cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.15424464
title: Legacy Survey sky image for Voronoi segmentation tutorial

description: Input dataset for the GTN tutorial titled 'Voronoi segmentation'. The dataset contains two images:



 Grayscale image (L mode): A grayscale version of the original three-channel image, obtained using pillow python package

 Seed image: generated through the following preprocessing steps:



Increasing the dynamic range

Smoothing

Histogram equalization

Thresholding




These images are processed versions of the original sky image part of Legacy Survey DR 10 that can be directly downloaded using this link. This image is taken around the region defined by R.A.=53.16216667 deg. and Dec.=-27.79149167 deg. with a pixel scale of 0.262 arcsec. 

The original image is published under Creative Commons Attribution 4.0 International License licence by Legacy Surveys / D. Lang (Perimeter Institute).  Acknowledgments for all Data from the Legacy Surveys.

An overview of the Legacy Surveys is available in Dey et al. (2019).
DOI: 10.5281/zenodo.15424465
title: Legacy Survey sky image for Voronoi segmentation tutorial

description: Input dataset for the GTN tutorial titled 'Voronoi segmentation'. The dataset contains two images:



 Grayscale image (L mode): A grayscale version of the original three-channel image, obtained using pillow python package

 Seed image: generated through the following preprocessing steps:



Increasing the dynamic range

Smoothing

Histogram equalization

Thresholding




These images are processed versions of the original sky image part of Legacy Survey DR 10 that can be directly downloaded using this link. This image is taken around the region defined by R.A.=53.16216667 deg. and Dec.=-27.79149167 deg. with a pixel scale of 0.262 arcsec. 

The original image is published under Creative Commons Attribution 4.0 International License licence by Legacy Surveys / D. Lang (Perimeter Institute).  Acknowledgments for all Data from the Legacy Surveys.

An overview of the Legacy Surveys is available in Dey et al. (2019).
DOI: 10.60507/fk2/hfxglp/wwfry8
title: GÜNZEL_Lekythos_307_readme.txt
DOI: 10.60507/fk2/hfxglp/shiem7
title: Lekythos_307_model.zip
DOI: 10.60507/fk2/hfxglp
title: Attic Black-Figure Lekythos in the Academic Art Museum (Inv. 307)

description: Attic Black-Figure Lekythos in the Academic Art Museum (University of Bonn, Inv. 307) showing a draped man playing pipes, warriors, clothes on stools, devices and ivy wreaths. Date: -525 to -475 BC
description: Agisoft Metashape, 1.3
description: Blender, 4.0
description: Substance Designer, 12.3.1
DOI: 10.60507/fk2/hfxglp/bqodcv
title: Lekythos_307_images.zip
DOI: 10.6084/m9.figshare.28988870.v1
title: Chordoma Preclinical Models Exhibit Resistance to BAF Complex Inhibitor FHD-286, Alone or in Combination with Gemcitabine

description: To evaluate BRG1(SMARCA4)/BRM(SMARCA2) as a potential therapeutic target, chordoma cell lines were treated with FHD-286. A panel of 4 chordoma cell lines were seeded in a white-walled 96-well plate so that at the start of treatment, 36 hours after plating, the confluence was 15%. The assay endpoint for each cell line was the amount of time for untreated cells to reach 80-90% confluence. Cell line-specific seeding densities and assay durations can be found through the link at the bottom of this page. CH22, UM-Chor1, U-CHCF365, and U-CH2 cell lines were plated in 100uL of (4:1) IMDM:RPMI 1640 + 10% FBS + 1% NEAA + 1% GlutaMAX. Cells were treated in triplicate with a 3-fold serial dilution of each drug with a top concentration of 5 uM to the lowest concentration of 0.762 nM. At the assay endpoint, cell viability was measured using CellTiter-Glo 2.0 Cell Viability Assay. Representative dose-response curves of the mean +/- the standard deviation are shown. The data was normalized to the DMSO-only control. Experiments for treatment with FHD-286 were repeated in all lines to ensure reproducibility. The absolute EC50 of all lines toward the single agent FHD-286 was &gt;1 uM.To evaluate if exacerbating replication stress induces sensitivity to BAF complex inhibition, cells were plated as noted above except for the addition of either 2.5 nM gemcitabine to CH22 and U-CHCF365 and 25 nM gemcitabine to U-CH2 and UM-Chor1 to the FHD-286 titration. The FHD-286 titration + gemcitabine addition was normalized to the gemcitabine only treatment instead of to the DMSO only control. Gemcitabine did not significantly increase sensitivity to FHD-286.
DOI: 10.25326/vz5k-e497
title: Desert dust + water + ice - Cloud study - 2010-10-04
DOI: 10.48436/18prp-1as97
title: Imaging the extension of deep carbon stocks at the catchment-scale with complex electrical conductivity

