cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.20506826.v1
title: The early–middle Silurian Delite monzogranite and quartz syenite, East Kunlun Orogenic Belt, NW China: petrogenesis and implications for tectonic evolution of the Proto‑Tethys

description: The tectonic evolution of the Proto‑Tethys in the East Kunlun Orogenic Belt (EKOB) is controversial. Herein, new petrological, whole-rock geochemical, zircon U–Pb geochronological and zircon Lu–Hf isotopic data for early Paleozoic intrusive rocks in the Delite region are reported. LA-ICP-MS zircon U–Pb isotopic data show that the Delite monzogranite and quartz syenite were formed at 437.0 ± 2.9 Ma and 424.8 ± 2.2 Ma, respectively. The Delite monzogranite contains high SiO<sub>2</sub>, Al<sub>2</sub>O<sub>3</sub> and K<sub>2</sub>O and A/CNK ratios, but low MgO and Mg# values (33–38). This study considers that the monzogranite is a typical S-type granite and originated from partial melting of ancient crustal clastic material (metagreywacke) in a syn-collision setting. The quartz syenite is K-rich and Mg-poor, with low Mg# values (36–41), exhibiting geochemical signatures of an alkalic syenite derived from partial melting of basaltic lower crust in a post-collision setting. Combining with the previous work, we suggest that in the middle part of the EKOB the Proto-Tethys closed at <i>ca</i> 437 Ma with a post-collisional setting after <i>ca</i> 427 Ma. KEY POINTSZircons LA-ICP-MS U–Pb isotopic data indicate that the Delite monzogranite and quartz syenite were formed at 437.0 ± 2.9 Ma and 424.8 ± 2.2 Ma, respectively.The Delite monzogranite was formed in a syn-collision setting. The Delite quartz syenite was related to the post-collision setting.It is suggested that the Proto-Tethys closed at <i>ca</i> 437 Ma in the middle part of the EKOB, and the post-collisional setting was after <i>ca</i> 427 Ma in the EKOB. Zircons LA-ICP-MS U–Pb isotopic data indicate that the Delite monzogranite and quartz syenite were formed at 437.0 ± 2.9 Ma and 424.8 ± 2.2 Ma, respectively. The Delite monzogranite was formed in a syn-collision setting. The Delite quartz syenite was related to the post-collision setting. It is suggested that the Proto-Tethys closed at <i>ca</i> 437 Ma in the middle part of the EKOB, and the post-collisional setting was after <i>ca</i> 427 Ma in the EKOB.
DOI: 10.7295/w9cil54885
title: CIL:54885, Cymbidium ensifolium, plant cell
DOI: 10.6084/m9.figshare.21717824.v4
title: Self-supervised learning of materials concepts from crystal structures via deep neural networks

description: Supplementary materials for "Self-supervised learning of materials concepts from crystal structures via deep neural networks Paper GitHub <br> This repository contains the following: pretrained model embeddings of Materials Project data using our model dataset (train, val, test, all=train+val+test)
DOI: 10.5281/zenodo.7274803
title: Spontaneous behaviour is structured by reinforcement without explicit reward

