cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6073/pasta/12b01d69a633da65ce7c856cf0eb5b34
title: Jornada Basin LTER: Wireless meteorological station at NPP P-COLL site: Daily summary data: 2013 - ongoing

description: Daily summary data at NPP P-COLL met station. Average/maximum/minimum air temperature; average/maximum relative humidity and wind speed and average wind direction. These are measured and calculated based on 1-second scan rate of all sensors located at an automated meteorological station installed at Jornada LTER NPP P-COLL site. Wind speed is measured at 75 cm, 150 cm, and 300 cm, wind direction at approximately 3m, and air temperature and relative humidity at approximate 2.5m. This climate station is operated by the Jornada LTER Program. This is an ONGOING dataset.
DOI: 10.6073/pasta/54dc0fbf985e66e06ac15b39210b95f2
title: Jornada Basin LTER: Wireless meteorological station at NPP P-COLL site: 1-second summary precipitation data: 2013 - ongoing

description: 1-second summary precipitation data at NPP P-COLL met station. Total precipitation per second is recorded only if there is measurable precipitation. This is recorded at an automated meteorological station installed at Jornada LTER NPP P-COLL site.. This climate station is operated by the Jornada LTER Program. IMPORTANT: Rainfall is only recorded when a bucket tip occurs on the tipping bucket rain gauge. If there is missing data due to equipment or other problems, there will be no indication of this within this dataset. The user needs to review precipitation values in the 30 minute or hourly summary datasets to determine if there are missing data in this 1 second detailed precipitation dataset. Reference the package i.d.'s knb-lter-jrn.210437025, knb-lter-jrn.210437040, and knb-lter-jrn.210437055 for the NPP P-COLL met station 30 minute, hourly, and daily summary datasets, respectively. This is an ONGOING dataset.
DOI: 10.6073/pasta/7a6d512f2ae2f4aab5203c5d189ceb82
title: Jornada Basin LTER: Wireless meteorological station at NPP P-SMAL site: 1-hour summary data: 2013 - ongoing

description: Hourly summary data at NPP P-SMAL met station. Average/maximum/minimum air temperature; average relative humidity and wind direction; average/maximum wind speed. These are measured and calculated based on 1-second scan rate of all sensors located at an automated meteorological station installed at Jornada LTER NPP P-SMAL site. Wind speed is measured at 75 cm, 150 cm, and 300 cm, wind direction at approximately 3m, and air temperature and relative humidity at approximate 2.5m. This climate station is operated by the Jornada LTER Program. This is an ONGOING dataset.
DOI: 10.6073/pasta/cd68a47f6beddb68ef945c5305066f4f
title: Jornada Basin LTER: Wireless meteorological station at NPP P-SMAL site: 30-minute summary data: 2013 - ongoing

description: 30-minute summary data at NPP P-SMAL met station. Average air temperature, relative humidity, wind speed and wind direction are measured and calculated based on 1-second scan rate of all sensors located at an automated meteorological station installed at Jornada LTER NPP P-SMAL site. Wind speed is measured at 75 cm, 150 cm, and 300 cm, wind direction at approximately 3m, and air temperature and relative humidity at approximate 2.5m. This climate station is operated by the Jornada LTER Program. This is an ONGOING dataset.
DOI: 10.6073/pasta/8e2d453ad6010dba7116015f5e55b43e
title: Jornada Basin LTER: Wireless meteorological station at NPP P-SMAL site: Daily summary data: 2013 - ongoing

description: Daily summary data at NPP P-SMAL met station. Average/maximum/minimum air temperature; average/maximum relative humidity and wind speed and average wind direction. These are measured and calculated based on 1-second scan rate of all sensors located at an automated meteorological station installed at Jornada LTER NPP P-SMAL site. Wind speed is measured at 75 cm, 150 cm, and 300 cm, wind direction at approximately 3m, and air temperature and relative humidity at approximate 2.5m. This climate station is operated by the Jornada LTER Program. This is an ONGOING dataset.
DOI: 10.6073/pasta/f69fd836eaa183fcfb8cea7b248fee41
title: Jornada Basin LTER: Wireless meteorological station at NPP P-SMAL site: 1-second summary precipitation data: 2013 - ongoing

