cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2cpxww
title: CCDC 2195819: Experimental Crystal Structure Determination

description: Related Article: Chuan-Wen Lei, Xi-Yu Wang, Bo-Shuai Mu, Jin-Sheng Yu, Ying Zhou, Jian Zhou|2022|Org.Lett.|24|8364|doi:10.1021/acs.orglett.2c03393
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2d0k44
title: CCDC 2205065: Experimental Crystal Structure Determination

description: Related Article: Xingyu Li, Jiaqi Liu, Kang Zhou, Saif Ullah, Hao Wang, Jizhao Zou, Timo Thonhauser, Jing Li|2022|J.Am.Chem.Soc.|144|21702|doi:10.1021/jacs.2c09487
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.13140/rg.2.2.28485.52967
title: FVCNDVI
DOI: 10.6084/m9.figshare.21664160.v1
title: Pollen deposition by brown honeyeater (Lichmera indistincta) in Australian blueberry orchards - dataset

description: Pollen deposition data after a single visit by brown honeyeater to blueberry flowers.
DOI: 10.6084/m9.figshare.21510009
title: Protoarray-ATS_110525

description: <em>ProtoArray® screening.</em> The initial screening was performed using ProtoArray® Human Protein Microarrays v.4.0 (Thermo Fisher Scientific, Waltham, MA, USA), which are loaded with 9480 proteins, as described previously (1). A total of 20 serum samples (10 each from HDs and patients with atherosclerosis) were used to select antigenic proteins specifically recognized by serum immunoglobin G (IgG) antibodies. The results were analyzed using Prospector (Thermo Fisher Scientific) software based on M-statistics. When comparing the two groups, a positive cutoff value was calculated for each protein using M-statistics. The percentage of the samples in each group that showed an immune response above the cutoff value was determined and the P-value for the significance of the difference between the two groups was calculated, as previously described (2). Ref. 1. Hamanaka S, Nakagawa T, Hiwasa T, Ohta Y, Kasamatsu S, Ishigami H, Taida T, Okimoto K, Saito K, Maruoka D, et al.: Investigation of novel biomarkers for predicting the clinical course in patients with ulcerative colitis. J Gastroenterol Hepatol 33: 1975-1983, 2018. doi: 10.1111/jgh.14297. PMID:29869393 <br> Ref. 2. Vermeulen N, de Béeck KO, Vermeire S, Van Steen K, Michiels G, Ballet V, Rutgeerts P and Bossuyt X: Identification of a novel autoantigen in inflammatory bowel disease by protein microarray. Inflamm Bowel Dis 17: 1291-1300, 2011. doi: 10.1002/ibd.21508. PMID:21560193
DOI: 10.6084/m9.figshare.21510009.v3
title: Protoarray-ATS_110525

description: <em>ProtoArray® screening.</em> The initial screening was performed using ProtoArray® Human Protein Microarrays v.4.0 (Thermo Fisher Scientific, Waltham, MA, USA), which are loaded with 9480 proteins, as described previously (1). A total of 20 serum samples (10 each from HDs and patients with atherosclerosis) were used to select antigenic proteins specifically recognized by serum immunoglobin G (IgG) antibodies. The results were analyzed using Prospector (Thermo Fisher Scientific) software based on M-statistics. When comparing the two groups, a positive cutoff value was calculated for each protein using M-statistics. The percentage of the samples in each group that showed an immune response above the cutoff value was determined and the P-value for the significance of the difference between the two groups was calculated, as previously described (2). Ref. 1. Hamanaka S, Nakagawa T, Hiwasa T, Ohta Y, Kasamatsu S, Ishigami H, Taida T, Okimoto K, Saito K, Maruoka D, et al.: Investigation of novel biomarkers for predicting the clinical course in patients with ulcerative colitis. J Gastroenterol Hepatol 33: 1975-1983, 2018. doi: 10.1111/jgh.14297. PMID:29869393 <br> Ref. 2. Vermeulen N, de Béeck KO, Vermeire S, Van Steen K, Michiels G, Ballet V, Rutgeerts P and Bossuyt X: Identification of a novel autoantigen in inflammatory bowel disease by protein microarray. Inflamm Bowel Dis 17: 1291-1300, 2011. doi: 10.1002/ibd.21508. PMID:21560193
DOI: 10.23729/dca63af1-3bad-4664-9eb4-b5124c5b1a11
title: Corpus of North American Spoken English_v1.1

