📥 Inbound Notifications 669

Time â–¾ Id From To Type Content
2026-04-05 07:00:19 urn:uuid:e5ff9649-460c-4ea0-879f-8a809df47307 https://datalake.inria.fr https://inria.hal.science ["Offer","coar-notify:ReviewAction"]
{
    "@context": [
        "https://www.w3.org/ns/activitystreams",
        "https://purl.org/coar/notify"
    ],
    "id": "urn:uuid:e5ff9649-460c-4ea0-879f-8a809df47307",
    "type": [
        "Offer",
        "coar-notify:ReviewAction"
    ],
    "actor": {
        "id": "https://datalake.inria.fr",
        "type": "Service",
        "name": "Inria DataLake"
    },
    "origin": {
        "id": "https://datalake.inria.fr",
        "type": "Service",
        "inbox": "https://prod-datadcis-api.inria.fr/coar/inbox"
    },
    "target": {
        "id": "https://inria.hal.science",
        "type": "Service",
        "inbox": "https://inbox.hal.science"
    },
    "object": {
        "id": "https://hal.science/hal-04342432v1",
        "ietf:cite-as": null,
        "sorg:citation": {
            "@context": "https://doi.org/10.5063/schema/codemeta-2.0",
            "type": "SoftwareSourceCode",
            "name": "SAS",
            "codeRepository": null,
            "referencePublication": null
        },
        "mentionType": "software",
        "mentionContext": [
            "Statistical analyses were performed with SAS software (SAS Institute, North Carolina, USA, version 9.4)."
        ]
    }
}
2026-04-05 07:00:14 urn:uuid:c290024e-3ac9-4b50-9632-6a55c11d8752 https://datalake.inria.fr https://inria.hal.science ["Offer","coar-notify:ReviewAction"]
{
    "@context": [
        "https://www.w3.org/ns/activitystreams",
        "https://purl.org/coar/notify"
    ],
    "id": "urn:uuid:c290024e-3ac9-4b50-9632-6a55c11d8752",
    "type": [
        "Offer",
        "coar-notify:ReviewAction"
    ],
    "actor": {
        "id": "https://datalake.inria.fr",
        "type": "Service",
        "name": "Inria DataLake"
    },
    "origin": {
        "id": "https://datalake.inria.fr",
        "type": "Service",
        "inbox": "https://prod-datadcis-api.inria.fr/coar/inbox"
    },
    "target": {
        "id": "https://inria.hal.science",
        "type": "Service",
        "inbox": "https://inbox.hal.science"
    },
    "object": {
        "id": "https://hal.science/hal-05548982v1",
        "ietf:cite-as": null,
        "sorg:citation": {
            "@context": "https://doi.org/10.5063/schema/codemeta-2.0",
            "type": "SoftwareSourceCode",
            "name": "GROMACS",
            "codeRepository": null,
            "referencePublication": null
        },
        "mentionType": "software",
        "mentionContext": [
            "We perform MD simulations at 300 K in the N V T ensemble    , with the SPC water force field    and OPLS-AA    for carbon using the GROMACS 2019.4 code    , with a timestep of 1 fs."
