cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.14272/ijebcczwnnyqip-uhfffaoysa-m/chmo0000470
title: mass spectrometry (MS) ()
title: InChI=1S/C24H18N5.ClH/c1-28-15-14-19(22(16-28)26-27-25)17-10-12-18(13-11-17)29-23-8-4-2-6-20(23)21-7-3-5-9-24(21)29;/h2-16H,1H3;1H/q+1;/p-1

description: dataset for mass spectrometry (MS) ESI-MS for [C24H18N5]+: Calc. m/z = 376.1557, found m/z = 376.1548.
DOI: 10.14272/vnrjbelpcozabg-uhfffaoysa-m/chmo0000630
title: infrared absorption spectroscopy (IR) ()
title: InChI=1S/C24H20N5.ClH/c1-28-17-16-23(24(18-28)26-27-25)19-12-14-22(15-13-19)29(20-8-4-2-5-9-20)21-10-6-3-7-11-21;/h2-18H,1H3;1H/q+1;/p-1

description: dataset for infrared absorption spectroscopy (IR) IR (ATR, ṽ) = 3851 (m), 3646 (m), 3479 (vs), 3440 (vs), 3405 (vs), 3265 (s), 3254 (s), 3196 (s), 3123 (m), 3061 (s), 3035 (s), 3019 (s), 3011 (s), 2991 (s), 2980 (s), 2951 (s), 2923 (s), 2128 (vs), 1585 (vs), 1488 (vs), 1483 (vs), 1472 (vs), 1448 (s), 1329 (vs), 1306 (s), 1270 (vs), 1194 (vs), 1180 (vs), 1173 (s), 754 (s), 695 (s) cm–1.
DOI: 10.14272/vnrjbelpcozabg-uhfffaoysa-m.1
title: C24H20ClN5
title: InChI=1S/C24H20N5.ClH/c1-28-17-16-23(24(18-28)26-27-25)19-12-14-22(15-13-19)29(20-8-4-2-5-9-20)21-10-6-3-7-11-21;/h2-18H,1H3;1H/q+1;/p-1

description: This is a physical chemical entity[CHEBI_24431] associated with a molecule[CHEBI_25367]. The molecule[CHEBI_25367] can be described by the following structural desciptors[cheminf_000085]: InChI descriptor[cheminf_000113]: InChI=1S/C24H20N5.ClH/c1-28-17-16-23(24(18-28)26-27-25)19-12-14-22(15-13-19)29(20-8-4-2-5-9-20)21-10-6-3-7-11-21;/h2-18H,1H3;1H/q+1;/p-1, and canonical SMILES descriptor[cheminf_000007]: [N-]=[N+]=Nc1c[n+](C)ccc1c1ccc(cc1)N(c1ccccc1)c1ccccc1.[Cl-], and by the IUPAC name[cheminf_000107]: . The physical chemical entity[CHEBI_24431] has a component solvent[CHEBI_46787] which is described by the canonical SMILES descriptor[cheminf_000007]: The physical chemical entity[CHEBI_24431] has the following Sample ID as registered in the research data repository chemotion (www.chemotion-repository.net, https://doi.org/10.25504/FAIRsharing.iagXcR): CRS-35875 The physical chemical entity[CHEBI_24431] can be described by the physical descriptors [CHEMINF_000025]: Melting point descriptor[CHEMINF_000256]: Boiling point descriptor[CHEMINF_000257]: Refractive index descriptor[CHEMINF_000253]: The physical chemical entity[CHEBI_24431] can be further described by the following assays[OBI:0000070][CHMO:0001133]: CHMO:0000630 | infrared absorption spectroscopy (IR) CHMO:0000593 | 1H nuclear magnetic resonance spectroscopy (1H NMR) CHMO:0000595 | 13C nuclear magnetic resonance spectroscopy (13C NMR) CHMO:0000470 | mass spectrometry (MS) The physical chemical entity[CHEBI_24431] was deposited to the Molecule Archive of the Karlsruhe Insitute of Technology (KIT) with the following Sample ID: Used ontologies: CHEBI - Chemical Entities of Biological Interest CHEMINF - chemical information ontology (information entities about chemical entities) CHMO - Chemical Methods Ontology OBI - Ontology for Biomedical Investigations
DOI: 10.14272/vnrjbelpcozabg-uhfffaoysa-m/chmo0000595
title: 13C nuclear magnetic resonance spectroscopy (13C NMR) ()
title: InChI=1S/C24H20N5.ClH/c1-28-17-16-23(24(18-28)26-27-25)19-12-14-22(15-13-19)29(20-8-4-2-5-9-20)21-10-6-3-7-11-21;/h2-18H,1H3;1H/q+1;/p-1

