cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25346/s6lqjm3j/d9jo4h
title: msXL_341r_MMSI+RTI+M0560LI_009_F.tif
DOI: 10.25346/s6lqjm3j/ydahji
title: msXL_341r_MMSI+RTI+M0530GN_008_F.tif
DOI: 10.25346/s6lqjm3j/kxzfcg
title: msXL_341r_MMSI+RTI+M0505CN_007_F.tif
DOI: 10.25346/s6lqjm3j/0ubyjv
title: msXL_341r_MMSI+RTI+M0470LB_006_F.tif
DOI: 10.25346/s6lqjm3j/13oq78
title: msXL_341r_MMSI+RTI+M0450RB_005_F.tif
DOI: 10.25346/s6lqjm3j/ftos3v
title: msXL_341r_MMSI+RTI+M0420VI_004_F.tif
DOI: 10.25346/s6lqjm3j/dyo6yw
title: msXL_341r_MMSI+RTI+M0400UV_003_F.tif
DOI: 10.25346/s6lqjm3j/emtj7p
title: msXL_341r_MMSI+RTI+M0385UV_002_F.tif
DOI: 10.25346/s6lqjm3j/gt3szu
title: msXL_341r_MMSI+RTI+M0365UV_001_F.tif
DOI: 10.25346/s6lqjm3j/kco2ke
title: msXL_341r_MMSI+RTI+Arc_G15_096_F.tif
DOI: 10.25346/s6lqjm3j/9ucxjh
title: msXL_341r_MMSI+RTI+Arc_G13_095_F.tif
DOI: 10.25346/s6lqjm3j/qhqt4m
title: msXL_341r_MMSI+RTI+Arc_G11_094_F.tif
DOI: 10.25346/s6lqjm3j/6hqm7z
title: msXL_341r_MMSI+RTI+Arc_G09_093_F.tif
DOI: 10.25346/s6lqjm3j/tvqiwk
title: msXL_341r_MMSI+RTI+Arc_G07_092_F.tif
DOI: 10.25346/s6lqjm3j/jevojz
title: msXL_341r_MMSI+RTI+Arc_G05_091_F.tif
DOI: 10.25346/s6lqjm3j/3ji16v
title: msXL_341r_MMSI+RTI+Arc_G03_090_F.tif
DOI: 10.25346/s6lqjm3j/goo8co
title: msXL_341r_MMSI+RTI+Arc_G01_089_F.tif
DOI: 10.25346/s6lqjm3j/kbfzo4
title: msXL_341r_MMSI+RTI+Arc_F16_088_F.tif
DOI: 10.25346/s6lqjm3j/kyujmz
title: msXL_341r_MMSI+RTI+Arc_F14_087_F.tif
DOI: 10.25346/s6lqjm3j/9cc8s3
title: msXL_341r_MMSI+RTI+Arc_F12_086_F.tif
DOI: 10.15468/dl.3eugd2
title: Occurrence Download

description: A dataset containing 870408 species occurrences available in GBIF matching the query:
{
 "and" : [
 "CoordinateUncertaintyInMeters 0.0-5000.0",
 "Country is France",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Nymphalidae, Hesperiidae, Pieridae, Lycaenidae, Riodinidae, Zygaenidae)",
 "Year 2020-2025"
 ]
}

