cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.25465051
title: <b>Procedures of Conducting Library Stock Verification</b>

description: Physical verification of library stock is typically conducted once a year for libraries with less than 20,000 volumes. For libraries with 20,000 to 50,000 volumes, it should be done once every three years, and for those with over 50,000 volumes, at least once every three years. The Head of the Institution shall appoint a Chairman of the Library Physical Verification Committee, which the Library Advisory Committee recommends. The committee then holds a preliminary meeting to discuss the procedures and allocation of duties among its members.<br><br>The physical verification process involves noting the accession numbers of books and documents issued by the circulation counter, preparing separate sheets of paper for each library rack, and comparing them with the Library Accession Register. Gaps in the sheets are identified and noted down in a separate Missing Books List. The list is then checked with previous committee reports and circulated to all sections/divisions in the institution to determine if any books are declared as missing.<br><br>A final Missing Books List is prepared and signed by the Chairman and other members of the committee. The head of the institution takes action based on the committee's recommendations. As per GFR 2005 Rule 194, complete physical verification of books should be done every year for libraries with less than 20,000 volumes, and at least once every three years for those with more than 50,000 volumes
DOI: 10.34740/kaggle/dsv/7920189
title: Egypt Gold Prices | Daily Updated
DOI: 10.34740/kaggle/dsv/7920005
title: Delhi Metro Lost and Found Dataset
DOI: 10.6084/m9.figshare.25465116
title: Maximum size data for living and fossil brachiopods from The demise of large tropical brachiopods and the Mesozoic Marine Revolution

description: Compilation of data for the maximum length of both terebratule and rhynchonellide brachiopods used for Figures 1 and 2.
DOI: 10.6084/m9.figshare.25465116.v1
title: Maximum size data for living and fossil brachiopods from The demise of large tropical brachiopods and the Mesozoic Marine Revolution

description: Compilation of data for the maximum length of both terebratule and rhynchonellide brachiopods used for Figures 1 and 2.
DOI: 10.6084/m9.figshare.25465063
title: Data on the Impact of Higher Education Investment in China's Eight Major Comprehensive Economic Zones on the Urban-Rural Income Gap

description: This study explores the impact of higher education investment in China's eight major comprehensive economic zones on the urban-rural income gap.
DOI: 10.6084/m9.figshare.25465063.v1
title: Data on the Impact of Higher Education Investment in China's Eight Major Comprehensive Economic Zones on the Urban-Rural Income Gap

description: This study explores the impact of higher education investment in China's eight major comprehensive economic zones on the urban-rural income gap.
DOI: 10.5281/zenodo.10847885
title: Multi Resolution Images

description: CASIA-Webface high-resolution images are used to generate multi-resolution images. Before generating the muti-resolution images, we cleaned the CASIA-Webface dataset that initially had 10575 identities and 4,94,414 images in the dataset. After filtering the dataset, there are 10575 identities and 44,14,675 images. In multi-resolution images, the resolution aspects are considered by scaling the images to 14x14, 28x28 and 56x56. Gaussian filters of 7 and 11 are applied to the images to produce low-resolution images. Horizontal and vertical motion blurs of filter size 20 are also added to the images. Random blocks are also generated on the faces.
DOI: 10.5281/zenodo.10847886
title: Multi Resolution Images

description: CASIA-Webface high-resolution images are used to generate multi-resolution images. Before generating the muti-resolution images, we cleaned the CASIA-Webface dataset that initially had 10575 identities and 4,94,414 images in the dataset. After filtering the dataset, there are 10575 identities and 44,14,675 images. In multi-resolution images, the resolution aspects are considered by scaling the images to 14x14, 28x28 and 56x56. Gaussian filters of 7 and 11 are applied to the images to produce low-resolution images. Horizontal and vertical motion blurs of filter size 20 are also added to the images. Random blocks are also generated on the faces.
DOI: 10.5517/ccdc.csd.cc2j7gkt
title: CCDC 2330876: Experimental Crystal Structure Determination

description: Related Article: Ming-Feng Huang, Li-Hui Cao, Bin Zhou|2024|Chem.Commun.|60|3437|doi:10.1039/D4CC00701H
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2j7glv
title: CCDC 2330877: Experimental Crystal Structure Determination

