cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4612152
title: Dataset for the article "Relationship patterns in the 19th century: The friendship network in a German boys' school class from 1880 to 1881 revisited" by Heidler, Gamper, Herzd & Eßer (https://doi.org/10.1016/j.socnet.2013.11.001)

description: GEFX File. CLASS OF 1880/81: friendship network of a German boys' school class from 1880/1881. It's based on the probably first ever primarily collected social network dataset, assembled by the primary school teacher Johannes Delitsch. The data was reanalyzed and compiled for the article. Feel free to use it.
description: Please Cite the Original Article. File was originally stored here: https://www.org-soz.uni-wuppertal.de/fileadmin/soziologie/org-soz/files/Heidler_et_al_2013_Relationship_patterns_in_the_19th_century.gephi New upload by Richard Heidler.
DOI: 10.6084/m9.figshare.12635732
title: other required sample dataset

description: dataset required for example
DOI: 10.6084/m9.figshare.12635735
title: GRACE sample data

description: GRACE SH data example
DOI: 10.6084/m9.figshare.12635741
title: Evapotranspiration data sample

description: model Evapotranspiration for example
DOI: 10.6084/m9.figshare.12635747
title: Downscaled ITSG GRACE data

description: Downscaled ITSG GRACE data
DOI: 10.6084/m9.figshare.12635738
title: Precipitation data sample

description: model Precipitation for example
DOI: 10.6084/m9.figshare.12635732.v1
title: other required sample dataset

description: dataset required for example
DOI: 10.6084/m9.figshare.12635750
title: Downscaled JPL GRACE data

description: downscaled JPL GRACE data
DOI: 10.6084/m9.figshare.12635738.v1
title: Precipitation data sample

description: model Precipitation for example
DOI: 10.6084/m9.figshare.12635753
title: readme doc

description: Helps to use codes
DOI: 10.6084/m9.figshare.12635756
title: runoff sample data

description: model runoff
DOI: 10.6084/m9.figshare.12635753.v1
title: readme doc

description: Helps to use codes
DOI: 10.5281/zenodo.4611575
title: Sample Redistricting Solutions for US State Legislatures using SFSR-G Algorithm

description: A sample of redistricting solutions for 12 selected US State legislatures using the SFSR-G Algorithm. For each legislature, solutions were calculated using either CVAP or total population apportionment basis.
DOI: 10.5281/zenodo.4611574
title: Sample Redistricting Solutions for US State Legislatures using SFSR-G Algorithm

description: A sample of redistricting solutions for 12 selected US State legislatures using the SFSR-G Algorithm. For each legislature, solutions were calculated using either CVAP or total population apportionment basis.
DOI: 10.15479/at:ista:9222
title: Transport data for: Site‐controlled uniform Ge/Si Hut wires with electrically tunable spin–orbit coupling
DOI: 10.5281/zenodo.4612265
title: Asteroseismic, Astrometric, Kinematic and Spectro-Photometric Parameters for red giant stars in the TESS-CVZ

description: This repository contains the catalogued results presented in the paper 'Prospects for Galactic and stellar astrophysics with asteroseismology of giant stars in the <em>TESS</em> Continuous Viewing Zones and beyond'. In particular, the catalogue contains robust asteroseismic parameters for 5,574 red giant stars in the TESS southern continuous viewing zone (CVZ), based on light curves extracted from the full frame images. We also present mass, age and radius determinations based on an analysis with the Bayesian parameter estimation code, PARAM. Alongside the newly derived data, we present the important parameters for each target extracted from the Gaia DR2, APOGEE DR16, TESS-Hermes DR1, and SkyMapper DR1 data. The fields included in the dataset are described in Table D1 of the paper. The catalogue is offered in both ASCII and FITS standards. Light curves and other raw format data are available upon reasonable request to the authors.
DOI: 10.5281/zenodo.4611184
title: Raw Data for manuscript submitted to PCI as 'Early Spring Snowmelt and Summer Droughts Strongly Impair the Resilience of Key Microbial Communities in Subalpine Grassland Ecosystems'

description: Raw Data for manuscript submitted to PCI Ecology as 'Early Spring Snowmelt and Summer Droughts Strongly Impair the Resilience of Key Microbial Communities in Subalpine Grassland Ecosystems'
DOI: 10.5281/zenodo.4609198
title: (Annotations) Transcriptomes from Thalassiosira and Minidiscus diatoms from English Channel and Antarctic coastal waters