        ]
    }
}
2026-04-05 07:00:13 urn:uuid:c919f4b4-97db-462c-b14f-aaecdd6a7692 https://datalake.inria.fr https://inria.hal.science ["Offer","coar-notify:ReviewAction"]
{
    "@context": [
        "https://www.w3.org/ns/activitystreams",
        "https://purl.org/coar/notify"
    ],
    "id": "urn:uuid:c919f4b4-97db-462c-b14f-aaecdd6a7692",
    "type": [
        "Offer",
        "coar-notify:ReviewAction"
    ],
    "actor": {
        "id": "https://datalake.inria.fr",
        "type": "Service",
        "name": "Inria DataLake"
    },
    "origin": {
        "id": "https://datalake.inria.fr",
        "type": "Service",
        "inbox": "https://prod-datadcis-api.inria.fr/coar/inbox"
    },
    "target": {
        "id": "https://inria.hal.science",
        "type": "Service",
        "inbox": "https://inbox.hal.science"
    },
    "object": {
        "id": "https://hal.science/pasteur-05011572v1",
        "ietf:cite-as": null,
        "sorg:citation": {
            "@context": "https://doi.org/10.5063/schema/codemeta-2.0",
            "type": "SoftwareSourceCode",
            "name": "BLAST (Basic Local Alignment Search Tool",
            "codeRepository": null,
            "referencePublication": null
        },
        "mentionType": "software",
        "mentionContext": [
            "F17 fimbriae are specific to E. coli and a BLAST (Basic Local Alignment Search Tool) analysis on the Uniprot database (uniprot.org"
        ]
    }
}
2026-04-05 07:00:11 urn:uuid:df95d7e6-c47f-461f-9883-e8e9c93c2066 https://datalake.inria.fr https://inria.hal.science ["Offer","coar-notify:ReviewAction"]
{
    "@context": [
        "https://www.w3.org/ns/activitystreams",
        "https://purl.org/coar/notify"
    ],
    "id": "urn:uuid:df95d7e6-c47f-461f-9883-e8e9c93c2066",
    "type": [
        "Offer",
        "coar-notify:ReviewAction"
    ],
    "actor": {
        "id": "https://datalake.inria.fr",
        "type": "Service",
        "name": "Inria DataLake"
    },
    "origin": {
        "id": "https://datalake.inria.fr",
        "type": "Service",
        "inbox": "https://prod-datadcis-api.inria.fr/coar/inbox"
    },
    "target": {
        "id": "https://inria.hal.science",
        "type": "Service",
        "inbox": "https://inbox.hal.science"
    },
    "object": {
        "id": "https://hal.science/hal-01604983v1",
        "ietf:cite-as": null,
        "sorg:citation": {
            "@context": "https://doi.org/10.5063/schema/codemeta-2.0",
            "type": "SoftwareSourceCode",
            "name": "MAFFT",
            "codeRepository": null,
            "referencePublication": null
        },
        "mentionType": "software",
        "mentionContext": [
            "Their alignment was accomplished using MAFFT v. 7                         with default option settings."
        ]
    }
}
2026-04-05 07:00:11 urn:uuid:b3f474ba-0164-461e-ade3-9913cdd67bbd https://datalake.inria.fr https://inria.hal.science ["Offer","coar-notify:ReviewAction"]
{
    "@context": [
        "https://www.w3.org/ns/activitystreams",
        "https://purl.org/coar/notify"
    ],
    "id": "urn:uuid:b3f474ba-0164-461e-ade3-9913cdd67bbd",
    "type": [
        "Offer",
        "coar-notify:ReviewAction"
    ],
    "actor": {
        "id": "https://datalake.inria.fr",
        "type": "Service",
        "name": "Inria DataLake"
    },
    "origin": {
        "id": "https://datalake.inria.fr",
        "type": "Service",
        "inbox": "https://prod-datadcis-api.inria.fr/coar/inbox"
    },
    "target": {
        "id": "https://inria.hal.science",
        "type": "Service",
        "inbox": "https://inbox.hal.science"
    },
    "object": {
        "id": "https://hal.science/hal-01604983v1",
        "ietf:cite-as": null,
        "sorg:citation": {
            "@context": "https://doi.org/10.5063/schema/codemeta-2.0",
            "type": "SoftwareSourceCode",
            "name": "PartitionFinder",
            "codeRepository": null,
            "referencePublication": null
        },
        "mentionType": "software",
        "mentionContext": [
            "Partitions and substitution models were determined using PartitionFinder v. 1.1.1                      , based on the corrected Akaike information criterion (AICc)."
