cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7270/q2vd7346
title: BindingDB Entry 50012687: Novel amide and imidazole compounds as potent hematopoietic prostaglandin D

description: Small molecule binding data for protein Hematopoietic prostaglandin D synthase, Uniprot O60760
DOI: 10.7270/q2vd735n
title: BindingDB Entry 50013025: Ninhydrins inhibit carbonic anhydrases directly binding to the metal ion.

description: Small molecule binding data for protein Carbonic anhydrase 1, Carbonic anhydrase 2, Carbonic anhydrase 4, Carbonic anhydrase 7, and Carbonic anhydrase 9, Uniprot P00915, P00918, P22748, P43166, and Q16790
DOI: 10.7270/q2vd7363
title: BindingDB Entry 50013337: Design, synthesis, and biological evaluation of dual targeting inhibitors of histone deacetylase 6/8 and bromodomain BRPF1.

description: Small molecule binding data for protein Bromodomain-containing protein 4, Histone deacetylase 1, Histone deacetylase 2, Histone deacetylase 3, Histone deacetylase 6, Histone deacetylase 8, and Peregrin, Uniprot O15379, O60885, P55201, Q13547, Q92769, Q9BY41, and Q9UBN7
DOI: 10.7270/q2vd737j
title: BindingDB Entry 50013691: Discovery of Venturicidin Congeners and Identification of the Biosynthetic Gene Cluster from

description: Small molecule binding data for protein Receptor-type tyrosine-protein kinase FLT3, Uniprot P36888
DOI: 10.7270/q2vd7380
title: BindingDB Entry 50013970: Design, synthesis and biological evaluation of novel molecules as potent PARP-1 inhibitors.

description: Small molecule binding data for protein Poly [ADP-ribose] polymerase 1, Uniprot P09874
DOI: 10.7270/q2vd739f
title: BindingDB Entry 50014325: Optimization of a Series of RIPK2 PROTACs.

description: Small molecule binding data for protein Baculoviral IAP repeat-containing protein 3, E3 ubiquitin-protein ligase XIAP, and Receptor-interacting serine/threonine-protein kinase 2, Uniprot O43353, P98170, and Q13489
DOI: 10.7270/q2vh5rw6
title: BindingDB Entry 9256: Catecholamine prodrugs for use in the treatment of Parkinson's disease

description: Small molecule binding data for protein 5-hydroxytryptamine receptor 2B, D(1A) dopamine receptor, and D(2) dopamine receptor, Uniprot P14416, P21728, and Q02152
DOI: 10.7270/q2vh5rxn
title: BindingDB Entry 9643: Bicyclic urea, thiourea, guanidine and cyanoguanidine compounds useful for the treatment of pain

description: Small molecule binding data for protein High affinity nerve growth factor receptor, Uniprot P04629
DOI: 10.7270/q2vh5rz3
title: BindingDB Entry 9852: Heterocyclic compound, its preparation method, and pharmaceutical composition comprising the same

description: Small molecule binding data for protein Ribose-phosphate pyrophosphokinase 1, Uniprot P60891
DOI: 10.7270/q2vh5s0z
title: BindingDB Entry 10030: Pyrazole[1,5-a] pyrimidine derivatives as kinase JAK inhibitors

description: Small molecule binding data for protein Tyrosine-protein kinase JAK1, Tyrosine-protein kinase JAK2, and Tyrosine-protein kinase JAK3, Uniprot O60674, P23458, and P52333
DOI: 10.7270/q2vh5s1d
title: BindingDB Entry 10239: Pyrazolopyrimidine compounds and methods of use thereof

description: Small molecule binding data for protein Tyrosine-protein kinase JAK1 and Tyrosine-protein kinase JAK2, Uniprot O60674 and P23458
DOI: 10.17632/3hp876m38g.1
title: PBL and PjBL online learning

description: The data were the learning outcomes and the responses
DOI: 10.17632/4j6ch2hj8y.1
title: Disinfection efficacy of ozone on ESKAPE bacteria biofilms: potential use in difficult-to-access medical devices

description: Supplementary material to the article Disinfection efficacy of ozone on ESKAPE bacteria biofilms: potential use in difficult-to-access medical devices by Ibáñez-Cervantes, Cruz-Cruz, et al., (2022) published in American Journal of Infection Control.
DOI: 10.17632/gjn4vhwkxx.1
title: Replication for Trade Liberalization and Wages: Evidence from the Closer Economic Partnership Arrangement between Mainland China and Hong Kong