description: The Corpus of North American Spoken English (CoNASE) is a 1.29-billion-word corpus of geolocated automatic speech recognition (ASR) YouTube transcripts from the United States and Canada, created for the study of lexical, grammatical, and discourse-pragmatic phenomena of spoken language, including their geographical distribution, in North American English. The size of the corpus allows rare phenomena to be considered, and because the annotation includes the video IDs of transcripts, search hits can be manually inspected and video or audio data can be accessed. As the starting point of a scripting pipeline, the corpus can also be used for large-scale acoustic analyses of North American speech. The corpus was created from 301,847 ASR transcripts from 2,572 YouTube channels, corresponding to 154,041 hours of video. The size of the corpus is 1,294,885,016 word tokens. The channels sampled in the corpus are associated with local government entities such as town, city, or county boards and councils, school or utility districts, regional authorities such as provincial or territorial governments, or other governmental organizations. The transcripts are primarily of recordings of public meetings, although other genres are also present. Video transcripts have been assigned exact latitude-longitude coordinates using a geocoding script. The untagged corpus is contained in the file conase_distributable.csv.gz. The PoS-tagged corpus with word timings is conase_pos_distributable.csv.gz. The separator for both files is the pipe character "|". The files contain the columns 'country', 'state', 'channel_title', 'video_title', 'video_id', 'name', 'type', 'channel_id', 'channel_username', 'video_length', 'location', 'address', 'nr_words', 'text_pos' (or 'text', in the untagged version), and 'latlong'. Each row corresponds to an individual transcript. In order to comply with Fair Use provisions of US copyright law, the original ASR transcript files from YouTube have been transformed in this version of the corpus: Every 200 words, ten words have been replaced with "@". In the PoS-tagged and word-timed corpus, these tokens have the form @_XX_1.0. See also https://cc.oulu.fi/~scoats/CoNASE.html
DOI: 10.6084/m9.figshare.21666170.v1
title: Diversity analysis of Artemisia afra L. (wormwood) accessions using diversity arrays technology and foliar mineral content attributes

description: The objectives of this study were to evaluate and characterized A. afra accessions using Diversity Arrays Technology and foliar plant minerals concentration. A total of 80 samples were collected from the localities of Roma and Mohale’s Hoek in Lesotho and Wepener and Hobhouse in the Free State province of South Africa. A dendrogram was used to classify accessions into 3 clusters, which were further divided into 7 subclusters. The heights and clades were dissimilar and ranged from 53.1 to 100 bp. A principal component analysis supported the results from an unweighted pair group method with arithmetic mean analysis by classifying eigenvalues into 3 groups. Most acces-sions were grouped together regardless of their origin. Moreover, a minimum spanning network analysis showed close relationships for most accessions, even though they were classified in differ-ent groups. Among the populations of A. afra, heterozygosity was due to the complete segregation of genes. Substantial variation among genotypes was uncovered by an analysis of variance con-ducted on foliar minerals. Foliar nitrogen, potassium, calcium, magnesium, and manganese were significantly affected by collection location. However, A. afra obtained in locales Roma and Mohale’s Hoek, were genetically diverse and differed in foliar mineral contents.
DOI: 10.34740/kaggle/dsv/4637178
title: 2021 World Population (updated daily)
DOI: 10.6084/m9.figshare.21666170
title: Diversity analysis of Artemisia afra L. (wormwood) accessions using diversity arrays technology and foliar mineral content attributes

description: The objectives of this study were to evaluate and characterized A. afra accessions using Diversity Arrays Technology and foliar plant minerals concentration. A total of 80 samples were collected from the localities of Roma and Mohale’s Hoek in Lesotho and Wepener and Hobhouse in the Free State province of South Africa. A dendrogram was used to classify accessions into 3 clusters, which were further divided into 7 subclusters. The heights and clades were dissimilar and ranged from 53.1 to 100 bp. A principal component analysis supported the results from an unweighted pair group method with arithmetic mean analysis by classifying eigenvalues into 3 groups. Most acces-sions were grouped together regardless of their origin. Moreover, a minimum spanning network analysis showed close relationships for most accessions, even though they were classified in differ-ent groups. Among the populations of A. afra, heterozygosity was due to the complete segregation of genes. Substantial variation among genotypes was uncovered by an analysis of variance con-ducted on foliar minerals. Foliar nitrogen, potassium, calcium, magnesium, and manganese were significantly affected by collection location. However, A. afra obtained in locales Roma and Mohale’s Hoek, were genetically diverse and differed in foliar mineral contents.
DOI: 10.6084/m9.figshare.21666170.v2
title: Diversity analysis of Artemisia afra L. (wormwood) accessions using diversity arrays technology and foliar mineral content attributes