 The dataset includes 870408 records from 1485 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032041-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25346/s6lqjm3j/ffgzhb
title: msXL_341r_MMSI+RTI+Arc_F10_085_F.tif
DOI: 10.25346/s6lqjm3j/9edt3p
title: msXL_341r_MMSI+RTI+Arc_F08_084_F.tif
DOI: 10.25346/s6lqjm3j/rwkbfq
title: msXL_341r_MMSI+RTI+Arc_F06_083_F.tif
DOI: 10.25346/s6lqjm3j/cx3mvx
title: msXL_341r_MMSI+RTI+Arc_F04_082_F.tif
DOI: 10.25346/s6lqjm3j/stzym3
title: msXV_028r_MMSI+RTI+Arc_C13_063_F.tif
DOI: 10.25346/s6lqjm3j/qkknsq
title: msXV_028r_MMSI+RTI+Arc_C11_062_F.tif
DOI: 10.25346/s6lqjm3j/scjk9u
title: msXV_028r_MMSI+RTI+Arc_C09_061_F.tif
DOI: 10.25346/s6lqjm3j/ejdcva
title: msXV_028r_MMSI+RTI+Arc_C07_060_F.tif
DOI: 10.25346/s6lqjm3j/uofj7i
title: msXV_028r_MMSI+RTI+Arc_C05_059_F.tif
DOI: 10.25346/s6lqjm3j/linpld
title: msXV_028r_MMSI+RTI+Arc_C03_058_F.tif
DOI: 10.25346/s6lqjm3j/bu61gp
title: msXV_028r_MMSI+RTI+Arc_C01_057_F.tif
DOI: 10.25346/s6lqjm3j/djsvhi
title: msXV_028r_MMSI+RTI+Arc_B16_056_F.tif
DOI: 10.25346/s6lqjm3j/9yjwg3
title: msXV_028r_MMSI+RTI+Arc_B14_055_F.tif
DOI: 10.25346/s6lqjm3j/ijbcxi
title: msXV_028r_MMSI+RTI+Arc_B12_054_F.tif
DOI: 10.25346/s6lqjm3j/1vzfuh
title: msXV_028r_MMSI+RTI+Arc_B10_053_F.tif
DOI: 10.25346/s6lqjm3j/jfhbwd
title: msXV_028r_MMSI+RTI+Arc_B08_052_F.tif
DOI: 10.25346/s6lqjm3j/nnvol7
title: msXV_028r_MMSI+RTI+Arc_B06_051_F.tif
DOI: 10.25346/s6lqjm3j/nyl8kb
title: msXV_028r_MMSI+RTI+Arc_B04_050_F.tif
DOI: 10.25346/s6lqjm3j/gfxaar
title: msXV_028r_MMSI+RTI+Arc_B02_049_F.tif
DOI: 10.25346/s6lqjm3j/ol65ok
title: msXV_028r_MMSI+RTI+Arc_A15_048_F.tif
DOI: 10.25346/s6lqjm3j/hwmuga
title: msXV_028r_MMSI+RTI+Arc_A13_047_F.tif
DOI: 10.25346/s6lqjm3j/6wk7hu
title: msXV_028r_MMSI+RTI+Arc_A11_046_F.tif
DOI: 10.25346/s6lqjm3j/471lf1
title: msXV_028r_MMSI+RTI+Arc_A09_045_F.tif
DOI: 10.25346/s6lqjm3j/bb5tg9
title: msXV_028r_MMSI+RTI+Arc_A07_044_F.tif
DOI: 10.25346/s6lqjm3j/gke41q
title: msXV_028r_MMSI+RTI+Arc_A05_043_F.tif
DOI: 10.25346/s6lqjm3j/zsxvq8
title: msXV_028r_MMSI+RTI+Arc_A03_042_F.tif
DOI: 10.25346/s6lqjm3j/1zqvlw
title: msXV_028r_MMSI+RTI+Arc_A01_041_F.tif
DOI: 10.25346/s6lqjm3j/upwmbq
title: msXV_025v_MMSI+RTI+M1050IR_019_F.tif
DOI: 10.25346/s6lqjm3j/mre4lm
title: msXV_025v_MMSI+RTI+M0940IR_018_F.tif
DOI: 10.25346/s6lqjm3j/ydxxax
title: msXV_025v_MMSI+RTI+M0850IR_017_F.tif
DOI: 10.25346/s6lqjm3j/blrwow
title: msXV_025v_MMSI+RTI+M0780IR_016_F.tif
DOI: 10.15468/dl.yvw7jv
title: Occurrence Download

description: A dataset containing 527621 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is USA.5.19_1",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 527621 records from 273 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032024-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.11475124
title: Discernment, or "It's a lot about Mom."

