cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.6469035
title: Snow pit dataset from "Comparison of snowpack structure in gaps and under the canopy in a humid boreal forest"

description: This original dataset contains snow pit measurements collected at Montmorency Forest (47.29°N, 71.17°W) from 22 November, 2018 to 6 June, 2019. The study site is a balsam fir – whit birch stand on a 12° slope of north-east aspect. The dataset is described in the publication “Comparison of snowpack structure in gaps and under the canopy in a humid boreal forest” from Bouchard et al., 2022. In this dataset you can find:


 



	
inside forest gaps:
	

		
26 snow height measurements (26 data points)
		
26 snowpack stratigraphy (380 data points)
		
26 snow temperature profiles (427 data points)
		
26 snow density profiles (803 data points)
		
2 snow specific surface area (SSA) profiles (97 data points)
	
	



 



	
under the canopy:
	

		
26 snow height measurements (26 data points)
		
26 snowpack stratigraphy (227 data points)
		
26 snow temperature profiles (325 data points)
		
26 snow density profiles (623 data points)
		
2 snow SSA profiles (89 data points)
	
	



 


For density measurements, the height value corresponds to the center of the 3-cm thick box cutter. For the SSA, the value is measured optically at the top of the sample. This value is representative of the top 1 cm of the snow sample, as this is the typical e-folding depth of 1310 nm radiation in snow. Grain type codes for the snowpack stratigraphy corresponds to the International Classification for Seasonal Snow (Fierz et al., 2009):


 



	
PP: Precipitation particle
	
DF: Decomposed and Fragmented precipitation particles
	
RG: Rounded Grains
	
FC: Faceted Crystals
	
DH: Depth Hoar
	
MFpc: Melt Forms – rounded polycrystals
	
MFcl: Melt Forms – clustered rounded grains
	
MFcr: Melt Forms – melt-freeze crusts
	
IF: Ice Formations
DOI: 10.6084/m9.figshare.22433848.v2
title: Global carbon isoscapes dataset of C3 plant leaves at 0.05° spatial resolution from 2001 to 2020

description: This dataset provides the carbon isotope maps of C<sub>3</sub> plant leaves based on machine learning algorithms and MODIS satellite remote sensing reflectance, atmospheric carbon, vegetation physiology, and geographic parameters estimated for the period 2001-2020 with a spatial resolution of 0.05 degrees.Fair Data Use Policy:We make this data product available to the research community as we believe that the dissemination of this data set will lead to advancement in science. If you plan to use our data in a manuscript or presentation, we request that you inform us at an early stage of your work. If this data set is essential to your work, or if an important result or finding depends on the global carbon isoscapes data, co-authorship may be appropriate. You must inform us of your analysis and publication plans well in advance of submission of a paper, give us an opportunity to read and intellectually contribute to the manuscript, and, if appropriate, offer co-authorship.Contact: Drs. Xiang Wang (xiangwang_geo@163.com; wangxiang@stu.cdut.edu.cn) and Guo Chen (chenguo17@cdut.edu.cn).
DOI: 10.5281/zenodo.10462309
title: Training and test data for automatic selection of birch pollen in equatorial view suitable for size measurement

description: The dataset contains training and test data for the automatic selection of birch pollen suitable for size measurement. The original images were captured using a light microscope with a 40x objective and a Jenoptic Gryphax Subra microscope camera mounted on a Zeiss 60 C 2/3" 0.63x video adapter. Birch pollen was detected using the Tofsi. The present dataset contains the cropped image regions including birch pollen. For both testing and training, the dataset includes birch pollen images that are suitable for measurement (flat) and those that are not suitable for measurement ('non-flat').
DOI: 10.5281/zenodo.10462310
title: Training and test data for automatic selection of birch pollen in equatorial view suitable for size measurement

