cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7910/dvn/26080/ztyfaj
title: Central Luzon Loop Survey WS 1999.pdf
DOI: 10.7910/dvn/26079/2wimg1
title: Central Luzon Loop Survey WS 1994.pdf
DOI: 10.7910/dvn/26079/6eewv7
title: Central Luzon Loop 1994-95.xlsx
DOI: 10.7910/dvn/26079/fb5jpi
title: Central Luzon Coding Manual.xlsx
DOI: 10.7910/dvn/26079/fsso9q
title: Project Details 1994WS and 1995DS.docx
DOI: 10.7910/dvn/26079/qhwvto
title: Central Luzon Loop Survey DS 1995.pdf
DOI: 10.7910/dvn/26079/tighrh
title: CENTRAL LUZON LOOP (Scan copy).zip
DOI: 10.34740/kaggle/dsv/10780077
title: Mobiles Dataset (2025)
DOI: 10.7910/dvn/25911/j8twyp
title: CENTRAL LUZON LOOP (Scan copy).zip
DOI: 10.7910/dvn/25911/qhgyjv
title: Central Luzon Loop Survey WS 1990.pdf
DOI: 10.7910/dvn/25911/xbzydy
title: Central Luzon Loop Survey DS 1991.pdf
DOI: 10.7910/dvn/25911/zbcqnn
title: Central Luzon Loop 1990-91.xlsx
DOI: 10.7910/dvn/25911/umu0gy
title: Project Details 1990WS and 1991DS.docx
DOI: 10.7910/dvn/25911/zafvtt
title: Central Luzon Coding Manual.xlsx
DOI: 10.7910/dvn/25910/2ozpdu
title: Central Luzon Coding Manual.xlsx
DOI: 10.7910/dvn/25910/5as6hc
title: Central Luzon Loop Survey DS 1987.pdf
DOI: 10.7910/dvn/25910/8nbsar
title: CENTRAL LUZON LOOP (Scan copy).zip
DOI: 10.7910/dvn/25910/alwbjz
title: Central Luzon Loop Survey WS 1986.pdf
DOI: 10.7910/dvn/25910/megq0x
title: Central Luzon Loop 1986-87.xlsx
DOI: 10.7910/dvn/25910/othqii
title: Project Details 1986WS and 1987DS.docx
DOI: 10.15468/dl.c65wj5
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Species recordings from the Danish National Portal Arter.dk",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Alisma gramineum Lej."
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004233-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/25909/bkgzjo
title: Central Luzon Loop 1982.xlsx
DOI: 10.7910/dvn/25909/gwsurg
title: CENTRAL LUZON LOOP (Scan copy).zip
DOI: 10.7910/dvn/25909/kpsojg
title: Project Details 1982WS.docx
DOI: 10.7910/dvn/25909/nzoovn
title: Central Luzon Coding Manual.xlsx
DOI: 10.7910/dvn/25909/rhzjja
title: Central Luzon Loop Survey WS 1982.pdf
DOI: 10.15468/dl.pac8nj
title: Occurrence Download

description: A dataset containing 1469 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is EOD – eBird Observation Dataset",
 "IucnRedListCategory is CR",
 "PublishingCountry is Hong Kong",
 "TaxonKey is Emberizidae",
 "Year 2005-2025"
 ]
}

 The dataset includes 1469 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004234-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/25908/fmuuzv
title: Central Luzon Coding Manual.xlsx
DOI: 10.7910/dvn/25908/hxqzil
title: CENTRAL LUZON LOOP (Scan copy).zip
DOI: 10.7910/dvn/25908/o4gs8f
title: Central Luzon Loop 1979-80.xlsx
DOI: 10.7910/dvn/25908/oyqwlx
title: Central Luzon Loop Survey DS 1980.pdf
DOI: 10.7910/dvn/25908/qsalio
title: Central Luzon Loop Survey WS 1979.pdf
DOI: 10.7910/dvn/25908/ugb4kg
title: Project Details 1979WS and 1980DS.docx
DOI: 10.15468/dl.dtbvu9
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-122.70365 24.01543,-95.29635 24.01543,-95.29635 34.98457,-122.70365 34.98457,-122.70365 24.01543))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Yucca grandiflora Gentry"
 ]
}

