cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18432325
title: Table 7 in Systematic revision of the Potamotrygon motoro (Müller & Henle, 1841) species complex in the Paraná-Paraguay basin, with description of two new ocellated species (Chondrichthyes: Myliobatiformes: Potamotrygonidae)

description: Table 7. Measurements of Potamotyrgon histrix. Three specimens were examined for this study: (A) MS 0415, (B) MS 0442, and (C) MS 0443. Mean (x) and Standard Deviation (SD) are expressed as proportions of disc width (% DW), and range is expressed in millimeters (mm) and proportions of disc width (% DW). Clasper measurements were taken only from adult specimens.
ABCRangexSDmm%DWmm%DWmm%DWmm%DW%DW%DWDisc width278217202202 - 278Disc length295106.1226104.1215106.4215 - 295104.1 - 106.4105.61.2Total length458164.7367169.1330163.4330 - 458163.4 - 169.7165.73.0Interorbital distance5218.74420.33818.838 - 5218.7 - 20.319.30.9Interspiracular distance5620.14319.84321.343 - 5619.8 - 21.320.40.8Eye diameter82.983.784.0...2.9 - 4.03.50.6Spriracular length165.8125.573.57 - 163.5 - 5.84.91.3Prenasal distance4014.42310.62311.423 - 4010.6 - 14.412.12.0Preoral distance5921.24118.94019.840 - 5918.9 - 21.220.01.2Internasal distance2910.4188.32110.418 - 298.3 - 10.49.71.2Mouth width196.8198.8199.4...6.8 - 9.48.31.3Space between 1st branchial slits7527.05525.35627.755 - 7525.3 - 27.726.71.2Space between 5th branchial slits5921.24018.44220.840 - 5918.4 - 21.220.11.5Branchial basket length5419.44018.43919.339 - 5418.4 - 19.419.10.5Length ant. margin of pelvic fin6222.34922.63215.832 - 6215.8 - 22.620.23.8Pelvic fins width13749.312457.111255.4112 - 13749.3 - 57.154.04.1Length ext. margin of clasper----3215.8--15.8-Length int. margin of clasper----5024.8--24.8-Cloaca to tip tail22179.517379.714672.3146 - 22172.3 - 79.777.24.2Tail width between pectoral insertions3010.82411.12210.922 - 3010.8 - 11.110.90.1Snout to cloaca23584.518484.817988.6179 - 23584.5 - 88.686.02.3Distance between pectoral axil and posterior margin of pelvic fin3111.2219.72612.921 - 319.7 - 12.911.21.6Serrated-spine length7326.35123.55225.751 - 7323.5 - 26.325.21.5Serrated-spine width51.852.342.04 - 51.8 - 2.32.00.3Cloaca to serrated-spine11641.79242.48240.682 - 11640.6 - 42.441.60.9
description: Published as part of Loboda, Thiago Silva & Carvalho, Marcelo Rodrigues de, 2013, Systematic revision of the Potamotrygon motoro (Müller & Henle, 1841) species complex in the Paraná-Paraguay basin, with description of two new ocellated species (Chondrichthyes: Myliobatiformes: Potamotrygonidae), pp. 735 in Neotropical Ichthyology 11 (4) on page 735, DOI: 10.1590/S1679-62252013000400001, http://zenodo.org/record/13258801
DOI: 10.17026/ls/0okuit
title: Gezondheidsenquête 2022 - GECON 2022

description: Sinds 1981 wordt door het CBS een continue Gezondheidsenquête gehouden. Van 1997 tot en met 2009 maakte de enquête deel uit van het Permanent Onderzoek Leefsituatie (POLS), als de module Gezondheid. Met ingang van 2010 wordt de Gezondheidsenquête weer als op zichzelf staand onderzoek uitgevoerd.

Het onderzoek geeft een zo volledig mogelijk overzicht van ontwikkelingen in de gezondheid, medische contacten, leefstijl en preventief gedrag van de bevolking in Nederland. De doelpopulatie bestaat voor het merendeel van de onderwerpen uit personen van 0 jaar en ouder in particuliere huishoudens in Nederland. Voor sommige onderwerpen geldt een aparte leeftijdsgrens.