description: Related Article: Ming-Feng Huang, Li-Hui Cao, Bin Zhou|2024|Chem.Commun.|60|3437|doi:10.1039/D4CC00701H
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2gq9yg
title: CCDC 2285566: Experimental Crystal Structure Determination

description: Related Article: Haibo Yao, Lige Qiao, Lequn Yuan, Xueyin Luan, Yunjun Shen, Yuzhen Zhang, Liang Zhou, Hedong Bian|2024|J.Mater.Chem.C|12|4473|doi:10.1039/D4TC00081A
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2j8fx5
title: CCDC 2331817: Experimental Crystal Structure Determination

description: Related Article: Michael Bolte, Simon Berghofer, Matthias Wagner|2024|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5281/zenodo.10863188
title: Antenatal care utilization
DOI: 10.5281/zenodo.10863189
title: Antenatal care utilization
DOI: 10.34740/kaggle/dsv/7920454
title: OnlineFree
DOI: 10.34740/kaggle/dsv/7920453
title: AutoXGB
DOI: 10.6084/m9.figshare.24972594
title: Cappelletti et al. - Unravelling the role of the group 6 soluble di-iron monooxygenase (SDIMO) SmoABCD in alkane metabolism and chlorinated alkane degradation

description: Raw data of the manuscript "Unravelling the role of the group 6 soluble di-iron monooxygenase (SDIMO) SmoABCD in alkane metabolism and chlorinated alkane degradation"
DOI: 10.6084/m9.figshare.24972594.v1
title: Cappelletti et al. - Unravelling the role of the group 6 soluble di-iron monooxygenase (SDIMO) SmoABCD in alkane metabolism and chlorinated alkane degradation

description: Raw data of the manuscript "Unravelling the role of the group 6 soluble di-iron monooxygenase (SDIMO) SmoABCD in alkane metabolism and chlorinated alkane degradation"
DOI: 10.34740/kaggle/dsv/7920442
title: LUFlow Network Intrusion Detection Data Set
DOI: 10.5281/zenodo.10863031
title: Evaluation of comparative efficacy of intralesional Apamarga Ksharodak versus intralesional cidofovir in the management of Charmakeela (warts)
DOI: 10.5281/zenodo.10863032
title: Evaluation of comparative efficacy of intralesional Apamarga Ksharodak versus intralesional cidofovir in the management of Charmakeela (warts)
DOI: 10.6084/m9.figshare.24602406.v2
title: Moreira et al 2023

description: In this study, we conducted phylogenetically controlled analyses testing for associations between genome size, climatic variables, plant traits (defenses and nutrients), and herbivory across 29 oak species
DOI: 10.6084/m9.figshare.24602406.v3
title: Moreira et al 2023

description: In this study, we conducted phylogenetically controlled analyses testing for associations between genome size, climatic variables, plant traits (defenses and nutrients), and herbivory across 29 oak species
DOI: 10.5281/zenodo.10725789
title: NGII Data Set for Black Ice Traffic Accident Prediction

description: NGII Data Set for Black Ice Traffic Accident Prediction
DOI: 10.5281/zenodo.10725790
title: Data Set for Black Ice Traffic Accident Prediction

description: Data Set for Black Ice Traffic Accident Prediction
DOI: 10.5281/zenodo.10863261
title: NGII Data Set for Black Ice Traffic Accident Prediction

description: NGII Data Set for Black Ice Traffic Accident Prediction
DOI: 10.17189/1519717
title: JUNO SW JOVIAN AURORAL DISTRIBUTION UNCALIBRATED V1.0
DOI: 10.5281/zenodo.10383493
title: Atrophy Pattern Maps of Frontotemporal Dementia variants (bvFTD, svPPA, pnfaPPA)

description: The files contain voxel-wise t-statistics maps contrasting deformation based morphometry (DBM) measurements of frontotemporal dementia (FTD) patients, divided according to subtype diagnosis, against matched normal controls.

BV = behavioral-variant Frontotemporal Dementia

SV = semantic-variant Primary Progressive Aphasia

PNFA = non-fluent-variant Primary Progressive Aphasia

 

FTD map is based on NIFD data, available at: https://memory.ucsf.edu/research/studies/nifd

For more information regarding the participants and method details, see:

Dadar, Mahsa, et al. "White matter hyperintensities are associated with grey matter atrophy and cognitive decline in Alzheimer's disease and frontotemporal dementia." Neurobiology of aging 111 (2022): 54-63.

