cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc28kd3c
title: CCDC 2102082: Experimental Crystal Structure Determination

description: Related Article: Yu-Ying Jiang, Kun Zhang, Meng-Shu Zhou, Peng-Fu Gao, Hong-Ru Fu|2021|J.Solid State Chem.|304|122563|doi:10.1016/j.jssc.2021.122563
DOI: 10.6084/m9.figshare.16598861
title: FUS NOESY data

description: Raw, unprocessed NOESY data for FUS condensed phases.
DOI: 10.6084/m9.figshare.16598861.v1
title: FUS NOESY data

description: Raw, unprocessed NOESY data for FUS condensed phases.
DOI: 10.5281/zenodo.5217590
title: Data and code for "Carbon neutrality should not be the end goal: Lessons for institutional climate action from U.S. higher education"

description: Code and data for the paper "Carbon neutrality should not be the end goal: Lessons for institutional climate action from U.S. higher education" File descriptions: 'HEI_analysis_OneEarth.Rmd' is the code with improved annotation and colorblind-friendly figures. All other data files are provided as excel and csv for convenience. 'working_master_data' contains data from the Second Nature reporting platform on emissions by category for each institution analyzed in the paper (measured in metric tons). All adjustments necessary to fill in the data gaps in this file are documented at the beginning of 'HEI_analysis'. 'offsets' contains data on the type(s) of offsets purchased by each school in their carbon neutral year (measured in metric tons). This data was assembled from a variety of sources which are documented at the beginning of 'HEI_analysis'. 'carbon_neutral_years' contains yearly counts of higher education neutrality goals that were reported to Second Nature as of November 2020.
DOI: 10.5281/zenodo.5217589
title: Data and code for "Carbon neutrality should not be the end goal: Lessons for institutional climate action from U.S. higher education"

description: Code and data for the paper "Carbon neutrality should not be the end goal: Lessons for institutional climate action from U.S. higher education" File descriptions: 'HEI_analysis_OneEarth.Rmd' is the code with improved annotation and colorblind-friendly figures. All other data files are provided as excel and csv for convenience. 'working_master_data' contains data from the Second Nature reporting platform on emissions by category for each institution analyzed in the paper (measured in metric tons). All adjustments necessary to fill in the data gaps in this file are documented at the beginning of 'HEI_analysis'. 'offsets' contains data on the type(s) of offsets purchased by each school in their carbon neutral year (measured in metric tons). This data was assembled from a variety of sources which are documented at the beginning of 'HEI_analysis'. 'carbon_neutral_years' contains yearly counts of higher education neutrality goals that were reported to Second Nature as of November 2020.
DOI: 10.6084/m9.figshare.15025296.v2
title: Desmodus rotundus Occurrence Record Database

description: The common vampire bat (<i>Desmodus rotundus</i>) is a hematophagous bat species found across the North, Central, and South American continents. <i>Desmodus rotundus </i>is one of the only tree mammal species exclusively having a sanguivorous diet (i.e., blood). The species has a large distributional range and predates on a large range of vertebrate species. <i>Desmodus rotundus</i> is a know reservoir for the rabies virus and contributes to the continued spread of this pathogen across Latin America. Nevertheless, little is known about the historical distribuion of <i>D. rotundus</i> across it range. Historical occurrence data are critical for the assessment of past and current distributions for this species, and is necessary for a plethora of other ecological, biogeographic, and epidemiological studies. This is a dataset of <i>D. rotundus </i>historical occurrence including &gt;37,000 locality reports across the Americas to facilitate spatiotemporal studies of the species.<br>Data and metadata definitions. The following table provides standardized definitions of each occurrence metadata based on the the Darwin Core Archive format. Each piece of metadata for each occurrence is organized and recorded under the listed column headers.<br>Validation Code: This file contains code for usage and cleaning of the <i>Desmodus rotundus </i>record database. This code was also used for the Technical Validation process of the final <i>D. rotunudus</i> dataset.
DOI: 10.25345/c5tk16
title: MassIVE MSV000088116 - Ngercheumicin Fractions and Crude Extracts of bacteria
title: These are the ngercheumicin fractions and the crude extracts
DOI: 10.15139/s3/t5nyhd
title: Blackbeard Mission 6