        ]
    }
}
2026-04-05 07:00:11 urn:uuid:84c5e40d-e3a8-48f9-bc05-a756067f5ceb https://datalake.inria.fr https://inria.hal.science ["Offer","coar-notify:ReviewAction"]
{
    "@context": [
        "https://www.w3.org/ns/activitystreams",
        "https://purl.org/coar/notify"
    ],
    "id": "urn:uuid:84c5e40d-e3a8-48f9-bc05-a756067f5ceb",
    "type": [
        "Offer",
        "coar-notify:ReviewAction"
    ],
    "actor": {
        "id": "https://datalake.inria.fr",
        "type": "Service",
        "name": "Inria DataLake"
    },
    "origin": {
        "id": "https://datalake.inria.fr",
        "type": "Service",
        "inbox": "https://prod-datadcis-api.inria.fr/coar/inbox"
    },
    "target": {
        "id": "https://inria.hal.science",
        "type": "Service",
        "inbox": "https://inbox.hal.science"
    },
    "object": {
        "id": "https://hal.science/hal-01604983v1",
        "ietf:cite-as": null,
        "sorg:citation": {
            "@context": "https://doi.org/10.5063/schema/codemeta-2.0",
            "type": "SoftwareSourceCode",
            "name": "Mesquite",
            "codeRepository": null,
            "referencePublication": null
        },
        "mentionType": "software",
        "mentionContext": [
            "For all protein-coding genes, we used Mesquite v. 3.04 (available from www.mesquiteproject.org) to check the coding frame for possible errors or stop codons."
        ]
    }
}
2026-04-05 07:00:11 urn:uuid:6dcd3325-0a3b-4901-b114-1dfeed3ee67b https://datalake.inria.fr https://inria.hal.science ["Offer","coar-notify:ReviewAction"]
{
    "@context": [
        "https://www.w3.org/ns/activitystreams",
        "https://purl.org/coar/notify"
    ],
    "id": "urn:uuid:6dcd3325-0a3b-4901-b114-1dfeed3ee67b",
    "type": [
        "Offer",
        "coar-notify:ReviewAction"
    ],
    "actor": {
        "id": "https://datalake.inria.fr",
        "type": "Service",
        "name": "Inria DataLake"
    },
    "origin": {
        "id": "https://datalake.inria.fr",
        "type": "Service",
        "inbox": "https://prod-datadcis-api.inria.fr/coar/inbox"
    },
    "target": {
        "id": "https://inria.hal.science",
        "type": "Service",
        "inbox": "https://inbox.hal.science"
    },
    "object": {
        "id": "https://hal.science/hal-01604983v1",
        "ietf:cite-as": null,
        "sorg:citation": {
            "@context": "https://doi.org/10.5063/schema/codemeta-2.0",
            "type": "SoftwareSourceCode",
            "name": "Exelixis Lab",
            "codeRepository": null,
            "referencePublication": null
        },
        "mentionType": "software",
        "mentionContext": [
            "Corresponding analyses were conducted on the web server of the Exelixis Lab (http://  species.h-its.org/ptp/),"
        ]
    }
}
2026-04-05 07:00:09 urn:uuid:55fa0d72-e2b5-46bb-8358-7f2a8a07b597 https://datalake.inria.fr https://inria.hal.science ["Offer","coar-notify:ReviewAction"]
{
    "@context": [
        "https://www.w3.org/ns/activitystreams",
        "https://purl.org/coar/notify"
    ],
    "id": "urn:uuid:55fa0d72-e2b5-46bb-8358-7f2a8a07b597",
    "type": [
        "Offer",
        "coar-notify:ReviewAction"
    ],
    "actor": {
        "id": "https://datalake.inria.fr",
        "type": "Service",
        "name": "Inria DataLake"
    },
    "origin": {
        "id": "https://datalake.inria.fr",
        "type": "Service",
        "inbox": "https://prod-datadcis-api.inria.fr/coar/inbox"
    },
    "target": {
        "id": "https://inria.hal.science",
        "type": "Service",
        "inbox": "https://inbox.hal.science"
    },
    "object": {
        "id": "https://hal.science/hal-02533008v1",
        "ietf:cite-as": null,
        "sorg:citation": {
            "@context": "https://doi.org/10.5063/schema/codemeta-2.0",
            "type": "SoftwareSourceCode",
            "name": "SPSS",
            "codeRepository": null,
            "referencePublication": null
        },
        "mentionType": "software",
        "mentionContext": [
            "All statistical analyses were performed using SPSS version 22.0 (IBM, New-York, USA)."
