cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25326/419
title: Total deposition flux of insoluble atmospheric particles, M’Bour, Senegal

description: Total deposition flux of insoluble atmospheric particles was collected with a passive collector of an inverted “Frisbee” shape (Hall and Waters, 1986; Hall and Upton, 1988), equipped with a flow deflector ring, as tested by Wiggs et al. (2002) and full with marbles to limit dust resuspension and rain splashing. The “Frisbee” collector was installed on the roof of a building (i.e. at about 10 m above the ground level) of the geophysical station of the Institut de Recherche pour le Développement (IRD) installed in a nature reserve of 50 ha, and 80 m from the seaside. The samples were collected manually with a weekly time-step. In case of rainfall during the rainy season, water and deposited particles were collected in a 5-litter bottle connected to the bottom of the sampler. The collection procedure was decomposed into three main phases: (1) rinsing with a large volume of water, (2) decantation during more than 6 hours and siphoning of excess water; (3) drying in an oven at 70°C until complete water evaporation. The collected dust was finally weighed in a pre-weighted pillbox with a balance having a precision of 0.0001 g. Total deposition flux of insoluble atmospheric particles is expressed as g/m² per sampling period and as g/m²/day by dividing the collected mass by surface of collection and sampling duration (dates of start and end of sampling are given in the data files in UTC). Fluxes are given after subtracting blanks; the blank value is given in the header of each file.
DOI: 10.57782/rzm27t/tyaien
title: sub-s029_task-noisy_run-2_events.json

description: :unav
DOI: 10.57782/rzm27t/rxk7hk
title: sub-s026_task-rest_sbref.json

description: :unav
DOI: 10.57782/rzm27t/cx94bp
title: sub-s027_task-noisy_run-2_bold.json

description: :unav
DOI: 10.57782/rzm27t/pa4u51
title: sub-s026_magnitude2.nii.gz

description: :unav
DOI: 10.57782/rzm27t/iwoh4e
title: sub-s026_task-audiovisual_run-1_bold.nii.gz

description: :unav
DOI: 10.57782/rzm27t/0wi6iq
title: sub-s029_task-noisy_run-1_events.tsv

description: :unav
DOI: 10.57782/rzm27t/1zgopg
title: sub-s027_task-clean_run-2_bold.nii.gz

description: :unav
DOI: 10.57782/rzm27t/jhdmvb
title: sub-s026_magnitude2.json

description: :unav
DOI: 10.57782/rzm27t/e9opxj
title: sub-s026_task-clean_run-2_events.tsv

description: :unav
DOI: 10.57782/rzm27t/apcwd8
title: sub-s026_task-noisy_run-2_sbref.nii.gz

description: :unav
DOI: 10.57782/rzm27t/j9pwqp
title: sub-s030_T1w.json

description: :unav
DOI: 10.57782/rzm27t/x7giz1
title: sub-s028_task-noisy_run-1_events.json

description: :unav
DOI: 10.57782/rzm27t/qu0dhy
title: sub-s028_task-noisy_run-1_sbref.nii.gz

description: :unav
DOI: 10.57782/rzm27t/sznagz
title: sub-s027_task-noisy_run-1_bold.json

description: :unav
DOI: 10.57782/rzm27t/znpjcc
title: sub-s035_task-noisy_run-1_bold.nii.gz

description: :unav
DOI: 10.57782/rzm27t/gdusmz
title: sub-s032_task-audiovisual_run-2_events.tsv

description: :unav
DOI: 10.57782/rzm27t/asodfz
title: sub-s035_task-clean_run-2_events.json

description: :unav
DOI: 10.57782/rzm27t/ezl6xh
title: sub-s035_task-noisy_run-2_sbref.nii.gz

description: :unav
DOI: 10.57782/rzm27t/zxy9wg
title: sub-s035_task-rest_bold.json

description: :unav
DOI: 10.57782/rzm27t/vjzhee
title: sub-s033_task-clean_run-1_bold.json

