cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/6pd2c48m66.3
title: BRWDS: A Multipurpose Dataset For Bangla Regional Word Detection

description: The BRWDS (Bangla Regional Word Dataset) is a comprehensive collection of commonly used Bengali words that highlights the linguistic diversity across 8 distinct divisions in Bangladesh. This dataset aims to tackle the challenges posed by regional accents and variations in Bengali, which can create barriers to communication. The dataset covers words from the following divisions: Dhaka, Chittagong, Mymensingh, Sylhet, Rajshahi, Khulna, Barishal, and Rangpur. In total, it includes 347 Bengali words that are frequently used in daily conversations across these regions. While Bengali is spoken across all these divisions, each region has its own unique accent, leading to variations in pronunciation and word usage, which are captured in this dataset.

To create this dataset, 12 native speakers from the 8 divisions, as well as one additional district, contributed by providing word samples. The data is stored in XLSX format, making it easily accessible for further research. This dataset has several potential applications, including the development of systems that can automatically detect regional variations in Bengali text, enabling better localization and understanding of regional dialects. It can also help minimize communication barriers caused by accent differences within Bangladesh by offering a more standardized understanding of regional variations. Additionally, the dataset can be used to translate regional words into standard Bengali (Chaste Bengali), making it easier for people to understand each other. The dataset also supports research into linguistic diversity and provides a foundation for future advancements in speech and text processing technologies. The dataset has been reviewed and evaluated by 9 authentic speakers from each division to ensure its accuracy and proper representation of the regional language variations.

Looking forward, the dataset can be further enriched by adding voice data, which would support more advanced research in areas such as speech recognition, accent detection, and machine translation for regional language variants.

Data was situated in Bangla RDS.xlsv . In sheet 1 named Region wise data was collected and evaluated on other sheet named categorize data where all the data was categorized and organize according to common chaste words.
DOI: 10.17632/6pd2c48m66.4
title: BRWDS: A Multipurpose Dataset For Bangla Regional Word Detection

description: The BRWDS (Bangla Regional Word Dataset) is a comprehensive collection of commonly used Bengali words that highlights the linguistic diversity across 8 distinct divisions in Bangladesh. This dataset aims to tackle the challenges posed by regional accents and variations in Bengali, which can create barriers to communication. The dataset covers words from the following divisions: Dhaka, Chittagong, Mymensingh, Sylhet, Rajshahi, Khulna, Barishal, and Rangpur. In total, it includes 347 Bengali words that are frequently used in daily conversations across these regions. While Bengali is spoken across all these divisions, each region has its own unique accent, leading to variations in pronunciation and word usage, which are captured in this dataset.

To create this dataset, 12 native speakers from the 8 divisions, as well as one additional district, contributed by providing word samples. The data is stored in XLSX format, making it easily accessible for further research. This dataset has several potential applications, including the development of systems that can automatically detect regional variations in Bengali text, enabling better localization and understanding of regional dialects. It can also help minimize communication barriers caused by accent differences within Bangladesh by offering a more standardized understanding of regional variations. Additionally, the dataset can be used to translate regional words into standard Bengali (Chaste Bengali), making it easier for people to understand each other. The dataset also supports research into linguistic diversity and provides a foundation for future advancements in speech and text processing technologies. The dataset has been reviewed and evaluated by 9 authentic speakers from each division to ensure its accuracy and proper representation of the regional language variations.

Looking forward, the dataset can be further enriched by adding voice data, which would support more advanced research in areas such as speech recognition, accent detection, and machine translation for regional language variants.

Data was situated in Bangla RDS.xlsv . In sheet 1 named Region wise data was collected and evaluated on other sheet named categorize data where all the data was categorized and organize according to common chaste words.
DOI: 10.6084/m9.figshare.28544036
title: KleinmanFoster_2025_eLife

description: Data set for Kleinman and Foster, 2025, "Spatial localization of hippocampal replay requires dopamine signaling"
DOI: 10.15131/shef.data.27732792
title: Transfer learning for bridge monitoring: model testing of four lab-scale multi-span continuous girder bridges under changing temperatures and damage conditions

