From 7d1f36b21fc3f9a38c03e1bf87b0d99c4bb51927 Mon Sep 17 00:00:00 2001 From: Steven Kearnes Date: Mon, 19 Jul 2021 12:01:21 -0400 Subject: [PATCH] Update DOI list (#111) * bump ord-schema version * Update README.md * Update README.md * Update README.md * Update README.md * Update README.md * Update README.md --- README.md | 120 +++++++++++++++++++++++++++++------------------------- 1 file changed, 64 insertions(+), 56 deletions(-) diff --git a/README.md b/README.md index ee000f49..7bb8e3e6 100644 --- a/README.md +++ b/README.md @@ -16,59 +16,67 @@ Please see the [Submission Workflow](https://docs.open-reaction-database.org/en/ ## DOIs covered by ORD -* Mdluli, V. et al. High-throughput Synthesis and Screening of Iridium(III) Photocatalysts for the Fast and Chemoselective Dehalogenation of Aryl Bromides. ACS Catalysis 10, 6977–6987 (2020). [doi: 10.1021/acscatal.0c02247](https://doi.org/10.1021/acscatal.0c02247) - * [ord_dataset-b440f8c90b6343189093770060fc4098](https://github.com/Open-Reaction-Database/ord-data/blob/main/data/b4/ord_dataset-b440f8c90b6343189093770060fc4098.pb.gz) -* Coley, C. W. et al. A graph-convolutional neural network model for the prediction of chemical reactivity. Chemical Science 10, 370–377 (2019). [doi: 10.1039/C8SC04228D](https://doi.org/10.1039/C8SC04228D) - * [ord_dataset-488402f6ec0d441ca2f7d6fabea7c220](https://github.com/Open-Reaction-Database/ord-data/blob/main/data/48/ord_dataset-488402f6ec0d441ca2f7d6fabea7c220.pb.gz) - * [ord_dataset-5481550056a14935b76e031fb94b88be](https://github.com/Open-Reaction-Database/ord-data/blob/main/data/54/ord_dataset-5481550056a14935b76e031fb94b88be.pb.gz) - * [ord_dataset-de0979205c84441190feef587fef8d6d](https://github.com/Open-Reaction-Database/ord-data/blob/main/data/de/ord_dataset-de0979205c84441190feef587fef8d6d.pb.gz) -* Kutchukian, P. S. et al. Chemistry informer libraries: a chemoinformatics enabled approach to evaluate and advance synthetic methods. Chem. Sci. 7, 2604–2613 (2016). [doi: 10.1039/c5sc04751j](https://doi.org/10.1039/c5sc04751j) - * [ord_dataset-d319c2a22ecf4ce59db1a18ae71d529c](https://github.com/Open-Reaction-Database/ord-data/blob/main/data/d3/ord_dataset-d319c2a22ecf4ce59db1a18ae71d529c.pb.gz) -* Buitrago Santanilla, A. et al. Nanomole-scale high-throughput chemistry for the synthesis of complex molecules. Science 347, 49–53 (2014). [doi: 10.1126/science.1259203](https://doi.org/10.1126/science.1259203) - * [ord_dataset-7d8f5fd922d4497d91cb81489b052746](https://github.com/Open-Reaction-Database/ord-data/blob/main/data/7d/ord_dataset-7d8f5fd922d4497d91cb81489b052746.pb.gz) -* Perera, D. et al. A platform for automated nanomole-scale reaction screening and micromole-scale synthesis in flow. Science 359, 429–434 (2018). [doi: 10.1126/science.aap9112](https://doi.org/10.1126/science.aap9112) - * [ord_dataset-68cb8b4b2b384e3d85b5b1efae58b203](https://github.com/Open-Reaction-Database/ord-data/blob/main/data/68/ord_dataset-68cb8b4b2b384e3d85b5b1efae58b203.pb.gz) -* Ahneman, D. T., Estrada, J. G., Lin, S., Dreher, S. D. & Doyle, A. G. Predicting reaction performance in C–N cross-coupling using machine learning. Science 360, 186–190 (2018). [doi: 