cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/wdm3kh7g9j.1
title: Hazardous Child Labor and Internal Migration
DOI: 10.14272/gurmgcrmabasrx-uhfffaoysa-n
title: C19H20F3N3
title: InChI=1S/C19H20F3N3/c1-2-3-12-25-17-15(10-7-11-16(17)19(20,21)22)18(24-25)23-13-14-8-5-4-6-9-14/h4-11H,2-3,12-13H2,1H3,(H,23,24)

description: This dataset contains experimental data from a sample (InChI=1S/C19H20F3N3/c1-2-3-12-25-17-15(10-7-11-16(17)19(20,21)22)18(24-25)23-13-14-8-5-4-6-9-14/h4-11H,2-3,12-13H2,1H3,(H,23,24)).
      The datasets from the following experiments are available:
      
      1H NMR
      
      13C NMR
      
      Others
      
      IR
      
      Mass
DOI: 10.14272/gurmgcrmabasrx-uhfffaoysa-n/13cnmr
title: 13C NMR (, InChI=1S/C19H20F3N3/c1-2-3-12-25-17-15(10-7-11-16(17)19(20,21)22)18(24-25)23-13-14-8-5-4-6-9-14/h4-11H,2-3,12-13H2,1H3,(H,23,24))

description: dataset for 13C NMR
      
      13C NMR (100 MHz, CDCl3, ppm) δ = 13.8, 20.0, 32.1, 48.4, 50.3 (q, J = 4.0 Hz), 111.7 (q, J = 33.0 Hz), 116.7, 117.3, 123.6, 124.2 (q, J = 274 Hz), 125.71 (q, J = 6.2 Hz), 127.4, 128.1 (2C), 128.6 (2C), 136.2, 140.0, 149.2.
DOI: 10.14272/gurmgcrmabasrx-uhfffaoysa-n/1hnmr
title: 1H NMR (, InChI=1S/C19H20F3N3/c1-2-3-12-25-17-15(10-7-11-16(17)19(20,21)22)18(24-25)23-13-14-8-5-4-6-9-14/h4-11H,2-3,12-13H2,1H3,(H,23,24))

description: dataset for 1H NMR
      
      1H NMR (400 MHz, CDCl3, ppm) δ = 0.85 (t, J = 7.4 Hz, 3H), 1.28 (sxt, J = 7.5 Hz, 2H), 1.71 (quin, J = 7.7 Hz, 2H), 4.11 (br. s., 1H), 4.18–4.26 (m, 2H), 4.53 (br. s., 2H), 6.90 (t, J = 7.6 Hz, 1H), 7.19–7.24 (m, 1H), 7.25–7.31 (m, 2H), 7.37 (d, J = 7.0 Hz, 2H), 7.57 (dd, J = 7.6, 4.2 Hz, 2H).
DOI: 10.14272/gurmgcrmabasrx-uhfffaoysa-n/ir
title: IR (, InChI=1S/C19H20F3N3/c1-2-3-12-25-17-15(10-7-11-16(17)19(20,21)22)18(24-25)23-13-14-8-5-4-6-9-14/h4-11H,2-3,12-13H2,1H3,(H,23,24))

description: dataset for IR
      
      IR (ATR, ṽ) = 377, 381, 391, 415, 506, 528, 555, 589, 615, 637, 697, 727, 739, 798, 850, 877, 904, 916, 938, 965, 987, 1027, 1047, 1067, 1109, 1157, 1179, 1201, 1224, 1255, 1293, 1354, 1373, 1431, 1453, 1468, 1497, 1517, 1554, 1584, 1613, 2873, 2934, 2959, 3033, 3063, 3088, 3318, 3411 cm–1.
DOI: 10.14272/gurmgcrmabasrx-uhfffaoysa-n/mass
title: Mass (, InChI=1S/C19H20F3N3/c1-2-3-12-25-17-15(10-7-11-16(17)19(20,21)22)18(24-25)23-13-14-8-5-4-6-9-14/h4-11H,2-3,12-13H2,1H3,(H,23,24))