description: 1-second summary precipitation data at NPP P-SMAL met station. Total precipitation per second is recorded only if there is measurable precipitation. This is recorded at an automated meteorological station installed at Jornada LTER NPP P-SMAL site.. This climate station is operated by the Jornada LTER Program. IMPORTANT: Rainfall is only recorded when a bucket tip occurs on the tipping bucket rain gauge. If there is missing data due to equipment or other problems, there will be no indication of this within this dataset. The user needs to review precipitation values in the 30 minute or hourly summary datasets to determine if there are missing data in this 1 second detailed precipitation dataset. Reference the package i.d.'s knb-lter-jrn.210437026, knb-lter-jrn.210437041, and knb-lter-jrn.210437056 for the NPP P-SMAL met station 30 minute, hourly, and daily summary datasets, respectively. This is an ONGOING dataset.
DOI: 10.25919/vanm-5r41
title: Parkes observations for project P1147 semester 2022APRS_06

description: Searching for the eclipsing millisecond pulsars with low-mass companions, namely black widow pulsars, led to the discovery of the first exoplanet. The properties and formation scenarios of the planetary-mass companions around millisecond pulsars are still unsolved questions. The companions and their atmospheres are likely to be ablated by the irradiation and the pulsar wind. We propose to probe atomic and molecular compositions in the gas ablated from the companion by searching for absorption lines or even maser emission against pulsars and simultaneously measure the magnetic field strengths directly through Zeeman splitting. Any detection would be a major discovery and thus help constrain the evolutionary history and the formation scenarios of planetary-mass companions of pulsars.
DOI: 10.6084/m9.figshare.21686273
title: Semantic source code labels

description: This is dataset of semantic source code labels.
DOI: 10.6084/m9.figshare.21686273.v1
title: Semantic source code labels

description: This is dataset of semantic source code labels.
DOI: 10.6073/pasta/5727f58e878a40fd2063c8e4961873bf
title: Jornada Basin LTER: Wireless meteorological station at NPP P-SMAL site: 30-minute soil volumetric water content data: 2013 - ongoing

description: 30-minute Soil Moisture data at NPP P-SMAL met station. Collection of soil volumetric water content data at Jornada LTER NPP sites, New Mexico, supports the environmental monitoring objectives of the Jornada LTER monitoring program that look at plant-soil water dynamics. Volumetric water content, bulk electrical conductivity, soil temperature, and bulk dielectric permittivity are measured every 30 minutes at an automated meteorological station installed at Jornada LTER NPP P-SMAL site. Measurements are made every 30 minutes at 10 cm, 20 cm, and 30 cm soil depths. This is an ONGOING dataset.
DOI: 10.6073/pasta/6987fb2d88b4142ae9b18b26ef668a7b
title: Jornada Basin LTER: Wireless meteorological station at NPP P-SMAL site: Daily average soil volumetric water content data: 2013 - ongoing

description: Daily average of 30-minute Volumetric Water Content at NPP P-SMAL met station. Collection of soil volumetric water content data at Jornada LTER NPP sites, New Mexico, supports the environmental monitoring objectives of the Jornada LTER monitoring program that look at plant-soil water dynamics. Volumetric water content, bulk electrical conductivity, soil temperature, and bulk dielectric permittivity are measured and calculated at an automated meteorological station installed at Jornada LTER NPP P-SMAL site. The daily average at 3 soil depths is calculated from measurements made every 30 minutes at 10 cm, 20 cm, and 30 cm. This is an ONGOING dataset.
DOI: 10.14457/tu.the.2021.1022
title: Roles of educational resources in Thai public schools: quantile regression