10.1126/science.aar5169](https://doi.org/10.1126/science.aar5169) - * [ord_dataset-46ff9a32d9e04016b9380b1b1ef949c3](https://github.com/Open-Reaction-Database/ord-data/blob/main/data/46/ord_dataset-46ff9a32d9e04016b9380b1b1ef949c3.pb.gz) -* Lowe, D. Chemical reactions from US patents (1976-Sep2016). (2017). [doi: 10.6084/m9.figshare.5104873.v1](https://doi.org/10.6084/m9.figshare.5104873.v1) - * [ord_dataset-026684a62f91469db49c7767d16c39fb](https://github.com/Open-Reaction-Database/ord-data/blob/main/data/02/ord_dataset-026684a62f91469db49c7767d16c39fb.pb.gz) - * [ord_dataset-02a54e4276634c4bb041190cd571231e](https://github.com/Open-Reaction-Database/ord-data/blob/main/data/02/ord_dataset-02a54e4276634c4bb041190cd571231e.pb.gz) - * [ord_dataset-037d306d1fab4baeb9d6cd2bc74036fe](https://github.com/Open-Reaction-Database/ord-data/blob/main/data/03/ord_dataset-037d306d1fab4baeb9d6cd2bc74036fe.pb.gz) - * [ord_dataset-04c32a8cbc1b4538808c959d06ad0f18](https://github.com/Open-Reaction-Database/ord-data/blob/main/data/04/ord_dataset-04c32a8cbc1b4538808c959d06ad0f18.pb.gz) - * [ord_dataset-0b603eaa855e4333bd323b102c67d74d](https://github.com/Open-Reaction-Database/ord-data/blob/main/data/0b/ord_dataset-0b603eaa855e4333bd323b102c67d74d.pb.gz) - * [ord_dataset-0e0d2e7177c54e0784a9b3be8e5826df](https://github.com/Open-Reaction-Database/ord-data/blob/main/data/0e/ord_dataset-0e0d2e7177c54e0784a9b3be8e5826df.pb.gz) - * [ord_dataset-0ffab74143c1448e82514a9aa7add211](https://github.com/Open-Reaction-Database/ord-data/blob/main/data/0f/ord_dataset-0ffab74143c1448e82514a9aa7add211.pb.gz) - * [ord_dataset-1b3d2b114de1429e9b70c3b1c16c9263](https://github.com/Open-Reaction-Database/ord-data/blob/main/data/1b/ord_dataset-1b3d2b114de1429e9b70c3b1c16c9263.pb.gz) - * [ord_dataset-1d488c5b08dc4e89af99b354a7cccfd6](https://github.com/Open-Reaction-Database/ord-data/blob/main/data/1d/ord_dataset-1d488c5b08dc4e89af99b354a7cccfd6.pb.gz) - * [ord_dataset-1e9e313f53dc41cb87a997202eb11f5e](https://github.com/Open-Reaction-Database/ord-data/blob/main/data/1e/ord_dataset-1e9e313f53dc41cb87a997202eb11f5e.pb.gz) - * [ord_dataset-26b48b4500264ea8b727223648e1cd02](https://github.com/Open-Reaction-Database/ord-data/blob/main/data/26/ord_dataset-26b48b4500264ea8b727223648e1cd02.pb.gz) - * [ord_dataset-353666fa8d90431b8c5bf5bee48c651e](https://github.com/Open-Reaction-Database/ord-data/blob/main/data/35/ord_dataset-353666fa8d90431b8c5bf5bee48c651e.pb.gz) - * [ord_dataset-3895ae1a26c54070863df57dbb433ebf](https://github.com/Open-Reaction-Database/ord-data/blob/main/data/38/ord_dataset-3895ae1a26c54070863df57dbb433ebf.pb.gz) - * [ord_dataset-44b055ac982744f6baf98a65f2345902](https://github.com/Open-Reaction-Database/ord-data/blob/main/data/44/ord_dataset-44b055ac982744f6baf98a65f2345902.pb.gz) - * [ord_dataset-4e466977eb464bb291fb276e42f2a78a](https://github.com/Open-Reaction-Database/ord-data/blob/main/data/4e/ord_dataset-4e466977eb464bb291fb276e42f2a78a.pb.gz) - * [ord_dataset-5136b2f7201841af83eb6757b7ec2009](https://github.com/Open-Reaction-Database/ord-data/blob/main/data/51/ord_dataset-5136b2f7201841af83eb6757b7ec2009.pb.gz) - * [ord_dataset-5ba1da11397e4b30bfe8a36fb8096251](https://github.com/Open-Reaction