description: This file contains the raw data presented in the paper:"Imaging the extension of deep carbon stocks at the catchment-scale with complex electrical conductivity"  submitted to GRL by by Flores Orozco1, A., Gallistl, J., Gilfedder, B., Katona, T., Frei, S., Strauss, P., and Blöschl, G.

The file contains three subfolders:SIP1 - refers to the multi-frequency complex conductivity data collected along the line SIP 1. The measurements were collected using 64 electrodes with 1 m spacing between them. Each file in the subfolder refers to the data at different frequencies, with the frequency indicated in the name of the file (in mili Hertz). The folder also contains a file with the coordinates of the electrodes.

E1 - refers to the complex conductivity data collected along the exploration line. The measurements were collected with 677 electrodes, and 1 m spacing. The file contains repeated quadrupoles corresponding to those readings with overlapping segments in the roll-along survey. 

Lines E1 and SIP1 are perpendicular to each other, and measurements were collected with a DAS-1 instrument from MultiPhase Technologies.  

M1 - contains the raw data of the 27 lines collected as part of the mapping survey. Measurements were collected with a syscal switch pro 72 from IRIS instruments. There are two files, one with the data and one for the coordinates of each profile. All measurements were collected in the time-domain, with a square wave using a pulse length of 500 ms, and sampling of the decay curve with 19 windows with 20 ms duration for each window and 20 ms waiting time between the current switch-off and the collection of the first window. The raw data contains readings of the chargeability (m) measured in each window and the duration. In particular, the data comprises:1) 5 long lines (Mapping_l1n to Mapping_l5n) roughly with an orientation SW-NE with 72 electrodes and 1 m spacing between electrodes and 5 m between lines. These lines are parallel to SIP1 line 2) 17 short lines in direction SW-NE (Mapping_s1n to Mapping_s17n) with 72 electrodes each and a spacing of 0.5 m between electrodes and lines. These lines are parallel with the SIP13) 5 lines with roughly a direction SE-NW (Mapping_p1 to Mapping_5p) with 72 electrodes each and a spacing of 1 m between electrodes and 5 between lines. 

The measurements of a few reciprocal data are indicated with the "r" in the name of the file (for instance Mapping_l1r). Reciprocal measurements are the repetition of the normal measurements after interchanging the electrodes used for current and potential dipoles. These reciprocal measurements were collected for statistical analysis of the misfit between normal and reciprocal readings to quantify data-error.
DOI: 10.48436/5h7jb-26w42
title: Imaging the extension of deep carbon stocks at the catchment-scale with complex electrical conductivity

description: This file contains the raw data presented in the paper:"Imaging the extension of deep carbon stocks at the catchment-scale with complex electrical conductivity"  submitted to GRL by by Flores Orozco1, A., Gallistl, J., Gilfedder, B., Katona, T., Frei, S., Strauss, P., and Blöschl, G.

The file contains three subfolders:SIP1 - refers to the multi-frequency complex conductivity data collected along the line SIP 1. The measurements were collected using 64 electrodes with 1 m spacing between them. Each file in the subfolder refers to the data at different frequencies, with the frequency indicated in the name of the file (in mili Hertz). The folder also contains a file with the coordinates of the electrodes.

