cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18329453
title: «ISSIQLIK MASHINALARI VA TABIATNI MUHOFAZA QILISH» MAVZUSINI O'QITISHDA O'QUVCHILARNING ONA TABIATNI SEVISH HISSIYOTLARINI VA FIKRLASH KO'NIKMALARINI RIVOJLANTIRISH IMKONIYATLARI

description: Maqolada umumiy o‘rta ta’lim maktablarida fizika fani kursidan «Issiqlik mashinalari» mavzusini o‘qitish jarayonida tabiatni muhofaza qilish masalalari bilan bog‘lab berish, shuningdek, o‘quvchilarda ona tabiatga bo‘lgan muhabbatni singdirish va ekologik fikrlash ko‘nikmalarini shakllantirishning nazariy-uslubiy imkoniyatlari yoritiladi. 2015–2023-yillarda nashr etilgan adabiyotlarga tayanib, issiqlik dvigatellari issiqlik balansi, KPD, yoqilg‘i turi va chiqindilarning atrof-muhitga ta’siri kabi jihatlar asosida ekologik bilimlarni takomillashtirishning pedagogik shart-sharoitlari tahlil qilinadi.
DOI: 10.15468/dl.zgkvt8
title: Occurrence Download

description: A dataset containing 13152 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lumbricus terrestris"
 ]
}

 The dataset includes 13152 records from 346 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002939-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/pg4shhj73y
title: Evaluation and development of prediction models for enteric methane emissions from cattle in India

description: This dataset contains supplementary materials associated with the manuscript entitled "Evaluation and development of prediction models for enteric methane emissions from cattle in India". It includes Supplementary Table S1 and Supplementary Figure S1-S4.
DOI: 10.17632/pg4shhj73y.1
title: Evaluation and development of prediction models for enteric methane emissions from cattle in India

description: This dataset contains supplementary materials associated with the manuscript entitled "Evaluation and development of prediction models for enteric methane emissions from cattle in India". It includes Supplementary Table S1 and Supplementary Figure S1-S4.
DOI: 10.6084/m9.figshare.31042247
title: Proteomic analysis of cisplatin-induced spermatogenesis defects in mice

description: Cisplatin is a crucial chemotherapeutic agent used for treating various cancers; however, its excessive use can cause irreversible damage to the reproductive system, and the protein expression profile of cisplatin-induced testicular injury remains unclear. Male C57BL/6 mice were treated with cisplatin at various doses, and testes were collected for histological, immunofluorescence, and proteomic analyses. Germ cell loss and apoptosis were assessed using H&E staining, TUNEL assays, and immunofluorescence for LIN28A, SYCP3, MVH, and CDK1. Label-free quantitative proteomics identified differentially expressed proteins, which were analyzed for functional enrichment and protein–protein interactions. We observed that cisplatin treatment led to smaller testes, reduced sperm count, and a significant decrease in the number of spermatocytes and spermatids in mice. Label-free quantitative proteomic analysis revealed that cisplatin significantly reduced the expression of cyclin-dependent kinase 1 (CDK1), a key spermatogenesis regulator, in the testes. Reduction in CDK1 expression is correlated with spermatogenic arrest, particularly in spermatocytes. These findings highlight the critical role of CDK1 in cisplatin-induced spermatogenic dysfunction and provide new insights into fertility preservation strategies for patients with cancer undergoing chemotherapy.
DOI: 10.6084/m9.figshare.31042247.v1
title: Proteomic analysis of cisplatin-induced spermatogenesis defects in mice

