cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.12755/shr.res.2012.2
title: การประมวลบทสัมภาษณ์นักวิจัยสาขาวิชาต่าง ๆ เกี่ยวกับการพัฒนางานวิจัยของรัฐสภา
DOI: 10.12755/shr.res.2006.5
title: การวิจัยประเมินผลโครงการแข่งขันตอบปัญหาความรู้เกี่ยวกับรัฐสภา ประจำปี 2549
DOI: 10.12755/shr.res.1997.5
title: คู่มือการใช้ประโยชน์จากฐานข้อมูลประกอบการวิจัย เรื่องศักยภาพทางเศรษฐกิจ สังคม และการเมืองของจังหวัดเพื่อการพัฒนาสถาบันนิติบัญญัติ
DOI: 10.12755/shr.res.2007.5
title: บทบาทหน้าที่การดำเนินงานของสภาที่ปรึกษาเศรษฐกิจและสังคมแห่งชาติ = The Constitutionality of Law Under
DOI: 10.12755/shr.res.2006.6
title: ประเด็นการแก้ไขเพิ่มเติมรัฐธรรมนูญเพื่อนำไปสู่การปฏิรูปทางการเมือง
DOI: 10.12755/shr.res.2008.1
title: รัฐธรรมนูญแห่งราชอาณาจักรไทย พุทธศักราช 2550 : การศึกษาการบังคับใช้
DOI: 10.5281/zenodo.5543957
title: Spatial Damped Anomaly Persistence (SDAP) Forecasts of Sea Ice Presence in the Antarctic between 1999 and 2020

description: Spatial Damped Anomaly Persistence Forecasts of Sea Ice Presence in the southern hemisphere between 1999 and 2020. Each netcdf file corresponds to a single initialisation, done at the start of the stated month, and the forecasts for the following 120 days, both probabilistic (SDAP) and deterministic (SAP) forecasts. The forecasts were derived using OSI SAF sea-ice concentration records (OSI SAF 450 and 430b) and follow the resolution of that dataset (25 km EASE-2 grid). Further details regarding the forecasting method and the results can be found in Niraula et Goessling, 2021 (in review). Please note that while the filenames say "DampedForecast", each file contains both Damped or Deterministic forecasts associated with the date.
description: We acknowledge the financial support by the Federal Ministry of Education and Research of Germany in the framework of SSIP (grant 01LN1701A).
DOI: 10.5281/zenodo.5543956
title: Spatial Damped Anomaly Persistence (SDAP) Forecasts of Sea Ice Presence in the Antarctic between 1999 and 2020

description: Spatial Damped Anomaly Persistence Forecasts of Sea Ice Presence in the southern hemisphere between 1999 and 2020. Each netcdf file corresponds to a single initialisation, done at the start of the stated month, and the forecasts for the following 120 days, both probabilistic (SDAP) and deterministic (SAP) forecasts. The forecasts were derived using OSI SAF sea-ice concentration records (OSI SAF 450 and 430b) and follow the resolution of that dataset (25 km EASE-2 grid). Further details regarding the forecasting method and the results can be found in Niraula et Goessling, 2021 (in review). Please note that while the filenames say "DampedForecast", each file contains both Damped or Deterministic forecasts associated with the date.
description: We acknowledge the financial support by the Federal Ministry of Education and Research of Germany in the framework of SSIP (grant 01LN1701A).
DOI: 10.5281/zenodo.5543773
title: Spatial Damped Anomaly Persistence (SDAP) Forecasts of Sea Ice Presence in the Arctic between 1999 and 2020

description: Spatial Damped Anomaly Persistence Forecasts of Sea Ice Presence in the Arctic between 1999 and 2020. Each netcdf file corresponds to a single initialisation, done at the start of the stated month, and the forecasts for the following 120 days, both probabilistic (SDAP) and deterministic (SAP) forecasts. The forecasts were derived using OSI SAF sea-ice concentration records (OSI SAF 450 and 430b) and follow the resolution of that dataset (25 km EASE-2 grid). Further details regarding the forecasting method and the results can be found in Niraula et Goessling, 2021 (in review). Please note that while the filenames say "DampedForecast", each file contains both Damped or Deterministic forecasts associated with the date.
description: We acknowledge the financial support by the Federal Ministry of Education and Research of Germany in the framework of SSIP (grant 01LN1701A).
DOI: 10.5281/zenodo.5543772
title: Spatial Damped Anomaly Persistence (SDAP) Forecasts of Sea Ice Presence in the Arctic between 1999 and 2020