description: Data collected by the acoustic wave glider Blackbeard on Mission 6 in Onslow Bay 2017-08-01 to 2017-08-09.
DOI: 10.15468/c5vkkj
title: A potential telephlebiid dragonfly (Odonata: Anisoptera: Aeshnoidea) from Miocene of Yunnan, southwestern China

description: This dataset contains the digitized treatments in Plazi based on the original journal article ZHENG, DA-RAN, LI, SHA, ZHAO, YI-SHAN, ZHANG, HAI-CHUN (2021): A potential telephlebiid dragonfly (Odonata: Anisoptera: Aeshnoidea) from Miocene of Yunnan, southwestern China. Palaeoentomology 4 (3): 237-242, DOI: 10.11646/palaeoentomology.4.3.11, URL: http://dx.doi.org/10.11646/palaeoentomology.4.3.11
DOI: 10.15468/32mueu
title: Morphological revision of Siphonophora hui (Myriapoda: Diplopoda: Siphonophoridae) from the mid-Cretaceous Burmese amber

description: This dataset contains the digitized treatments in Plazi based on the original journal article SU, YI-TONG, CAI, CHEN-YANG, HUANG, DI-YING (2021): Morphological revision of Siphonophora hui (Myriapoda: Diplopoda: Siphonophoridae) from the mid-Cretaceous Burmese amber. Palaeoentomology 4 (3): 279-288, DOI: 10.11646/palaeoentomology.4.3.15, URL: http://dx.doi.org/10.11646/palaeoentomology.4.3.15
DOI: 10.5281/zenodo.5515485
title: Numerical nine-shot seismo records for 1600 acoustic impedance distributions

description: This dataset contains numerical seismo records for 1600 synthetic acoustic impedance distributions presented in [1]. Forward modeling was performed using grid-characteristic numerical method. There are nine seismo records for each impedance distribution. The records differ in excitation pulse positions. The pulses are located equidistantly on the upper boundary of the domain. Acoustic impedance distributions are in masks/ folder. For example, the file masks/1.npy contains the distribution for the sample number 1. Seismo records are in seismograms/ folder, each file name contains distribution number and pulse location. For example, the file seismograms/1_position_10.npy contains seismo record for the impedance distribution 1 obtained with the pulse center located 10 percent from the left border of the domain. The data is in NumPy native format. Total dataset size is 6.9G after extraction. Archive md5 checksum: dc9f61333f1eef17526831e0c6d9b493 [1] Fangshu Yang and Jianwei Ma (2019). Deep-learning inversion: A next-generation seismic velocity model building method. DOI: 10.1190/geo2018-0249.1
DOI: 10.5281/zenodo.5515484
title: Numerical nine-shot seismo records for 1600 acoustic impedance distributions

description: This dataset contains numerical seismo records for 1600 synthetic acoustic impedance distributions presented in [1]. Forward modeling was performed using grid-characteristic numerical method. There are nine seismo records for each impedance distribution. The records differ in excitation pulse positions. The pulses are located equidistantly on the upper boundary of the domain. Acoustic impedance distributions are in masks/ folder. For example, the file masks/1.npy contains the distribution for the sample number 1. Seismo records are in seismograms/ folder, each file name contains distribution number and pulse location. For example, the file seismograms/1_position_10.npy contains seismo record for the impedance distribution 1 obtained with the pulse center located 10 percent from the left border of the domain. The data is in NumPy native format. Total dataset size is 6.9G after extraction. Archive md5 checksum: dc9f61333f1eef17526831e0c6d9b493 [1] Fangshu Yang and Jianwei Ma (2019). Deep-learning inversion: A next-generation seismic velocity model building method. DOI: 10.1190/geo2018-0249.1
DOI: 10.5281/zenodo.5515139
title: goosynthtest