description: <strong>Spontaneous behaviour is structured by reinforcement without explicit reward</strong> Repository containing datasets obtained for Markowitz, Gillis, Jay et al. 2023 Nature https://doi.org/10.1038/s41586-022-05611-2 Github link to related analysis code: https://github.com/dattalab/dopamine-reinforces-spontaneous-behavior <strong>Abstract</strong> Spontaneous animal behaviour is built from action modules that are concatenated by the brain into sequences. However, the neural mechanisms that guide the composition of naturalistic, self-motivated behaviour remain unknown. Here we show that dopamine systematically fluctuates in the dorsolateral striatum (DLS) as mice spontaneously express sub-second behavioural modules, despite the absence of task structure, sensory cues or exogenous reward. Photometric recordings and calibrated closed-loop optogenetic manipulations during open field behaviour demonstrate that DLS dopamine fluctuations increase sequence variation over seconds, reinforce the use of associated behavioural modules over minutes, and modulate the vigour with which modules are expressed, without directly influencing movement initiation or moment-to-moment kinematics. Although the reinforcing effects of optogenetic DLS dopamine manipulations vary across behavioural modules and individual mice, these differences are well predicted by observed variation in the relationships between endogenous dopamine and module use. Consistent with the possibility that DLS dopamine fluctuations act as a teaching signal, mice build sequences during exploration as if to maximize dopamine. Together, these findings suggest a model in which the same circuits and computations that govern action choices in structured tasks have a key role in sculpting the content of unconstrained, high-dimensional, spontaneous behaviour.
DOI: 10.5281/zenodo.7274802
title: Spontaneous behaviour is structured by reinforcement without explicit reward

description: <strong>Spontaneous behaviour is structured by reinforcement without explicit reward</strong> Repository containing datasets obtained for Markowitz, Gillis, Jay et al. 2023 Nature https://doi.org/10.1038/s41586-022-05611-2 Github link to related analysis code: https://github.com/dattalab/dopamine-reinforces-spontaneous-behavior <strong>Abstract</strong> Spontaneous animal behaviour is built from action modules that are concatenated by the brain into sequences. However, the neural mechanisms that guide the composition of naturalistic, self-motivated behaviour remain unknown. Here we show that dopamine systematically fluctuates in the dorsolateral striatum (DLS) as mice spontaneously express sub-second behavioural modules, despite the absence of task structure, sensory cues or exogenous reward. Photometric recordings and calibrated closed-loop optogenetic manipulations during open field behaviour demonstrate that DLS dopamine fluctuations increase sequence variation over seconds, reinforce the use of associated behavioural modules over minutes, and modulate the vigour with which modules are expressed, without directly influencing movement initiation or moment-to-moment kinematics. Although the reinforcing effects of optogenetic DLS dopamine manipulations vary across behavioural modules and individual mice, these differences are well predicted by observed variation in the relationships between endogenous dopamine and module use. Consistent with the possibility that DLS dopamine fluctuations act as a teaching signal, mice build sequences during exploration as if to maximize dopamine. Together, these findings suggest a model in which the same circuits and computations that govern action choices in structured tasks have a key role in sculpting the content of unconstrained, high-dimensional, spontaneous behaviour.
DOI: 10.6084/m9.figshare.21919029
title: Fischer et. al. 2023 Supplemental Data

description: Contains supplemental figures 1, 2, and 3 for the publication " The oncogenic function of PLAGL2 is mediated via ASCL2 and IGF2 and a Wnt-independent mechanism in colorectal cancer"
DOI: 10.7278/s50d-pxd0-7pd1
title: Data and code for: Firpo et al., A multi-analyte serum biomarker panel for early detection of pancreatic adenocarcinoma
DOI: 10.25919/21z7-6s78
title: Parkes observations for project PX500 semester 2022OCTS_17

description: This proposal relates to time purchased by the Chinese Academy of Sciences for Parkes follow-up confirmation and timing of FAST discoveries. As the observing time has been purchased this proposal (and the related PX501) does not require TAC grading. The primary reason for submitting a proposal is to ensure an outreach statement and that the proposal is entered into OPAL for the data archive to access. The Chinese team have two time requests. The time scheduled for the first, relating to this proposal, will be allocated in blocks of 24 hours and the data will become available in the data archive with an 18 month embargo period. The second type of time will be scheduled in shorter blocks and the data archived with a 10 year embargo.
DOI: 10.25493/nmd2-2fw
title: The Swedish National Facility for Magnetoencephalography Parkinson's Disease Dataset (v1.0)

