cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.13145/bacdive15671.20240510.9
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive15672.20240510.9
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive15673.20240510.9
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive15674.20240510.9
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive15675.20240510.9
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive15676.20240510.9
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive15677.20240510.9
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive15678.20240510.9
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive15679.20240510.9
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive15680.20240510.9
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive15681.20240510.9
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive15682.20240510.9
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive15683.20240510.9
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15468/dl.cq8p4c
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Spio seticornis",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 6 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046067-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/jprdkz8xry
title: Automated Acquisition of Strain and Load Data for Stress–Strain Curve Generation in Concrete Testing Using Open-Source Hardware: An Apparatus Upgrade

description: This repository contains all the files for the experimental system developed to record loads and deformations in concrete tests automatically. It includes the microcontroller source code, data acquisition and processing scripts, the web platform project, computer vision models, and the electronic and mechanical designs necessary for hardware replication.
DOI: 10.17632/jprdkz8xry.1
title: Automated Acquisition of Strain and Load Data for Stress–Strain Curve Generation in Concrete Testing Using Open-Source Hardware: An Apparatus Upgrade

description: This repository contains all the files for the experimental system developed to record loads and deformations in concrete tests automatically. It includes the microcontroller source code, data acquisition and processing scripts, the web platform project, computer vision models, and the electronic and mechanical designs necessary for hardware replication.
DOI: 10.17632/mvv4v9dhvt
title: Toxic effects of undeclared co-formulants in Roundup Transorb® R across all life stages of Scinax fuscovarius

description: Data obtained from the exposure of eggs, tadpoles, and adults of Scinax fuscovarius to pure glyphosate and the Roundup Transorb R formulation. Biomarkers evaluated: tissue architecture loss (AL), melanomacrophage centers (MMC), superoxide dismutase activity (SOD), catalase activity (CAT), lipid peroxidation (LPO), total protein (TP), heart rate (HR); IC50 (applies only to eggs)
DOI: 10.17632/mvv4v9dhvt.1
title: Toxic effects of undeclared co-formulants in Roundup Transorb® R across all life stages of Scinax fuscovarius

description: Data obtained from the exposure of eggs, tadpoles, and adults of Scinax fuscovarius to pure glyphosate and the Roundup Transorb R formulation. Biomarkers evaluated: tissue architecture loss (AL), melanomacrophage centers (MMC), superoxide dismutase activity (SOD), catalase activity (CAT), lipid peroxidation (LPO), total protein (TP), heart rate (HR); IC50 (applies only to eggs)
DOI: 10.17632/mp8gz95nf7
title: Reduced bio-efficacy of aged PermaNet® 3.0 Nets against local pyrethroid-resistant Anopheles arabiensis in Western Kenya

description: 1014 S/F loci show an increase in resistant allele frequencies between 2022 and 2024, with a more pronounced change at the 1014F locus.
DOI: 10.17632/mp8gz95nf7.1
title: Reduced bio-efficacy of aged PermaNet® 3.0 Nets against local pyrethroid-resistant Anopheles arabiensis in Western Kenya

description: 1014 S/F loci show an increase in resistant allele frequencies between 2022 and 2024, with a more pronounced change at the 1014F locus.
DOI: 10.17632/5cdnt4t7xz
title: Targeting mutant NPM1-expressing AML with T-cell receptor-like antibodies

description: Abstract
Mutant NPM1 protein accumulation is a hallmark of acute myeloid leukemia (AML). Although intracellular proteins are generally inaccessible to antibody-based therapies, proteasomal degradation of mutant NPM1 results in the generation of peptides on the tumor cell surface via major histocompatibility complex (MHC) class I molecules. Enhanced presentation of NPM1 mutant A-derived peptides (NPM1mutA283-291-CLAVEEVSL) on HLA-A*02:01-positive tumor cells distinguishes malignant cells from healthy cells. Here, we report the development of an antibody, 2E2, that specifically targets the NPM1 mutant A peptide bound to HLA-A*02:01. We modified 2E2, including chimeric antibodies and bispecific antibodies. Modified antibodies selectively recognize mutant NPM1-expressing cells and mediate antibody-dependent cellular cytotoxicity (ADCC) in vitro. Moreover, bispecific antibodies derived from 2E2 redirect CD3+ T cells and NK cells to mutant NPM1-expressing cells, suppressing tumor growth both in vitro and in vivo. These findings underscore the potential of NPM1 peptide‒MHC complexes as novel immunotherapeutic targets in AML.