description: goosynthtest
DOI: 10.5281/zenodo.5515138
title: goosynthtest

description: goosynthtest
DOI: 10.15468/9zhkfp
title: The odontocerid genera Psilotreta and Palaeopsilotreta (Insecta, Trichoptera) embedded in mid-Cretaceous Burmese amber

description: This dataset contains the digitized treatments in Plazi based on the original journal article WICHARD, WILFRIED, MÜLLER, PATRICK, XU, CHUN-PENG (2021): The odontocerid genera Psilotreta and Palaeopsilotreta (Insecta, Trichoptera) embedded in mid-Cretaceous Burmese amber. Palaeoentomology 4 (4): 331-338, DOI: 10.11646/palaeoentomology.4.4.8, URL: http://dx.doi.org/10.11646/palaeoentomology.4.4.8
DOI: 10.5281/zenodo.5514438
title: Surface Preparation for the Fluorosequencing

description: Raw data for publication "Studies of Surface Preparation for the Fluorosequencing of Peptides”.
DOI: 10.5281/zenodo.5514437
title: Surface Preparation for the Fluorosequencing

description: Raw data for publication "Studies of Surface Preparation for the Fluorosequencing of Peptides”.
DOI: 10.5281/zenodo.5515568
title: Multidimensional Parameter Study of Double Detonation Type Ia Supernovae Originating from Thin Helium Shell White Dwarfs

description: This dataset provides the end-state ejecta data for each of the simulations from Boos et al. 2021, along with condensed versions for use in radiative transfer calculations.
DOI: 10.5281/zenodo.5515567
title: Multidimensional Parameter Study of Double Detonation Type Ia Supernovae Originating from Thin Helium Shell White Dwarfs

description: This dataset provides the end-state ejecta data for each of the simulations from Boos et al. 2021, along with condensed versions for use in radiative transfer calculations.
DOI: 10.6084/m9.figshare.16632397
title: SPGC-COVID Dataset

description: The SPGC-COVID dataset contains <b>volumetric chest CT scans of 51 COVID-19, 28 Community Acquired Pneumonia (CAP), and 51 normal cases</b> acquired with various imaging settings from two different medical centres. The SPGC-COVID dataset consists of <b>4 subsets</b> including images with different slice thickness, radiation dose, and noise level. In addition to different technical parameters, the dataset contains CT scans of patients who have <b>heart diseases or have undergone heart surgery</b>, besides having COVID-19 or CAP infections. All CT scans are provided in the standard <b>DICOM</b> format, and the corresponding <b>patient-level labels</b> are provided in 4 separate CSV files.This dataset was used as the test set in the 2021 Signal Processing Grand Challenge (SPGC) on COVID-19 diagnosis, which the authors organized as part of the 2021 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP'21).
DOI: 10.15468/snb8ws
title: Further evidence of Cretaceous termitophily: Description of new termite hosts of the trichopseniine Cretotrichopsenius (Coleoptera: Staphylinidae), with emendations to the classification of lower termites (Isoptera)

description: This dataset contains the digitized treatments in Plazi based on the original journal article JIANG, RI-XIN, ZHANG, HONG-RUI, ELDREDGE, K. TARO, SONG, XIAO-BIN, LI, YAN-DA, TIHELKA, ERIK, HUANG, DI-YING, WANG, SHUO, ENGEL, MICHAEL S., CAI, CHEN-YANG (2021): Further evidence of Cretaceous termitophily: Description of new termite hosts of the trichopseniine Cretotrichopsenius (Coleoptera: Staphylinidae), with emendations to the classification of lower termites (Isoptera). Palaeoentomology 4 (4): 374-389, DOI: 10.11646/palaeoentomology.4.4.13, URL: http://dx.doi.org/10.11646/palaeoentomology.4.4.13
DOI: 10.5281/zenodo.5515371
title: Data