description: Resource-based education policies are common worldwide to improve student achievement. This study employs panel data with the first differences estimation to examine the relationships between educational resources and student achievement. This first differences estimation minimises endogeneity problems. Besides, quantile concept helps to explore the relationship along the score distributions. This research uses data of public primary schools and public secondary schools in 2014 and 2017. The results show that school subsidies from the Free Education Programme could promote student achievement in public schools when schools are adequately funded. However, low student achievement public schools have inadequate resources. When public schools have insufficient resources, these schools prioritise spending on utility bill and school administration and spend less on students. Second, subsidies for small schools cannot compensate for disadvantages of small public schools. Small public schools face many disadvantages such as high percentage of poor students and low school budget. Lastly, teacher expense per student does not reflect student achievement due to weak links between teacher compensate and student achievement.To improve student achievement, the government should provide higher subsidies for small public schools to ensure minimum required resources. Creating teacher incentives is essential to improve student achievement and attract quality teachers to protected and small schools. Finally, supporting staff recruitment will reduce teachers' workload outside the classroom. Therefore, teachers can focus on student learning.
DOI: 10.14457/nida.the.2011.45
title: การจัดการขยะฐานศูนย์ : กรณีศึกษาโรงเรียนจอมพระประชาสรรค์ อำเภอจอมพระ จังหวัดสุรินทร์
DOI: 10.14457/nida.the.2012.27
title: การจัดการปัญหาการเปลี่ยนแปลงสภาพภูมิอากาศขององค์กรปกครองส่วนท้องถิ่นในจังหวัดสมุทรสาคร
DOI: 10.14457/nida.the.2012.28
title: การจัดการน้ำเสียขององค์กรปกครองส่วนท้องถิ่น : กรณีศึกษาเทศบาลตำบล เมืองแกลง จังหวัดระยอง
DOI: 10.14457/nida.the.2011.46
title: การดำรงอยู่ของอาชีพชาวนาไทย : กรณีศึกษาชาวนาจังหวัดลพบุรี
DOI: 10.14457/nida.the.2011.47
title: การนำแผนผู้สูงอายุแห่งชาติฉบับที่ 2 (พ.ศ. 2002-2564) ฉบับปรับปรุง ครั้งที่ 1 พ.ศ. 2009 ไปปฏิบัติ : กรณีศึกษา อำเภอเวียงสา จังหวัดน่าน
DOI: 10.14457/nida.the.2012.29
title: การจัดการความปลอดภัย อาชีวอนามัย และสิ่งแวดล้อมในการทำงาน (SHE) ในโรงงานผลิตน้ำมันจากยางรถยนต์เก่าไม่ใช้แล้ว
DOI: 10.26186/147522
title: East Tasmania Magnetic and Radiometric Survey, TAS, 2022, (P5020), total magnetic intensity grid

description: Total magnetic intensity (TMI) data measures variations in the intensity of the Earth's magnetic field caused by the contrasting content of rock-forming minerals in the Earth crust. Magnetic anomalies can be either positive (field stronger than normal) or negative (field weaker) depending on the susceptibility of the rock. The data are processed via standard methods to ensure the response recorded is that due only to the rocks in the ground. The results produce datasets that can be interpreted to reveal the geological structure of the sub-surface. The processed data is checked for quality by GA geophysicists to ensure that the final data released by GA are fit-for-purpose. This East Tasmania Magnetic and Radiometric Survey, TAS, 2022, (P5020), total magnetic intensity grid has a cell size of degrees (approximately 40m). The units are in nanoTesla (or nT). The data used to produce this grid was acquired in 2022 by the TAS Government, and consisted of 57178 line-kilometres of data at 200m line spacing and 80m terrain clearance.
DOI: 10.26186/147523
title: East Tasmania Magnetic and Radiometric Survey, TAS, 2022, (P5020), total magnetic intensity, reduced to pole grid

description: Total magnetic intensity (TMI) data measures variations in the intensity of the Earth's magnetic field caused by the contrasting content of rock-forming minerals in the Earth crust. Magnetic anomalies can be either positive (field stronger than normal) or negative (field weaker) depending on the susceptibility of the rock. The data are processed via standard methods to ensure the response recorded is that due only to the rocks in the ground. The results produce datasets that can be interpreted to reveal the geological structure of the sub-surface. The processed data is checked for quality by GA geophysicists to ensure that the final data released by GA are fit-for-purpose. This magnetic grid has a cell size of degrees (approximately 40m).The data are in nanoTesla (or nT). The data used to produce this grid was acquired in 2022 by the TAS Government, and consisted of 57178 line-kilometres of data at 200m line spacing and 80m terrain clearance. The data has had a variable reduction to the pole applied to centre the magnetic anomaly over the magnetised body. The VRTP processing followed a differential reduction to pole calculation up to 5th order polynomial. Magnetic inclination and declination were derived from the IGRF-11 geomagnetic reference model using a data representative date and elevation representative of the survey.
DOI: 10.26186/147525
title: East Tasmania Magnetic and Radiometric Survey, TAS, 2022, (P5020), K equivalent ground concentration grid