description: This dataset is accompanied by a journal paper: “Transfer Learning in Bridge Monitoring: Laboratory Study on Domain Adaptation for Population-Based SHM of Multispan Continuous Girder Bridges”, Valentina Giglioni, Jack Poole, Robin Mills, Ilaria Venanzia, Filippo Ubertini, Keith Worden, MSSP.<br>This dataset was collected with the main aim of investigating methods for population-based SHM. Modal testing was performed on a modular bridge kit which allows for modification of the deck length, and support locations. In this dataset, data are available for four configurations of three span bridges, tested under changing temperatures using an environmental chamber. The bridges were also subjected to several damage conditions. Data were collected via twenty uniaxial 100 mV/g accelerometers, organised in two rows of ten on each edge of the underside of the deck, and the response was measured at a sample rate of 256Hz.<br><br>
DOI: 10.15131/shef.data.27732792.v1
title: Transfer learning for bridge monitoring: model testing of four lab-scale multi-span continuous girder bridges under changing temperatures and damage conditions

description: This dataset is accompanied by a journal paper: “Transfer Learning in Bridge Monitoring: Laboratory Study on Domain Adaptation for Population-Based SHM of Multispan Continuous Girder Bridges”, Valentina Giglioni, Jack Poole, Robin Mills, Ilaria Venanzia, Filippo Ubertini, Keith Worden, MSSP.<br>This dataset was collected with the main aim of investigating methods for population-based SHM. Modal testing was performed on a modular bridge kit which allows for modification of the deck length, and support locations. In this dataset, data are available for four configurations of three span bridges, tested under changing temperatures using an environmental chamber. The bridges were also subjected to several damage conditions. Data were collected via twenty uniaxial 100 mV/g accelerometers, organised in two rows of ten on each edge of the underside of the deck, and the response was measured at a sample rate of 256Hz.<br><br>
DOI: 10.6073/pasta/57c3550d4f789c3a2c57001fa0d4f829
title: Sediment pigment concentrations from lagoon sites along the Alaska Beaufort Sea coast, 2018-ongoing

description: The Beaufort Lagoon Ecosystems Long Term Ecological Research (BLE LTER) project seasonally collects undisturbed surface sediments during full ice cover (April), ice break-up (mid-June to early July), and open water (late July and August) periods from lagoon sites along the Beaufort Sea (Elson, Simpson, Jago, and Kaktovik lagoons, plus Stefansson Sound) to quantify algal pigment concentrations. Pigments reported are chlorophyll a, pheophorbide, pheophytin, chlorophyllide, fucoxanthin, zeaxanthin, alloxanthin, and peridinin. Pigment concentrations are measured using high-precision liquid chromatography (HPLC). Concentrations are represented both as an areal basis (mg/m2 of surface sediment) and a mass basis (μg/g of dry sediment).

 
In 2022 we found that a post-analysis mathematical error generated incorrect concentration values for pigments. This error was identified in subsequent QA/QC and immediately corrected since the raw data were not in error. The entire dataset to date (2018-2021) was revised in spring 2022 with the corrected data (revision knb-lter-ble.12.2).
DOI: 10.15468/dl.yz3whj
title: Occurrence Download

description: A dataset containing 1351 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Stewartia ovata (Cav.) Weath."
 ]
}

 The dataset includes 1351 records from 101 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006437-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qzwqjt
title: Occurrence Download

description: A dataset containing 1724 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "TaxonKey is Prescottia stachyodes (Sw.) Lindl."
 ]
}

 The dataset includes 1724 records from 166 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006442-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kr5tja
title: Occurrence Download

description: A dataset containing 111 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Trachemys nebulosa (Van Denburgh, 1895)"
 ]
}

 The dataset includes 111 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006443-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7kjs5y
title: Occurrence Download

description: A dataset containing 920 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "TaxonKey is Prosthechea aemula (Lindl.) W.E.Higgins"
 ]
}

 The dataset includes 920 records from 81 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006442-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tkpy29
title: Occurrence Download

description: A dataset containing 24 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Anolis punctatus Daudin, 1802"
 ]
}

 The dataset includes 24 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006444-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e221662v1
title: VR Education

description: The present study measured neurologic Immersion in nursing students during a realistic patient journey in VR and in a standard two-dimensional (2D) film. After the film, participants in both conditions had the opportunity to volunteer to help other students. The analysis showed that VR generated 60% more neurologic value than the 2D film, and, by increasing empathic concern, positively influenced the decision to volunteer.
DOI: 10.15468/dl.3gh6s2
title: Occurrence Download

description: A dataset containing 47153 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "OccurrenceStatus is Present",
 "TaxonKey is Megaceryle alcyon (Linnaeus, 1758)",
 "Year 2010-2024"
 ]
}