-Database/ord-data/blob/main/data/5b/ord_dataset-5ba1da11397e4b30bfe8a36fb8096251.pb.gz) - * [ord_dataset-5d7549b92eb94e1287c455cf3a228d5b](https://github.com/Open-Reaction-Database/ord-data/blob/main/data/5d/ord_dataset-5d7549b92eb94e1287c455cf3a228d5b.pb.gz) - * [ord_dataset-6742d05ed8dd456ea92b7dfb8f63b91b](https://github.com/Open-Reaction-Database/ord-data/blob/main/data/67/ord_dataset-6742d05ed8dd456ea92b7dfb8f63b91b.pb.gz) - * [ord_dataset-682d4c94ea604ce0b055eb55f6477904](https://github.com/Open-Reaction-Database/ord-data/blob/main/data/68/ord_dataset-682d4c94ea604ce0b055eb55f6477904.pb.gz) - * [ord_dataset-683505b5a9bd4dc593f77c85687acf51](https://github.com/Open-Reaction-Database/ord-data/blob/main/data/68/ord_dataset-683505b5a9bd4dc593f77c85687acf51.pb.gz) - * [ord_dataset-702e59c58c5f42f2836972fe5bb69669](https://github.com/Open-Reaction-Database/ord-data/blob/main/data/70/ord_dataset-702e59c58c5f42f2836972fe5bb69669.pb.gz) - * [ord_dataset-7132516c8cb6483283df56a78b8743c0](https://github.com/Open-Reaction-Database/ord-data/blob/main/data/71/ord_dataset-7132516c8cb6483283df56a78b8743c0.pb.gz) - * [ord_dataset-7740e8852f744ac3baabb50556fc163d](https://github.com/Open-Reaction-Database/ord-data/blob/main/data/77/ord_dataset-7740e8852f744ac3baabb50556fc163d.pb.gz) - * [ord_dataset-83bfd1dac1b94c9eaa65b314baeb37d0](https://github.com/Open-Reaction-Database/ord-data/blob/main/data/83/ord_dataset-83bfd1dac1b94c9eaa65b314baeb37d0.pb.gz) - * [ord_dataset-84a3818d08e94ba2bd2fa91be2954cd1](https://github.com/Open-Reaction-Database/ord-data/blob/main/data/84/ord_dataset-84a3818d08e94ba2bd2fa91be2954cd1.pb.gz) - * [ord_dataset-8bd80d2f3a754d4fa983fca1f895c39c](https://github.com/Open-Reaction-Database/ord-data/blob/main/data/8b/ord_dataset-8bd80d2f3a754d4fa983fca1f895c39c.pb.gz) - * [ord_dataset-99677e107dad409997a2f362e07ec5ac](https://github.com/Open-Reaction-Database/ord-data/blob/main/data/99/ord_dataset-99677e107dad409997a2f362e07ec5ac.pb.gz) - * [ord_dataset-a3fa129955b045068520f7d018f37cc5](https://github.com/Open-Reaction-Database/ord-data/blob/main/data/a3/ord_dataset-a3fa129955b045068520f7d018f37cc5.pb.gz) - * [ord_dataset-b2fba5174a374ce0a1d3598617974df1](https://github.com/Open-Reaction-Database/ord-data/blob/main/data/b2/ord_dataset-b2fba5174a374ce0a1d3598617974df1.pb.gz) - * [ord_dataset-b820e2b6e1474168ae2bfff5914f96ef](https://github.com/Open-Reaction-Database/ord-data/blob/main/data/b8/ord_dataset-b820e2b6e1474168ae2bfff5914f96ef.pb.gz) - * [ord_dataset-c19808d436894009b2929b3bf2a972df](https://github.com/Open-Reaction-Database/ord-data/blob/main/data/c1/ord_dataset-c19808d436894009b2929b3bf2a972df.pb.gz) - * [ord_dataset-ca5a32b5d663435e98c50c68d5ddf73f](https://github.com/Open-Reaction-Database/ord-data/blob/main/data/ca/ord_dataset-ca5a32b5d663435e98c50c68d5ddf73f.pb.gz) - * [ord_dataset-cda008a678f14e8591cc845a37e85fed](https://github.com/Open-Reaction-Database/ord-data/blob/main/data/cd/ord_dataset-cda008a678f14e8591cc845a37e85fed.pb.gz) - * [ord_dataset-d19aedb0dfd947f1933c0262803960d6](https://github.com/Open-Reaction-Database/ord-data/blob/main/data/d1/ord_dataset-d19aedb0dfd947f1933c0262803960d6.pb.gz) - * [ord_dataset-d