description: The objectives of this study were to evaluate and characterized A. afra accessions using Diversity Arrays Technology and foliar plant minerals concentration. A total of 80 samples were collected from the localities of Roma and Mohale’s Hoek in Lesotho and Wepener and Hobhouse in the Free State province of South Africa. A dendrogram was used to classify accessions into 3 clusters, which were further divided into 7 subclusters. The heights and clades were dissimilar and ranged from 53.1 to 100 bp. A principal component analysis supported the results from an unweighted pair group method with arithmetic mean analysis by classifying eigenvalues into 3 groups. Most acces-sions were grouped together regardless of their origin. Moreover, a minimum spanning network analysis showed close relationships for most accessions, even though they were classified in differ-ent groups. Among the populations of A. afra, heterozygosity was due to the complete segregation of genes. Substantial variation among genotypes was uncovered by an analysis of variance con-ducted on foliar minerals. Foliar nitrogen, potassium, calcium, magnesium, and manganese were significantly affected by collection location. However, A. afra obtained in locales Roma and Mohale’s Hoek, were genetically diverse and differed in foliar mineral contents.
DOI: 10.6084/m9.figshare.19984580
title: Data for: Coercion promotes alloparental care in cooperative breeders

description: Members of social groups may negotiate among each other about the exchange of goods and services. If this involves asymmetries between interacting partners, for instance in condition, power or expected payoffs, coercion may be involved in the bargain. Cooperative breeders are excellent models to study such interactions, because asymmetries are inherent in the relationship between dominant breeders and subordinate helpers. Currently it is unclear whether punishment is used to enforce costly cooperation in such systems. Here we investigated experimentally in the cooperatively breeding cichlid <em>Neolamprologus pulcher</em> whether alloparental brood care provided by subordinates is contingent on enforcement by dominant breeders<em>.</em> We manipulated first the brood care behaviour of a subordinate group member and then the possibility of the dominant breeders to punish idle helpers. When subordinates abstained from brood care, breeders increased their attacks on them, which triggered increased alloparental brood car by helpers as soon as this was again possible. In contrast, when the possibility to punish helpers was prevented, energetically costly alloparental brood care did not increase. Our results confirm predictions of the pay-to-stay mechanism causing alloparental care in this species and they suggest more generally that coercion can play an important role in the control of cooperation.
DOI: 10.17043/schytt-mannerfelt-2022-marma-dem-1
title: Digital elevation models for Mårmaglaciären and Mårmapakteglaciären, northern Sweden, 1959⁠ – ⁠2021
DOI: 10.17043/schytt-mannerfelt-2022-marma-geodetic-1
title: Geodetic mass balance data for Mårmaglaciären, northern Sweden, 1959⁠ – ⁠2021
DOI: 10.17043/schytt-mannerfelt-2022-marma-outlines-1
title: Glacier outlines for Mårmaglaciären and Mårmapakteglaciären, northern Sweden, 1959⁠ – ⁠2021
DOI: 10.25405/data.ncl.21617889
title: Supporting Data for "Ruthenium-Rhenium and Ruthenium-Palladium Supramolecular Photocatalysts for Photoelectrocatalytic CO2 and H+ Reduction"

description: Supporting Data for the manuscript "Ruthenium-Rhenium and Ruthenium-Palladium Supramolecular Photocatalysts for Photoelectrocatalytic CO2 and H+ Reduction" <br> Datasets are curated within a readme file.
DOI: 10.25405/data.ncl.21617889.v1
title: Supporting Data for "Ruthenium-Rhenium and Ruthenium-Palladium Supramolecular Photocatalysts for Photoelectrocatalytic CO2 and H+ Reduction"

description: Supporting Data for the manuscript "Ruthenium-Rhenium and Ruthenium-Palladium Supramolecular Photocatalysts for Photoelectrocatalytic CO2 and H+ Reduction" <br> Datasets are curated within a readme file.
DOI: 10.6084/m9.figshare.21666704
title: Protein Array-ATS_110526.xls