description: :unav
DOI: 10.57782/rzm27t/glmydl
title: sub-s034_task-clean_run-1_bold.json

description: :unav
DOI: 10.57782/rzm27t/hqiccw
title: sub-s033_task-clean_run-1_sbref.nii.gz

description: :unav
DOI: 10.57782/rzm27t/yscbcr
title: sub-s034_task-rest_sbref.json

description: :unav
DOI: 10.57782/rzm27t/26xibc
title: sub-s035_task-audiovisual_run-1_sbref.json

description: :unav
DOI: 10.57782/rzm27t/wji9me
title: sub-s034_task-clean_run-2_sbref.json

description: :unav
DOI: 10.57782/rzm27t/nyj6dq
title: sub-s031_task-noisy_run-1_events.json

description: :unav
DOI: 10.57782/rzm27t/agk3w5
title: sub-s031_task-audiovisual_run-1_sbref.json

description: :unav
DOI: 10.57782/rzm27t/g5ffpn
title: sub-s033_task-audiovisual_run-2_events.json

description: :unav
DOI: 10.57782/rzm27t/taxhvv
title: sub-s033_phasediff.json

description: :unav
DOI: 10.57782/rzm27t/yjgr7x
title: sub-s033_task-clean_run-2_bold.json

description: :unav
DOI: 10.57782/rzm27t/b4r6ss
title: sub-s032_T1w.nii.gz

description: :unav
DOI: 10.57782/rzm27t/pry6ho
title: sub-s031_task-rest_sbref.json

description: :unav
DOI: 10.57782/rzm27t/srndqs
title: sub-s035_task-clean_run-2_events.tsv

description: :unav
DOI: 10.57782/rzm27t/bx9ilm
title: sub-s033_task-audiovisual_run-1_events.json

description: :unav
DOI: 10.57782/rzm27t/vhu9gm
title: sub-s031_task-audiovisual_run-2_bold.nii.gz

description: :unav
DOI: 10.57782/rzm27t/kxjhb1
title: sub-s034_T1w.json

description: :unav
DOI: 10.15468/dl.jwxpnj
title: Occurrence Download

description: A dataset containing 273 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (China, Chinese Taipei)",
 "OccurrenceStatus is Present",
 "TaxonKey is Aster subulatus Michx.",
 "Year 2001-2024"
 ]
}

 The dataset includes 273 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003415-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57782/rzm27t/kkdtug
title: sub-s033_task-audiovisual_run-2_bold.nii.gz

description: :unav
DOI: 10.57782/rzm27t/cgq0eb
title: sub-s031_task-noisy_run-1_events.tsv

description: :unav
DOI: 10.57782/rzm27t/aqp9nj
title: sub-s035_task-noisy_run-2_sbref.json

description: :unav
DOI: 10.57782/rzm27t/kbtqvp
title: sub-s035_task-clean_run-1_sbref.json

description: :unav
DOI: 10.57782/rzm27t/tx8hvj
title: sub-s031_task-clean_run-1_sbref.json

description: :unav
DOI: 10.57782/rzm27t/yxxvvo
title: sub-s032_task-audiovisual_run-2_bold.json

description: :unav
DOI: 10.25326/421
title: Wet deposition flux of insoluble atmospheric particles, Cinzana, Mali

description: Wet deposition flux of insoluble atmospheric particles is collected using a passive MTX ARS 1010 automatic deposition sampler (MTX Italia SPA, Modane, Italy). The collector is made of two buckets (30 cm diameter) and a humidity sensor activated an aluminium lid to cover or uncover the buckets whether in case of rain or not. Following the WMO GAW recommendations, the collector opens within 5 seconds of the onset of precipitation of any type or rate; it closes within 120 seconds of the cessation of precipitation. The collector does not open in the absence of precipitation. It is installed at 5.2 m height. The samples are collected manually with a weekly time-step or after each precipitation event. The collection procedure is decomposed into three main phases: (1) rinsing with a large volume of water, (2) decantation during more than 6 hours and siphoning of excess water; (3) drying in an oven at 70°C until complete water evaporation. The collected dust is finally weighted in a pre-weighted pillbox with a balance having a precision of 0.0001 g. Wet deposition flux of insoluble atmospheric particles is expressed as g/m² per sampling period and as g/m²/day by dividing the collected mass by surface of collection and sampling duration (dates of start and end of sampling are given in the data files in UTC). Fluxes are given after subtracting blanks; the blank value is given in the header of each file.
DOI: 10.57782/rzm27t/zfqcob
title: sub-s034_task-rest_bold.nii.gz

