Find research datasets worth reusing

restrictedIPD-UNDECIDEDFeb 2026View details →

Efficacy of Strategies Involving Self-sampling to Reach Women Not Participating in Regular Cervical Cancer Screening

ClinicalTrials.gov study NCT05243888. IPD Sharing: Not stated. Countries: 1. Publications: 0.

controlledIPD-YESFeb 2026View details →

Validation of Laboratory Techniques, Strategies, and Types of Samples for Epidemiological Control in the Covid-19 Pandemic

ClinicalTrials.gov study NCT04581083. IPD Sharing: YES. Countries: 1. Publications: 0.

closedIPD-NOFeb 2026View details →

Evaluation of Three Strategies Based on Vaginal Self-sampling Kit Send to Home of Unscreened Women for Cervical Cancer

ClinicalTrials.gov study NCT03856684. IPD Sharing: NO. Countries: 1. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →

Sampling of Human Microbiota in Order to Test, on a Mouse Model, Individualized Intervention Strategies During Aging

ClinicalTrials.gov study NCT04753580. IPD Sharing: Not stated. Countries: 1. Publications: 0.

controlledIPD-YESFeb 2026View details →

Strategies for Reducing Sperm DNA Fragmentation in ICSI Semen Samples: a Prospective Randomized Controlled Trial

ClinicalTrials.gov study NCT04496232. IPD Sharing: YES. Countries: 1. Publications: 0.

geo24/100

CASB: A concanavalin A-based sample barcoding strategy for single-cell sequencing [snATAC-seq]

GEO Series GSE165048. Homo sapiens. 192 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.

openGEO-OpenMar 2021View details →

dryad24/100

Data from: Diversity in Müllerian mimicry: the optimal predator sampling strategy explains both local and regional polymorphism in prey

Open the record for dataset details and reuse information.

publicNov 2015View details →

geo24/100

CASB: A concanavalin A-based sample barcoding strategy for single-cell sequencing [scRNA-seq]

GEO Series GSE165047. Canis lupus familiaris; Drosophila melanogaster; Rattus norvegicus; Chlorocebus sabaeus; Homo sapiens; Cricetulus griseus; Mus musculus. 2 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenMar 2021View details →

geo20/100

Translational validation of personalized treatment strategy based on genetic characteristics of glioblastoma [surgical samples]

GEO Series GSE58399. Homo sapiens. 105 samples. Type: Expression profiling by array.

openGEO-OpenJun 2014View details →

zenodo20/100

ABS richt model waste characterization for different sampling strategies - NMR data

The purpose of this analysis is the development of an efficient sampling protocol for plastic waste streams.   A model waste from different polymers was formulated, rich in ABS and containing PS, PP and PE in smaller proportions. Additionally, one bromine containing flame retardant is added to a final concentration of  either 500ppm or 50ppm. Different sampling approaches were followed including extrusion and/or cryogenic grinding as a homogenization step. Each approach was assessed via various analytical techniques as to homogenization efficiency.   This dataset contains raw NMR data of the model waste from the different sampling approaches. The content is: <ul> <li> One Excel file containing NMR data of the model waste, wherein the approach was based on extrusion and measurement protocol </li> <li> One Excel file containing NMR data of the model waste, wherein the approach was based on cryogenic grinding and measurement protocol </li> <li> One Readme file containing further information about the methodology and nomenclature  </li> </ul> This dataset was generated in the framework of PRecycling Horizon Europe project (101058670)

restrictedNov 2020View details →

Dataset related to article: "Are Strategies Favoring Pattern Matching a Viable Way to Improve Complexity Estimation Based on Sample Entropy?"