E1 - refers to the complex conductivity data collected along the exploration line. The measurements were collected with 677 electrodes, and 1 m spacing. The file contains repeated quadrupoles corresponding to those readings with overlapping segments in the roll-along survey. 

Lines E1 and SIP1 are perpendicular to each other, and measurements were collected with a DAS-1 instrument from MultiPhase Technologies.  

M1 - contains the raw data of the 27 lines collected as part of the mapping survey. Measurements were collected with a syscal switch pro 72 from IRIS instruments. There are two files, one with the data and one for the coordinates of each profile. All measurements were collected in the time-domain, with a square wave using a pulse length of 500 ms, and sampling of the decay curve with 19 windows with 20 ms duration for each window and 20 ms waiting time between the current switch-off and the collection of the first window. The raw data contains readings of the chargeability (m) measured in each window and the duration. In particular, the data comprises:1) 5 long lines (Mapping_l1n to Mapping_l5n) roughly with an orientation SW-NE with 72 electrodes and 1 m spacing between electrodes and 5 m between lines. These lines are parallel to SIP1 line 2) 17 short lines in direction SW-NE (Mapping_s1n to Mapping_s17n) with 72 electrodes each and a spacing of 0.5 m between electrodes and lines. These lines are parallel with the SIP13) 5 lines with roughly a direction SE-NW (Mapping_p1 to Mapping_5p) with 72 electrodes each and a spacing of 1 m between electrodes and 5 between lines. 

The measurements of a few reciprocal data are indicated with the "r" in the name of the file (for instance Mapping_l1r). Reciprocal measurements are the repetition of the normal measurements after interchanging the electrodes used for current and potential dipoles. These reciprocal measurements were collected for statistical analysis of the misfit between normal and reciprocal readings to quantify data-error.
DOI: 10.48597/8bx6-vptx
title: Measurement of Inorganics in precipitation at Sniezka

description: Measurement of Inorganics in precipitation at Sniezka
DOI: 10.48597/xawq-zwnt
title: Inorganics in precipitation at Sniezka

description: Measurement of Inorganics in precipitation at Sniezka
DOI: 10.48597/7sw8-veqj
title: Measurement of Inorganics in precipitation at Sniezka

description: Measurement of Inorganics in precipitation at Sniezka
DOI: 10.48597/h8rx-gy3t
title: Measurement of Inorganics in precipitation at Sniezka

description: Measurement of Inorganics in precipitation at Sniezka
DOI: 10.48597/n75r-s8m9
title: Measurement of Inorganics in precipitation at Sniezka

description: Measurement of Inorganics in precipitation at Sniezka
DOI: 10.48597/ra5q-bdxw
title: Measurement of Inorganics in precipitation at Sniezka

description: Measurement of Inorganics in precipitation at Sniezka
DOI: 10.48597/arny-x4vs
title: Measurement of Inorganics in precipitation at Sniezka

description: Measurement of Inorganics in precipitation at Sniezka
DOI: 10.48597/ve8q-ucpp
title: Measurement of Inorganics in precipitation at Sniezka

description: Measurement of Inorganics in precipitation at Sniezka
DOI: 10.5281/zenodo.15424834
title: TABLE 2 in Efficient All-Life-Cycle Ovitrap for Effective Aedes (Stegomyia) aegypti (Linnaeus, 1762) (Diptera: Culicidae) Control With Low Operational Costs