description: Spatial Damped Anomaly Persistence Forecasts of Sea Ice Presence in the Arctic between 1999 and 2020. Each netcdf file corresponds to a single initialisation, done at the start of the stated month, and the forecasts for the following 120 days, both probabilistic (SDAP) and deterministic (SAP) forecasts. The forecasts were derived using OSI SAF sea-ice concentration records (OSI SAF 450 and 430b) and follow the resolution of that dataset (25 km EASE-2 grid). Further details regarding the forecasting method and the results can be found in Niraula et Goessling, 2021 (in review). Please note that while the filenames say "DampedForecast", each file contains both Damped or Deterministic forecasts associated with the date.
description: We acknowledge the financial support by the Federal Ministry of Education and Research of Germany in the framework of SSIP (grant 01LN1701A).
DOI: 10.34740/kaggle/dsv/2681279
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.6084/m9.figshare.14937117.v3
title: Limitations and Options for Targeted Therapy of Anaplastic Thyroid Cancer: a Novel genome-based Approach. Supplementary

description: In order to find new therapeutic options in anaplastic thyroid cancer, first all FDA-approved drugs for any cancer therapy were identified by searching the databases of National Cancer Institute and MyCancerGenome (database query 09/2021). Unspecific drugs such as Tretinoin or Cabazitaxel were excluded (Supplementary Table 1). Finally, 155 FDA/EMA-approved drugs targeting cancer genetic alterations were included. These drug lists were linked to 136 genes by querying databases of MD Anderson Cancer Center and Drugbank, which encode the potential sites of binding and action (Supplementary Table 1). Moreover, special attention was given to specific genetic alterations resulting in either drug sensitivity or drug resistance of targeted therapy. Hereby the expert-crowdsourced, publication-based databases from MyCancerGenome, CIViC, TARGET and OncoKB (Supplementary Table 2) were mined.
DOI: 10.6084/m9.figshare.14937117
title: Limitations and Options for Targeted Therapy of Anaplastic Thyroid Cancer: a Novel genome-based Approach. Supplementary

description: In order to find new therapeutic options in anaplastic thyroid cancer, first all FDA-approved drugs for any cancer therapy were identified by searching the databases of National Cancer Institute and MyCancerGenome (database query 09/2021). Unspecific drugs such as Tretinoin or Cabazitaxel were excluded (Supplementary Table 1). Finally, 155 FDA/EMA-approved drugs targeting cancer genetic alterations were included. These drug lists were linked to 136 genes by querying databases of MD Anderson Cancer Center and Drugbank, which encode the potential sites of binding and action (Supplementary Table 1). Moreover, special attention was given to specific genetic alterations resulting in either drug sensitivity or drug resistance of targeted therapy. Hereby the expert-crowdsourced, publication-based databases from MyCancerGenome, CIViC, TARGET and OncoKB (Supplementary Table 2) were mined.
DOI: 10.6084/m9.figshare.14937117.v4
title: Limitations and Options for Targeted Therapy of Anaplastic Thyroid Cancer: a Novel genome-based Approach. Supplementary

description: In order to find new therapeutic options in anaplastic thyroid cancer, first all FDA-approved drugs for any cancer therapy were identified by searching the databases of National Cancer Institute and MyCancerGenome (database query 09/2021). Unspecific drugs such as Tretinoin or Cabazitaxel were excluded (Supplementary Table 1). Finally, 155 FDA/EMA-approved drugs targeting cancer genetic alterations were included. These drug lists were linked to 136 genes by querying databases of MD Anderson Cancer Center and Drugbank, which encode the potential sites of binding and action (Supplementary Table 1). Moreover, special attention was given to specific genetic alterations resulting in either drug sensitivity or drug resistance of targeted therapy. Hereby the expert-crowdsourced, publication-based databases from MyCancerGenome, CIViC, TARGET and OncoKB (Supplementary Table 2) were mined.
DOI: 10.6084/m9.figshare.16751650
title: A New Quality of Economic Growth in “Smart” Economy: Advantages for Developing Countries

description: Цифровизация, экономический рост и качество жизни развивающихся стран в 2017 году
DOI: 10.5281/zenodo.1340650
title: Instances of parallel related machine scheduling problem with jobs release dates and deadlines

description: The following dataset contains randomly generated problem instances for the related machine scheduling problem with job's release dates and due dates.<br> There are 4 instance classes each of which contains 10 random instances (i.e., 10 text files) with n=120 jobs and m=26 machines. The instance classes differ one from another in the expected relative width of job's time windows. The text file structure is as follows:<br> n=&lt;number of jobs&gt;;<br> m=&lt;number of machines&gt;;<br> p_{ij}=<br> &lt;n*m matrix: each entry in j-th column and i-th row corresponds to the processing time of job j on machine i&gt;;<br> r_j=<br> &lt;vector with n elements: the j-th element corresponds to the release date of job j&gt;;<br> d_j=<br> &lt;vector with n elements: the j-th element corresponds to the due date of job j&gt;; The jobs are sorted by release date in ascending order.
DOI: 10.5281/zenodo.1340649
title: Instances of parallel related machine scheduling problem with jobs release dates and deadlines