description: :unav
DOI: 10.57782/rzm27t/jxql5i
title: sub-s035_magnitude1.json

description: :unav
DOI: 10.57782/rzm27t/jn1l1l
title: sub-s031_task-clean_run-1_events.tsv

description: :unav
DOI: 10.57782/rzm27t/ylcxuu
title: sub-s033_task-noisy_run-1_bold.nii.gz

description: :unav
DOI: 10.57782/rzm27t/f1thbv
title: sub-s034_task-noisy_run-2_sbref.json

description: :unav
DOI: 10.57782/rzm27t/eppwge
title: sub-s032_task-audiovisual_run-1_events.json

description: :unav
DOI: 10.57782/rzm27t/bzk1b9
title: sub-s034_task-audiovisual_run-2_sbref.json

description: :unav
DOI: 10.57782/rzm27t/ykivgv
title: sub-s032_task-noisy_run-1_events.json

description: :unav
DOI: 10.57782/rzm27t/ppbbys
title: sub-s035_task-clean_run-1_sbref.nii.gz

description: :unav
DOI: 10.57782/rzm27t/8eejbt
title: sub-s034_magnitude2.json

description: :unav
DOI: 10.57782/rzm27t/kr46db
title: sub-s033_task-clean_run-1_events.json

description: :unav
DOI: 10.57782/rzm27t/pfxiqu
title: sub-s032_task-audiovisual_run-1_sbref.json

description: :unav
DOI: 10.57782/rzm27t/x5dct2
title: sub-s031_task-rest_sbref.nii.gz

description: :unav
DOI: 10.57782/rzm27t/gtjakc
title: sub-s035_T1w.nii.gz

description: :unav
DOI: 10.57782/rzm27t/t7its8
title: sub-s032_task-clean_run-2_bold.nii.gz

description: :unav
DOI: 10.57782/rzm27t/ymxchz
title: sub-s035_magnitude1.nii.gz

description: :unav
DOI: 10.57782/rzm27t/mg19rd
title: sub-s034_phasediff.nii.gz

description: :unav
DOI: 10.15468/dl.ug9v4h
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (China, Chinese Taipei)",
 "OccurrenceStatus is Present",
 "TaxonKey is Aster subulatus Steud.",
 "Year 2000-2024"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003416-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57782/rzm27t/n3lcqo
title: sub-s031_task-noisy_run-1_bold.nii.gz

description: :unav
DOI: 10.57782/rzm27t/mf7tc6
title: sub-s035_task-audiovisual_run-1_bold.json

description: :unav
DOI: 10.57782/rzm27t/wt7koc
title: sub-s034_task-clean_run-1_sbref.json

description: :unav
DOI: 10.57782/rzm27t/ttojzh
title: sub-s033_task-clean_run-1_events.tsv

description: :unav
DOI: 10.57782/rzm27t/bpplmc
title: sub-s033_magnitude1.nii.gz

description: :unav
DOI: 10.57782/rzm27t/ai2r1o
title: sub-s033_task-clean_run-2_events.tsv

description: :unav
DOI: 10.57782/rzm27t/lf2mga
title: sub-s035_task-noisy_run-2_events.json

description: :unav
DOI: 10.57782/rzm27t/sntih5
title: sub-s034_task-noisy_run-1_events.json

description: :unav
DOI: 10.57782/rzm27t/smzwzc
title: sub-s033_task-audiovisual_run-1_events.tsv