description: This replicate kit can be used to analyze the impact of tariff cuts on workers’ wages in a single labor market by examining the Closer Economic Partnership Arrangement (CEPA) trade liberalization, in which China unilaterally eliminated hundreds of tariffs on Hong Kong’s goods in 2004. We use the adoption of the CEPA as an external shock to examine the benefits of FTAs from the perspective of exporters. The basic method of identification involved the difference-in-differences (DID) approach. The data for empirical analysis is based on five Hong Kong censuses from 1996 to 2016. The replication kit contains a data availability statement, detailing the source and accessibility of the data used in the paper, as well as replication instructions. For a more detailed discussion, please see the published articles.
DOI: 10.17632/9ypcvgr867.1
title: Land Cover Classification Using LPIS Data and Open Source EO-Learn Library

description: There are pictures, tables and references used in the article
DOI: 10.17632/cvxb9y2ymn.3
title: Amplitude ratio data of hexagonal structures prepared by Chemical Vapor Deposition on copper foil substrates

description: Ellipsometric parameters data use potential is assessment of graphene layer thickness on different surfaces. Data shows dependence of the amplitude ratio on the surface roughness of copper foil, gas concentrations and reaction zone conditions. Multiple amplitude ratio data files were collected from V-VASE Ellipsometer for various hexagonal structures on bare and treated copper foil substrates. Kaleidagraph 4.0 software was used to generate Fig. 1 a-d based on foil thickness and gas flow. Fig. 1 shows the amplitude ratio of materials within the graphite box (blue) and outside (green) on acetic-acid, treated copper foil thickness of (a) and (b) 25 µm, (c) and (d) 75 µm, and methane flow rate of (a), (c) 0.3 sccm and (b), (d) 0.2 sccm as well as control samples (yellow). Matched amplitude ratio was obtained only for 75 µm thick acetic acid treated copper foil at a low methane flow rate of 0.2 sccm. Moreover, Fig. 2 a,b show that the amplitude ratio of 75 µm bare copper foil and 75 µm electro-polished copper foil substrates at methane flow rates of 0.3 sccm were unmatched. This data is useful because it enables a non-destructive analysis of materials to probe materials class and uniformity.
DOI: 10.17632/brxvthhrw7.1
title: Reprocessable Polybenzoxazine Thermosets with High Tgs and Mechanical Strength Retentions Using Boronic Ester Bonds as Cross-linking linkages

description: original data
DOI: 10.17632/yr8wn5y8s4.1
title: Critical success factors Fintech Vietnam

description: Fintech Evaluating CSFs in Vietnam, comparisons made between the results of the proposed method and other Multi-Criteria Decision Making (MCDM) methods, confirm the accuracy of the proposed method in solving the fintech success factors evaluation problem.
DOI: 10.17632/jcvz6bdyjr.2
title: A Qualitative Study of Perceived Acute Health Effects of a New Urban Community Garden

description: The purpose of this study was to qualitatively identify the public health benefits of community garden participation from the perspective of the participants themselves following their first growing season. Following a qualitative design, a total of nineteen participants were interviewed including garden members and other local residents who have had direct personal contact with the garden space (e.g., neighbors living adjacent to the new space). Participants were given the option of sharing in a Spanish or English language interview.
DOI: 10.17632/y7cdhzww6w.2
title: Codes and Data for Causal Forest Approach for Site-specific Input Management via On-farm Precision Experimentation

description: We present here the R and Python codes and data related to manuscript "Causal Forest Approach for Site-specific Input Management via On-farm Precision Experimentation." by Kakimoto, S., Mieno, T., Tanaka, T.S.T., & Bullock, D.S. In this study, we propose use of the Causal Forest (CF) model, which is one of the emerging ML methods that comprise "Causal Machine Learning." Unlike previous yield-prediction-oriented ML methods, CF focuses strictly on estimating heterogeneous treatment effects (changes in yields that result from changes in input application rates) of inputs. We report results of using Monte Carlo simulations assuming various production scenarios to test the effectiveness of CF in estimating site-specific economically optimal nitrogen rates (EONRs), comparing CF with the yield-prediction-oriented ML methods RF, BRF, and CNN. CF's estimations of site-specific EONRs were superior under all scenarios considered. We also show that the quality of a model's yield predictions provides little if any information about the quality of its EONR predictions.
DOI: 10.17632/vvgd7325wg.4
title: Dataset for: Can the targeted source information be extracted from superimposed magnetic anomaly?