description: dataset for Mass
      
      EI (m/z, 70 eV, 40 °C): 347 (9), 91 (13), 87 (11), 86 (66), 84 (100).HRMS (C19H20N3F3): calcd 347.1609 , found 347.1611.
DOI: 10.14272/gurmgcrmabasrx-uhfffaoysa-n/others
title: Others (, InChI=1S/C19H20F3N3/c1-2-3-12-25-17-15(10-7-11-16(17)19(20,21)22)18(24-25)23-13-14-8-5-4-6-9-14/h4-11H,2-3,12-13H2,1H3,(H,23,24))

description: dataset for Others
      
      19F NMR (376 MHz, CDCl3, ppm) δ = –57.44.
DOI: 10.5281/zenodo.2537944
title: Repeatability and choice performance in wild free-flying nectarivorous bats (Glossophaga commissarisi)

description: Data and R code from choice experiments with wild, free-flying Commissaris's long-tongued bats
DOI: 10.5281/zenodo.2537930
title: Exergame for Continuous and Transparent Monitoring of Handgrip Strength and Endurance

description: Grip Strength reduction is a marker of the age-related functional decline. An anti-stress ball and an exergame to continuously and transparently monitor handgrip strength and endurance in older persons have been developed within the context of the European Project MOVECARE. The description of the exergame can be found in the paper associated to the dataset here uploaded. 

The game was tested on ten young healthy subjects and the results of maximal handgrip force provided by the game were compared to the handgrip measured with the Jamar dynamometer. High correlation was found, suggesting that the game can represent a promising and non-intrusive tool to help detecting early signs of frailty in community-dwelling older persons. 

The data here uploaded consist of an excel file with two sheets. 

- sheet 1:  Values of handgrip measured by the Jamar and the anti-stress ball on 10 subjects. Each subject performed three repetitions of each measurement. 

 - sheet 2: the System Usability Scale scores collected on the 10 subjects. Scores of individual questions, as well as total scores, are reported.
description: {"references": ["Lunardini, Francesca et al (2018) Exergame for Continuous and Transparent Monitoring of Handgrip Strength and Endurance, roceedings of the 4th International Conference on NeuroRehabilitation (ICNR2018), October 16-20, 2018, Pisa, Italy"]}
DOI: 10.5281/zenodo.2537931
title: Exergame for Continuous and Transparent Monitoring of Handgrip Strength and Endurance

description: Grip Strength reduction is a marker of the age-related functional decline. An anti-stress ball and an exergame to continuously and transparently monitor handgrip strength and endurance in older persons have been developed within the context of the European Project MOVECARE. The description of the exergame can be found in the paper associated to the dataset here uploaded. 

The game was tested on ten young healthy subjects and the results of maximal handgrip force provided by the game were compared to the handgrip measured with the Jamar dynamometer. High correlation was found, suggesting that the game can represent a promising and non-intrusive tool to help detecting early signs of frailty in community-dwelling older persons. 

The data here uploaded consist of an excel file with two sheets. 

- sheet 1:  Values of handgrip measured by the Jamar and the anti-stress ball on 10 subjects. Each subject performed three repetitions of each measurement. 

 - sheet 2: the System Usability Scale scores collected on the 10 subjects. Scores of individual questions, as well as total scores, are reported.
description: {"references": ["Lunardini, Francesca et al (2018) Exergame for Continuous and Transparent Monitoring of Handgrip Strength and Endurance, roceedings of the 4th International Conference on NeuroRehabilitation (ICNR2018), October 16-20, 2018, Pisa, Italy"]}
DOI: 10.5281/zenodo.2537837
title: Dataset for paper "Sharing emotions at scale: The Vent dataset"

description: This dataset is linked to the paper "<strong>Sharing emotions at scale: The Vent dataset</strong>" (arXiv:1901.04856 [cs.SI]) , and contains data collected from the Vent social network (https://www.vent.co/).

It is structured in files each containing a different entity (i.e. emotion categories, emotions, vent metadata and social links). Entities external to each file are cross-referenced via the anonymized  universally unique identifiers (UUIDs).

The dataset consists of the following files and data:

<strong>emotion_categories.csv</strong>


	id (string): a UUID associated with a specific emotion category.
	name (string): The name of the emotion category.


<strong>emotions.csv</strong>


	id (string): a UUID associated with a specific emotion.
	emotion_id (string): a UUID associated with a specific emotion (cross-reference to emotions.csv).
	name (string): The name of the emotion.
	enabled (boolean): Whether the emotion was enabled at the time of crawling.


