cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/ywfx54ktvn.1
title: BengalDeltaFish: A Local Dataset for Fish Detection in Bangladeshi Markets

description: "BengalDeltaFish" dataset contains 5086 annotated images of different fish species The images were captured using the main cameras of three different smartphone devices.

Data Source Location:
Natun Bazar Kacha Bazar, Dhaka (coordinates: 23.798456569425063, 90.42559839707305)
Fashertek Hazi Market, Dhaka (coordinates: 23.800797942244163, 90.43089556976807)
Kawran Bazar, Dhaka (coordinates: 23.752118151441238, 90.39410478440936)
Tongi Wholesale Fish Market, Abdullapur (coordinates: 23.88111410293438, 90.3996331962504)
Fateh Ali Bazaar, Bogura (coordinates: 24.85118685050941, 89.37440032033948)
Chashi Bazar Fish Market, Bogura (coordinates: 24.85131529709128, 89.37590749259026)
Sherpur Bikal Bazaar, Bogura (coordinates: 24.670902763342134, 89.4182029300077)

The fish images were captured in different local markets, maintaining the actual settings and environment to preserve factors such as variations in appearance and lighting conditions.Heavily overlapping fish, blurry/low-quality images (such as out-of-focus or distorted images) that could reduce model performance were excluded.

Preprocessing: Auto-Orient Applied, Resize Fit within 640x640
Dataset Split: Train Set 70% 3567 Images, Valid Set 20% 1009 Images, Test Set 10% 510 Images
DOI: 10.17632/ywfx54ktvn.2
title: BengalDeltaFish: A Local Dataset for Fish Detection in Bangladeshi Markets

description: "BengalDeltaFish" dataset contains 5086 annotated images of different fish species The images were captured using the main cameras of three different smartphone devices.

Data Source Location:
Natun Bazar Kacha Bazar, Dhaka (coordinates: 23.798456569425063, 90.42559839707305)
Fashertek Hazi Market, Dhaka (coordinates: 23.800797942244163, 90.43089556976807)
Kawran Bazar, Dhaka (coordinates: 23.752118151441238, 90.39410478440936)
Tongi Wholesale Fish Market, Abdullapur (coordinates: 23.88111410293438, 90.3996331962504)
Fateh Ali Bazaar, Bogura (coordinates: 24.85118685050941, 89.37440032033948)
Chashi Bazar Fish Market, Bogura (coordinates: 24.85131529709128, 89.37590749259026)
Sherpur Bikal Bazaar, Bogura (coordinates: 24.670902763342134, 89.4182029300077)

The fish images were captured in different local markets, maintaining the actual settings and environment to preserve factors such as variations in appearance and lighting conditions.Heavily overlapping fish, blurry/low-quality images (such as out-of-focus or distorted images) that could reduce model performance were excluded.

Preprocessing: Auto-Orient Applied, Resize Fit within 640x640
Dataset Split: Train Set 70% 3567 Images, Valid Set 20% 1009 Images, Test Set 10% 510 Images
DOI: 10.17632/ywfx54ktvn.3
title: BengalDeltaFish: A Local Dataset for Fish Detection in Bangladeshi Markets

description: "BengalDeltaFish" dataset contains 5086 annotated images of different fish species The images were captured using the main cameras of three different smartphone devices.

Data Source Location:
Natun Bazar Kacha Bazar, Dhaka (coordinates: 23.798456569425063, 90.42559839707305)
Fashertek Hazi Market, Dhaka (coordinates: 23.800797942244163, 90.43089556976807)
Kawran Bazar, Dhaka (coordinates: 23.752118151441238, 90.39410478440936)
Tongi Wholesale Fish Market, Abdullapur (coordinates: 23.88111410293438, 90.3996331962504)
Fateh Ali Bazaar, Bogura (coordinates: 24.85118685050941, 89.37440032033948)
Chashi Bazar Fish Market, Bogura (coordinates: 24.85131529709128, 89.37590749259026)
Sherpur Bikal Bazaar, Bogura (coordinates: 24.670902763342134, 89.4182029300077)

The fish images were captured in different local markets, maintaining the actual settings and environment to preserve factors such as variations in appearance and lighting conditions.Heavily overlapping fish, blurry/low-quality images (such as out-of-focus or distorted images) that could reduce model performance were excluded.

