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GeoERA Minerals projects have produced data aimed at supporting Europe’s minerals sector and to assist the European Commission to realise its goals for raw materials. Data has been compiled on mineral occurrences and mineral provinces across Europe, in particular, areas with potential to host Critical Raw Materials. Anecdotal evidence from the minerals sector provides an indication of the likelihood of exploration leading to mine development. For every 1,000 mineral showings examined, only 100 may receive further exploration work and of those 100, only 10 may warrant more detailed sampling either through trenching, drilling or other means and of those 10 only 1 may proceed to an evaluation through a full feasibility study which itself has only 50% chance of being positive. Following this, any project for which a mine proposal is made must undergo a full evaluation and permitting by authorities including full public consultation. The proposal may or may not pass this scrutiny. In terms of a schedule, the generally accepted minimum time frame from discovery to production is 10 years and usually much more, up to 20 years. info:eu-repo/semantics/publishedVersion

Mineral prospectivity mapping (MPM) aims at outlining areas with the highest mineralization hosting likelihood. The outcome of data-driven MPM approach highly depend on the spatial resolution and precision of the input cartographic datasets. Besides, the geological map has the inherent specificity of displaying 3D structures on a 2D surface map view; some structural configurations can usually lead to a misestimation of the relative proportion of the geological units, the faults or other features displayed in the map. From the Cell-Based Association (CBA), we develop here a new approach – the “Disc-Based Association” (DBA) – analyzing neighboring associations of cartographic features. First, disks entities are generated over a regular node grid covering the study area. Each disk discretize the overlapped data layers by integrating their information into a multivariate spectrum. Then, a Random Forest (RF) predictive model classify the multivariate spectrum from both mineralized nodes (e.g. whose associated disk contain a mineralization) and nonmineralized ones. As mineral concentration processes are inherently rare natural phenomena, we argue that all nodes except the mineralized one can be regarded as non-mineralized and thus used in the classification process. Predictivity scores are computed over the area based on the multivariate spectrum classification. This approach could allow the identification of several signature spectra associated to mineralization; which could be interpreted as several distinct metallotects / mineralization processes forming deposits in the study area. To test and evaluate its consistency, this new methodology is applied to prospectivity mapping of Sb along the Ibero-Armorican Arc (Western European Variscan Range). We infer this new data-driven approach applied to natural cases will improve prospectivity mapping and automatic recognition of new metallotects while giving new insights on the genetic processes forming deposits

International audience; Geological processes leading to lithium-rich rare metal (RM) pegmatites and granites remain poorly constrained. To acknowledge geological processes related to Li-rich melt generation, we applied complementary approaches in the Montagne Noire (MN) and in the Monts d’Ambazac (MA). In the MN, the mineralogy of pegmatite clusters depends of the nature of the migmatitic host rock. Geostatistical studies demonstrate that pegmatite clusters are scattered and do not appear randomly. Lithium isotopes tracing (7Li, ‰) show that the mineralized pegmatites are not fractionated and display likely a crustal signature. Rb/Sr dating on lepidolites shows that their emplacements are synchronous with regional partial melting. In MA, structural studies and 3D modelling suggest the presence of an anatectic dome masked by a granite. Geostatistic studies demonstrate that emplacement of pegmatite clusters are controlled by normal faulting. Lithium isotopes show that the mineralized pegmatites are not fractionated and have a crustal signature. Rb/Sr dating on lepidolites show that pegmatite emplacement postdates the granite emplacement.A compilation of RM intrusions in France has been conducted in the present work and shows that: i) they are usually located in or along antiformal structures; ii) the core of antiformal structures consists of migmatites, amphibolite-grade metasediments or anatectic granites; iii) RM granites are spatially associated with major faults; iv) Li-rich RM pegmatites are absent in the case of LP-HT partial melting. These results point to an anatectic origin of RM pegmatite fields with a strong tectonic control of the intrusions near migmatitic domes. Then, the presence of RM pegmatite indicates presence of an underlying partial melting zone which should be more distal in the case of a granite. Moreover, the absence of Li-rich intrusions in the case of LP melting conditions suggests that pressure has a key role in magma enrichment processes during partial melting.

D.5.6 is the last deliverable of the work package 5 of the FRAME project. The two previous deliverables D5.4 and the D5.5 report the deliverable of the final work package data and products. All these three deliverables are related to products and data where the main results are presented on the web only. D5.6 with the title: Provide INSPIRE-compliant harmonised data on deposits and prospects of natural graphite, lithium and cobalt aims to deliver the data collected by the work package, to the GeoEra consortium and to upload the raw data, as comma separated file (CSV) format, to the European Geological Data Infrastructure (EGDI). The CSV file can then be integrated and downloaded to be used individually or with other data sets and web applications. Data is harmonised according to INSPIRE data specifications as far as it is possible. Since the main product of this deliverable is the release of the raw data and its availability on the net, this deliverable will be very concise. N/A

Submitted by CV Deposit (cvuser@cienciavitae.pt) on 2021-09-13T11:50:35Z No. of bitstreams: 2 FRAME_D_3_5_final.pdf: 6439256 bytes, checksum: 303711d5cde1dc2cb8bc6882f333ea40 (MD5) package.zip: 6065868 bytes, checksum: 996115a909304f8b016820e737dbfc26 (MD5) Approved for entry into archive by Paula Candeias (paula.candeias@lneg.pt) on 2021-11-04T10:05:26Z (GMT) No. of bitstreams: 2 package.zip: 6065868 bytes, checksum: 996115a909304f8b016820e737dbfc26 (MD5) FRAME_D_3_5_final.pdf: 6439256 bytes, checksum: 303711d5cde1dc2cb8bc6882f333ea40 (MD5) Made available in DSpace on 2021-11-04T10:05:27Z (GMT). No. of bitstreams: 2 package.zip: 6065868 bytes, checksum: 996115a909304f8b016820e737dbfc26 (MD5) FRAME_D_3_5_final.pdf: 6439256 bytes, checksum: 303711d5cde1dc2cb8bc6882f333ea40 (MD5) Previous issue date: 2021-06 N/A