description: dataset for 13C nuclear magnetic resonance spectroscopy (13C NMR) 13C NMR (126 MHz, DMSO-d6, ppm) δ = 149.9 (1C, CAr), 145.9 (2C, CAr), 145.2 (1C, CAr), 140.7 (1C, CAr), 138.2 (1C, CAr), 136.9 (1C, CAr), 131.2 (2C, CAr), 130.0 (4C, CAr), 126.6 (1C, CAr), 125.7 (4C, CAr), 124.9 (2C, CAr), 124.0 (1C, CAr), 119.6 (2C, CAr), 47.1 (1C, CH3).
DOI: 10.14272/vnrjbelpcozabg-uhfffaoysa-m/chmo0000593
title: 1H nuclear magnetic resonance spectroscopy (1H NMR) ()
title: InChI=1S/C24H20N5.ClH/c1-28-17-16-23(24(18-28)26-27-25)19-12-14-22(15-13-19)29(20-8-4-2-5-9-20)21-10-6-3-7-11-21;/h2-18H,1H3;1H/q+1;/p-1

description: dataset for 1H nuclear magnetic resonance spectroscopy (1H NMR) 1H NMR (500 MHz, DMSO-d6, ppm) δ = 9.18 (s, 1H, HAr), 8.71 (d, J = 6.3 Hz, 1H, HAr), 8.09 (d, J = 6.4 Hz, 1H, HAr), 7.74–7.67 (m, 2H, HAr), 7.45–7.37 (m, 4H, HAr), 7.20 (td, J = 7.3, 1.2 Hz, 2H, HAr), 7.18–7.14 (m, 4H, HAr), 7.01–6.95 (m, 2H, HAr), 4.32 (s, 3H, CH3).
DOI: 10.14272/vnrjbelpcozabg-uhfffaoysa-m/chmo0000470
title: mass spectrometry (MS) ()
title: InChI=1S/C24H20N5.ClH/c1-28-17-16-23(24(18-28)26-27-25)19-12-14-22(15-13-19)29(20-8-4-2-5-9-20)21-10-6-3-7-11-21;/h2-18H,1H3;1H/q+1;/p-1

description: dataset for mass spectrometry (MS) MS (ESI, %) m/z = 379 (25) [M+H]+, 378 (100) [M]+, 350 (29) [M-N2]+. ESI-MS for [C24H20N5]+: Calc. m/z = 378.1714, found m/z = 378.1704.
DOI: 10.34740/kaggle/dsv/6485049
title: Luxury Watch Listings
DOI: 10.34740/kaggle/dsv/6485072
title: US counties COVID 19 dataset
DOI: 10.21227/77am-e529
title: Annotated Drug Use Tweets

description: We introduce an English Twitter dataset designed for the detection of online drug use, comprising 112,057 tweets accompanied by metadata. This dataset underwent manual annotation by a team of expert annotators consisting of around 30 members, these annotators, possessing diverse multidisciplinary backgrounds and expertise, committed over six months to meticulously label each tweet. In order to classify a tweet as related to drug use or not, specific criteria must be met, including references to actions like using, smuggling, promoting, encouraging, selling, or buying illicit drugs of any kind. Within the drug use dataset, we found a total of 112,057 tweets posted by 90,621 unique users. Among these, 48,080 tweets (43%) were classified as drug use within (T) label. In contrast, 63,977 tweets (57%) were classified as non drug use within (F) label. To assess the dataset's balance, we applied Shannon’s entropy measure, yielding a result of 0.985, which indicates a well-balanced dataset.
DOI: 10.6084/m9.figshare.23713248
title: Dataset: International Pharmacy Students' Perceptions Towards Artificial Intelligence in Medicine - A Multinational, Multicentre Cross-Sectional Study