This record contains data related to article "Are Strategies Favoring Pattern Matching a Viable Way to Improve Complexity Estimation Based on Sample Entropy?" It has been suggested that a viable strategy to improve complexity estimation based on the assessment of pattern similarity is to increase the pattern matching rate without enlarging the series length. We tested this hypothesis over short simulations of nonlinear deterministic and linear stochastic dynamics affected by various noise amounts. Several transformations featuring a different ability to increase the pattern matching rate were tested and compared to the usual strategy adopted in sample entropy (SampEn) computation. The approaches were applied to evaluate the complexity of short-term cardiac and vascular controls from the beat-to-beat variability of heart period (HP) and systolic arterial pressure (SAP) in 12 Parkinson disease patients and 12 age- and gender-matched healthy subjects at supine resting and during head-up tilt. Over simulations, the strategies estimated a larger complexity over nonlinear deterministic signals and a greater regularity over linear stochastic series or deterministic dynamics importantly contaminated by noise. Over short HP and SAP series the techniques did not produce any practical advantage, with an unvaried ability to discriminate groups and experimental conditions compared to the traditional SampEn. Procedures designed to artificially increase the number of matches are of no methodological and practical value when applied to assess complexity indexes.

restrictedcc-by-4.0Jul 2024View details →

PP-recyclates characterization after different sampling and recycling strategies - Tensile tests data

The purpose of this analysis is to evaluate the efficiency of different recycling procedures and the quality of the resulting recyclates. This dataset contains tensile testis raw data of PP-recyclates from different recycling strategies. The content is: <ul> <li>One Excel file containing rensile testing data of PP recyclates after scCO2 recycling, reference samples and measurement protocol</li> <li>One Excel file containing tensile testing data of PP recyclates after solvent-based recycling, reference samples and measurement protocol</li> <li>One Excel file containing tensile testing data of PP recyclates after upcycling, reference samples and measurement protocol</li> <li>One Readme file containing further information about the methodology and nomenclature</li> </ul> This dataset was generated in the framework of PRecycling Horizon Europe project (101058670)

restrictedSep 2024View details →

PP-recyclate characterization after different sampling and recycling strategies-MFR

PP-recyclates characterization after different sampling and recycling strategies – MFR data Authors: A. Martínez García, A. Ibáñez García, M.A. León Cabezas Innovative Materials and Manufacturing Area, AIJU, Avda. de la Industria, 23 03440 Ibi (Alicante), Spain  Contact Information email: sunymartinez@aiju.es tel: +34 965554475 This dataset contains raw MFR data of PP-recyclates from different recycling strategies following different sampling strategies. The purpose of this analysis is to evaluate the efficiency of the different recycling strategies and the quality of the resulting recyclates in combination with other analysis techniques. Recycling strategies followed:  1) Purification of PP-rich post-consumer waste using supercritical CO2 (scCO2). scCO2 does not alter particle size or shape.  The waste material was subjected to scCO2 treatment in two ways.  The first method involved directly treating the flake material, which was subsequently ground. These samples are labelled CO-PP03RE-SC01GR.  The second approach aimed to investigate whether cleaning efficiency depends on particle size.  The flakes were ground first, and scCO2 was then applied to the particles, resulting in a sample identified as CO-PP03RE-GRSC01.  Homogenous powder was obtained in both cases and five samples were analysed following the MFR.   For the sample preparation, the flakes of the waste were ground using a ring sieve mill (ZM 300, Retsch, Haan, Germany).  Data from this approach are given in: PP recyclates after sc-CO2 recycling-MFR.xlsx   2) Purification of PP-rich post-consumer waste using solvent-based CreaSolv® process, developed by Fraunhofer IVV.  The solvent-based recycling process results in more homogeneous recyclates by dissolving the entire sample, and selectively precipitating the desired purified polymer, with the potential of removal of unwanted components.  The waste material was subjected to solvent-based recycling treatment in two ways.  The first method includes additional purification with a solid-liquid separation step, referred to as CO-PP03RE-CS+SL.  The second method is without this additional purification, labeled as CO-PP03RE-CS-SL.  Homogenous powder was obtained through solvent-based recycling process and five samples were analysed directly following the parallel plate rheology protocol.  Data from this approach are given in: PP recyclates after solvent-based recycling-MFR.xlsx  3) Purification of PP-rich post-consumer waste after upcycling and compounded by mechanical reprocessing. The waste material was compounded after the reformulation with additives to enhance specific properties. The material was subjected to compounding by means of remelting-restabilization, labeled as CO-PP03RE-CO. Homogenous pellets were obtained through compounding recycling process. Data from this approach are given in: PP recyclates after upcycling-MFR.xlsx Reference samples:  PP-rich waste flakes were ground using a ring sieve mill to a particles size below 750 µm. Five samples were analyzed.  The nomenclature followed is presented in the Table below: Recyclate Nomenclature                       Description CO-PP03RE-GR                       PP Recyclate after cryogenic grinding (reference material) CO-PP03RE-CO (Brug)            PP Recyclate after compounding with Bruggolen  CO-PP03RE-GRSC01               PP Recyclate after cryogenic grinding and scCO2 CO-PP03RE-SC01GR               PP Recyclate after scCO2 and cryogenic grinding CO-PP03RE-CR-SL                  PP Recyclate after Creasolv without solid-liquid separation CO-PP03RE-CR+SL                 PP Recyclate after Creasolv with solid-liquid separation

