cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7910/dvn/aohe55
title: A new auroral phenomenon: The anti-black aurora

description: Abstract
Black auroras are small-scale features embedded in the diffuse background aurora that
show a significant reduction in optical brightness compared to the surrounding diffuse aurora.
We report, for the first time, an even more elusive small-scale optical structure has been
observed occurring paired with ~10% of black aurora patches. A patch or arc segment of
enhanced luminosity, distinctly brighter than the diffuse background, which we name the anti-
black aurora, may appear adjacent to the black aurora. The anti-black aurora always moves in
parallel to the black aurora, although it may suddenly switch sides for no apparent reason. The
paired phenomenon always drifts with the same average speed in an easterly direction. From the
first dual-wavelength observations of anti-black and black aurora pairs, we show that the anti-
black and black auroras have a higher and lower mean energy, respectively, of the precipitating
electrons compared to the diffuse background.

Methods
Optical data

For the 2016 campaign a iXon-888 EMCCD’s and an ALTA-U47 back-illuminated full frame megapixel CCD (DASI) was mounted next to each other. The EMCCD was attached with an Andover 430HC10 filter and the DASI with an Andover 844.6 nm filter with an 85% transmission and 10 nm FWHM, which were available for this campaign. Images produced by the EMCCD had 256 × 256 pixel resolution in a 30 ◦ FOV. The DASI produced the same resolution images in a FOV of 50 ◦ , with a maximum temporal resolution of 1 Hz. This is raw data recorded during the campaing, before the calibration steps were applied for this project (i.e., Dark subtraction, flat fielding, background subtraction, median filtering)

Radar data

Recorded using the monostatic UHF radar at Ramfjordmoen. The UHF radar has an 32 m antenna that is a mechanically fully steerable parabolic
dish used for transmission and reception. It has a transmitter peak power of 2.0 MW and operates in the 930 MHz band (radio spectrum). The beam itself has a full opening of 0.6 ◦ .
DOI: 10.7910/dvn/ubjiaf
title: hou02665c00938

description: Letter, [signature illegible] of the Junta Provincial de Patronato de Matanzas, to the Junta Local de Patronato de Guanajayabo, Matanzas
description: URN-3:FHCL.HOUGH:100774190
DOI: 10.18712/nsd-nsd3259-v1
title: Frende/Yougov Dataset 2020

description: The dataset was collected as part of a master's project at the Norwegian School of Economics (NHH) in 2020.

The survey explores Norwegians' attitudes toward risk evaluation and risk willingness, as well as their insurance preferences.
DOI: 10.7910/dvn/ar0dka
title: Bad Grapefruit: An open image dataset of bad Grapefruits for machine vision enabled automated grading of produce based on visual characteristics.

description: Open Image Data Set of Bad Grapefruits
DOI: 10.7910/dvn/ad8ckp
title: Replication Data for: Political Side-taking by Outside Powers and Mass Attitudes Towards International Economic Engagement

description: What explains variation in individual preferences for foreign economic engagement? Although a large and growing literature addresses that question, little research examines how partner countries affect public opinion on policies such as trade, foreign aid, and investment. We construct a new theory arguing that political side-taking by outside powers shapes individuals' support for engaging economically with those countries. We test the theory using original surveys in the United States and Tunisia. In both cases, the potential partner country's side-taking in the partisan politics of the respondents' country dramatically shapes support for foreign economic relations. As the rise of new aid donors, investors, and trade partners creates new choices in economic partners, the theory and findings contained in this article are critical to understanding mass preferences about open economic engagement.
DOI: 10.5281/zenodo.15484428
title: Numerical Signature Dataset of Thoracic and Elytral Fragments from Curculionidae and Tenebrionidae Beetles for AI-Based Species Identification

description: This dataset presents curated and annotated 256×256 pixel image fragments of thoracic and elytral regions from six economically significant species within the beetle families Curculionidae and Tenebrionidae. These anatomical fragments were extracted from high-resolution trap images to support numerical signature generation for species-level classification. The dataset enables researchers to develop and validate image-based machine learning pipelines for pest identification in stored product environments. All samples are standardized and include metadata indicating species, anatomical region, and imaging parameters. This work contributes to advancing computational entomology, post-harvest pest management, and real-time automated monitoring systems.
description: This dataset introduces a fragment-based classification framework using annotated thoracic and elytral sections of stored-product beetles. Species included are:



Sitophilus zeamais

Sitophilus oryzae

Sitophilus granarius

Tribolium castaneum

Latheticus oryzae

Tribolium confusum
DOI: 10.5281/zenodo.15484429
title: Numerical Signature Dataset of Thoracic and Elytral Fragments from Curculionidae and Tenebrionidae Beetles for AI-Based Species Identification

description: This dataset presents curated and annotated 256×256 pixel image fragments of thoracic and elytral regions from six economically significant species within the beetle families Curculionidae and Tenebrionidae. These anatomical fragments were extracted from high-resolution trap images to support numerical signature generation for species-level classification. The dataset enables researchers to develop and validate image-based machine learning pipelines for pest identification in stored product environments. All samples are standardized and include metadata indicating species, anatomical region, and imaging parameters. This work contributes to advancing computational entomology, post-harvest pest management, and real-time automated monitoring systems.
description: This dataset introduces a fragment-based classification framework using annotated thoracic and elytral sections of stored-product beetles. Species included are:



Sitophilus zeamais

Sitophilus oryzae

Sitophilus granarius

Tribolium castaneum

Latheticus oryzae

Tribolium confusum
DOI: 10.7910/dvn/atfl9a
title: Ashoka raw data

description: This is the raw textual data of ashoka profiles. Please cite it as:

Chandra Y, Jiang LC, Wang C-J (2016) Mining Social Entrepreneurship Strategies Using Topic Modeling. PLoS ONE 11(3): e0151342. doi:10.1371/journal.pone.0151342
DOI: 10.7910/dvn/rw2sxx
title: Self-compassion and subjective well-being mediators

description: Contains data on self-compassion, subjective well-being and their proposed mediators, self-acceptance and meaning in life
DOI: 10.7910/dvn/8h0ruh
title: Jornal dos Sports 711

description: Newspaper
DOI: 10.7910/dvn/asf8ky
title: Information, Candidate Selection, and the Quality of Representation: Evidence from Nepal

description: Replication data
DOI: 10.5281/zenodo.15585704
title: Open Data_Consumer Perception of Smart Home Technologies
DOI: 10.5281/zenodo.15585705
title: Open Data_Consumer Perception of Smart Home Technologies
DOI: 10.7910/dvn/8hbvfz
title: Benin: Small Farmer Survey, 1998

description: This survey includes data from the Enquête des Petits Producteurs (Small Farmer Survey) carried out by IFPRI and LARES (Laboratoire d'Analyse Regionale et d'Expertise Sociale, Cotonou, Republic of Benin). The objectives were to describe rural livelihoods, examine how conditions for farmers have changed over time, and assess the impact of agricultural reforms on rural households. The training of enumerators, field testing of the survey and final revision of the questionnaire took place in June-July 1998. The survey itself was carried out over the period August to November 1998. The households were selected using a two-stage stratified random sample procedure based on the 1997 pre-census of Agriculture. In each of the six departments, villages randomly selected, with the number of villages proportional to the volume of agricultural production, subject to a minimum of 10 villages per department. In total, 100 villages were selected. In each village, nine households were randomly selected using listed prepared for the pre-census. Three alternative households were selected for each village in case one or more of the nine were unavailable. In a few villages, the number of interviewed households was eight or ten, resulting in a final sample size of 899 farm households.
&lt;br /&gt;&lt;br /&gt; Topics addressed in the survey include household and land characteristics, crop production, main agricultural activities, use of fertilizers and other inputs, source of credit, sale and use of crops, storage, consumption, time allocation, and sources of income as well as community level data on transport structure, marketing of agricultural products, village groups, agricultural production, extension services, and formal/informal credit. &lt;br /&gt;&lt;br /&gt; The survey was conducted in collaboration with Laboratoire d'Analyse Régionale et d'Expertise Sociale, Cotonou, Republic of Benin (LARES). Funding for the survey was provided by Bundesministerium für Wirtschaflitche Zusammenarbeit und Entwicklung (BMZ).
description: Household- and Community-level Surveys
DOI: 10.15468/dl.3ygc9p
title: Occurrence Download

description: A dataset containing 420 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Madagascar",
 "TaxonKey is Dalbergia louvelii R.Vig."
 ]
}