Metz, Amelie, et al. "Brain Atrophy and White Matter Hyperintensities in Frontotemporal Dementia Variants and their Impact on Cognition" [Conference presentation] CCNA 2024 Partners Forum and Science Days (2024, March 19-21).
DOI: 10.17632/wgjsz4n4rb.1
title: Abstracts_Ophthamology_NLP_dataset

description: Our retinal diseases (RenD) dataset comprises of 1000 articles sourced from PubMed, covering various conditions such as diabetic retinopathy (DR), glaucoma, diabetic macular edema (DME), age-related macular degeneration (AMD), cataract, dry eye, retinal detachment, and central serous retinopathy (CSR). To ensure accurate categorization, we enlisted the expertise of six domain specialists who meticulously annotated the articles based on abstracts. To ensure accuracy and reliability in the annotation process, each article in our dataset is reviewed and annotated by at least three individual annotators (see supplemental Table A1 for guidelines for the data annotation). This multiple-annotator approach helps mitigate potential biases and inconsistencies that could arise from a single annotator's perspective. Once the annotation was completed, the final label for each article is determined based on majority voting.
DOI: 10.5281/zenodo.8339655
title: ET-WB: water balance-based estimations of terrestrial evaporation over global land and major global basins

description: This is the readme file for the ET-WB dataset described in the ESSD paper "ET-WB: water balance-based estimations of terrestrial evaporation over global land and major global basins" from Xiong et al. (2023)<br> ET-WB dataset-The monthly water balance data from May 2002-December 2021 for the 168 river basins and global land from 23 precipitation, 29 runoff, and 7 terrestrial water storage changes datasets.<br> The five dimensions (236*169*23*7*29) of the matrix represent the time, regions, precipitation, terrestrial water storage changes, and runoff datasets used respectively.<br> ET-WB is distributed in three kind of formats: Mat (ET-WB.mat), NetCDF (ET_WB.nc), and Shapefile (ET_WB.shp) (only for the ensemble median value). All the formats share the same definitions of dimensions (as below), except for the ArcGIS shapefile that is provided for individual regions (168 river basins and global land excluding Antarctic and Greenland).<br> File shapefile.rar is the geospatial database of the study area that can be opened in ArcGIS software. Please find more details in the Readme file.
description: We re-formatted the NC file and updated the Readme file in this new version 1.2.
DOI: 10.3334/cdiac/lue.002
title: Carbon Flux to the Atmosphere From Land-use Changes: 1850 to 1990 (NDP-050/R1)

description: The database documented in this numeric data package, a revision to a database originally published by the Carbon Dioxide Information Analysis Center (CDIAC) in 1995, consists of annual estimates, from 1850 through 1990, of the net flux of carbon between terrestrial ecosystems and the atmosphere resulting from deliberate changes in land cover and land use, especially forest clearing for agriculture and the harvest of wood for wood products or energy. The data are provided on a year-by-year basis for nine regions (North America, South and Central America, Europe, North Africa and the Middle East, Tropical Africa, the Former Soviet Union, China, South and Southeast Asia, and the Pacific Developed Region) and the globe. Some data begin earlier than 1850 (e.g., for six regions, areas of different ecosystems are provided for the year 1700) or extend beyond 1990 (e.g., fuelwood harvest in South and Southeast Asia, by forest type, is provided through 1995). The global net flux during the period 1850 to 1990 was 124 Pg of carbon (1 petagram = 1015 grams). During this period, the greatest regional flux was from South and Southeast Asia (39 Pg of carbon), while the smallest regional flux was from North Africa and the Middle East (3 Pg of carbon). For the year 1990, the global total net flux was estimated to be 2.1 Pg of carbon.
DOI: 10.5281/zenodo.10511341
title: Raw data and statistical analysis

description: Supplementary data for https://doi.org/10.1084/jem.20221190
DOI: 10.5281/zenodo.10863268
title: Especificação Ontológica de OntoMTD