description: Dataset and codes for the magnetic anomaly extraction. The codes for 1D and 2D magnetic data extractions are available. The synthetic magnetic data, extracted magnetic data, and residual magnetic data for manuscript 2.1, 2.2, 2.3, 3.1, 3.2, 4 and Supporting Information S1, S5, S6, S7, S8, S9, S10, S11, S12, and S13.
DOI: 10.17632/ydhxkzkfnf.1
title: Mediator facilitates transcription initiation at most promoters via a Tail-independent mechanism

description: Original Western Blot images of protein depletion and immunoprecipitation experiments
DOI: 10.17632/sbdzbsmmrx.1
title: LINF_260014100

description: mt-SAF30
Leishmania infantum (strain JPCM5)
DOI: 10.17632/b5chnsp6sw.1
title: LINF_260013900

description: HSP70.b | heat shock 70-related protein
Leishmania infantum (strain JPCM5)
DOI: 10.17632/4rnywbbvs7.1
title: LINF_260013300

description: protein of unknown function - conserved
Leishmania infantum (strain JPCM5)
DOI: 10.17632/vkdxmtrkfx.1
title: LINF_260013500

description: RNA-editing complex protein MP100 | KREX1
Leishmania infantum (strain JPCM5)
DOI: 10.17632/5644xw93j8.1
title: LINF_260013400

description: mitoribosomal protein mt-IF-3
Leishmania infantum (strain JPCM5)
DOI: 10.14272/uoqzatkcybghse-zcxunetksa-n/chmo0000593
title: 1H nuclear magnetic resonance spectroscopy (1H NMR) ()
title: InChI=1S/C18H22O2/c1-20-18(13-3-2-4-16(19)10-13)17-14-6-11-5-12(8-14)9-15(17)7-11/h2-4,10-12,14-15,19H,5-9H2,1H3/b18-17-

description: dataset for 1H nuclear magnetic resonance spectroscopy (1H NMR) 1H NMR (CDCl3, 500 MHz, ppm) δ = 7.23-7.20 (m, 1H), 6.89 (d, J = 10 Hz, 1H), 6.81 (s, 1H), 6.77–6.75 (m, 1H), 4.87 (s,1H), 3.30 (s, 1H), 3.24 (s, 3H), 2.65 (s, 1H), 1.97–1.79 (m, 12H).
DOI: 10.14272/uoqzatkcybghse-zcxunetksa-n/chmo0000595
title: 13C nuclear magnetic resonance spectroscopy (13C NMR) ()
title: InChI=1S/C18H22O2/c1-20-18(13-3-2-4-16(19)10-13)17-14-6-11-5-12(8-14)9-15(17)7-11/h2-4,10-12,14-15,19H,5-9H2,1H3/b18-17-

description: dataset for 13C nuclear magnetic resonance spectroscopy (13C NMR) 13C NMR (CDCl3, 126 MHz, ppm) δ = 155.34, 143.06, 137.17, 131.95, 129.16, 122.11, 116.02, 114.41, 57.78 (2C), 39.22, 39.08, 37.19, 32.23, 30.23, 28.32 (3C).
DOI: 10.14272/uoqzatkcybghse-zcxunetksa-n.1
title: C18H22O2
title: InChI=1S/C18H22O2/c1-20-18(13-3-2-4-16(19)10-13)17-14-6-11-5-12(8-14)9-15(17)7-11/h2-4,10-12,14-15,19H,5-9H2,1H3/b18-17-

description: This dataset contains experimental data from a sample (InChI=1S/C18H22O2/c1-20-18(13-3-2-4-16(19)10-13)17-14-6-11-5-12(8-14)9-15(17)7-11/h2-4,10-12,14-15,19H,5-9H2,1H3/b18-17-). The datasets from the following experiments are available: 1H nuclear magnetic resonance spectroscopy (1H NMR) 13C nuclear magnetic resonance spectroscopy (13C NMR) electrospray ionisation mass spectrometry (ESMS)
DOI: 10.14272/uoqzatkcybghse-zcxunetksa-n/chmo0000482
title: electrospray ionisation mass spectrometry (ESMS) ()
title: InChI=1S/C18H22O2/c1-20-18(13-3-2-4-16(19)10-13)17-14-6-11-5-12(8-14)9-15(17)7-11/h2-4,10-12,14-15,19H,5-9H2,1H3/b18-17-

description: dataset for electrospray ionisation mass spectrometry (ESMS) ESI-MS m/z [M+Na]+calcd for C18H22O2Na 293.1517; found 293.1461.
DOI: 10.17909/dd3j-xv46
title: Hubble WFC3/IR/G141 transits for GJ 1132b

description: These data are associated with the Hubble/WFC3 analysis presented by Libby-Roberts et al. on the infrared transmission spectrum of GJ 1132b
DOI: 10.48567/6a6j-2565
title: Windless Bight Automatic Weather Station, 2021 quality-controlled observational data.
DOI: 10.17632/xnrvphhy7m.2
title: COVID-19 in Africa project