description: Joey Jegier and I would like to know, "When it comes to a set of first year student writings (reflections), with what other words does the word 'discernment' keep?" The answer to this question helps address other, broader questions about the ways students' hearts and minds mature over the first year of their college experience.
description: To create this data set we collected a set of student reflections, akin to diary entries, and then we anonymized them. We then created the simplest of Reader metadata.csv files to ultimately build the carrel.
description: All Distant Reader data sets ("study carrels") use the same method of creation. First, a set of narrative files of just about any type and any number are saved in a folder/directory. Second, the plain text is pulled from each file and saved. Third, feature extraction is done against the plain text to create tab-delimited indexes of bibliographics, email addresses, URLs, parts-of-speech, named-entities, and computed keywords. Fourth, all of the indexes are reduced to an SQLite database file. Finally, everything (the original files, the plain text files, the indexes, and SQLite database) is compressed into a zip file for distribution. The result is a platform- and network-independent data set that can be read and processed by any number of GUI applications, programming languages, or a Python module called the Distant Reader Toolbox.
DOI: 10.5281/zenodo.11475125
title: Discernment, or "It's a lot about Mom."

description: Joey Jegier and I would like to know, "When it comes to a set of first year student writings (reflections), with what other words does the word 'discernment' keep?" The answer to this question helps address other, broader questions about the ways students' hearts and minds mature over the first year of their college experience.
description: To create this data set we collected a set of student reflections, akin to diary entries, and then we anonymized them. We then created the simplest of Reader metadata.csv files to ultimately build the carrel.
description: All Distant Reader data sets ("study carrels") use the same method of creation. First, a set of narrative files of just about any type and any number are saved in a folder/directory. Second, the plain text is pulled from each file and saved. Third, feature extraction is done against the plain text to create tab-delimited indexes of bibliographics, email addresses, URLs, parts-of-speech, named-entities, and computed keywords. Fourth, all of the indexes are reduced to an SQLite database file. Finally, everything (the original files, the plain text files, the indexes, and SQLite database) is compressed into a zip file for distribution. The result is a platform- and network-independent data set that can be read and processed by any number of GUI applications, programming languages, or a Python module called the Distant Reader Toolbox.
DOI: 10.6084/m9.figshare.29994127
title: 电影S2.mov

description: ESO-Am 粘合剂在潮湿条件下有效密封 PVC 管中的矩形孔（1.3 厘米× 1.0 厘米）。粘接6分钟后，粘接强度足够强，可承受0.185MPa的水压，超过住宅供水水压标准
DOI: 10.6084/m9.figshare.29994127.v1
title: 电影S2.mov

description: ESO-Am 粘合剂在潮湿条件下有效密封 PVC 管中的矩形孔（1.3 厘米× 1.0 厘米）。粘接6分钟后，粘接强度足够强，可承受0.185MPa的水压，超过住宅供水水压标准
DOI: 10.7910/dvn/aklwjw
title: PDB: 2VXT, IL -18 in complex with125-2H antibody (313K, 40°C, 100 ns)

description: Molecular Dynamics Simulations (100 nanoseconds) of IL -18 in complex with 125-2H antibody at 313K (40°C). Includes PDB files obtained every 50 ns.
DOI: 10.15468/dl.ebbs76
title: Occurrence Download

description: A dataset containing 908 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Attalea allenii",
 "HasCoordinate is true"
 ]
}