description: Parkinson's disease (PD) is characterised by a loss of dopamine and dopaminergic cells. The consequences hereof are widespread network disturbances in brain function. It is still an ongoing topic of investigation how these disease-related changes in brain function manifest in PD relate to clinical symptoms in the motor-, cognitive-, and emotional domains. We present The Swedish National Facility for Magnetoencephalography Parkinson's Disease Dataset (NatMEG-PD) as an Open Science contribution to identify the functional neural signatures of Parkinson's disease and contribute to diagnosis and treatment. The dataset consists of whole-head magnetoencephalographic (MEG) recordings from 66 well-characterized PD patients and 68 age- and sex-matched healthy controls. NatMEG-PD was acquired for investigating beta-band activity and contains resting-state MEG, MEG during an active movement task, and MEG during passive movements. The data includes anonymised MRI for source analysis and clinical scores for motor, cognitive and depressive symptoms. MEG data is rich in nature and can be used to explore numerous kinds of functional brain changes in PD. By sharing these data, we hope other researchers will contribute to advancing our understanding of the relationship between brain activity and disease state or symptoms.
DOI: 10.34740/kaggle/dsv/4870129
title: OntoUML/UFO Catalog
DOI: 10.5281/zenodo.7548793
title: Dataset for publication: ExTrack characterizes transition kinetics and diffusion in noisy single-particle tracks

description: Dataset related to article Simon, F., J.-Y. Tinevez, S. van Teeffelen (2023) ExTrack characterizes transition kinetics and diffusion in noisy single-particle tracks. Journal of Cell Biology Movies: example movies for PBP1b and RodZ. G0 = 370% expression level, G1 = 130% expression level, G2 = 30% expression level. Tracks: resulting tracks from the replicates, each replicate is composed of several movies (one xml file per movie). G0 = 370% expression level, G1 = 130% expression level, G2 = 30% expression level. See the material and method section for more details on the experimental conditions and the analysis pipeline.<br>
description: Additional funding: Mairie de Paris "Emergence(s)" program to SVT, a NSERC Discovery Grant to SVT, a FRQS Salary Fellowship to SVT, as well as support from the Volkswagen Foundation to SVT.
DOI: 10.5281/zenodo.7548792
title: Dataset for publication: ExTrack characterizes transition kinetics and diffusion in noisy single-particle tracks

description: Dataset related to article Simon, F., J.-Y. Tinevez, S. van Teeffelen (2023) ExTrack characterizes transition kinetics and diffusion in noisy single-particle tracks. Journal of Cell Biology Movies: example movies for PBP1b and RodZ. G0 = 370% expression level, G1 = 130% expression level, G2 = 30% expression level. Tracks: resulting tracks from the replicates, each replicate is composed of several movies (one xml file per movie). G0 = 370% expression level, G1 = 130% expression level, G2 = 30% expression level. See the material and method section for more details on the experimental conditions and the analysis pipeline.<br>
description: Additional funding: Mairie de Paris "Emergence(s)" program to SVT, a NSERC Discovery Grant to SVT, a FRQS Salary Fellowship to SVT, as well as support from the Volkswagen Foundation to SVT.
DOI: 10.6084/m9.figshare.21919809
title: Nonreusable Workflows

description: This dataset contain the agreement analysis with the nonreusable workflows
DOI: 10.6084/m9.figshare.21919809.v1
title: Nonreusable Workflows

description: This dataset contain the agreement analysis with the nonreusable workflows
DOI: 10.5066/p9gust4q
title: Invasive Plant Cover in the Mojave Desert, 2009 - 2013 (ver. 2.0, April 2021)