description: This dataset contains all anonymous data generated and analysed for publication.
DOI: 10.25345/c5w37m599
title: MassIVE MSV000092879 - Ketone body metabolism declines with age in mice in a sex-dependent manner
title: Understanding how our cells maintain energy homeostasis has long been a focus of aging biology. A decline in energy metabolism is central to many age-related diseases, such as Alzheimers disease, heart failure, frailty, and delirium. Intervening in pathways involved in energy homeostasis can extend healthy lifespan. When the primary energy substrate glucose is scarce, mice and humans partially switch cellular energetic needs to fat derived ketone bodies BHB, acetoacetate, acetone. Aging is associated with glucose intolerance and insulin insensitivity yet surprisingly, what role ketone body metabolism might play in compensating for impaired glucose utilization in age related diseases is understudied. We investigated how endogenous ketone body production through short term fasting, non fasting basal and KD induced ketogenesis and ketolysis are modulated by age across the lifespan of male and female C57BL/6N mice aged 3 to 5, 12 to15, and 20 to 22 months. We hypothesized that hepatic ketogenesis is compensatory in aging, particularly to glucose hypometabolism we commonly see in age and age-related diseases. Through gene expression, untargeted proteomics, plasma lipidomics, and non-radioactive stable U13C6 glucose and U13C4BHB metabolic tracers, we find that hepatic ketogenesis is not compensatory and declines with age in fasting, basal and even KD induced ketogenesis through the decline in hepatic PPAR signaling. A 1week KD feeding did however augment the basal declines in hepatic ketogenesis, resulting in a 10 fold increase in plasma BHB. To our surprise, the declines we observed under the three metabolic states also revealed strong sexual dimorphism in ketone body metabolism. Only in fasting and non-fasting basal ketogenesis did young female mice demonstrate higher ketogenic capacity, whereas aged male mice were more responsive to KD. These sex differences in plasma BHB were exclusive to hepatic ketogenesis as our stable isotope tracer study revealed a higher oxidation rate of U13C6 glucose in aged females under non-fasting basal conditions while males had higher oxidation rates of U13C6 glucose and U13C4 BHB in both non-fasting basal and KD induced ketogenic conditions. Additionally, we discovered a strong age dependent decline in the oxidation of U13C4BHB only in males, suggesting that ketone body metabolism in regulated in a sex dependent manner. Thus, our findings provide additional insights into age and sex dependent changes in ketone body metabolism and underscore the importance of improving ketone body oxidation in diseases and conditions of aging.
DOI: 10.5281/zenodo.8343513
title: Dataset for "Separate measurement- and feedback-driven entanglement transitions in the stochastic control of chaos"

description: Raw datasets used in the paper "Separate measurement- and feedback-driven entanglement transitions in the stochastic control of chaos". Use with the GitHub repository to reproduce results and figures from the referenced paper (https://github.com/clema12/CliffordBernoulli)
DOI: 10.34740/kaggle/dsv/6485092
title: 10 latest reviews of each London Mcdonald's
DOI: 10.34740/kaggle/dsv/6485212
title: arXiv Dataset
DOI: 10.5281/zenodo.8352355
title: 230916 histograms

description: Histograms and miscellaneous plots for Apple Valley (2022), Hall Meadows (2022), Highway 93 (2022), and Legacy 1 (LiDAR and 2019)
DOI: 10.5281/zenodo.8352354
title: 230916 histograms

