cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.6573889
title: Coverage of DOAJ journals' citations through OpenCitations - Result DataSet

description: The dataset contains: <strong>by_journal.json</strong>: a file containing all information extracted by Open Citations about DOAJ journals divide by year and journal name. Inside the file, the metadata about the journal are: ISSN EISSN number of articles overall in the journal subject(s) number of citations received number of citations done ratio between citations done and received number of citations received from DOAJ journals number of citations done to DOAJ journals ratio between citations done to and received from DOAJ journals. <strong>normal.json</strong>: a file containing all information extracted from Open Citations about DOAJ journals divided only by year. Inside the file, the data by year are: number of citations received. number of citations done. ratio between citations done and received. number of self-citations made by DOAJ inside Open Citations. ratio between the self-citation and the total citations received and done by DOAJ. <strong>errors.json</strong>: a file containing the count of all errors obtained from computations. Inside the file: errors about records that don't have any specified date (null dates). errors about records that have impossible dates (wrong dates). errors about articles that don't have any specified Dois. errors about Open Citations records that don't have any Dois in the citing or cited fields. <strong>DOAJ_metrics.json</strong>: a file containing metrics about DOAJ and Open Citations, obtained by computations. Inside the file are these fields: number of journals with dois. number of articles which have been processed during computations. number of used Dois. All dois (with no repetition) which are used for the adding journal operation. number of repeated Dois. All dois which are repeated inside the same or in another journal. number of accepted Dois. All articles (with repetition) which have both a defined journal and a defined doi.
DOI: 10.5281/zenodo.6573890
title: Coverage of DOAJ journals' citations through OpenCitations - Result DataSet

description: This dataset contains: <strong>doi_with_count.json</strong>, a dictionary having as key the unique identifier "issn+eissn" of journals indexed in the Directory of Open Access Journals (DOAJ) and as values, information about the journal: issn, eissn, title, the list of the DOIs of the articles published in it, the number of citations, references, citations to DOAJ journals and from DOAJ journals. <strong>most_cited.csv</strong> and <strong>most_citing.csv</strong>, two CSV files containing the 30 journals with the most citations and the 30 journals with the most references. <strong>open_cit_in_years.json</strong>, a JSON file where each year is associated to the number of citations involving Open acces journals from DOAJ as both citing and cited entities. <strong>open_cit_w_date_err.json</strong>, containing citations extracted from OpenCitations data dump having open access journals from DOAJ as both citing and cited entities, that have not been computed in <strong>open_cit_in_years.json </strong>in reason of a wrong date.
DOI: 10.5281/zenodo.7418399
title: Coverage of DOAJ journals' citations through OpenCitations - Result DataSet

description: The dataset contains: <strong>by_journal.json</strong>: a file containing all information extracted by Open Citations about DOAJ journals divide by year and journal name. Inside the file, the metadata about the journal are: ISSN EISSN number of articles overall in the journal subject(s) number of citations received number of citations done ratio between citations done and received number of citations received from DOAJ journals number of citations done to DOAJ journals ratio between citations done to and received from DOAJ journals. <strong>normal.json</strong>: a file containing all information extracted from Open Citations about DOAJ journals divided only by year. Inside the file, the data by year are: number of citations received. number of citations done. ratio between citations done and received. number of self-citations made by DOAJ inside Open Citations. ratio between the self-citation and the total citations received and done by DOAJ. <strong>errors.json</strong>: a file containing the count of all errors obtained from computations. Inside the file: errors about records that don't have any specified date (null dates). errors about records that have impossible dates (wrong dates). errors about articles that don't have any specified Dois. errors about Open Citations records that don't have any Dois in the citing or cited fields. <strong>DOAJ_metrics.json</strong>: a file containing metrics about DOAJ and Open Citations, obtained by computations. Inside the file are these fields: number of journals with dois. number of articles which have been processed during computations. number of used Dois. All dois (with no repetition) which are used for the adding journal operation. number of repeated Dois. All dois which are repeated inside the same or in another journal. number of accepted Dois. All articles (with repetition) which have both a defined journal and a defined doi.
DOI: 10.5281/zenodo.7418445
title: Coverage of DOAJ journals' citations through OpenCitations - Result DataSet