Preprocessing: Auto-Orient Applied, Resize Fit within 640x640
Dataset Split: Train Set 70% 3567 Images, Valid Set 20% 1009 Images, Test Set 10% 510 Images
DOI: 10.17632/46f4v65b72.1
title: Is There an Industry Effect of SPAC Merger Announcements?

description: This study investigates whether SPAC merger announcements generate competitive effects within their industries. Using a sample of 468 SPAC mergers from 2016 to 2023, the results indicate that rival firms experience significant negative abnormal returns, especially around smaller and riskier deals generating lower announcement returns for SPACs. Additional evidence links more severe rival reactions to higher redemption rates and longer completion timelines. Collectively, the findings suggest that SPAC mergers significantly impact industry competitive dynamics, but that positive market sentiment toward stronger deals can moderate these effects.
DOI: 10.17632/dz598928gg.1
title: Spin Polarized First Principles Study of Rhombohedral R3c AlFeO3 under GGA and GGA+U Framework.

description: Data contains Spin polarized DFT calculation results for rhombohedral R3c phase of AlFeO3 perovskite under both GGA as well as GGA+U framework. Fundamental ground state properties are evaluated, which highlights the multifunctional character of this phase, demonstrating its application potential in various domains such as UV detection/ shielding, limited reflection coatings, multi-stimuli sensors. etc.
DOI: 10.15468/dl.tzhfb8
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Gastrotheca atympana Duellman, Lehr, Rodríguez & von May, 2004"
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026926-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/dx4drbsyfw.1
title: ECMODE-D-24-00730R1

description: replication folder for "Cross-border M&As, international knowledge flow and global value chain upgrading: Evidence from belt & road countries"
DOI: 10.5281/zenodo.15390583
title: Datasets and scripts: ESCHATOLOGY AND CRISIS  A data-driven longitudinal examination of Eschatological Discourses Relating to COVID-19 on 4chan /pol/

description: This is the datasets and python scripts used for the following study, conducted at the Department of the Study of Religion, Aarhus University: "Eschatology and Crisis: A data-driven longitudinal examination of eschatological discourses relating to COVID-19 on 4chan /pol/" by Lauritz Holm Petersen and Uffe Schjoedt.
DOI: 10.5281/zenodo.15390584
title: Datasets and scripts: ESCHATOLOGY AND CRISIS  A data-driven longitudinal examination of Eschatological Discourses Relating to COVID-19 on 4chan /pol/

description: This is the datasets and python scripts used for the following study, conducted at the Department of the Study of Religion, Aarhus University: "Eschatology and Crisis: A data-driven longitudinal examination of eschatological discourses relating to COVID-19 on 4chan /pol/" by Lauritz Holm Petersen and Uffe Schjoedt.
DOI: 10.17632/zggf8pth3h.1
title: Data: The impact of financial uncertainty on the price dynamics of global bond funds

description: The data are used to examines the impact of financial uncertainty shocks on the return and volatility dynamics of global bond funds using four key indicators: The VIX (equity market volatility), MOVE (bond market volatility), GPR (geopolitical risk), and CBDCU (central bank digital currency uncertainty).
DOI: 10.17632/fxs2b83m4j
title: Phase-transition controlled mechanical behavior of methane hydrate: Experimental insight into Temperature-dependent pressure melting

description: This data is the research results for the manuscript of "Phase-transition controlled mechanical behavior of methane hydrate: Experimental insight into Temperature-dependent pressure melting".
DOI: 10.17632/fxs2b83m4j.1
title: Phase-transition controlled mechanical behavior of methane hydrate: Experimental insight into Temperature-dependent pressure melting

description: This data is the research results for the manuscript of "Phase-transition controlled mechanical behavior of methane hydrate: Experimental insight into Temperature-dependent pressure melting".
DOI: 10.17632/fnn6tsjckn.1
title: Two Centuries of Oceanographic Data in the Indonesian Seas and Surroundings: Historical Trends, Gaps, and Future Challenges