description: The dataset contains training and test data for the automatic selection of birch pollen suitable for size measurement. The original images were captured using a light microscope with a 40x objective and a Jenoptic Gryphax Subra microscope camera mounted on a Zeiss 60 C 2/3" 0.63x video adapter. Birch pollen was detected using the Tofsi. The present dataset contains the cropped image regions including birch pollen. For both testing and training, the dataset includes birch pollen images that are suitable for measurement (flat) and those that are not suitable for measurement ('non-flat').
DOI: 10.6084/m9.figshare.24063999
title: Supplementary Table2

description: <b>Supplementary Table 2</b>: Differential and KEGG enrichment analysis of host gene expression. Related to Figure 2. <b>(a)</b>Differential Genes of CMS1. <b>(b)</b>Differential Genes of CMS2.<b>(c)</b>Differential Genes of CMS3. <b>(d)</b>Differential Genes of CMS4. <b>(e)</b>The Enriched KEGG Pathways of Differential Genes of CMS1(P value&lt;0.05). <b>(f)</b>The Enriched KEGG Pathways of Differential Genes of CMS2(P value&lt;0.05). <b>(g)</b>The Enriched KEGG Pathways of Differential Genes of CMS3(P value&lt;0.05).<b> (h)</b>The Enriched KEGG Pathways of Differential Genes of CMS4(P value&lt;0.05).
DOI: 10.6084/m9.figshare.24063999.v3
title: Supplementary Table2

description: <b>Supplementary Table 2</b>: Differential and KEGG enrichment analysis of host gene expression. Related to Figure 2. <b>(a)</b>Differential Genes of CMS1. <b>(b)</b>Differential Genes of CMS2.<b>(c)</b>Differential Genes of CMS3. <b>(d)</b>Differential Genes of CMS4. <b>(e)</b>The Enriched KEGG Pathways of Differential Genes of CMS1(P value&lt;0.05). <b>(f)</b>The Enriched KEGG Pathways of Differential Genes of CMS2(P value&lt;0.05). <b>(g)</b>The Enriched KEGG Pathways of Differential Genes of CMS3(P value&lt;0.05).<b> (h)</b>The Enriched KEGG Pathways of Differential Genes of CMS4(P value&lt;0.05).
DOI: 10.6084/m9.figshare.24063999.v2
title: Supplementary Table2

description: <b>Supplementary Table 2</b>: Differential and KEGG enrichment analysis of host gene expression. Related to Figure 2. <b>(a)</b>Differential Genes of CMS1. <b>(b)</b>Differential Genes of CMS2.<b>(c)</b>Differential Genes of CMS3. <b>(d)</b>Differential Genes of CMS4. <b>(e)</b>The Enriched KEGG Pathways of Differential Genes of CMS1(P value&lt;0.05). <b>(f)</b>The Enriched KEGG Pathways of Differential Genes of CMS2(P value&lt;0.05). <b>(g)</b>The Enriched KEGG Pathways of Differential Genes of CMS3(P value&lt;0.05).<b> (h)</b>The Enriched KEGG Pathways of Differential Genes of CMS4(P value&lt;0.05).
DOI: 10.6084/m9.figshare.24948699
title: Low-frequency magnetic susceptibility (χ<sub>if</sub>) and high-frequency magnetic susceptibility (χ<sub>hf</sub>) from the Sanmenxia Basin over the past of 3.03-2.59 Ma.

description: <b>Here, we present a high-resolution </b><b>magnetic susceptibility (χ</b><sub><strong>if</strong></sub><b>) record (with a resolution of ~800-yr) from the Sanmenxia Basin in northern China that spans a Late Pliocene time interval between 3.03 Ma and 2.59 Ma.</b>
DOI: 10.6084/m9.figshare.24948699.v1
title: Low-frequency magnetic susceptibility (χ<sub>if</sub>) and high-frequency magnetic susceptibility (χ<sub>hf</sub>) from the Sanmenxia Basin over the past of 3.03-2.59 Ma.

description: <b>Here, we present a high-resolution </b><b>magnetic susceptibility (χ</b><sub><strong>if</strong></sub><b>) record (with a resolution of ~800-yr) from the Sanmenxia Basin in northern China that spans a Late Pliocene time interval between 3.03 Ma and 2.59 Ma.</b>
DOI: 10.5281/zenodo.10462387
title: La schistosomiase urinaire : un problème de santé publique en zone rurale dans le département du Mungo au Cameroun

description: Résumé

Introduction : En dépit de toutes les stratégies de lutte développée, la schistosomiase demeure un problème majeur de santé publique surtout en milieu rural. Ce travail avait pour objectif d’étudier le poids de la schistosomiase urinaire en zone rurale ainsi que la perception de la population dans le département du Mungo, au Cameroun. 