description: TABLE 2: Average Aedes spp. Larvae count per Ovitrap (F14, F9), Bimonthly, April–June 2023.
OvitrapWeek 1Week 3Week 5Week 7Week 9Week 11Pairwise comparisonsF1429.36 ± 34.5023.40 ± 19.4117.16 ± 26.9522.68 ± 29.1118.16 ± 19.6215.16 ± 14.32Week 1> week 6 (p � 0.018)3.80 ± 7.1211.44 ± 22.3612.12 ± 23.554.76 ± 5.849.52 ± 8.5910.80 ± 11.37F9F14> F9F14> F9—F14> F9F14> F9——(p � 0.001)(p � 0.049)(p � 0.485)(p � 0.004)(p � 0.049)(p � 0.239)
description: Published as part of Haruay, Surat, Piratae, Supawadee, Niamhom, Kanatid, Loyha, Kulchaya, Srisura, Denduangdee, Yaoup, Kongkaew, Pimpabud, Suwat, Netthip, Worasorn & Khampoosa, Panita, 2025, Efficient All-Life-Cycle Ovitrap for Effective Aedes (Stegomyia) aegypti (Linnaeus, 1762) (Diptera: Culicidae) Control With Low Operational Costs, pp. 7 in Psyche: A Journal of Entomology (5543382) 2025 (1) on page 7, DOI: 10.1155/psyc/5543382, http://zenodo.org/record/15391623
DOI: 10.5281/zenodo.13449634
title: EXIOBASE-hybrid Version 3 -  Consequential System

description:  

Introduction

The Consequential System of EXIOBASE hybrid is an extended version of EXIOBASE hybrid, a multi-regional hybrid input-output database. This system is particularly notable for its incorporation of models that address indirect land use changes (iLUC) and marginal electricity generation mix, alongside the inclusion of capital goods in its core input-output framework. These extensions enhances the model's capability in assessing long-term environmental consequences of human activities. 



Indirect land use change (iLUC): The model details land use-related environmental impacts by integrating indirect land use change activity accounting, such as deforestration and intensification, based on Schmidt et al. (2015). The model is first introduced into EXIOBASE by Schmidt & De Rosa (2018).

Marginal electricity mix: The model developed a long-term marginal electricity mix based on detailed characteristics of different electricity generation technologies. The underlying methodology is described in Muñoz et al. (2015) and its implementation in EXIOBASE is described in Merciai & Schmidt (2017)

Capital endogenization: The model fill the gap in capital goods use by activities by distributing capital goods use to industrial and final demand activities.


Data catalog



MR_extended_HIOT_2011_v3_3_18_act_emissions is the emission extension.

MR_extended_HIOT_2011_v3_3_18_incl_invest is the transaction matrix.

MR_extended_HIOT_2011_v3_3_18_incl_invest_FD is the final demand.

MR_extended_HIOT_2011_v3_3_18_reference_flow is the reference flow table for matrix normalization.


References



Merciai, S., & Schmidt, J. (2017). Land Use Change and Electricity Models in a Multi-regional Hybrid Input Output Framework. In 25th IIOA Conference in Atlantic City. https://lca-net.com/files/IIOA-paper-19-23-June-2017_iLUC-and-electricity-models-in-a-multi-regional-HIOT.pdf

Muñoz I, Schmidt J, de Saxcé M, Dalgaard R, Merciai S. (2015). Inventory of country specific electricity in LCA – consequential scenarios. Version 3.0. Report of the 2.-0 LCA Energy Club. 2.-0 LCA consultants, Aalborg https://lca-net.com/p/3935

Schmidt, J., Weidema, B. P., & Brandão, M. (2015). A framework for modelling indirect land use changes in Life Cycle Assessment. Journal of Cleaner Production, 99, 230–238. https://doi.org/10.1016/j.jclepro.2015.03.013

Schmidt, J., & De Rosa, M. (2018). Enhancing Land Use Change modelling with IO data. SETAC Europe 28th Annual Meeting. https://lca-net.com/files/SETAC_Rome_Schmidt_DeRosa_Extended-abstract_20180515.pdf
DOI: 10.48597/r265-dxy6
title: Inorganics in precipitation at Sniezka

description: Measurement of Inorganics in precipitation at Sniezka
DOI: 10.48597/auxu-ak85
title: Measurement of Inorganics in precipitation at Sniezka

description: Measurement of Inorganics in precipitation at Sniezka
DOI: 10.48597/4784-73x5
title: Measurement of Inorganics in precipitation at Sniezka

description: Measurement of Inorganics in precipitation at Sniezka
DOI: 10.13012/b2idb-6354818_v1
title: Viscoelastic coagulation testing for prediction of survival in horses with colic