description: We assessed the impacts of co-occurring invasive plant species on fire regimes and postfire native communities in the Mojave Desert, western USA by analyzing the distribution and co-occurrence patterns of three invasive annual grasses known to alter fuel conditions and community structure: Red Brome (Bromus rubens), Cheatgrass (Bromus tectorum), and Mediterranean grass (Schismus spp.: Schismus arabicus and Schismus barbatus), and an invasive forb, red stemmed filaree (Erodium cicutarium) which can dominate postfire sites. The data provide the geographic location and abundance (percent cover) of the four invasive taxa throughout the Mojave Desert. We developed species distribution models (SDMs) for each of the four taxa and analyzed field plot data to assess the relationship between invasives and fire frequency, years postfire, and the impacts on postfire native herbaceous diversity. These data support the following publication: Underwood, E.C., Klinger, R.C. and Brooks M.L., 2019, Effects of invasive plants on fire regimes and postfire vegetation diversity in an arid ecosystem, Ecology and Evolution, 00:1-15. https://doi.org/10.1002/ece3.5650
DOI: 10.5066/p96r8mzq
title: Mangrove Elevation and Species' Responses to Sea-level Rise Across Pohnpei, Federated States of Micronesia (ver. 1.1, December 2021)

description: Future sea-level rise poses a risk to mangrove forests. To better understand potential vulnerability, we developed a new numerical model of soil elevation for mangrove forests. We used the model to generate projections of elevation and mangrove forest composition change under four sea-level rise scenarios through 2100 (37, 52, 67, and 117 cm by 2100). We employed a data-driven modeling approach, utilizing new and existing data to inform model parameters. The model was calibrated using dated soil cores and used a spin-up period to establish the soil column prior to future projections. Additional field data, including water level monitoring and elevation surveys, were used to estimate the initial elevation of the mangrove forest relative to mean sea level, and forest inventory plots were used to estimate mangrove productivity. Finally, we used a Monte Carlo simulation to incorporate variation in annual sea level due to the El Nino-Southern Oscillation. These data support the following publication: Buffington, K.J., MacKenzie, R.A., Carr, J.A., Apwong, M., Krauss, K.W., and Thorne, K.M., 2021, Mangrove species' response to sea-level rise across Pohnpei, Federated States of Micronesia: U.S. Geological Survey Open-File Report 2021-1002, 44 p., https://doi.org/10.3133/ofr20211002.
DOI: 10.5281/zenodo.7528124
title: GDL360 data in the Arctic (2019-2021)

description: These are personal GLD360 lightning data requested from VAISALA. If you want to download, please contact chris.vagasky@vaisala.co The original file is gld-stroke-count-m0p1.asc. Coverage: 60N-90N, -180W-180E, 2019-2021. Other files are generated by my own Python scripts: gld360_daily.py and gld360_summer.py.
DOI: 10.5281/zenodo.7528016
title: GDL360 data in the Arctic (2019-2021)

description: These are personal GLD360 lightning data requested from VAISALA. If you want to download, please contact chris.vagasky@vaisala.co The original file is gld-stroke-count-m0p1.asc. Coverage: 60N-90N, -180W-180E, 2019-2021. Other files are generated by my own Python scripts: gld360_daily.py and gld360_summer.py.
DOI: 10.26186/147636
title: Liquid Fuel Terminals

description: The Liquid Fuel Terminals presents the spatial locations; in point and polygon format, all known liquid fuel terminals within Australia.
DOI: 10.26186/147635
title: Petrol Stations

description: The Petrol Stations Dataset presents the spatial locations; in point format, all known petrol stations within Australia.
DOI: 10.6084/m9.figshare.21919851.v1
title: ListofPapers_AIOps_Workshop.xlsx

description: List of 44 selected papers in the "SoK: Machine Learning for Continuous Integration" study Workshop title: The ICSE'23 Workshop on Cloud Intelligence / AIOps
DOI: 10.6084/m9.figshare.21919851
title: ListofPapers_AIOps_Workshop.xlsx

description: List of 44 selected papers in the "SoK: Machine Learning for Continuous Integration" study Workshop title: The ICSE'23 Workshop on Cloud Intelligence / AIOps
DOI: 10.26186/147634
title: Liquid Fuel Depots

description: The Liquid Fuel Depots Database presents the spatial locations; in point and polygon format, all known liquid fuel depots within Australia.
DOI: 10.26186/147633
title: Liquid Fuel Refineries

