cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.l5e8i4
title: Occurrence Download

description: A dataset containing 1226 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tamandua tetradactyla (Linnaeus, 1758)"
 ]
}

 The dataset includes 1226 records from 100 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032044-190415153152247/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c9w7db
title: Occurrence Download

description: A dataset containing 87821 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is Vipera berus (Linnaeus, 1758)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Geometry POLYGON((-12 35,60 35,60 75,-12 75,-12 35))"
 ]
}

 The dataset includes 87821 records from 418 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006227-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57761/75vj-bw71
title: China New House Information Data 中国新房信息数据

description: If you have questions or concerns, please contact Zhaohui Xue at zhxue@stanford.edu.
description: The data include information on new commercial housing built in China between 2010-2023. Fields include (but are not limited to): the name of the newly built commercial housing community, geographical location, unit types for sale, construction area, reference price, property type, developer name, greening rate, floor area and parking space ratio. There are two versions of the dataset with some overlapping geographic and temporal coverage. The 2022.05 version covers 174 cities. The 2023.06 version covers 120 cities.
description: There are two versions of the dataset with some overlapping geographic and temporal coverage. The **2022\.05** version covers 174 cities. The **2023\.06** version covers 120 cities.



The two versions are contained in two different tables:

- [2022.05] China New House Information Data 中国新房信息数据 
- [2023.06] China New House Information Data 中国新房信息数据

<!-- -->
DOI: 10.57761/fp8t-1n24
title: China New House Information Data 中国新房信息数据

description: If you have questions or concerns, please contact Zhaohui Xue at zhxue@stanford.edu.
description: The data include information on new commercial housing built in China between 2010-2023. Fields include (but are not limited to): the name of the newly built commercial housing community, geographical location, unit types for sale, construction area, reference price, property type, developer name, greening rate, floor area and parking space ratio. There are two versions of the dataset with some overlapping geographic and temporal coverage. The 2022.05 version covers 174 cities. The 2023.06 version covers 120 cities.
description: The raw data were wrangled for inclusion in Data Farm. For more information, please see[ CnOpenData GitLab.](<https://code.stanford.edu/sul-cidr/cnopendata>)


description: There are two versions of the dataset with some overlapping geographic and temporal coverage. The **2022\.05** version covers 174 cities. The **2023\.06** version covers 120 cities.



The two versions are contained in two different tables:

- [2022.05] China New House Information Data 中国新房信息数据 
- [2023.06] China New House Information Data 中国新房信息数据

<!-- -->
DOI: 10.57761/rz37-2y79
title: China New House Information Data 中国新房信息数据

description: If you have questions or concerns, please contact Zhaohui Xue at zhxue@stanford.edu.
description: The data include information on new commercial housing built in China between 2010-2023. Fields include (but are not limited to): the name of the newly built commercial housing community, geographical location, unit types for sale, construction area, reference price, property type, developer name, greening rate, floor area and parking space ratio. There are two versions of the dataset with some overlapping geographic and temporal coverage. The 2022.05 version covers 174 cities. The 2023.06 version covers 120 cities.
description: The raw data were wrangled for inclusion in Data Farm. For more information, please see[ CnOpenData GitLab.](<https://code.stanford.edu/sul-cidr/cnopendata>)


description: There are two versions of the dataset with some overlapping geographic and temporal coverage. The **2022\.05** version covers 174 cities. The **2023\.06** version covers 120 cities.



The two versions are contained in two different tables:

- [2022.05] China New House Information Data 中国新房信息数据 
- [2023.06] China New House Information Data 中国新房信息数据

<!-- -->
DOI: 10.15468/dl.usm4pb
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Paramesotriton deloustali (Bourret, 1934)"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011472-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6pyawy
title: Occurrence Download

description: A dataset containing 298 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is New Zealand",
 "TaxonKey is Cervus Linnaeus, 1758"
 ]
}

 The dataset includes 298 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011473-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ndacfm
title: Occurrence Download

description: A dataset containing 348558 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Humulus lupulus L."
 ]
}

 The dataset includes 348558 records from 1858 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011452-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/37c-0bh-m2j
title: Ephedra Tourn. ex L.

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/mxc-5hx-zyk
title: Eocladus S.T. Loduca, M. J. Melchin & H. Verbruggen, 2011

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.22220677.v1
title: DYH_Fire Data_Zhang Yao et al.xlsx

description: Fire data in Daye Lake is freely available and can be cited.
DOI: 10.3535/5ps-rxr-3r3
title: Ephedra Tourn. ex L.