 The dataset includes 420 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014670-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15597453
title: THE PRIORITY OF USING DIGITAL MARKETING STRATEGIES IN IMPROVING THE HIGHER EDUCATION SYSTEM
DOI: 10.5281/zenodo.15597454
title: THE PRIORITY OF USING DIGITAL MARKETING STRATEGIES IN IMPROVING THE HIGHER EDUCATION SYSTEM
DOI: 10.17611/dp/21276176
title: Global ShakeMovie synthetic for June 23, 2023 MW 5.6 NORTHERN MID-ATLANTIC RIDGE
DOI: 10.17611/dp/21276180
title: Global ShakeMovie synthetic for June 23, 2023 MW 5.5 FIJI ISLANDS REGION
DOI: 10.17611/dp/21278636
title: Global ShakeMovie synthetic for June 17, 2023 MW 6.1 TONGA ISLANDS REGION
DOI: 10.17611/dp/21278640
title: Global ShakeMovie synthetic for June 25, 2023 MW 6.2 SOUTH OF TONGA ISLANDS
DOI: 10.17611/dp/21278644
title: Global ShakeMovie synthetic for June 25, 2023 MW 5.5 SOUTH OF TONGA ISLANDS
DOI: 10.17611/dp/21284958
title: Global ShakeMovie synthetic for June 27, 2023 MW 5.9 PRIMOR'YE, RUSSIA
DOI: 10.17611/dp/21284962
title: Global ShakeMovie synthetic for June 28, 2023 MW 5.6 FIJI ISLANDS
DOI: 10.17611/dp/21287639
title: Global ShakeMovie synthetic for June 30, 2023 MW 5.9 JAVA, INDONESIA
DOI: 10.17611/dp/21287643
title: Global ShakeMovie synthetic for July 01, 2023 MW 6.1 SOUTH INDIAN OCEAN
DOI: 10.17611/dp/21289195
title: Global ShakeMovie synthetic for July 02, 2023 MW 5.7 TONGA ISLANDS REGION
DOI: 10.17611/dp/21289199
title: Global ShakeMovie synthetic for July 02, 2023 MW 6.9 TONGA ISLANDS
DOI: 10.17611/dp/21289203
title: Global ShakeMovie synthetic for July 03, 2023 MW 5.5 IRIAN JAYA, INDONESIA
DOI: 10.17611/dp/21289207
title: Global ShakeMovie synthetic for July 03, 2023 MW 5.7 VANUATU ISLANDS
DOI: 10.17611/dp/21290717
title: Global ShakeMovie synthetic for July 04, 2023 MW 5.9 EAST OF SOUTH SANDWICH ISLANDS
DOI: 10.5281/zenodo.16915690
title: Measurement dataset, Matlab codes, and simulation data generated with Wireless InSite for Theoretical and Experimental Study of Indoor Propagation in the FR3 Band for LoS and NLoS Scenarios
title: Data_LoS_NLoS_codes

description: From file P1_medidas6_6_10_8192_2018-03-09-211625.mat to P14_medidas6_6_10_8192_2018-03-31-032835.mat lies the measurement set for the LoS case, consisting of the frequency response H(:,:,:,:,p) obtained with the vector network analyzer for each of the 14 transmitter positions. The first and second dimensions of H correspond to the receiver URA, the third to the transmitter ULA, the fourth to frequency, and the fifth to the positions at which the transmitter ULA was varied.

The file LoS.m contains the Matlab code for the analysis of LoS measurements, including the plotting of path loss and RMS delay spread across the entire FR3 bandwidth, as well as the convergence analysis between measurements and simulations. The associated files, from VERSION1.cir_LoS.t001_1.r005 to VERSION1.cir_LoS.t001_15.r005, include the complex impulse response (CIR) obtained from the simulations. Additionally, the file LoS.subbands contains the Matlab code for the analysis of FR3 subbands under LoS conditions.

From file medidas2018-11-28-112347.mat to file medidas2018-11-28-133253.mat lies the measurement set for the NLoS case, consisting of the frequency response H(:,:,:,:,p) obtained with the vector network analyzer for each of the 15 transmitter positions. The first dimension of H corresponds to the receiver ULA, the second to frequency, and the third to the positions at which the transmitter was varied.

The file NLoS_euclidean_dist.m contains the Matlab code for analyzing NLoS measurements and simulations, including the plotting of path loss and RMS delay spread over the entire FR3 bandwidth. The associated files, from VERSION1.cir.t001_1.r005 to VERSION1.cir.t001_15.r005, contain the complex impulse response (CIR) obtained from the simulations. Furthermore, the file NLoS.subbands.m provides the Matlab code for the analysis of FR3 subbands under NLoS conditions.
DOI: 10.5281/zenodo.16915691
title: Measurement dataset, Matlab codes, and simulation data generated with Wireless InSite for Theoretical and Experimental Study of Indoor Propagation in the FR3 Band for LoS and NLoS Scenarios
title: Data_LoS_NLoS_codes

description: From file P1_medidas6_6_10_8192_2018-03-09-211625.mat to P14_medidas6_6_10_8192_2018-03-31-032835.mat lies the measurement set for the LoS case, consisting of the frequency response H(:,:,:,:,p) obtained with the vector network analyzer for each of the 14 transmitter positions. The first and second dimensions of H correspond to the receiver URA, the third to the transmitter ULA, the fourth to frequency, and the fifth to the positions at which the transmitter ULA was varied.