description: This dataset contains filtered data from a scientific article titled "Two Centuries of Oceanographic Data in the Indonesian Seas and Surroundings: Historical Trends, Gaps, and Future Challenges". The data were exported from Ocean Data View 5.0.0 with ODV Spreadsheet format in TXT files. All files have the same oceanographic variables: temperature (°C), salinity, dissolved oxygen (μmol/kg), pH, and nitrate (μmol/kg).
The data was downloaded and processed from several data portal including World Ocean Database (WOD-18), Argo Programme, PODC, NANO-DOAP, BRIN, IOCAS, FIO
_______
About the research:
Motivation: We all believe that data collection plays an important role in understanding how the ocean works and its effect on global climate. Thus, this study provides a comprehensive inventory of ocean observation in the Indonesian Seas and Surroundings, highlighting existing data, identifying gaps, and emphasizing the need for future observation. The Indonesian seas and surrounding seas are located on the equator and are the gateway for the movement of water masses from the South China Sea which depicted by orange lines and the Western Pacific which depicted by yellow lines to the Indian Ocean. In this research, nine datasets were used as a source of in-situ data at all depth in the region. These datasets utilized various instruments such as profiling float, acoustic doppler current profiler, and CTD to measure the value of various variables, such as temperature, salinity, and power of hydrogen. Many countries from all over the world such as Indonesia, France, Japan involved in these datasets. As well as University of Padjadjaran which handled the Padjadjaran Oceanographic Data Centre. After data filtering, we found that Approximately 22% of the data was filtered out during quality checks. And Some datasets, like the Rama Buoy, TOA Buoy, and NANO-DOAP, underwent no reduction during the screening process, indicating high-quality, reliable initial data.
Four main findings:
Findings: 
1. Oceanographic data measurements in the ISS have been recorded since 1800.
2. The number of measurement points began to increase in 1901 – 1925
3. The South China Sea and the Malacca Strait have the densest point concentration of all regions
4. Measurement pattern aligns with the Indonesian Archipelagic Sea Lanes (ALKI).
DOI: 10.6084/m9.figshare.29042537.v1
title: The_Role_of_Arbitration_in_Resolving_Collective_La.pdf

description: ADR mechanism in resolving labour disputes has been sucessful and evolving
DOI: 10.6084/m9.figshare.29042537
title: The_Role_of_Arbitration_in_Resolving_Collective_La.pdf

description: ADR mechanism in resolving labour disputes has been sucessful and evolving
DOI: 10.17632/mbvxs72mvd.1
title: Cast per half-degree grid square Python syntax

description: A Python syntax for calculating number of casts in a half-degree squares
DOI: 10.17632/mbvxs72mvd
title: Cast per half-degree Grid Square Python syntax to Compute Data in Indonesian Seas and Surroundings

description: This dataset contains a Python syntax for calculating number of casts in a half-degree squares. 
This syntax is constructed in four main sections:
1. Create a half-degree grid
2. Count points in polygon
3. Create centroids out of it
4. Divide them into 6 quantiles

This syntax is a derivation of the same data processing in QGIS.

_______
About the research:
Motivation: We all believe that data collection plays an important role in understanding how the ocean works and its effect on global climate. Thus, this study provides a comprehensive inventory of ocean observation in the Indonesian Seas and Surroundings, highlighting existing data, identifying gaps, and emphasizing the need for future observation.

The Indonesian seas and surrounding seas are located on the equator and are the gateway for the movement of water masses from the South China Sea which depicted by orange lines and the Western Pacific which depicted by yellow lines to the Indian Ocean.

In this research, nine datasets were used as a source of in-situ data at all depth in the region. These datasets utilized various instruments such as profiling float, acoustic doppler current profiler, and CTD to measure the value of various variables, such as temperature, salinity, and power of hydrogen. Many countries from all over the world such as Indonesia, France, Japan involved in these datasets. As well as University of Padjadjaran which handled the Padjadjaran Oceanographic Data Centre.

After data filtering, we found that Approximately 22% of the data was filtered out during quality checks. And Some datasets, like the Rama Buoy, TOA Buoy, and NANO-DOAP, underwent no reduction during the screening process, indicating high-quality, reliable initial data.

Four main findings:
Findings: 
1. Oceanographic data measurements in the ISS have been recorded since 1800.
2. The number of measurement points began to increase in 1901 – 1925
3. The South China Sea and the Malacca Strait have the densest point concentration of all regions
4. Measurement pattern aligns with the Indonesian Archipelagic Sea Lanes (ALKI).
DOI: 10.17632/mbvxs72mvd.2
title: Cast per half-degree Grid Square Python syntax to Compute Data in Indonesian Seas and Surroundings

description: This dataset contains a Python syntax for calculating number of casts in a half-degree squares. 
This syntax is constructed in four main sections:
1. Create a half-degree grid
2. Count points in polygon
3. Create centroids out of it
4. Divide them into 6 quantiles

This syntax is a derivation of the same data processing in QGIS.