De Gezondheidsenquête begint met een basisvragenlijst. In de basisvragenlijst wordt gevraagd naar achtergrondkenmerken zoals de samenstelling van het huishouden, het hebben van (en/of zoeken naar) betaald werk, beroep, bedrijf en opleidingsniveau. Na de basisvragenlijst volgt de eigenlijke gezondheidsenquête. Daarin wordt gevraagd naar de diverse aspecten van gezondheid, aandoeningen, beperkingen, contacten met zorgverleners, leefstijl en preventief gezondheidsgedrag. Een respondent merkt geen verschil tussen de basisvragenlijst en de gezondheidsvragenlijst. Hij of zij krijgt beide delen als één geheel ter beantwoording voorgelegd.

Er wordt vanaf 2010 gebruik gemaakt van mixed-mode waarneming en het onderzoek bestaat uit twee deelonderzoeken. De steekproefpersonen ontvangen een schriftelijk verzoek om het eerste deel van de vragenlijst via internet in te vullen. Degenen die niet aan dit verzoek voldoen worden benaderd voor een telefonisch interview (indien telefoonnummer bekend) of voor een face-to-face interview (indien geen telefoonnummer bekend).

Aan het eind van deelonderzoek 1 wordt respondenten van 12 jaar of ouder gevraagd deel te nemen aan deelonderzoek 2. Het tweede deelonderzoek kan via internet of op papier ingevuld worden. Omdat er sprake is van responsuitval tussen deelonderzoek 1 en 2, is er een aparte weging gedaan voor beide deelonderzoeken, resulterend in aparte weegfactoren.

Jaarlijks wordt een bruto steekproef van ruim 15 duizend personen benaderd. Met een respons van 60-65 procent levert dit een netto steekproef op van ongeveer 9500 personen. Steekproef van personen, getrokken uit de Basisregistratie Personen (BRP). De steekproef wordt verspreid over de maanden van het jaar.

De Gezondheidsenquête wordt vanaf 2014 in het volgende “mixed-mode” design uitgevoerd. Eerst worden steekproefpersonen benaderd om via internet deel te nemen (CAWI – Computer Assisted Web Interviewing). Non-respondenten worden her benaderd voor een ‘face-to-face’ interview (CAPI – Computer Assisted Personal Interviewing). Omdat enkele vragenblokken nogal persoonlijk van aard zijn, kunnen CAPI-respondenten die vragen zelf invullen (CASI – Computer Assisted Self Interviewing).

Dit DANSGECON2022 bestand wijkt af van het microdatabestand Gezondheidsenquête 2022 dat onder bepaalde voorwaarden voor statistisch en wetenschappelijk onderzoek toegankelijk is. Voor nadere informatie microdata@cbs.nl.
DOI: 10.17632/2yzxdgvb85.6
title: Maltol Induces Diabetic Fragility Fractures by Disrupting the Balance of Bone Remodeling

description: All data generated or analyzed during "Maltol Induces Diabetic Fragility Fractures by Disrupting the Balance of Bone Remodeling" are included in the source data file.
DOI: 10.5281/zenodo.18432279
title: TORCH: Characterizing Invalid Route Filtering via Tunnelled Observation
DOI: 10.5281/zenodo.18432280
title: TORCH: Characterizing Invalid Route Filtering via Tunnelled Observation
DOI: 10.17632/tvhygttnwz
title: Channel Weighted Integration for Biological 2D Structure Extraction

description: Structures of biological objects, such as cells and tissues, can be extracted from a stack of 2D images to visualize the 3D data set. However, the extraction results with the exiting algorithms may suffer from various problems, such as spatial discontinuities, artifact interference, and structural loss. In this paper, a channel weighted integration method is proposed to process the images, so as to improve the quality of the extraction result. The method has been tested with both real and synthetic stacks of biological images, and the existing algorithms are employed to project the processed images, respectively. The results demonstrate that biological structures are highlighted, and balances image details, and suppresses extraneous signals in non-target areas with effectively the method.
DOI: 10.17632/tvhygttnwz.1
title: Channel Weighted Integration for Biological 2D Structure Extraction

