cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.23715738
title: Contribution of Fatigue to Cognitive Dysfunction in Childhood Acute Lymphoblastic Leukemia Survivors

description: Late effects such as neurocognitive issues and fatigue have been reported in childhood acute lymphoblastic leukemia (cALL) survivors. Yet, their association is often poorly understood. In this study, we wished to (1) describe neurocognitive difficulties and fatigue in a well-characterized cohort of long-term cALL survivors and (2) explore the risk of having neurocognitive deficits as a function of fatigue. Childhood ALL survivors (<i>N</i> = 285) from three Canadian treatment centers completed the DIVERGT battery of cognitive tests and the PedsQL Multidimensional Fatigue Scale. We performed logistic regressions to assess the risk of a survivor to show cognitive deficits (&lt;2.0 SD) depending on their fatigue levels. At least one cognitive deficit on the DIVERGT was present in 31% of participants. Domains primarily affected were working memory, fine motor skills, and verbal fluency. Sleep/rest fatigue in youths was higher than norms (<i>d</i> = 0.35). The risk for cognitive deficits increased independently with levels of fatigue in the domains of cognitive speed and flexibility, working memory, and verbal fluency. For every 10-point increase on general or sleep/rest fatigue on the 0-100 scale, there was a median +23–35% risk of showing a deficit among the 7 tasks significantly associated with fatigue. Fatigue may constitute a complementary target when searching to mitigate cognitive issues in this population.
DOI: 10.6084/m9.figshare.23606685
title: ALIGNN for OCP

description: ALIGNN models for open catalyst project dataset https://pages.nist.gov/jarvis_leaderboard/ https://arxiv.org/abs/2306.11688
DOI: 10.6084/m9.figshare.23606685.v1
title: ALIGNN for OCP

description: ALIGNN models for open catalyst project dataset https://pages.nist.gov/jarvis_leaderboard/ https://arxiv.org/abs/2306.11688
DOI: 10.3886/e193247
title: The Census Tree, 1880-1940

description: The Census Tree is the largest-ever database of record links among the historical U.S. censuses, with over 700 million links for people living in the United States between 1850 and 1940. These links allow researchers to construct a longitudinal dataset that is highly representative of the population, and that includes women, Black Americans, and other under-represented populations at unprecedented rates. Each .csv file consists of a crosswalk between the two years indicated in the filename, using the IPUMS histids. For more information, consult the included Read Me file, and visit https://censustree.org.<br>
description: See https://censustree.org for more information.<br>
DOI: 10.3886/e193247v1
title: The Census Tree, 1880-1940

description: The Census Tree is the largest-ever database of record links among the historical U.S. censuses, with over 700 million links for people living in the United States between 1850 and 1940. These links allow researchers to construct a longitudinal dataset that is highly representative of the population, and that includes women, Black Americans, and other under-represented populations at unprecedented rates. Each .csv file consists of a crosswalk between the two years indicated in the filename, using the IPUMS histids. For more information, consult the included Read Me file, and visit https://censustree.org.<br>
description: See https://censustree.org for more information.<br>
DOI: 10.3886/e193246
title: The Census Tree, 1870-1880

description: The Census Tree is the largest-ever database of record links among the historical U.S. censuses, with over 700 million links for people living in the United States between 1850 and 1940. These links allow researchers to construct a longitudinal dataset that is highly representative of the population, and that includes women, Black Americans, and other under-represented populations at unprecedented rates. Each .csv file consists of a crosswalk between the two years indicated in the filename, using the IPUMS histids. For more information, consult the included Read Me file, and visit https://censustree.org.<br>
description: See https://censustree.org for more information.<br>
DOI: 10.3886/e193246v1
title: The Census Tree, 1870-1880

