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141 results for “affiliation”

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zenodo44/100

ANPERC-source/SEG_Annual: The database of words and affiliations of the SEG Annual Conferences (1982 - 2019)

<p>The database of words and affiliations of the SEG Annual Conferences (1982 - 2019) v1.0 This repository includes data for the words and phrases frequency of occurrence analysis &quot;SEGgrams.sqlite&quot; and the database &quot;SEG_affiliations_data.sqlite&quot; consisting of the industry companies and academia of different countries that presented their research during the Society of Explorational Geophysicists Annual Conferences (1982 - 2019) with the corresponding number of affiliations for the whole period of study.</p>

opencc-by-4.0May 2020View details →
zenodo44/100

Data affiliated with "Evolution of Flare Activity in GKM Stars Younger than 300 Myr over Five Years of TESS Observations"

<p>Data and Python scripts affiliated with the publication "Evolution of Flare Activity in GKM Stars Younger than 300 Myr over Five Years of TESS Observations" in the American Astronomical Journals. The manuscript pre-print can be found on <a href="https://arxiv.org/abs/2405.00850">arXiv</a>.</p> <p>This repository contains all of the data used to complete the analysis of the aforementioned manuscript, along with the Python scripts used to create all of the figures in the manuscript. Many of the data products from this manuscript are saved as CSVs, with appropriate column names and units, when applicable.</p> <p>Additionally, we include the light curves for all targets in this sample, along with the 'probability light curves,' which were used to identify flares in the TESS data. These data products can be found in the zip file 'TESS_stella_outputs.zip'. The rest of the data product is structured as it is on the&nbsp;<a href="https://github.com/afeinstein20/young-stellar-flares/tree/paper">associated GitHub repository</a>.</p>

openmit-licenseMay 2024View details →
zenodo44/100

Who's Who of American Returned Students 遊美同學錄 (1917): Affiliation Data (Chinese)

<p>This dataset is derived from the&nbsp;<em>Whoʻs Who of American Returned Students&nbsp;</em>遊美同學錄<em>&nbsp;</em>[<em>Youmei Tongxue Lu</em>] published in<em>&nbsp;</em>Peking [Beijing] in 1917,&nbsp;compiled by the&nbsp;Returned Students&rsquo; Information Bureau (Liumei xuesheng tongxunchu 留美學生通訊處) established at Tsinghua School in 1915. This book is crucial for documenting&nbsp;the early&nbsp;<em>liumei</em>&#39;s experiences&nbsp;during the transitional period between the late Qing dynasty&nbsp;and the early years of the Republic (1911-).&nbsp;&nbsp;</p> <p>The dataset&nbsp;records all the institutions to which the&nbsp;students were affiliated in the course of their lives, including the educational institutions in which they studied in China,&nbsp;the United States, and other countries; the public or private organizations in which they were employed; as well as their memberships in&nbsp;clubs and associations. The names of organizations were retrieved automatically from the Chinese biographies using&nbsp;<a href="https://bookdown.enpchina.eu/rpackage/HistTextRManual.html#4_Named_Entity_Recognition">named entity recognition</a>&nbsp;(SpaCy model), then manually cleaned, classified, and validated by the author.&nbsp;</p> <p>The attached file contains three&nbsp;tabs for&nbsp;(1)&nbsp;the list of affiliations (data); (2)&nbsp;the classification of organizations&nbsp;(class), and (3) the description of variables (key).&nbsp;The dataset records a total of 2,883&nbsp;affiliations, linking 401 unique individuals to 1,344 unique institutions, distributed as followed:&nbsp;</p> <table> <tbody> <tr> <td><strong>category</strong></td> <td><strong>n</strong></td> </tr> <tr> <td>education</td> <td>565</td> </tr> <tr> <td>association</td> <td>271</td> </tr> <tr> <td>administration</td> <td>132</td> </tr> <tr> <td>business</td> <td>110</td> </tr> <tr> <td>facility</td> <td>92</td> </tr> <tr> <td>media</td> <td>66</td> </tr> <tr> <td>government</td> <td>49</td> </tr> <tr> <td>factory</td> <td>30</td> </tr> <tr> <td>other</td> <td>22</td> </tr> <tr> <td>military</td> <td>7</td> </tr> </tbody> </table>

opencc-by-4.0Jan 2023View details →
zenodo44/100

Who's Who of American Returned Students 遊美同學錄 (1917): Affiliation Data (English)