 The dataset includes 908 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007327-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6092/unibo/amsacta/8634
title: Dataset for systematic review on the association between psychological defense mechanisms and self-injurious behaviors

description: This dataset consists of an Excel file developed to report the results of searches in electronic databases to review the literature on the association between psychological defense mechanisms and self-injurious behaviors. The electronic databases were searched from inception to 01/27/2025.
DOI: 10.57745/a8gcx7
title: complementary_inputs.zip

description: It contains additional input data in order to run certain scripts that cannot be run on standard machines. These are scripts that require a lot of computing resources (see the README in the GitHub repository). These additional data are all environmental rasters associated with the presence of fish.
DOI: 10.57745/avsqu0
title: outputs.zip

description: It contains examples of script outputs from the GitHub repository. Some of these outputs are required to run the scripts in the scr_metrics_and_figures folder in the GitHub repository.
DOI: 10.57745/pl7uko
title: inputs.zip

description: It contains the basic input data required to run most of the scripts. These data are the environmental rasters for all fish counts, some environmental data for presence-only fish data, tables of fish species data (presence-only and counts), and the outputs of the training models used in the article (training metadata and trained model weights).
DOI: 10.57745/tdweha
title: Data for CNN_SDM_and_RF_for_Fish_2024

description: This dataset provides the input data and sample outputs used in the scripts of the GitHub repository CNN_SDM_and_RF_for_Fish_2024 (https://github.com/Beniofh/CNN_SDM_and_RF_for_Fish_2024), developed to reproduce the results of the species distribution models presented in the scientific article “From presence-only to abundance species distribution models using transfer learning” (https://doi.org/10.1111/ele.70177). It includes three ZIP archives: (1) inputs.zip, containing the core input data required to run most scripts, including environmental rasters for all fish count data, selected environmental variables for presence-only data, fish species tables (presence-only and abundance), and the trained model outputs used in the study (training metadata and model weights); (2) outputs.zip, providing example outputs generated by the scripts, some of which are required to run the scripts in the scr_metrics_and_figures folder of the GitHub repository; and (3) complementary_inputs.zip, offering additional input data needed for scripts requiring substantial computational resources, consisting mainly of full environmental rasters associated with presence-only fish data. This structure allows users with standard machines to run most workflows while enabling advanced users to reproduce the complete set of analyses.
DOI: 10.57745/wcldcb
title: ReadMe.txt

description: ReadMe for this open data repository.
DOI: 10.15468/dl.s9deed
title: Occurrence Download

description: A dataset containing 76 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Ovophis tonkinensis)",
 "Country is one of (China, India, Indonesia, Pakistan, Bangladesh, Japan, Philippines, Viet Nam, Türkiye, Iran (Islamic Republic of), Thailand, Myanmar, Korea, Republic of, Korea (Democratic People’s Republic of), Iraq, Afghanistan, Saudi Arabia, Uzbekistan, Malaysia, Yemen, Nepal, Sri Lanka, Kazakhstan, Syrian Arab Republic, Cambodia, Jordan, Azerbaijan, United Arab Emirates, Tajikistan, Israel, Lao People’s Democratic Republic, Lebanon, Kyrgyzstan, Turkmenistan, Singapore, Oman, Palestine, State of, Kuwait, Georgia, Mongolia, Armenia, Qatar, Bahrain, Timor-Leste, Cyprus, Bhutan, Maldives, Brunei Darussalam)",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2025",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 76 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007328-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17708988
title: Analysis_MicrocutsR035_T3.4.2_DLR

description: Analyzing the laminate quality for the production of pore-free flax PA11 biocomposites. The microcut analysis is used to monitor and validate the consolidation quality of the laminates. This work is part of WP3 and Task 3.4.2 and contributes to establishing a reliable manufacturing process within the BIOntier project.
DOI: 10.5281/zenodo.17708987
title: Analysis_MicrocutsR035_T3.4.2_DLR

description: Analyzing the laminate quality for the production of pore-free flax PA11 biocomposites. The microcut analysis is used to monitor and validate the consolidation quality of the laminates. This work is part of WP3 and Task 3.4.2 and contributes to establishing a reliable manufacturing process within the BIOntier project.
DOI: 10.17632/2r6pkw6bzc
title: Mesoscale fractal whey protein particles derived from microscale linear-shaped protein assemblies (Part 1): Manufacturing method and particle characteristics