description: The Liquid Fuel Refineries Database presents the spatial locations; in point and polygon format, all known liquid fuel refineries within Australia.
DOI: 10.48531/jbru.calmip/d0pwa8/f0bubw
title: 10. NI_BS_Eutrophication marine.tab

description: :unav
DOI: 10.48531/jbru.calmip/d0pwa8/rylatq
title: 11. ND_BS_Eutrophication terrestrial.tab

description: :unav
DOI: 10.48531/jbru.calmip/d0pwa8/yla5ld
title: LCI_FT.tab

description: :unav
DOI: 10.48531/jbru.calmip/d0pwa8/ea4ekx
title: 12. LD_BS_Ecotoxicity freshwater.tab

description: :unav
DOI: 10.48531/jbru.calmip/d0pwa8/hjrfgk
title: 8. LD_BS_Acidification.tab

description: :unav
DOI: 10.48531/jbru.calmip/d0pwa8/lx9roi
title: RF_LD.tab

description: :unav
DOI: 10.48531/jbru.calmip/d0pwa8/ytstcf
title: 13. NI_BS_Land use.tab

description: :unav
DOI: 10.48531/jbru.calmip/d0pwa8/zqbcgx
title: NI_GSA.tab

description: :unav
DOI: 10.48531/jbru.calmip/d0pwa8/djcbok
title: 5. LI_BS_Particulate matter.tab

description: :unav
DOI: 10.48531/jbru.calmip/d0pwa8/gdnghu
title: 7. LI_BS_Human toxicity cancer.tab

description: :unav
DOI: 10.48531/jbru.calmip/d0pwa8/l80xjx
title: 12. LI_BS_Ecotoxicity freshwater.tab

description: :unav
DOI: 10.48531/jbru.calmip/d0pwa8/qdr2gc
title: LCI_Battery manufacturing.xlsx

description: :unav
DOI: 10.48531/jbru.calmip/d0pwa8/wtl735
title: 4. LD_BS_Photochemical O3 formation.tab

description: :unav
DOI: 10.48531/jbru.calmip/d0pwa8/z1fqgi
title: 15. LI_BS_Resource use, fossils.tab

description: :unav
DOI: 10.48531/jbru.calmip/d0pwa8/9oyfor
title: 9. NI_BS_Eutrophication freshwater.tab

description: :unav
DOI: 10.48531/jbru.calmip/d0pwa8/amfwnp
title: 16. LI_BS_Resource use, minerals and metals.tab

description: :unav
DOI: 10.48531/jbru.calmip/d0pwa8/hpe76c
title: 2. LI_BS_Ozone depletion.tab

description: :unav
DOI: 10.48531/jbru.calmip/d0pwa8/lkjgkd
title: 1. LI_BS_Climate change.tab

description: :unav
DOI: 10.48531/jbru.calmip/d0pwa8/sytgqa
title: LCI_HEFA.tab

description: :unav
DOI: 10.48531/jbru.calmip/d0pwa8/vr7ioh
title: 11. LI_BS_Eutrophication terrestrial.tab

description: :unav
DOI: 10.48531/jbru.calmip/d0pwa8/2acubf
title: 7. ND_BS_Human toxicity cancer.tab

description: :unav
DOI: 10.48531/jbru.calmip/d0pwa8/71tvrp
title: LI_GSA.tab

description: :unav
DOI: 10.48531/jbru.calmip/d0pwa8/kq0yiy
title: 8. LI_BS_Acidification.tab

description: :unav
DOI: 10.48531/jbru.calmip/d0pwa8/nx5xs4
title: LD_SA-2.tab

description: :unav
DOI: 10.48531/jbru.calmip/d0pwa8/psya1w
title: LCI_heat source 2045.xlsx

description: :unav
DOI: 10.48531/jbru.calmip/d0pwa8/5acukd
title: 13. ND_BS_Land use.tab