        ]
    }
}
2026-04-05 07:00:07 urn:uuid:61860450-d622-4be5-9c23-6b3ca22b5069 https://datalake.inria.fr https://inria.hal.science ["Offer","coar-notify:ReviewAction"]
{
    "@context": [
        "https://www.w3.org/ns/activitystreams",
        "https://purl.org/coar/notify"
    ],
    "id": "urn:uuid:61860450-d622-4be5-9c23-6b3ca22b5069",
    "type": [
        "Offer",
        "coar-notify:ReviewAction"
    ],
    "actor": {
        "id": "https://datalake.inria.fr",
        "type": "Service",
        "name": "Inria DataLake"
    },
    "origin": {
        "id": "https://datalake.inria.fr",
        "type": "Service",
        "inbox": "https://prod-datadcis-api.inria.fr/coar/inbox"
    },
    "target": {
        "id": "https://inria.hal.science",
        "type": "Service",
        "inbox": "https://inbox.hal.science"
    },
    "object": {
        "id": "https://hal.science/hal-02638235v1",
        "ietf:cite-as": null,
        "sorg:citation": {
            "@context": "https://doi.org/10.5063/schema/codemeta-2.0",
            "type": "SoftwareSourceCode",
            "name": "R package 'laketemps",
            "codeRepository": null,
            "referencePublication": null
        },
        "mentionType": "software",
        "mentionContext": [
            "and in the R package 'laketemps'.",
            "Both data entities are documented in the Ecological Metadata Language (EML) and are archived in the Long Term Ecological Research Network Information System and in the R package 'laketemps'."
        ]
    }
}
2026-04-05 07:00:06 urn:uuid:c84549b9-0ad0-4208-a1e0-790588927a74 https://datalake.inria.fr https://inria.hal.science ["Offer","coar-notify:ReviewAction"]
{
    "@context": [
        "https://www.w3.org/ns/activitystreams",
        "https://purl.org/coar/notify"
    ],
    "id": "urn:uuid:c84549b9-0ad0-4208-a1e0-790588927a74",
    "type": [
        "Offer",
        "coar-notify:ReviewAction"
    ],
    "actor": {
        "id": "https://datalake.inria.fr",
        "type": "Service",
        "name": "Inria DataLake"
    },
    "origin": {
        "id": "https://datalake.inria.fr",
        "type": "Service",
        "inbox": "https://prod-datadcis-api.inria.fr/coar/inbox"
    },
    "target": {
        "id": "https://inria.hal.science",
        "type": "Service",
        "inbox": "https://inbox.hal.science"
    },
    "object": {
        "id": "https://hal.science/hal-02638235v1",
        "ietf:cite-as": null,
        "sorg:citation": {
            "@context": "https://doi.org/10.5063/schema/codemeta-2.0",
            "type": "SoftwareSourceCode",
            "name": "Google Earth",
            "codeRepository": null,
            "referencePublication": null
        },
        "mentionType": "software",
        "mentionContext": [
            "Other_names Some lakes may have additional names, based on borders shared between countries, differences in spellings, or alternative names found when locating the lakes on Google Earth."
        ]
    }
}
2026-04-05 07:00:06 urn:uuid:870ab0fd-78e9-45c1-ba95-103b561e03b4 https://datalake.inria.fr https://inria.hal.science ["Offer","coar-notify:ReviewAction"]
{
    "@context": [
        "https://www.w3.org/ns/activitystreams",
        "https://purl.org/coar/notify"
    ],
    "id": "urn:uuid:870ab0fd-78e9-45c1-ba95-103b561e03b4",
    "type": [
        "Offer",
        "coar-notify:ReviewAction"
    ],
    "actor": {
        "id": "https://datalake.inria.fr",
        "type": "Service",
        "name": "Inria DataLake"
    },
    "origin": {
        "id": "https://datalake.inria.fr",
        "type": "Service",
        "inbox": "https://prod-datadcis-api.inria.fr/coar/inbox"
    },
    "target": {
        "id": "https://inria.hal.science",
        "type": "Service",
        "inbox": "https://inbox.hal.science"
    },
    "object": {
        "id": "https://hal.science/tel-00295597v1",
        "ietf:cite-as": null,
        "sorg:citation": {
            "@context": "https://doi.org/10.5063/schema/codemeta-2.0",
            "type": "SoftwareSourceCode",
            "name": "RES 2D INV",
            "codeRepository": null,
            "referencePublication": null
        },
        "mentionType": "software",
        "mentionContext": [
            "The field data depicted as contoured pseudoresistivity sections were inverted with the RES 2D INV software written by Loke (1997).",
            "The field data depicted as contoured pseudoresistivity sections were inverted with software RES 2D INV written by Loke (1997).",
            "The field data depicted as contoured pseudoresistivity sections                                          , were inverted using the software RES 2D INV written by            ."