 The dataset includes 15 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004235-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qgwdgr
title: Occurrence Download

description: A dataset containing 244 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Amphibians and reptiles of Cabadbaran-Santiago Natural Park, Agusan del Norte, Mindanao, Philippines"
 ]
}

 The dataset includes 244 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004236-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/10107774
title: Paris Road Network Segmentation – Satellite & Mask
DOI: 10.5281/zenodo.14885940
title: Urdu Text Scene Images

description: Description:







Urdu Text Scene Images extraction in natural scenes poses unique challenges, largely due to the lack of publicly available datasets. To address this, we offer an enriched dataset containing 500 high-quality images of Urdu text captured in real-world environments. These images represent diverse settings, lighting conditions, and backgrounds, making it ideal for researchers and developers working on Urdu Optical Character Recognition (OCR) systems.

Dataset Structure

The dataset is structured as follows:



Training Set (Training Raw): Contains raw images featuring Urdu text for model training.

Test Set (Test Raw): A separate set of images for model testing and validation.

Non-Text Set (Non-Text Raw): Scene images with no Urdu text to prevent false positives and enhance text classification models.








Download Dataset









Applications

This dataset is specifically designed to support the following applications:



Urdu Text Detection & Recognition: Building and fine-tuning OCR models for Urdu script in natural scenes.

Multilingual OCR Systems: Extending existing text recognition systems to include Urdu, especially for South Asian languages with similar script structures.

Autonomous Driving & Navigation Systems: Recognizing Urdu text in street signs, direction boards, and public places, improving functionality in Urdu-speaking regions.

Augmented Reality (AR) Applications: Real-time Urdu text translation or interpretation in natural scenes for tourists or native speakers.


Potential Use Cases



Multilingual Document Digitization: This dataset can be integrated into systems designed for multilingual digitization, where recognizing Urdu text in complex backgrounds is critical.

Urban Planning & Smart Cities: The dataset can aid in the development of systems that recognize text in public areas for smart city initiatives and urban planning efforts.

Mobile Applications: Can be used to enhance mobile apps that need to extract and recognize Urdu text for translation or user interaction.


Future Enhancements

Further dataset releases could include a broader array of text instances, incorporating more variations in fonts, languages (including mixed-language scenarios), and additional annotations like bounding boxes for character-level recognition. This would extend its utility in fields like document analysis, smart OCR solutions, and advanced multilingual systems.

This dataset is sourced from Kaggle.
DOI: 10.5281/zenodo.14885941
title: Urdu Text Scene Images

description: Description:







Urdu Text Scene Images extraction in natural scenes poses unique challenges, largely due to the lack of publicly available datasets. To address this, we offer an enriched dataset containing 500 high-quality images of Urdu text captured in real-world environments. These images represent diverse settings, lighting conditions, and backgrounds, making it ideal for researchers and developers working on Urdu Optical Character Recognition (OCR) systems.

Dataset Structure

The dataset is structured as follows:



Training Set (Training Raw): Contains raw images featuring Urdu text for model training.

Test Set (Test Raw): A separate set of images for model testing and validation.

Non-Text Set (Non-Text Raw): Scene images with no Urdu text to prevent false positives and enhance text classification models.








Download Dataset









Applications

This dataset is specifically designed to support the following applications:



Urdu Text Detection & Recognition: Building and fine-tuning OCR models for Urdu script in natural scenes.

Multilingual OCR Systems: Extending existing text recognition systems to include Urdu, especially for South Asian languages with similar script structures.

Autonomous Driving & Navigation Systems: Recognizing Urdu text in street signs, direction boards, and public places, improving functionality in Urdu-speaking regions.

Augmented Reality (AR) Applications: Real-time Urdu text translation or interpretation in natural scenes for tourists or native speakers.


Potential Use Cases



Multilingual Document Digitization: This dataset can be integrated into systems designed for multilingual digitization, where recognizing Urdu text in complex backgrounds is critical.

Urban Planning & Smart Cities: The dataset can aid in the development of systems that recognize text in public areas for smart city initiatives and urban planning efforts.

Mobile Applications: Can be used to enhance mobile apps that need to extract and recognize Urdu text for translation or user interaction.