description: Coagulation testing (VCM Vet™) was performed on 57 horses with acute abdominal pain at admission to the University of Illinois Veterinary Teaching Hospital. Additional clinical data were recorded retrospectively. ROC analysis was performed to determine the optimal number of abnormal coagulation parameters for coagulopathy diagnosis based on survival. General linear regression (GLM) and random forest (RF) classification models were developed to predict short-term survival. A training cohort of 40 horses was used for model development, and model performance was determined using the remaining 17 horses.
DOI: 10.48597/k9gw-hrjf
title: Measurement of Inorganics in precipitation at Sniezka

description: Measurement of Inorganics in precipitation at Sniezka
DOI: 10.48597/kw82-hjr5
title: Measurement of Inorganics in precipitation at Sniezka

description: Measurement of Inorganics in precipitation at Sniezka
DOI: 10.48597/vddg-jbff
title: Measurement of Inorganics in precipitation at Sniezka

description: Measurement of Inorganics in precipitation at Sniezka
DOI: 10.48597/wt64-d2gc
title: Measurement of Inorganics in precipitation at Sniezka

description: Measurement of Inorganics in precipitation at Sniezka
DOI: 10.48597/znnb-mree
title: Measurement of Inorganics in precipitation at Sniezka

description: Measurement of Inorganics in precipitation at Sniezka
DOI: 10.48597/5kyv-tyha
title: Measurement of Inorganics in precipitation at Sniezka

description: Measurement of Inorganics in precipitation at Sniezka
DOI: 10.48597/8967-7eys
title: Measurement of Inorganics in precipitation at Sniezka

description: Measurement of Inorganics in precipitation at Sniezka
DOI: 10.48597/bbgv-25r6
title: Measurement of Inorganics in precipitation at Sniezka

description: Measurement of Inorganics in precipitation at Sniezka
DOI: 10.48597/dra7-gtvv
title: Measurement of Inorganics in precipitation at Sniezka

description: Measurement of Inorganics in precipitation at Sniezka
DOI: 10.48597/hk5g-yrm9
title: Measurement of Inorganics in precipitation at Sniezka

description: Measurement of Inorganics in precipitation at Sniezka
DOI: 10.48597/m36c-3hw6
title: Measurement of Inorganics in precipitation at Sniezka

description: Measurement of Inorganics in precipitation at Sniezka
DOI: 10.48597/mr74-gtmf
title: Measurement of Inorganics in precipitation at Sniezka

description: Measurement of Inorganics in precipitation at Sniezka
DOI: 10.48597/mxvj-ctt5
title: Measurement of Inorganics in precipitation at Sniezka

description: Measurement of Inorganics in precipitation at Sniezka
DOI: 10.48597/sr38-ajeq
title: Measurement of Inorganics in precipitation at Sniezka

description: Measurement of Inorganics in precipitation at Sniezka
DOI: 10.25835/1d5xqzwc
title: Wear effects on coated tools during the alternating forming of case-hardening steel and aluminium wrought alloy

description: A major factor for a high economic profitability in industrial bulk metal forming is the
material-specific wear of the forming tools, which has a significant influence on process
reproducibility. Particularly in Tailored Forming, in which hybrid material combinations are
processed, narrow and sensitive process windows are characteristic. During impact extrusion of
joined hybrid semi-finished workpieces made of steel and aluminium, the extrusion shoulder is
subjected to combined wear phenomena. Adhesion and abrasion are superimposed, whose
interactions lead to process fluctuations and premature failures in the absence of sufficient wear
resistance. To investigate the yet unknown combination of the interactions, upsetting tests are
carried out in cycles of 100, in which steel (AISI 5120H) and aluminium (AA-6082) are hotformed
alternately. In addition to tempered and nitrided tools, duplex coatings such as chromium
nitride and titanium aluminium nitride are used to evaluate the potential of reducing the occurring
wear phenomena through surface engineering methods. After the first cycles, the tools exhibit
needle-shaped adhesion marks consisting of aluminium, which were subsequently transferred
primarily to the steel workpieces during upsetting. Since adhesion is more present at the tool edge,
an increased adhesive tendency with longer flow paths is observed. Due to the improved
tribological conditions, duplex coatings minimise the wear volume on the tool and potentially on
the formed workpiece with short contact times.
DOI: 10.48597/4679-332f
title: Measurement of Inorganics in precipitation at Sniezka