description: The following dataset contains randomly generated problem instances for the related machine scheduling problem with job's release dates and due dates.<br> There are 4 instance classes each of which contains 10 random instances (i.e., 10 text files) with n=120 jobs and m=26 machines. The instance classes differ one from another in the expected relative width of job's time windows. The text file structure is as follows:<br> n=&lt;number of jobs&gt;;<br> m=&lt;number of machines&gt;;<br> p_{ij}=<br> &lt;n*m matrix: each entry in j-th column and i-th row corresponds to the processing time of job j on machine i&gt;;<br> r_j=<br> &lt;vector with n elements: the j-th element corresponds to the release date of job j&gt;;<br> d_j=<br> &lt;vector with n elements: the j-th element corresponds to the due date of job j&gt;; The jobs are sorted by release date in ascending order.
DOI: 10.34740/kaggle/dsv/2681297
title: 2021 World Population (updated daily)
DOI: 10.5281/zenodo.5504138
title: Problem instances for outbound truck loading and scheduling problem

description: The following dataset contains problem instances for the outbound truck scheduling and loading problem, which are proposed in the work "Giorgi Tadumadze & Simon Emde (2021): Loading and scheduling outbound trucks at a dispatch warehouse. <em>IISE Transactions</em>, DOI: 10.1080/24725854.2021.1983923”. The problem instances are stored in table “instances”, where columns of tables can be interpreted as follows: ID: &lt;running index&gt;; name: &lt;instance name, specifying the number of items \(m\), number of trucks \(n\), value of parameter \(\alpha\), [value of parameter \(\Delta\)], and the width of trucks’ time windows&gt;; O: &lt;number of served OEMs&gt;; m: &lt;number of items&gt;; n: &lt;number of trucks&gt;; Q: &lt;total number of available workers&gt;; D: &lt;total number of available dock doors&gt;; w_i: &lt;vector with \(m\) elements: the \(i\)-th element corresponds to the size (required space) of item \(i\)&gt;; d_i: &lt;vector with \(m\) elements: the \(i\)-th element corresponds to the deadline of item \(i\)&gt;; r_i: &lt;vector with \(m\) elements: the \(i\)-th element corresponds to the relative importance (penalty cost per time unit of earliness) of item \(i\)&gt;; c_j: &lt;vector with \(n\) elements: the \(j\)-th element corresponds to the capacity of truck \(j\)&gt;; a_j: &lt;vector with \(n\) elements: the \(j\)-th element corresponds to the earliest possible departure time of truck \(j\)&gt;; b_j: &lt;vector with \(n\) elements: the \(j\)-th element corresponds to the latest possible departure time of truck \(j\)&gt;; q_i: &lt;vector with \(m\) elements: the \(i\)-th element corresponds to the number of required workers to prepare and load item \(i\)&gt;; rho_i: &lt;vector with \(m\) elements: the \(i\)-th element corresponds to the handling time of item \(i\)&gt;; B_i: &lt; \(m \times n\) matrix: each entry in \(j\)-th column and \(i\)-th row corresponds to the binary parameter which has a value 1 if set of available trucks \(B_i\) contains truck \(j\) (i.e., if truck \(j\) departs towards the OEM, who ordered item); 0 otherwise&gt;; The first 270 entries (ID between 1-270) contain OTSLP instances with different instance sizes, used for the computational performance experiments (Section 5.1). The following 100 entries (ID between 271-370) contain 40 OTSLP instances with the varying time window width for each truck (ID between 271-310), 30 OTSLP instances with the varying level of available workers (ID between 311-340), and 30 OTSLP instances with the varying level of available dock doors (ID between 341-370), used for the managerial inside experiments (Section 5.2). The detailed computational results for each instance and solution approach are reported in tables, which are named with the following convention: &lt;results_&lt;approach&gt;”. Specifically, we report the required computational runtime in CPU seconds, status of the found solution (“Optimal”, “Infeasible”, “Feasible” / “AbortTimeLim”), as well as the best found upper (and lower) bound in columns “runtime”, “status”, “UB” and “LB”.
DOI: 10.5281/zenodo.5504137
title: Problem instances for outbound truck loading and scheduling problem