description: The dataset contains: <strong>by_journal.json</strong>: a file containing all information extracted by Open Citations about DOAJ journals divide by year and journal name. Inside the file, the metadata about the journal are: ISSN EISSN number of articles overall in the journal subject(s) number of citations received number of citations done ratio between citations done and received number of citations received from DOAJ journals number of citations done to DOAJ journals ratio between citations done to and received from DOAJ journals. <strong>normal.json</strong>: a file containing all information extracted from Open Citations about DOAJ journals divided only by year. Inside the file, the data by year are: number of citations received. number of citations done. ratio between citations done and received. number of self-citations made by DOAJ inside Open Citations. ratio between the self-citation and the total citations received and done by DOAJ. <strong>errors.json</strong>: a file containing the count of all errors obtained from computations. Inside the file: errors about records that don't have any specified date (null dates). errors about records that have impossible dates (wrong dates). errors about articles that don't have any specified Dois. errors about Open Citations records that don't have any Dois in the citing or cited fields. <strong>DOAJ_metrics.json</strong>: a file containing metrics about DOAJ and Open Citations, obtained by computations. Inside the file are these fields: number of journals with dois. number of articles which have been processed during computations. number of used Dois. All dois (with no repetition) which are used for the adding journal operation. number of repeated Dois. All dois which are repeated inside the same or in another journal. number of accepted Dois. All articles (with repetition) which have both a defined journal and a defined doi.
DOI: 10.5281/zenodo.7418438
title: Geogenic soil CO2 flux in a restricted extent close to a CO2-rich groundwater well in a tectonically quiescent area

description: Soil CO<sub>2</sub> flux was investigated in a limited extent close to a CO<sub>2</sub>-rich groundwater well in a tectonically quiescent area by the accumulation chamber method using both LI-COR 8100A (LI-COR Inc., Lincoln, Nebraska, USA) and EGM-5 portable CO<sub>2</sub> gas analyzer (PP Systems, Amesbury, Massachusetts, USA). Performance of the two devices was compared by simultaneously measuring soil CO<sub>2</sub> flux at several points of geogenic and biogenic CO<sub>2</sub> origin using both instruments.
DOI: 10.5281/zenodo.7418437
title: Geogenic soil CO2 flux in a restricted extent close to a CO2-rich groundwater well in a tectonically quiescent area

description: Soil CO<sub>2</sub> flux was investigated in a limited extent close to a CO<sub>2</sub>-rich groundwater well in a tectonically quiescent area by the accumulation chamber method using both LI-COR 8100A (LI-COR Inc., Lincoln, Nebraska, USA) and EGM-5 portable CO<sub>2</sub> gas analyzer (PP Systems, Amesbury, Massachusetts, USA). Performance of the two devices was compared by simultaneously measuring soil CO<sub>2</sub> flux at several points of geogenic and biogenic CO<sub>2</sub> origin using both instruments.
DOI: 10.6084/m9.figshare.21701612
title: Experimental data for Consilience in disease ecology: FMDV transmission dynamics reflect viral growth and immune response rates.

description: Experimental data related to manuscript "Consilience in disease ecology: FMDV transmission dynamics reflect viral growth and immune response rates." <br> SAA and Haptoglobin used as measures of innate response [micrograms/mL], FMDV viral data [log10 genome copies/mL], Virus neutralization titre used as measure of adaptive response. Interferon alpha and gamma.
DOI: 10.6084/m9.figshare.21701612.v1
title: Experimental data for Consilience in disease ecology: FMDV transmission dynamics reflect viral growth and immune response rates.

description: Experimental data related to manuscript "Consilience in disease ecology: FMDV transmission dynamics reflect viral growth and immune response rates." <br> SAA and Haptoglobin used as measures of innate response [micrograms/mL], FMDV viral data [log10 genome copies/mL], Virus neutralization titre used as measure of adaptive response. Interferon alpha and gamma.
DOI: 10.6073/pasta/e14cb276dfe3bdadab7f81375052f2ba
title: Lake Water Level observations for 1036 lakes in Wisconsin, 1900 - 2015