<strong>vents_metadata.csv</strong>


	emotion_id (string): a UUID associated with a specific emotion (cross-reference to emotions.csv).
	user_id (string): a UUID associated with a specific user.
	created_at (string): Date when the vent was posted, in UTC. Provided as a string in the format of “YYYY-MM-DD hh:mm:ss.sss''.
	reactions (integer): Total number of reactions to a vent.


<strong>vent.edgelist</strong>

The social graph of Vent, containing the directed friendship links between users.

<em>Researchers who want to access the text content for research and non-commercial use are welcome to contact us.</em>
DOI: 10.5281/zenodo.2537838
title: Dataset for paper "Sharing emotions at scale: The Vent dataset"

description: This dataset is linked to the paper "<strong>Sharing emotions at scale: The Vent dataset</strong>" (arXiv:1901.04856 [cs.SI]) , and contains data collected from the Vent social network (https://www.vent.co/).

It is structured in files each containing a different entity (i.e. emotion categories, emotions, vent metadata and social links). Entities external to each file are cross-referenced via the anonymized  universally unique identifiers (UUIDs).

The dataset consists of the following files and data:

<strong>emotion_categories.csv</strong>


	id (string): a UUID associated with a specific emotion category.
	name (string): The name of the emotion category.


<strong>emotions.csv</strong>


	id (string): a UUID associated with a specific emotion.
	emotion_id (string): a UUID associated with a specific emotion (cross-reference to emotions.csv).
	name (string): The name of the emotion.
	enabled (boolean): Whether the emotion was enabled at the time of crawling.


<strong>vents_metadata.csv</strong>


	emotion_id (string): a UUID associated with a specific emotion (cross-reference to emotions.csv).
	user_id (string): a UUID associated with a specific user.
	created_at (string): Date when the vent was posted, in UTC. Provided as a string in the format of “YYYY-MM-DD hh:mm:ss.sss''.
	reactions (integer): Total number of reactions to a vent.


<strong>vent.edgelist</strong>

The social graph of Vent, containing the directed friendship links between users.

<em>Researchers who want to access the text content for research and non-commercial use are welcome to contact us.</em>
DOI: 10.5281/zenodo.2537926
title: Data for "X-ray Fourier ptychography"

description: Data needed to evaluate the conclusions of the paper

K. Wakonig, A. Diaz, A. Bonnin, M. Stampanoni, A. Bergamaschi, J. Ihli, M. Guizar-Sicairos,<br>
A. Menzel, X-ray Fourier ptychography. <em>Sci. Adv. </em><strong>5</strong>, eaav0282 (2019).
description: We acknowledge the financial support from the Swiss National Science Foundation (SNF) [grant numbers 166304 (K.W) and 153556 (J.I.)].
DOI: 10.5281/zenodo.2537927
title: Data for "X-ray Fourier ptychography"

description: Data needed to evaluate the conclusions of the paper

K. Wakonig, A. Diaz, A. Bonnin, M. Stampanoni, A. Bergamaschi, J. Ihli, M. Guizar-Sicairos,<br>
A. Menzel, X-ray Fourier ptychography. <em>Sci. Adv. </em><strong>5</strong>, eaav0282 (2019).
description: We acknowledge the financial support from the Swiss National Science Foundation (SNF) [grant numbers 166304 (K.W) and 153556 (J.I.)].
DOI: 10.5281/zenodo.2537981
title: Text data for paper "Sharing emotions at scale: The Vent dataset"

description: This text dataset, available upon request, is linked to the paper "<strong>Sharing emotions at scale: The Vent dataset </strong>(arXiv:1901.04856 [cs.SI]).

Researchers who want to access the texts for research and non-commercial use are welcome to contact us.
DOI: 10.5281/zenodo.2537982
title: Text data for paper "Sharing emotions at scale: The Vent dataset"

description: This text dataset, available upon request, is linked to the paper "<strong>Sharing emotions at scale: The Vent dataset </strong>(arXiv:1901.04856 [cs.SI]).