description: :unav
DOI: 10.48531/jbru.calmip/d0pwa8/rrpwvk
title: LCI_add infra..tab

description: :unav
DOI: 10.48531/jbru.calmip/d0pwa8/rt5jbq
title: RF_1 MJ PRODUCED.tab

description: :unav
DOI: 10.48531/jbru.calmip/d0pwa8/tilt5w
title: 15. ND_BS_Resource use, fossils.tab

description: :unav
DOI: 10.48531/jbru.calmip/d0pwa8/xx1syw
title: CF_co-products.xlsx

description: :unav
DOI: 10.48531/jbru.calmip/d0pwa8/y1qyb2
title: 14. NI_BS_Water use.tab

description: :unav
DOI: 10.48531/jbru.calmip/d0pwa8/ax51iz
title: 2. ND_BS_Ozone depletion.tab

description: :unav
DOI: 10.48531/jbru.calmip/d0pwa8/cfhup5
title: 16. NI_BS_Resource use, minerals and metals.tab

description: :unav
DOI: 10.48531/jbru.calmip/d0pwa8/gm0se7
title: RF_ND.tab

description: :unav
DOI: 10.48531/jbru.calmip/d0pwa8/n2dicd
title: 8. ND_BS_Acidification.tab

description: :unav
DOI: 10.48531/jbru.calmip/d0pwa8/obcfgx
title: ND_GSA.tab

description: :unav
DOI: 10.48531/jbru.calmip/d0pwa8/oepcdu
title: 2. NI_BS_Ozone depletion.tab

description: :unav
DOI: 10.48531/jbru.calmip/d0pwa8/7lqdrb
title: LCI_EoL.tab

description: :unav
DOI: 10.48531/jbru.calmip/d0pwa8/c4c2bn
title: 9. ND_BS_Eutrophication freshwater.tab

description: :unav
DOI: 10.48531/jbru.calmip/d0pwa8/dwqdkx
title: 15. LD_BS_Resource use, fossils.tab

description: :unav
DOI: 10.48531/jbru.calmip/d0pwa8/n1zmn6
title: 1. ND_BS_Climate change.tab

description: :unav
DOI: 10.48531/jbru.calmip/d0pwa8/v4i7wt
title: ND_SA-2.tab

description: :unav
DOI: 10.48531/jbru.calmip/d0pwa8/zkzlq9
title: 13. LI_BS_Land use.tab

description: :unav
DOI: 10.48531/jbru.calmip/d0pwa8/5kvbiw
title: 12. ND_BS_Ecotoxicity freshwater.tab

description: :unav
DOI: 10.48531/jbru.calmip/d0pwa8/fms7mj
title: 12. NI_BS_Ecotoxicity freshwater.tab

description: :unav
DOI: 10.48531/jbru.calmip/d0pwa8/mhpo31
title: 6. NI_BS_Human toxicity non-cancer.tab

description: :unav
DOI: 10.48531/jbru.calmip/d0pwa8/ttxfov
title: 9. LI_BS_Eutrophication freshwater.tab

description: :unav
DOI: 10.48531/jbru.calmip/d0pwa8/2uxabo
title: 10. LI_BS_Eutrophication marine.tab

description: :unav
DOI: 10.48531/jbru.calmip/d0pwa8/aiunl7
title: LCI_plane manufac..tab

description: :unav
DOI: 10.48531/jbru.calmip/d0pwa8/eqwae4
title: LCI_operation 2045.tab

description: :unav
DOI: 10.48531/jbru.calmip/d0pwa8/kxh6pw
title: 10. ND_BS_Eutrophication marine.tab

description: :unav
DOI: 10.48531/jbru.calmip/d0pwa8/m5blrs
title: 14. ND_BS_Water use.tab

description: :unav
DOI: 10.48531/jbru.calmip/d0pwa8/v4tyev
title: 3. LD_BS_Ionising radiation.tab