9b6cc4de43c4597b14030ffd44791bc](https://github.com/Open-Reaction-Database/ord-data/blob/main/data/d9/ord_dataset-d9b6cc4de43c4597b14030ffd44791bc.pb.gz) - * [ord_dataset-df21fa35f2d54662b00b89e12450c75e](https://github.com/Open-Reaction-Database/ord-data/blob/main/data/df/ord_dataset-df21fa35f2d54662b00b89e12450c75e.pb.gz) - * [ord_dataset-e2103f90b283456b82024392b65719f5](https://github.com/Open-Reaction-Database/ord-data/blob/main/data/e2/ord_dataset-e2103f90b283456b82024392b65719f5.pb.gz) - * [ord_dataset-f400f3024cb541b6884630bbe6e9dace](https://github.com/Open-Reaction-Database/ord-data/blob/main/data/f4/ord_dataset-f400f3024cb541b6884630bbe6e9dace.pb.gz) - * [ord_dataset-f6e510ee6abe48bb9f9ddd9a7153160c](https://github.com/Open-Reaction-Database/ord-data/blob/main/data/f6/ord_dataset-f6e510ee6abe48bb9f9ddd9a7153160c.pb.gz) - * [ord_dataset-fa5a7d9322b445ab8e1efb1dfda208f2](https://github.com/Open-Reaction-Database/ord-data/blob/main/data/fa/ord_dataset-fa5a7d9322b445ab8e1efb1dfda208f2.pb.gz) +| Citation | Dataset | Description | Reactions | +| - | - | - | -: | +| Dreher, S. D. & Krska, S. W. Chemistry Informer Libraries: Conception, Early Experience, and Role in the Future of Cheminformatics. Accounts of Chemical Research 54, 1586–1596 (2021). [doi: 10.1021/acs.accounts.0c00760](https://doi.org/10.1021/acs.accounts.0c00760) | [Nano CN PhotoChemistry Informers Library](https://github.com/Open-Reaction-Database/ord-data/blob/main/data/ac/ord_dataset-ac78456835404910b3a4c840248b6ac9.pb.gz) | https://doi.org/10.1021/acs.accounts.0c00760Data from Figure S12. Data from experiment 2. Yields of products calculated by UPLC-MS using product standards. | 1728 | +| Mdluli, V. et al. High-throughput Synthesis and Screening of Iridium(III) Photocatalysts for the Fast and Chemoselective Dehalogenation of Aryl Bromides. ACS Catalysis 10, 6977–6987 (2020). [doi: 10.1021/acscatal.0c02247](https://doi.org/10.1021/acscatal.0c02247) | [Photodehalogenation_HTE_estimated_conv_at_5hr](https://github.com/Open-Reaction-Database/ord-data/blob/main/data/b4/ord_dataset-b440f8c90b6343189093770060fc4098.pb.gz) | Ref: Bernhard, S. et al "High-throughput Synthesis and Screening of Iridium(III) Photocatalysts for the Fast and Chemoselective Dehalogenation of Aryl Bromides"  ACS Catal. 2020, 10, 6977−6987. https://dx.doi.org/10.1021/acscatal.0c02247 | 1152 | +| Stadler, A. & Kappe, C. O. Automated Library Generation Using Sequential Microwave-Assisted Chemistry. Application toward the Biginelli Multicomponent Condensation. Journal of Combinatorial Chemistry 3, 624–630 (2001). [doi: 10.1021/cc010044j](https://doi.org/10.1021/cc010044j) | [Microwave-assisted Biginelli Condensation Dataset](https://github.com/Open-Reaction-Database/ord-data/blob/main/data/55/ord_dataset-55de08a995554f558c25fc43eac62359.pb.gz) | 48-member library of Biginelli products from microwave screening paper, https://pubs.acs.org/doi/full/10.1021/cc010044j | 48 | +| Gioiello, A., Rosatelli, E., Teofrasti, M., Filipponi, P. & Pellicciari, R. Building a Sulfonamide Library by Eco-Friendly Flow Synthesis. ACS Combinatorial Science 15, 235–239 (2013). [doi: 10.1021/co400012m](https://doi.org/10.1021/co400012m) | [39 