Keywords: TCR-like antibody, Acute myeloid leukemia, Tumor immunotherapy, NPM1, HLA
DOI: 10.17632/5cdnt4t7xz.2
title: Targeting mutant NPM1-expressing AML with T-cell receptor-like antibodies

description: Abstract
Mutant NPM1 protein accumulation is a hallmark of acute myeloid leukemia (AML). Although intracellular proteins are generally inaccessible to antibody-based therapies, proteasomal degradation of mutant NPM1 results in the generation of peptides on the tumor cell surface via major histocompatibility complex (MHC) class I molecules. Enhanced presentation of NPM1 mutant A-derived peptides (NPM1mutA283-291-CLAVEEVSL) on HLA-A*02:01-positive tumor cells distinguishes malignant cells from healthy cells. Here, we report the development of an antibody, 2E2, that specifically targets the NPM1 mutant A peptide bound to HLA-A*02:01. We modified 2E2, including chimeric antibodies and bispecific antibodies. Modified antibodies selectively recognize mutant NPM1-expressing cells and mediate antibody-dependent cellular cytotoxicity (ADCC) in vitro. Moreover, bispecific antibodies derived from 2E2 redirect CD3+ T cells and NK cells to mutant NPM1-expressing cells, suppressing tumor growth both in vitro and in vivo. These findings underscore the potential of NPM1 peptide‒MHC complexes as novel immunotherapeutic targets in AML.

Keywords: TCR-like antibody, Acute myeloid leukemia, Tumor immunotherapy, NPM1, HLA
DOI: 10.17632/6tws94jjzm.1
title: Glutaraldehyde-Crosslinked BSA Hydrogels for Cu²⁺, Ni²⁺, and Co²⁺ Removal

description: Heavy metal contamination remains a critical threat to water quality, particularly in effluents associated with industrial activities such as electroplating. This study presents an exploratory proof of concept for a simplified and low-requirement method to fabricate bovine serum albumin (BSA) hydrogels crosslinked with glutaraldehyde (GA) as protein-based adsorbents for Cu²⁺, Ni²⁺, and Co²⁺ removal. Hydrogel slabs were prepared using BSA concentrations of 20% and 25% (w/v) and GA in the 0.6–1.0% (v/v) range, with formulation adjustments guided by handling and aqueous stability. Swelling behavior was monitored for 23 days, and 0.9% (v/v) GA was selected to balance network expansion with hydrogel consistency. Metal removal tests at 50–100 ppm (Cu²⁺, Ni²⁺) and 70–100 ppm (Co²⁺) showed rapid uptake approaching equilibrium within the first hours and improved performance at higher BSA content, achieving maximum removal percent-ages of 99.258% for Cu²⁺, 80.733% for Ni²⁺, and 76.070% for Co²⁺. Adsorption behaviors for Cu²⁺ and Co²⁺ aligned with the Langmuir model, while Ni²⁺ was better described by the Freundlich model. Although the scope is intentionally preliminary and limited to con-trolled synthetic systems, these results support GA-crosslinked BSA hydrogels as promising, easily fabricated adsorbents and establish a foundation for future studies on broader ion selectivity, competitive adsorption, and adsorption–desorption performance.
DOI: 10.17632/dfzbm2ktss
title: Annotated Tyre Image Dataset for Machine Learning-Based Life Prediction