 The dataset includes 47153 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006445-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.23259866
title: Post-processing quantitative precipitation forecasts using the seasonally coherent calibration model

description: Skilful precipitation ensemble forecasts are necessary to produce trustworthy hydrologic predictions. Raw quantitative precipitation forecasts (QPFs) from the numerical weather prediction (NWP) models are known to be error-prone. In this study, sub-basin averaged deterministic QPFs with five-day lead times from the European Centre for Medium-Range Weather Forecasts (ECMWF) are post-processed through the Seasonally Coherent Calibration (SCC) model for the Narmada and Godavari River basins of India. The SCC model incorporates seasonal climatology from long observations into forecasts and produces calibrated forecasts based on a joint probability model. The SCC model results are compared with the post-processed forecasts from the state-of-the-art Quantile Mapping (QM) method. The results suggest that the probabilistic ensemble forecasts generated from the SCC model have improved skill throughout five-day lead times. Further, the application of SCC-calibrated precipitation forecasts is demonstrated using the Soil & Water Assessment Tool (SWAT) to generate streamflow forecasts.
DOI: 10.6084/m9.figshare.23259866.v2
title: Post-processing quantitative precipitation forecasts using the seasonally coherent calibration model

description: Skilful precipitation ensemble forecasts are necessary to produce trustworthy hydrologic predictions. Raw quantitative precipitation forecasts (QPFs) from the numerical weather prediction (NWP) models are known to be error-prone. In this study, sub-basin averaged deterministic QPFs with five-day lead times from the European Centre for Medium-Range Weather Forecasts (ECMWF) are post-processed through the Seasonally Coherent Calibration (SCC) model for the Narmada and Godavari River basins of India. The SCC model incorporates seasonal climatology from long observations into forecasts and produces calibrated forecasts based on a joint probability model. The SCC model results are compared with the post-processed forecasts from the state-of-the-art Quantile Mapping (QM) method. The results suggest that the probabilistic ensemble forecasts generated from the SCC model have improved skill throughout five-day lead times. Further, the application of SCC-calibrated precipitation forecasts is demonstrated using the Soil & Water Assessment Tool (SWAT) to generate streamflow forecasts.
DOI: 10.21943/auas.28473176
title: Archive (for Internal Purposes)

description: The aim of this project is to explore the role of self-regulated learning (SRL) strategies in blended learning environments (BLEs) within higher education. This research focuses on the implementation, instructional methods, and the effects of these strategies on knowledge retention. The project includes multiple studies utilising a broad array of methods, such as literature reviews, surveys among teachers and students, and field experiments. These approaches are designed to gain insights into how SRL strategies can be effectively implemented and which interaction methods (both human and non-human) are most conducive to successful learning. Ultimately, this project seeks to identify strategies that enhance and support self-regulated learning, which is crucial for fostering academic success in blended learning environments.<br><br>
DOI: 10.21943/auas.28473176.v1
title: Archive (for Internal Purposes)

description: The aim of this project is to explore the role of self-regulated learning (SRL) strategies in blended learning environments (BLEs) within higher education. This research focuses on the implementation, instructional methods, and the effects of these strategies on knowledge retention. The project includes multiple studies utilising a broad array of methods, such as literature reviews, surveys among teachers and students, and field experiments. These approaches are designed to gain insights into how SRL strategies can be effectively implemented and which interaction methods (both human and non-human) are most conducive to successful learning. Ultimately, this project seeks to identify strategies that enhance and support self-regulated learning, which is crucial for fostering academic success in blended learning environments.<br><br>
DOI: 10.5281/zenodo.14976868
title: Dataset for legal metrics
DOI: 10.5281/zenodo.14976869
title: Dataset for legal metrics
DOI: 10.5281/zenodo.14976746
title: AlphaFold2 models of nylon hydrolase homologs
DOI: 10.5281/zenodo.14976747
title: AlphaFold2 models of nylon hydrolase homologs
DOI: 10.48432/kq62c6
title: LiDAR survey on 545.77 hectares in Rio Cueiras, Manaus, Amazonas, Brasil in 2008