Researchers who want to access the texts for research and non-commercial use are welcome to contact us.
DOI: 10.5281/zenodo.2537964
title: Research Data Supporting "Diagrammatic Coupled Cluster Monte Carlo"

description: Research data supporting "Diagrammatic Coupled Cluster Monte Carlo". Includes all inputs and outputs for diagrammatic and unlinked Coupled Cluster Monte Carlo simulations on systems of noninteracting Neon and Beryllium replicas, and the separation of the Helium pentamer. This dataset also includes all code used to generate diagCCMC results and to analyse and plot all data. Unlinked CCMC calculations were performed using the open-source HANDE QMC package (http://www.hande.org.uk/).
DOI: 10.5281/zenodo.2537965
title: Research Data Supporting "Diagrammatic Coupled Cluster Monte Carlo"

description: Research data supporting "Diagrammatic Coupled Cluster Monte Carlo". Includes all inputs and outputs for diagrammatic and unlinked Coupled Cluster Monte Carlo simulations on systems of noninteracting Neon and Beryllium replicas, and the separation of the Helium pentamer. This dataset also includes all code used to generate diagCCMC results and to analyse and plot all data. Unlinked CCMC calculations were performed using the open-source HANDE QMC package (http://www.hande.org.uk/).
DOI: 10.7303/syn17413894.1
title: Developing pNF-derived iPSCs Data
DOI: 10.5285/ab371235-68c5-4da3-89d6-30b23c07427f
title: 1-hourly medians of Aethalometer data (880 nm) measured at Halley station throughout 2015

description: 1-hourly medians of 1-min Aethalometer data measured at 880 nm. The hourly medians are derived from the 1-min observations; missing data arise from rejection of medians where fewer than 50% of the 1-min average data were present. Observations were made at Halley research station, in coastal Antarctica, as part of the British Antarctic Survey programme of tropospheric chemistry. Observations were made throughout 2015 at the Halley Clean Air Sector Laboratory.
description: Observations were made at the Halley Clean Air Sector Laboratory, using a Magee Scientific model AE-33 Aethalometer. Data were generated by instrument software, with no additional data processing, other than deriving medians.
description: Instrumentation: Multi-wavelength Aethalometer: Magee Scientific model AE-33
description: The manufacturer-defined detection limit for an AE-33 is 5 ng.m-3 over a 1-hour observation period. The hourly medians are derived from the 1-min observations; missing data arise from rejection of medians where fewer than 50% of the 1-min average data were present.
DOI: 10.12751/g-node.50baa6
title: Dorsal Horn Gastrin-Releasing Peptide Expressing Neurons Transmit Spinal Itch But Not Pain Signals

description: Raw data contained in the publication Albisetti et al. (2019) Dorsal Horn Gastrin-Releasing Peptide Expressing Neurons Transmit Spinal Itch But Not Pain Signals. J Neurosci.
DOI: 10.5281/zenodo.2538010
title: Is there a social life in Open Data? Open datasets exploring practices in Educational Technology Research

description: In the landscape of Open Science, Open Data [OD] plays a crucial role as data are one of the most basic components of research despite their diverse formats across scientific disciplines. Opening up data is a recent concern for policy makers and researchers as the basis for good open science practices. The common factor underlying these new practices – the relevance of promoting open data circulation and reuse – is mostly a social form of knowledge sharing and construction. However, while data sharing is being strongly promoted by policy making and is becoming a frequent practice in some disciplinary fields, open data sharing is much less developed in social sciences and in educational research. The Open Data hereby introduced is composed of two integrated datasets which collect data relating practices of Open Data publication and sharing in the field of Educational Thecnologies. This data was collected to suport the aim of investigating open data sharing in a selection of open data repositories as well as in the academic social network site ResearchGate. The research questions addressing this study are: Do researchers in the field of Educational Technology publish Open Datasets [ODs]? To which extent are ODs compliant with the FAIR data principles? What is the social life relating to the ODs in terms of the metrics provided by the OD portals? As a subsidiary question: 3.a- To what extent do open data portals allow researchers to cultivate social practices around OD? In order to investigate OD presence in ResearchGate, the following research aim guided the second part of the study: Analysis of the presence of the same selected OD in ResearchGate and of the type of social activity OD exhibited by OD according to ResearchGate mètrics. The Open Data here presented is composed by two datasets. 23 datasets extracted out from 82 randomly selected datasets, from an inital total of 633. The data set presents a Codebook explaining the several categories of analysis or variables and the values assigned to the same. Since the analysis was performed in two phases (first selection and screening, second selection and classification) the codebook is divided in two tables. Moreover, the data set contains 6 Worksheets, ordered taking the workflow as reference: Codebook, Dataset_Extraction, Analysis_Workflow, Selected_Analysis. This dataset has been produced and curated by J.E.Raffaghelli The analysis of correspondance for the 23 datasets in ResearchGate. The data set presents a Codebook, and is divided into two worksheets: Codebook, ODT&RG. The last worksheet introduces the comparison between the social mètrics within RG of the found datasets and the relating papers. This dataset has been produced and curated by S. Manca and J.E. Raffaghelli.
description: Project funded by the Spanish Ministry of Innovation, Science and University, RYC-2016-19589
DOI: 10.5281/zenodo.2538011
title: Is there a social life in Open Data? Open datasets exploring practices in Educational Technology Research