description: :unav
DOI: 10.48531/jbru.calmip/d0pwa8/1r9pbp
title: 7. LD_BS_Human toxicity cancer.tab

description: :unav
DOI: 10.48531/jbru.calmip/d0pwa8/gi5bq5
title: LI_SA-2.tab

description: :unav
DOI: 10.48531/jbru.calmip/d0pwa8/lv94qe
title: LCI_fossil kerosene produc..tab

description: :unav
DOI: 10.48531/jbru.calmip/d0pwa8/n3lpdh
title: 4. NI_BS_Photochemical O3 formation.tab

description: :unav
DOI: 10.48531/jbru.calmip/d0pwa8/w6bq3z
title: 5. ND_BS_Particulate matter.tab

description: :unav
DOI: 10.48531/jbru.calmip/d0pwa8/xxlbaf
title: 5. LD_BS_Particulate matter.tab

description: :unav
DOI: 10.48531/jbru.calmip/d0pwa8/4vk5wm
title: LCI_data_manufac..tab

description: :unav
DOI: 10.48531/jbru.calmip/d0pwa8/989ucz
title: 3. ND_BS_Ionising radiation.tab

description: :unav
DOI: 10.48531/jbru.calmip/d0pwa8/kojsx4
title: 16. ND_BS_Resource use, minerals and metals.tab

description: :unav
DOI: 10.48531/jbru.calmip/d0pwa8/rjqfuq
title: 7. NI_BS_Human toxicity cancer.tab

description: :unav
DOI: 10.48531/jbru.calmip/d0pwa8/twvzkn
title: 11. LD_BS_Eutrophication terrestrial.tab

description: :unav
DOI: 10.48531/jbru.calmip/d0pwa8/v6cjve
title: LCI_avoided & induced.tab

description: :unav
DOI: 10.48531/jbru.calmip/d0pwa8/9tcfjd
title: 15. NI_BS_Resource use, fossils.tab

description: :unav
DOI: 10.48531/jbru.calmip/d0pwa8/jhxuc1
title: 1. NI_BS_Climate change.tab

description: :unav
DOI: 10.48531/jbru.calmip/d0pwa8/njpv3s
title: NI_SA-2.tab

description: :unav
DOI: 10.48531/jbru.calmip/d0pwa8/oe2ytl
title: 13. LD_BS_Land use.tab

description: :unav
DOI: 10.48531/jbru.calmip/d0pwa8/t1vath
title: LCI_Ethanol-to-Jet.tab

description: :unav
DOI: 10.48531/jbru.calmip/d0pwa8/tzvz0l
title: LCI_Hydrogen water electrolysis.xlsx

description: :unav
DOI: 10.48531/jbru.calmip/d0pwa8/klxc0k
title: 5. NI_BS_Particulate matter.tab

description: :unav
DOI: 10.48531/jbru.calmip/d0pwa8/n6ahj3
title: 11. NI_BS_Eutrophication terrestrial.tab

description: :unav
DOI: 10.48531/jbru.calmip/d0pwa8/rv4oup
title: CF_substrates.tab

description: :unav
DOI: 10.48531/jbru.calmip/d0pwa8/stwzco
title: 6. LI_BS_Human toxicity non-cancer.tab

description: :unav
DOI: 10.48531/jbru.calmip/d0pwa8/w8ktbs
title: 8. NI_BS_Acidification.tab

description: :unav
DOI: 10.48531/jbru.calmip/d0pwa8/1fb14r
title: 3. NI_BS_Ionising radiation.tab

description: :unav
DOI: 10.48531/jbru.calmip/d0pwa8/ikfqz4
title: 16. LD_BS_Resource use, minerals and metals.tab

description: :unav
DOI: 10.48531/jbru.calmip/d0pwa8/kyuvwb
title: 4. LI_BS_Photochemical O3 formation.tab

description: :unav
DOI: 10.48531/jbru.calmip/d0pwa8/y1ounc
title: LD_GSA.tab

description: :unav