behavior over time. Its structure makes it suitable for natural language processing, social network analysis, and predictive modeling of engagement.
DOI: 10.5281/zenodo.17677813
title: X(Tweeter)

description: This dataset is a collection of social media posts, primarily from Twitter/X, spanning from 2017 to 2025. Each row represents a single post enriched with metadata and engagement metrics. The core fields include unique identifiers (id_str, conversation_id_str, user_id_str), timestamps (created_at), and the full text of the post (full_text). Additional columns capture user interactions such as likes (favorite_count), retweets, replies, and quotes, offering insight into engagement patterns. Media presence is indicated through image_url, while tweet_url provides direct access to the original post. Language information (lang) shows that most posts are in English, and thematic classification is provided by the category column, which groups content into areas like AI Technology, Education, Finance, Health, and Entertainment. Although some fields such as location and in_reply_to_screen_name are largely empty, the dataset remains rich for analysis of trends, sentiment, and user behavior over time. Its structure makes it suitable for natural language processing, social network analysis, and predictive modeling of engagement.
DOI: 10.15468/dl.uuc6sv
title: Occurrence Download

description: A dataset containing 1644854 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "Country is Mexico",
 "HasCoordinate is false",
 "OccurrenceStatus is Present",
 "Year 1965-2025"
 ]
}

 The dataset includes 1644854 records from 2094 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003132-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e231495
title: Replication data for: Does Household Electrification Supercharge Economic Development?

description: In recent years, electrification has reemerged as a key priority in low-income countries, with a particular focus on electrifying households. Yet the microeconomic 
literature examining the impacts of electrifying households on economic development has produced a set of conflicting results. Does household electrification lead to 
measurable gains in living standards or not? Focusing on grid electrification, we discuss how the divergent conclusions across the literature can be explained by 
differences in methods, interventions, potential for spillovers, and populations. We then use experimental data from Lee, Miguel, and Wolfram (2019)—a field experiment 
that connected randomly selected households to the grid in rural Kenya—to show that impacts can vary even across individuals in neighboring villages. Specifically, we 
show that households that were willing to pay more for a grid electrification may gain more from electrification compared to households that would only connect for 
free. We conclude that access to household electrification alone is not enough to drive meaningful gains in development outcomes. Instead, future initiatives may work better if paired with complementary inputs that allow people to do more with power.
DOI: 10.3886/e231495v1
title: Replication data for: Does Household Electrification Supercharge Economic Development?

description: In recent years, electrification has reemerged as a key priority in low-income countries, with a particular focus on electrifying households. Yet the microeconomic 
literature examining the impacts of electrifying households on economic development has produced a set of conflicting results. Does household electrification lead to 
measurable gains in living standards or not? Focusing on grid electrification, we discuss how the divergent conclusions across the literature can be explained by 
differences in methods, interventions, potential for spillovers, and populations. We then use experimental data from Lee, Miguel, and Wolfram (2019)—a field experiment 
that connected randomly selected households to the grid in rural Kenya—to show that impacts can vary even across individuals in neighboring villages. Specifically, we 
show that households that were willing to pay more for a grid electrification may gain more from electrification compared to households that would only connect for 
free. We conclude that access to household electrification alone is not enough to drive meaningful gains in development outcomes. Instead, future initiatives may work better if paired with complementary inputs that allow people to do more with power.
DOI: 10.15468/dl.vf4dqj
title: Occurrence Download

description: A dataset containing 25 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Deraeocoris knightonius Razafimahatratra & Lattin, 1983"
 ]
}

 The dataset includes 25 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009733-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57830/2314545
title: Field data for the Vegetation Mapping Inventory Project of Fort Pulaski National Monument - Open Format Data Package

description: These data were converted from the originally delivered Microsoft Access PLOTs database from the Vegetation Mapping Inventory Project of Fort Pulaski National Monument.  These comma-delimited data tables contain(s) vegetation mapping plot classification and accuracy assessment data, as well as summary information about the data itself. If a table is empty, then it was empty in the original database.
DOI: 10.57830/2314546
title: Field data for the Vegetation Mapping Inventory Project of Fort Sumter National Historical Park - Open Format Data Package

description: These data were converted from the originally delivered Microsoft Access PLOTs database from the Vegetation Mapping Inventory Project of Fort Sumter National Historical Park.  These comma-delimited data tables contain(s) vegetation mapping plot classification and accuracy assessment data, as well as summary information about the data itself. If a table is empty, then it was empty in the original database.
DOI: 10.57830/2314547
title: Field data for the Vegetation Mapping Inventory Project of Fort Union National Monument - Open Format Data Package

description: These data were converted from the originally delivered Microsoft Access PLOTs database from the Vegetation Mapping Inventory Project of Fort Union National Monument.  These comma-delimited data tables contain(s) vegetation mapping plot classification and accuracy assessment data, as well as summary information about the data itself. If a table is empty, then it was empty in the original database.
DOI: 10.57830/2314548
title: Field data for the Vegetation Mapping Inventory Project of Fort Vancouver National Historic Site - Open Format Data Package

description: These data were converted from the originally delivered Microsoft Access PLOTs database from the Vegetation Mapping Inventory Project of Fort Vancouver National Historic Site.  These comma-delimited data tables contain(s) vegetation mapping plot classification and accuracy assessment data, as well as summary information about the data itself. If a table is empty, then it was empty in the original database.
DOI: 10.57830/2314549
title: Field data for the Vegetation Mapping Inventory Project of Friendship Hill National Historic Site - Open Format Data Package

description: These data were converted from the originally delivered Microsoft Access PLOTs database from the Vegetation Mapping Inventory Project of Friendship Hill National Historic Site.  These comma-delimited data tables contain(s) vegetation mapping plot classification and accuracy assessment data, as well as summary information about the data itself. If a table is empty, then it was empty in the original database.