description: Annotation of transcriptomes using different strategies, separated annotations according software used
DOI: 10.5281/zenodo.4609197
title: (Annotations) Transcriptomes from Thalassiosira and Minidiscus diatoms from English Channel and Antarctic coastal waters

description: Annotation of transcriptomes using different strategies, separated annotations according software used
DOI: 10.34740/kaggle/dsv/2033406
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.15129/5b6021cb-7e6e-42b6-8f18-02596defd539
title: Data for: "An investigation into the behaviour of selected boundary regime lubricants when cold forging steel under rolling-sliding conditions"

description: Herein is contained the raw data that underpins the paper "An investigation into the behaviour of selected boundary regime lubricants when cold forging steel under rolling-sliding conditions" that has been accepted by Tribology International. This work was funded by Rolls-Royce Plc and Innovate UK: Aerospace Technology Institute Strategic R&D Project grant (application no. 66733-263147) titled “Manufacturing Portfolio Project 2: Manufacture of Advanced Materials. Data is raw and as such exists in the respective "as generated" formats. The set contains press control system files and data generated from the following analysis techniques: scanning electron microscopy (FEI Quanta 650), electron probe microanalysis (Oxford Instruments), optical microscopy (Lynx EVO; Alicona InfiniteFocus G4; Leica DM12000M), micro x-ray fluorescence (Bruker M4 Tornado).
DOI: 10.17632/7y4stc2mhy.1
title: Data for: Economies of Scale and International Business Cycles

description: Run 1. rts_6dg.do (cost structure estimation) 2. BC_6dg_new_table.do (main regression results with tables) 3. results_6dg.do (figures and tables). The do-file "rts_6dg.do" needs "naics5811.dta" (available from the NBER website) and "ivset_alter.dta" (set of instrumental variables). See the online appendix for the details of data construction. The do-file "BC_6dg_new_table.do" needs "trade_flow_6dg.dta" that is available from Schott's International Economics Resource Page but you need to merge it. (I will provide "trade_flow_6dg.dta" upon request.) Also, the file needs "gdp_base.dta" which is from Penn World Table 9.0.
DOI: 10.6084/m9.figshare.12179784
title: Antibiotic darobactin mimics a β-strand to inhibit outer membrane insertase

description: Raw mass spectrometry data for main figure 3e and extended data figure 6
DOI: 10.6084/m9.figshare.14230427
title: Supplementary material 1 of study Special Populations

description: Supplementary material 1 of study <b>Special populations: Samba, deep water and poles: a framework for exercise prescription in Parkinson's disease</b><br><b> <b>Detailed prescription of training programs.</b></b>
DOI: 10.6084/m9.figshare.14223070.v2
title: PAN_vf

description: VF Data PAN
DOI: 10.21227/rrpc-gm77
title: January 20 submission

description: ---
DOI: 10.6084/m9.figshare.14230433.v1
title: longlivedsupercells_model_latlon.csv

description: List dates of long-lived, isolated supercells in Great Plains of U.S. between 2002 and 2017. Dataset also includes list of model lat/lons used for model analysis soundings (via RUC or RAP) at each hour of supercell's lifetime.
DOI: 10.6084/m9.figshare.14230433
title: longlivedsupercells_model_latlon.csv

description: List dates of long-lived, isolated supercells in Great Plains of U.S. between 2002 and 2017. Dataset also includes list of model lat/lons used for model analysis soundings (via RUC or RAP) at each hour of supercell's lifetime.
DOI: 10.6084/m9.figshare.14230385
title: 01.11.2018-MASTER_SPREADSHEET(1).csv

description: The dataset includes every abstract (lecture, workshop, panel/colloquia, symposia, and poster) from the annual Association for Applied Sport Psychology conference from 2008 to 2017. Columns C to W represents the categories of analysis. If a "1" appears in the cell, this means a particular abstract was coded for a particular category of analysis. Column X includes all diversity issues. Column & includes all diverse samples. Column Z includes all diversity issues and diverse samples. The timing of all diversity-issue coded abstracts (with the exception of posters) were recorded, specifically the day (Column AA), start time (Column AB), and end time (Column AC). Finally, the abstract first author's country of affiliation was recorded in Column AD.
DOI: 10.5517/ccdc.csd.cc2410w3
title: CCDC 1967194: Experimental Crystal Structure Determination

description: Related Article: Yulia Livshits-Kritsman, Boris Tumanskii, Gabriel Ménard, Roman Dobrovetsky|2020|Chem.Commun.|56|1341|doi:10.1039/C9CC09244G
DOI: 10.5517/ccdc.csd.cc2410x4
title: CCDC 1967195: Experimental Crystal Structure Determination