description: :unav
DOI: 10.57782/rzm27t/ij5pr3
title: sub-s032_task-clean_run-1_events.tsv

description: :unav
DOI: 10.57782/rzm27t/njcm5v
title: sub-s035_task-clean_run-1_bold.nii.gz

description: :unav
DOI: 10.57782/rzm27t/thgon1
title: sub-s035_task-clean_run-2_bold.json

description: :unav
DOI: 10.57782/rzm27t/iue4by
title: sub-s032_task-noisy_run-2_sbref.nii.gz

description: :unav
DOI: 10.5518/1053
title: DigiBog model input, setting, and output files of some typical tropical peatland conditions in Sebangau, Kalimantan, Indonesia

description: DigiBog_Hydro is a hydrodynamics model that is usually being used to model water-table dynamics in peatlands. We modelled drained tropical peatlands, typical of those found in Sebangau, Kalimantan, Indonesia. The modelled scenarios counted in several items: degree of peatland degradation, climate, ditch dam and bund existence, and bund depth. The degree of peatland degradation had two variants, which were moderately degraded (Mod-Dgr) and severely degraded (Sev-Dgr) peatlands. Three years with different climate conditions were simulated, which were a La Niña year (LaN) (1 February 2011 to 8 February 2012), an ENSO ‘Neutral’ year (Ntr) (1 February 2013 to 8 February 2014), and a El Niño year (ElN) (1 February 2015 to 8 February 2016). The ditch dam and bund existence variations were a drained peatland with ditch dams and bunds (Combined), a drained peatland with bunds but without dams (Bunded), a drained peatland with dams but without bunds (Dammed), and a drained peatland without dams and without bunds (Control). In the scenarios that involve bunds, two bunds variants were used, which were On-Surface (Os) and Extended (Ex). The DigiBog _Hydro model was supplied with net rainfall data, accompanied with hydraulic conductivity and specific yield data that were vary in the x-y plane and in depth. The model was also provided with initial and boundary condition data. The main model settings were stored in parameter and column status files. The outputs of DigiBog_Hydro were peatland water-table variations at a certain interval within the simulated period.
DOI: 10.57782/rzm27t/8jmvko
title: sub-s031_task-clean_run-1_bold.json

description: :unav
DOI: 10.57782/rzm27t/s1hssd
title: sub-s034_task-audiovisual_run-2_sbref.nii.gz

description: :unav
DOI: 10.57782/rzm27t/lpzg5g
title: sub-s035_task-audiovisual_run-1_sbref.nii.gz

description: :unav
DOI: 10.57782/rzm27t/jzdwjv
title: sub-s032_task-clean_run-2_events.tsv

description: :unav
DOI: 10.5281/zenodo.7656837
title: The state of digital archaeological archiving policies and practice [questionnaire survey results]

description: The digital transition in archaeology is often taken for granted, yet the process is far from complete. The topic of digital archiving has been addressed by both the EAC Working Group for Archaeological Archives and the SEADDA project. These two entities joined forces to produce a special issue of the Internet Archaeology journal, bringing together papers on digital archiving practices in over two dozen countries (Richards et al. 2021). The papers were later analysed by EAC and SEADDA to compare the international situation. The results reveal both shared difficulties associated with the issue of documentary archives worldwide and examples of good practices that help to overcome these problems.


A questionnaire survey was also carried out to complement the findings resulting from the interpretation of the published articles with supporting data covering the whole European area in a balanced way. The survey allowed for the compilation of an overview of the situation in 27 countries (30 regions) of Europe. All respondents were experts involved in digital archiving and/or heritage data management in individual countries. Based on the collected information, the disproportion in value of archaeological data and their position within heritage management practice is already proving to be a major shortcoming. Presented dataset contains the questionnaire and the survey results, serving as complementary material to the published interpretation (Novák et al. forthcoming).