compound library from "Building a Sulfonamide Library by Eco-Friendly Flow Synthesis"](https://github.com/Open-Reaction-Database/ord-data/blob/main/data/5e/ord_dataset-5eb7f2689f4a42eba63ad9e37e49a5cd.pb.gz) | Library generated in DOI 10.1021/co400012m (Table 2) | 39 | +| Kutchukian, P. S. et al. Chemistry informer libraries: a chemoinformatics enabled approach to evaluate and advance synthetic methods. Chem. Sci. 7, 2604–2613 (2016). [doi: 10.1039/c5sc04751j](https://doi.org/10.1039/c5sc04751j) | [link](https://github.com/Open-Reaction-Database/ord-data/blob/main/data/4d/ord_dataset-4d431564f3ef4e9c91d8da5836f4eae6.pb.gz) | | 90 | +| | [Pd_CN_Coupling_Informer_Library](https://github.com/Open-Reaction-Database/ord-data/blob/main/data/d3/ord_dataset-d319c2a22ecf4ce59db1a18ae71d529c.pb.gz) | Ref: Chem. Sci., 2016, 7, 2604.doi: 10.1039/c5sc04751jThis palladium catalyzed C-N cross coupling dataset is the first 8 rows of Figure 4D | 264 | +| Coley, C. W. et al. A graph-convolutional neural network model for the prediction of chemical reactivity. Chemical Science 10, 370–377 (2019). [doi: 10.1039/c8sc04228d](https://doi.org/10.1039/c8sc04228d) | [Test data from https://doi.org/10.1039/C8SC04228D](https://github.com/Open-Reaction-Database/ord-data/blob/main/data/48/ord_dataset-488402f6ec0d441ca2f7d6fabea7c220.pb.gz) | 40000 reaction SMILES downloaded from https://github.com/connorcoley/rexgen_direct | 40000 | +| | [Validation data from https://doi.org/10.1039/C8SC04228D](https://github.com/Open-Reaction-Database/ord-data/blob/main/data/54/ord_dataset-5481550056a14935b76e031fb94b88be.pb.gz) | 30000 reaction SMILES downloaded from https://github.com/connorcoley/rexgen_direct | 30000 | +| | [Training data from https://doi.org/10.1039/C8SC04228D](https://github.com/Open-Reaction-Database/ord-data/blob/main/data/de/ord_dataset-de0979205c84441190feef587fef8d6d.pb.gz) | 409035 reaction SMILES downloaded from https://github.com/connorcoley/rexgen_direct | 409035 | +| Christensen, M. et al. Development of an automated kinetic profiling system with online HPLC for reaction optimization. Reaction Chemistry & Engineering 4, 1555–1558 (2019). [doi: 10.1039/c9re00086k](https://doi.org/10.1039/c9re00086k) | [Development of an automated kinetic profiling system with online HPLC for reaction optimization](https://github.com/Open-Reaction-Database/ord-data/blob/main/data/35/ord_dataset-35a5a513f1dd44a3a97c88da99f81a00.pb.gz) | Reactions from DOI: 10.1039/c9re00086k | 7 | +| Zuo, Z. et al. Merging photoredox with nickel catalysis: Coupling of  -carboxyl sp3-carbons with aryl halides. Science 345, 437–440 (2014). [doi: 10.1126/science.1255525](https://doi.org/10.1126/science.1255525) | [Coupling of α-carboxyl sp3-carbons with aryl halides](https://github.com/Open-Reaction-Database/ord-data/blob/main/data/89/ord_dataset-89b083710e2d441aa0040c361d63359f.pb.gz) | Substrate scopes (Figure 3 and 4A) from https://science.sciencemag.org/content/345/6195/437 | 24 | +| Buitrago Santanilla, A. et al. Nanomole-scale high-throughput chemistry for the synthesis of complex molecules. Science 347, 49–53 (2014). [doi: 10.1126/science.1259203](https://doi.org/10.1126/science.1259203) | [HTE