description: The Census Tree is the largest-ever database of record links among the historical U.S. censuses, with over 700 million links for people living in the United States between 1850 and 1940. These links allow researchers to construct a longitudinal dataset that is highly representative of the population, and that includes women, Black Americans, and other under-represented populations at unprecedented rates. Each .csv file consists of a crosswalk between the two years indicated in the filename, using the IPUMS histids. For more information, consult the included Read Me file, and visit https://censustree.org.<br>
description: See https://censustree.org for more information.<br>
DOI: 10.57841/casdc.0001802
title: 环烷酸铋与金属减活剂在润滑脂中的协同作用研究
DOI: 10.25952/spgb-5a73
title: Co-Creation of New Knowledge

description: <p>The files contained in the zip folder relates to raw data collected for the content analysis of papers using co-creation-related terminology. Each file has been labelled using a year/month/date/filename format and includes both excel (.xls) and word (.doc) documents. </p>

<p><strong>Dataset 1</strong>:The files range from results of academic searches and analysis of those records using NVIVO and excel, coding sheets by blind reviewers, development of tables and figures to help define the co-creation of new knowledge framework and Prisma flow chart to demonstrate the process of screening of records. This data was used as evidence to formulate a proposed definition of co-creation of new knowledge. </p>

<p><strong>Dataset 2</strong>: This data set represents raw data for a systematic review on multi-sectoral collaborations in the field of mental health and suicide prevention. The data set contains files relating to the screening of full-text records, quality assessment of included records and a development log of tables and figures used in the analysis of the data.</p>

<p><strong>Dataset 3</strong>: This data set represents  research materials relating to the analysis of qualitative data for an analysis of social policy. The data set contains audio recordings and tables.</p>

<p><strong>Dataset 4</strong>: This data set represents research materials relating to the analysis of qualitative data for an applied case study. The data set contains audio recordings, transcripts, coding frameworks and tables.</p>
description: <p>The files contained in the zip folder relates to raw data collected for the content analysis of papers using co-creation-related terminology. Each file has been labelled using a year/month/date/filename format and includes both excel (.xls) and word (.doc) documents. </p>

<p><strong>Dataset 1</strong>:The files range from results of academic searches and analysis of those records using NVIVO and excel, coding sheets by blind reviewers, development of tables and figures to help define the co-creation of new knowledge framework and Prisma flow chart to demonstrate the process of screening of records. This data was used as evidence to formulate a proposed definition of co-creation of new knowledge. </p>

<p><strong>Dataset 2</strong>: This data set represents raw data for a systematic review on multi-sectoral collaborations in the field of mental health and suicide prevention. The data set contains files relating to the screening of full-text records, quality assessment of included records and a development log of tables and figures used in the analysis of the data.</p>

<p><strong>Dataset 3</strong>: This data set represents  research materials relating to the analysis of qualitative data for an analysis of social policy. The data set contains audio recordings and tables.</p>

<p><strong>Dataset 4</strong>: This data set represents research materials relating to the analysis of qualitative data for an applied case study. The data set contains audio recordings, transcripts, coding frameworks and tables.</p>
DOI: 10.25340/r4/xpiz6o
title: Related Data for: Academic resilience and test anxiety: The moderating role of achievement goals

description: The present study examined the associations of academic resilience and achievement goals with test anxiety, and the moderating role of achievement goals in the relation between academic resilience and test anxiety among 1632 secondary one students from eight secondary schools in Singapore. Results showed that students who reported lower levels of academic resilience also reported higher levels of cognitive test anxiety, and those who reported higher levels of avoidance-goal endorsement reported higher levels of cognitive test anxiety. Importantly, the relationship between academic resilience and test anxiety was moderated by avoidance-based goals endorsement level. Specifically, this relationship was stronger for those who endorsed higher levels of avoidance-based goals. Approach-based achievement goals did not significantly interact with academic resilience to influence test anxiety. Implications of the findings are discussed.
DOI: 10.5517/ccdc.csd.cc2d4lfl
title: CCDC 2208949: Experimental Crystal Structure Determination