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/t7t-mv2-g04
title: Plantae

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.24037443.v1
title: <b>The questionnaire of the factors affecting completeness of anesthetic record</b><b>s</b>

description: Anesthesia Information Management Systems (AIMS) are of critical importance for ensuring the comprehensive recording of anesthesia data.
DOI: 10.6084/m9.figshare.26433811.v1
title: Supplementary material S1: Descriptive statistics of respondents’ characteristics.

description: Refers to the demographic or other relevant attributes of the individuals who participated in the study.
DOI: 10.3535/6kt-e6e-4jq
title: Eocladus S.T. Loduca, M. J. Melchin & H. Verbruggen, 2011

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/h06-0v7-t90
title: Ephedra Tourn. ex L.

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.12798131.v3
title: DATABASE-2.xlsx

description: This database presents the study data Inspiratory muscle training improves the swimming performance of competitive young sprint swimmers
DOI: 10.3535/aqy-20f-2sf
title: Ephedra Tourn. ex L.

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/f61-hj6-vfc
title: Cornulites n. sp.

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/fnc-mgq-efh
title: Eocladus S.T. Loduca, M. J. Melchin & H. Verbruggen, 2011

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/r52-ck9-765
title: Ephedra Tourn. ex L.

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.21977640.v2
title: Bayesian Nonparametric Modeling of Conditional Multidimensional Dependence Structures

description: In recent years, conditional copulas, that allow dependence between variables to vary according to the values of one or more covariates, have attracted increasing attention. However, the literature mainly focused on the bivariate case, since the constraints on the multivariate copulas correlation matrices would make the specifications of covariates arduous. In high dimension, vine copulas offer greater flexibility compared to multivariate copulas, since they are constructed using bivariate copulas as building blocks. We present a novel inferential approach for multivariate distributions, which combines the flexibility of vine constructions with the advantages of Bayesian nonparametrics, not requiring the specification of parametric families for each pair copula. Expressing multivariate copulas using vines allows us to easily account for covariate specifications driving the dependence between response variables. We specify the vine copula density as an infinite mixture of Gaussian copulas, defining a Dirichlet process prior on the mixing measure, and performing posterior inference via Markov chain Monte Carlo sampling. Our approach is successful as for clustering as well as for density estimation. We carry out simulation studies and apply the proposed approach to analyze a veterinary dataset and to investigate the impact of natural disasters on financial development. Supplementary materials for this article are available online.
DOI: 10.3535/79e-yqn-t5h
title: Eocladus S.T. Loduca, M. J. Melchin & H. Verbruggen, 2011

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/zq4-prs-lgh
title: Ephedra Tourn. ex L.

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.23714037.v1
title: Inter-genomic syntenic blocks

description: Inter-genomic syntenic blocks
DOI: 10.3535/05y-z1v-wjg
title: Eocladus S.T. Loduca, M. J. Melchin & H. Verbruggen, 2011

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/ae2-dwv-afy
title: Ephedra Tourn. ex L.

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.48420/17136839.v1
title: Expressive Gaussian mixture models for high-dimensional statistical modelling: simulated data and neural network model files

description: Neural network model files and Madgraph event generator outputs used as inputs to the results presented in the paper "Learning to discover: expressive Gaussian mixture models for multi-dimensional simulation and parameter inference in the physical sciences" arXiv:2108.11481Code and model files can be found at:https://github.com/darrendavidprice/science-discovery/tree/master/expressive_gaussian_mixture_models<br><br><br>
DOI: 10.6084/m9.figshare.7785611.v1
title: Metagenomic Bins from Stamps et. al 2018

description: Metagenomic bins from 10.1128/AEM.01171-18, Metabolic Capability and Phylogenetic Diversity of Mono Lake during a Bloom of the Eukaryotic Phototroph Picocystis sp. Strain ML. <br>Bin identification and summary statistics can be found within the manuscript in Supplemental Table S3. <br>Eukaryotic bins within this dataset are appended with "Euk_" to differentiate them from the Bacterial or Archaeal bins in the dataset, but are otherwise identical to those in supplemental table S3.
DOI: 10.17632/s5y37ksnzj
title: A vectorizable eigenvalue solver for sparse matrices

description: Title of program: EIGVEC Catalogue Id: AARI_v1_0 Nature of problem This package solves the generalized eigenvalue problem Ax = lambdaBx, a problem which arises often, for example, in: physics, mechanics, and chemistry. Here A and B have a global block diagonal form and fine sparse structure as found in two-dimensional problems with a finite element approach. Versions of this program held in the CPC repository in Mendeley Data AARI_v1_0; EIGVEC; 10.1016/0010-4655(82)90045-5 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2018)
DOI: 10.3535/51k-ac8-1vd
title: Eocladus S.T. Loduca, M. J. Melchin & H. Verbruggen, 2011

