📥 Inbound Notifications 668

Time â–¾ Id From To Type Content
2026-04-05 07:03:15 urn:uuid:329b55db-fdc8-420c-bbbe-dbb1c098fa4a 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:329b55db-fdc8-420c-bbbe-dbb1c098fa4a",
    "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-01581774v1",
        "ietf:cite-as": null,
        "sorg:citation": {
            "@context": "https://doi.org/10.5063/schema/codemeta-2.0",
            "type": "SoftwareSourceCode",
            "name": "DAVID",
            "codeRepository": null,
            "referencePublication": null
        },
        "mentionType": "software",
        "mentionContext": [
            "We performed functional annotations of upregulated genes with Gene Ontology (GO) terms using DAVID functional annotation tool."
        ]
    }
}
2026-04-05 07:03:14 urn:uuid:9a69e255-1928-4be0-bd3d-01fb0e6496c5 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:9a69e255-1928-4be0-bd3d-01fb0e6496c5",
    "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-05559127v1",
        "ietf:cite-as": null,
        "sorg:citation": {
            "@context": "https://doi.org/10.5063/schema/codemeta-2.0",
            "type": "SoftwareSourceCode",
            "name": "R Studio",
            "codeRepository": null,
            "referencePublication": null
        },
        "mentionType": "software",
        "mentionContext": [
            "All analyses were performed using R Studio version 2022.07.2+576."
        ]
    }
}
2026-04-05 07:03:05 urn:uuid:ef0e59d6-7e14-46fd-9964-dc4e9e00cec3 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:ef0e59d6-7e14-46fd-9964-dc4e9e00cec3",
    "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-04467569v1",
        "ietf:cite-as": null,
        "sorg:citation": {
            "@context": "https://doi.org/10.5063/schema/codemeta-2.0",
            "type": "SoftwareSourceCode",
            "name": "LabView",
            "codeRepository": null,
            "referencePublication": null
        },
        "mentionType": "software",
        "mentionContext": [
            "A separate temperature monitoring of the sample is achieved via a thermocouple combined with a custom-made LabView software."
        ]
    }
}
2026-04-05 07:03:04 urn:uuid:ebcbb372-7f93-401c-94d2-cd589c3fa67b 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:ebcbb372-7f93-401c-94d2-cd589c3fa67b",
    "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-05530750v1",
        "ietf:cite-as": null,
        "sorg:citation": {
            "@context": "https://doi.org/10.5063/schema/codemeta-2.0",
            "type": "SoftwareSourceCode",
            "name": "FLEXspace",
            "codeRepository": null,
            "referencePublication": null
        },
        "mentionType": "software",
        "mentionContext": [
            "FLEXspace is an online database of Learning Spaces of all types, offering for each entry a list of high definitions photos, as well as a technical, furniture, financial, organizational and uses descriptions.",
            "The Learning Spaces Rating System (LSRS) and FLEXspace , already widely discussed during the 2013, 14 15 2014, and 2015 EDUCAUSE conferences, have reached the end of a launching phase and now seem to have become the reference tools for their respective uses:",
            "The notion of pre-and post-occupation evaluation (respectively supported by the LSRS and by FLEXspace mentioned below) appears therefore preponderant, beyond the hype.",
            "Following the EDUCAUSE 2016 mission, several other establishments -notably North Americanshave confirmed their willingness to join the work, which will be carried out in conjunction with the various international working groups particularly supported by EDUCAUSE, and the LSRS and FLEXspace tools."
        ]
    }
}
2026-04-05 07:03:04 urn:uuid:b21c6c6f-c470-4c12-9901-94708a7333f7 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:b21c6c6f-c470-4c12-9901-94708a7333f7",
    "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-05530750v1",
        "ietf:cite-as": null,
        "sorg:citation": {
            "@context": "https://doi.org/10.5063/schema/codemeta-2.0",
            "type": "SoftwareSourceCode",
            "name": "Skype",
            "codeRepository": null,
            "referencePublication": null
        },
        "mentionType": "software",
        "mentionContext": [
            "When it comes to communication, IT staff have an important advantage: As professional \"geek\", they master communication channels (Skype, social networks, etc.) better than others."