The file LoS.m contains the Matlab code for the analysis of LoS measurements, including the plotting of path loss and RMS delay spread across the entire FR3 bandwidth, as well as the convergence analysis between measurements and simulations. The associated files, from VERSION1.cir_LoS.t001_1.r005 to VERSION1.cir_LoS.t001_15.r005, include the complex impulse response (CIR) obtained from the simulations. Additionally, the file LoS.subbands contains the Matlab code for the analysis of FR3 subbands under LoS conditions.

From file medidas2018-11-28-112347.mat to file medidas2018-11-28-133253.mat lies the measurement set for the NLoS case, consisting of the frequency response H(:,:,:,:,p) obtained with the vector network analyzer for each of the 15 transmitter positions. The first dimension of H corresponds to the receiver ULA, the second to frequency, and the third to the positions at which the transmitter was varied.

The file NLoS_euclidean_dist.m contains the Matlab code for analyzing NLoS measurements and simulations, including the plotting of path loss and RMS delay spread over the entire FR3 bandwidth. The associated files, from VERSION1.cir.t001_1.r005 to VERSION1.cir.t001_15.r005, contain the complex impulse response (CIR) obtained from the simulations. Furthermore, the file NLoS.subbands.m provides the Matlab code for the analysis of FR3 subbands under NLoS conditions.
DOI: 10.17611/dp/21291465
title: Global ShakeMovie synthetic for July 06, 2023 MW 5.8 CHILE-ARGENTINA BORDER REGION
DOI: 10.17611/dp/21291469
title: Global ShakeMovie synthetic for July 06, 2023 MW 5.8 BALLENY ISLANDS REGION
DOI: 10.17611/dp/21291473
title: Global ShakeMovie synthetic for July 06, 2023 MW 5.2 EASTERN NEW GUINEA REG., P.N.G.
DOI: 10.17611/dp/21294943
title: Global ShakeMovie synthetic for July 08, 2023 MW 5.6 TAIWAN REGION
DOI: 10.17611/dp/21294947
title: Global ShakeMovie synthetic for July 09, 2023 MW 5.5 SOLOMON ISLANDS
DOI: 10.17611/dp/21294951
title: Global ShakeMovie synthetic for July 09, 2023 MW 5.6 CHILE-ARGENTINA BORDER REGION
DOI: 10.17611/dp/21296883
title: Global ShakeMovie synthetic for July 10, 2023 MW 6.6 NORTH ATLANTIC OCEAN
DOI: 10.17611/dp/21296887
title: Global ShakeMovie synthetic for July 10, 2023 MW 5.8 SOUTHERN EAST PACIFIC RISE
DOI: 10.17611/dp/21301041
title: Global ShakeMovie synthetic for July 14, 2023 MW 6.3 OFF COAST OF CHIAPAS, MEXICO
DOI: 10.17611/dp/21307592
title: Global ShakeMovie synthetic for July 16, 2023 MW 7.2 ALASKA PENINSULA
DOI: 10.17611/dp/21310245
title: Global ShakeMovie synthetic for July 17, 2023 MW 6.7 SOUTHERN ARGENTINA
DOI: 10.17611/dp/21310249
title: Global ShakeMovie synthetic for July 17, 2023 MW 5.8 SOUTHERN MOLUCCA SEA
DOI: 10.17611/dp/21315101
title: Global ShakeMovie synthetic for July 18, 2023 MW 5.6 OFF COAST OF JALISCO, MEXICO
DOI: 10.17611/dp/21322484
title: Global ShakeMovie synthetic for July 21, 2023 MW 5.7 TONGA ISLANDS REGION
DOI: 10.17611/dp/21345015
title: Global ShakeMovie synthetic for August 04, 2023 MW 5.6 JAVA, INDONESIA
DOI: 10.17611/dp/21345019
title: Global ShakeMovie synthetic for July 25, 2023 MW 5.6 TIMOR REGION
DOI: 10.17611/dp/21345023
title: Global ShakeMovie synthetic for July 25, 2023 MW 5.5 TURKEY
DOI: 10.17611/dp/21345027
title: Global ShakeMovie synthetic for July 25, 2023 MW 5.6 MARIANA ISLANDS
DOI: 10.17611/dp/21345031
title: Global ShakeMovie synthetic for July 26, 2023 MW 6.4 VANUATU ISLANDS
DOI: 10.17611/dp/21345035
title: Global ShakeMovie synthetic for July 27, 2023 MW 5.5 SAMOA ISLANDS REGION
DOI: 10.17611/dp/21345039
title: Global ShakeMovie synthetic for July 27, 2023 MW 5.4 VANUATU ISLANDS
DOI: 10.17611/dp/21345043
title: Global ShakeMovie synthetic for July 28, 2023 MW 5.5 SOUTHWEST INDIAN RIDGE
DOI: 10.17611/dp/21345047
title: Global ShakeMovie synthetic for July 28, 2023 MW 5.9 SOUTHWEST INDIAN RIDGE
DOI: 10.17611/dp/21345051
title: Global ShakeMovie synthetic for July 28, 2023 MW 6.0 ANDAMAN ISLANDS, INDIA REGION
DOI: 10.17611/dp/21345055
title: Global ShakeMovie synthetic for July 30, 2023 MW 5.6 OFF COAST OF CENTRAL AMERICA
DOI: 10.17611/dp/21345059
title: Global ShakeMovie synthetic for August 01, 2023 MW 5.7 KOMANDORSKIYE OSTROVA REGION
DOI: 10.5517/ccdc.csd.cc25zb1k
title: CCDC 2025138: Experimental Crystal Structure Determination