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/qzs-kwh-mk0
title: Eocladus S.T. Loduca, M. J. Melchin & H. Verbruggen, 2011

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.11988027.v1
title: RF_based_Longterm_SnowDepth_China.rar

description: we used a random forest approach to retrieve time-series snow depth dataset during the period 1987-2018.
DOI: 10.6084/m9.figshare.14827738.v1
title: Structural basis for the binding of a selective inverse agonist AF64394 with the human G-protein coupled receptor 3 (GPR3)

description: The orphan class A G-protein coupled receptor 3 (GPR3) is highly expressed in brain and linked with various neuronal functions, and therefore, expected to play a vital role in the progression of Alzheimer’s disease. In view of the lack of its experimental structure, we describe herein the three-dimensional structure and conformational dynamics of GPR3 complexed with the inverse agonist AF64394. The GPR3 model was predicted using the Iterative Threading ASSEmbly Refinement (I-TASSER) method. The Induced Fit Docking predicted two unique poses, Pose 1 and Pose 2, for AF64394, and then, molecular dynamics (MD) simulations followed by binding free-energy calculation revealed the Pose 1 as a very stable pose with the least fluctuation during the MD simulation while the Pose 2 underwent a significant fluctuation. The [1,2,4]triazolo[1,5-a]pyrimidine core was engaged in multiple hydrogen bonds (H-bonds), such as a water-mediated H-bond between the triazole nitrogen and T31, two direct H-bonds between the protonated triazole-ring nitrogen and V186 and T279, a direct H-bond between the secondary amine and V187. The phenyl substituent of AF64394 exhibited aromatic π-π stacking interactions with F97, F101, W43 and Y280. AF64394 showed a direct interaction with E28 and polar interactions with H96, T31 and T279. Throughout the MD simulation, the toggle switch residues, F120 and W260, remained in close contact, indicating that the GPR3 conformation represented an inactive state. The 4-(3-chloro-5-isopropoxyphenethyl) group resided near to the toggle switch residues. The insights gained here are expected to be useful in the structure-based design of new ligands targeting GPR3 modulation. Communicated by Ramaswamy H. Sarma
DOI: 10.6084/m9.figshare.c.3608975_d5.v1
title: Additional file 2: of Integrative phenotyping framework (iPF): integrative clustering of multiple omics data identifies novel lung disease subphenotypes

description: This file includes GSM IDs of GSE47460 that were collected to analyze in this paper. (XLSX 43Â kb)
DOI: 10.3535/03l-ltd-lbd
title: Porifera Grant, 1836

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/8hc-v6e-0b8
title: Ephedra Tourn. ex L.

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/czf-f6t-mn4
title: Ephedra Tourn. ex L.

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.17632/sz55gyhy6r
title: School Choice Index

description: This dataset is used for development of an index to evaluate the impact of educational policies on school choice in post-Soviet countries. The data represent the centralization of school choice normative regulations and the variability of its implementation mechanisms.
DOI: 10.3535/1yg-rs3-76k
title: Chondrites

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/q4y-h8n-pxg
title: Bryozoa

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.21720299.v4
title: data.zip

description: All datasets, including the 400k protein se-<br> quences, DIAMOND-clusters, EMERALD-output, and an-<br> notation files for the EMERALD paper data analysis.
DOI: 10.6084/m9.figshare.27872196.v3
title: Renal function and risk of gestational diabetes mellitus: the potential mediating role of carnitine metabolites

description: This paper examined the association between early-pregnancy renal function with GDM risk and the mediating effects of carnitine metabolites. We conducted a prospective study using data from the Tongji-Huaxi-Shuangliu Birth Cohort. Our results showed that serum uric acid, uric acid-to-creatinine ratio, and eGFR in early pregnancy were positively associated with GDM risk. In contrast, creatinine, creatinine to weight ratio, and cystatin C were negatively associated with GDM. The associations between serum creatinine, eGFR, and creatinine-to-weight ratio with GDM risk might be positively mediated by specific carnitine metabolites.
DOI: 10.6084/m9.figshare.28024595.v1
title: ideal_mols_2

description: This is the csv file for the ideal_mols_2 dataset outputted by the brute force algorithm. It contains around 8.4 million molecules, with their 1st and 2nd transition energies and oscillator strengths and SA score predictions.
DOI: 10.17637/rh.23659737.v2
title: Global Fire Use Survey data and metadata

description: Data collected in the Global Fire Use Survey, which aimed to explore the distribution of human fire use around the world. The survey was completed online by experts (including practitioners and academics) worldwide. Questions focused on reasons for burning by different stakeholder groups, seasonality of burning, and governance of burning. The spreadsheet includes two tabs, one with metadata explaining the format of the data, and one with the data itself. The data has been anonymised.
DOI: 10.3535/l5j-34x-z0d
title: Chondrites

