cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.17494468
title: Adaptable economies: Depth‐dependent plant carbon allocation acquires distinct phosphorus forms

description: This repository contains the R script and datasets needed for the analyses described in the manuscript, "Adaptable economies: Depth‐dependent plant carbon allocation acquires distinct phosphorus forms."  The repository includes the following files: 

GreenhouseScript_Cleaned.R: Cleaned R script used to run statistical analyses and generate plots for the above manuscript.Cstocks.csv: Data file contaning root and foliar carbon stock data.GreenhouseDataSummary3_101321.csv: Data file with all data compiled in one place, used to run phosphatase analyses in the R script. GreenhouseRootCounts_2_109cm_101221: Data file containing root count data from soil surface to 109 cm deep, presence absence data for each 1 cm layer. Used for root distribution analyses. PlantP_Concentrations_Edit.csvPStocks4.csv: Data file with cumulative plant (root and shoot) and soil P stocks collected from described experiment. PStocks_totals_010825.csv: Data file containing all foliar, root, and soil P data, depth specific not cumulative.  Greenhouse_PcalcWorkbook_EH_080125_Version2_update depths-2.csv: Soil P fractions spreadsheet including organic P, inorganic P, recalcitrant P and P in soil extracts used to calcualte soil Po and Pi totals. PHorizons.csv: Soil P data summed by 'layer' for analysis of shallow and deep soils in the described experiment. 

We have also uploaded 3 photos (.jpg files) of the experimental set up and root sampling to provide context for the manuscript and data.
DOI: 10.5281/zenodo.17495105
title: Adaptable economies: Depth‐dependent plant carbon allocation acquires distinct phosphorus forms

description: This repository contains the R script and datasets needed for the analyses described in the manuscript, "Adaptable economies: Depth‐dependent plant carbon allocation acquires distinct phosphorus forms."  The repository includes the following files: 

GreenhouseScript_Cleaned.R: Cleaned R script used to run statistical analyses and generate plots for the above manuscript.Cstocks.csv: Data file contaning root and foliar carbon stock data.GreenhouseDataSummary3_101321.csv: Data file with all data compiled in one place, used to run phosphatase analyses in the R script. GreenhouseRootCounts_2_109cm_101221: Data file containing root count data from soil surface to 109 cm deep, presence absence data for each 1 cm layer. Used for root distribution analyses. PlantP_Concentrations_Edit.csvPStocks4.csv: Data file with cumulative plant (root and shoot) and soil P stocks collected from described experiment. PStocks_totals_010825.csv: Data file containing all foliar, root, and soil P data, depth specific not cumulative.  Greenhouse_PcalcWorkbook_EH_080125_Version2_update depths-2.csv: Soil P fractions spreadsheet including organic P, inorganic P, recalcitrant P and P in soil extracts used to calcualte soil Po and Pi totals. PHorizons.csv: Soil P data summed by 'layer' for analysis of shallow and deep soils in the described experiment. 

We have also uploaded 3 photos (.jpg files) of the experimental set up and root sampling to provide context for the manuscript and data.
DOI: 10.5281/zenodo.17495062
title: Form Response (Bahasa)
DOI: 10.5281/zenodo.17495061
title: Form Response (Bahasa)
DOI: 10.24435/materialscloud:fj-a1
title: Integer linear programming for unsupervised training set selection in molecular machine learning

description: Integer linear programming (ILP) is an elegant approach to solve linear optimization problems, naturally described using integer decision variables. Within the context of physics-inspired machine learning (ML) applied to chemistry, we demonstrate the relevance of an ILP formulation to select molecular training sets for predictions of size-extensive properties. We show that our algorithm outperforms existing unsupervised training set selection approaches, especially when predicting properties of molecules larger than those present in the training set. We argue that the reason for the improved performance is due to the selection that is based on the notion of local similarity (i.e. per-atom) and a unique ILP approach that finds optimal solutions efficiently. Altogether, this work provides a practical algorithm to improve the performance of physics-inspired ML models and offers insights into the conceptual differences with existing training set selection approaches.
DOI: 10.24435/materialscloud:qh-zc
title: Integer linear programming for unsupervised training set selection in molecular machine learning