description: This dataset consists of high-resolution images of vehicle tyres that have been acquired in various states of usage. The images have been gathered and labeled for machine learning and computer vision research in the classification of tyre health and prediction of residual life. 
Each image has been labeled with relevant metadata, such as usage history when applicable. Researchers and developers can use this dataset to train and develop convolutional neural networks to classify images as either “defective/good,” while also extending models to continuous regression-based prediction tasks as the model predicts remaining life of the tyre.
DOI: 10.17632/dfzbm2ktss.2
title: Annotated Tyre Image Dataset for Machine Learning-Based Life Prediction

description: This dataset consists of high-resolution images of vehicle tyres that have been acquired in various states of usage. The images have been gathered and labeled for machine learning and computer vision research in the classification of tyre health and prediction of residual life. 
Each image has been labeled with relevant metadata, such as usage history when applicable. Researchers and developers can use this dataset to train and develop convolutional neural networks to classify images as either “defective/good,” while also extending models to continuous regression-based prediction tasks as the model predicts remaining life of the tyre.
DOI: 10.17632/2fttd5bx53
title: Dataset for “Data-driven Regional Analysis of Seasonal Hydrology within Contiguous United States: Sources of Asynchrony between Seasonal Precipitation and Soil Moisture Patterns”

description: This dataset includes all code required to reproduce results in “Data-driven Regional Analysis of Seasonal Hydrology within Contiguous United States: Sources of Asynchrony between Seasonal Precipitation and Soil Moisture Patterns”. Running the numbered scripts in order from 1 to 11 will create the files in the “Processed_Data” and “Results” folders. The numbered scripts will call functions (un-numbered scripts) at run-time. 

For python scripts (extension .py), the command “conda env create -f environment.yml” must be run in the designated directory prior to execution; the environment must also be activated in the conda terminal by running “conda activate pinn_analysis”.

Data from the Livneh et al. (2013) dataset must be downloaded from “https://psl.noaa.gov/data/gridded/data.livneh.html” and stored in the folder named “Data_Livneh” in sub-folders named “Prcp”, “Soil_Moisture”, “Surface_Runoff”, and “Evapotranspiration” for precipitation, soil moisture, runoff, and evapotranspiration, respectively, for the scripts to execute correctly.

Reference: Livneh, B., Rosenberg, E. A., Lin, C., Nijssen, B., Mishra, V., Andreadis, K. M., ... & Lettenmaier, D. P. (2013). A long-term hydrologically based dataset of land surface fluxes and states for the conterminous United States: Update and extensions. Journal of Climate, 26(23), 9384-9392.
DOI: 10.17632/2fttd5bx53.1
title: Dataset for “Data-driven Regional Analysis of Seasonal Hydrology within Contiguous United States: Sources of Asynchrony between Seasonal Precipitation and Soil Moisture Patterns”

description: This dataset includes all code required to reproduce results in “Data-driven Regional Analysis of Seasonal Hydrology within Contiguous United States: Sources of Asynchrony between Seasonal Precipitation and Soil Moisture Patterns”. Running the numbered scripts in order from 1 to 11 will create the files in the “Processed_Data” and “Results” folders. The numbered scripts will call functions (un-numbered scripts) at run-time. 

For python scripts (extension .py), the command “conda env create -f environment.yml” must be run in the designated directory prior to execution; the environment must also be activated in the conda terminal by running “conda activate pinn_analysis”.

Data from the Livneh et al. (2013) dataset must be downloaded from “https://psl.noaa.gov/data/gridded/data.livneh.html” and stored in the folder named “Data_Livneh” in sub-folders named “Prcp”, “Soil_Moisture”, “Surface_Runoff”, and “Evapotranspiration” for precipitation, soil moisture, runoff, and evapotranspiration, respectively, for the scripts to execute correctly.