description: In the landscape of Open Science, Open Data [OD] plays a crucial role as data are one of the most basic components of research despite their diverse formats across scientific disciplines. Opening up data is a recent concern for policy makers and researchers as the basis for good open science practices. The common factor underlying these new practices – the relevance of promoting open data circulation and reuse – is mostly a social form of knowledge sharing and construction. However, while data sharing is being strongly promoted by policy making and is becoming a frequent practice in some disciplinary fields, open data sharing is much less developed in social sciences and in educational research. The Open Data hereby introduced is composed of two integrated datasets which collect data relating practices of Open Data publication and sharing in the field of Educational Thecnologies. This data was collected to suport the aim of investigating open data sharing in a selection of open data repositories as well as in the academic social network site ResearchGate. The research questions addressing this study are: Do researchers in the field of Educational Technology publish Open Datasets [ODs]? To which extent are ODs compliant with the FAIR data principles? What is the social life relating to the ODs in terms of the metrics provided by the OD portals? As a subsidiary question: 3.a- To what extent do open data portals allow researchers to cultivate social practices around OD? In order to investigate OD presence in ResearchGate, the following research aim guided the second part of the study: Analysis of the presence of the same selected OD in ResearchGate and of the type of social activity OD exhibited by OD according to ResearchGate mètrics. The Open Data here presented is composed by two datasets. 23 datasets extracted out from 82 randomly selected datasets, from an inital total of 633. The data set presents a Codebook explaining the several categories of analysis or variables and the values assigned to the same. Since the analysis was performed in two phases (first selection and screening, second selection and classification) the codebook is divided in two tables. Moreover, the data set contains 6 Worksheets, ordered taking the workflow as reference: Codebook, Dataset_Extraction, Analysis_Workflow, Selected_Analysis. This dataset has been produced and curated by J.E.Raffaghelli The analysis of correspondance for the 23 datasets in ResearchGate. The data set presents a Codebook, and is divided into two worksheets: Codebook, ODT&RG. The last worksheet introduces the comparison between the social mètrics within RG of the found datasets and the relating papers. This dataset has been produced and curated by S. Manca and J.E. Raffaghelli.
description: Project funded by the Spanish Ministry of Innovation, Science and University, RYC-2016-19589
DOI: 10.6073/pasta/2aa40c500d25b9ebba8b6036dd5ff444
title: North Temperate Lakes LTER: Benthic Macroinvertebrates 1981 - current (Reformatted to ecocomDP Design Pattern)

description: This data package is formatted according to the "ecocomDP", a data package design pattern for ecological community surveys, and data from studies of composition and biodiversity. For more information on the ecocomDP project see https://github.com/EDIorg/ecocomDP/tree/master, or contact EDI https://environmentaldatainitiative.org.