        ]
    }
}
2026-04-05 06:59:58 urn:uuid:467afd45-02c0-48ae-a3d0-9f5ef334d4ca https://datalake.inria.fr https://inria.hal.science ["Offer","coar-notify:ReviewAction"]
{
    "@context": [
        "https://www.w3.org/ns/activitystreams",
        "https://purl.org/coar/notify"
    ],
    "id": "urn:uuid:467afd45-02c0-48ae-a3d0-9f5ef334d4ca",
    "type": [
        "Offer",
        "coar-notify:ReviewAction"
    ],
    "actor": {
        "id": "https://datalake.inria.fr",
        "type": "Service",
        "name": "Inria DataLake"
    },
    "origin": {
        "id": "https://datalake.inria.fr",
        "type": "Service",
        "inbox": "https://prod-datadcis-api.inria.fr/coar/inbox"
    },
    "target": {
        "id": "https://inria.hal.science",
        "type": "Service",
        "inbox": "https://inbox.hal.science"
    },
    "object": {
        "id": "https://hal.science/hal-04622459v1",
        "ietf:cite-as": null,
        "sorg:citation": {
            "@context": "https://doi.org/10.5063/schema/codemeta-2.0",
            "type": "SoftwareSourceCode",
            "name": "GZoltar",
            "codeRepository": null,
            "referencePublication": null
        },
        "mentionType": "software",
        "mentionContext": [
            "GZoltar and Jaguar both propose a set of several formulas whereas FLACOCO only implemented Ochiai but provide an interface to extend the tool if needed.",
            "In SBFL, GZoltar with the Ochiai ranking strategy is one of the most effective ranking strategies in object-oriented programs [3] and most APR tools use it [4,5,1,6].",
            "Particularly GZoltar [2] is the main SBFL tool using some of the most popular formulas.",
            "However, when using GZoltar some potential bugs go undetected (e.g., no tests pass through the statement or they do not fail).",
            "The rankings come from GZoltar employing the Ochiai strategy and Blues (their own IRFL tool), respectively.",
            "As an SBFL tool, we employ GZoltar [2] version 1.7.2 and use both the Ochiai [28] and DStar [17] ranking strategies.",
            "Baseline 1 is a SBFL approach that uses GZoltar with the Ochiai ranking strategy (most APR tools use it [4,5,1,6] and it is effective in object-oriented programs [3]).",
            "Baseline 2 is also a SBFL approach that uses GZoltar but with the DStar ranking strategy (another popular ranking strategy [17]).",
            "The first two baselines are SBFL techniques and computed using GZoltar    : Ochiai (Baseline 1 ) and DStar      (Baseline 2 ).",
            "Most APR tools work at the statement level of granularity and use GZoltar and the Ochiai strategy as a SBFL technique [5,1,6], which relies on test suites.",
            "Many APR tools [5,1,6] are based on SBFL at the statement level mainly through GZoltar [2].",
            "Two additional tools that should be mentioned although they are not as widely used as GZoltar are Jaguar [52] and FLACOCO [53].",
            "That allows Jaguar and Ja-CoCo to also be usable on recent Java versions which is not the case of GZoltar.",
            "In this context, bug reports hold important information that can be exploited to improve the results of GZoltar.",
            "Baseline 5 is SBIR, which is a recent statement-level approach [1] that combines the results of Blues (Baseline 4 ) with SBFL (GZoltar with the Ochiai strategy as in Baseline 1 ).",
            "Notably, both Baseline 1 (Ochiai) and Baseline 2 (DStar) yield identical results regarding the number of missing and detected bugs, as both are computed using GZoltar and thus the same code coverage technique."