description: The following dataset contains problem instances for the outbound truck scheduling and loading problem, which are proposed in the work "Giorgi Tadumadze & Simon Emde (2021): Loading and scheduling outbound trucks at a dispatch warehouse. <em>IISE Transactions</em>, DOI: 10.1080/24725854.2021.1983923”. The problem instances are stored in table “instances”, where columns of tables can be interpreted as follows: ID: &lt;running index&gt;; name: &lt;instance name, specifying the number of items \(m\), number of trucks \(n\), value of parameter \(\alpha\), [value of parameter \(\Delta\)], and the width of trucks’ time windows&gt;; O: &lt;number of served OEMs&gt;; m: &lt;number of items&gt;; n: &lt;number of trucks&gt;; Q: &lt;total number of available workers&gt;; D: &lt;total number of available dock doors&gt;; w_i: &lt;vector with \(m\) elements: the \(i\)-th element corresponds to the size (required space) of item \(i\)&gt;; d_i: &lt;vector with \(m\) elements: the \(i\)-th element corresponds to the deadline of item \(i\)&gt;; r_i: &lt;vector with \(m\) elements: the \(i\)-th element corresponds to the relative importance (penalty cost per time unit of earliness) of item \(i\)&gt;; c_j: &lt;vector with \(n\) elements: the \(j\)-th element corresponds to the capacity of truck \(j\)&gt;; a_j: &lt;vector with \(n\) elements: the \(j\)-th element corresponds to the earliest possible departure time of truck \(j\)&gt;; b_j: &lt;vector with \(n\) elements: the \(j\)-th element corresponds to the latest possible departure time of truck \(j\)&gt;; q_i: &lt;vector with \(m\) elements: the \(i\)-th element corresponds to the number of required workers to prepare and load item \(i\)&gt;; rho_i: &lt;vector with \(m\) elements: the \(i\)-th element corresponds to the handling time of item \(i\)&gt;; B_i: &lt; \(m \times n\) matrix: each entry in \(j\)-th column and \(i\)-th row corresponds to the binary parameter which has a value 1 if set of available trucks \(B_i\) contains truck \(j\) (i.e., if truck \(j\) departs towards the OEM, who ordered item); 0 otherwise&gt;; The first 270 entries (ID between 1-270) contain OTSLP instances with different instance sizes, used for the computational performance experiments (Section 5.1). The following 100 entries (ID between 271-370) contain 40 OTSLP instances with the varying time window width for each truck (ID between 271-310), 30 OTSLP instances with the varying level of available workers (ID between 311-340), and 30 OTSLP instances with the varying level of available dock doors (ID between 341-370), used for the managerial inside experiments (Section 5.2). The detailed computational results for each instance and solution approach are reported in tables, which are named with the following convention: &lt;results_&lt;approach&gt;”. Specifically, we report the required computational runtime in CPU seconds, status of the found solution (“Optimal”, “Infeasible”, “Feasible” / “AbortTimeLim”), as well as the best found upper (and lower) bound in columns “runtime”, “status”, “UB” and “LB”.
DOI: 10.6084/m9.figshare.14992440
title: Data and R code for "Social convergence of gut microbiomes in vampire bats"

description: The ‘social microbiome’ can fundamentally shape the costs and benefits of group-living, but understanding social transmission of microbes in free-living animals is challenging due to confounding effects of kinship and shared environments (e.g. highly associated individuals often share the same spaces, food, and water). Here, we report evidence for convergence towards a social microbiome among introduced common vampire bats, <i>Desmodus rotundus</i>, a highly social species in which adults feed only on blood, and engage in both mouth-to-body allogrooming and mouth-to-mouth regurgitated food sharing. Shotgun sequencing of samples from 6 zoos in the USA, 15 wild-caught bats from a colony in Belize, and 32 bats from three colonies in Panama showed that fecal microbiomes were more similar within than between colonies. To assess microbial transmission, we created an experimentally merged group of the Panama bats from the three distant sites by housing these bats together for four months. In this merged colony, we found evidence that dyadic gut microbiome similarity increased with both clustering and oral contact, leading to microbiome convergence among introduced bats. Our findings demonstrate that social interactions shape microbiome similarity even when controlling for past social history, kinship, environment, and diet. <br>
DOI: 10.6084/m9.figshare.14992440.v3
title: Data and R code for "Social convergence of gut microbiomes in vampire bats"