description: The data used in the paper.
DOI: 10.5281/zenodo.5515370
title: Data

description: The data used in the paper.
DOI: 10.5281/zenodo.5514314
title: Lagain_2021_NatureCommunications_training_dataset

description: This repository contains the dataset used to train the convolutional neural network presented in Lagain et al. (2021), The Tharsis mantle source of depleted shergottites revealed by 90 million impact craters.
DOI: 10.5281/zenodo.5514313
title: Lagain_2021_NatureCommunications_training_dataset

description: This repository contains the dataset used to train the convolutional neural network presented in Lagain et al. (2021), The Tharsis mantle source of depleted shergottites revealed by 90 million impact craters.
DOI: 10.5281/zenodo.5515543
title: Impacts of gut microbial depletion on tadpole thermal physiology

description: The goal of our study was to determine if depletion of gut microbiome diversity would alter host thermal tolerance in a vertebrate ectotherm. We raised laboratory-reared tadpoles of the green frog in two microbial colonization treatments: colonized and depleted. Colonized tadpoles were raised in natural pond water to provide a rich source of microbiota for colonization of the gut, and depleted tadpoles were raised in autoclaved pond water to reduce this source of microbiota. We then performed a suite of experiments to test for differences in thermal physiology between groups. In our first experiment we tested tadpole acute thermal tolerance (critical thermal minimum and maximum). We verified our results in a second set of tadpoles and then tested tadpole survival under heat stress and thermal sensitivity of locomotion performance. Lastly, we tested for differences in physiological traits at lower levels of biological organization to identify putative mechanisms behind our results including mitochondrial enzyme activities, phospholipid membrane composition, and whole-organism metabolic rate.
DOI: 10.5281/zenodo.5108941
title: Cognitive and neural state dynamics of narrative comprehension

description: Functional MRI data during temporally scrambled movie watching
description: {"references": ["Song, Park, Park, Shim (2021). Cognitive and neural state dynamics of narrative comprehension."]}
DOI: 10.5281/zenodo.5108940
title: Cognitive and neural state dynamics of narrative comprehension

description: Functional MRI data during temporally scrambled movie watching
description: {"references": ["Song, Park, Park, Shim (2021). Cognitive and neural state dynamics of narrative comprehension."]}
DOI: 10.15784/601473
title: NBP0702 surface sediment sample information and images

description: This dataset contains images and field description of Smith-McIntyre sediment grab samples from Expedition NBP0702 between the Ross Sea and the Amundsen Sea.
DOI: 10.5281/zenodo.5510378
title: Expression and Purification of DNA-binding domain of T-box Transcription Factor TBXTA-c021

description: A detailed protocol for the expression and purification of G177D variant of TBXT DNA-binding domain.
DOI: 10.5281/zenodo.5510377
title: Expression and Purification of DNA-binding domain of T-box Transcription Factor TBXTA-c021

description: A detailed protocol for the expression and purification of G177D variant of TBXT DNA-binding domain.
DOI: 10.5281/zenodo.5515635
title: Expression and Purification of Full-Length T-box Transcription Factor TBXTA-c027

description: A detailed protocol for the expression and purification of G177D variant of biotinylated, full-length TBXT
DOI: 10.5281/zenodo.5515634
title: Expression and Purification of Full-Length T-box Transcription Factor TBXTA-c027

description: A detailed protocol for the expression and purification of G177D variant of biotinylated, full-length TBXT
DOI: 10.5519/qd.gch46xox
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1042 records)
DOI: 10.5281/zenodo.5515647
title: Ideologia dos Partidos Políticos no Brasil após a redemocratização