restrictedSep 2024View details →

PP recyclates characterization after different samplings and recycling strategies-TGA

PP-recyclates characterization after different sampling and recycling strategies – TGA data Authors: A. Martínez García, A. Ibáñez García, M.A. León Cabezas Innovative Materials and Manufacturing Area, AIJU, Avda. de la Industria, 23 03440 Ibi (Alicante), Spain  Contact Information email: sunymartinez@aiju.es tel: +34 965554475 This dataset contains raw TGA data of PP-recyclates from different recycling strategies following different sampling strategies. The purpose of this analysis is to evaluate the efficiency of the different recycling strategies and the quality of the resulting recyclates in combination with other analysis techniques. Recycling strategies followed:  1) Purification of PP-rich post-consumer waste using supercritical CO2 (scCO2). scCO2 does not alter particle size or shape.  The waste material was subjected to scCO2 treatment in two ways.  The first method involved directly treating the flake material, which was subsequently ground. These samples are labelled CO-PP03RE-SC01GR.  The second approach aimed to investigate whether cleaning efficiency depends on particle size.  The flakes were ground first, and scCO2 was then applied to the particles, resulting in a sample identified as CO-PP03RE-GRSC01.  Homogenous powder was obtained in both cases and five samples were analysed following the DSC   For the sample preparation, the flakes of the waste were ground using a ring sieve mill (ZM 300, Retsch, Haan, Germany).  Data from this approach are given in: PP recyclates after sc-CO2 recycling-TGA.xlsx   2) Purification of PP-rich post-consumer waste using solvent-based CreaSolv® process, developed by Fraunhofer IVV.  The solvent-based recycling process results in more homogeneous recyclates by dissolving the entire sample, and selectively precipitating the desired purified polymer, with the potential of removal of unwanted components.  The waste material was subjected to solvent-based recycling treatment in two ways.  The first method includes additional purification with a solid-liquid separation step, referred to as CO-PP03RE-CS+SL.  The second method is without this additional purification, labelled as CO-PP03RE-CS-SL.  Homogeneous powder was obtained through solvent-based recycling process and five samples were analysed directly following the parallel plate rheology protocol.  Data from this approach are given in: PP recyclates after solvent-based recycling-TGA.xlsx  3) Purification of PP-rich post-consumer waste after upcycling and compounded by mechanical reprocessing. The waste material was compounded after the reformulation with additives to enhance specific properties. The material was subjected to compounding by means of remelting-restabilization, labelled as CO-PP03RE-CO. Homogenous pellets were obtained through compounding recycling process. Data from this approach are given in: PP recyclates after upcycling-TGA.xlsx Reference samples:  PP-rich waste flakes were ground using a ring sieve mill to a particles size below 750 µm. Five samples were analyzed.  The nomenclature followed is presented in the Table below: Recyclate Nomenclature                       Description CO-PP03RE-GR                       PP Recyclate after cryogenic grinding (reference material) CO-PP03RE-CO (Brug)            PP Recyclate after compounding with Bruggolen  CO-PP03RE-GRSC01               PP Recyclate after cryogenic grinding and scCO2 CO-PP03RE-SC01GR               PP Recyclate after scCO2 and cryogenic grinding CO-PP03RE-CR-SL                  PP Recyclate after Creasolv without solid-liquid separation CO-PP03RE-CR+SL                 PP Recyclate after Creasolv with solid-liquid separation