description: <em>ProtoArray® screening.</em> The initial screening was performed using ProtoArray® Human Protein Microarrays v.4.0 (Thermo Fisher Scientific, Waltham, MA, USA), which are loaded with 9480 proteins, as described previously (1). A total of 20 serum samples (10 each from HDs and patients with atherosclerosis) were used to select antigenic proteins specifically recognized by serum immunoglobin G (IgG) antibodies. The results were analyzed using Prospector (Thermo Fisher Scientific) software based on M-statistics. When comparing the two groups, a positive cutoff value was calculated for each protein using M-statistics. The percentage of the samples in each group that showed an immune response above the cutoff value was determined and the P-value for the significance of the difference between the two groups was calculated, as previously described (2). Ref. 1. Hamanaka S, Nakagawa T, Hiwasa T, Ohta Y, Kasamatsu S, Ishigami H, Taida T, Okimoto K, Saito K, Maruoka D, et al.: Investigation of novel biomarkers for predicting the clinical course in patients with ulcerative colitis. J Gastroenterol Hepatol 33: 1975-1983, 2018. doi: 10.1111/jgh.14297. PMID:29869393 Ref. 2. Vermeulen N, de Béeck KO, Vermeire S, Van Steen K, Michiels G, Ballet V, Rutgeerts P and Bossuyt X: Identification of a novel autoantigen in inflammatory bowel disease by protein microarray. Inflamm Bowel Dis 17: 1291-1300, 2011. doi: 10.1002/ibd.21508. PMID:21560193
DOI: 10.6084/m9.figshare.21666704.v1
title: Protein Array-ATS_110526.xls

description: <em>ProtoArray® screening.</em> The initial screening was performed using ProtoArray® Human Protein Microarrays v.4.0 (Thermo Fisher Scientific, Waltham, MA, USA), which are loaded with 9480 proteins, as described previously (1). A total of 20 serum samples (10 each from HDs and patients with atherosclerosis) were used to select antigenic proteins specifically recognized by serum immunoglobin G (IgG) antibodies. The results were analyzed using Prospector (Thermo Fisher Scientific) software based on M-statistics. When comparing the two groups, a positive cutoff value was calculated for each protein using M-statistics. The percentage of the samples in each group that showed an immune response above the cutoff value was determined and the P-value for the significance of the difference between the two groups was calculated, as previously described (2). Ref. 1. Hamanaka S, Nakagawa T, Hiwasa T, Ohta Y, Kasamatsu S, Ishigami H, Taida T, Okimoto K, Saito K, Maruoka D, et al.: Investigation of novel biomarkers for predicting the clinical course in patients with ulcerative colitis. J Gastroenterol Hepatol 33: 1975-1983, 2018. doi: 10.1111/jgh.14297. PMID:29869393 Ref. 2. Vermeulen N, de Béeck KO, Vermeire S, Van Steen K, Michiels G, Ballet V, Rutgeerts P and Bossuyt X: Identification of a novel autoantigen in inflammatory bowel disease by protein microarray. Inflamm Bowel Dis 17: 1291-1300, 2011. doi: 10.1002/ibd.21508. PMID:21560193
DOI: 10.21223/xmnjql/s5gny6
title: 02_Dictionary_Scaling_AKILIMO_yield_data.tab

description: :unav
DOI: 10.21223/xmnjql/ue8m74
title: 01_Scaling_AKILIMO_yield_data.tab

description: :unav
DOI: 10.21223/xmnjql
title: Dataset for: Validation trials to validate AKILIMO recommendations in Rwanda

description: A set of 260 validation trials was conducted from the season 2021B onwards to compare AKILIMO recommendations with the blanket fertilizer recommendations in Rwanda
DOI: 10.5281/zenodo.7390143
title: NuSTAR sample

description: NuSTAR sample of Type - I and Type - II objects
DOI: 10.5281/zenodo.7390144
title: NuSTAR sample

description: NuSTAR sample of Type - I and Type - II objects
DOI: 10.5281/zenodo.7390156
title: NuSTAR sample

description: NuSTAR sample of Type - I and Type - II objects
DOI: 10.34740/kaggle/dsv/4637255
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.24341/tethys.191
title: Geological subsurface model of the Austrian Molasse Basin
title: Geologisches Untergrundmodell des Molassebeckens in Österreich