description: Integer linear programming (ILP) is an elegant approach to solve linear optimization problems, naturally described using integer decision variables. Within the context of physics-inspired machine learning (ML) applied to chemistry, we demonstrate the relevance of an ILP formulation to select molecular training sets for predictions of size-extensive properties. We show that our algorithm outperforms existing unsupervised training set selection approaches, especially when predicting properties of molecules larger than those present in the training set. We argue that the reason for the improved performance is due to the selection that is based on the notion of local similarity (i.e. per-atom) and a unique ILP approach that finds optimal solutions efficiently. Altogether, this work provides a practical algorithm to improve the performance of physics-inspired ML models and offers insights into the conceptual differences with existing training set selection approaches.
DOI: 10.5281/zenodo.17493239
title: Pirelli Winter Test

description: Pirelli dataset for smart tire and brake by wire control system.

Reference activity MOST Spoke 6 - WP4 - CAV Enhancement through Smart Tyres.

Restricted access.

For data access, please send request to:

Gabriele Montorio: gabriele.montorio@pirelli.com

Limited use for MOST Spoke 6 partner.

No sharing, modification, citation allowed without permission.
DOI: 10.5281/zenodo.17493240
title: Pirelli Winter Test

description: Pirelli dataset for smart tire and brake by wire control system.

Reference activity MOST Spoke 6 - WP4 - CAV Enhancement through Smart Tyres.

Restricted access.

For data access, please send request to:

Gabriele Montorio: gabriele.montorio@pirelli.com

Limited use for MOST Spoke 6 partner.

No sharing, modification, citation allowed without permission.
DOI: 10.15468/dl.p7jbg6
title: Occurrence Download

description: A dataset containing 11610 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Angola",
 "OccurrenceStatus is Present",
 "TaxonKey is Lepidoptera"
 ]
}

 The dataset includes 11610 records from 50 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009950-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17447997
title: Optimized quantitative bacterial two-hybrid (qB2H) for protein-protein interaction assessment.

description: The present repository is dedicated to host datasets, jupyter notebooks and some results related to the development of quantitative bacterial two-hybrid system (qB2H) developed by SBE Team and cols.

To learn more please, visit: 

SBE Team: https://joliot.cea.fr/drf/joliot/en/Pages/research_entities/medicines_healthcare_technologies/simos/licb.aspxGitHub: synth-bio-evo/mave2imapPipy:  mave2imapPublications: Antoine Guyot, Emma Maillard, Kelly Ferreira-Pinto, Laure Plancon-Arnould, Aravindan A. Nadaradjane, Francoise Ochsenbein, Raphael Guerois, Loic Martin, Oscar H. Pereira Ramos. "Optimized quantitative bacterial two-hybrid (qB2H) for protein-protein interaction assessment". bioRxiv (2025; https://www.biorxiv.org/content/10.1101/2025.10.29.680610v1 ).
DOI: 10.5281/zenodo.15690360
title: Optimized quantitative bacterial two-hybrid (qB2H) for protein-protein interaction assessment.

description: The present repository is dedicated to host datasets, jupyter notebooks and some results related to the development of quantitative bacterial two-hybrid system (qB2H) developed by SBE Team and cols.

To learn more please, visit: 

SBE Team: https://joliot.cea.fr/drf/joliot/en/Pages/research_entities/medicines_healthcare_technologies/simos/licb.aspxGitHub: synth-bio-evo/mave2imapPipy:  mave2imapPublications: Antoine Guyot, Emma Maillard, Kelly Ferreira-Pinto, Laure Plancon-Arnould, Aravindan A. Nadaradjane, Francoise Ochsenbein, Raphael Guerois, Loic Martin, Oscar H. Pereira Ramos. "Optimized quantitative bacterial two-hybrid (qB2H) for protein-protein interaction assessment". bioRxiv (2025; https://www.biorxiv.org/content/10.1101/2025.10.29.680610v1 ).
DOI: 10.7910/dvn/yx56om
title: Intranasal Insulin Mitigates Memory Impairment and Neuroinflammation in a Mouse Model of Hippocampal Aging

description: This dataset contains the original data (behavioral experiments, Western blots) underlying the manuscript with the title mentioned above.
DOI: 10.5281/zenodo.17494792
title: Data for "Calibrating Event Based Camera for High Speed Observation"

description: Data related to "Calibrating Event Based Camera for High Speed Observation". 