Submitted by CV Deposit (cvuser@cienciavitae.pt) on 2021-09-13T11:48:15Z No. of bitstreams: 2 FRAME_D5.5_final.pdf: 468653 bytes, checksum: fa01c103e6b61cd80768a62ddcade543 (MD5) package.zip: 453344 bytes, checksum: 87ceb4faf30ba72419cc4688193ec666 (MD5) Approved for entry into archive by Paula Candeias (paula.candeias@lneg.pt) on 2021-11-03T16:03:11Z (GMT) No. of bitstreams: 2 package.zip: 453344 bytes, checksum: 87ceb4faf30ba72419cc4688193ec666 (MD5) FRAME_D5.5_final.pdf: 468653 bytes, checksum: fa01c103e6b61cd80768a62ddcade543 (MD5) Made available in DSpace on 2021-11-03T16:03:11Z (GMT). No. of bitstreams: 2 package.zip: 453344 bytes, checksum: 87ceb4faf30ba72419cc4688193ec666 (MD5) FRAME_D5.5_final.pdf: 468653 bytes, checksum: fa01c103e6b61cd80768a62ddcade543 (MD5) Previous issue date: 2021-05 N/A

Submitted by CV Deposit (cvuser@cienciavitae.pt) on 2021-09-13T11:47:13Z No. of bitstreams: 2 FRAME_D5.4_final.pdf: 590080 bytes, checksum: 5b38b8abf35d9ff8197bce62858171f2 (MD5) package.zip: 578708 bytes, checksum: ccd0f68836f2e6932e34cb7721681281 (MD5) Approved for entry into archive by Paula Candeias (paula.candeias@lneg.pt) on 2021-11-03T15:08:00Z (GMT) No. of bitstreams: 2 package.zip: 578708 bytes, checksum: ccd0f68836f2e6932e34cb7721681281 (MD5) FRAME_D5.4_final.pdf: 590080 bytes, checksum: 5b38b8abf35d9ff8197bce62858171f2 (MD5) Made available in DSpace on 2021-11-03T15:08:00Z (GMT). No. of bitstreams: 2 package.zip: 578708 bytes, checksum: ccd0f68836f2e6932e34cb7721681281 (MD5) FRAME_D5.4_final.pdf: 590080 bytes, checksum: 5b38b8abf35d9ff8197bce62858171f2 (MD5) Previous issue date: 2021-05 N/A

International audience; This work presents the preliminary results of geochemistry of mafic intrusions (diabase dykes) and their relationship with antimony mineralization in the Central-Iberian Zone (Variscan Belt). Two different areas were studied, the Almadén (Al) and the San Antonio (SA) areas.Both macroscopic and microscopic observations show that mafic dykes are mainly composed by clinopyroxene, plagioclase, Fe-Ti oxides and to a lesser extent of calcite and sulphides (pyrite, chalcopyrite and pyrrhotite). These samples are altered presenting chlorite and epidote as alteration minerals. Pyroxene is sometimes altered to amphibole.Whole rock geochemistry analyses from 20 samples show a difference between SA and Al dolerites. The first fall into the classical basalt field whereas the second fall into the alkali basalt field according to the Zr/TiO2 vs Nb/Y diagram. The tectonic setting for the SA samples coincides with the volcanic arc setting whereas the samples from Al fall into the within plate magmatism. Primitive mantle normalized diagrams display high negative anomalies in Rb, K, with small negative anomalies in Nb and Ta for both SA and Al. High positive anomalies for both areas in Cs, Pb (especially for SA) and Li accompanied by small positive anomalies in P and Ti can be observed. Dolerites from Al are more enriched in Ba, Th, U, Nb, Ba, La, Ce, Sr, P, Nd, Sn, Zr, Hf than SA. All samples are depleted in HREE and enriched in LREE. Anomalies in Rb, Nb, Ta and Li may be related with crustal contamination. Pb anomalies could be associated with assimilation of country rocks, especially marine sediments, this anomaly is also related to subduction processes. Positive P and Ti anomalies of some samples is due to the apatite and ilmenite enrichment respectively. Negative anomalies in K could be associated with presence of phlogopite in the source. Rare Earth Elements contents are compatible with the presence of garnet in the source and low degree of partial melting, this is consistent with the correlation between La/Sm vs Gd/Yb and La/Sm vs Rb. Trace element ratios such as Th/La (0,10 for SA) and (0,09 for Al) suggest an enriched mantle source.Some of these mafic intrusions were collected near antimony mineralization whereas the other are located at distance but in the same swarm of mafic dykes. A spatial and genetic link between Sb mineralization and mafic magmatism has been proposed in other parts of the Variscan Belt, especially in the Armorican Massif.The source of these Sb mineralization could be related to an enriched mantle with crustal contamination. The geochemical link between mafic magmatism and Sb mineralization and their source in the Central Iberian Zone is still a matter of study.AcknowledgmentsThis work was funded by the ANR (ANR-19-MIN2-0002-01), the AEI (MICIU/AEI/REF.: PCI2019-103779) and author’s institutions in the framework of the ERA-MIN2 AUREOLE project, as well as by Project SBPLY/17/180501/000273, Consejería de Educación, Regional Government of Castilla-La Mancha, Spain.