Méthodologie : Il s’agissait d’une étude communautaire prospective et transversale dans laquelle une sélection aléatoire de 3 villages a été effectuée dans une zone suspectée de transmission de schistosomiase élevée. Dans chaque village, la population cible était composée d’individus âgés de plus de 5 ans. Un questionnaire structuré a été administré aux participants avant le prélèvement d’échantillons d’urine pour la détection de l’hématurie et des œufs de schistosome, à l’aide de méthodes microscopiques. 

Résultats : Au total, 1331 échantillons d’urine ont été prélevés des personnes volontaires, dont 30,9 % venaient de Bakem, 39,4 % de Lélem Mouatong et 29,7 % de Penja. Les œufs de Schistosoma hematobium étaient présents dans 5,3 % des échantillons à Bakem, 5,7 % à Lélem Mouatong et 5,1 % à Penja. Il y avait une forte corrélation positive entre l’apparition d’hématurie et la présence d’œufs dans l’urine dans les 3 villages (r = 0,98). Le niveau de connaissance de la source d’infection par les participants était assez faible, allant de 7,8% à Bakem 12,4% à Lélem-Mouatong et 17,6% à Penja. 

 Conclusion : Cette recherche a démontré l’importance de l’éducation sanitaire comme l’une des stratégies de contrôle de la schistosomiase urinaire dans la zone d’étude.

Mots clés : Schistosomiase urinaire, département du Mungo, Cameroun
DOI: 10.5281/zenodo.10462388
title: La schistosomiase urinaire : un problème de santé publique en zone rurale dans le département du Mungo au Cameroun

description: Résumé

Introduction : En dépit de toutes les stratégies de lutte développée, la schistosomiase demeure un problème majeur de santé publique surtout en milieu rural. Ce travail avait pour objectif d’étudier le poids de la schistosomiase urinaire en zone rurale ainsi que la perception de la population dans le département du Mungo, au Cameroun. 

Méthodologie : Il s’agissait d’une étude communautaire prospective et transversale dans laquelle une sélection aléatoire de 3 villages a été effectuée dans une zone suspectée de transmission de schistosomiase élevée. Dans chaque village, la population cible était composée d’individus âgés de plus de 5 ans. Un questionnaire structuré a été administré aux participants avant le prélèvement d’échantillons d’urine pour la détection de l’hématurie et des œufs de schistosome, à l’aide de méthodes microscopiques. 

Résultats : Au total, 1331 échantillons d’urine ont été prélevés des personnes volontaires, dont 30,9 % venaient de Bakem, 39,4 % de Lélem Mouatong et 29,7 % de Penja. Les œufs de Schistosoma hematobium étaient présents dans 5,3 % des échantillons à Bakem, 5,7 % à Lélem Mouatong et 5,1 % à Penja. Il y avait une forte corrélation positive entre l’apparition d’hématurie et la présence d’œufs dans l’urine dans les 3 villages (r = 0,98). Le niveau de connaissance de la source d’infection par les participants était assez faible, allant de 7,8% à Bakem 12,4% à Lélem-Mouatong et 17,6% à Penja. 

 Conclusion : Cette recherche a démontré l’importance de l’éducation sanitaire comme l’une des stratégies de contrôle de la schistosomiase urinaire dans la zone d’étude.