Reference: Livneh, B., Rosenberg, E. A., Lin, C., Nijssen, B., Mishra, V., Andreadis, K. M., ... & Lettenmaier, D. P. (2013). A long-term hydrologically based dataset of land surface fluxes and states for the conterminous United States: Update and extensions. Journal of Climate, 26(23), 9384-9392.
DOI: 10.15468/dl.erjy4m
title: Occurrence Download

description: A dataset containing 10528725 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "DatasetKey is one of (iNaturalist Research-grade Observations, EOD – eBird Observation Dataset, Birda - Global Observation Dataset)",
 "License is one of (CC-BY 4.0, CC0 1.0)",
 "StateProvince is Oregon",
 "TaxonKey is Aves",
 "Year 2022-2024"
 ]
}

 The dataset includes 10528725 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046053-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.4232/5.za10120.1.0.0
title: ZA10120 GLES Panel 2025, Welle 31
title: ZA10120 GLES Panel 2025, Wave 31

description: Die German Longitudinal Election Study (GLES) ist das zentrale Infrastrukturprojekt in Deutschland für die kontinuierliche Erhebung und Bereitstellung von qualitativ hochwertigen Daten für die nationale und internationale Wahlforschung. Die methodisch vielfältigen Umfragen der GLES ermöglichen die Untersuchung der politischen Einstellungen und Verhaltensweisen der Wählerinnen und Wähler sowie der Kandidatinnen und Kandidaten. Die GLES wird seit Bestehen in enger Kooperation zwischen der Deutschen Gesellschaft für Wahlforschung (DGfW) und GESIS – Leibniz-Institut für Sozialwissenschaften durchgeführt.
Stichprobe A des GLES-Panels besteht aus quotenbasierten Auswahlverfahren wahlberechtigter deutscher Bürgerinnen und Bürger aus mehreren nicht-probabilistischen Online-Panels und ist in fünf Teilstichproben unterteilt. Die Stichproben A1-A3 „2017 Election Campaign“ setzt sich aus den Befragten des Wahlkampf-Panels 2017 zusammen. Stichprobe A wurde anschließend durch die Auffrischungsstichprobe A4 für den Bundestagswahlkampf 2021 (2020) sowie A5 für den Bundestagswahlkampf 2025 (2024) ergänzt. Für die vorgezogene Bundestagswahl 2025 wurden aktive Teilnehmende bis zu fünfmal während des Wahlkampfs und nach der Wahl befragt. Die Befragungen im Rahmen des GLES-Panels ermöglichen weiterhin vielfältige und vertiefte Analysen zu den Auswirkungen politischer Ereignisse und Wahlkämpfe auf Veränderungen politischer Einstellungen und Entscheidungsprozesse.
description: The German Longitudinal Election Study (GLES) is the central infrastructure project in Germany for the continuous collection and provision of high-quality data for national and international election research. The methodologically diverse surveys of the GLES enable the research of political attitudes and behavior of voters and candidates. Since its foundation, the GLES has been conducted in close cooperation between the German Society for Electoral Research (DGfW) and GESIS – Leibniz Institute for the Social Sciences.
Sample A of the GLES Panel consists of quota-based selections of eligible German voters from several non-probability online panels, divided into five subsamples. Participants in the 2017 election campaign surveys were drawn from the main sample A1 (2016), the recontact sample A2 (2013), and the refreshment sample A3 (2017) of the GLES Short-term Campaign Panel 2017. Sample A was further supplemented by refreshment samples A4 for the 2021 election campaign (2020) and A5 for the 2025 election campaign (2024). For the early federal election in 2025, active participants were surveyed up to five times throughout the election campaign and after the federal election. The GLES Panel surveys continue to enable diverse and in-depth analyses of the impact of political events and election campaigns on changes in political attitudes and decision-making processes.
DOI: 10.17632/zktm774z3x
title: FiltDeTox classification of toxin candidates in the paired-end transcriptome of the deep-sea zoanthid Zibrowius primnoidus

description: This dataset contains the outputs of FiltDeTox, a rule-based post-processing framework built on top of DeTox, applied to the paired-end transcriptome of the deep-sea zoanthid Zibrowius primnoidus. Starting from DeTox results, FiltDeTox combines DeTox flags (Rating), secretion predictions (WoLFPSort), HMMER-based mapping to VenomZone toxin families, Pfam toxin domains and toxin-related keywords to classify each ORF into four categories: Toxins-Candidates, Unlikely-Toxins, SCRs-WA (secreted cysteine-rich sequences with weak/absent annotation) and Non-Toxins.