description: Related Article: Lu Ren, Zhaohong Lu, Dimin Wu, Mingchen Ma, Ang Li|2025|J.Am.Chem.Soc.|147|27137|doi:10.1021/jacs.4c04779
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc25zb4n
title: CCDC 2025141: Experimental Crystal Structure Determination

description: Related Article: Lu Ren, Zhaohong Lu, Dimin Wu, Mingchen Ma, Ang Li|2025|J.Am.Chem.Soc.|147|27137|doi:10.1021/jacs.4c04779
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc25zb5p
title: CCDC 2025142: Experimental Crystal Structure Determination

description: Related Article: Lu Ren, Zhaohong Lu, Dimin Wu, Mingchen Ma, Ang Li|2025|J.Am.Chem.Soc.|147|27137|doi:10.1021/jacs.4c04779
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc25zb6q
title: CCDC 2025143: Experimental Crystal Structure Determination

description: Related Article: Lu Ren, Zhaohong Lu, Dimin Wu, Mingchen Ma, Ang Li|2025|J.Am.Chem.Soc.|147|27137|doi:10.1021/jacs.4c04779
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5281/zenodo.16963428
title: A Macroeconomic Analysis of Factors Influencing the Performance of Mutual Funds in Morocco

description: The excel includes panel data analysis to explore these relationships over the period from 2010 to 2023, using annual data, resulting in a total of 3,052 observations. To provide a comprehensive analysis, the study categorizes mutual funds into four types: long-term bonds (1,358 observations), equity funds (868 observations), money market funds (462 observations), and short-term bonds (364 observations) collectively representing the mutual fund sector in Morocco. This categorization enables a detailed assessment of how macroeconomic factors influence each type of mutual fund differently.

Data for mutual fund performance is sourced from DataStream. The performance measures, including the Sharpe Ratio, Treynor Ratio, and Jensen’s Alpha, are calculated based on extracted Net Asset Values (NAV), weekly returns, market benchmarks, and computed beta values. The macroeconomic variables such as inflation, exchange rate, GDP growth, money supply, imports, foreign direct investment (FDI), and political stability are obtained from the International Monetary Fund (IMF) and the World Bank’s World Development Indicators (WDI) database.

·       The Sharpe Ratio quantifies excess return per unit of total risk calculated as    where 𝑅𝑝 is the portfolio return, 𝑅𝑓 is the risk-free rate, and 𝜎𝑝 is the standard deviation of portfolio returns.

·       The Treynor Ratio measures excess return per unit of systematic risk, given by   with 𝛽𝑝 representing the portfolio’s beta relative to the market.

·       Jensen’s Alpha captures excess return over the expected return under the Capital Asset Pricing Model (CAPM), computed as   where 𝑅𝑚 is the market return.
DOI: 10.5517/ccdc.csd.cc2751j0
title: CCDC 2060431: Experimental Crystal Structure Determination

description: Related Article: Álvaro Martínez-Camarena, Marian Merino, Ana Virginia Sánchez-Sánchez, Salvador Blasco, José M. Llinares, José L. Mullor, Enrique García-España|2022|Chem.Commun.|58|5021|doi:10.1039/D2CC01257J
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.