Mots clés : Schistosomiase urinaire, département du Mungo, Cameroun
DOI: 10.6084/m9.figshare.24948801
title: <b>A comprehensive computational benchmarking framework for evaluating targeted chromatin conformation capture-specific methodologies</b>

description: Chromatin Conformation Capture (3C)-based technologies have enabled the accurate detection of topological genomic interactions And the adoption of ChIP techniques to 3C-based protocols makes it possible to identify long-range interactions mediated by a protein of interest with high specificity. To analyze these large and complex datasets, computational methods are undergoing a rapid and expansive evolution. Thus, a thorough evaluation of these analytical pipelines is necessary to establish which commonly used algorithms and processing pipelines need to be improved. To deepen the interpretation of targeted conformation capture data, and expedite the development of computational methods, we present a comprehensive benchmark framework, Bacon, to evaluate the performance of several computational methods, and provide practical recommendations for users working with HiChIP and/or ChIA-PET analysis.
DOI: 10.6084/m9.figshare.24948801.v1
title: <b>A comprehensive computational benchmarking framework for evaluating targeted chromatin conformation capture-specific methodologies</b>

description: Chromatin Conformation Capture (3C)-based technologies have enabled the accurate detection of topological genomic interactions And the adoption of ChIP techniques to 3C-based protocols makes it possible to identify long-range interactions mediated by a protein of interest with high specificity. To analyze these large and complex datasets, computational methods are undergoing a rapid and expansive evolution. Thus, a thorough evaluation of these analytical pipelines is necessary to establish which commonly used algorithms and processing pipelines need to be improved. To deepen the interpretation of targeted conformation capture data, and expedite the development of computational methods, we present a comprehensive benchmark framework, Bacon, to evaluate the performance of several computational methods, and provide practical recommendations for users working with HiChIP and/or ChIA-PET analysis.
DOI: 10.5281/zenodo.10444601
title: Rapid Market Screening dataset

description: The RMS dataset is described in the paper, details are given in Supplement A
DOI: 10.5281/zenodo.10444602
title: Rapid Market Screening dataset

description: The RMS dataset is described in the paper, details are given in Supplement A
DOI: 10.5281/zenodo.10462422
title: The effect of vitamin D supplementation on quality of life in stage II-III colorectal cancer patients undergoing adjuvant chemotherapy at Hasan Sadikin Hospital: A single-blind, randomized control trials
DOI: 10.5281/zenodo.10462423
title: The effect of vitamin D supplementation on quality of life in stage II-III colorectal cancer patients undergoing adjuvant chemotherapy at Hasan Sadikin Hospital: A single-blind, randomized control trials
DOI: 10.5258/soton/d2920
title: Dataset in support of the journal article 'Fracture and relaxation in dense cornstarch suspensions'

description: This dataset contains three sections: Analyzed Data, Code and X-Ray Data.

Analyzed Data: data plotted in figures 1 to 5

 - data_figure_1b.xlsx: volume and time for the three experiments shown in Figure 1b
 - data_figure_1c.xlsx: gauge pressure, hydrostatic pressure, mass fraction, volume rate and confidence intervals as shown in Figure 1c
 - data_figure_2c.xlsx: equivalent radius R and centroid height Z for the experiments shown in Figure 2c
 - data_figure_2d.xlsx: mass fraction, gauge pressure, effective viscosity, equivalent radius, centroid height, vertical velocity, growth velocity, Vb/Vg and dZ/dR as shown in Figure 2d
 - data_figure_3c.xlsx: gradient intensity and probability (fraction) of gradient intensity for the experiments shown in Figure 3c
 - data_figure_3c_inset.xlsx: mass fraction and metric for local fracture characterization as shown in the inset of Figure 3c
 - data_figure_4b_4c.xlsx: time, volume, equivalent radius, shear rate from growth and metric for local fracture characterization for the experiment shown in Figure 4b and c
 - data_figure_4d.xlsx: mass fraction, gauge pressure, critical shear rate from rheology, time for relaxation and error, time for critical shear rate and error as shown in Figure 4d
 - data_figure_5.xlsx: stress, shear rate and viscosity for the 57% and 58% mass fraction rheology data shown in Figure 5

