cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25346/s6collfi/yuoobi
title: msXL_240v_MMSI+overhead+TX1050R_28_F.tif
DOI: 10.25346/s6collfi/l8rmkb
title: msXL_240v_MMSI+overhead+TX1050R_27_F.tif
DOI: 10.25346/s6collfi/kov5pt
title: msXL_240v_MMSI+overhead+RR940IR_23_F.tif
DOI: 10.25346/s6collfi/ht5dar
title: msXL_240v_MMSI+overhead+RR450RB_22_F.tif
DOI: 10.25346/s6collfi/b9chpg
title: msXL_240v_MMSI+overhead+RL940IR_21_F.tif
DOI: 10.25346/s6collfi/acv6kp
title: msXL_240v_MMSI+overhead+RL450RB_20_F.tif
DOI: 10.25346/s6collfi/yyzzna
title: msXL_240v_MMSI+overhead+M1050IR_19_F.tif
DOI: 10.25346/s6collfi/7v4gwq
title: msXL_240v_MMSI+overhead+M0940IR_67_F.tif
DOI: 10.25346/s6collfi/xxntvo
title: msXL_240v_MMSI+overhead+M0940IR_18_F.tif
DOI: 10.25346/s6collfi/59f86z
title: msXL_240v_MMSI+overhead+M0850IR_66_F.tif
DOI: 10.15468/dl.rerknz
title: Occurrence Download

description: A dataset containing 84 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Continent is North America",
 "Country is United States of America",
 "Geometry POLYGON((-125.08883 33.82717,-119.74534 33.82717,-119.74534 41.17356,-125.08883 41.17356,-125.08883 33.82717))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Sequoia sempervirens",
 "Year 2000-2025"
 ]
}