The original event camera data for threshold and refractory period calibration is found in ThreshData.zip and RefrData.zip respectively.

The data used for the calibration of the low-pass filter related to figure 4 and 6 is found in 

20250211_events_change_by_fo_refr235_v2(1).csv
DOI: 10.5281/zenodo.17494793
title: Data for "Calibrating Event Based Camera for High Speed Observation"

description: Data related to "Calibrating Event Based Camera for High Speed Observation". 

The original event camera data for threshold and refractory period calibration is found in ThreshData.zip and RefrData.zip respectively.

The data used for the calibration of the low-pass filter related to figure 4 and 6 is found in 

20250211_events_change_by_fo_refr235_v2(1).csv
DOI: 10.15468/dl.8km45m
title: Occurrence Download

description: A dataset containing 42044 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "OccurrenceStatus is Present",
 "StateProvince is one of (Maine (ME), Maine, Maine (State), Maine, USA, MAINE SEA-COAST, Maine / Massachusetts / New Hampshire, Maine / New Hampshire, Maine ?, Maine State, Maine, Massachusetts or New Hampshire, Maine, Monhegan Island, Maine; Sagadahoc Co.; NE of Portland; Georgetown I)",
 "TaxonKey is Mammalia"
 ]
}

 The dataset includes 42044 records from 86 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009951-251025141854904/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/13569499
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.pdy5qy
title: Occurrence Download

description: A dataset containing 50 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cypripedium bardolphianum"
 ]
}

 The dataset includes 50 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009952-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.30501302
title: TEST

description: WWWWE
DOI: 10.6084/m9.figshare.30501302.v2
title: TEST

description: WWWWE
DOI: 10.6084/m9.figshare.30501302.v1
title: TEST

description: WWWWE
DOI: 10.5281/zenodo.15971159
title: [Supplemental Material] Beyond the Leaderboard: Examining Benchmark Quality in Code Generation

description: Zenodo repository for the paper "Beyond the Leaderboard: Examining Benchmark Quality in Code Generation".This archive contains scripts, benchmarks, analysis, and supplemental material examined in this study.A more user-friendly interface for this repository is available at the following link: https://github.com/Devy99/code-benchmark-qualityPlease refer to the README file (either in the link above or in the 'script' directory) for a better understanding of the provided materials.
DOI: 10.5281/zenodo.16422001
title: [Supplemental Material] Beyond the Leaderboard: Examining Benchmark Quality in Code Generation

description: Zenodo repository for the paper "Beyond the Leaderboard: Examining Benchmark Quality in Code Generation".This archive contains scripts, benchmarks, analysis, and supplemental material examined in this study.A more user-friendly interface for this repository is available at the following link: https://github.com/Devy99/code-benchmark-qualityPlease refer to the README file (either in the link above or in the 'script' directory) for a better understanding of the provided materials.
DOI: 10.3929/ethz-b-000619987
title: Dataset for "Continuous color tuning of single-fluorophore emission via polymerization-mediated through-space charge transfer"
DOI: 10.5281/zenodo.15620594
title: CodeEval: A pedagogical approach for targeted evaluation of code-trained Large Language Models

description: Categories has been modified to 21 from 26.
DOI: 10.5281/zenodo.17295280
title: Supplementary online material for Late Devonian apex predators: Anatomy and ecology of Ctenacanthus concinnus from the Moroccan Anti-Atlas

description: This repository contains the supplementary online material associated to the publication Late Devonian apex predators: Anatomy and ecology of Ctenacanthus concinnus from the Moroccan Anti-Atlas

Folder 1: tiff image stacks of the CT-scans of PIMUZ A/I 5743 in 12 parts. The image stacks were downsized to 8bit images and cropped for easier handling and brightness and contrast were adjusted using Fiji (ImageJ).