description: Histograms and miscellaneous plots for Apple Valley (2022), Hall Meadows (2022), Highway 93 (2022), and Legacy 1 (LiDAR and 2019)
DOI: 10.6084/m9.figshare.22715158.v5
title: Matbench Discovery Data Files v1.0.0

description: These are the v1 data files for Matbench Discovery, a benchmark for machine learning energy models on inorganic crystal stability prediction from unrelaxed structures. It contains relaxed structures of the MP training set, initial+relaxed structures of the WBM test set, plus several checkpoints for models trained on this data specifically for this benchmark. For a description of each file, see https://matbench-discovery.materialsproject.org/contribute#--direct-download.The full force field training set containing 1.3M structures along with their energies, forces, stresses and magmons is available at https://figshare.com/articles/dataset/23713842.
DOI: 10.34740/kaggle/dsv/6485258
title: Global Crypto Currency Price Database
DOI: 10.34740/kaggle/dsv/6485301
title: Youtube Trending Video - Taiwan & Hong Kong
DOI: 10.34740/kaggle/dsv/6485302
title: BBC News
DOI: 10.5281/zenodo.8347415
title: Data sets and Results associated with clingen-svi-comp_calibration

description: This contains data sets and results associated with the paper "Calibration of computational tools for missense variant pathogenicity classification and ClinGen recommendations for PP3/BP4 criteria" and the associated GitHub repo. Each compressed directory contains a README file describing the files and directory structures
DOI: 10.5281/zenodo.8347414
title: Data sets and Results associated with clingen-svi-comp_calibration

description: This contains data sets and results associated with the paper "Calibration of computational tools for missense variant pathogenicity classification and ClinGen recommendations for PP3/BP4 criteria" and the associated GitHub repo. Each compressed directory contains a README file describing the files and directory structures
DOI: 10.34740/kaggle/dsv/6485340
title: Go4CAPTCHA
DOI: 10.57841/casdc.0002206
title: 一种可应用于锂金属电池的协调稳定三维负极和陶瓷固体电解质的简便策略数据集
DOI: 10.57841/casdc.0002207
title: 氮化界面调控锂沉积策略可实现用于高压锂金属电池的阻燃电解质数据集
DOI: 10.21227/detf-4q94
title: Indonesian Export Value