description: Este arquivo apresenta a especificação ontológica do modelo OntoMTD, com Glossário de termos, Taxonomia de conceitos, Dicionário de conceitos, Relações, Regras e axiomas formais.
DOI: 10.5281/zenodo.10863269
title: Especificação Ontológica de OntoMTD

description: Este arquivo apresenta a especificação ontológica do modelo OntoMTD, com Glossário de termos, Taxonomia de conceitos, Dicionário de conceitos, Relações, Regras e axiomas formais.
DOI: 10.6084/m9.figshare.25465021
title: Archery Data PhD

description: Research in the field of injury psychology leads us to the conclusive ground on the biopsychosocial risk factors associated occurrence of injury, interventions useful to improve the experience of a journey of rehabilitation to return to play. Perhaps, very few studies attempted to understand Indian athletic population socially, physically, psychologically, neurocognitively and genetically and how these variables inculcate into injury mechanism, since the Indian athletic population is relatively the diverse than other nation or ethnicity.
DOI: 10.21227/15nq-n547
title: Automatic Cardiac Diagnosis Challenge

description: The overall ACDC dataset was created from real clinical exams acquired at the University Hospital of Dijon. Acquired data were fully anonymized and handled within the regulations set by the local ethical committee of the Hospital of Dijon (France). Our dataset covers several well-defined pathologies with enough cases to (1) properly train machine learning methods and (2) clearly assess the variations of the main physiological parameters obtained from cine-MRI (in particular diastolic volume and ejection fraction). The dataset is composed of 150 exams (all from different patients) divided into 5 evenly distributed subgroups (4 pathological plus 1 healthy subject groups) as described below. Furthermore, each patient comes with the following additional information : weight, height, as well as the diastolic and systolic phase instants.
DOI: 10.6084/m9.figshare.25465216
title: S1 Data set

description: Supporting Information file
DOI: 10.5281/zenodo.10843854
title: Online repository for Paper "XXX"

description: Summary

This is the online repository for the ICSE'25 under review paper "XXX".

Environment



Defects4J-V1.4.0 (Note that the buggy items in V1.4.0 is identical with V1.2.0, we use V1.4.0 to avoid some problems in V1.2.0)

Defects4J-V2.0.0

Python version >= 3.8.5


Run AgentFL

It's easy to run AgentFL for localizing a bug with the following command:

python3 run.py --config <CONFIG_DIR> --version <D4J_VERSION> --project <PROJECT> --bugID <BUG_ID> --model <GPT_MODEL_NAME>

For example:

python3 run.py --config Default --version 1.4.0 --project Closure --bugID 26 --model GPT_3_5_TURBO

More configs can be seen under the directory AgentFL/Config

Results

We release all of the results of AgentFL in the AgentFL/Results directory, including the evaluation results on Defects4J V1.4.0/V2.0.0 and the ablation study result.

In the result of each bug, we record all of the prompts, responses, and intermediate outputs.

Human Evaluation Results

The human evaluation results can be found in the file AgentFL/EvaluationResult/DebugResult_d4j140_GPT35_human.xlsx
DOI: 10.5281/zenodo.10852713
title: Online repository for Paper "AgentFL: Scaling LLM-based Fault Localization to Project-level Context"

description: Summary

This is the online repository for the ICSE'25 under review paper "AgentFL: Scaling LLM-based Fault Localization to Project-level Context".

Environment



Defects4J-V1.4.0 (Note that the buggy items in V1.4.0 is identical with V1.2.0, we use V1.4.0 to avoid some problems in V1.2.0)

Defects4J-V2.0.0

Python version >= 3.8.5


Defects4J Mod

Before running AgentFL, please apply the files under the AgentFL/Defects4J_mod directory to modify your Defects4J V1.4.0/V2.0.0.

Run AgentFL

It's easy to run AgentFL for localizing a bug with the following command:

python3 run.py --config <CONFIG_DIR> --version <D4J_VERSION> --project <PROJECT> --bugID <BUG_ID> --model <GPT_MODEL_NAME>

For example:

python3 run.py --config Default --version 1.4.0 --project Closure --bugID 26 --model GPT_3_5_TURBO

More configs can be seen under the directory AgentFL/Config

Results

We release all of the results of AgentFL in the AgentFL/Results directory, including the evaluation results on Defects4J V1.4.0/V2.0.0 and the ablation study result.