_______
About the research:
Motivation: We all believe that data collection plays an important role in understanding how the ocean works and its effect on global climate. Thus, this study provides a comprehensive inventory of ocean observation in the Indonesian Seas and Surroundings, highlighting existing data, identifying gaps, and emphasizing the need for future observation.

The Indonesian seas and surrounding seas are located on the equator and are the gateway for the movement of water masses from the South China Sea which depicted by orange lines and the Western Pacific which depicted by yellow lines to the Indian Ocean.

In this research, nine datasets were used as a source of in-situ data at all depth in the region. These datasets utilized various instruments such as profiling float, acoustic doppler current profiler, and CTD to measure the value of various variables, such as temperature, salinity, and power of hydrogen. Many countries from all over the world such as Indonesia, France, Japan involved in these datasets. As well as University of Padjadjaran which handled the Padjadjaran Oceanographic Data Centre.

After data filtering, we found that Approximately 22% of the data was filtered out during quality checks. And Some datasets, like the Rama Buoy, TOA Buoy, and NANO-DOAP, underwent no reduction during the screening process, indicating high-quality, reliable initial data.

Four main findings:
Findings: 
1. Oceanographic data measurements in the ISS have been recorded since 1800.
2. The number of measurement points began to increase in 1901 – 1925
3. The South China Sea and the Malacca Strait have the densest point concentration of all regions
4. Measurement pattern aligns with the Indonesian Archipelagic Sea Lanes (ALKI).
DOI: 10.17632/nm5txj3fps.1
title: Softwares to Process Oceanographic Data in the Indonesian Seas and Surroundings

description: This dataset contains software used in scientific article titled "Two Centuries of Oceanographic Data in the Indonesian Seas and Surroundings: Historical Trends, Gaps, and Future Challenges".
List of software:
1. QGIS
2. Ocean Data View 5.7.2
_______
About the research:
Motivation: We all believe that data collection plays an important role in understanding how the ocean works and its effect on global climate. Thus, this study provides a comprehensive inventory of ocean observation in the Indonesian Seas and Surroundings, highlighting existing data, identifying gaps, and emphasizing the need for future observation.

The Indonesian seas and surrounding seas are located on the equator and are the gateway for the movement of water masses from the South China Sea which depicted by orange lines and the Western Pacific which depicted by yellow lines to the Indian Ocean.

In this research, nine datasets were used as a source of in-situ data at all depth in the region. These datasets utilized various instruments such as profiling float, acoustic doppler current profiler, and CTD to measure the value of various variables, such as temperature, salinity, and power of hydrogen. Many countries from all over the world such as Indonesia, France, Japan involved in these datasets. As well as University of Padjadjaran which handled the Padjadjaran Oceanographic Data Centre.

After data filtering, we found that Approximately 22% of the data was filtered out during quality checks. And Some datasets, like the Rama Buoy, TOA Buoy, and NANO-DOAP, underwent no reduction during the screening process, indicating high-quality, reliable initial data.

Four main findings:
Findings: 
1. Oceanographic data measurements in the ISS have been recorded since 1800.
2. The number of measurement points began to increase in 1901 – 1925
3. The South China Sea and the Malacca Strait have the densest point concentration of all regions
4. Measurement pattern aligns with the Indonesian Archipelagic Sea Lanes (ALKI).
DOI: 10.17632/3zd529kwj6.1
title: The complete mitogenome dataset of Hasora Schoenherr (Latreille, 1824) (Lepidoptera: Hesperiidae: Coeliadinae) from Malaysia

description: This dataset described the complete mitochondrial genome of the Yellow Banded Awl skipper, Hasora schoenherr (Lepidoptera: Hesperiidae: Coelidinae) from Malaysia, sequenced using the next-generation sequencing technologies. It has a total length of 15,353bp in length, consisting of 13 protein-coding genes, 22 transfer RNAs, 2 ribosomal rRNAs and a control region. The genomic DNA was extracted from fresh tissue sample of Hasora schoenherr using the Qiagen Blood and Tissue Kit (Qiagen, Valencia, CA) and the library was prepared using NEBNext® Ultra™ II DNA Library Prep Kit for Illumina®. The sample was then sent for sequencing using the Illumina NovaSeq 6000 platform with 150 paired-end mode (PE150). The assembly was done using NOVOPlasty v.4.2 and run through a PALEOMIX BAM pipeline to assess the mitogenome mapping. Annotation was done using the MITOS v2 web server in Galaxy Europe (https://usegalaxy.eu/) and the predicted protein-coding genes were further verified using the Open Reading Frame (ORF) Finder. The annotated mitogenome sequence file was converted into an accepted Genbank format using the GB2sequin web application. The circular mitogenome map was generated using Proksee. The mitogenome is available in Genbank under the accession number PQ149492.
DOI: 10.17632/cpys6ff6m2
title: Supporting data for Detrital zircon evidence for Gondwana accretion and tectonic transition in the northwestern Yangtze Block