        ]
    }
}
2026-04-05 07:03:04 urn:uuid:2981e31e-77bd-420c-9c31-9b734cdc8311 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:2981e31e-77bd-420c-9c31-9b734cdc8311",
    "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-05530750v1",
        "ietf:cite-as": null,
        "sorg:citation": {
            "@context": "https://doi.org/10.5063/schema/codemeta-2.0",
            "type": "SoftwareSourceCode",
            "name": "Proprietary",
            "codeRepository": null,
            "referencePublication": null
        },
        "mentionType": "software",
        "mentionContext": [
            "\u2022 Proprietary software produced and distributed by publishers (Blackboard Learn, D2L),"
        ]
    }
}
2026-04-05 07:03:03 urn:uuid:75a4c7a3-8e92-47d6-8c72-7ca4a492bfa9 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:75a4c7a3-8e92-47d6-8c72-7ca4a492bfa9",
    "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/halshs-01759740v1",
        "ietf:cite-as": null,
        "sorg:citation": {
            "@context": "https://doi.org/10.5063/schema/codemeta-2.0",
            "type": "SoftwareSourceCode",
            "name": "CatchEye",
            "codeRepository": null,
            "referencePublication": null
        },
        "mentionType": "software",
        "mentionContext": [
            "What CatchEye does is detect users' faces on screen and align their respective gazes to correct the phenomenon of parallax viewing (wherein lines of sight miss each other as each user looks at their screen rather than into the camera), creating the illusion that users are looking directly at each other and thus enhancing the sense of proximity and presence.",
            "The application CatchEye, for example, stems from the kind of explorations in 3D mapping that are common to the military tech industry; in this case, image correction software that could be incorporated into the programming of communicational apps like, say, Skype or WhatsApp.",
            "Sadr Haghighian's 2017 installation Onco Mickey Catch, includes this CatchEye software.",
            "The positions of the two screens in the work makes it is possible to video chat with the person sitting opposite; the incorporation of the CatchEye software enables a pair of users to locks eyes via screen."
        ]
    }
}
2026-04-05 07:03:03 urn:uuid:2f7919cd-8eed-4604-beb5-35faa1c0284d 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:2f7919cd-8eed-4604-beb5-35faa1c0284d",
    "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/halshs-01759740v1",
        "ietf:cite-as": null,
        "sorg:citation": {
            "@context": "https://doi.org/10.5063/schema/codemeta-2.0",
            "type": "SoftwareSourceCode",
            "name": "Skype",
            "codeRepository": null,
            "referencePublication": null
        },
        "mentionType": "software",
        "mentionContext": [
            "The application CatchEye, for example, stems from the kind of explorations in 3D mapping that are common to the military tech industry; in this case, image correction software that could be incorporated into the programming of communicational apps like, say, Skype or WhatsApp."
        ]
    }
}
2026-04-05 07:02:58 urn:uuid:35fe06d0-7f64-4a20-84fd-22802130b509 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:35fe06d0-7f64-4a20-84fd-22802130b509",
    "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-02998127v1",
        "ietf:cite-as": null,
        "sorg:citation": {
            "@context": "https://doi.org/10.5063/schema/codemeta-2.0",
            "type": "SoftwareSourceCode",
            "name": "MATLAB homemade application",
            "codeRepository": null,
            "referencePublication": null
        },
        "mentionType": "software",
        "mentionContext": [
            "A MATLAB homemade application (https://fr.mathworks.  com/matlabcentral/fileexchange/74199-1dt-multilayer-thermalquadrupole-solver-and-builder) was developed to generate any assembly and to realize a sensitivity study for any parameters of the multilayer."
        ]
    }
}
2026-04-05 07:02:57 urn:uuid:cdf49f97-85af-4380-a8aa-d7bc4b2c4d02 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:cdf49f97-85af-4380-a8aa-d7bc4b2c4d02",
    "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-04325986v1",
        "ietf:cite-as": null,
        "sorg:citation": {
            "@context": "https://doi.org/10.5063/schema/codemeta-2.0",
            "type": "SoftwareSourceCode",
            "name": "QEMU",
            "codeRepository": null,
            "referencePublication": null
        },
        "mentionType": "software",
        "mentionContext": [
            "2023 Zephyr OS ARM, x86, ARC, RISCV, Nios II, Xtensa, SPARC -~ 2 to ~ 8 ~ 3 C, C++ Preemptive, Priority based, Cooperative QEMU native 3.5.0",
            "Nov. 2023 RIOT OS ARM, MSP430, MIPS, AVR, x86, RISCV ~ 1.5 ~ 5 ~ 3 C, C++ (Rust Wrappers) Tickless, Preemptive, Priority based QEMU, Rednode 2023.10",
            "Oct. 2023 FreeRTOS ARM, AVR(32), ColdFire, Xtensa, HCS12, RISCV, IA32, Infineon XMC4000, MicroBlaze, MSP430, PIC(32), Renesas H8/S, RX100/200/600/700, 8052, TriCore, EFM32 ~ 1 ~ 5 to ~ 10 ~ 7.2 C, C++, Go (Rust Wrappers) Ticless, Preemptive, Priority based, Cooperative QEMU (Cortex M3) 10.6.2",
            "IoT OS Platforms RAM (kB) ROM (kB) Codebase (MLOC) Programming Language Scheduling Simulation / Emulation Last Release Apache MyNewt ARM (M0/3/4/23/33) MIPS32, Microchip PIC32, RISCV \u2273 1 \u2273 10 ~ 1.2 C, C++ Preemptive Priority based -1.11.0 Sept. 2023 Apache Nuttx ARM, AVR8, MIPS, Renesas, RISCV, Xtensa, ZiLOG --~ 4.3 C, C++ Preemptive Priority based QEMU 12.2.1 Jul."