description: Supplementary data for the manuscript titled "Mesoscale fractal whey protein particles derived from microscale linear-shaped protein assemblies (Part 1): Manufacturing method and particle characteristics" published in the Journal of Dairy Science
DOI: 10.17632/2r6pkw6bzc.1
title: Mesoscale fractal whey protein particles derived from microscale linear-shaped protein assemblies (Part 1): Manufacturing method and particle characteristics

description: Supplementary data for the manuscript titled "Mesoscale fractal whey protein particles derived from microscale linear-shaped protein assemblies (Part 1): Manufacturing method and particle characteristics" published in the Journal of Dairy Science
DOI: 10.15468/dl.txtt4a
title: Occurrence Download

description: A dataset containing 16858 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Verbesina encelioides"
 ]
}

 The dataset includes 16858 records from 234 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007329-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/fy4kgkgbr7
title: Visual acuity and spatial interactions with L, LM and CM noise optotypes in children

description: Visual acuity and spatial interactions with luminance, luminance-modulated and contrast-modulated noise optotypes in children (3-16 years old) and adults.
DOI: 10.17632/fy4kgkgbr7.1
title: Visual acuity and spatial interactions with L, LM and CM noise optotypes in children

description: Visual acuity and spatial interactions with luminance, luminance-modulated and contrast-modulated noise optotypes in children (3-16 years old) and adults.
DOI: 10.15468/dl.zcq33m
title: Occurrence Download

description: A dataset containing 4771 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-5.32868 47.14673,-1.11543 47.14673,-1.11543 49.29766,-5.32868 49.29766,-5.32868 47.14673))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Apis mellifera"
 ]
}

 The dataset includes 4771 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007330-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/ywbmk6xm65.1
title: Assessing Gaze and Pointing: Human Cue Interpretation by Indian Free-Ranging Dogs in a Food Retrieval Task

description: This datasheet contains the data of the study conducted on Indian free-ranging dogs to understand their ability to follow gazing versus pointing cues for finding hidden food.
DOI: 10.17632/gpmg8hdshh
title: Multilingual Corpus of Poems with Human Reference Translations for Literary Machine Translation Research

description: This dataset contains a multilingual corpus composed of 300 poems and 300 corresponding human reference translations per language pair, totaling 1,800 original poems and 1,800 translated poems. The corpus covers six language pairs: French–Portuguese, French–English, Portuguese–French, Portuguese–English, English–French, and English–Portuguese. The poems were collected from multiple publicly available online sources, digital libraries, and literary websites. All texts are aligned at the poem level to ensure consistency between original and translated versions.

Each record in the dataset includes:
- The original poem (original_poem)
- The human reference translation (translated_poem)
- The source language code (src_lang)
- The target language code (tgt_lang)

This dataset was originally intended to support research in automatic literary translation, serving as ground truth for automatic evaluation metrics such as BLEU, METEOR, BERTScore, and related measures. It enables systematic comparison between machine-generated translations and human references.
DOI: 10.17632/gpmg8hdshh.1
title: Multilingual Corpus of Poems with Human Reference Translations for Literary Machine Translation Research

description: This dataset contains a multilingual corpus composed of 300 poems and 300 corresponding human reference translations per language pair, totaling 1,800 original poems and 1,800 translated poems. The corpus covers six language pairs: French–Portuguese, French–English, Portuguese–French, Portuguese–English, English–French, and English–Portuguese. The poems were collected from multiple publicly available online sources, digital libraries, and literary websites. All texts are aligned at the poem level to ensure consistency between original and translated versions.