description: Please use the link below to access the Tables S1, S2, S3, and S4 for the manuscript "Detrital zircon evidence for Gondwana accretion and tectonic transition in the northwestern Yangtze Block". doi: 10.17632/cpys6ff6m2.1.
DOI: 10.17632/cpys6ff6m2.1
title: Supporting data for Detrital zircon evidence for Gondwana accretion and tectonic transition in the northwestern Yangtze Block

description: Please use the link below to access the Tables S1, S2, S3, and S4 for the manuscript "Detrital zircon evidence for Gondwana accretion and tectonic transition in the northwestern Yangtze Block". doi: 10.17632/cpys6ff6m2.1.
DOI: 10.5281/zenodo.15390480
title: 20250512_Vivian_MHW_mzML_from_20240718
DOI: 10.5281/zenodo.15390481
title: 20250512_Vivian_MHW_mzML_from_20240718
DOI: 10.15468/dl.9ncczy
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Lepidochelys kempii Garman, 1880",
 "Year 2024-2024"
 ]
}

 The dataset includes 9 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026929-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/kjr3xx34ps.1
title: Calcium Isotope Fractionation in Plagioclase from Mafic-Ultramafic Rocks: Implications for Magmatic Processes and Planetary Differentiation

description: There are a total of 8 tables. Table 1 is the major element composition table of the whole rocks from the Panzhihua rock body and the Xiaohaizi rock body. Table 2 is the calcium isotope composition of the whole rocks, clinopyroxene and plagioclase from the two rock bodies. Table 3 is the Estimated Plagioclase-Melt Ca Fractionation Factors at 1000K. Tables S1 to S4 are respectively the major element composition tables of the clinopyroxene and plagioclase from the Panzhihua rock body and the Xiaohaizi rock body. Table S5 is the trace element table of the clinopyroxene and plagioclase from the two rock bodies.
DOI: 10.17632/d8r9sz6yyz.1
title: Increases in humidity will intensify lethal hyperthermia risk for birds occupying humid lowlands

description: Measurements of body temperature, carbon dioxide production and evaporative water loss in trumpeter hornbills at various combinations of air temperature and humidity.
DOI: 10.15468/dl.dzfkdb
title: Occurrence Download

description: A dataset containing 2231 records in GBIF matching the query:
SELECT speciesKey, "year", "month", "day" ,COUNT(*) AS n FROM occurrence WHERE continent='EUROPE' AND "year" &gt;= 2000 AND "year" &lt; 2021 AND speciesKey IN (2477630,2475965,2474953,2477570,2476008,2477220,2476127,2478040,2475016,2475663,2476787,2476715,2475215,2477444,2476373,2477286,2475372,2473559,2474079,2476592,1030984,1032333,1031147,1031732,1032058,1032229,1031613,1031710,1031073,1032020,1030980,1031727,1031610,1030939,1031411,1030892,1030886,1031467,1030870,1032436,2878470,2877977,2880849,2879860,2880998,2874200,2878301,2878433,2873944,2881630,2875962,2875842,2880652,2878169,2881695,2879258,2878434,2873940,2880359,2880680,2693105,2690371,2691012,2690620,2692902,2692604,2692990,2690349,2689903,2690558,2691163,2690283,2693163,2690583,2690291,2690028,2690986,2692867,2693047,2693177,2434901,2432380,2434919,2432915,2432848,2432132,2435427,2433235,2435708,2435518,2433330,2432332,2432643,2432452,2432443,2432422,2432543,2435541,2432540,2433343) AND "day" IS NOT NULL GROUP BY speciesKey, "year", "month" , "day"

 The dataset's 2231 records were derived from 120 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026925-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.