Future Enhancements

Further dataset releases could include a broader array of text instances, incorporating more variations in fonts, languages (including mixed-language scenarios), and additional annotations like bounding boxes for character-level recognition. This would extend its utility in fields like document analysis, smart OCR solutions, and advanced multilingual systems.

This dataset is sourced from Kaggle.
DOI: 10.15468/dl.gux2em
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((120.48327033409667 33.579998925563984,120.5433834356982 33.579998925563984,120.5433834356982 33.640112027165515,120.48327033409667 33.640112027165515,120.48327033409667 33.579998925563984))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Grus japonensis (Statius Muller, 1776)",
 "Year 1999-2001"
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004237-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/25907/7hcv4t
title: Project Details 1974WS and 1975DS.docx
DOI: 10.7910/dvn/25907/7mga3o
title: Central Luzon Loop Survey WS 1975.pdf
DOI: 10.7910/dvn/25907/dqgs7j
title: Central Luzon Coding Manual.xlsx
DOI: 10.7910/dvn/25907/pbqddr
title: Central Luzon Loop Survey WS 1974.pdf
DOI: 10.7910/dvn/25907/ss2cte
title: Central Luzon Loop 1974-75.xlsx
DOI: 10.7910/dvn/25907/tsavnb
title: CENTRAL LUZON LOOP (Scan copy)_1.zip
DOI: 10.6084/m9.figshare.28399691
title: Data and model of Artifact: Patch Synthesis for Property Repair of Deep Neural Networks

description: This is Artifact for ICSE '25 Artifact Evaluation Submission #71: Patch Synthesis for Property Repair of Deep Neural Networks.After extracting the file, you will find two folders: `data` and `model`. Place them inside the `PatchPRO` folder so that their relative paths are `./PatchPRO/data` and `./PatchPRO/model`. Incorrect paths may cause runtime errors. Ensure proper permissions for these directories.<br>Thank you for using PATCHPRO!
DOI: 10.6084/m9.figshare.28399691.v1
title: Data and model of Artifact: Patch Synthesis for Property Repair of Deep Neural Networks

description: This is Artifact for ICSE '25 Artifact Evaluation Submission #71: Patch Synthesis for Property Repair of Deep Neural Networks.After extracting the file, you will find two folders: `data` and `model`. Place them inside the `PatchPRO` folder so that their relative paths are `./PatchPRO/data` and `./PatchPRO/model`. Incorrect paths may cause runtime errors. Ensure proper permissions for these directories.<br>Thank you for using PATCHPRO!
DOI: 10.7910/dvn/25906/2xhm9m
title: Central Luzon Coding Manual.xlsx
DOI: 10.7910/dvn/25906/77rxdr
title: Project Details 1970WS and 1971DS.docx
DOI: 10.7910/dvn/25906/b7wqki
title: CENTRAL LUZON LOOP (Scan copy).zip
DOI: 10.7910/dvn/25906/nt29qh
title: Central Luzon Loop Survey DS 1971.pdf
DOI: 10.7910/dvn/25906/pvlkmf
title: Central Luzon Loop 1970-71.xlsx
DOI: 10.7910/dvn/25906/xh5wjp
title: Central Luzon Loop Survey WS 1970.pdf
DOI: 10.15468/dl.38j2e3
title: Occurrence Download

description: A dataset containing 106240 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is International Barcode of Life project (iBOL)",
 "GadmLevel0Gid is NOR"
 ]
}

 The dataset includes 106240 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004238-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b8qp64
title: Occurrence Download

description: A dataset containing 105636780 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Observation.org, Nature data from around the World"
 ]
}

 The dataset includes 105636780 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004232-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14885954
title: Persistence of Colistin Resistance and mcr-1.1-Positive E. coli in Poultry Despite Colistin Ban in Japan
DOI: 10.5281/zenodo.14885955
title: Persistence of Colistin Resistance and mcr-1.1-Positive E. coli in Poultry Despite Colistin Ban in Japan
DOI: 10.5281/zenodo.14885911
title: Dataset for computational study of Computational exploration of the inhibitory mechanism of mRNA against the phase separation of hnRNPA2 low complexity domain

description: This dataset consist the following contents:

1. The data used to generate RSET2 trajectories for monomer, monomer with RNA, dimer and dimer with RNA systems, including initial structures, parameter files and topology files;