description: Cisplatin is a crucial chemotherapeutic agent used for treating various cancers; however, its excessive use can cause irreversible damage to the reproductive system, and the protein expression profile of cisplatin-induced testicular injury remains unclear. Male C57BL/6 mice were treated with cisplatin at various doses, and testes were collected for histological, immunofluorescence, and proteomic analyses. Germ cell loss and apoptosis were assessed using H&E staining, TUNEL assays, and immunofluorescence for LIN28A, SYCP3, MVH, and CDK1. Label-free quantitative proteomics identified differentially expressed proteins, which were analyzed for functional enrichment and protein–protein interactions. We observed that cisplatin treatment led to smaller testes, reduced sperm count, and a significant decrease in the number of spermatocytes and spermatids in mice. Label-free quantitative proteomic analysis revealed that cisplatin significantly reduced the expression of cyclin-dependent kinase 1 (CDK1), a key spermatogenesis regulator, in the testes. Reduction in CDK1 expression is correlated with spermatogenic arrest, particularly in spermatocytes. These findings highlight the critical role of CDK1 in cisplatin-induced spermatogenic dysfunction and provide new insights into fertility preservation strategies for patients with cancer undergoing chemotherapy.
DOI: 10.6084/m9.figshare.31042247.v2
title: Proteomic analysis of cisplatin-induced spermatogenesis defects in mice

description: Cisplatin is a crucial chemotherapeutic agent used for treating various cancers; however, its excessive use can cause irreversible damage to the reproductive system, and the protein expression profile of cisplatin-induced testicular injury remains unclear. Male C57BL/6 mice were treated with cisplatin at various doses, and testes were collected for histological, immunofluorescence, and proteomic analyses. Germ cell loss and apoptosis were assessed using H&E staining, TUNEL assays, and immunofluorescence for LIN28A, SYCP3, MVH, and CDK1. Label-free quantitative proteomics identified differentially expressed proteins, which were analyzed for functional enrichment and protein–protein interactions. We observed that cisplatin treatment led to smaller testes, reduced sperm count, and a significant decrease in the number of spermatocytes and spermatids in mice. Label-free quantitative proteomic analysis revealed that cisplatin significantly reduced the expression of cyclin-dependent kinase 1 (CDK1), a key spermatogenesis regulator, in the testes. Reduction in CDK1 expression is correlated with spermatogenic arrest, particularly in spermatocytes. These findings highlight the critical role of CDK1 in cisplatin-induced spermatogenic dysfunction and provide new insights into fertility preservation strategies for patients with cancer undergoing chemotherapy.
DOI: 10.5281/zenodo.18316099
title: An equipment to control the deformation of the load-bearing structure
DOI: 10.17632/2tbkzdpjy6
title: Data/software for "Synaptic Input Variation Enhances Rate Coding at the Expense of Temporal Precision in Cochlear Nucleus Neurons"

description: Synaptic convergence is fundamental to neuronal circuit function, underpinning computations such as coincidence detection and signal integration. Across sensory systems, convergence architecture and synaptic input strengths are key for extracting stimulus features and processing of sensory information. In the cochlear nucleus, globular bushy cells (GBCs) receive convergent inputs from multiple auditory nerve fibers via large endbulb of Held terminals. While these inputs vary considerably in size, even among those targeting the same cell, the functional consequences of this variation for sound encoding remain unclear. Here, we investigated how synaptic input variation shapes sound encoding in GBCs of Mongolian gerbils using in vitro conductance-clamp recordings and computational modeling. By simulating synaptic inputs with variable strength distributions, we found that increasing input variation enhances rate coding at the expense of temporal precision. These findings suggest that endbulb strength heterogeneity allows the GBC population to operate along a functional continuum, generating diverse information streams to downstream targets.
DOI: 10.5281/zenodo.18328970
title: WP3.3 - Hall-Effect Thruster simulation

description: HET simulation data, based on measurements performed on the MUSIC propulsive system. Used to evaluate the surface interactions between the plume and the satellite in terms of erosion rates.
DOI: 10.5281/zenodo.18328969
title: WP3.3 - Hall-Effect Thruster simulation

description: HET simulation data, based on measurements performed on the MUSIC propulsive system. Used to evaluate the surface interactions between the plume and the satellite in terms of erosion rates.
DOI: 10.17632/2tbkzdpjy6.2
title: Data/software for "Synaptic Input Variation Enhances Rate Coding at the Expense of Temporal Precision in Cochlear Nucleus Neurons"