Pd-catalyzed cross-coupling screen](https://github.com/Open-Reaction-Database/ord-data/blob/main/data/7d/ord_dataset-7d8f5fd922d4497d91cb81489b052746.pb.gz) | Reactions from Experiment 2 of DOI: 10.1126/science.1259203 | 1536 | +| Perera, D. et al. A platform for automated nanomole-scale reaction screening and micromole-scale synthesis in flow. Science 359, 429–434 (2018). [doi: 10.1126/science.aap9112](https://doi.org/10.1126/science.aap9112) | [link](https://github.com/Open-Reaction-Database/ord-data/blob/main/data/68/ord_dataset-68cb8b4b2b384e3d85b5b1efae58b203.pb.gz) | | 5760 | +| Ahneman, D. T., Estrada, J. G., Lin, S., Dreher, S. D. & Doyle, A. G. Predicting reaction performance in C–N cross-coupling using machine learning. Science 360, 186–190 (2018). [doi: 10.1126/science.aar5169](https://doi.org/10.1126/science.aar5169) | [Ahneman](https://github.com/Open-Reaction-Database/ord-data/blob/main/data/46/ord_dataset-46ff9a32d9e04016b9380b1b1ef949c3.pb.gz) | C-N cross-coupling reactions from 10.1126/science.aar5169 | 4312 | +| Huffman, M. A. et al. Design of an in vitro biocatalytic cascade for the manufacture of islatravir. Science 366, 1255–1259 (2019). [doi: 10.1126/science.aay8484](https://doi.org/10.1126/science.aay8484) | [synthesis of islatravir by biocatalytic cascade](https://github.com/Open-Reaction-Database/ord-data/blob/main/data/6a/ord_dataset-6a0bfcdf53a64c07987822162ae591e2.pb.gz) | | 3 | +| Liu, R. Copper-Catalyzed Enantioselective Hydroamination of Alkenes. Organic Syntheses 95, 80–96 (2018). [doi: 10.15227/orgsyn.095.0080](https://doi.org/10.15227/orgsyn.095.0080) | [Copper-Catalyzed Enantioselective Hydroamination of Alkenes](https://github.com/Open-Reaction-Database/ord-data/blob/main/data/55/ord_dataset-5540e162c09f4c04905ddc8ba9c931c6.pb.gz) | Reaction data from Org. Synth. 2018, 95, 80-96 (DOI: 10.15227/orgsyn.095.0080) | 3 | +| Newman-Stonebraker, S. et al. Linking Mechanistic Analysis of Catalytic Reactivity Cliffs to Ligand Classification. (2021). doi:10.26434/chemrxiv.14388557.v1 [doi: 10.26434/chemrxiv.14388557.v1](https://doi.org/10.26434/chemrxiv.14388557.v1) | [link](https://github.com/Open-Reaction-Database/ord-data/blob/main/data/3b/ord_dataset-3b5db90e337942ea886b8f5bc5e3aa72.pb.gz) | | 450 | +| Lowe, D. Chemical reactions from US patents (1976-Sep2016). (2017) doi:10.6084/M9.FIGSHARE.5104873.V1. [doi: 10.6084/m9.figshare.5104873.v1](https://doi.org/10.6084/m9.figshare.5104873.v1) | [uspto-grants-2016](https://github.com/Open-Reaction-Database/ord-data/blob/main/data/02/ord_dataset-026684a62f91469db49c7767d16c39fb.pb.gz) | | 93834 | +| | [uspto-grants-2002](https://github.com/Open-Reaction-Database/ord-data/blob/main/data/02/ord_dataset-02a54e4276634c4bb041190cd571231e.pb.gz) | | 46455 | +| | [uspto-grants-1979](https://github.com/Open-Reaction-Database/ord-data/blob/main/data/03/ord_dataset-037d306d1fab4baeb9d6cd2bc74036fe.pb.gz) | | 11576 | +| | [uspto-grants-1981](https://github.com/Open-Reaction-Database/ord-data/blob/main/data/04/ord_dataset-04c32a8cbc1b4538808c959d06ad0f18.pb.gz) | | 14847 | +| | [uspto-grants-2013](https://github.com/Open-Reaction-Database/ord-data/blob/main/data/0b/ord_dataset-0b603eaa855e4333bd323b102c67d74d.pb.gz) | | 