 The dataset includes 84 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006553-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25346/s6collfi/wjowad
title: msXL_240v_MMSI+overhead+M0850IR_17_F.tif
DOI: 10.25346/s6collfi/lcjjb8
title: msXL_240v_MMSI+overhead+M0780IR_16_F.tif
DOI: 10.25346/s6collfi/mgbeaq
title: msXL_240v_MMSI+overhead+M0735IR_65_F.tif
DOI: 10.25346/s6collfi/koc0tr
title: msXL_240v_MMSI+overhead+M0735IR_15_F.tif
DOI: 10.25346/s6collfi/d1ophw
title: msXL_240v_MMSI+overhead+M0700IR_14_F.tif
DOI: 10.25346/s6collfi/u3feeb
title: msXL_240v_MMSI+overhead+M0655DR_64_F.tif
DOI: 10.25346/s6collfi/pb3d2w
title: msXL_240v_MMSI+overhead+M0655DR_13_F.tif
DOI: 10.25346/s6collfi/g1pvcn
title: msXL_240v_MMSI+overhead+M0630RD_63_F.tif
DOI: 10.25346/s6collfi/0r9vst
title: msXL_240v_MMSI+overhead+M0630RD_12_F.tif
DOI: 10.25346/s6collfi/cyehpc
title: msXL_240v_MMSI+overhead+M0615RO_62_F.tif
DOI: 10.25346/s6collfi/ih3kay
title: msXL_240v_MMSI+overhead+M0615RO_11_F.tif
DOI: 10.25346/s6collfi/fjutfl
title: msXL_240v_MMSI+overhead+M0590AM_61_F.tif
DOI: 10.25346/s6collfi/ztel10
title: msXL_240v_MMSI+overhead+M0590AM_10_F.tif
DOI: 10.25346/s6collfi/xa1hij
title: msXL_240v_MMSI+overhead+M0560LI_60_F.tif
DOI: 10.25346/s6collfi/hwjewg
title: msXL_240v_MMSI+overhead+M0560LI_09_F.tif
DOI: 10.25346/s6collfi/uric2q
title: msXL_240v_MMSI+overhead+M0530GN_59_F.tif
DOI: 10.25346/s6collfi/0ml60e
title: msXL_240v_MMSI+overhead+M0530GN_08_F.tif
DOI: 10.25346/s6collfi/dzuz8p
title: msXL_240v_MMSI+overhead+M0505CN_58_F.tif
DOI: 10.25346/s6collfi/4jeu7b
title: msXL_240v_MMSI+overhead+M0505CN_07_F.tif
DOI: 10.25346/s6collfi/0u1xcv
title: msXL_240v_MMSI+overhead+M0470LB_57_F.tif
DOI: 10.25346/s6collfi/gm6jha
title: msXL_240v_MMSI+overhead+M0470LB_06_F.tif
DOI: 10.25346/s6collfi/ryztdn
title: msXL_240v_MMSI+overhead+M0450RB_56_F.tif
DOI: 10.25346/s6collfi/uroshc
title: msXL_240v_MMSI+overhead+M0450RB_05_F.tif
DOI: 10.25346/s6collfi/zeicbz
title: msXL_240v_MMSI+overhead+M0420VI_55_F.tif
DOI: 10.25346/s6collfi/y33y3q
title: msXL_240v_MMSI+overhead+M0420VI_04_F.tif
DOI: 10.25346/s6collfi/udan6a
title: msXL_240v_MMSI+overhead+M0400UV_54_F.tif
DOI: 10.25346/s6collfi/6rbv4h
title: msXL_240v_MMSI+overhead+M0400UV_03_F.tif
DOI: 10.25346/s6collfi/cfj7yt
title: msXL_240v_MMSI+overhead+M0385UV_53_F.tif
DOI: 10.25346/s6collfi/tvxqij
title: msXL_240v_MMSI+overhead+M0385UV_02_F.tif
DOI: 10.25346/s6collfi/lwykch
title: msXL_240v_MMSI+overhead+M0365UV_52_F.tif
DOI: 10.25346/s6collfi/l5qii4
title: msXL_240v_MMSI+overhead+M0365UV_01_F.tif
DOI: 10.25346/s6collfi/3cnsrb
title: msXL_240r_MMSI+overhead+W615R72_51_F.tif
DOI: 10.25346/s6collfi/ncazfj
title: msXL_240r_MMSI+overhead+W61587C_47_F.tif
DOI: 10.25346/s6collfi/x53tpu
title: msXL_240r_MMSI+overhead+W615665_44_F.tif
DOI: 10.25346/s6collfi/2zq3hs
title: msXL_240r_MMSI+overhead+W530R72_50_F.tif
DOI: 10.25346/s6collfi/p5rsw5
title: msXL_240r_MMSI+overhead+W53087C_46_F.tif
DOI: 10.25346/s6collfi/oob5va
title: msXL_240r_MMSI+overhead+W530665_43_F.tif
DOI: 10.25346/s6collfi/rwtdqx
title: msXL_240r_MMSI+overhead+W505R72_49_F.tif
DOI: 10.25346/s6collfi/cjk8aj
title: msXL_240r_MMSI+overhead+W50587C_45_F.tif
DOI: 10.25346/s6collfi/qsutmu
title: msXL_240r_MMSI+overhead+W505665_42_F.tif
DOI: 10.25346/s6collfi/zfy6qv
title: msXL_240r_MMSI+overhead+W450R72_48_F.tif
DOI: 10.25346/s6collfi/ukgwl9
title: msXL_240r_MMSI+overhead+W450R25_32_F.tif
DOI: 10.25346/s6collfi/jv81dq
title: msXL_240r_MMSI+overhead+W450G58_36_F.tif
DOI: 10.25346/s6collfi/35h3ib
title: msXL_240r_MMSI+overhead+W450B47_40_F.tif
DOI: 10.25346/s6collfi/9sj1mu
title: msXL_240r_MMSI+overhead+W450665_41_F.tif
DOI: 10.25346/s6collfi/1nh0xu
title: msXL_240r_MMSI+overhead+W400R25_31_F.tif
DOI: 10.5281/zenodo.17704401
title: proMGE databases : prokaryotic species reference gene cluster sequences v1ypg3
DOI: 10.5281/zenodo.17704403
title: proMGE databases : prokaryotic species reference gene cluster sequences v1ypg3
DOI: 10.25346/s6collfi/jacnf9
title: msXL_240r_MMSI+overhead+W400G58_35_F.tif
DOI: 10.25346/s6collfi/mw7hxr
title: msXL_240r_MMSI+overhead+W400B47_39_F.tif
DOI: 10.25346/s6collfi/lq6dyr
title: msXL_240r_MMSI+overhead+W385R25_30_F.tif
DOI: 10.25346/s6collfi/qw7olf
title: msXL_240r_MMSI+overhead+W385G58_34_F.tif
DOI: 10.15468/dl.wrryn5
title: Occurrence Download