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/m96-4ha-2qy
title: †Subulites Emmons, 1842

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.4121/21273291.v1
title: SimToll: A Highway Toll, Lane Selection, and Traffic Modeling Dataset

description: This dataset contains traffic information of a toll highway; the highway consists of a toll lane, a carpool lane, and three regular lanes. The traffic information includes the number of vehicles on each lane type and the average speed on each lane, at ntervals of 6 minutes. The dataset also provides information about the individual drivers/vehicles on the highway, like their eparture and arrival times and the lane used.
DOI: 10.6084/m9.figshare.27241851.v1
title: Supplementary material: Dependent censoring bias assessment using inverse probability of censoring weights: Type 2 diabetes mellitus risk in patients initiating bisoprolol versus other antihypertensives in a Clinical Practice Research Datalink cohort study

description: <b>These are peer-reviewed supplementary materials for the article '</b><b>Dependent censoring bias assessment using inverse probability of censoring weights: Type 2 diabetes mellitus risk in patients initiating bisoprolol versus other antihypertensives in a Clinical Practice Research Datalink cohort study</b><b>' published in the</b><b> </b><b><i>Journal of Comparative Effectiveness Research</i></b><b>.</b><b>A.1:</b> <b>Censoring modeling</b><b>A.1.1: </b>Prior knowledge<b>A.1.2:</b> Univariate Cox model for T2DM<b>A.1.2.1: </b>Multivariate Cox model for censoring<b>Table: </b>A1<br><b>A.2:</b> Weights distribution<b>A.3:</b> Dependant censoring evaluation: IPCW Kaplan Meier curves A–E<b>A.4:</b> IPCW Cox models<b>A</b> ‒ calcium-channel blockers<b>B</b> – Diuretics vs bisoprolol<b>C</b> – Other beta blockers vs bisoprolol<br><b>A.5: </b>competing risks analysis results<b>A </b>‒ Cause-specific hazard ratios for T2DM<b>B</b> ‒ Subdistribution hazard ratios for T2DM<b>C</b> ‒ Cause-specific hazard ratios for DFM<b>D</b> ‒ Subdistribution hazard ratios for DFM
DOI: 10.17632/8yb9h7dnj6
title: Evaluation of the Efficacy of Topically Applied Melatonin Gel as Adjunctive Therapy in Chronic Periodontitis; Randomized Control Trail

description: Aim: This study was conducted to assess the benefit of locally delivered melatonin gel as adjunctive to scaling and root planning (SRP) in the treatment of chronic periodontitis. Subjects and Methods: Forty chronic periodontitis selected patients ,divided into two groups. Group I: included 20 chronic periodontitis patients, treated by conventional periodontal therapy SRP combined with intra- pocket application of Melatonin gel once weekly for 1 month begin application at the second week after initial therapy. Group II: included 20 chronic periodontitis patients, treated by SRP combined with the injection of placebo, weekly for one month. The periodontal parameters were recorded at baseline, 1week, 1and 3 months.Gingival crevicular fluid (GCF) samples were collected and a quantitative measurement of receptor activator nuclear K ligand (RANKL) was carried out by using Enzyme-Linked Immunosorbent Assay (ELISA) at baseline, 1week, 1 and 3 months. Results: We found noticeable significant reduction in all clinical parameter and in the amount of GCF RANKL in group I in all evaluation period at 1 ,3-month over group II. Conclusion: The results proved the benefit of Melatonin as a promising adjunctive therapy in improving periodontal parameters. However, further long-term studies with large sample size are needed
DOI: 10.3535/ghc-k8y-f4b
title: Animalia

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/hex-n0t-hgr
title: †Subulites Emmons, 1842

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/l8w-ysw-epr
title: Catenipora

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.25027232.v1
title: Contigs

description: Genome assemblies for the Campylobacter genomes sequenced for this study and chicken-associated Campylobacter genomes used as a context collection
DOI: 10.6084/m9.figshare.27230934.v1
title: MRI processed data for 15 subjects * 3 sessions

description: 3 sessions for each healthy participant.
DOI: 10.3535/sa1-dxx-ag6
title: Bioerosional trace fossils

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/r42-t4h-wy8
title: Bryozoa

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/skk-jbb-6an
title: †Illaenidae

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/x0q-xga-rv9
title: Specimen from Tallinn University of Technology

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.