description: Structures of biological objects, such as cells and tissues, can be extracted from a stack of 2D images to visualize the 3D data set. However, the extraction results with the exiting algorithms may suffer from various problems, such as spatial discontinuities, artifact interference, and structural loss. In this paper, a channel weighted integration method is proposed to process the images, so as to improve the quality of the extraction result. The method has been tested with both real and synthetic stacks of biological images, and the existing algorithms are employed to project the processed images, respectively. The results demonstrate that biological structures are highlighted, and balances image details, and suppresses extraneous signals in non-target areas with effectively the method.
DOI: 10.17632/knyvj7845p
title: Multiple warming does not alter the regulation of DOM by soil layers in a subtropical primary forest

description: for Multiple warming does not alter the regulation of DOM by soil layers in a subtropical primary forest
DOI: 10.15468/dl.f7nvk4
title: Occurrence Download

description: A dataset containing 13298 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "TaxonKey is Vespula vulgaris"
 ]
}

 The dataset includes 13298 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002128-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/knyvj7845p.1
title: Multiple warming does not alter the regulation of DOM by soil layers in a subtropical primary forest

description: for Multiple warming does not alter the regulation of DOM by soil layers in a subtropical primary forest
DOI: 10.17632/gcznsk93bn
title: XRD Raw Data for article "Enigmatic presence of rhyzoconcretion in Haliday Island in the Sundarbans, India: Geochemical insight" by Das et al. 2026

description: X-Ray Diffraction patterns for the mineral phases present
DOI: 10.17632/gcznsk93bn.1
title: XRD Raw Data for article "Enigmatic presence of rhyzoconcretion in Haliday Island in the Sundarbans, India: Geochemical insight" by Das et al. 2026

description: X-Ray Diffraction patterns for the mineral phases present
DOI: 10.5517/ccdc.csd.cc222rdb
title: CCDC 1909271: Experimental Crystal Structure Determination

description: Related Article: Christoph Kubis, Matthias König, Benedict N. Leidecker, Detlef Selent, Henning Schröder, Mathias Sawall, Wolfgang Baumann, Anke Spannenberg, Alexander Brächer, Klaus Neymeyr, Robert Franke, Armin Börner|2023|ACS Catalysis|13|5245|doi:10.1021/acscatal.2c06320
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: 10.17632/wzdbyrpzk9
title: Geothermal Assessment Computer Code for Nigeria Geothermal System

description: The files contain python code for geothermal energy assessment and potential for six regions in Nigeria
DOI: 10.17632/wzdbyrpzk9.1
title: Geothermal Assessment Computer Code for Nigeria Geothermal System

description: The files contain python code for geothermal energy assessment and potential for six regions in Nigeria
DOI: 10.17632/v3tc57pxhf
title: FastqOrienter

description: This dataset contains example FASTQ files and the FastqOrienter script used for validation in the associated manuscript submitted to the Journal of Microbiological Methods.
DOI: 10.17632/v3tc57pxhf.1
title: FastqOrienter

description: This dataset contains example FASTQ files and the FastqOrienter script used for validation in the associated manuscript submitted to the Journal of Microbiological Methods.
DOI: 10.5281/zenodo.18414699
title: Gdansk Basin iGDGT OH-GDGT Holocene marine sediment cores

description: This deposit contains downcore isoGDGT (iGDGT) and OH-GDGT data from Holocene marine sediment cores sampled at the top 0–5 cm interval and then at ~10 cm spacing. The dataset includes (i) raw LC–MS integrated peak areas for individual iGDGTs, and (ii) derived semi-quantitative absolute concentrations normalized to the C46 standard and dry sediment mass. Where provided, fractional abundances (0–1) are calculated separately within compound classes using the denominators specified in the accompanying README.