<p>This dataset is derived from the&nbsp;<em>Whoʻs Who of American Returned Students&nbsp;</em>遊美同學錄<em>&nbsp;</em>[<em>Youmei Tongxue Lu</em>] published in<em>&nbsp;</em>Peking [Beijing] in 1917,&nbsp;compiled by the&nbsp;Returned Students&rsquo; Information Bureau (Liumei xuesheng tongxunchu 留美學生通訊處) established at Tsinghua School in 1915. This book is crucial for documenting&nbsp;the early&nbsp;<em>liumei</em>&#39;s experiences&nbsp;during the transitional period between the late Qing dynasty&nbsp;and the early years of the Republic (1911-).&nbsp;&nbsp;</p> <p>The dataset&nbsp;records all the institutions to which the&nbsp;students were affiliated in the course of their lives, including the educational institutions in which they studied in China,&nbsp;the United States, and other countries; the public or private organizations in which they were employed; as well as their memberships in&nbsp;clubs and associations. The names of organizations were retrieved automatically using <a href="https://bookdown.enpchina.eu/rpackage/HistTextRManual.html#4_Named_Entity_Recognition">named entity recognition</a> (SpaCy model), then manually cleaned, classified, and validated by the author.&nbsp;</p> <p>The attached file contains three tabs for&nbsp;(1)&nbsp;the list of affiliations (data), (2) the classification of institutions (class); (3) the description of variables (key).&nbsp;The dataset records a total of 3,431 affiliations, linking 401 unique individuals to 1,305 unique institutions, distributed as followed:&nbsp;</p> <table> <tbody> <tr> <td><strong>category_main</strong></td> <td><strong>n</strong></td> </tr> <tr> <td>education</td> <td>535</td> </tr> <tr> <td>association</td> <td>255</td> </tr> <tr> <td>media</td> <td>108</td> </tr> <tr> <td>administration</td> <td>92</td> </tr> <tr> <td>business</td> <td>85</td> </tr> <tr> <td>facility</td> <td>47</td> </tr> <tr> <td>executive</td> <td>43</td> </tr> <tr> <td>railway</td> <td>39</td> </tr> <tr> <td>production</td> <td>33</td> </tr> <tr> <td>banking</td> <td>15</td> </tr> <tr> <td>other</td> <td>15</td> </tr> <tr> <td>event</td> <td>13</td> </tr> <tr> <td>military</td> <td>13</td> </tr> <tr> <td>judiciary</td> <td>8</td> </tr> <tr> <td>legislative</td> <td>4</td> </tr> </tbody> </table> <p>&nbsp;</p> <p>&nbsp;</p>

opencc-by-4.0Jan 2023View details →
zenodo40/100

BDRC Institutional Affiliation Network Data

<p>These two files correspond to the edge list and the node list used to build the network of institutional affiliations (individuals&#39; positions in institutions) in the&nbsp;<em>Biographical Dictionary of Republican China</em> (BDRC).&nbsp;</p>

opencc-by-4.0Nov 2020View details →
zenodo40/100

Brazilian Scientific Publication Records and Author Affiliations from Lattes until Feb 2017 (Anonymized)

<p>This file contains anonymized data about researcher profiles and publication records available extracted from the Lattes Platform in in February 2017 using the LattesDataXplorer tool.&nbsp;Lattes is a vast repository of researchers&#39; curriculum vitae, widely adopted in Brazil. This platform is maintained by the Brazilian National Council of Scientific and Technological Development (CNPq) and is an internationally renowned initiative.</p> <p>In the zipped file, there are two files:</p> <ul> <li>anon_authors.csv contains data about researchers.&nbsp;It has 3 columns <ul> <li>profile: researcher anonymized id</li> <li>instituition: researcher affiliation</li> <li>zipcode: institution zip code</li> </ul> </li> </ul> <ul> <li>anon_papers.csv&nbsp;contains data about researchers&#39; publications. It has 4 columns: <ul> <li>profile: researcher anonymized id</li> <li>year: publication year</li> <li>venue: publication venue</li> <li>authors: number of authors</li> </ul> </li> </ul>

opencc-by-4.0Nov 2020View details →
zenodo40/100

The database of words and affiliations of the SEG Annual Conferences (1982 - 2019)