description: Synaptic convergence is fundamental to neuronal circuit function, underpinning computations such as coincidence detection and signal integration. Across sensory systems, convergence architecture and synaptic input strengths are key for extracting stimulus features and processing of sensory information. In the cochlear nucleus, globular bushy cells (GBCs) receive convergent inputs from multiple auditory nerve fibers via large endbulb of Held terminals. While these inputs vary considerably in size, even among those targeting the same cell, the functional consequences of this variation for sound encoding remain unclear. Here, we investigated how synaptic input variation shapes sound encoding in GBCs of Mongolian gerbils using in vitro conductance-clamp recordings and computational modeling. By simulating synaptic inputs with variable strength distributions, we found that increasing input variation enhances rate coding at the expense of temporal precision. These findings suggest that endbulb strength heterogeneity allows the GBC population to operate along a functional continuum, generating diverse information streams to downstream targets.
DOI: 10.17632/9j447cynb9
title: Bangladesh Air Quality Index (AQI) Dataset (2000–2025): Historical Hourly Air Pollution Data Across 103 Cities

description: The Bangladesh Air Quality Index (AQI) Dataset (2000–2025) is a large-scale, high-resolution environmental dataset providing historical air pollution measurements across 103 cities in Bangladesh. The dataset spans 25 years and contains 1,048,551 hourly records, making it one of the most comprehensive publicly available air quality datasets for the country. It covers urban, divisional, district, sub-district, coastal, and border regions, offering extensive spatial and temporal coverage.

Each record includes concentrations of eight key air pollutants: PM10, PM2.5, CO, CO2, NO2, SO2, O3, along with a composite Air Quality Index (AQI) value. Additional attributes include city identifiers, city names, geographic coordinates (latitude and longitude), and timestamps in ISO 8601 format, ensuring accurate spatial and temporal alignment. The dataset is provided in a standardized CSV format with 13 columns, allowing straightforward integration with statistical analysis, visualization, and machine learning pipelines.

Temporal coverage varies by location, with earlier records concentrated in major metropolitan areas such as Dhaka, Chittagong, and Sylhet, while recent years include expanded coverage of smaller cities and upazilas. The hourly resolution enables detailed short-term variability analysis as well as long-term trend assessment. Geographic coverage spans all major regions of Bangladesh, including the Ganges–Brahmaputra–Meghna delta, coastal zones such as Cox’s Bāzār and Teknāf, and northern border areas like Panchagarh and Thākurgaon.

AQI values are calculated according to the United States Environmental Protection Agency (US EPA) standard and categorized into six levels: Good, Moderate, Unhealthy for Sensitive Groups, Unhealthy, Very Unhealthy, and Hazardous. Some missing values are present due to sensor maintenance, calibration, or data transmission limitations, and variations in monitoring equipment may introduce location- and time-dependent differences.

This dataset supports a wide range of applications, including air quality monitoring, environmental and public health research, climate and urban studies, policy evaluation, and machine learning tasks such as pollutant prediction, city clustering, anomaly detection, and AQI forecasting using models like LSTM, ARIMA, and Prophet. The dataset is released under the Creative Commons Attribution 4.0 (CC BY 4.0) license, allowing unrestricted use, distribution, and adaptation with appropriate attribution.
DOI: 10.17632/9j447cynb9.2
title: Bangladesh Air Quality Index (AQI) Dataset (2000–2025): Historical Hourly Air Pollution Data Across 103 Cities

description: The Bangladesh Air Quality Index (AQI) Dataset (2000–2025) is a large-scale, high-resolution environmental dataset providing historical air pollution measurements across 103 cities in Bangladesh. The dataset spans 25 years and contains 1,048,551 hourly records, making it one of the most comprehensive publicly available air quality datasets for the country. It covers urban, divisional, district, sub-district, coastal, and border regions, offering extensive spatial and temporal coverage.

Each record includes concentrations of eight key air pollutants: PM10, PM2.5, CO, CO2, NO2, SO2, O3, along with a composite Air Quality Index (AQI) value. Additional attributes include city identifiers, city names, geographic coordinates (latitude and longitude), and timestamps in ISO 8601 format, ensuring accurate spatial and temporal alignment. The dataset is provided in a standardized CSV format with 13 columns, allowing straightforward integration with statistical analysis, visualization, and machine learning pipelines.