description: This dataset contains the daily lake level observations and other lake attributes in Wisconsin. It covers 1036 lakes including 461 seepage lakes and 575 drainage lakes. It has 342,319 observations. The time span of this dataset is between January 1st, 1900 and December 31st, 2015. The data sources include USGS, Wisconsin Department of Natural Resources, North Temperate Lakes-Long Term Ecological Research (NTL-LTER), North Lakeland Discovery Center, Waushara County, and City of Shell Lake. Wisconsin Department of Natural Resources has two data sources: historical lake levels recorded in paper files and a recently-initiated citizen monitoring program. The latter are stored in Wisconsin DNR’s Surface Water Integrated Monitoring System (SWIMS). The data compilation consists of four major steps. First, data were retrieved from different data sources. Then data from different sources but for the same lakes were tied together using the datum information if possible. The WISCID is used to denote unique data sets by lake and data source. If two data sources could be tied to the same datum, they share a WISCID. Third, three rounds of quality assurance and quality control (QAQC) were conducted. Finally, more attributes such as lake area, lake depth, and lake type were added to the lakes. This data compilation was funded by the Wisconsin Groundwater Joint Solicitation.
DOI: 10.6084/m9.figshare.21701627
title: TRYING TO FOSTER MY STUDENTS: ANALYTICAL AND HORTATORY EXPOSITION

description: This document seeks to aid students in studying analytical exposition and hortatory exposition text using collaborative teaching and learning media with code-switching and mixing. The assumption is that students of English language classes are non-native speakers with various and complex English language learning experiences at an introductory level. Besides that, students represent a multi-demography area in the east Indonesia region, with the most background landscape being the archipelago. Furthermore, half of the students emerge from remote areas at the elementary, middle, and high school levels [remoteness can be inferred from resources, teaching experience, and remote areas, viz.]. As a student telling the story of beginning an English course this semester; Therefore, reading and video literacy media were introduced to increase their motivation and willingness to participate in English classes.
DOI: 10.6084/m9.figshare.21701627.v1
title: TRYING TO FOSTER MY STUDENTS: ANALYTICAL AND HORTATORY EXPOSITION

description: This document seeks to aid students in studying analytical exposition and hortatory exposition text using collaborative teaching and learning media with code-switching and mixing. The assumption is that students of English language classes are non-native speakers with various and complex English language learning experiences at an introductory level. Besides that, students represent a multi-demography area in the east Indonesia region, with the most background landscape being the archipelago. Furthermore, half of the students emerge from remote areas at the elementary, middle, and high school levels [remoteness can be inferred from resources, teaching experience, and remote areas, viz.]. As a student telling the story of beginning an English course this semester; Therefore, reading and video literacy media were introduced to increase their motivation and willingness to participate in English classes.
DOI: 10.34740/kaggle/dsv/4695666
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.6084/m9.figshare.21673265.v2
title: Models and dataset for "MODIS observations of the long-term variations of dissolved oxygen in Lake Taihu"

description: This database included the annual mean disoloved oxygen in Lake Taihu from 2002 to 2021 which was derived using MODIS Aqua and a machine learning model. The data format is geotiff. This database also contains the model and relevant scripts relevant to the retrievals of disoloved oxygen.
DOI: 10.6073/pasta/0633f0cfc0766ae5f9c8653f278d1351
title: Ground water levels for 964 monitoring wells in Wisconsin, 1929 - 2015

description: This dataset contains the daily groundwater level observations and other monitoring well attributes in Wisconsin. It covers 964 groundwater level monitoring wells and has 400,812 observations. The time span of this dataset is between February 2nd, 1929 and December 31st, 2015. The data sources include United States Geological Survey (USGS), Wisconsin Department of Natural Resources (WDNR), University of Wisconsin Extension, counties in Central Sands area, and North Temperate Lakes - Long-Term Ecological Research (NTL-LTER). The data compilation consists of three major steps. First, the data were retrieved from different data sources. Then the data from different sources were pooled together. No well was monitored by more than one entity so none of the wells’ records were merged. Third, two rounds of quality assurance and quality control (QAQC) were conducted. Wells in confined aquifers were not included in this dataset. The values of the USGS and Central Sands data are the depth to the water whereas LTER values are mean sea level elevations of the groundwater levels. These data could not be directly compared with each other. This data compilation was funded by the Wisconsin Groundwater Joint Solicitation.
DOI: 10.5281/zenodo.7418326
title: Quartet of familiar females – 16p11.2 Del mouse strain – 2 WT + 2 Del/+ - F3