<p>The database of the SEG Annual meetings v2.0<br> This repository includes data for the words and phrases frequency of occurrence analysis &quot;SEGgrams.sqlite&quot; and the database &quot;SEG_affiliations_data.sqlite&quot; consisting of the industry companies and different countries academia that presented their research during the 38 Society of Explorational Geophysicists Annual Conferences (1982 - 2019) with the corresponding number of affiliations for the whole period of study.</p>

opencc-by-4.0May 2020View details →
zenodo40/100

Characterization of a loss-of-function NAPB mutation in monozygotic triplets affected with epilepsy and autism using cortical neurons from proband-derived and CRISPR-corrected iPSC lines. Author names and affiliations

<p>RNA-seq data of matured cortical neurons (8-weeks old) derived from induced pluripoent stem cells (iPSC). There are three replicates (Rep1, Rep2, Rep3) for each sample&nbsp; with Forwad read (R1_001.fastq.gz) and reverse read (R2_001.fastq.gz).</p> <p>CtrlF:&nbsp; Control Father sample</p> <p>CtrlM: Control mother sample</p> <p>NDD_01: Proband sample</p> <p>NDD_04: Proband sample</p> <p>NDD_05: Proband sample</p>

opencc-by-4.0Dec 2023View details →
zenodo40/100

Collection agents affiliated with the Museum für Naturkunde Berlin

<p>Open dataset of collection agents affiliated with the Museum f&uuml;r Naturkunde Berlin, static snapshot related to project output, dynamic dataset available via Wikidata SPARQL queries. Related article submitted to journal RIO.</p>

opencc-by-4.0Dec 2023View details →
zenodo40/100

Affiliations of ISGC participants

<p>These are affiliation data of ISGC participants with enrichments from Marion Maisonobe. This dataset is one of the outcomes of the NETCONF research project : <a href="https://netconf-geoscimo.univ-tlse2.fr">https://netconf-geoscimo.univ-tlse2.fr </a></p>

opencc-by-4.0Apr 2024View details →
zenodo40/100

Supplementary Material of "How Does Author Affiliation Affect Preprint Citation Count? Analyzing Citation Bias at the Institution and Country Level"

<p>The source code and dataset for the following paper:</p> <p>Nishioka, C., F&auml;rber, M., and Saier, T. How Does Author Affiliation Affect Preprint Citation Count? Analyzing Citation Bias at the Institution and Country Level. In Proceedings of the ACM/IEEE Joint Conference on Digital Libraries in 2022 (JCDL &#39;22), 2022.</p> <p>&nbsp;</p>

opencc-by-4.0Apr 2022View details →
zenodo40/100

Рис. 2.Соотношение виΑов рыб на ΛитораΛи Тауйской губы: А — по их зоогеографической принаΑΛежности; Б — по принаΑΛежности к ихтиоцену. Обозначения см. в табΛице 1 Fig. 2. Ratio of fish species in the littoral zone of Tauysk Bay: А — according to their zoogeographic affiliation; Б — by belonging to the ichthyocene. Designations are similar to those in Table 1. in Species diversity and dominant species of the littoral area fishes of Tauysk bay, the Sea of Okhotsk

Рис. 2.Соотношение виΑов рыб на ΛитораΛи Тауйской губы: А — по их зоогеографической принаΑΛежности; Б — по принаΑΛежности к ихтиоцену. Обозначения см. в табΛице 1 Fig. 2. Ratio of fish species in the littoral zone of Tauysk Bay: А — according to their zoogeographic affiliation; Б — by belonging to the ichthyocene. Designations are similar to those in Table 1.

opencc-by-4.0Dec 2021View details →
zenodo40/100

OpenCSMap dataset: DBLP articles with affiliations

<p>Dataset contains DBLP articles (journal and conference papers) along with one affiliation found for some of them.</p>

opencc-by-4.0Jun 2021View details →
zenodo40/100

Figs 12–19 in The identity and family affiliation of Scelomyza hirticornis (Diptera: Opomyzidae, Anthomyzidae), with a new checklist of Afrotropical Anthomyzidae

Figs 12–19. Scelomyza hirticornis Séguy, 1938, female holotype. 12 – postabdomen, dorsally; 13 – spermatheca, shape reconstructed; 14 – postabdomen, ventrally; 15 – ditto, laterally (chaetotaxy and shape of sclerites reconstructed); 16 – spermatheca, original condition; 17 – terminal part of spermathecal duct; 18 – internal sclerites of genital chamber, laterally; 19 – annular sclerite in genital chamber, ventrally. Scales = 0.1 mm (Figs 12, 14, 15), 0.03 mm (Figs 13, 16, 17) and 0.05 mm (Figs 18, 19). For abbreviations see text (p. 385).