description: Related Article: Yulia Livshits-Kritsman, Boris Tumanskii, Gabriel Ménard, Roman Dobrovetsky|2020|Chem.Commun.|56|1341|doi:10.1039/C9CC09244G
DOI: 10.5281/zenodo.4610529
title: Clinically-relevant COVID-19 tweets authored by health-care professionals from January to June 2020

description: The rapid evolution of the COVID-19 pandemic has underscored the need to quickly disseminate the latest clinical knowledge during a public-health emergency. One surprisingly effective platform for healthcare professionals (HCPs) to share knowledge and experiences from the front lines has been social media (for example, the "#medtwitter" community on Twitter). However, identifying clinically-relevant content in social media without manual labeling is a challenge because of the sheer volume of irrelevant data. This dataset attempts to automatically extract tweets authored by HCPs and then filter for clinically relevant content. The dataset is derived from a large set of English tweets related to COVID-19 (retweets and bots removed) from January to June 2020 (version 14). We utilize a regex based filter on user names, screen names, and bios to identify likely HCPs, narrowing down from around 52 million tweets to around 1 million. We augment the dataset by including any additional tweets in <em>threads</em> for which at least one tweet is present in the dataset. This results in tweets_level_0.csv. Note that this set contains almost all self-declared HCPs, but also includes some false positives; therefore, we develop an iterative relevance filtering pipeline that uses topic modeling and MetaMap concept annotation to identify and enrich clinically-relevant content. Subsequent files represent the outputs of each iteration of filtering. Please see our preprint for more details about our filtering method. Each CSV file includes the following fields: "id" (the tweet ID, accessible using the Twitter API), "thread_id" (a generated value that is shared by multiple tweets in the same thread), and "date" (the date that the tweet was posted). Due to Twitter policies, we cannot provide the contents of the tweets, and ask that you "hydrate" the tweets using a Twitter API tool such as twarc. Note that some tweets may have been deleted since the collection of our dataset and will no longer be available.
description: {"references": ["Banda, Juan M., Tekumalla, Ramya, Wang, Guanyu, Yu, Jingyuan, Liu, Tuo, Ding, Yuning, \u2026 Chowell, Gerardo. (2020). A large-scale COVID-19 Twitter chatter dataset for open scientific research - an international collaboration (Version 14.0) [Data set]. Zenodo. http://doi.org/10.5281/zenodo.3893828"]}
DOI: 10.5281/zenodo.4610528
title: Clinically-relevant COVID-19 tweets authored by health-care professionals from January to June 2020

description: The rapid evolution of the COVID-19 pandemic has underscored the need to quickly disseminate the latest clinical knowledge during a public-health emergency. One surprisingly effective platform for healthcare professionals (HCPs) to share knowledge and experiences from the front lines has been social media (for example, the "#medtwitter" community on Twitter). However, identifying clinically-relevant content in social media without manual labeling is a challenge because of the sheer volume of irrelevant data. This dataset attempts to automatically extract tweets authored by HCPs and then filter for clinically relevant content. The dataset is derived from a large set of English tweets related to COVID-19 (retweets and bots removed) from January to June 2020 (version 14). We utilize a regex based filter on user names, screen names, and bios to identify likely HCPs, narrowing down from around 52 million tweets to around 1 million. We augment the dataset by including any additional tweets in <em>threads</em> for which at least one tweet is present in the dataset. This results in tweets_level_0.csv. Note that this set contains almost all self-declared HCPs, but also includes some false positives; therefore, we develop an iterative relevance filtering pipeline that uses topic modeling and MetaMap concept annotation to identify and enrich clinically-relevant content. Subsequent files represent the outputs of each iteration of filtering. Please see our preprint for more details about our filtering method. Each CSV file includes the following fields: "id" (the tweet ID, accessible using the Twitter API), "thread_id" (a generated value that is shared by multiple tweets in the same thread), and "date" (the date that the tweet was posted). Due to Twitter policies, we cannot provide the contents of the tweets, and ask that you "hydrate" the tweets using a Twitter API tool such as twarc. Note that some tweets may have been deleted since the collection of our dataset and will no longer be available.
description: {"references": ["Banda, Juan M., Tekumalla, Ramya, Wang, Guanyu, Yu, Jingyuan, Liu, Tuo, Ding, Yuning, \u2026 Chowell, Gerardo. (2020). A large-scale COVID-19 Twitter chatter dataset for open scientific research - an international collaboration (Version 14.0) [Data set]. Zenodo. http://doi.org/10.5281/zenodo.3893828"]}
DOI: 10.3886/e113163v1-81480
title: Replication data for: The Effects of Pretrial Detention on Conviction, Future Crime, and Employment: Evidence from Randomly Assigned Judges