description: A dataset containing 533 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is one of (CSIC-Real Jardín Botánico-Anthos. Sistema de Información de las Plantas de España, Banco de Datos de la Biodiversidad de la Comunitat Valenciana, Colección de plantas vasculares del herbario de la Universitat de València (VAL), Col·lecció de plantes de l'herbari de la Universitat de Barcelona)",
 "Geometry POLYGON((3.52589 42.3849,-2.13751 43.48347,-8.43017 43.97316,-9.5919 43.55367,-9.49509 42.02634,-6.30035 41.73804,-7.89772 37.06567,-6.13093 36.21729,-0.99999 36.68451,3.52589 42.3849))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Senecio lividus"
 ]
}

 The dataset includes 533 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006555-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25346/s6collfi/7ygmdm
title: msXL_240r_MMSI+overhead+W385B47_38_F.tif
DOI: 10.25346/s6collfi/kw0enx
title: msXL_240r_MMSI+overhead+W365R25_29_F.tif
DOI: 10.25346/s6collfi/fzk4ca
title: msXL_240r_MMSI+overhead+W365G58_33_F.tif
DOI: 10.25346/s6collfi/aq2llt
title: msXL_240r_MMSI+overhead+W365B47_37_F.tif
DOI: 10.25346/s6collfi/jqwrrt
title: msXL_240r_MMSI+overhead+TX940IR_26_F.tif
DOI: 10.25346/s6collfi/bktzwg
title: msXL_240r_MMSI+overhead+TX735IR_25_F.tif
DOI: 10.25346/s6collfi/0aatpa
title: msXL_240r_MMSI+overhead+TX630RD_24_F.tif
DOI: 10.25346/s6collfi/u3ganl
title: msXL_240r_MMSI+overhead+TX1050R_28_F.tif
DOI: 10.25346/s6collfi/1mcylg
title: msXL_240r_MMSI+overhead+TX1050R_27_F.tif
DOI: 10.25346/s6collfi/xeiszm
title: msXL_240r_MMSI+overhead+RR940IR_23_F.tif
DOI: 10.25346/s6collfi/vlyge6
title: msXL_240r_MMSI+overhead+RR450RB_22_F.tif
DOI: 10.25346/s6collfi/czrzjd
title: msXL_240r_MMSI+overhead+RL940IR_21_F.tif
DOI: 10.25346/s6collfi/obgcib
title: msXL_240r_MMSI+overhead+RL450RB_20_F.tif
DOI: 10.25346/s6collfi/aqfru5
title: msXL_240r_MMSI+overhead+M1050IR_19_F.tif
DOI: 10.25346/s6collfi/rsdj7c
title: msXL_240r_MMSI+overhead+M0940IR_67_F.tif
DOI: 10.25346/s6collfi/jdqlgq
title: msXL_240r_MMSI+overhead+M0940IR_18_F.tif
DOI: 10.25346/s6collfi/zp9v8t
title: msXL_240r_MMSI+overhead+M0850IR_66_F.tif
DOI: 10.25346/s6collfi/kgbj91
title: msXL_240r_MMSI+overhead+M0850IR_17_F.tif
DOI: 10.25346/s6collfi/pzvwyn
title: msXL_240r_MMSI+overhead+M0780IR_16_F.tif
DOI: 10.25346/s6collfi/1ghlua
title: msXL_240r_MMSI+overhead+M0735IR_65_F.tif
DOI: 10.25346/s6collfi/lmqqey
title: msXL_240r_MMSI+overhead+M0735IR_15_F.tif
DOI: 10.25346/s6collfi/4wlatm
title: msXL_240r_MMSI+overhead+M0700IR_14_F.tif
DOI: 10.25346/s6collfi/lk5dnr
title: msXL_240r_MMSI+overhead+M0655DR_64_F.tif
DOI: 10.25346/s6collfi/p4kiez
title: msXL_240r_MMSI+overhead+M0655DR_13_F.tif
DOI: 10.25346/s6collfi/ligd1y
title: msXL_240r_MMSI+overhead+M0630RD_63_F.tif
DOI: 10.25346/s6collfi/0ft5o6
title: msXL_240r_MMSI+overhead+M0630RD_12_F.tif
DOI: 10.25346/s6collfi/4ribwr
title: msXL_240r_MMSI+overhead+M0615RO_62_F.tif
DOI: 10.25346/s6collfi/ormiiv
title: msXL_240r_MMSI+overhead+M0615RO_11_F.tif
DOI: 10.25346/s6collfi/pyr4sx
title: msXL_240r_MMSI+overhead+M0590AM_61_F.tif
DOI: 10.25346/s6collfi/ut4fsm
title: msXL_240r_MMSI+overhead+M0590AM_10_F.tif
DOI: 10.25346/s6collfi/dxv5ni
title: msXL_240r_MMSI+overhead+M0560LI_60_F.tif
DOI: 10.25346/s6collfi/6oszhf
title: msXL_240r_MMSI+overhead+M0560LI_09_F.tif
DOI: 10.25346/s6collfi/mujrfe
title: msXL_240r_MMSI+overhead+M0530GN_59_F.tif
DOI: 10.25346/s6collfi/ftj8gf
title: msXL_240r_MMSI+overhead+M0530GN_08_F.tif
DOI: 10.25346/s6collfi/kfkzxf
title: msXL_240r_MMSI+overhead+M0505CN_58_F.tif
DOI: 10.5281/zenodo.13912540
title: Dataset for: "Synthesis and Aggregation of Amphiphilic Porphyrin-Perylenebisimide Dyads"