References:


Novák, D. - Oniszczuk, A. - Gumbert, B. forthcoming: Digital archaeological archiving policies and practice in Europe: the EAC call for action. Internet Archaeology 63. https://doi.org/10.11141/ia.63.7


Richards, J.D., Jakobsson, U., Novák, D., Štular, B. and Wright, H. 2021: Digital Archiving in Archaeology: The State of the Art. Introduction, Internet Archaeology 58. https://doi.org/10.11141/ia.58.23
description: This work was supported by SEADDA Cost Action (https://seadda.eu/) and EAC (https://www.europae-archaeologiae-consilium.org/).
DOI: 10.5281/zenodo.7656838
title: The state of digital archaeological archiving policies and practice [questionnaire survey results]

description: The digital transition in archaeology is often taken for granted, yet the process is far from complete. The topic of digital archiving has been addressed by both the EAC Working Group for Archaeological Archives and the SEADDA project. These two entities joined forces to produce a special issue of the Internet Archaeology journal, bringing together papers on digital archiving practices in over two dozen countries (Richards et al. 2021). The papers were later analysed by EAC and SEADDA to compare the international situation. The results reveal both shared difficulties associated with the issue of documentary archives worldwide and examples of good practices that help to overcome these problems.


A questionnaire survey was also carried out to complement the findings resulting from the interpretation of the published articles with supporting data covering the whole European area in a balanced way. The survey allowed for the compilation of an overview of the situation in 27 countries (30 regions) of Europe. All respondents were experts involved in digital archiving and/or heritage data management in individual countries. Based on the collected information, the disproportion in value of archaeological data and their position within heritage management practice is already proving to be a major shortcoming. Presented dataset contains the questionnaire and the survey results, serving as complementary material to the published interpretation (Novák et al. forthcoming).


References:


Novák, D. - Oniszczuk, A. - Gumbert, B. forthcoming: Digital archaeological archiving policies and practice in Europe: the EAC call for action. Internet Archaeology 63. https://doi.org/10.11141/ia.63.7


Richards, J.D., Jakobsson, U., Novák, D., Štular, B. and Wright, H. 2021: Digital Archiving in Archaeology: The State of the Art. Introduction, Internet Archaeology 58. https://doi.org/10.11141/ia.58.23
description: This work was supported by SEADDA Cost Action (https://seadda.eu/) and EAC (https://www.europae-archaeologiae-consilium.org/).
DOI: 10.57782/rzm27t/o4sx8x
title: sub-s033_task-audiovisual_run-2_bold.json

description: :unav
DOI: 10.57782/rzm27t/giqf68
title: sub-s035_task-rest_bold.nii.gz

description: :unav
DOI: 10.57782/rzm27t/lau9yo
title: sub-s034_task-audiovisual_run-1_bold.nii.gz

description: :unav
DOI: 10.57782/rzm27t/h9nxjw
title: sub-s032_task-clean_run-2_sbref.json

description: :unav
DOI: 10.57782/rzm27t/5c6i2q
title: sub-s033_task-clean_run-2_bold.nii.gz

description: :unav
DOI: 10.57782/rzm27t/dpirl7
title: sub-s031_T1w.json

description: :unav
DOI: 10.57782/rzm27t/ufid1a
title: sub-s031_task-noisy_run-2_sbref.nii.gz

description: :unav
DOI: 10.57782/rzm27t/qmhfju
title: sub-s033_task-audiovisual_run-2_events.tsv

description: :unav
DOI: 10.5281/zenodo.12581226
title: muscicapa_olivascens_spades_01.fasta.gz

description: .
DOI: 10.5281/zenodo.12581227
title: muscicapa_olivascens_spades_01.fasta.gz

description: .
DOI: 10.57782/rzm27t/eyfhg2
title: sub-s032_task-audiovisual_run-1_sbref.nii.gz

description: :unav
DOI: 10.57782/rzm27t/ehuc0y
title: sub-s033_magnitude2.nii.gz

description: :unav
DOI: 10.57782/rzm27t/ghetmd
title: sub-s031_task-noisy_run-1_sbref.json