The dataset provides:

• Full_Classified_Data.tsv: complete table with all DeTox ORFs, annotations and the FiltDeTox_Classification column.

• Four per-class tables (Toxins_Candidates.tsv, Unlikely_Toxins.tsv, SCRs_WA.tsv, Non_Toxins.tsv) plus FiltDeTox_Stats.tsv summarising ORF counts per class.

• Per-class mature and precursor FASTA files (…_mature.fasta and …_precursor.fasta) for all four categories.

• Per-class “full-length” TSVs (…_full-length.tsv), precursor FASTA files restricted to complete sequences (…_precursor_full-length-seqs.fasta) and small stats files (…_full-length_stats.txt).

• Pfam_Domain_Summary_with_ORFs_Genes.tsv: domain-wise summary for Toxins-Candidates, including numbers of ORFs/transcripts/genes, total TPM and associated IDs.

• Plot files (PNG and PDF): stacked barplots for FiltDeTox classes and DeTox flags, nested pie charts combining classes and flags, a pie chart of flags within Toxins-Candidates, and a combined dendrogram + dot plot of Pfam domains and their ORF/TPM profiles.

• These files provide a classified and sequence-resolved view of the DeTox-derived toxin landscape in Zibrowius primnoidus, ready for downstream comparative and functional analyses. RNA-seq data are available under BioProject PRJNA1223694.
DOI: 10.17632/zktm774z3x.1
title: FiltDeTox classification of toxin candidates in the paired-end transcriptome of the deep-sea zoanthid Zibrowius primnoidus

description: This dataset contains the outputs of FiltDeTox, a rule-based post-processing framework built on top of DeTox, applied to the paired-end transcriptome of the deep-sea zoanthid Zibrowius primnoidus. Starting from DeTox results, FiltDeTox combines DeTox flags (Rating), secretion predictions (WoLFPSort), HMMER-based mapping to VenomZone toxin families, Pfam toxin domains and toxin-related keywords to classify each ORF into four categories: Toxins-Candidates, Unlikely-Toxins, SCRs-WA (secreted cysteine-rich sequences with weak/absent annotation) and Non-Toxins.

The dataset provides:

• Full_Classified_Data.tsv: complete table with all DeTox ORFs, annotations and the FiltDeTox_Classification column.

• Four per-class tables (Toxins_Candidates.tsv, Unlikely_Toxins.tsv, SCRs_WA.tsv, Non_Toxins.tsv) plus FiltDeTox_Stats.tsv summarising ORF counts per class.

• Per-class mature and precursor FASTA files (…_mature.fasta and …_precursor.fasta) for all four categories.

• Per-class “full-length” TSVs (…_full-length.tsv), precursor FASTA files restricted to complete sequences (…_precursor_full-length-seqs.fasta) and small stats files (…_full-length_stats.txt).

• Pfam_Domain_Summary_with_ORFs_Genes.tsv: domain-wise summary for Toxins-Candidates, including numbers of ORFs/transcripts/genes, total TPM and associated IDs.

• Plot files (PNG and PDF): stacked barplots for FiltDeTox classes and DeTox flags, nested pie charts combining classes and flags, a pie chart of flags within Toxins-Candidates, and a combined dendrogram + dot plot of Pfam domains and their ORF/TPM profiles.

• These files provide a classified and sequence-resolved view of the DeTox-derived toxin landscape in Zibrowius primnoidus, ready for downstream comparative and functional analyses. RNA-seq data are available under BioProject PRJNA1223694.
DOI: 10.17632/b252nsv7kf
title: Supplementary material - Heteromerization of G protein-coupled estrogen receptor with the luteinizing hormone receptor biases G protein signaling

description: The supplementary material includes supplemental figures and the detailed transparent methods.
DOI: 10.17632/b252nsv7kf.3
title: Supplementary material - Heteromerization of G protein-coupled estrogen receptor with the luteinizing hormone receptor biases G protein signaling

description: The supplementary material includes supplemental figures and the detailed transparent methods.