2. The initial structures for hnRNPA2 FL, hnRNPA2 FL with RNA, hnRNPA2 LCD and hnRNPA2 LCD with RNA systems in phase coexistence simulations;
DOI: 10.5281/zenodo.14885912
title: Dataset for computational study of Computational exploration of the inhibitory mechanism of mRNA against the phase separation of hnRNPA2 low complexity domain

description: This dataset consist the following contents:

1. The data used to generate RSET2 trajectories for monomer, monomer with RNA, dimer and dimer with RNA systems, including initial structures, parameter files and topology files;

2. The initial structures for hnRNPA2 FL, hnRNPA2 FL with RNA, hnRNPA2 LCD and hnRNPA2 LCD with RNA systems in phase coexistence simulations;
DOI: 10.7910/dvn/25904/pqjb5w
title: Project Details 1966WS and 1967DS.docx
DOI: 10.7910/dvn/25904/ddfk1b
title: CENTRAL LUZON LOOP (Scan copy).zip
DOI: 10.7910/dvn/25904/l1vfig
title: Central Luzon Loop Survey WS 1966.pdf
DOI: 10.7910/dvn/25904/oyvnsh
title: Central Luzon Coding Manual.xlsx
DOI: 10.7910/dvn/25904/x6xink
title: Central Luzon Loop 1966-67.xlsx
DOI: 10.7910/dvn/25904/xl3jm2
title: Central Luzon Loop Survey DS 1967.pdf
DOI: 10.6084/m9.figshare.27100795
title: Susastho adolescent Dataset_18.02

description: Significant challenges are present in the development of Bangladesh, with adolescents being the most vulnerable among them. Their vulnerability is partly a predisposition wherein prevailing attitudes are themselves wrapped in taboo and secrecy about sexual, reproductive, and mental health This cultural reluctance impedes open discussion, leaving adolescents without crucial knowledge for their well-being. To address this, there is a plan to develop a chatbot to meet adolescents' informational needs.To build this chatbot, a dataset specifically focused on adolescents has been collected in the domains of Sexual, Reproductive, and Mental Health (SRMH). The goal of this dataset is to develop a conversational agent in Bengali that will help address adolescents' knowledge gaps on these topics and serve as a bridge to enhance understanding within this group. The dataset is qualitative rather than quantitative as it needs to be a source of information and acts as a knowledge base for the chatbot as the chatbot needs to answer queries about SRMH in Bengali. We scrapped the data using manual methods and it had web, domain expert consultation, user consultation, and crowdsourcing as sources. Furthermore, the dataset was preprocessed by domain experts in a Q/A format and queries vs information format. Also, strict ethical guidelines were followed to curate the dataset and it was done with obtaining approval from the UIU (United International University) ethical approval committee.The dataset is divided into two key domains: Sexual & Reproductive Health and Mental Health. Sexual Reproductive Health consists of a total of 1966 data and Mental Health consists of 470 data. These data were augmented later for a total of 7278 data of which 5849 were of Sexual Reproductive Health. The percentage of raw data for Sexual & Reproductive and Mental Health is 80.7% to 19.3% respectively. Furthermore, the percentage of augmented data for SRMH is 80.4% to 19.6% respectively. This clearly shows that we have a skewed distribution and the dataset is imbalanced.<br>
DOI: 10.7910/dvn/25899/2aay2c
title: Project details.xlsx
DOI: 10.7910/dvn/25899/on80ej
title: CodingManual2005.doc
DOI: 10.7910/dvn/25899/qbcmtd
title: CHINA05.xls
DOI: 10.21242/73511.2020.00.00.1.1.0
title: Gewerbesteuerstatistik 2020, On-Site, Version 0
DOI: 10.15468/dl.qtgynm
title: Occurrence Download

description: A dataset containing 315 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Living Specimen, Occurrence evidence)",
 "OccurrenceStatus is Present",
 "TaxonKey is Ginkgo biloba L."
 ]
}