141950 | +| | [uspto-grants-1999](https://github.com/Open-Reaction-Database/ord-data/blob/main/data/0e/ord_dataset-0e0d2e7177c54e0784a9b3be8e5826df.pb.gz) | | 32954 | +| | [uspto-grants-1978](https://github.com/Open-Reaction-Database/ord-data/blob/main/data/0f/ord_dataset-0ffab74143c1448e82514a9aa7add211.pb.gz) | | 15442 | +| | [uspto-grants-1986](https://github.com/Open-Reaction-Database/ord-data/blob/main/data/1b/ord_dataset-1b3d2b114de1429e9b70c3b1c16c9263.pb.gz) | | 12870 | +| | [uspto-grants-2007](https://github.com/Open-Reaction-Database/ord-data/blob/main/data/1d/ord_dataset-1d488c5b08dc4e89af99b354a7cccfd6.pb.gz) | | 53107 | +| | [uspto-grants-1996](https://github.com/Open-Reaction-Database/ord-data/blob/main/data/1e/ord_dataset-1e9e313f53dc41cb87a997202eb11f5e.pb.gz) | | 28237 | +| | [uspto-grants-1998](https://github.com/Open-Reaction-Database/ord-data/blob/main/data/26/ord_dataset-26b48b4500264ea8b727223648e1cd02.pb.gz) | | 33841 | +| | [uspto-grants-1977](https://github.com/Open-Reaction-Database/ord-data/blob/main/data/35/ord_dataset-353666fa8d90431b8c5bf5bee48c651e.pb.gz) | | 16777 | +| | [uspto-grants-1983](https://github.com/Open-Reaction-Database/ord-data/blob/main/data/38/ord_dataset-3895ae1a26c54070863df57dbb433ebf.pb.gz) | | 11026 | +| | [uspto-grants-2000](https://github.com/Open-Reaction-Database/ord-data/blob/main/data/44/ord_dataset-44b055ac982744f6baf98a65f2345902.pb.gz) | | 33605 | +| | [uspto-grants-1988](https://github.com/Open-Reaction-Database/ord-data/blob/main/data/4e/ord_dataset-4e466977eb464bb291fb276e42f2a78a.pb.gz) | | 15279 | +| | [uspto-grants-1987](https://github.com/Open-Reaction-Database/ord-data/blob/main/data/51/ord_dataset-5136b2f7201841af83eb6757b7ec2009.pb.gz) | | 15001 | +| | [uspto-grants-2015](https://github.com/Open-Reaction-Database/ord-data/blob/main/data/5b/ord_dataset-5ba1da11397e4b30bfe8a36fb8096251.pb.gz) | | 146889 | +| | [uspto-grants-2006](https://github.com/Open-Reaction-Database/ord-data/blob/main/data/5d/ord_dataset-5d7549b92eb94e1287c455cf3a228d5b.pb.gz) | | 54763 | +| | [uspto-grants-1980](https://github.com/Open-Reaction-Database/ord-data/blob/main/data/67/ord_dataset-6742d05ed8dd456ea92b7dfb8f63b91b.pb.gz) | | 13739 | +| | [uspto-grants-1991](https://github.com/Open-Reaction-Database/ord-data/blob/main/data/68/ord_dataset-682d4c94ea604ce0b055eb55f6477904.pb.gz) | | 19332 | +| | [uspto-grants-1984](https://github.com/Open-Reaction-Database/ord-data/blob/main/data/68/ord_dataset-683505b5a9bd4dc593f77c85687acf51.pb.gz) | | 12743 | +| | [uspto-grants-2003](https://github.com/Open-Reaction-Database/ord-data/blob/main/data/70/ord_dataset-702e59c58c5f42f2836972fe5bb69669.pb.gz) | | 43484 | +| | [uspto-grants-2004](https://github.com/Open-Reaction-Database/ord-data/blob/main/data/71/ord_dataset-7132516c8cb6483283df56a78b8743c0.pb.gz) | | 37039 | +| | [uspto-grants-1993](https://github.com/Open-Reaction-Database/ord-data/blob/main/data/77/ord_dataset-7740e8852f744ac3baabb50556fc163d.pb.gz) | | 22567 | +| | [uspto-grants-1990](https://github.com/Open-Reaction-Database/ord-data/blob/main/data/83/ord_dataset-83bfd1dac1b94c9eaa65b314baeb37d0.pb.gz) | | 18641 | +| | [uspto-grants-2010](https://github.com/Open-Reaction-Database/ord-data/blob/main/data/84/ord_dataset-84a3818d08e94ba2bd2fa91be2954cd1.pb.gz) | | 91348 | +| | [uspto-grants-1989](https://github.com/Open-Reaction-Database/ord-data/blob/main/data/8b/ord_dataset-8bd80d2f3a754d4fa983fca1f895c39c.pb.gz) | | 19790 | +| | [uspto-grants-2009](https://github.com/Open-Reaction-Database/ord-data/blob/main/data/99/ord_dataset-99677e107dad409997a2f362e07ec5ac.pb.gz) | | 70725 | +| | [uspto-grants-1982](https://github.com/Open-Reaction-Database/ord-data/blob/main/data/a3/ord_dataset-a3fa129955b045068520f7d018f37cc5.pb.gz) | | 11340 | +| | [uspto-grants-2014](https://github.com/Open-Reaction-Database/ord-data/blob/main/data/b2/ord_dataset-b2fba5174a374ce0a1d3598617974df1.pb.gz) | | 147957 | +| | [uspto-grants-2001](https://github.com/Open-Reaction-Database/ord-data/blob/main/data/b8/ord_dataset-b820e2b6e1474168ae2bfff5914f96ef.pb.gz) | | 42483 | +| | [uspto-grants-1992](https://github.com/Open-Reaction-Database/ord-data/blob/main/data/c1/ord_dataset-c19808d436894009b2929b3bf2a972df.pb.gz) | | 20159 | +| | [uspto-grants-1985](https://github.com/Open-Reaction-Database/ord-data/blob/main/data/ca/ord_dataset-ca5a32b5d663435e98c50c68d5ddf73f.pb.gz) | | 13628 | +| | [uspto-grants-2012](https://github.com/Open-Reaction-Database/ord-data/blob/main/data/cd/ord_dataset-cda008a678f14e8591cc845a37e85fed.pb.gz) | | 119695 | +| | [uspto-grants-2011](https://github.com/Open-Reaction-Database/ord-data/blob/main/data/d1/ord_dataset-d19aedb0dfd947f1933c0262803960d6.pb.gz) | | 100264 | +| | [uspto-grants-1995](https://github.com/Open-Reaction-Database/ord-data/blob/main/data/d9/ord_dataset-d9b6cc4de43c4597b14030ffd44791bc.pb.gz) | | 20177 | +| | [uspto-grants-1997](https://github.com/Open-Reaction-Database/ord-data/blob/main/data/df/ord_dataset-df21fa35f2d54662b00b89e12450c75e.pb.gz) | | 37068 | +| | [uspto-grants-2005](https://github.com/Open-Reaction-Database/ord-data/blob/main/data/e2/ord_dataset-e2103f90b283456b82024392b65719f5.pb.gz) | | 36478 | +| | [uspto-grants-2008](https://github.com/Open-Reaction-Database/ord-data/blob/main/data/f4/ord_dataset-f400f3024cb541b6884630bbe6e9dace.pb.gz) | | 56453 | +| | [uspto-grants-1994](https://github.com/Open-Reaction-Database/ord-data/blob/main/data/f6/ord_dataset-f6e510ee6abe48bb9f9ddd9a7153160c.pb.gz) | | 19599 | +| | [uspto-grants-1976](https://github.com/Open-Reaction-Database/ord-data/blob/main/data/fa/ord_dataset-fa5a7d9322b445ab8e1efb1dfda208f2.pb.gz) | | 17855 | +| (None) | [link](https://github.com/Open-Reaction-Database/ord-data/blob/main/data/0c/ord_dataset-0c75d67751634f0594b24b9f498b77c2.pb.gz) | | 256 | +| | [Imidazopyridines dataset](https://github.com/Open-Reaction-Database/ord-data/blob/main/data/10/ord_dataset-10b940e7982c4622b1e1ac879394aba6.pb.gz) | Data form a 3 component reaction approach towards diverse imidazopyridines | 384 | +| | [link](https://github.com/Open-Reaction-Database/ord-data/blob/main/data/cb/ord_dataset-cbcc4048add7468e850b6ec42549c70d.pb.gz) | | 288 | +| | [link](https://github.com/Open-Reaction-Database/ord-data/blob/main/data/d2/ord_dataset-d26118acda314269becc35db5c22dc59.pb.gz) | | 1728 |