Code: functions to calculate air thickness and gradient from X-ray data

 - intensityToThickness.m: MATLAB function to calculate the air thickness in mm from the X-ray intensity recorded in the X-Ray Data section
 - calculateGradient.m: MATLAB function to calculate the air thickness gradient intensity from the air thickness data

X-Ray data: Full X-ray data for experiments shown in figures 1 to 4

 - figure_XX_phimYYpc_PgZZkPa: XX figure number, YY cornstarch mass fraction in percent, ZZ gauge pressure in kPa
Scale is 0.112 mm/px for the 1000x1000 data and 0.056 mm/px for the 2000x2000 data.
Load the data and use intensityToThickness.m to convert to air thickness data.
DOI: 10.5281/zenodo.7826032
title: Imaging Temperature and Thickness of Thin  Planar Liquid Water Jets in Vacuum - data

description: Data set pertaining to the article "Imaging Temperature and Thickness of Thin Planar Liquid Water Jets in Vacuum", published in Struct. Dyn. 10, 034901 (2023), https://doi.org/10.1063/4.0000188 .

The following data are provided:




(zip-)file/Folder
Description
Format
Extension


IR_images/calibration_data/vacuum


Snapshots from a thermographic movie of our flat jet running in vacuum, at thirty different background temperature. (A snapshot shown in Fig. 3a, rhs.)



temperature values per camera pixel (°C), 640 row * 480 columns, semicolon-separated ascii data

.asc


IR_images/calibration_data/1atm
As above, for our flat jet running in atmosphere. (Three snapshots shown in Fig. 2a.)
as above
.asc


IR_images/calibration_data/chipnozzle
As above, for a flat jet produced from a chip nozzle, and running in atmosphere.
as above
.asc


IR_images/raw_data
As above, for various conditions of the flat jet environment as detailed in table exp_settings.csv.
as above
.asc


IR_video
Two thermographic movies recorded of our flat jet at varied conditions of the jet environment detailed in table chamber_pressure.pdf.
Radiographic image stream, suitable for opening with free software Optris Pix Connect.
.ravi


FJ_cooling_2D.mph
Input file for 2D finite element simulation of our flat jet.
Input file suitable for Comsol software, proprietary format.
.mph


Y_Z_Temp_Comsol.txt
Ascii representation of our simulated temperature profile (Fig. S7 (SI)).
List of (y,z,T) tupels, with (y,z) in m and T in °C.
.txt




 

In case you have any questions regarding this data set please contact: Uwe Hergenhahn, uhe@fhi.mpg.de .
DOI: 10.5281/zenodo.7826033
title: Imaging Temperature and Thickness of Thin  Planar Liquid Water Jets in Vacuum - data

description: Data set pertaining to the article "Imaging Temperature and Thickness of Thin Planar Liquid Water Jets in Vacuum", published in Struct. Dyn. 10, 034901 (2023), https://doi.org/10.1063/4.0000188 .

The following data are provided:




(zip-)file/Folder
Description
Format
Extension


IR_images/calibration_data/vacuum


Snapshots from a thermographic movie of our flat jet running in vacuum, at thirty different background temperature. (A snapshot shown in Fig. 3a, rhs.)



temperature values per camera pixel (°C), 640 row * 480 columns, semicolon-separated ascii data

.asc


IR_images/calibration_data/1atm
As above, for our flat jet running in atmosphere. (Three snapshots shown in Fig. 2a.)
as above
.asc


IR_images/calibration_data/chipnozzle
As above, for a flat jet produced from a chip nozzle, and running in atmosphere.
as above
.asc


IR_images/raw_data
As above, for various conditions of the flat jet environment as detailed in table exp_settings.csv.
as above
.asc


IR_video
Two thermographic movies recorded of our flat jet at varied conditions of the jet environment detailed in table chamber_pressure.pdf.
Radiographic image stream, suitable for opening with free software Optris Pix Connect.
.ravi


FJ_cooling_2D.mph
Input file for 2D finite element simulation of our flat jet.
Input file suitable for Comsol software, proprietary format.
.mph