In the result of each bug, we record all of the prompts, responses, and intermediate outputs.

Human Evaluation Results

The human evaluation results can be found in the file AgentFL/EvaluationResult/DebugResult_d4j140_GPT35_human.xlsx
DOI: 10.5281/zenodo.10863284
title: NGII Data Set for Black Ice Traffic Accident Prediction

description: Title: NGII Data Set for Black Ice Traffic Accident Prediction

This dataset has been processed for scholarly purposes, utilizing data provided by the National Geographic Information Institute of Korea.

<Reference>

National Geographic Information Institute. (n.d.). National Land Information Platform. Retrieved from https://map.ngii.go.kr/ms/map/NlipMap.do
DOI: 10.5281/zenodo.10863283
title: NGII Data Set for Black Ice Traffic Accident Prediction

description: Title: NGII Data Set for Black Ice Traffic Accident Prediction

This dataset has been processed for scholarly purposes, utilizing data provided by the National Geographic Information Institute of Korea.

<Reference>

National Geographic Information Institute. (n.d.). National Land Information Platform. Retrieved from https://map.ngii.go.kr/ms/map/NlipMap.do
DOI: 10.5281/zenodo.10863326
title: Pesquisa de Práticas Genéricas e Específicas

description: Neste arquivo estão as questões usadas no formulário de pesquisa com os colaboradores da organização, cujo resultados formaram a base da práticas para o modelo da pesquisa.
DOI: 10.5281/zenodo.10863327
title: Pesquisa de Práticas Genéricas e Específicas

description: Neste arquivo estão as questões usadas no formulário de pesquisa com os colaboradores da organização, cujo resultados formaram a base da práticas para o modelo da pesquisa.
DOI: 10.6084/m9.figshare.25398895.v4
title: Data related to the identification and genomic characterisation of egoviruses

description: Databases our study used or generated include (1) RNApolA proteins identified from the metagenomic survey, (2) Egovirales RNApolA proteins and major capsid proteins (MCPs) also identified from the metagenomic survey, (3) HMMs for the RNApolA and <i>Egovirales</i> MCP, (4) and the 57 Egovirales genomes &gt;50kb in length (including 13 complete genomes).
DOI: 10.5281/zenodo.10731521
title: outdated open source data

description: These are the outdated open-source data. Pls wait.
DOI: 10.5281/zenodo.10731522
title: open source data for "Transport Mechanism of Microplastics from Clean Sand to Water under Cyclic Hydraulic Loading"

description: These are the open-source data of "Transport Mechanism of Microplastics from Clean Sand to Water under Cyclic Hydraulic Loading"
DOI: 10.5281/zenodo.10863332
title: outdated open source data

description: These are the outdated open-source data. Pls wait.
DOI: 10.5281/zenodo.10863344
title: Middlebury dataset
DOI: 10.5281/zenodo.10863345
title: Middlebury dataset
DOI: 10.17876/plate/dr.3/plates/203_30548
title: Digital object identifier (DOI) for the plate 30548 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/203_30549
title: Digital object identifier (DOI) for the plate 30549 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/203_30550
title: Digital object identifier (DOI) for the plate 30550 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/203_30551
title: Digital object identifier (DOI) for the plate 30551 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/203_30552
title: Digital object identifier (DOI) for the plate 30552 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/203_30553
title: Digital object identifier (DOI) for the plate 30553 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/203_30554
title: Digital object identifier (DOI) for the plate 30554 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/203_30555
title: Digital object identifier (DOI) for the plate 30555 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/203_30556
title: Digital object identifier (DOI) for the plate 30556 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/203_30557
title: Digital object identifier (DOI) for the plate 30557 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/203_30558
title: Digital object identifier (DOI) for the plate 30558 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/203_30559
title: Digital object identifier (DOI) for the plate 30559 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/203_30560
title: Digital object identifier (DOI) for the plate 30560 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/203_30561
title: Digital object identifier (DOI) for the plate 30561 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/203_30562
title: Digital object identifier (DOI) for the plate 30562 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/203_30563
title: Digital object identifier (DOI) for the plate 30563 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/203_30564
title: Digital object identifier (DOI) for the plate 30564 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/203_30565
title: Digital object identifier (DOI) for the plate 30565 in archive 203 from the APPLAUSE DR3