description: This study uses monthly data on the value of Indonesian exports (Million US$) obtained from the Central Statistics Agency (BPS) from January 1993 to December 2022. The process of collecting export data by BPS is based on export documents or Goods Export Notification (PEB) filled out by exporters and has been given a loading permit by the Customs and Excise Service Office, then sent to BPS and Bank Indonesia (BI). Since 2015, other data sources in export recording are records from other agencies such as PT POS Indonesia, and sea border export surveys. The exports recorded are production from all regions of Indonesia. In the practice of transactions and recording, exports are calculated using the Free on Board (FoB) system which is valued in US Dollars (US$).
DOI: 10.57841/casdc.0002208
title: 费托合成蜡加氢异构生产高档润滑油基础油技术百吨级中试验数据集
DOI: 10.57841/casdc.0002209
title: 费托合成蜡加氢异构生产高档润滑油基础油技术吨级产品性能测试数据集
DOI: 10.57841/casdc.0002210
title: 费托合成蜡加氢异构生产高档润滑油基础油技术催化剂工业放大试验数据集
DOI: 10.57841/casdc.0002211
title: 0.5吨级燃气锅炉用350kW低氮燃烧器相关试验报告、证书及实验数据
DOI: 10.57841/casdc.0002212
title: 1吨级燃气锅炉用700kW低氮燃烧器相关检测报告，试验报告、证书，实验数据
DOI: 10.57841/casdc.0002213
title: 甲醇燃料电池电动车动力电源典型行驶工况发电效率测试数据
DOI: 10.57841/casdc.0002214
title: 甲醇燃料电池电动车动力电源电堆最高效率测试数据
DOI: 10.57841/casdc.0002215
title: 费托合成尾气芳构化关键技术研发数据集-催化剂制备吨级放大及工业示范评价
DOI: 10.57841/casdc.0002216
title: 甲醇燃料电池电动车动力电源系统低温贮存和启动温度测试数据
DOI: 10.57841/casdc.0002217
title: 适配2000td气化炉的气化细灰流化熔融燃烧工程技术方案数据集
DOI: 10.57841/casdc.0002218
title: 煤气化细灰流化熔融燃烧脱碳关键技术研究论文数据集
DOI: 10.34740/kaggle/dsv/6485448
title: WallStreetBets 2022
DOI: 10.57841/casdc.0002219
title: 费托合成尾气芳构化关键技术研发数据集-万吨级工艺软件包
DOI: 10.5519/qd.gqffiefe
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (173 records)
DOI: 10.57841/casdc.0002220
title: 新一代二甲醚羰基化催化剂性能数据集
DOI: 10.57841/casdc.0002221
title: 新一代乙酸甲酯加氢催化剂性能数据集
DOI: 10.57841/casdc.0002222
title: 抗烧结Au₲MgGa2O4复合氧化铈催化剂对水汽转换和催化燃烧反应的催化性能提升
DOI: 10.57841/casdc.0002223
title: 《碳中和行动舆情监测快报》
DOI: 10.57841/casdc.0002224
title: 抗积碳Au–Ni/MgAl2O4催化剂催化合成气直接甲烷化反应
DOI: 10.57841/casdc.0002225
title: 《洁净能源领域年度态势分析报告》
DOI: 10.57841/casdc.0002226
title: 《洁净能源战略研究参考》专题咨询研究报告
DOI: 10.57841/casdc.0002227
title: 《洁净能源重大信息专报》
DOI: 10.57841/casdc.0002228
title: 《洁净能源科技动态监测快报》月刊
DOI: 10.57841/casdc.0002229
title: 稳定的Ni0.1Mg0.9Al2O4催化剂通过节水的干甲烷化过程催化合成气直接制备天然气
DOI: 10.57841/casdc.0002230
title: 低载量热稳定钌催化剂催化甲烷二氧化碳高温重整反应
DOI: 10.57841/casdc.0002231
title: 一种非可还原氧化物修饰的水热稳定的Pd/MgAl2O4催化剂用于甲烷燃烧
DOI: 10.57841/casdc.0002232
title: 高载量高温热稳定的Pt1/MgAl1.2Fe0.8O4 单原子催化剂
DOI: 10.57841/casdc.0002233
title: 第一副族金属对PtMgAl2O4催化剂催化丙烷脱氢制丙烯的影响数据集
DOI: 10.57841/casdc.0002234
title: 优异抗烧结性能的金纳米催化剂催化柴油车尾气氧化
DOI: 10.57841/casdc.0002235
title: SiC 陶瓷构件测试数据与报告数据集
DOI: 10.57841/casdc.0002236
title: 离子液体测试数据与报告数据集
DOI: 10.57841/casdc.0002237
title: 合成气一步法制长链α-烯烃技术96h工业示范装置运行实验记录数据集
DOI: 10.57841/casdc.0002238
title: 低粘度mPAO基础油中试产品性能评价数据集
DOI: 10.57841/casdc.0002239
title: 低粘度mPAO基础油配方应用研究数据集
DOI: 10.57841/casdc.0002240
title: 低粘度mPAO基础油中试试验数据集
DOI: 10.57841/casdc.0002241
title: 解耦燃烧数据集
DOI: 10.57841/casdc.0002242
title: 双作用自由活塞型斯特林发电系统性能研究
DOI: 10.57841/casdc.0002243
title: 超长重力热管开采干热岩地热能场地实验（河北唐山）相关实验数据及报告
DOI: 10.34740/kaggle/dsv/6485539
title: Faisal
DOI: 10.57841/casdc.0002244
title: 费托合成熔铁催化剂选型过程数据集
DOI: 10.57841/casdc.0002245
title: 离子液体催化碳酸酯聚合反应数据-数据集
DOI: 10.57841/casdc.0002246
title: 万吨级示范装置基础数据工艺包-数据集
DOI: 10.57841/casdc.0002247
title: 以氨基酸离子液体为催化剂，采用非光气法合成具有高分子量和先进性能的生物衍生聚碳酸酯-论文数据集
DOI: 10.57841/casdc.0002248
title: 关于酰胺基阴离子功能化离子液体高效合成聚碳酸异山梨酯的研究-论文数据集
DOI: 10.57841/casdc.0002249
title: 通过异山梨醇和碳酸二甲酯的熔融聚合，经济有效地合成了高分子量生物基聚碳酸酯-论文数据集
DOI: 10.57841/casdc.0002250
title: 利用可伸缩的双核离子液体平衡异山梨醇的endo-OH和exo-OH反应活性差以高效合成聚异山梨醇碳酸酯-论文数据集
DOI: 10.5281/zenodo.8201613
title: Red_Giants Catalog