description: We monitored the individual and social behaviours of each quartet of mice over three days and nights in the Live Mouse Tracker system (LMT, plugin 931; de Chaumont et al. 2019 Nat. Biomed. Engin.). This system tracks individually mice living in a group over several days and nights and extracts automatically the number, total duration and mean duration of more than thirty behavioural events describing the posture of the mouse, the types of social contacts, the dynamic social approach and escapes and complex social groupings (see de Chaumont et al. 2019 Nat. Biomed. Engin.). In this system, the four mice (10-14 weeks of age; 2 WT mice and 2 Del/+ mice) from the same housing cage (housed together from weaning on) were left undisturbed for 71 hours in a large transparent Plexiglas cage (50 x 50 x 40 cm), with fresh bedding, a house (width: 100 mm, depth: 75 mm, height: 40 mm) in red Plexiglas, 6 dental cotton rolls as well as food and water ad libitum. Light/dark cycle and temperature conditions were similar to those of the housing room (12/12h light/dark, lights on at 07:00 AM, 100 lux when the lights were on). Each recording session started between 03:00 and 04:00 PM. At the end of the session, mice were placed back in their home cage and the LMT setup was cleaned with soap water and dried with paper towels. The upload includes the sqlite database from LMT (processed).
DOI: 10.5281/zenodo.7418325
title: Quartet of familiar females – 16p11.2 Del mouse strain – 2 WT + 2 Del/+ - F3

description: We monitored the individual and social behaviours of each quartet of mice over three days and nights in the Live Mouse Tracker system (LMT, plugin 931; de Chaumont et al. 2019 Nat. Biomed. Engin.). This system tracks individually mice living in a group over several days and nights and extracts automatically the number, total duration and mean duration of more than thirty behavioural events describing the posture of the mouse, the types of social contacts, the dynamic social approach and escapes and complex social groupings (see de Chaumont et al. 2019 Nat. Biomed. Engin.). In this system, the four mice (10-14 weeks of age; 2 WT mice and 2 Del/+ mice) from the same housing cage (housed together from weaning on) were left undisturbed for 71 hours in a large transparent Plexiglas cage (50 x 50 x 40 cm), with fresh bedding, a house (width: 100 mm, depth: 75 mm, height: 40 mm) in red Plexiglas, 6 dental cotton rolls as well as food and water ad libitum. Light/dark cycle and temperature conditions were similar to those of the housing room (12/12h light/dark, lights on at 07:00 AM, 100 lux when the lights were on). Each recording session started between 03:00 and 04:00 PM. At the end of the session, mice were placed back in their home cage and the LMT setup was cleaned with soap water and dried with paper towels. The upload includes the sqlite database from LMT (processed).
DOI: 10.6084/m9.figshare.21673265
title: Models and dataset for "Using MODIS data to track the long-term variations of dissolved oxygen in Lake Taihu"

description: This database included the annual mean disoloved oxygen in Lake Taihu from 2002 to 2021 which was derived using MODIS Aqua and a machine learning model. The data format is geotiff. This database also contains the model and relevant scripts relevant to the retrievals of disoloved oxygen.
DOI: 10.6084/m9.figshare.21673265.v3
title: Models and dataset for "MODIS observations of the long-term variations of dissolved oxygen in Lake Taihu"