Folder 2: 3d reconstructions from segmentations made in mimics. PLY files are given for the segmentations of each image stack for endocast, branchials and neurocranium parts. Two STL files are included which 1) combine all segmentations that include the branchials and neurocraniusm and 2) combine all segmentations that include the endocast.
DOI: 10.15468/dl.dmq9wu
title: Occurrence Download

description: A dataset containing 826 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Phyllostachys edulis"
 ]
}

 The dataset includes 826 records from 73 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009954-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15971158
title: [Supplemental Material] Beyond the Leaderboard: Examining Benchmark Quality in Code Generation

description: Zenodo repository for the paper "Beyond the Leaderboard: Examining Benchmark Quality in Code Generation".This archive contains scripts, benchmarks, analysis, and supplemental material examined in this study.A more user-friendly interface for this repository is available at the following link: https://github.com/Devy99/code-benchmark-qualityPlease refer to the README file (either in the link above or in the 'script' directory) for a better understanding of the provided materials.
DOI: 10.5281/zenodo.16145197
title: [Supplemental Material] Beyond the Leaderboard: Examining Benchmark Quality in Code Generation

description: Zenodo repository for the paper "Beyond the Leaderboard: Examining Benchmark Quality in Code Generation".This archive contains scripts, benchmarks, analysis, and supplemental material examined in this study.A more user-friendly interface for this repository is available at the following link: https://github.com/Devy99/code-benchmark-qualityPlease refer to the README file (either in the link above or in the 'script' directory) for a better understanding of the provided materials.
DOI: 10.25574/28699
title: Chandra X-ray Observatory ObsId 28699

description: A high resolution view of a nearby group as it falls into the core of the Shapley supercluster
DOI: 10.25574/29229
title: Chandra X-ray Observatory ObsId 29229

description: Stellar activity with TESS and Chandra
DOI: 10.6084/m9.figshare.30355804
title: The colour of unaffordable household water: racial/ethnic inequalities in bills and shutoffs across local water districts in nine urban areas of the United States

description: The rapidly rising cost of household water bills is an increasing financial burden and health concern for low-income households in the United States, a nation that offers neither a constitutional right nor an enforceable national statute that ensures peoples’ access to water. Local water districts use their own discretion to develop, implement, and enforce distinct water rate structures, assistance programmes, and non-payment penalties. This study is a statistical analysis of water unaffordability and water shutoffs by racial/ethnic composition of communities in water districts across nine urban areas. We collected cross-sectional survey data from a multistage, stratified non-proportional quota sample of 6,938 adults who are responsible for paying their own household’s water bill. Multivariable logistic regression analyses showed that racial/ethnic inequalities in water affordability and shutoff, previously documented in location-specific studies, are widespread urban problems across the U.S. Communities with greater shares of racial/ethnic minorities were more likely to experience unaffordable water bills compared to predominantly non-Hispanic white communities after controlling for respondents’ household income, age, conservation efforts, and urban area. Communities with greater shares of racial/ethnic minorities had much higher odds of water shutoffs and this association was only partially explained by household water unaffordability. Improvement of local water infrastructure to reduce utilities’ costs for delivering water services and providing more financial assistance for low-income households, which are disproportionately in communities of colour, are serious – and related – problems. We offer recommendations for how municipalities may improve practices and reduce racial/ethnic inequalities in access to affordable water. Read the transcript
DOI: 10.6084/m9.figshare.30355804.v1
title: The colour of unaffordable household water: racial/ethnic inequalities in bills and shutoffs across local water districts in nine urban areas of the United States