Temporal coverage varies by location, with earlier records concentrated in major metropolitan areas such as Dhaka, Chittagong, and Sylhet, while recent years include expanded coverage of smaller cities and upazilas. The hourly resolution enables detailed short-term variability analysis as well as long-term trend assessment. Geographic coverage spans all major regions of Bangladesh, including the Ganges–Brahmaputra–Meghna delta, coastal zones such as Cox’s Bāzār and Teknāf, and northern border areas like Panchagarh and Thākurgaon.

AQI values are calculated according to the United States Environmental Protection Agency (US EPA) standard and categorized into six levels: Good, Moderate, Unhealthy for Sensitive Groups, Unhealthy, Very Unhealthy, and Hazardous. Some missing values are present due to sensor maintenance, calibration, or data transmission limitations, and variations in monitoring equipment may introduce location- and time-dependent differences.

This dataset supports a wide range of applications, including air quality monitoring, environmental and public health research, climate and urban studies, policy evaluation, and machine learning tasks such as pollutant prediction, city clustering, anomaly detection, and AQI forecasting using models like LSTM, ARIMA, and Prophet. The dataset is released under the Creative Commons Attribution 4.0 (CC BY 4.0) license, allowing unrestricted use, distribution, and adaptation with appropriate attribution.
DOI: 10.15468/dl.bkw9mb
title: Occurrence Download

description: A dataset containing 54 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((-73.55800000000001 3.968165, -73.62842999999999 3.962596, -73.697124 3.946024, -73.76238600000001 3.918859, -73.822609 3.881771, -73.87630900000001 3.835674, -73.922163 3.781704, -73.959041 3.721191, -73.98603900000001 3.655627, -74.002492 3.586628, -74.007999 3.515891, -74.002425 3.44516, -73.985912 3.376175, -73.958866 3.310635, -73.92195599999999 3.250152, -73.876092 3.196215, -73.82240299999999 3.150151, -73.76221099999999 3.113092, -73.696996 3.085951, -73.62836299999999 3.069395, -73.55800000000001 3.06383, -73.48763700000001 3.069395, -73.419004 3.085951, -73.35378900000001 3.113092, -73.29359700000001 3.150151, -73.239908 3.196215, -73.19404400000001 3.250152, -73.157134 3.310635, -73.130088 3.376175, -73.113575 3.44516, -73.108001 3.515891, -73.113508 3.586628, -73.12996099999999 3.655627, -73.156959 3.721191, -73.193837 3.781704, -73.23969099999999 3.835674, -73.293391 3.881771, -73.35361399999999 3.918859, -73.418876 3.946024, -73.48757000000001 3.962596, -73.55800000000001 3.968165))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 54 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002940-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/bjc4rn4rdz
title: Novel Short-Term MASH Mice Model with Rapid Progression of Steatohepatitis and Fibrosis

description: Supplementary Data enclosed with figure S1 representing the Composition of the MCD diet provided by the VRK Nutritional Solutions, supporting data for the MCD diet used in the novel short-term MASH mice model
DOI: 10.17632/bjc4rn4rdz.1
title: Novel Short-Term MASH Mice Model with Rapid Progression of Steatohepatitis and Fibrosis

description: Supplementary Data enclosed with figure S1 representing the Composition of the MCD diet provided by the VRK Nutritional Solutions, supporting data for the MCD diet used in the novel short-term MASH mice model
DOI: 10.15468/dl.5rw2yb
title: Occurrence Download

description: A dataset containing 52564 records in GBIF matching the query:
SELECT
 '16' AS fish_cell,
 GBIF_MGRSCode(1000, decimalLatitude, decimalLongitude, 0) AS cell, -- NO randomization
 COUNT(DISTINCT speciesKey) AS species_richness
 FROM occurrence
 WHERE hasCoordinate = TRUE
 AND speciesKey IS NOT NULL
 AND NOT ARRAY_CONTAINS(issue, 'ZERO_COORDINATE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_OUT_OF_RANGE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_INVALID')
 AND NOT ARRAY_CONTAINS(issue, 'COUNTRY_COORDINATE_MISMATCH')
 AND decimalLatitude &gt;= -37.42857426825602
 AND decimalLatitude &lt;= -33.06103686093294
 AND decimalLongitude &gt;= 133.58679704081885
 AND decimalLongitude &lt;= 143.91030448513666
 AND "year" &gt;= 2015
 AND "year" &lt;= 2026
 AND (coordinateUncertaintyInMeters &lt;= 100 OR coordinateUncertaintyInMeters IS NULL)
 GROUP BY fish_cell, cell