description: The Molasse Basin in the northern foreland of the Alps covers Lower- and Upper Austria as well as Salzburg between the outline of the Bohemian Massif in the north and the Alpine frontal thrust in the south. However, sediments of the Molasse Basin reach far towards south beneath the Alpine Orogen. Increasing usage requirements in the Molasse Basin regarding mining, geothermal energy and storage of CO2 and natural gas have been the main driving force for creating a geological subsurface model of the respective area. The model can therefore form the basis for a common subsurface management framework in order to prevent possible conflicts over resources. The published subsurface model includes nine stratigraphic units of the Autochthonous Molasse, the Crystalline Basement of the Bohemian Massif with overlying, Paleozoic sediments as well as a model unit combing the Allochthonous Molasse, the Flysch Zone and the Helvetic superunit. The whole model covers an area of about 12,250 km² and reaches to a depth of -8,000 m below sealevel.
description: Das Molassebecken im nördlichen Alpenvorland in Nieder- und Oberösterreich sowie in Salzburg, erstreckt sich an der Erdoberfläche von der Böhmischen Masse im Norden bis zur Alpenüberschiebungsfront im Süden. Im Untergrund reichen die Molassesedimente jedoch noch deutlich weiter nach Süden bis unter das alpine Orogen. Steigende Nutzungsanforderungen an das Molassebecken in den Bereichen Bergbau, Geothermie, Thermalwasser sowie Speicherung von Erdgas und CO2 waren ausschlaggebend dafür, ein geologisches Untergrundmodell dieses Gebiets zu erstellen. Dieses Modell soll als Grundlage für ein gemeinsames Untergrundmanagement dienen, um regionalen Ressourcenkonflikten vorzubeugen. Das hier vorliegende Untergrundmodell besteht aus den neun stratigrafischen Haupteinheiten der autochthonen Molasse, dem Kristallin der Böhmischen Masse mit paläozoischer Sedimentbedeckung sowie einem Modellkörper, welcher die allochthone Molasse, die Flyschzone und das Helvetikum umfasst. Das gesamte Modell besitzt eine laterale Ausdehnung von ca. 12.250 km² und reicht bis in eine Tiefe von -8.000 m unter Meeresspiegel.
description: The model was created using the SKUA-GOCAD™ software suite by combining all published, geological information on the subsurface (geological maps, cross-sections, contour maps and geophysical data). Subsequently, relevant data of the investigation area were digitized and combined into a common 3D modelling environment, where they acted as data points for creating interpolated, geological surfaces using automatical and manual approaches. The modelled geological layers were exported as .DXF files from SKUA-GOCAD™. For more information about the underlying data please see the data description document.
DOI: 10.15129/2bbb73d2-5b86-48e2-9f54-4f62480a4ab8
title: Data for: "Exploration of dual ionic cross-linked alginate hydrogels via cations of varying valences towards wound healing"

description: Dataset to support publication DOI: 10.3390/polym14235192. Including data on rheology, scanning electron microscopy measurements, bacterial zone of inhibition, inductively coupled plasma-optical emissions spectroscopy, hydration studies and thermogravic analysis
DOI: 10.5517/ccdc.csd.cc1l9rj5
title: CCDC 1469137: Experimental Crystal Structure Determination

description: Related Article: Thangavel Thirunavukkarasu, Eswaran Ramachandran, Karuppannan Natarajan, Hazel A. Sparkes, Saud I. Al-Resayes, Mohammad Azam|2023|Polyhedron|230|116207|doi:10.1016/j.poly.2022.116207
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2bn6rz
title: CCDC 2164381: Experimental Crystal Structure Determination

description: Related Article: Katarzyna Fedoruk, Dawid Drozdowski, Mirosaw Maczka, Jan K. Zareba, Dagmara Stefańska, Anna Gagor, Adam Sieradzki|2022|Inorg.Chem.|61|15520|doi:10.1021/acs.inorgchem.2c02206
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2bn6t1
title: CCDC 2164383: Experimental Crystal Structure Determination

description: Related Article: Katarzyna Fedoruk, Dawid Drozdowski, Mirosaw Maczka, Jan K. Zareba, Dagmara Stefańska, Anna Gagor, Adam Sieradzki|2022|Inorg.Chem.|61|15520|doi:10.1021/acs.inorgchem.2c02206
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5281/zenodo.7389492
title: Corpus PILOTE VAGO

description: Corpus of 120 french articles for testing VAGO
DOI: 10.5281/zenodo.7389491
title: Corpus PILOTE VAGO

description: Corpus of 120 french articles for testing VAGO