description: Related Article: Andrea Palone, Guillem Casadevall, Sergi Ruiz-Barragan, Arnau Call, Sílvia Osuna, Massimo Bietti, Miquel Costas|2023|J.Am.Chem.Soc.|145|15742|doi:10.1021/jacs.2c10148
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.cc2d4pv3
title: CCDC 2209055: Experimental Crystal Structure Determination

description: Related Article: Andrea Palone, Guillem Casadevall, Sergi Ruiz-Barragan, Arnau Call, Sílvia Osuna, Massimo Bietti, Miquel Costas|2023|J.Am.Chem.Soc.|145|15742|doi:10.1021/jacs.2c10148
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: 10.6084/m9.figshare.23695695.v1
title: ALIGNN-FF models

description: https://pubs.rsc.org/en/content/articlehtml/2023/dd/d2dd00096b
DOI: 10.25919/nc2m-p778
title: Parkes observations for project P574 semester 2023APRS_07

description: We request time to observe 260 pulsars on a regular basis in order to provide the accurate ephemerides necessary for the detection and characterisation of gamma-ray pulsars with the Fermi satellite. The main science goals are to increase the number of known gamma-ray pulsars (both radio loud and radio quiet), to determine accurate pulse profiles, and to characterise their high energy (phase-resolved) spectra. In the radio, the observations will also allow us to investigate: neutron stars and pulsar emission via detecting glitches and determining pulse timing parameters; and the ISM via measuring and monitoring dispersion measures, Faraday rotation measures, and scintillation. To date, we are (co-)authors on over 95 papers arising from the collaboration and P574 data, including four which use UWL observations. The data have contributed to the PhD theses of students from Bordeaux, Manchester, Oxford, Stanford, and Swinburne.
DOI: 10.3886/e193248
title: The Census Tree, 1880-1930

description: The Census Tree is the largest-ever database of record links among the historical U.S. censuses, with over 700 million links for people living in the United States between 1850 and 1940. These links allow researchers to construct a longitudinal dataset that is highly representative of the population, and that includes women, Black Americans, and other under-represented populations at unprecedented rates. Each .csv file consists of a crosswalk between the two years indicated in the filename, using the IPUMS histids. For more information, consult the included Read Me file, and visit https://censustree.org.<br>
description: See https://censustree.org for more information.<br>
DOI: 10.3886/e193248v1
title: The Census Tree, 1880-1930

description: The Census Tree is the largest-ever database of record links among the historical U.S. censuses, with over 700 million links for people living in the United States between 1850 and 1940. These links allow researchers to construct a longitudinal dataset that is highly representative of the population, and that includes women, Black Americans, and other under-represented populations at unprecedented rates. Each .csv file consists of a crosswalk between the two years indicated in the filename, using the IPUMS histids. For more information, consult the included Read Me file, and visit https://censustree.org.<br>
description: See https://censustree.org for more information.<br>
DOI: 10.57841/casdc.0001803
title: V2AlC MAX相涂层的宽温域摩擦学性能研究
DOI: 10.5281/zenodo.8222854
title: Benchmark for Pairs of Papers in Semantic Scholar: 1 hop vs. 2-4 hops version 0.0