 The dataset includes 315 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004239-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/ycrbvq
title: Ecological Survey of Beigang River and Puzi River Basin in 2023 to 2024

description: The dataset contains biodiversity survey data from the Beigang River and Puzi River basins collected in 2023 and 2024. The "Central Government Integration and Application of Ecological Survey Results in Rivers Administered by Central Government" project performed these surveys.
DOI: 10.15468/dl.2r38mt
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Species recordings from the Danish National Portal Arter.dk",
 "TaxonKey is Callitriche brutia Petagna"
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004240-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.14278/rodare.3013
title: Data publication: Tuning the Electronic Characteristics of Monolayer MoS2-Based Transistors by Ion Irradiation: The Role of the Substrate

description: This study explores defect engineering in 2D materials using ion beam irradiation to modify the electrical and optical properties with potential in advancing quantum electronics and photonics. Helium and neon ions ranging from 5 to 7.5 keV are employed to manipulate charge transport in monolayer molybdenum disulfide (MoS2). In situ electrical characterization occurs without vacuum breakage post-irradiation. Raman and photoluminescence spectroscopy quantify ion irradiation’s impact on MoS2. Small doses of helium ion irradiation enhance monolayer MoS2 conductivity in field-effect transistor geometry by inducing doping and substrate charging. Findings reveal a strong correlation between the electrical properties of MoS2 and the primary ion used, as well as the substrate on which the irradiation occurred. Using hexagonal boron nitride (h-BN) as a buffer layer between MoS2 flake and SiO2 substrate yields distinct alterations in electrical behavior subsequent to ion irradiation compared to the MoS2 layer directly interfacing with SiO2. Molecular dynamics simulations and density functional theory provide insight into experimental results, emphasizing substrate influence on measured electrical properties post-ion irradiation.
DOI: 10.14278/rodare.3014
title: Data publication: Tuning the Electronic Characteristics of Monolayer MoS2-Based Transistors by Ion Irradiation: The Role of the Substrate

description: This study explores defect engineering in 2D materials using ion beam irradiation to modify the electrical and optical properties with potential in advancing quantum electronics and photonics. Helium and neon ions ranging from 5 to 7.5 keV are employed to manipulate charge transport in monolayer molybdenum disulfide (MoS2). In situ electrical characterization occurs without vacuum breakage post-irradiation. Raman and photoluminescence spectroscopy quantify ion irradiation’s impact on MoS2. Small doses of helium ion irradiation enhance monolayer MoS2 conductivity in field-effect transistor geometry by inducing doping and substrate charging. Findings reveal a strong correlation between the electrical properties of MoS2 and the primary ion used, as well as the substrate on which the irradiation occurred. Using hexagonal boron nitride (h-BN) as a buffer layer between MoS2 flake and SiO2 substrate yields distinct alterations in electrical behavior subsequent to ion irradiation compared to the MoS2 layer directly interfacing with SiO2. Molecular dynamics simulations and density functional theory provide insight into experimental results, emphasizing substrate influence on measured electrical properties post-ion irradiation.
DOI: 10.18150/thakvk
title: Data for publication entitled "The catalytic activity of metal–organic frameworks (MOFs) and post-synthetic modified MOF towards depolymerisation of polycarbonate""

description: Research data that was used to create the publication entitled "The catalytic activity of metal–organic frameworks (MOFs) and post-synthetic modified MOF towards depolymerisation of polycarbonate".  All necessary information regarding equipment and methodology is available in the Readme files. The .zip files contain source files that can be opened using publicly available document and image processing programs (notes, Microsoft Word/Excel, Libre Office Calc, Photo Gallery. The files with the extension “.spa” are openable with OMNIC. The NMR files with the extension “.zip” are openable with MestreNova software or others.
DOI: 10.5281/zenodo.8190056
title: Number of Features and Configurations in Linux

description: Anonymous for double-blind submission
DOI: 10.5281/zenodo.10561362
title: Number of Features and Configurations in Linux

description: Anonymous for double-blind submission
DOI: 10.5281/zenodo.14884016
title: How Configurable is the Linux Kernel? Analyzing Two Decades of Feature-Model History

description: Reproduction package for the TOSEM'25 paper "How Configurable is the Linux Kernel? Analyzing Two Decades of Feature-Model History"
DOI: 10.5281/zenodo.8190055
title: How Configurable is the Linux Kernel? Analyzing Two Decades of Feature-Model History

description: Reproduction package for the TOSEM'25 paper "How Configurable is the Linux Kernel? Analyzing Two Decades of Feature-Model History"