        ]
    }
}
2026-04-05 06:59:55 urn:uuid:d6ab6706-77e4-45aa-ae15-c4258d77a197 https://datalake.inria.fr https://inria.hal.science ["Offer","coar-notify:ReviewAction"]
{
    "@context": [
        "https://www.w3.org/ns/activitystreams",
        "https://purl.org/coar/notify"
    ],
    "id": "urn:uuid:d6ab6706-77e4-45aa-ae15-c4258d77a197",
    "type": [
        "Offer",
        "coar-notify:ReviewAction"
    ],
    "actor": {
        "id": "https://datalake.inria.fr",
        "type": "Service",
        "name": "Inria DataLake"
    },
    "origin": {
        "id": "https://datalake.inria.fr",
        "type": "Service",
        "inbox": "https://prod-datadcis-api.inria.fr/coar/inbox"
    },
    "target": {
        "id": "https://inria.hal.science",
        "type": "Service",
        "inbox": "https://inbox.hal.science"
    },
    "object": {
        "id": "https://hal.science/inserm-01502053v1",
        "ietf:cite-as": null,
        "sorg:citation": {
            "@context": "https://doi.org/10.5063/schema/codemeta-2.0",
            "type": "SoftwareSourceCode",
            "name": "NeuroScan",
            "codeRepository": null,
            "referencePublication": null
        },
        "mentionType": "software",
        "mentionContext": [
            "EEG data were preprocessed within NeuroScan (Compumedics Inc.,                 .",
            "Auditory event-related potentials were collected using the NeuroScan electrophysiological data acquisition system (SCAN 4.3).",
            "Eyemovement artifacts were eliminated using a spatial filter transform developed by NeuroScan (Compumedics Inc., Neuroscan, 2003)."
        ]
    }
}
2026-04-05 06:59:55 urn:uuid:69c0c890-ac87-42da-a6b7-2ff8c2661674 https://datalake.inria.fr https://inria.hal.science ["Offer","coar-notify:ReviewAction"]
{
    "@context": [
        "https://www.w3.org/ns/activitystreams",
        "https://purl.org/coar/notify"
    ],
    "id": "urn:uuid:69c0c890-ac87-42da-a6b7-2ff8c2661674",
    "type": [
        "Offer",
        "coar-notify:ReviewAction"
    ],
    "actor": {
        "id": "https://datalake.inria.fr",
        "type": "Service",
        "name": "Inria DataLake"
    },
    "origin": {
        "id": "https://datalake.inria.fr",
        "type": "Service",
        "inbox": "https://prod-datadcis-api.inria.fr/coar/inbox"
    },
    "target": {
        "id": "https://inria.hal.science",
        "type": "Service",
        "inbox": "https://inbox.hal.science"
    },
    "object": {
        "id": "https://hal.science/inserm-01502053v1",
        "ietf:cite-as": null,
        "sorg:citation": {
            "@context": "https://doi.org/10.5063/schema/codemeta-2.0",
            "type": "SoftwareSourceCode",
            "name": "ELAN",
            "codeRepository": null,
            "referencePublication": null
        },
        "mentionType": "software",
        "mentionContext": [
            "ERPs were analyzed with the ELAN\u00ae software     ."
        ]
    }
}
2026-04-05 06:59:53 urn:uuid:a2266b2b-5e2c-4f37-8948-01c0a909051e https://datalake.inria.fr https://inria.hal.science ["Offer","coar-notify:ReviewAction"]
{
    "@context": [
        "https://www.w3.org/ns/activitystreams",
        "https://purl.org/coar/notify"
    ],
    "id": "urn:uuid:a2266b2b-5e2c-4f37-8948-01c0a909051e",
    "type": [
        "Offer",
        "coar-notify:ReviewAction"
    ],
    "actor": {
        "id": "https://datalake.inria.fr",
        "type": "Service",
        "name": "Inria DataLake"
    },
    "origin": {
        "id": "https://datalake.inria.fr",
        "type": "Service",
        "inbox": "https://prod-datadcis-api.inria.fr/coar/inbox"
    },
    "target": {
        "id": "https://inria.hal.science",
        "type": "Service",
        "inbox": "https://inbox.hal.science"
    },
    "object": {
        "id": "https://hal.science/hal-05400502v1",
        "ietf:cite-as": null,
        "sorg:citation": {
            "@context": "https://doi.org/10.5063/schema/codemeta-2.0",
            "type": "SoftwareSourceCode",
            "name": "FullProf",
            "codeRepository": null,
            "referencePublication": null
        },
        "mentionType": "software",
        "mentionContext": [
            "Rietveld refinements of multiphase single-grain XRD patterns were carried out using the FullProf software                           , considering hematite, goethite, kaolinite, and anatase as possible mineral phases."