description: Dataset of the raw data used for the publication "Synthesis and Aggregation of Amphiphilic Porphyrin-Perylenebisimide Dyads"
DOI: 10.5281/zenodo.13912541
title: Dataset for: "Synthesis and Aggregation of Amphiphilic Porphyrin-Perylenebisimide Dyads"

description: Dataset of the raw data used for the publication "Synthesis and Aggregation of Amphiphilic Porphyrin-Perylenebisimide Dyads"
DOI: 10.15468/dl.azk7nf
title: Occurrence Download

description: A dataset containing 941 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Pseudolarix Gordon & Glend."
 ]
}

 The dataset includes 941 records from 96 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013711-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hfn25m
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Desmodium uncinatum",
 "Country is Zambia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024649-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qtqb7r
title: Occurrence Download

description: A dataset containing 87552 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Harmonia axyridis",
 "HasCoordinate is true",
 "Country is Germany"
 ]
}

 The dataset includes 87552 records from 77 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024622-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57760/sciencedb.25450
title: Data set of spinal mobility of AS patients in Fujian Provincial Hospital and Longyan People's Hospital from 2021 to 2022
title: Data set of spinal mobility of AS patients in Fujian Provincial Hospital and Longyan People's Hospital from 2021 to 2022

description: This study was conducted at two collaborating centers, with the following GPS coordinates:1. Fujian Provincial Hospital: No. 817 Middle Road, Gulou District, Fuzhou City, Fujian Province (26.0808°N, 119.2944°E). 2. Longyan People’s Hospital: No. 91 North Road, Xinluo District, Longyan City, Fujian Province (25.0916°N, 117.0175°E). In this multicenter case-control study, we recruited patients with AS from the outpatient department and the ward of the Rheumatology Department of Fujian Provincial Hospital and Longyan People's Hospital of Fujian Province.
description: This study was conducted at two collaborating centers, with the following GPS coordinates:1. Fujian Provincial Hospital: No. 817 Middle Road, Gulou District, Fuzhou City, Fujian Province (26.0808°N, 119.2944°E). 2. Longyan People’s Hospital: No. 91 North Road, Xinluo District, Longyan City, Fujian Province (25.0916°N, 117.0175°E). In this multicenter case-control study, we recruited patients with AS from the outpatient department and the ward of the Rheumatology Department of Fujian Provincial Hospital and Longyan People's Hospital of Fujian Province.
DOI: 10.57760/sciencedb.25446
title: The codes and data used to calculate the volume and surface area metrics of detailed features on the 3D model of axe impact marks.
title: 计算斧具打击痕迹的3D模型上的细节特特征的体积和表面积指标所使用的代码和数据