description: <strong>Benchmark for Pairs of Papers in Semantic Scholar: 1 hop vs. 2-4 hops (version 0.0)</strong> There are two files: valid.txt and test.txt; both files use the same format. Columns 2 and 3 are corpus ids from Semantic Scholar. Column 1 is the distance between the two papers in the citation index. Columns 4 and 5 are the bins of the two paper, respectively. The bin is a number between 0 and 100. Papers are sorted by publication date. There are about 2M papers per bin, with the oldest papers in bin 0, and the newest papers in bin 99. Bin 100 is a catch-all for papers with unknown publication dates. head valid.txt 1 248518397 1041744 97 51 2 248518397 23848439 97 21 3 248518397 4235810 97 12 4 248518397 82079949 97 11 1 3374228 140728989 79 0 1 68334187 36144275 58 34 2 68334187 7008060 58 4 1 205881482 94036919 77 72 2 205881482 95069173 77 53 3 205881482 53480264 77 52 Each row is assigned to a bin, B, where B = max(col4, col5). <strong>Task</strong>: the task is to distinguish pairs of papers with distance == 1 from pairs of papers with distance &gt; 1. <strong>Test/Train splits</strong>: For all thresholds, 0 &lt;= T_{train} &lt;= 99, train a model on rows in bins between 0 and T_{train} (inclusively). Test these models on rows in all bins 0 &lt;= T_{test} &lt;= 99. Report average accuracy for all combinations of T_{train} and T_{test}. Average Accuracy is defined as: mean(Predict(row) == 1, Gold(row) == 1) The means are computed over rows in a test bin.
description: Used in JSALT-2023; see https://github.com/kwchurch/JSALT_Better_Together
DOI: 10.5281/zenodo.8222853
title: Benchmark for Pairs of Papers in Semantic Scholar: 1 hop vs. 2-4 hops version 0.0

description: <strong>Benchmark for Pairs of Papers in Semantic Scholar: 1 hop vs. 2-4 hops (version 0.0)</strong> There are two files: valid.txt and test.txt; both files use the same format. Columns 2 and 3 are corpus ids from Semantic Scholar. Column 1 is the distance between the two papers in the citation index. Columns 4 and 5 are the bins of the two paper, respectively. The bin is a number between 0 and 100. Papers are sorted by publication date. There are about 2M papers per bin, with the oldest papers in bin 0, and the newest papers in bin 99. Bin 100 is a catch-all for papers with unknown publication dates. head valid.txt 1 248518397 1041744 97 51 2 248518397 23848439 97 21 3 248518397 4235810 97 12 4 248518397 82079949 97 11 1 3374228 140728989 79 0 1 68334187 36144275 58 34 2 68334187 7008060 58 4 1 205881482 94036919 77 72 2 205881482 95069173 77 53 3 205881482 53480264 77 52 Each row is assigned to a bin, B, where B = max(col4, col5). <strong>Task</strong>: the task is to distinguish pairs of papers with distance == 1 from pairs of papers with distance &gt; 1. <strong>Test/Train splits</strong>: For all thresholds, 0 &lt;= T_{train} &lt;= 99, train a model on rows in bins between 0 and T_{train} (inclusively). Test these models on rows in all bins 0 &lt;= T_{test} &lt;= 99. Report average accuracy for all combinations of T_{train} and T_{test}. Average Accuracy is defined as: mean(Predict(row) == 1, Gold(row) == 1) The means are computed over rows in a test bin.
description: Used in JSALT-2023; see https://github.com/kwchurch/JSALT_Better_Together
DOI: 10.14457/nida.the.2021.68
title: The direct and indirect influence of transformational leadership, perceived organizational support, and perceived organizational support, and perceived organizational culture on public service innovation outcomes: a study of the innovation teams in field administration of Bangladesh
DOI: 10.14457/nida.the.2021.69
title: Cashless society from cash-based economy to cashless economy in Thailand
DOI: 10.14457/nida.the.2021.70
title: Factors influencing level of trust in the Russian state mainstream media news : case of Moscow undergraduate students
DOI: 10.14457/nida.the.2021.71
title: An exploration of organization development framework of social enterprise in Thailand
DOI: 10.14457/nida.the.2021.72
title: E-government and public service transformation towards a new civil service architecture of Nepal
DOI: 10.3886/e193249
title: The Census Tree, 1880-1920

description: The Census Tree is the largest-ever database of record links among the historical U.S. censuses, with over 700 million links for people living in the United States between 1850 and 1940. These links allow researchers to construct a longitudinal dataset that is highly representative of the population, and that includes women, Black Americans, and other under-represented populations at unprecedented rates. Each .csv file consists of a crosswalk between the two years indicated in the filename, using the IPUMS histids. For more information, consult the included Read Me file, and visit https://censustree.org.<br>
description: See https://censustree.org for more information.<br>
DOI: 10.3886/e193249v1
title: The Census Tree, 1880-1920