        ]
    }
}
2026-04-05 07:02:56 urn:uuid:7551846a-68bc-446c-9f69-a0a838659a77 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:7551846a-68bc-446c-9f69-a0a838659a77",
    "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-04325986v1",
        "ietf:cite-as": null,
        "sorg:citation": {
            "@context": "https://doi.org/10.5063/schema/codemeta-2.0",
            "type": "SoftwareSourceCode",
            "name": "CubeMX/ CubeIDE",
            "codeRepository": null,
            "referencePublication": null
        },
        "mentionType": "software",
        "mentionContext": [
            "Moreover, the Eclipsebased software suite CubeMX/ CubeIDE     , intended to ease the onboarding of new users, tends to become cumbersome and limiting when developing custom applications."
        ]
    }
}
2026-04-05 07:02:56 urn:uuid:44cd4012-2a59-4a3e-b6c8-796d748e1a35 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:44cd4012-2a59-4a3e-b6c8-796d748e1a35",
    "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-04325986v1",
        "ietf:cite-as": null,
        "sorg:citation": {
            "@context": "https://doi.org/10.5063/schema/codemeta-2.0",
            "type": "SoftwareSourceCode",
            "name": "Linux Foundation",
            "codeRepository": null,
            "referencePublication": null
        },
        "mentionType": "software",
        "mentionContext": [
            "The Zephyr OS      is a project initiated by the Linux Foundation in 2016 as a scalable and modular RTOS in which multiple semiconductor industrial companies participate."
        ]
    }
}
2026-04-05 07:02:47 urn:uuid:34a6b881-1e2d-44a6-bd83-e11ac02ff526 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:34a6b881-1e2d-44a6-bd83-e11ac02ff526",
    "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-04958806v1",
        "ietf:cite-as": null,
        "sorg:citation": {
            "@context": "https://doi.org/10.5063/schema/codemeta-2.0",
            "type": "SoftwareSourceCode",
            "name": "PRIN",
            "codeRepository": null,
            "referencePublication": null
        },
        "mentionType": "software",
        "mentionContext": [
            "This work is part of the MuSES project, which has received funding from the European Research Council (ERC) under the European Union's Horizon 2020 Research and Innovation Programme (Grant Agreement No. 101142396); The General Secretariat of Research and Innovation (GSRI), Greece; Istituto Nazionale di Fisica Nucleare (INFN) and Ministero dell'Universit\u00e0 e della Ricerca (MUR), through PRIN 2022 program (Grant No. PANTHEON 2022E2J4RK, Next Generation EU) and PON R&I program (Avviso No. 424 del 28 febbraio 2018, Progetto PACK-PIR01 00021), Italy; IDMAR project Po-Fesr Sicilian Region az."
        ]
    }
}
2026-04-05 07:02:43 urn:uuid:f0561cdf-23f9-4f01-812a-77e170452a51 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:f0561cdf-23f9-4f01-812a-77e170452a51",
    "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-04309341v1",
        "ietf:cite-as": null,
        "sorg:citation": {
            "@context": "https://doi.org/10.5063/schema/codemeta-2.0",
            "type": "SoftwareSourceCode",
            "name": "fMRI Toolbox (GIFT",
            "codeRepository": null,
            "referencePublication": null
        },
        "mentionType": "software",
        "mentionContext": [
            "The data were analyzed using source-based morphometry (SBM v 1.0b) performed in the Group ICA of fMRI Toolbox (GIFT; http://icatb.sourceforge.net)                    in MATLAB R2015b."