description: Using the GOM Inspect analysis software for deviation comparison to obtain point cloud data.
description: Using the GOM Inspect analysis software for deviation comparison to obtain point cloud data.
DOI: 10.15468/dl.nw4az3
title: Occurrence Download

description: A dataset containing 1457 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Sargassum thunbergii (Montagne ex Roth) O.Kuntze, 1893",
 "Year 1925-2025"
 ]
}

 The dataset includes 1457 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013712-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57760/sciencedb.22598
title: Prognostic value of preoperative L3 SMI, AGR, and PNI in the overall survival of patients after radical gastric cancer surgery
title: 《术前L3 SMI、AGR、PNI在胃癌根治术后患者总体生存中的预测价值》补充材料

description: We collected baseline data from patients who underwent radical gastrectomy without receiving neoadjuvant chemotherapy between 2011 and 2018. Additionally, we gathered various preoperative test indicators and monitored the survival status of the patients. The L3 SMI values of patients were assessed using preoperative CT scans, and eight nutritional inflammatory markers were calculated, including the neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), lymphocyte-to-monocyte ratio (LMR), systemic immune-inflammation index (SII), systemic inflammation response index (SIRI), pan-immune-inflammation value (PIV), albumin-to-globulin ratio (AGR), and prognostic nutritional index (PNI). Subsequently, these patients were followed up. The critical values of each indicator were calculated using receiver operating characteristic (ROC) curve analysis, and the L3 SMI values were categorized into low, normal, and high groups using X-tiler software. Survival outcomes among groups were compared using the Kaplan-Meier method, while both univariate and multivariate Cox proportional hazards models were employed to analyze the relationship between each indicator and survival. The C-index was calculated to evaluate the predictive ability of the indicators, and subgroup analyses were conducted to explore the consistency of the relevant indicators across different subgroups.
description: We collected baseline data from patients who underwent radical gastrectomy without receiving neoadjuvant chemotherapy between 2011 and 2018. Additionally, we gathered various preoperative test indicators and monitored the survival status of the patients. The L3 SMI values of patients were assessed using preoperative CT scans, and eight nutritional inflammatory markers were calculated, including the neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), lymphocyte-to-monocyte ratio (LMR), systemic immune-inflammation index (SII), systemic inflammation response index (SIRI), pan-immune-inflammation value (PIV), albumin-to-globulin ratio (AGR), and prognostic nutritional index (PNI). Subsequently, these patients were followed up. The critical values of each indicator were calculated using receiver operating characteristic (ROC) curve analysis, and the L3 SMI values were categorized into low, normal, and high groups using X-tiler software. Survival outcomes among groups were compared using the Kaplan-Meier method, while both univariate and multivariate Cox proportional hazards models were employed to analyze the relationship between each indicator and survival. The C-index was calculated to evaluate the predictive ability of the indicators, and subgroup analyses were conducted to explore the consistency of the relevant indicators across different subgroups.
DOI: 10.15468/dl.mearsv
title: Occurrence Download

description: A dataset containing 214 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Dactylis glomerata",
 "Year 1970-2000"
 ]
}

 The dataset includes 214 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004601-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qzjqdu
title: Occurrence Download

description: A dataset containing 196423 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lysimachia thyrsiflora"
 ]
}