description: Over 20 percent of prison and jail inmates in the United States are currently awaiting trial, but little is known about the impact of pretrial detention on defendants. This paper uses the detention tendencies of quasi-randomly assigned bail judges to estimate the causal effects of pretrial detention on subsequent defendant outcomes. Using data from administrative court and tax records, we find that pretrial detention significantly increases the probability of conviction, primarily through an increase in guilty pleas. Pretrial detention has no net effect on future crime, but decreases formal sector employment and the receipt of employment- and tax-related government benefits. These results are consistent with (i) pretrial detention weakening defendants' bargaining positions during plea negotiations and (ii) a criminal conviction lowering defendants' prospects in the formal labor market.
DOI: 10.15468/j3caxn
title: Review of Odontoscelio Kieffer, 1905 (Platygastroidea, Scelionidae) with the description of two new species from India

description: This dataset contains the digitized treatments in Plazi based on the original journal article Veenakumari, Kamalanathan, Mohanraj, Prashanth (2021): Review of Odontoscelio Kieffer, 1905 (Platygastroidea, Scelionidae) with the description of two new species from India. European Journal of Taxonomy 739 (1): 51-91, DOI: https://doi.org/10.5852/ejt.2021.739.1267, URL: http://dx.doi.org/10.5852/ejt.2021.739.1267
DOI: 10.15468/ehttru
title: Revision of the elusive ant genus Rhopalomastix (Hymenoptera, Formicidae, Myrmicinae) in Thailand based on morphology and DNA barcodes, with descriptions of three new species

description: This dataset contains the digitized treatments in Plazi based on the original journal article Wang, Wendy Y., Yong, Gordon W. J., Jaitrong, Weeyawat (2021): Revision of the elusive ant genus Rhopalomastix (Hymenoptera, Formicidae, Myrmicinae) in Thailand based on morphology and DNA barcodes, with descriptions of three new species. European Journal of Taxonomy 739 (1): 117-157, DOI: https://doi.org/10.5852/ejt.2021.739.1271, URL: http://dx.doi.org/10.5852/ejt.2021.739.1271
DOI: 10.5281/zenodo.4611525
title: Predicted distributions of oak species in the continental United States

description: Predicted distribution of oak species in the continental US based on EO-bioclimatic and biophysical covariates. This dataset includes the predicted species ecological niches (i.e., existing abiotically suitable conditions for the species or the biotically reduced niche) and the estimated species distributions. We modeled both the ecological niches and the distribution of 82 out of 91 oak species in the continental United States under a Bayesian framework. R code for modeling oak distributions can be found here: https://github.com/jesusNPL/BayesianSDMs_Oaks. The dataset also include the uncertainty in model predictions.
DOI: 10.5281/zenodo.4611524
title: Predicted distributions of oak species in the continental United States

description: Predicted distribution of oak species in the continental US based on EO-bioclimatic and biophysical covariates. This dataset includes the predicted species ecological niches (i.e., existing abiotically suitable conditions for the species or the biotically reduced niche) and the estimated species distributions. We modeled both the ecological niches and the distribution of 82 out of 91 oak species in the continental United States under a Bayesian framework. R code for modeling oak distributions can be found here: https://github.com/jesusNPL/BayesianSDMs_Oaks. The dataset also include the uncertainty in model predictions.
DOI: 10.6084/m9.figshare.14233049.v1
title: data of "Globalizations, exchange rate regimes, and the real interest rate parity: Historical evidence from a discrete wavelet perspective."

description: database of "<b>Globalizations, exchange rate regimes and the real interest rate parity: Historical evidence from a discrete wavelet perspective</b>"<br>
DOI: 10.6084/m9.figshare.14233049
title: data of "Globalizations, exchange rate regimes, and the real interest rate parity: Historical evidence from a discrete wavelet perspective."