Y_Z_Temp_Comsol.txt
Ascii representation of our simulated temperature profile (Fig. S7 (SI)).
List of (y,z,T) tupels, with (y,z) in m and T in °C.
.txt




 

In case you have any questions regarding this data set please contact: Uwe Hergenhahn, uhe@fhi.mpg.de .
DOI: 10.21942/uva.24948864
title: Code

description: See abstract
DOI: 10.21942/uva.24948864.v1
title: Code

description: See abstract
DOI: 10.5281/zenodo.10251356
title: Raw data for the article "Interrupted Polonovski strategy for the synthesis of functionalized amino acids and peptides"

description: Raw NMR, IR, and MS  data  for the article "Interrupted Polonovski strategy for the synthesis of functionalized amino acids and peptides" published in  Organic Letters, DOI: 

https://doi.org/10.1021/acs.orglett.3c03603

The number of the folders either correspond to compounds numbers in the article or the name of the folder is self-describing. All details concerning conditions and equipment for measurements can be found in the supporting information of the article. For convenience, the word file version of the supporting information can be found on the top of the raw data folder.
DOI: 10.5281/zenodo.10251357
title: Raw data for the article "Interrupted Polonovski strategy for the synthesis of functionalized amino acids and peptides"

description: Raw NMR, IR, and MS  data  for the article "Interrupted Polonovski strategy for the synthesis of functionalized amino acids and peptides" published in  Organic Letters, DOI: 

https://doi.org/10.1021/acs.orglett.3c03603

The number of the folders either correspond to compounds numbers in the article or the name of the folder is self-describing. All details concerning conditions and equipment for measurements can be found in the supporting information of the article. For convenience, the word file version of the supporting information can be found on the top of the raw data folder.
DOI: 10.6084/m9.figshare.24948852
title: Eubacterial populations in the apple snail’s digestive gland

description: Raw Data from the paper "Deciphering the symbiotic bacterial biodiversity and its metabolic interactions in the digestive gland of the freshwater gastropod <i>Pomacea canaliculata</i>".
DOI: 10.6084/m9.figshare.24948852.v1
title: Eubacterial populations in the apple snail’s digestive gland

description: Raw Data from the paper "Deciphering the symbiotic bacterial biodiversity and its metabolic interactions in the digestive gland of the freshwater gastropod <i>Pomacea canaliculata</i>".
DOI: 10.34740/kaggle/dsv/7344336
title: Belgium Traffic Signs
DOI: 10.21942/uva.24948924
title: Code files for project

description: See abstract
DOI: 10.21942/uva.24948924.v1
title: Code files for project

description: See abstract
DOI: 10.6084/m9.figshare.24637164
title: Sleep Quality Data

description: The Objective Sleep Quality of Post-Stroke Patients Using the Wearable Intelligent Sleep Monitor
DOI: 10.5281/zenodo.10462415
title: InSAR derived surface displacement maps of the 1995 Gulf of Aqaba earthquake

description: The archive consists of six surface displacement maps of the 1995 Gulf of Aqaba earthquake. Five of these maps have been derived from differential radar interferometry (using phase information) and, a one map (suffix *off) was derived from azimuth pixelm offset tracking (using amplitude information). The data is provided in native KITE format. KITE is a python package for postprocessing of Interferometric synthetic aperture radar (InSAR) derived deformation maps and can be found here: www.pyrocko.org/kite
DOI: 10.5281/zenodo.10462416
title: InSAR derived surface displacement maps of the 1995 Gulf of Aqaba earthquake

description: The archive consists of six surface displacement maps of the 1995 Gulf of Aqaba earthquake. Five of these maps have been derived from differential radar interferometry (using phase information) and, a one map (suffix *off) was derived from azimuth pixelm offset tracking (using amplitude information). The data is provided in native KITE format. KITE is a python package for postprocessing of Interferometric synthetic aperture radar (InSAR) derived deformation maps and can be found here: www.pyrocko.org/kite