restrictedSep 2024View details →

PP recyclates characterization after different samplings and recycling strategies-DSC

PP-recyclates characterization after different sampling and recycling strategies – DSC data Authors: A. Martínez García, A. Ibáñez García, M.A. León Cabezas Innovative Materials and Manufacturing Area, AIJU, Avda. de la Industria, 23 03440 Ibi (Alicante), Spain  Contact Information email: sunymartinez@aiju.es tel: +34 965554475 This dataset contains raw DSC data of PP-recyclates from different recycling strategies following different sampling strategies. The purpose of this analysis is to evaluate the efficiency of the different recycling strategies and the quality of the resulting recyclates in combination with other analysis techniques. Recycling strategies followed:  1) Purification of PP-rich post-consumer waste using supercritical CO2 (scCO2). scCO2 does not alter particle size or shape.  The waste material was subjected to scCO2 treatment in two ways.  The first method involved directly treating the flake material, which was subsequently ground. These samples are labelled CO-PP03RE-SC01GR.  The second approach aimed to investigate whether cleaning efficiency depends on particle size.  The flakes were ground first, and scCO2 was then applied to the particles, resulting in a sample identified as CO-PP03RE-GRSC01.  Homogenous powder was obtained in both cases and five samples were analysed following the DSC   For the sample preparation, the flakes of the waste were ground using a ring sieve mill (ZM 300, Retsch, Haan, Germany).  Data from this approach are given in: PP recyclates after sc-CO2 recycling-DSC.xlsx   2) Purification of PP-rich post-consumer waste using solvent-based CreaSolv® process, developed by Fraunhofer IVV.  The solvent-based recycling process results in more homogeneous recyclates by dissolving the entire sample, and selectively precipitating the desired purified polymer, with the potential of removal of unwanted components.  The waste material was subjected to solvent-based recycling treatment in two ways.  The first method includes additional purification with a solid-liquid separation step, referred to as CO-PP03RE-CS+SL.  The second method is without this additional purification, labelled as CO-PP03RE-CS-SL.  Homogeneous powder was obtained through solvent-based recycling process and five samples were analysed directly following the parallel plate rheology protocol.  Data from this approach are given in: PP recyclates after solvent-based recycling-DSC.xlsx  3) Purification of PP-rich post-consumer waste after upcycling and compounded by mechanical reprocessing. The waste material was compounded after the reformulation with additives to enhance specific properties. The material was subjected to compounding by means of remelting-restabilization, labelled as CO-PP03RE-CO. Homogenous pellets were obtained through compounding recycling process. Data from this approach are given in: PP recyclates after upcycling-DSC.xlsx Reference samples:  PP-rich waste flakes were ground using a ring sieve mill to a particles size below 750 µm. Five samples were analyzed.  The nomenclature followed is presented in the Table below: Recyclate Nomenclature                       Description CO-PP03RE-GR                   PP Recyclate after cryogenic grinding (reference material) CO-PP03RE-CO (Brug)            PP Recyclate after compounding with Bruggolen  CO-PP03RE-GRSC01               PP Recyclate after cryogenic grinding and scCO2 CO-PP03RE-SC01GR               PP Recyclate after scCO2 and cryogenic grinding CO-PP03RE-CR-SL                   PP Recyclate after Creasolv without solid-liquid separation CO-PP03RE-CR+SL                   PP Recyclate after Creasolv with solid-liquid separation