description: database of "<b>Globalizations, exchange rate regimes and the real interest rate parity: Historical evidence from a discrete wavelet perspective</b>"<br>
DOI: 10.17909/t9-wgd8-yy03
title: Test DOI

description: This is a test
DOI: 10.15468/vzwbxn
title: Morphological and molecular analysis of Willowsia nigromaculata (Collembola, Entomobryidae, Entomobryinae) reveals a new cryptic species from the United States

description: This dataset contains the digitized treatments in Plazi based on the original journal article Cipola, Nikolas G., Katz, Aron D. (2021): Morphological and molecular analysis of Willowsia nigromaculata (Collembola, Entomobryidae, Entomobryinae) reveals a new cryptic species from the United States. European Journal of Taxonomy 739 (1): 92-116, DOI: https://doi.org/10.5852/ejt.2021.739.1269, URL: http://dx.doi.org/10.5852/ejt.2021.739.1269
DOI: 10.6084/m9.figshare.14233118
title: ileostomy datas.xlsx

description: In this cohort study, reviewed the medical records of 248 patients with colorectal cancer treated at the Hospital de Câncer de Barretos (HCB), from January 1, 2010 to December 31, 2013 and followed up until November 2018. The inclusion criteria included the selection of patients through the computerized hospital record, which showed the occurrence of surgeries in which the stoma was created. The data obtained from the review of medical records were recorded on a data collection form previously established for further analysis of the data. The exclusion criteria were: patients who underwent stoma making at another service and / or due to a pathology other than colorectal cancer.The probable risk factors defined were: gender, age, body mass index (BMI), comorbidities and lifestyle (diabetes, hypertension, heart disease, obesity and tabagism), anesthetic classification (ASA), reason for the indication of the stoma (protection, definitive, urgency, elective), presence of neoadjuvant radiotherapy, type of stoma (colostomy, ileostomy, terminal, loop or double barrel). The complications evaluated in the study were: skin dehiscence (collapse), abscess and / or peristomal infection, dermatitis, hydroelectrolytic disorder with or without renal failure, prolapse, hernia, obstruction, ischemia and / or necrosis, stenosis and death. Early complications were those that occurred less than 30 days after the stoma was made and late, those that occurred more than 30 days ago. Adjuvant therapy delay was defined as that which occurred more than 8 weeks after surgery and was exclusively due to stoma complications.There was no patient selection bias, since all patients undergoing ID in the period were evaluated. In order to analysis the data, we used the Chi-square test, Fisher's Exact test and Logistic Regression. A significance level of 5% was considered.
DOI: 10.6084/m9.figshare.14233118.v1
title: ileostomy datas.xlsx

description: In this cohort study, reviewed the medical records of 248 patients with colorectal cancer treated at the Hospital de Câncer de Barretos (HCB), from January 1, 2010 to December 31, 2013 and followed up until November 2018. The inclusion criteria included the selection of patients through the computerized hospital record, which showed the occurrence of surgeries in which the stoma was created. The data obtained from the review of medical records were recorded on a data collection form previously established for further analysis of the data. The exclusion criteria were: patients who underwent stoma making at another service and / or due to a pathology other than colorectal cancer.The probable risk factors defined were: gender, age, body mass index (BMI), comorbidities and lifestyle (diabetes, hypertension, heart disease, obesity and tabagism), anesthetic classification (ASA), reason for the indication of the stoma (protection, definitive, urgency, elective), presence of neoadjuvant radiotherapy, type of stoma (colostomy, ileostomy, terminal, loop or double barrel). The complications evaluated in the study were: skin dehiscence (collapse), abscess and / or peristomal infection, dermatitis, hydroelectrolytic disorder with or without renal failure, prolapse, hernia, obstruction, ischemia and / or necrosis, stenosis and death. Early complications were those that occurred less than 30 days after the stoma was made and late, those that occurred more than 30 days ago. Adjuvant therapy delay was defined as that which occurred more than 8 weeks after surgery and was exclusively due to stoma complications.There was no patient selection bias, since all patients undergoing ID in the period were evaluated. In order to analysis the data, we used the Chi-square test, Fisher's Exact test and Logistic Regression. A significance level of 5% was considered.
DOI: 10.25318/2310022601-eng
title:  Trucking financial statistics, by industry group, inactive

description: This table contains 126 series, with data for years 2009 - 2010 (not all combinations necessarily have data for all years), and was last released on 2015-02-06. This table contains data described by the following dimensions (Not all combinations are available): Geography (1 items: Canada ...), Financial statistics (21 items: Total revenue; Operating revenue from trucking; Other operating revenue; Total operating revenue ...), Industry group (6 items: Local trucking; Specialized freight; local trucking; Long distance trucking; General freight; local trucking ...).