description: The Census Tree is the largest-ever database of record links among the historical U.S. censuses, with over 700 million links for people living in the United States between 1850 and 1940. These links allow researchers to construct a longitudinal dataset that is highly representative of the population, and that includes women, Black Americans, and other under-represented populations at unprecedented rates. Each .csv file consists of a crosswalk between the two years indicated in the filename, using the IPUMS histids. For more information, consult the included Read Me file, and visit https://censustree.org.<br>
description: See https://censustree.org for more information.<br>
DOI: 10.5517/ccdc.csd.cc2f9wyl
title: CCDC 2243840: Experimental Crystal Structure Determination

description: Related Article: Chiyi Wang, Zihan Li, Shuyang Zhou, Jinqiu Fu, Jingjing Zhao, Yihang Hou, Yuzhong Shi, Wei Zhuang, Hanjie Ying, Pengpeng Yang, Keke Zhang|2023|Cryst.Growth Des.|23|5509|doi:10.1021/acs.cgd.3c00150
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.cc2f9x0p
title: CCDC 2243842: Experimental Crystal Structure Determination

description: Related Article: Chiyi Wang, Zihan Li, Shuyang Zhou, Jinqiu Fu, Jingjing Zhao, Yihang Hou, Yuzhong Shi, Wei Zhuang, Hanjie Ying, Pengpeng Yang, Keke Zhang|2023|Cryst.Growth Des.|23|5509|doi:10.1021/acs.cgd.3c00150
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.cc2f9x1q
title: CCDC 2243843: Experimental Crystal Structure Determination

description: Related Article: Chiyi Wang, Zihan Li, Shuyang Zhou, Jinqiu Fu, Jingjing Zhao, Yihang Hou, Yuzhong Shi, Wei Zhuang, Hanjie Ying, Pengpeng Yang, Keke Zhang|2023|Cryst.Growth Des.|23|5509|doi:10.1021/acs.cgd.3c00150
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.cc2f9x2r
title: CCDC 2243844: Experimental Crystal Structure Determination

description: Related Article: Chiyi Wang, Zihan Li, Shuyang Zhou, Jinqiu Fu, Jingjing Zhao, Yihang Hou, Yuzhong Shi, Wei Zhuang, Hanjie Ying, Pengpeng Yang, Keke Zhang|2023|Cryst.Growth Des.|23|5509|doi:10.1021/acs.cgd.3c00150
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.cc2f9x3s
title: CCDC 2243845: Experimental Crystal Structure Determination

description: Related Article: Chiyi Wang, Zihan Li, Shuyang Zhou, Jinqiu Fu, Jingjing Zhao, Yihang Hou, Yuzhong Shi, Wei Zhuang, Hanjie Ying, Pengpeng Yang, Keke Zhang|2023|Cryst.Growth Des.|23|5509|doi:10.1021/acs.cgd.3c00150
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.cc2ff2rq
title: CCDC 2246903: Experimental Crystal Structure Determination

description: Related Article: Tingting Sun, Zishuo Zhang, Yusheng Su, Haiqun Cao, Yu Zhou, Gen Luo, Zhi-Chao Cao|2023|J.Am.Chem.Soc.|145|15721|doi:10.1021/jacs.3c05845
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: 10.26180/16917355
title: Single amino acid dropouts confer stress resistance, for Fulton et al, 2021

description: Data set to accompany manuscript by Fulton et al showing that short term amino acid deficiency can confer resistance to nicotine in Drosophila.
DOI: 10.26180/16917355.v1
title: Single amino acid dropouts confer stress resistance, for Fulton et al, 2021

description: Data set to accompany manuscript by Fulton et al showing that short term amino acid deficiency can confer resistance to nicotine in Drosophila.
DOI: 10.57841/casdc.0001804
title: 双级孔含油轴承油压扩散与表面渗析特性分析