description: The rapidly rising cost of household water bills is an increasing financial burden and health concern for low-income households in the United States, a nation that offers neither a constitutional right nor an enforceable national statute that ensures peoples’ access to water. Local water districts use their own discretion to develop, implement, and enforce distinct water rate structures, assistance programmes, and non-payment penalties. This study is a statistical analysis of water unaffordability and water shutoffs by racial/ethnic composition of communities in water districts across nine urban areas. We collected cross-sectional survey data from a multistage, stratified non-proportional quota sample of 6,938 adults who are responsible for paying their own household’s water bill. Multivariable logistic regression analyses showed that racial/ethnic inequalities in water affordability and shutoff, previously documented in location-specific studies, are widespread urban problems across the U.S. Communities with greater shares of racial/ethnic minorities were more likely to experience unaffordable water bills compared to predominantly non-Hispanic white communities after controlling for respondents’ household income, age, conservation efforts, and urban area. Communities with greater shares of racial/ethnic minorities had much higher odds of water shutoffs and this association was only partially explained by household water unaffordability. Improvement of local water infrastructure to reduce utilities’ costs for delivering water services and providing more financial assistance for low-income households, which are disproportionately in communities of colour, are serious – and related – problems. We offer recommendations for how municipalities may improve practices and reduce racial/ethnic inequalities in access to affordable water. Read the transcript
DOI: 10.5281/zenodo.17494830
title: mc://ldg/rqcd/qcdML/ens_004_selected

description: Selected configurations from a quenched lattice QCD ensemble for machine learning purposes.

 

markovChain:  markovChainURI: "ldg/rqcd/qcdML/ens_004_selected"  management:    collaboration: "rqcd"    projectName: "qcdML"    archiveHistory:      - add:        participant:          orcid: "0009-0001-9453-4227"          name: "Daniel Knüttel"          institution: "Regensburg University"        date: "2024-01-14T12:00:00+01:00"  physics:    size:      x: 16      y: 16      z: 16      t: 32    action:      gluon:        plaquetteGluonAction:          beta: 6.0  algorithm:    name: "HMC"    reference: "https://doi.org/10.1016/0370-2693(87)91197-X"    parameters:      parameter:        name: "integrator"        value: "OMF4"        annotation: "Omelyan, Mryglod, Fold symplectic 4th order integrator"      parameter:        name: "integrator_steps"        value: 20        annotation: "Number of steps to integrate from 0 to tau"      parameter:        name: "tau"        value: 2.0        annotation: "HMC trajectory length"
DOI: 10.5281/zenodo.17494829
title: mc://ldg/rqcd/qcdML/ens_004_selected

description: Selected configurations from a quenched lattice QCD ensemble for machine learning purposes.

 

markovChain:  markovChainURI: "ldg/rqcd/qcdML/ens_004_selected"  management:    collaboration: "rqcd"    projectName: "qcdML"    archiveHistory:      - add:        participant:          orcid: "0009-0001-9453-4227"          name: "Daniel Knüttel"          institution: "Regensburg University"        date: "2024-01-14T12:00:00+01:00"  physics:    size:      x: 16      y: 16      z: 16      t: 32    action:      gluon:        plaquetteGluonAction:          beta: 6.0  algorithm:    name: "HMC"    reference: "https://doi.org/10.1016/0370-2693(87)91197-X"    parameters:      parameter:        name: "integrator"        value: "OMF4"        annotation: "Omelyan, Mryglod, Fold symplectic 4th order integrator"      parameter:        name: "integrator_steps"        value: 20        annotation: "Number of steps to integrate from 0 to tau"      parameter:        name: "tau"        value: 2.0        annotation: "HMC trajectory length"
DOI: 10.17632/d97fv2798m
title: Dataset of Asian Face Ratings from Chinese and Asian American Perceivers

description: Facial recognition plays a large role social categorization; however, little work has examined how contact within a racial group shapes these perceptions amongst Han Chinese (N = 190) and Asian American (N = 201) participants. The present study asked both Chinese and Asian American participants to rate the prototypicality of Asian faces in the Chicago Face Database to study how within-race participant variation and contact affects perception of Asian faces. Perceivers rated each Asian face on a 7-point scale of Asian prototypicality among other ratings (e.g., gender, attractiveness, broad racial categorization). Linear mixed effects logistic regression showed both Chinese and Asian Americans perceive East Asian faces to be significantly more prototypically Asian compared to all other Asian ethnicity categories. In addition, across both participant groups, Central Asian faces and South Asian faces were perceived as more atypical. These findings align with prior work suggesting that East Asian identity is considered the most representative “Asian” category even amongst Asian perceivers regardless of their regional background.