description: This file contains the aggregated dataset that was the basis of this paper ' Reasons for Low Burden of COVID-19 in Africa: An Explorative Cross-Sectional Analysis of Twenty-One African Countries from January to June 2020.'
DOI: 10.17632/nj8pcc8psh.1
title: LINF_260014700

description: protein kinase
Leishmania infantum (strain JPCM5)
DOI: 10.17632/crspszvm7m.1
title: LINF_260014500

description: hypothetical protein - conserved
Leishmania infantum (strain JPCM5)
DOI: 10.17632/whrp9bzd57.1
title: LINF_260014200

description: PIF1-like helicase 8 | PIF8
Leishmania infantum (strain JPCM5)
DOI: 10.17632/cjwbjttf88.1
title: Data on prediction of geological characteristics during shield tunnelling in mixed soil and rock ground

description: This data presented in this article pertain to measured data obtained from earth pressure balance (EPB) shield tunelling of Guangzhou-Foshan intercity railway project.
DOI: 10.17632/m656njrnfs.1
title: LINF_260014600

description: NMD3 family
Leishmania infantum (strain JPCM5)
DOI: 10.17632/yk79vwrjfk.1
title: LINF_260014300

description: DnaJ domain-containing protein | JDP31 | J31
Leishmania infantum (strain JPCM5)
DOI: 10.17632/p6hfv4p486.4
title: Nitrogen and carbon isotopes and concentrations in ectomycorrhizal sporocarps and soil from two N addition experiments in Sweden, Norrliden and Rosinedalsheden

description: Data are carbon and nitrogen isotopes and concentrations in ectomycorrhizal sporocarps and soils. Soil data are by horizon. Data were from two long-running N deposition experiments in northern Sweden. We hypothesized that N additions would alter nitrogen concentrations in soil and fungi and that the source N for different fungal taxa (which horizon) could be estimated by comparing patterns between soil and sporocarps. 

For the nine most common taxa, we provide estimates of the 15N enrichment of the taxa relative to the probable soil horizon of N uptake, as discussed in Hobbie, Chen, and Hasselquist (in final review, Fungal Ecology). Potential soil horizons of N uptake were the S (litter), F (fermentation), and H (humic). 

Also included are results of two stepwise multiple regressions, corresponding to: (1) controls of the natural log of sporocarp C:N ratios for the nine most common taxa (Table 2 in Hobbie, Chen, and Hasselquist) and (2)  controls of the 15N:14N ratio increase (15N enrichment) of sporocarps relative to the d15N of the probable soil horizon of N uptake for the nine most common taxa (Table 5 in Hobbie, Chen, and Hasselquist).
DOI: 10.17632/k2rs33vsyz.1
title: From determining brain insulin resistance in a sporadic Alzheimer’s disease model to exploring the region-dependent effect of intranasal insulin

description: Impaired response to insulin has been linked to many neurodegenerative disorders like Alzheimer’s disease (AD). Animal model of sporadic AD has been developed by intracerebroventricular (icv) administration of streptozotocin (STZ), which given peripherally causes insulin resistance. Difficulty in demonstrating insulin resistance in this model led to our aim: to determine brain regional and peripheral response after intranasal (IN) administration of insulin in control and STZ-icv rats, by exploring peripheral and central metabolic parameters. One month after STZ-icv or vehicle-icv administration to 3-months-old male Wistar rats, cognitive status was determined after which rats received 2 IU of fast-acting insulin aspart intranasally (CTR+INS; STZ+INS) or saline only (CTR and STZ). Rats were sacrificed two hours after administration and metabolic and glutamatergic parameters were measured in plasma, CSF and the brain. Insulin and STZ increased amyloid-β concentration in plasma (CTR+INS and STZ vs CTR), while there was no effect on glucose and insulin plasma and CSF levels. INS normalized the levels of c-fos in temporal cortex of STZ+INS vs STZ (co-localized with neurons), while hypothalamic c-fos was found co-localized with the microglial marker. STZ and insulin brain region-specifically altered the levels and activity of proteins involved in cell metabolism and glutamate signaling. Central changes found after INS in STZ-icv rats suggest hippocampal and cortical insulin sensitivity. Altered hypothalamic metabolic parameters of STZ-icv rats were not normalized by INS, indicating possible hypothalamic insulin insensitivity. Brain insulin sensitivity depends on the affected brain region and presence of metabolic dysfunction induced by STZ-icv administration.
DOI: 10.17632/7kd5wj7v7p.1
title: IXI Sample Dataset