description: 该数据集由基于卷积神经网络的红巨星搜索方法提供。该数据集位于SMSS巡天项目子区域,通过CBAMResNets模型进行数据清洗和搜索,并与vgg、tpc等模型对比后,得到了该子区域相对完整可靠的红巨星星表- 提供区域。
DOI: 10.57841/casdc.0002251
title: 无金属条件下碳酸二甲酯和异山梨醇一锅法合成生物基聚碳酸酯-论文数据集
DOI: 10.57841/casdc.0002252
title: 双位点功能化离子液体催化异山梨醇和碳酸二甲酯一步熔融缩聚合成生物基聚碳酸酯-论文数据集
DOI: 10.57841/casdc.0002253
title: 碳中和重点技术清单
DOI: 10.57841/casdc.0002254
title: 离子液体法天然气脱碳新技术实验测试数据数据集
DOI: 10.6084/m9.figshare.24152427
title: Data.zip

description: These data are sourced from a manuscript called 'Towards Ice Resistance and Propulsion Performance of a Polar Ship Based on CFD-DEM Coupling Method'.
DOI: 10.6084/m9.figshare.24152427.v1
title: Data.zip

description: These data are sourced from a manuscript called 'Towards Ice Resistance and Propulsion Performance of a Polar Ship Based on CFD-DEM Coupling Method'.
DOI: 10.57841/casdc.0002255
title: “碳中和”重大咨询项目能源技术调查问卷
DOI: 10.57841/casdc.0002256
title: 碳中和能源技术调查问卷分析报告
DOI: 10.57841/casdc.0002257
title: 能源科技情报大数据智能化决策支持系统
DOI: 10.57841/casdc.0002258
title: 大功率先进压缩空气储能系统膨胀机技术研发数据集
DOI: 10.57841/casdc.0002259
title: 烯烃羰化工艺优化装置研制及运行数据
DOI: 10.57841/casdc.0002260
title: 固定床加氢装置研制及运行数据
DOI: 10.57841/casdc.0002261
title: 膦配体放大制备装置研制资料及相关实验数据
DOI: 10.57841/casdc.0002262
title: 千吨级中试试验和成果鉴定数据
DOI: 10.57841/casdc.0002263
title: 催化剂实验室开发数据
DOI: 10.57841/casdc.0002264
title: In2O3/HZSM-5二氧化碳加氢制汽油催化剂的性能检测报告
DOI: 10.34740/kaggle/dsv/6485710
title: Tomatoes Dataset
DOI: 10.5281/zenodo.8352420
title: Red_Giants Catalog

description: This dataset is provided by a red giant search method based on convolutional neural networks. This data set is located in the sub-area of the SMSS survey project. After data cleaning and search through the CBAMResNets model, and comparison with models such as CVGG16 and TPC, a relatively complete and reliable red giant star catalog-provided area for this sub-area was obtained.
DOI: 10.5281/zenodo.8201612
title: Red_Giants Catalog