description: The LiDAR data Rio Cuieiras, Manaus Municipality (CUI_A01_2008_LiDAR), refers to airborne surveys carried out in 2008 near the ZF-2 road in the Cuieiras Forest Reserve, Amazonas state, Brazil, and funded by grants from NASA (#NNX09AI33G to M. Lefsky et al.) and NSF (#0721140 to S. Saleska, G.G. Parker, Y. Shimabukuro et al.). The CUI_A01_2008 survey area encompasses the km34 LBA eddy flux tower for long-term flux measurements of carbon dioxide and long-term forest inventory plots (Araújo, 2002). The purpose of the NASA and NSF LiDAR projects was to measure forest canopy structure across Amazonian landscapes to infer large-scale forest biomass and carbon balance (Stark et al., 2012). These data have been incorporated into the broader integrated effort of Sustainable Landscapes, a project supported by the United States Agency for International Development (USAID) and US Department of State. The United States Forest Service working in collaboration with the Brazilian Agricultural Research Corporation (Embrapa) have made possible the provision of high accuracy LiDAR data aiming at developing new methods and generating knowledge in the field. This dataset contains: a. Classified LAS formatted point cloud data – compressed LAS files: LAZ format (vendor delivered); b. Digital Terrain Model (vendor delivered); c. Map of LiDAR coverage area and block boundaries; “Data were acquired by the Sustainable Landscapes Brazil project supported by the Brazilian Agricultural Research Corporation (Embrapa), the US Forest Service, USAID and the US Department of State."
DOI: 10.6084/m9.figshare.28544021
title: Structure of epitaxial heteromolecular bilayers probed by low-energy electron microscopy: Primary Data

description: Primary research data for publication:Pavel Procházka, Veronika Stará, Jakub Planer, Tomáš Skála, Jan Čechal: Structure of epitaxial heteromolecular bilayers probed by low-energy electron microscopy.
DOI: 10.15468/dl.b8m3nu
title: Occurrence Download

description: A dataset containing 238 species occurrences available in GBIF matching the query:
{
 "and" : [
 "StateProvince is Massachusetts",
 "TaxonKey is Celithemis martha Williamson, 1922",
 "Year 1999-2025"
 ]
}

 The dataset includes 238 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006450-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g8zqen
title: Occurrence Download

description: A dataset containing 14829 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Iran (Islamic Republic of)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Squamata"
 ]
}

 The dataset includes 14829 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006447-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kgj9vb
title: Occurrence Download

description: A dataset containing 14829 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Iran (Islamic Republic of)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Squamata"
 ]
}

 The dataset includes 14829 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006445-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xep3pg
title: Occurrence Download

description: A dataset containing 14829 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Iran (Islamic Republic of)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Squamata"
 ]
}

 The dataset includes 14829 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006446-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n9cr8a
title: Occurrence Download

description: A dataset containing 5175 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((14.2836 56.32632,11.24527 60.19745,5.76411 62.73123,-0.98127 64.61767,-7.36908 65.23998,-11.81676 61.01194,-12.38415 52.44605,-7.88157 47.01,-4.00129 47.70552,-1.22661 48.02434,6.77929 52.13489,14.2836 56.32632))",
 "TaxonKey is Bonnemaisonia hamifera Hariot"
 ]
}

 The dataset includes 5175 records from 76 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006447-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kkfzy4
title: Occurrence Download

description: A dataset containing 35614 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Lycorma delicatula (White, 1845)"
 ]
}

 The dataset includes 35614 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006452-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4m576u
title: Occurrence Download

description: A dataset containing 10454879 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is USA.46_1",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 10454879 records from 645 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006418-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/pcra-c14-230671
title: Authentic prophets and false prophets = Prorocii veritabili şi prorocii falşi

description: [description english/roman)] Eugen Bodor (1902-1983), during the period between the wars and after WWII has been one of the two Pentecostal ministers with theological studies. He was marginalized by the Communist regime. For writing candestinely a "Bible study about the spiritual gifts" in 1961 he was sentenced to 5 years in prison and confiscation of personal belongings. "Authentic Prophets and False Prophets", dated 1981, is a prophetology handbook drafted by Eugen Bodor.
DOI: 10.15468/dl.ggss9z
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Calamaria alcalai Weinell, Leviton & Brown, 2020)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056048-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.