description: Compilação do Histórico dos partidos políticos nos anos de eleição detalhando a ideologia de cada um deles. A categorização partir do trabalho de Power e Rodrigues-Silveira (2018) e Krause et al (2017) e estendida em GOMES (2021). O dataset está disponibilizado no formato ODS e CSV (UTF-8, delimitado por ponto e vírgula). Contém 5 colunas: ANO_ELEICAO: Ano da Eleição no formato de 4 dígitos NR_PARTIDO: Número do Partido registrado no TSE com 2 dígitos SG_PARTIDO: Sigla do Partido registrada no TSE NM_PARTIDO: Nome do Partido Político ativo no ano da eleição IDEOLOGIA: Índice de -1 a 1 calculado por Power e Silveira-Rodrigues (2018), sendo -1 mais a esquerda e 1 mais a direita no espectro político. CATEGORIA: ESQUERDA, CENTRO e DIREITA: Adaptado a partir da tipologia definida em Krause et al (2017)
description: {"references": ["Timothy J. Power; Rodrigo Rodrigues-Silveira, 2018, \"Replication Data for: Mapping Ideological Preferences in Brazilian Elections, 1994-2018: A Municipal-Level Study\", https://doi.org/10.7910/DVN/5P03UL, Harvard Dataverse, V3, UNF:6:L9xiraxb8z6SUSUnFBINgQ== [fileUNF]", "KRAUSE, S.; MACHADO, C.; MIGUEL L.F. Coliga\u00e7\u00f5es e Disputas Eleitorais na Nova Rep\u00fablica: Aportes te\u00f3rico-metodol\u00f3gicos, tend\u00eancias e estudos de caso. Rio de Janeiro, RJ: UNESP, 2017."]}
DOI: 10.5281/zenodo.5515646
title: Ideologia dos Partidos Políticos no Brasil após a redemocratização

description: Compilação do Histórico dos partidos políticos nos anos de eleição detalhando a ideologia de cada um deles. A categorização partir do trabalho de Power e Rodrigues-Silveira (2018) e Krause et al (2017) e estendida em GOMES (2021). O dataset está disponibilizado no formato ODS e CSV (UTF-8, delimitado por ponto e vírgula). Contém 5 colunas: ANO_ELEICAO: Ano da Eleição no formato de 4 dígitos NR_PARTIDO: Número do Partido registrado no TSE com 2 dígitos SG_PARTIDO: Sigla do Partido registrada no TSE NM_PARTIDO: Nome do Partido Político ativo no ano da eleição IDEOLOGIA: Índice de -1 a 1 calculado por Power e Silveira-Rodrigues (2018), sendo -1 mais a esquerda e 1 mais a direita no espectro político. CATEGORIA: ESQUERDA, CENTRO e DIREITA: Adaptado a partir da tipologia definida em Krause et al (2017)
description: {"references": ["Timothy J. Power; Rodrigo Rodrigues-Silveira, 2018, \"Replication Data for: Mapping Ideological Preferences in Brazilian Elections, 1994-2018: A Municipal-Level Study\", https://doi.org/10.7910/DVN/5P03UL, Harvard Dataverse, V3, UNF:6:L9xiraxb8z6SUSUnFBINgQ== [fileUNF]", "KRAUSE, S.; MACHADO, C.; MIGUEL L.F. Coliga\u00e7\u00f5es e Disputas Eleitorais na Nova Rep\u00fablica: Aportes te\u00f3rico-metodol\u00f3gicos, tend\u00eancias e estudos de caso. Rio de Janeiro, RJ: UNESP, 2017."]}
DOI: 10.6084/m9.figshare.16640461
title: Farmers perceptions Nepal_VA.xlsx

description: These results represent the answers of farmers in the midhills of Nepal after asking them to draw an scheme/map of the changes that occur in their farms as a consequence of adding 1 cow. With these results Fuzzy cognitive maps were developed to obtain futher results.
DOI: 10.6084/m9.figshare.16640461.v1
title: Compiled results_VA.xlsx

description: These results represent the answers of farmers after asking them to draw an scheme/map of the changes that occur in their farms as a consequence of adding 1 cow. With these results Fuzzy cognitive maps were developed to obtain futher results.
DOI: 10.6084/m9.figshare.16640470
title: FCMapper indices both locations_VA.xlsx

description: The results show the main indicators of the Fuzzy Cognitive Mapping approach to study farmers perceptions in the mid-hills of Nepal
DOI: 10.5281/zenodo.5515507
title: Topic model of English-language fiction, 1880-1999, with 200 topics.