ABS-rich model waste characterization for different sampling strategies – ATR FTIR data

The purpose of this analysis is the development of an efficient sampling protocol for plastic waste streams.   A model waste from different polymers was formulated, rich in ABS and containing PS, PP and PE in smaller proportions. Additionally, one bromine containing flame retardant is added to a final concentration of  either 500ppm or 50ppm. Different sampling approaches were followed including extrusion and/or cryogenic grinding as a homogenization step. Each approach was assessed via various analytical techniques as to homogenization efficiency.   This dataset contains raw ATR-FTIR data of the model waste from the different sampling approaches. The content is: <ul> <li>One Excel file containing ATR-FTIR data of the model waste, wherein the approach was based on extrusion and measurement protocol</li> <li>One Excel file containing ATR-FTIR data of the model waste, wherein the approach was based on cryogenic grinding and measurement protocol</li> <li>One Readme file containing further information about the methodology and nomenclature </li> </ul> This dataset was generated in the framework of PRecycling Horizon Europe project (101058670)

ABS-rich model waste characterisation for different sampling strategies – MFR data

The purpose of this analysis is the development of an efficient sampling protocol for plastic waste streams.   A model waste from different polymers was formulated, rich in ABS and containing PS, PP and PE in smaller proportions. Additionally, one bromine containing flame retardant is added to a final concentration of either 500ppm or 50ppm. Different sampling approaches were followed including extrusion and/or cryogenic grinding as a homogenization step. Each approach was assessed via various analytical techniques as to homogenization efficiency.   This dataset contains raw MFR data of the model waste from the different sampling approaches. The content is: ·One Excel file containing MFR data of the model waste, wherein the approach was based on extrusion and measurement protocol ·One Excel file containing MFR data of the model waste, wherein the approach was based on cryogenic grinding and measurement protocol ·One Word file containing further information about the methodology and nomenclature  This dataset was generated in the framework of PRecycling Horizon Europe project (101058670)

ABS-rich model waste characterisation for different sampling strategies – TGA data

The purpose of this analysis is the development of an efficient sampling protocol for plastic waste streams.   A model waste from different polymers was formulated, rich in ABS and containing PS, PP and PE in smaller proportions. Additionally, one bromine containing flame retardant is added to a final concentration of  either 500ppm or 50ppm. Different sampling approaches were followed including extrusion and/or cryogenic grinding as a homogenization step. Each approach was assessed via various analytical techniques as to homogenization efficiency.   This dataset contains raw TGA data of the model waste from the different sampling approaches. The content is: ·One Excel file containing TGA data of the model waste, wherein the approach was based on extrusion and measurement protocol ·One Excel file containing TGA data of the model waste, wherein the approach was based on cryogenic grinding and measurement protocol ·One Word file containing further information about the methodology and nomenclature  This dataset was generated in the framework of PRecycling Horizon Europe project (101058670)

ABS-rich model waste characterisation for different sampling strategies – DSC data

The purpose of this analysis is the development of an efficient sampling protocol for plastic waste streams.   A model waste from different polymers was formulated, rich in ABS and containing PS, PP and PE in smaller proportions. Additionally, one bromine containing flame retardant is added to a final concentration of  either 500ppm or 50ppm. Different sampling approaches were followed including extrusion and/or cryogenic grinding as a homogenization step. Each approach was assessed via various analytical techniques as to homogenization efficiency.   This dataset contains raw DSC data of the model waste from the different sampling approaches. The content is: ·One Excel file containing DSC data of the model waste, wherein the approach was based on extrusion and measurement protocol ·One Excel file containing DSC data of the model waste, wherein the approach was based on cryogenic grinding and measurement protocol ·One Word file containing further information about the methodology and nomenclature  This dataset was generated in the framework of PRecycling Horizon European project (101058670)