 The dataset includes 196423 records from 592 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004558-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w3hwq2
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((88.76035 24.45912, 88.683207 24.453543, 88.607984 24.436951, 88.53655000000001 24.409756, 88.470679 24.372634, 88.41200000000001 24.326508, 88.361963 24.272523, 88.32179499999999 24.212016, 88.29247700000001 24.146485, 88.274716 24.07755, 88.26893099999999 24.006912, 88.275246 23.936313, 88.293485 23.867488, 88.323183 23.802128, 88.36359400000001 23.741837, 88.413715 23.688091, 88.47230999999999 23.642204, 88.537938 23.605298, 88.608992 23.578275, 88.68373699999999 23.561793, 88.76035 23.556253, 88.836963 23.561793, 88.911708 23.578275, 88.98276199999999 23.605298, 89.04839 23.642204, 89.10698499999999 23.688091, 89.157106 23.741837, 89.197517 23.802128, 89.227215 23.867488, 89.245454 23.936313, 89.251769 24.006912, 89.24598400000001 24.07755, 89.228223 24.146485, 89.198905 24.212016, 89.158737 24.272523, 89.1087 24.326508, 89.050021 24.372634, 88.98415 24.409756, 88.912716 24.436951, 88.83749299999999 24.453543, 88.76035 24.45912))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 11 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004600-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6aaexj
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((88.76035 24.45912, 88.683207 24.453543, 88.607984 24.436951, 88.53655000000001 24.409756, 88.470679 24.372634, 88.41200000000001 24.326508, 88.361963 24.272523, 88.32179499999999 24.212016, 88.29247700000001 24.146485, 88.274716 24.07755, 88.26893099999999 24.006912, 88.275246 23.936313, 88.293485 23.867488, 88.323183 23.802128, 88.36359400000001 23.741837, 88.413715 23.688091, 88.47230999999999 23.642204, 88.537938 23.605298, 88.608992 23.578275, 88.68373699999999 23.561793, 88.76035 23.556253, 88.836963 23.561793, 88.911708 23.578275, 88.98276199999999 23.605298, 89.04839 23.642204, 89.10698499999999 23.688091, 89.157106 23.741837, 89.197517 23.802128, 89.227215 23.867488, 89.245454 23.936313, 89.251769 24.006912, 89.24598400000001 24.07755, 89.228223 24.146485, 89.198905 24.212016, 89.158737 24.272523, 89.1087 24.326508, 89.050021 24.372634, 88.98415 24.409756, 88.912716 24.436951, 88.83749299999999 24.453543, 88.76035 24.45912))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 11 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004603-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.30081430
title: Candidate Compound Library for DeepDrugDiscovery platform

description: The DeepDrugDiscovery platform utilized a carefully curated library of 1.16 million compounds sourced from established commercial databases<b>. </b>This strategic selection of commercial sources ensures most hits are readily procurable, bypassing synthesis bottlenecks and expediting validation from computational prediction to biological testing. To ensure the chemical diversity and broad applicability of our screening approach, we conducted comprehensive diversity metrics analysis across the entire library.
DOI: 10.6084/m9.figshare.30081430.v3
title: Candidate Compound Library for DeepDrugDiscovery platform

description: The DeepDrugDiscovery platform utilized a carefully curated library of 1.16 million compounds sourced from established commercial databases<b>. </b>This strategic selection of commercial sources ensures most hits are readily procurable, bypassing synthesis bottlenecks and expediting validation from computational prediction to biological testing. To ensure the chemical diversity and broad applicability of our screening approach, we conducted comprehensive diversity metrics analysis across the entire library.
DOI: 10.6084/m9.figshare.30081430.v2
title: Candidate Compound Library for DeepNAE platform

description: The DeepNAE platform utilized a carefully curated library of 1.16 million compounds sourced from established commercial databases<b>. </b>This strategic selection of commercial sources ensures most hits are readily procurable, bypassing synthesis bottlenecks and expediting validation from computational prediction to biological testing. To ensure the chemical diversity and broad applicability of our screening approach, we conducted comprehensive diversity metrics analysis across the entire library.
DOI: 10.6084/m9.figshare.31123138
title: DATASET

description: dataset
DOI: 10.6084/m9.figshare.31123138.v1
title: DATASET

description: dataset