description: This database included the annual mean disoloved oxygen in Lake Taihu from 2002 to 2021 which was derived using MODIS Aqua and a machine learning model. The data format is geotiff. This database also contains the model and relevant scripts relevant to the retrievals of disoloved oxygen.
DOI: 10.14457/nida.the.2017.79
title: Analysis of agenda setting, public policy formulation, implementation and development: a case study of Thailand's village and urban community fund
DOI: 10.14457/nida.the.2021.39
title: กระบวนการยุติธรรมกับการระงับข้อพิพาททางเวชปฏิบัติในประเทศไทย
DOI: 10.14457/nida.the.2020.52
title: การศึกษาลักษณะของข่าวปลอมที่เผยแพร่ผ่านสื่อออนไลน์ในประเทศไทยและแนวทางการรับมือ
DOI: 10.14457/nida.the.2012.34
title: การประยุกต์ใช้สุนทรียสาธกเพื่อพัฒนากระบวนการสืบทอดตำแหน่งผู้นำในชุมชนที่มีอัตลักษณ์ทางชาติพันธุ์ : กรณีศึกษา ชุมชนบ้านแม่คองซ้าย อำเภอเชียงดาว จังหวัดเชียงใหม่
DOI: 10.14457/nida.the.2016.158
title: การประเมินการฝึกอบรมวิชาชีพโครงการสร้างชีวิตใหม่ให้สตรีและครอบครัว (หลักสูตร 44 วัน) : ศึกษากรณีศูนย์เฉลิมพระเกียรติ 72 พรรณา บรมราชินีนาถ จังหวัดลำพูน
DOI: 10.14457/nida.the.2011.48
title: การประเมินผลสำเร็จของชุมชนที่ได้ดำเนินการตามมาตรฐานการอยู่อาศัยในชุมชนของการเคหะแห่งชาติ : กรณีศึกษาโครงการเคหะชุมชนทุ่งสองห้อง อาคารแฟลตเช่า
DOI: 10.14457/nida.the.2011.49
title: การประเมินผลกองทุนเงินให้กู้ยืมเพื่อการศึกษา : กรณีศึกษา สถานศึกษาระดับอาชีวศึกษาในจังหวัดสมุทรสงคราม
DOI: 10.6084/m9.figshare.21648506.v4
title: Supporting Information of Computational results for Experimental and Theoretical Elucidation of SPAAC Kinetics for Strained Alkyne-Containing Cycloparaphenylenes

description: Supporting Information of Computational results for Experimental and Theoretical Elucidation of SPAAC Kinetics for Strained Alkyne-Containing Cycloparaphenylenes
DOI: 10.13026/nz91-gb70
title: RadQA: A Question Answering Dataset to Improve Comprehension of Radiology Reports

description: We present a radiology question answering dataset, RadQA, with 3074 questions
posed against radiology reports and annotated with their corresponding answer
spans (resulting in a total of 6148 question-answer evidence pairs) by
physicians. The questions are manually created using the clinical referral
section of the reports that take into account the actual information needs of
ordering physicians and eliminate bias from seeing the answer context (and,
further, organically create unanswerable questions). The answer spans are
marked within the Findings and Impressions sections of a report. The dataset
aims to satisfy the complex clinical requirements by including complete (yet
concise) answer phrases (which are not just entities) that can span multiple
lines. In published work, we conducted a thorough analysis of the proposed
dataset by examining the broad categories of disagreement in annotation
(providing insights on the errors made by humans) and the reasoning
requirements to answer a question (uncovering the huge dependence on medical
knowledge for answering the questions). In that work, the best-performing
transformer language model achieved an F1 of 63.55 on the test set. However,
the top human-level performance on this dataset is 90.31 (with an average
human performance of 84.52), which demonstrates the challenging nature of
RadQA that leaves ample scope for future method research.
DOI: 10.13026/ckkp-6y19
title: RadQA: A Question Answering Dataset to Improve Comprehension of Radiology Reports

description: We present a radiology question answering dataset, RadQA, with 3074 questions
posed against radiology reports and annotated with their corresponding answer
spans (resulting in a total of 6148 question-answer evidence pairs) by
physicians. The questions are manually created using the clinical referral
section of the reports that take into account the actual information needs of
ordering physicians and eliminate bias from seeing the answer context (and,
further, organically create unanswerable questions). The answer spans are
marked within the Findings and Impressions sections of a report. The dataset
aims to satisfy the complex clinical requirements by including complete (yet
concise) answer phrases (which are not just entities) that can span multiple
lines. In published work, we conducted a thorough analysis of the proposed
dataset by examining the broad categories of disagreement in annotation
(providing insights on the errors made by humans) and the reasoning
requirements to answer a question (uncovering the huge dependence on medical
knowledge for answering the questions). In that work, the best-performing
transformer language model achieved an F1 of 63.55 on the test set. However,
the top human-level performance on this dataset is 90.31 (with an average
human performance of 84.52), which demonstrates the challenging nature of
RadQA that leaves ample scope for future method research.
DOI: 10.5519/qd.cnc8k8h5
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)