description: This project is a modified version of the IXI Dataset adapted for particular cases of use where each subject is represented by a directory containing all the modalities associated with them.
DOI: 10.48567/4ep4-3x35
title: Willie Field Automatic Weather Station, 2021 quality-controlled observational data.
DOI: 10.48567/33y3-h922
title: Whitlock Automatic Weather Station, 2021 quality-controlled observational data.
DOI: 10.3886/e152801
title: Data and Code for: Supply and Demand in Disaggregated Keynesian Economies with an Application to the Covid-19 Crisis

description: We study supply and demand shocks in a disaggregated model with multiple sectors, multiple factors, input-output linkages, downward nominal wage rigidities, credit-constraints, and a zero lower bound. We use the model to understand how the Covid-19 crisis, an omnibus supply and demand shock, affects output, unemployment, and inflation, and leads to the coexistence of tight and slack labor markets. We show that negative sectoral supply shocks are stagflationary, whereas negative demand shocks are deflationary, even though both can cause Keynesian unemployment. Furthermore,complementarities in production amplify Keynesian spillovers from supply shocks but mitigate them for demand shocks. This means that complementarities reduce the effectiveness of aggregate demand stimulus. In a stylized quantitative model of the US, we find supply and demand shocks each explain about half the reduction in real GDP from February to May, 2020. Although there was as much as 6% Keynesian unemployment, this was concentrated incertain markets. Hence, aggregate demand stimulus is one quarter as effective as in a typical recession where all labor markets are slack.<br><br>
DOI: 10.3886/e152801v1
title: Data and Code for: Supply and Demand in Disaggregated Keynesian Economies with an Application to the Covid-19 Crisis

description: We study supply and demand shocks in a disaggregated model with multiple sectors, multiple factors, input-output linkages, downward nominal wage rigidities, credit-constraints, and a zero lower bound. We use the model to understand how the Covid-19 crisis, an omnibus supply and demand shock, affects output, unemployment, and inflation, and leads to the coexistence of tight and slack labor markets. We show that negative sectoral supply shocks are stagflationary, whereas negative demand shocks are deflationary, even though both can cause Keynesian unemployment. Furthermore,complementarities in production amplify Keynesian spillovers from supply shocks but mitigate them for demand shocks. This means that complementarities reduce the effectiveness of aggregate demand stimulus. In a stylized quantitative model of the US, we find supply and demand shocks each explain about half the reduction in real GDP from February to May, 2020. Although there was as much as 6% Keynesian unemployment, this was concentrated incertain markets. Hence, aggregate demand stimulus is one quarter as effective as in a typical recession where all labor markets are slack.<br><br>
DOI: 10.3886/e157841
title: Data and Code for: "The Demand for Insurance and Rationale for a Mandate: Evidence from Workers’ Compensation Insurance"

description: This contains the data and code for: "The Demand for Insurance and Rationale for a Mandate: Evidence from Workers’ Compensation Insurance."
DOI: 10.3886/e157841v1
title: Data and Code for: "The Demand for Insurance and Rationale for a Mandate: Evidence from Workers’ Compensation Insurance"

description: This contains the data and code for: "The Demand for Insurance and Rationale for a Mandate: Evidence from Workers’ Compensation Insurance."
DOI: 10.3886/e159781
title: Code for: "Signaling and Employer Learning with Instruments"

description: This paper considers the use of instruments to identify and estimate private and social returns to education within a model of employer learning. What an instrument identifies depends on whether it is hidden from, or transparent (i.e., observed) to, the employers. A hidden instrument identifies private returns to education, and a transparent instrument identifies social returns to education. We use variation in compulsory schooling laws across non-central and central municipalities in Norway to, respectively, construct hidden and transparent instruments. We estimate a private return of 7.9%, of which 70% is due to increased productivity and the remaining 30% is due to signaling.
DOI: 10.3886/e159781v1
title: Code for: "Signaling and Employer Learning with Instruments"

description: This paper considers the use of instruments to identify and estimate private and social returns to education within a model of employer learning. What an instrument identifies depends on whether it is hidden from, or transparent (i.e., observed) to, the employers. A hidden instrument identifies private returns to education, and a transparent instrument identifies social returns to education. We use variation in compulsory schooling laws across non-central and central municipalities in Norway to, respectively, construct hidden and transparent instruments. We estimate a private return of 7.9%, of which 70% is due to increased productivity and the remaining 30% is due to signaling.
DOI: 10.48567/1p6d-0t79
title: White Island Automatic Weather Station, 2021 quality-controlled observational data.