        ]
    }
}
2026-04-05 07:02:43 urn:uuid:45bf81e7-c762-4dbc-8d9e-d28394e5f470 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:45bf81e7-c762-4dbc-8d9e-d28394e5f470",
    "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-04309341v1",
        "ietf:cite-as": null,
        "sorg:citation": {
            "@context": "https://doi.org/10.5063/schema/codemeta-2.0",
            "type": "SoftwareSourceCode",
            "name": "MATLAB",
            "codeRepository": null,
            "referencePublication": null
        },
        "mentionType": "software",
        "mentionContext": [
            "The data were analyzed using source-based morphometry (SBM v 1.0b) performed in the Group ICA of fMRI Toolbox (GIFT; http://icatb.sourceforge.net)                    in MATLAB R2015b."
        ]
    }
}
2026-04-05 07:02:29 urn:uuid:f7d8edfc-b03c-4d7e-8168-6266b75fc57e 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:f7d8edfc-b03c-4d7e-8168-6266b75fc57e",
    "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-04951649v1",
        "ietf:cite-as": null,
        "sorg:citation": {
            "@context": "https://doi.org/10.5063/schema/codemeta-2.0",
            "type": "SoftwareSourceCode",
            "name": "MetaMorph",
            "codeRepository": null,
            "referencePublication": null
        },
        "mentionType": "software",
        "mentionContext": [
            "Image acquisition was performed with MetaMorph on a widefield microscope (Leica, DM6000) equipped with a camera (DR-328G-C01-SIL-505, ANDOR Technology) using 40x or 100x objectives."
        ]
    }
}
2026-04-05 07:02:29 urn:uuid:e4031719-1278-4270-be22-79c3c7014cea 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:e4031719-1278-4270-be22-79c3c7014cea",
    "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-04951649v1",
        "ietf:cite-as": null,
        "sorg:citation": {
            "@context": "https://doi.org/10.5063/schema/codemeta-2.0",
            "type": "SoftwareSourceCode",
            "name": "Bio-Rad CFX manager",
            "codeRepository": null,
            "referencePublication": null
        },
        "mentionType": "software",
        "mentionContext": [
            "Data were analyzed using the Bio-Rad CFX manager software."
        ]
    }
}
2026-04-05 07:02:29 urn:uuid:d4cf14db-ee27-4058-82b5-aefcb292de60 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:d4cf14db-ee27-4058-82b5-aefcb292de60",
    "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-04951649v1",
        "ietf:cite-as": null,
        "sorg:citation": {
            "@context": "https://doi.org/10.5063/schema/codemeta-2.0",
            "type": "SoftwareSourceCode",
            "name": "Juicer",
            "codeRepository": null,
            "referencePublication": null
        },
        "mentionType": "software",
        "mentionContext": [
            "Aggregate Peak Analysis (APA) was done using Juicer Tools APA program at 10 kb resolution (https://  github.com/aidenlab/juicer/wiki/APA).",
            "Loops anchors and APA-Loops were called using Juicer Tools HiCCUPS program at 10 kb and 25 kb resolutions (https://github.com/aidenlab/juicer/wiki/HiCCUPS).",
            "Hi-C reads were mapped to hg19 and processed with Juicer using default settings (https://github.com/  aidenlab/juicer).",
            "To build the average heatmaps, sub-matrix for cis interactions around DSBs were extracted using Juicer, both for observed matrix and observed over expected matrix."
        ]
    }
}
2026-04-05 07:02:29 urn:uuid:bbe8c2e8-d9d4-4ffe-869b-14775ed5a09b 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:bbe8c2e8-d9d4-4ffe-869b-14775ed5a09b",
    "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-04951649v1",
        "ietf:cite-as": null,
        "sorg:citation": {
            "@context": "https://doi.org/10.5063/schema/codemeta-2.0",
            "type": "SoftwareSourceCode",
            "name": "Integrated Genome Browser",
            "codeRepository": null,
            "referencePublication": null
        },
        "mentionType": "software",
        "mentionContext": [
            "Scanned array data were normalized using Tiling Affymetrix Software (TAS) (quantile normalization, scale set to 500) and analyzed as described in       and converted to.wig files using R/Bioconductor software, when necessary, for visualization using the Integrated Genome Browser (bioviz.org)."
        ]
    }
}
2026-04-05 07:02:29 urn:uuid:bb1bef9a-efd2-48ac-8cf2-b1c6629b7af9 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:bb1bef9a-efd2-48ac-8cf2-b1c6629b7af9",
    "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-04951649v1",
        "ietf:cite-as": null,
        "sorg:citation": {
            "@context": "https://doi.org/10.5063/schema/codemeta-2.0",
            "type": "SoftwareSourceCode",
            "name": "Columbus",
            "codeRepository": null,
            "referencePublication": null
        },
        "mentionType": "software",
        "mentionContext": [
            "For the quantification, cells were acquired with a 40x objective and analyzed using Columbus software (Perkin Elmer)."
        ]
    }
}