description: A topic model of 29,341 volumes of fiction, written in English and published between 1880 and 1999. The underlying corpus was organized by Ted Underwood for an experiment on period and cohort effects in cultural change. Metadata is in finalcorpus.tsv (which also has rows for 10 volumes not actually included in the model). To identify volumes as fiction, we relied on the NovelTM Dataset of English-Language Fiction (https://culturalanalytics.org/article/13147-noveltm-datasets-for-english-language-fiction-1700-2009). To confirm birth years of authors and publication dates of books, we compared NovelTM metadata both to the Chicago Novel Corpus and to a copy of the US Copyright Registry, digitized by the New York Public Library (https://github.com/NYPL/catalog_of_copyright_entries_project). The corpus itself is in cohort4.txt.gz; each line represents a roughly 10,000-word "chunk" of a document. The first 15% and last 5% of pages in each volume were discarded; the remaining pages were divided into chunks of roughly equal size. Chunk id is the first token on each line; it is formed by taking a HathiTrust volume id and adding an underscore + sequential integer (chunk number). Removing the underscore and integer produces a "document id" that can be paired to the metadata. The words in the line are not presented in original order; they are taken from HathiTrust Extracted Features, which records only page-level word counts. The topic model was produced using MALLET (http://mallet.cs.umass.edu/index.php), and has 200 topics. The top words in each topic are listed in the "keys" file; document-topic proportions are listed in "doctopics." For more information on the construction of the corpus and the experiment it is designed to support, see https://github.com/tedunderwood/period-cohort and/or a permanent Zenodo object created from that repository.
DOI: 10.5281/zenodo.5515506
title: Topic model of English-language fiction, 1880-1999, with 200 topics.

description: A topic model of 29,341 volumes of fiction, written in English and published between 1880 and 1999. The underlying corpus was organized by Ted Underwood for an experiment on period and cohort effects in cultural change. Metadata is in finalcorpus.tsv (which also has rows for 10 volumes not actually included in the model). To identify volumes as fiction, we relied on the NovelTM Dataset of English-Language Fiction (https://culturalanalytics.org/article/13147-noveltm-datasets-for-english-language-fiction-1700-2009). To confirm birth years of authors and publication dates of books, we compared NovelTM metadata both to the Chicago Novel Corpus and to a copy of the US Copyright Registry, digitized by the New York Public Library (https://github.com/NYPL/catalog_of_copyright_entries_project). The corpus itself is in cohort4.txt.gz; each line represents a roughly 10,000-word "chunk" of a document. The first 15% and last 5% of pages in each volume were discarded; the remaining pages were divided into chunks of roughly equal size. Chunk id is the first token on each line; it is formed by taking a HathiTrust volume id and adding an underscore + sequential integer (chunk number). Removing the underscore and integer produces a "document id" that can be paired to the metadata. The words in the line are not presented in original order; they are taken from HathiTrust Extracted Features, which records only page-level word counts. The topic model was produced using MALLET (http://mallet.cs.umass.edu/index.php), and has 200 topics. The top words in each topic are listed in the "keys" file; document-topic proportions are listed in "doctopics." For more information on the construction of the corpus and the experiment it is designed to support, see https://github.com/tedunderwood/period-cohort and/or a permanent Zenodo object created from that repository.
DOI: 10.5517/ccdc.csd.cc24vp0q
title: CCDC 1991843: Experimental Crystal Structure Determination

description: Related Article: Hiren Nath, Pranay Sharma, Antonio Frontera, Miquel Barcelo-Oliver, Akalesh K. Verma, Jumi Das, Manjit K. Bhattacharyya|2021|J.Mol.Struct.|1248|131424|doi:10.1016/j.molstruc.2021.131424
DOI: 10.6084/m9.figshare.16640476
title: Data_Dr_Galawish.xlsx

description: The Data represent the diagnosis of subjects before and after covid-19 pandemic during certain months