This Level 1 data package was derived from the Level 0 data package found here: https://portal.edirepository.org/nis/mapbrowse?scope=knb-lter-ntl&identifier=11&revision=28

The abstract below was extracted from the Level 0 data package and is included for context:
DOI: 10.15468/mid3vk
title: Checklist derived from plant species of Benin downloaded from GBIF site

description: Plant species collected throughout Benin were published on GBIF site. Data concerning those species were downloaded from GBIF site. Using Excel dynamic pivot table we derived and achieved the checklist of plant species of Benin from the dataset downloaded.
DOI: 10.5281/zenodo.2538026
title: Cloud droplet growth due to supersaturation fluctuations in stratiform clouds

description: Datasets with numerical setups and direct numerical simulation (DNS) data for "Cloud-droplet growth due to supersaturation fluctuations in stratiform clouds",  <em>Atmosph. Chem. Phys.</em>, DOI: https://doi.org/10.5194/acp-2018-644
description: https://www.nordita.org/~brandenb/projects/supersat/
DOI: 10.5281/zenodo.2538027
title: Cloud droplet growth due to supersaturation fluctuations in stratiform clouds

description: Datasets with numerical setups and direct numerical simulation (DNS) data for "Cloud-droplet growth due to supersaturation fluctuations in stratiform clouds",  <em>Atmosph. Chem. Phys.</em>, DOI: https://doi.org/10.5194/acp-2018-644
description: https://www.nordita.org/~brandenb/projects/supersat/
DOI: 10.14272/qzrdvuopvscuat-uhfffaoysa-n
title: C14H9N5
title: InChI=1S/C14H9N5/c15-19-18-14-13(10-6-2-1-3-7-10)16-11-8-4-5-9-12(11)17-14/h1-9H

description: This dataset contains experimental data from a sample (2-azido-3-phenylquinoxaline, InChI=1S/C14H9N5/c15-19-18-14-13(10-6-2-1-3-7-10)16-11-8-4-5-9-12(11)17-14/h1-9H).
      The datasets from the following experiments are available:
      
      1H NMR
      
      Mass
      
      13C NMR
      
      IR
DOI: 10.14272/qzrdvuopvscuat-uhfffaoysa-n/13cnmr
title: 13C NMR (2-azido-3-phenylquinoxaline, InChI=1S/C14H9N5/c15-19-18-14-13(10-6-2-1-3-7-10)16-11-8-4-5-9-12(11)17-14/h1-9H)

description: dataset for 13C NMR
      
      13C NMR (100 MHz, CDCl3, ppm) δ = 116.43, 124.49, 129.11 (2C), 129.78 (2C), 129.99, 130.64, 130.81, 132.34, 134.27, 137.03, 148.32.
DOI: 10.14272/qzrdvuopvscuat-uhfffaoysa-n/1hnmr
title: 1H NMR (2-azido-3-phenylquinoxaline, InChI=1S/C14H9N5/c15-19-18-14-13(10-6-2-1-3-7-10)16-11-8-4-5-9-12(11)17-14/h1-9H)

description: dataset for 1H NMR
      
      1H NMR (400 MHz, CDCl3, ppm) δ = 7.71–7.58 (m, 3H), 7.92–7.81 (m, 2H), 8.39–8.29 (m, 1H), 8.71–8.59 (m, 1H), 9.00–8.89 (m, 2H).
DOI: 10.14272/qzrdvuopvscuat-uhfffaoysa-n/ir
title: IR (2-azido-3-phenylquinoxaline, InChI=1S/C14H9N5/c15-19-18-14-13(10-6-2-1-3-7-10)16-11-8-4-5-9-12(11)17-14/h1-9H)

description: dataset for IR
      
      IR (ATR, ṽ) = 456, 493, 557, 574, 616, 630, 657, 671, 687, 703, 728.10, 765, 795, 850, 925, 935, 948, 994, 1017, 1026, 1075, 1084, 1102, 1139, 1156, 1181, 1200, 1224, 1240, 1256, 1285, 1330, 1343, 1402, 1438, 1448, 1465, 1493, 1506, 1537, 1577, 1609, 3063 cm–1.
DOI: 10.14272/qzrdvuopvscuat-uhfffaoysa-n/mass
title: Mass (2-azido-3-phenylquinoxaline, InChI=1S/C14H9N5/c15-19-18-14-13(10-6-2-1-3-7-10)16-11-8-4-5-9-12(11)17-14/h1-9H)

description: dataset for Mass
      
      EI (m/z, 70 eV, 20 °C): 247 (12) [M]+, 221 (26), 220 (48), 219 (100), 218 (19), 91 (12).HRMS (C14H9N5): Calcd 247.0858 found 247.0857