Each record in the dataset includes:
- The original poem (original_poem)
- The human reference translation (translated_poem)
- The source language code (src_lang)
- The target language code (tgt_lang)

This dataset was originally intended to support research in automatic literary translation, serving as ground truth for automatic evaluation metrics such as BLEU, METEOR, BERTScore, and related measures. It enables systematic comparison between machine-generated translations and human references.
DOI: 10.15468/dl.r9a9gw
title: Occurrence Download

description: A dataset listing the 1 species recorded in GBIF matching the query:
{
 "TaxonKey" : [
 "is Koeleria sclerophylla"
 ]
}

 The dataset's 1 records were derived from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007317-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17709017
title: National Open Access Monitor, Ireland - Research product metadata

description: This dataset contains the foundational data for the National Open Access Monitor under an open license. OpenAIRE will routinely provide monthly data dumps to Zenodo, encompassing a comprehensive set of data and indicators related to the Open Access Monitor. This collaborative effort ensures accessibility and openness in sharing the data, promoting transparency and facilitating its use for research and analysis purposes.The dataset comprises of the metadata of the research products metadata stored in the parquet format. The file contains two columns ("id", "xml"), the first of which is the OpenAIRE identifier of the research product and the the second the xml representation of the metadata. The schema of the metadata can be found in https://www.openaire.eu/schema/1.0/oaf-1.0.xsd and a detailed description of the contents can be found in https://graph.openaire.eu/docs/ and https://zenodo.org/records/2643199
DOI: 10.17632/5mcx5rv2rp
title: Supplementary Figure 1. Inclusion and exclusion criteria for adults (&gt;18 years) with a first onychomycosis diagnosis identified in the Atropos Eos dataset (2020–present).

description: After excluding individuals with both telehealth and in-person visits or &lt;90 days of pre-index history, 3,905 encounters (in-person = 2,808; telehealth = 1,097) were included at index. Following minimal exclusions for insufficient follow-up, 1,096 telehealth visits were propensity-score matched 1:1 to 1,096 in-person visits to create the final analytic sample.
DOI: 10.17632/5mcx5rv2rp.1
title: Supplementary Figure 1. Inclusion and exclusion criteria for adults (&gt;18 years) with a first onychomycosis diagnosis identified in the Atropos Eos dataset (2020–present).

description: After excluding individuals with both telehealth and in-person visits or &lt;90 days of pre-index history, 3,905 encounters (in-person = 2,808; telehealth = 1,097) were included at index. Following minimal exclusions for insufficient follow-up, 1,096 telehealth visits were propensity-score matched 1:1 to 1,096 in-person visits to create the final analytic sample.
DOI: 10.17632/rfzmm89r5d
title: Molecular mechanism of gallium nitrate in inhibiting bacterial biofilm formation through pykF modulation

description: In the context of bacterial regulation, gallium nitrate—a non-redox analog of iron(III)—inhibits bacterial biofilms and virulence. This study aims to elucidate the potential mechanisms and modes of action through which gallium nitrate regulates bacterial activity and function.
We investigated the antimicrobial properties of gallium nitrate, its impact on bacterial biofilms, and gallium-related bacterial signaling pathways. Following the observation that the antibiofilm activity of gallium nitrate significantly upregulated the expression of pyruvate kinase (the pykF gene), we performed in vitro and in vivo studies to explore how gallium regulates the expression, activity, and function of bacterial pykF.
Crystal violet staining, XTT assay, confocal laser scanning microscopy, and scanning electron microscopy confirmed that gallium nitrate effectively inhibited bacterial biofilm formation and activity. Subsequent transcriptomic sequencing and validation screening identified a potential close association between pykF and gallium nitrate-mediated bacterial inhibition. Finally, both in vitro and in vivo experiments demonstrated that pykF knockout significantly increased bacterial viability as well as biofilm formation ability.
We demonstrated that gallium nitrate regulates bacterial biofilm formation and virulence. Furthermore, its antimicrobial activity was attributed to the upregulation of pykF. Therefore, simultaneous intervention targeting both pykF and gallium may offer a more effective therapeutic strategy against recalcitrant bacterial infections caused by biofilms. Our findings also provide a novel rationale for clinically reducing biofilm formation and mitigating device-associated infections.