        ]
    }
}
2026-04-05 06:59:53 urn:uuid:5ae07ec3-bf7d-48aa-b276-5dc5885db388 https://datalake.inria.fr https://inria.hal.science ["Offer","coar-notify:ReviewAction"]
{
    "@context": [
        "https://www.w3.org/ns/activitystreams",
        "https://purl.org/coar/notify"
    ],
    "id": "urn:uuid:5ae07ec3-bf7d-48aa-b276-5dc5885db388",
    "type": [
        "Offer",
        "coar-notify:ReviewAction"
    ],
    "actor": {
        "id": "https://datalake.inria.fr",
        "type": "Service",
        "name": "Inria DataLake"
    },
    "origin": {
        "id": "https://datalake.inria.fr",
        "type": "Service",
        "inbox": "https://prod-datadcis-api.inria.fr/coar/inbox"
    },
    "target": {
        "id": "https://inria.hal.science",
        "type": "Service",
        "inbox": "https://inbox.hal.science"
    },
    "object": {
        "id": "https://hal.science/hal-05400502v1",
        "ietf:cite-as": null,
        "sorg:citation": {
            "@context": "https://doi.org/10.5063/schema/codemeta-2.0",
            "type": "SoftwareSourceCode",
            "name": "ATLAS",
            "codeRepository": null,
            "referencePublication": null
        },
        "mentionType": "software",
        "mentionContext": [
            "High-resolution secondary and backscattered electron mappings (pixel size = 120 nm) were obtained from several grains with the ATLAS software (Zeiss)."
        ]
    }
}
2026-04-05 06:59:47 urn:uuid:01f339c9-538a-40c0-bb4a-f9de9d802d17 https://datalake.inria.fr https://inria.hal.science ["Offer","coar-notify:ReviewAction"]
{
    "@context": [
        "https://www.w3.org/ns/activitystreams",
        "https://purl.org/coar/notify"
    ],
    "id": "urn:uuid:01f339c9-538a-40c0-bb4a-f9de9d802d17",
    "type": [
        "Offer",
        "coar-notify:ReviewAction"
    ],
    "actor": {
        "id": "https://datalake.inria.fr",
        "type": "Service",
        "name": "Inria DataLake"
    },
    "origin": {
        "id": "https://datalake.inria.fr",
        "type": "Service",
        "inbox": "https://prod-datadcis-api.inria.fr/coar/inbox"
    },
    "target": {
        "id": "https://inria.hal.science",
        "type": "Service",
        "inbox": "https://inbox.hal.science"
    },
    "object": {
        "id": "https://hal.science/hal-03889949v1",
        "ietf:cite-as": null,
        "sorg:citation": {
            "@context": "https://doi.org/10.5063/schema/codemeta-2.0",
            "type": "SoftwareSourceCode",
            "name": "SAS",
            "codeRepository": null,
            "referencePublication": null
        },
        "mentionType": "software",
        "mentionContext": [
            "All statistical analyses were performed using SAS version 9.4 software (SAS Institute Inc., Cary, NC)."
        ]
    }
}
2026-04-05 06:59:45 urn:uuid:f98e5316-5825-4461-854f-afe5a4f6c442 https://datalake.inria.fr https://inria.hal.science ["Offer","coar-notify:ReviewAction"]
{
    "@context": [
        "https://www.w3.org/ns/activitystreams",
        "https://purl.org/coar/notify"
    ],
    "id": "urn:uuid:f98e5316-5825-4461-854f-afe5a4f6c442",
    "type": [
        "Offer",
        "coar-notify:ReviewAction"
    ],
    "actor": {
        "id": "https://datalake.inria.fr",
        "type": "Service",
        "name": "Inria DataLake"
    },
    "origin": {
        "id": "https://datalake.inria.fr",
        "type": "Service",
        "inbox": "https://prod-datadcis-api.inria.fr/coar/inbox"
    },
    "target": {
        "id": "https://inria.hal.science",
        "type": "Service",
        "inbox": "https://inbox.hal.science"
    },
    "object": {
        "id": "https://hal.science/hal-04085195v1",
        "ietf:cite-as": null,
        "sorg:citation": {
            "@context": "https://doi.org/10.5063/schema/codemeta-2.0",
            "type": "SoftwareSourceCode",
            "name": "GATK CollectHSMetrics",
            "codeRepository": null,
            "referencePublication": null
        },
        "mentionType": "software",
        "mentionContext": [
            "Several quality metrics are generated during the process, such as Picard, Qualimap (BamQC tool)        , GATK CollectHSMetrics, DepthOfCoverage     , and FastQC     ."