description: :unav
DOI: 10.57782/rzm27t/gznpp1
title: sub-s035_T1w.json

description: :unav
DOI: 10.57782/rzm27t/5q8phk
title: sub-s032_task-noisy_run-2_bold.json

description: :unav
DOI: 10.57782/rzm27t/wly14y
title: sub-s031_task-clean_run-2_bold.nii.gz

description: :unav
DOI: 10.57782/rzm27t/ojfpnx
title: sub-s032_task-noisy_run-1_bold.json

description: :unav
DOI: 10.57782/rzm27t/d5uldc
title: sub-s031_task-clean_run-1_bold.nii.gz

description: :unav
DOI: 10.57782/rzm27t/siueus
title: sub-s033_task-noisy_run-1_sbref.json

description: :unav
DOI: 10.57782/rzm27t/snvqyv
title: sub-s032_task-rest_sbref.nii.gz

description: :unav
DOI: 10.57782/rzm27t/zttait
title: sub-s033_task-noisy_run-2_sbref.json

description: :unav
DOI: 10.57782/rzm27t/hxeyr1
title: sub-s032_task-rest_bold.nii.gz

description: :unav
DOI: 10.57782/rzm27t/dykb29
title: sub-s031_task-rest_bold.json

description: :unav
DOI: 10.57782/rzm27t/zlbrqr
title: sub-s034_task-audiovisual_run-1_events.json

description: :unav
DOI: 10.57782/rzm27t/dwzecg
title: sub-s032_task-noisy_run-1_bold.nii.gz

description: :unav
DOI: 10.5281/zenodo.6368000
title: Supplementary GIS data - Potential and implications of automated pre-processing of LiDAR-based digital elevation models for large-scale archaeological landscape analysis

description: A supplementary dataset related to the paper discussing preparation of a digital elevation model derived from DMR 5G (LiDAR-based DEM of the Czech Republic) cleaned of modern artificial features. It includes data used as a clipping mask and data produced during the testing phase.


Contents:



	
..\clipping_buffers.gdb\ - Clipping buffers based on ZABAGED dataset used for masking the original data stored as ESRI geodatabase.
	
..\drainages\ - Drainages with Strahler order higher than four (potential watercourses) for the original and filtered DEMs.
	

		
drainages_filtered - Drainges identified in the filtered DEM stored as GeoTIFF.
		
drainages_original - Drainges identified in the original DEM stored as GeoTIFF. 
	
	
	
..\LSC\ - Locations with significant land surface curvature for the original and filtered DEMs.
	

		
LSC_filtered - Significant LSC identified in the filtered DEM stored as GeoTIFF. 
		
LSC_original - Significant LSC identified in the original DEM stored as GeoTIFF. 
	
	
	
..\visibility\ - Viewsheds computed over the original and filtered DEMs.
	

		
Libice\ - Sample viewsheds computed for the early medieval hillfort of Libice.
		

			
Libice_visibility_filtered - Viewshed based on the filtered DEM stored as GeoTIFF. 
			
Libice_visibility_original - Viewshed based on the original DEM stored as GeoTIFF. 
			
observer_points - Observer points used for calculating the viewsheds.
		
		
		
regular_grid\ - Cumulative viewsheds calculated for regularly spaced points in a 10 x 10 km grid with a visibility radius of 5 km and an observer height of 2 m; a total of 574 viewsheds.
		

			
visibility_filtered - Cumulative viewshed for the filtered DEM stored as GeoTIFF.
			
visibility_original - Cumulative viewshed for the original DEM stored as GeoTIFF. 
			
visibility_test_buffers - Buffers used for the viewshed calculations stored as ESRI shapefile.
			
visibility_test_observers - Observer points used for the viewshed calculations stored as ESRI shapefile.
		
		
	
	



 


Preprint version of the related paper:


Novák, David and Pružinec, Filip, Potential and Implications of Automated Pre-Processing of Lidar-Based Digital Elevation Models for Large-Scale Archaeological Landscape Analysis. Available at SSRN: https://ssrn.com/abstract=4063514