description: The ‘social microbiome’ can fundamentally shape the costs and benefits of group-living, but understanding social transmission of microbes in free-living animals is challenging due to confounding effects of kinship and shared environments (e.g. highly associated individuals often share the same spaces, food, and water). Here, we report evidence for convergence towards a social microbiome among introduced common vampire bats, <i>Desmodus rotundus</i>, a highly social species in which adults feed only on blood, and engage in both mouth-to-body allogrooming and mouth-to-mouth regurgitated food sharing. Shotgun sequencing of samples from 6 zoos in the USA, 15 wild-caught bats from a colony in Belize, and 32 bats from three colonies in Panama showed that fecal microbiomes were more similar within than between colonies. To assess microbial transmission, we created an experimentally merged group of the Panama bats from the three distant sites by housing these bats together for four months. In this merged colony, we found evidence that dyadic gut microbiome similarity increased with both clustering and oral contact, leading to microbiome convergence among introduced bats. Our findings demonstrate that social interactions shape microbiome similarity even when controlling for past social history, kinship, environment, and diet. <br>
DOI: 10.6084/m9.figshare.14992440.v2
title: Data and R code for "Social convergence of gut microbiomes in vampire bats"

description: The ‘social microbiome’ can fundamentally shape the costs and benefits of group-living, but understanding social transmission of microbes in free-living animals is challenging due to confounding effects of kinship and shared environments (e.g. highly associated individuals often share the same spaces, food, and water). Here, we report evidence for convergence towards a social microbiome among introduced common vampire bats, <i>Desmodus rotundus</i>, a highly social species in which adults feed only on blood, and engage in both mouth-to-body allogrooming and mouth-to-mouth regurgitated food sharing. Shotgun sequencing of samples from 6 zoos in the USA, 15 wild-caught bats from a colony in Belize, and 32 bats from three colonies in Panama showed that fecal microbiomes were more similar within than between colonies. To assess microbial transmission, we created an experimentally merged group of the Panama bats from the three distant sites by housing these bats together for four months. In this merged colony, we found evidence that dyadic gut microbiome similarity increased with both clustering and oral contact, leading to microbiome convergence among introduced bats. Our findings demonstrate that social interactions shape microbiome similarity even when controlling for past social history, kinship, environment, and diet. <br>
DOI: 10.6084/m9.figshare.16751866
title: PrevHPV-Do boys have the same intentions to get the HPV vaccine as girls? Knowledge, attitudes and intentions toward HPV vaccination in France

description: Do boys have the same intentions to get the HPV vaccine as girls? Knowledge, attitudes and intentions toward HPV vaccination in France
DOI: 10.6084/m9.figshare.16751866.v1
title: PrevHPV-Do boys have the same intentions to get the HPV vaccine as girls? Knowledge, attitudes and intentions toward HPV vaccination in France

description: Do boys have the same intentions to get the HPV vaccine as girls? Knowledge, attitudes and intentions toward HPV vaccination in France
DOI: 10.6084/m9.figshare.16703311
title: Data File - Lee Yee Wan (30 Sept 2021).xlsx

description: Higher education institutions (HEI) are not spared from the Coronavirus disease 2019 (COVID-19) pandemic. The closure of campuses caused by movement control order (MCO) to mitigate the spread of COVID-19 virus has forced HEIs to adopt online learning, especially synchronous online learning (SOL). Although teaching and learning can be continued via SOL, retaining students’ interest and sustaining their engagement have not been sufficiently explored. This study presents a systematic review of research pertaining to SOL associated with students’ interest and engagement in HEIs during the MCO environment<b>. </b>
DOI: 10.6084/m9.figshare.16703311.v2
title: Data File - Lee Yee Wan (30 Sept 2021).xlsx

description: Higher education institutions (HEI) are not spared from the Coronavirus disease 2019 (COVID-19) pandemic. The closure of campuses caused by movement control order (MCO) to mitigate the spread of COVID-19 virus has forced HEIs to adopt online learning, especially synchronous online learning (SOL). Although teaching and learning can be continued via SOL, retaining students’ interest and sustaining their engagement have not been sufficiently explored. This study presents a systematic review of research pertaining to SOL associated with students’ interest and engagement in HEIs during the MCO environment<b>. </b>
DOI: 10.6084/m9.figshare.16703311.v1
title: Data File - Lee Yee Wan (30 Sept 2021).xlsx

description: Higher education institutions (HEI) are not spared from the Coronavirus disease 2019 (COVID-19) pandemic. The closure of campuses caused by movement control order (MCO) to mitigate the spread of COVID-19 virus has forced HEIs to adopt online learning, especially synchronous online learning (SOL). Although teaching and learning can be continued via SOL, retaining students’ interest and sustaining their engagement have not been sufficiently explored. This study presents a systematic review of research pertaining to SOL associated with students’ interest and engagement in HEIs during the MCO environment<b>. </b>