opencc-by-4.0Apr 2014View details →
zenodo40/100

Figs 10–11 in The identity and family affiliation of Scelomyza hirticornis (Diptera: Opomyzidae, Anthomyzidae), with a new checklist of Afrotropical Anthomyzidae

Figs 10–11. Scelomyza hirticornis Séguy, 1938, female holotype. 10 – right wing, reconstructed from two parts on Séguy's original slide; 11 – left wing, from the same slide. Wing length cca 1.95 mm. Photo by J. Roháþek (10) and J. W. van Zuijlen (11).

opencc-by-4.0Apr 2014View details →
zenodo40/100

Figs 5–9 in The identity and family affiliation of Scelomyza hirticornis (Diptera: Opomyzidae, Anthomyzidae), with a new checklist of Afrotropical Anthomyzidae

Figs 5–9. Scelomyza hirticornis Séguy, 1938, female holotype. 5 – head sublaterally, reconstruction; 6 – left mid femur and tibia, posteriorly; 7 – left fore trochanter, femur, tibia and basitarsus, posteriorly, chaetotaxy of femur reconstructed; 8 – original illustration of head by SÉGUY (1938), laterally; 9 – ditto, frontally. All scales = 0.25 mm. For abbreviations see text (p. 385).

opencc-by-4.0Apr 2014View details →
zenodo40/100

Bibliographic data on datasets affiliated to Poznan University of Technology and indexed in Data Citation Index (retrieved by Web of Science service in January 2023))

<p>The file contains the number of datasets published by the researchers affiliated to Poznan University of Technology and indexed in Data Citation Index provided by Web of Science (database updated 10.01.2023). The Search was performed using the name of institution in the &#39;Affiliation&#39; field. Dataset contains two files in two diffrent formats: plain text and xls.</p>

opencc-byJan 2023View details →
zenodo40/100

Historical institutional affiliations of participants in Poland's 1989 Round Table

<p>Data&nbsp;collected by Dr. Domber from:</p> <ul> <li> <p>Okrągły&nbsp;st&oacute;ł&nbsp;.&nbsp;Kto&nbsp;jest&nbsp;kim&nbsp;opozycja&nbsp;(1989)</p> </li> <li> <p>Encyclopedia&nbsp;Solidarności&nbsp;(ESC and&nbsp;IPN)</p> </li> <li> <p>Kto&nbsp;jest Kim w&nbsp;Polsce&nbsp;(1989 and 1993)</p> </li> <li> <p>Opozycja&nbsp;w&nbsp;Polsce.&nbsp;Slownik&nbsp;Biograficzny&nbsp;1956-1989</p> </li> <li> <p>Mołdawa,&nbsp;Ludzie&nbsp;Władza&nbsp;1944-1991</p> </li> <li> <p>Kto&nbsp;jest Kim w&nbsp;Polsce&nbsp;(1989 and 1993)</p> </li> <li> <p>AAN PZPR CC&nbsp;Centralna&nbsp;Kartoteka</p> </li> <li> <p>IPN&nbsp;Biuletyn&nbsp;Informacji&nbsp;Publicznej</p> </li> <li> <p>Internet Searches</p> </li> </ul> <p>&nbsp;</p> <p>Data cleaned by Dr. Bodwin</p>

opencc-by-4.0Apr 2023View details →
zenodo40/100

The affiliation network of the Radical Open Access Collective visualised

<p>This figure depicts the affiliation network of the Radical Open Access Collective (https://radicaloa.postdigitalcultures.org/), which is an international community of scholar-led publishing initiatives. It was formed in 2015 and the data collection via web-based research took place in the period from April 2021 until April 2022. The visualisation process was developed interatively throughout a qualitatively driven mixed methods research on scholar-led publishing initiatives. As part of 23 qualitative expert interviews, network elicitation was embedded as a method of mixed methods social network analysis. Several iterations of the network map were created with the software MindManager 2020. An edited version of the network graph was published in the Journal of Scholarly Publishing (Schimmel, 2023).</p>

opencc-by-4.0Aug 2024View details →
dryad40/100

Differential effects of multiplex and uniplex affiliative relationships on biomarkers of inflammation

Open the record for dataset details and reuse information.

publicNov 2024View details →

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