The workbook also includes a README tab and a separate README.txt file that describes column definitions, units, and conventions. Data formatting and metadata fields follow the GDGT reporting/archiving recommendations of Bijl et al. (2025).
DOI: 10.5281/zenodo.18414700
title: Gdansk Basin iGDGT OH-GDGT Holocene marine sediment cores

description: This deposit contains downcore isoGDGT (iGDGT) and OH-GDGT data from Holocene marine sediment cores sampled at the top 0–5 cm interval and then at ~10 cm spacing. The dataset includes (i) raw LC–MS integrated peak areas for individual iGDGTs, and (ii) derived semi-quantitative absolute concentrations normalized to the C46 standard and dry sediment mass. Where provided, fractional abundances (0–1) are calculated separately within compound classes using the denominators specified in the accompanying README.

The workbook also includes a README tab and a separate README.txt file that describes column definitions, units, and conventions. Data formatting and metadata fields follow the GDGT reporting/archiving recommendations of Bijl et al. (2025).
DOI: 10.5281/zenodo.18416245
title: The MERIT dataset: Modelling and efficiently rendering interpretable transcripts - Part 3 of 3

description: [Partition 3/3: rendered samples in Spanish]

This dataset is linked to the MERIT Dataset paper, which introduces the MERIT Dataset, a multimodal, fully labeled dataset of school grade reports. Comprising over 400 labels and 33k samples, the MERIT Dataset is a resource for training models in demanding Visually-rich Document Understanding tasks. It contains multimodal features that link patterns in the textual, visual, and layout domains. The MERIT Dataset also includes biases in a controlled way, making it a valuable tool to benchmark biases induced in Language Models. The paper outlines the dataset’s generation pipeline and highlights its main features and patterns in its different domains. We benchmark the dataset for token classification, showing that it poses a significant challenge even for SOTA models.
DOI: 10.5281/zenodo.18416244
title: The MERIT dataset: Modelling and efficiently rendering interpretable transcripts - Part 3 of 3

description: [Partition 3/3: rendered samples in Spanish]

This dataset is linked to the MERIT Dataset paper, which introduces the MERIT Dataset, a multimodal, fully labeled dataset of school grade reports. Comprising over 400 labels and 33k samples, the MERIT Dataset is a resource for training models in demanding Visually-rich Document Understanding tasks. It contains multimodal features that link patterns in the textual, visual, and layout domains. The MERIT Dataset also includes biases in a controlled way, making it a valuable tool to benchmark biases induced in Language Models. The paper outlines the dataset’s generation pipeline and highlights its main features and patterns in its different domains. We benchmark the dataset for token classification, showing that it poses a significant challenge even for SOTA models.
DOI: 10.5281/zenodo.17623589
title: DeepDWI - Results
DOI: 10.5281/zenodo.17623588
title: DeepDWI - Results
DOI: 10.5281/zenodo.18432039
title: Reproducibility Artifacts for "LAMP: Look-Ahead Mixed-Precision Inference of Large Language Models"

description: This repository contains the code snapshot, conda environment, and raw experimental results for the paper

LAMP: Look-Ahead Mixed-Precision Inference of Large Language Models

Abstract:

Mixed-precision computations are a hallmark of the current stage of AI, driving the progress in large language models towards efficient, locally deployable solutions. This article addresses the floating-point computation of compositionally-rich functions, concentrating on transformer inference. Based on the rounding error analysis of a composition $f(g(\mathrm{x}))$, we provide an adaptive strategy that selects a small subset of components of $g(\mathrm{x})$ to be computed more accurately while all other computations can be carried out with lower accuracy. We then explain how this strategy can be applied to different compositions within a transformer and illustrate its overall effect on transformer inference. We study the effectiveness of this algorithm numerically on GPT-2 models and demonstrate that already very low recomputation rates allow for improvements of up to two orders of magnitude in accuracy.
DOI: 10.5281/zenodo.18432040
title: Reproducibility Artifacts for "LAMP: Look-Ahead Mixed-Precision Inference of Large Language Models"

description: This repository contains the code snapshot, conda environment, and raw experimental results for the paper

LAMP: Look-Ahead Mixed-Precision Inference of Large Language Models

Abstract:

Mixed-precision computations are a hallmark of the current stage of AI, driving the progress in large language models towards efficient, locally deployable solutions. This article addresses the floating-point computation of compositionally-rich functions, concentrating on transformer inference. Based on the rounding error analysis of a composition $f(g(\mathrm{x}))$, we provide an adaptive strategy that selects a small subset of components of $g(\mathrm{x})$ to be computed more accurately while all other computations can be carried out with lower accuracy. We then explain how this strategy can be applied to different compositions within a transformer and illustrate its overall effect on transformer inference. We study the effectiveness of this algorithm numerically on GPT-2 models and demonstrate that already very low recomputation rates allow for improvements of up to two orders of magnitude in accuracy.
DOI: 10.25824/redu/hffkz0
title: Dataset on the characterization and stability of pickering emulsions stabilized by natural particles

description: This dataset presents experimental results from the study of Pickering emulsions stabilized by natural particles, aiming to compare the interfacial and stability behavior of systems stabilized with carnauba wax solid particles, cellulose nanofibers (CNFs), and sodium caseinate. Emulsions were produced using a two-step process combining rotor-stator pre-emulsification and high-pressure microfluidization. The dataset includes measurements of interfacial tension, interfacial rheology, droplet size distribution, microscopy images, and physical stability over 30 days. The results demonstrated that solid wax particles and CNFs significantly reduced interfacial tension and enhanced emulsion stability compared to protein-stabilized systems. Wax-based emulsions showed a monomodal droplet distribution (D3,2 ≈ 1.87 ± 0.09 µm) and superior long-term stability. The findings provide insights into how natural biocompatible particles can effectively replace conventional surfactants, contributing to the design of more stable and sustainable emulsion-based formulations for food, pharmaceutical, and cosmetic applications.
DOI: 10.17632/rrnfpnmbnr
title: Reshaping the Creative Workforce in the Smart Ecosystem

description: The creative workforce has an important role in the sustainability of the digital broadcasting ecosystem. As the primary producers of cultural content, radio personalities have the specifications to drive audience engagement but are currently severely affected by the disruption of platform logic. Reviews from media studies state that the shift from audio-centric to visual centric ecosystems creates infrastructural capture, where broadcasting institutions lose autonomy to global platforms. This research is aimed at ex-ploring how this capture reshapes the professional habitus of broadcasters, transforming them from voice artists into visual content creators under algo-rithmic pressure. This research is urgently needed so that media stakehold-ers can formulate a workforce development strategy for a decent in the era of smart ecosystems. This research uses a critical ethnographic method with technical data collection through participant observation and insider reflec-tion based on 15 years of industry experience.
DOI: 10.17632/rrnfpnmbnr.1
title: Reshaping the Creative Workforce in the Smart Ecosystem

description: The creative workforce has an important role in the sustainability of the digital broadcasting ecosystem. As the primary producers of cultural content, radio personalities have the specifications to drive audience engagement but are currently severely affected by the disruption of platform logic. Reviews from media studies state that the shift from audio-centric to visual centric ecosystems creates infrastructural capture, where broadcasting institutions lose autonomy to global platforms. This research is aimed at ex-ploring how this capture reshapes the professional habitus of broadcasters, transforming them from voice artists into visual content creators under algo-rithmic pressure. This research is urgently needed so that media stakehold-ers can formulate a workforce development strategy for a decent in the era of smart ecosystems. This research uses a critical ethnographic method with technical data collection through participant observation and insider reflec-tion based on 15 years of industry experience.
DOI: 10.17632/tjjn583hb5
title: Imports From China After Antidumping

description: The database was used to investigate whether Brazil's imports from China respond differently to the imposition of anti-dumping (AD) duties than those of other countries regarded as “market economies.” It contains Brazilian import and AD monthly data from 2007 to 2020, as well as covariates (lagged Brazilian industrial output index, exchange rate, and oil prices).
DOI: 10.17632/tjjn583hb5.1
title: Imports From China After Antidumping

description: The database was used to investigate whether Brazil's imports from China respond differently to the imposition of anti-dumping (AD) duties than those of other countries regarded as “market economies.” It contains Brazilian import and AD monthly data from 2007 to 2020, as well as covariates (lagged Brazilian industrial output index, exchange rate, and oil prices).