 The dataset's 52564 records were derived from 131 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002931-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/8pvx2wpbk6
title: Survey Data on Citizens’ Perceptions of Avian and Their Ecosystem Services in Zhoushan

description: This dataset documents a structured questionnaire survey conducted in Zhoushan, China, between April and July 2024. A total of 1,430 valid responses were collected through face-to-face interviews across four administrative regions—Dinghai District, Putuo District, Daishan County, and Shengsi County—in proportion to their population size. The dataset captures multiple dimensions of residents’ interactions with birds and nature, offering a valuable resource for ecological and social research.

The dataset is organized into six main sections: (1) sociodemographic characteristics (gender, age, education, occupation, income); (2) participation in nature-related activities (gardening, recreation, media, reading); (3) bird visibility and species knowledge, based on recognition and identification of nine common species; (4) perceptions of avian ecosystem services and disservices, measured by 14 Likert-scale statements aligned with the CICES framework; (5) nature connectedness, assessed with the NR-14 scale; and (6) conservation attitudes, including awareness, perceived conflicts, preferences, and self-reported behaviors. These data provide a detailed account of public perceptions of birds in an urbanizing coastal city, suitable for descriptive analysis and inferential modeling such as regression and SEM, and can support research on biodiversity conservation, environmental education, and human–nature relationships
DOI: 10.17632/8pvx2wpbk6.3
title: Survey Data on Citizens’ Perceptions of Avian and Their Ecosystem Services in Zhoushan

description: This dataset documents a structured questionnaire survey conducted in Zhoushan, China, between April and July 2024. A total of 1,430 valid responses were collected through face-to-face interviews across four administrative regions—Dinghai District, Putuo District, Daishan County, and Shengsi County—in proportion to their population size. The dataset captures multiple dimensions of residents’ interactions with birds and nature, offering a valuable resource for ecological and social research.

The dataset is organized into six main sections: (1) sociodemographic characteristics (gender, age, education, occupation, income); (2) participation in nature-related activities (gardening, recreation, media, reading); (3) bird visibility and species knowledge, based on recognition and identification of nine common species; (4) perceptions of avian ecosystem services and disservices, measured by 14 Likert-scale statements aligned with the CICES framework; (5) nature connectedness, assessed with the NR-14 scale; and (6) conservation attitudes, including awareness, perceived conflicts, preferences, and self-reported behaviors. These data provide a detailed account of public perceptions of birds in an urbanizing coastal city, suitable for descriptive analysis and inferential modeling such as regression and SEM, and can support research on biodiversity conservation, environmental education, and human–nature relationships
DOI: 10.17632/rdf24xt9xp.1
title: 1_Wuzhong_QC_Data_2024-2025

description: Wuzhong_QC_Data_Carbon
DOI: 10.34943/7602e693-5b6a-4bfe-b785-1585b1572641
title: Cambridge Bay Hydrophone Deployed 2024-08-29

description: The Ocean Sonics icListen HF Hydrophone 1951 was deployed on 2024-08-29 at Cambridge Bay. Cambridge Bay is located on Victoria Island in the Kitikmeot Region of Nunavut, Canada. This device is a Hydrophone. Hydrophones are devices containing transducers that convert underwater sound waves into electrical signals. They are acoustic instruments that can process data while they are being collected to produce calibrated waveform data. Hydrophones are typically used to study vocalizations of marine mammals, ship traffic and ambient noise. It was deployed on a fixed platform. Data from this deployment were archived and made available through Ocean Networks Canada's Oceans 3.0 digital infrastructure, with quality assurance and derived data products following established practices.