        ]
    }
}
2026-04-05 06:59:45 urn:uuid:98217e82-9b7a-47f2-be14-10a45c337811 https://datalake.inria.fr https://inria.hal.science ["Offer","coar-notify:ReviewAction"]
{
    "@context": [
        "https://www.w3.org/ns/activitystreams",
        "https://purl.org/coar/notify"
    ],
    "id": "urn:uuid:98217e82-9b7a-47f2-be14-10a45c337811",
    "type": [
        "Offer",
        "coar-notify:ReviewAction"
    ],
    "actor": {
        "id": "https://datalake.inria.fr",
        "type": "Service",
        "name": "Inria DataLake"
    },
    "origin": {
        "id": "https://datalake.inria.fr",
        "type": "Service",
        "inbox": "https://prod-datadcis-api.inria.fr/coar/inbox"
    },
    "target": {
        "id": "https://inria.hal.science",
        "type": "Service",
        "inbox": "https://inbox.hal.science"
    },
    "object": {
        "id": "https://hal.science/hal-04085195v1",
        "ietf:cite-as": null,
        "sorg:citation": {
            "@context": "https://doi.org/10.5063/schema/codemeta-2.0",
            "type": "SoftwareSourceCode",
            "name": "Integrative Genomic Viewer",
            "codeRepository": null,
            "referencePublication": null
        },
        "mentionType": "software",
        "mentionContext": [
            "We also evaluated on Integrative Genomic Viewer (IGV)         the coverage of the repeated regions of TTN (exons 172 to 180, 181 to 189, and 190 to 198) and NEB (exons 82 to 89, 90 to 97, and 98 to 105) that were not adequately covered by older ES kits tested in a previous study    ."
        ]
    }
}
2026-04-05 06:59:45 urn:uuid:22195b7a-08fc-4145-91b2-c11bfe2f984a https://datalake.inria.fr https://inria.hal.science ["Offer","coar-notify:ReviewAction"]
{
    "@context": [
        "https://www.w3.org/ns/activitystreams",
        "https://purl.org/coar/notify"
    ],
    "id": "urn:uuid:22195b7a-08fc-4145-91b2-c11bfe2f984a",
    "type": [
        "Offer",
        "coar-notify:ReviewAction"
    ],
    "actor": {
        "id": "https://datalake.inria.fr",
        "type": "Service",
        "name": "Inria DataLake"
    },
    "origin": {
        "id": "https://datalake.inria.fr",
        "type": "Service",
        "inbox": "https://prod-datadcis-api.inria.fr/coar/inbox"
    },
    "target": {
        "id": "https://inria.hal.science",
        "type": "Service",
        "inbox": "https://inbox.hal.science"
    },
    "object": {
        "id": "https://hal.science/hal-04085195v1",
        "ietf:cite-as": null,
        "sorg:citation": {
            "@context": "https://doi.org/10.5063/schema/codemeta-2.0",
            "type": "SoftwareSourceCode",
            "name": "GATK",
            "codeRepository": null,
            "referencePublication": null
        },
        "mentionType": "software",
        "mentionContext": [
            "It uses, in particular, BWA-MEM [46] for mapping, GATK 3.8 Haplotype Caller [47,48], and Platypus [49] for variant calling.",
            "Concerning the seven parameters (insert size, PCR duplicate rate, on-target rate, depth of coverage, coverage rate, uniformity of coverage, and transition/transversion (Ts/Tv) ratio) that ensure that the samples meet the quality requirements for analysis, most of their measures can be provided by GATK picard tools     ."
        ]
    }
}