description: This dataset is provided by a red giant search method based on convolutional neural networks. This data set is located in the sub-area of the SMSS survey project. After data cleaning and search through the CBAMResNets model, and comparison with models such as CVGG16 and TPC, a relatively complete and reliable red giant star catalog-provided area for this sub-area was obtained.
DOI: 10.15468/dl.42wj37
title: Occurrence Download

description: A dataset containing 20820 records in GBIF matching the query:
SELECT
 kingdom,
 kingdomkey,
 phylum,
 phylumkey,
 class,
 classkey,
 "order",
 orderkey,
 family,
 familykey,
 genus,
 genuskey,
 species,
 specieskey,
 "year",
 IF(ISNULL(kingdomkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY kingdomkey, "year")) kingdomcount,
 IF(ISNULL(phylumkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY phylumkey, "year")) phylumcount,
 IF(ISNULL(classkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY classkey, "year")) classcount,
 IF(ISNULL(orderkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY orderkey, "year")) ordercount,
 IF(ISNULL(familykey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY familykey, "year")) familycount,
 IF(ISNULL(genuskey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY genuskey, "year")) genuscount,
 COUNT(*) occurrences,
 MIN(GBIF_TEMPORALUNCERTAINTY(eventdate, eventtime)) mintemporaluncertainty,
 MIN(COALESCE(coordinateuncertaintyinmeters, 1000)) mincoordinateuncertaintyinmeters
FROM
 occurrence
WHERE
 occurrence.countrycode = 'PK'
 AND occurrence.occurrencestatus = 'PRESENT'
 AND (occurrence."year" &gt;= 2000 AND occurrence."year" &lt;= 2024)
 AND occurrence.hasgeospatialissues = FALSE
 AND NOT GBIF_STRINGARRAYCONTAINS(occurrence.issue, 'TAXON_MATCH_FUZZY', TRUE)
 AND (occurrence.distancefromcentroidinmeters &gt;= 2000.0 OR occurrence.distancefromcentroidinmeters IS NULL)
 AND NOT occurrence.basisofrecord IN ('FOSSIL_SPECIMEN', 'LIVING_SPECIMEN')
 AND (occurrence.specieskey IS NOT NULL AND occurrence."year" IS NOT NULL)
GROUP BY
 occurrence.kingdom,
 occurrence.kingdomkey,
 occurrence.phylum,
 occurrence.phylumkey,
 occurrence.class,
 occurrence.classkey,
 occurrence."order",
 occurrence.orderkey,
 occurrence.family,
 occurrence.familykey,
 occurrence.genus,
 occurrence.genuskey,
 occurrence.species,
 occurrence.specieskey,
 occurrence."year"

 The dataset's 20820 records were derived from 219 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021391-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8gv2f9
title: Occurrence Download

description: A dataset containing 722 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Myriactis wallichii Less."
 ]
}

 The dataset includes 722 records from 49 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058277-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.merhpe
title: Occurrence Download

description: A dataset containing 141 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Phrynosoma ornatissimum (Girard, 1858)",
 "Geometry POLYGON((-124.756451627043 24.5232175268442, -124.756451627043 49.3844869955705, -66.9490903544593 49.3844869955705, -66.9490903544593 24.5232175268442, -124.756451627043 24.5232175268442))"
 ]
}

 The dataset includes 141 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058278-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vwx8xz
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Muscari salah-eidii (Täckh. & Boulos) Hosni"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058279-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jfwr7a
title: Occurrence Download

description: A dataset containing 24 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Monanthotaxis bicornis (Boutique) Verdc."
 ]
}

 The dataset includes 24 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058280-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vsa38m
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "GenusKey" : [
 "is Pterocarpus indicus Willd."
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058282-240321170329656/datasets/export for details.
DOI: 10.15468/dl.awkh2b
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Odontarrhena libanotica (Nyár.) Španiel, Al-Shehbaz, D.A.German & Marhold"
 ]
}

 The dataset includes 4 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058281-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t27wvs
title: Occurrence Download

description: A dataset containing 130 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Neobrachyactis anomala (DC.) Brouillet"
 ]
}

 The dataset includes 130 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058283-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.