description: Measurement of Inorganics in precipitation at Sniezka
DOI: 10.48597/4hst-kxb6
title: Measurement of Inorganics in precipitation at Sniezka

description: Measurement of Inorganics in precipitation at Sniezka
DOI: 10.48597/pcy4-btgu
title: Measurement of Inorganics in precipitation at Sniezka

description: Measurement of Inorganics in precipitation at Sniezka
DOI: 10.48597/jacb-nkkb
title: Measurement of Inorganics in precipitation at Sniezka

description: Measurement of Inorganics in precipitation at Sniezka
DOI: 10.5281/zenodo.15424831
title: TABLE 1 in Efficient All-Life-Cycle Ovitrap for Effective Aedes (Stegomyia) aegypti (Linnaeus, 1762) (Diptera: Culicidae) Control With Low Operational Costs

description: TABLE 1: Laboratory efficacy test of BORA strain and collected natural stain of Ae. aegypti.
Trap prototypesAe. aegypti larvaerep1rep2rep3Efcacy rep4rep5rep6AVGF14BORA100% (0/96)98.86% (1/88)100% (0/89)97.92% (2/96)100% (0/95)98.94% (1/94)99.28% (4/558)F9BORA100% (0/95)100% (0/98)100% (0/90)96.74% (3/92)98.86% (1/88)100% (0/88)99.27% (4/551)
description: Published as part of Haruay, Surat, Piratae, Supawadee, Niamhom, Kanatid, Loyha, Kulchaya, Srisura, Denduangdee, Yaoup, Kongkaew, Pimpabud, Suwat, Netthip, Worasorn & Khampoosa, Panita, 2025, Efficient All-Life-Cycle Ovitrap for Effective Aedes (Stegomyia) aegypti (Linnaeus, 1762) (Diptera: Culicidae) Control With Low Operational Costs, pp. 6 in Psyche: A Journal of Entomology (5543382) 2025 (1) on page 6, DOI: 10.1155/psyc/5543382, http://zenodo.org/record/15391623
DOI: 10.48597/m6hc-um32
title: Measurement of Inorganics in precipitation at Sniezka

description: Measurement of Inorganics in precipitation at Sniezka
DOI: 10.48597/zkdr-ntcd
title: Measurement of Inorganics in precipitation at Sniezka

description: Measurement of Inorganics in precipitation at Sniezka
DOI: 10.4121/8289a903-7ccf-401b-af66-f5b3c9abe4b6.v1
title: Maps underlying the publication: Port City Atlas - Mapping European Port City Territories.

description: This open-access dataset contains 100 high-resolution PDF maps representing European port city territories. Each map corresponds to a specific port city territory located along one of four seas— the Baltic Sea, North Sea, Atlantic Ocean, or Mediterranean Sea. Filenames include the name of the sea and the port’s UN/LOCODE. In some cases, a single territory includes multiple ports or port cities.<br>These maps are derived from the <em>Port City Atlas</em> (2023) and are now made available as a separate dataset to enhance reusability. By providing the maps individually, they become easier to incorporate into a wide range of research, educational, and professional contexts. Users can georeference the maps for GIS applications, use them as base layers in further studies, or combine them with other spatial data for comparative analyses.In addition to the 100 individual territory maps, the dataset includes three edition files:<br><strong>Port_City_Atlas_Overview.pdf</strong> – a geographical overview of all mapped territories.<strong>Port_City_Atlas_Port-City_Territories.pdf</strong> – a complete list of ports and port cities, with corresponding codes.<strong>Port_City_Atlas_Legend.pdf</strong> - a detailed legend including the sources used for the making of the maps.<br>This dataset complements the <em>Port City Atlas</em> and is intended as a reusable resource for anyone interested in port cities, maritime geography, spatial planning, and coastal development.