description: The radiometric, or gamma-ray spectrometric method, measures the natural variations in the gamma-rays detected near the Earth's surface as the result of the natural radioactive decay of potassium (K), uranium (U) and thorium (Th). The data collected are processed via standard methods to ensure the response recorded is that due only to the rocks in the ground. The results produce datasets that can be interpreted to reveal the geological structure of the sub-surface. The processed data is checked for quality by GA geophysicists to ensure that the final data released by GA are fit-for-purpose. This radiometric potassium grid has a cell size of degrees (approximately 40m) and shows potassium element concentration of the East Tasmania Magnetic and Radiometric Survey, 2022 in units of percent (or %). The data used to produce this grid was acquired in 2022 by the TAS Government, and consisted of 57178 line-kilometres of data at 200m line spacing and 80m terrain clearance.
DOI: 10.26186/147531
title: East Tasmania Magnetic and Radiometric Survey, TAS, 2022, (P5020), total magnetic intensity, reduced to pole, first vertical derivative grid

description: Total magnetic intensity (TMI) data measures variations in the intensity of the Earth's magnetic field caused by the contrasting content of rock-forming minerals in the Earth crust. Magnetic anomalies can be either positive (field stronger than normal) or negative (field weaker) depending on the susceptibility of the rock. The data are processed via standard methods to ensure the response recorded is that due only to the rocks in the ground. The results produce datasets that can be interpreted to reveal the geological structure of the sub-surface. The processed data is checked for quality by GA geophysicists to ensure that the final data released by GA are fit-for-purpose. . This East Tasmania Magnetic and Radiometric Survey, TAS, 2022, (P5020), total magnetic intensity, reduced to pole, first vertical derivative grid is the first vertical derivative of the TMI RTP grid of the East Tasmania Magnetic and Radiometric Survey, 2022 survey. This grid has a cell size of degrees (approximately 40m) , and given in units of nT per metre (nT/m). The data used to produce the TMI grid was acquired in 2022 by the TAS Government, and consisted of 57178 line-kilometres of data at 200m line spacing and 80m terrain clearance. The data has had a variable reduction to the pole applied to centre the magnetic anomaly over the magnetised body. The VRTP processing followed a differential reduction to pole calculation up to 5th order polynomial. Magnetic inclination and declination were derived from the IGRF-11 geomagnetic reference model using a data representative date and elevation representative of the survey. A first vertical derivative was calculated by applying a fast Fourier transform (FFT) process to the TMI RTP grid of the East Tasmania Magnetic and Radiometric Survey, 2022 survey to produce this grid. This grid was calculated using an algorithm from the INTREPID Geophysics software package. This grid shows the magnetic response of subsurface features with contrasting magnetic susceptibilities. The grid can also be used to locate structural features such as dykes.
DOI: 10.6073/pasta/e971228deb206e3259f78e14aa3edc0d
title: Jornada Basin LTER: Wireless meteorological station at NPP P-TOBO site: 5-minute summary wind and air temperature data: 2013 - ongoing

description: 5-minute summary data at NPP P-TOBO met station. Average air temperature, wind speed and wind direction are measured and calculated based on 1-second scan rate of all sensors located at an automated meteorological station installed at Jornada LTER NPP P-TOBO site. Wind speed is measured at 75 cm, 150 cm, and 300 cm, wind direction at approximately 3m, and air temperature at approximate 2.5m. This climate station is operated by the Jornada LTER Program. This is an ONGOING dataset.
DOI: 10.26186/147521
title: East Tasmania Magnetic and Radiometric Survey, TAS, 2022, (P5020), ground elevation geoid grid

description: Digital Elevation data record the terrain height variations from the processed point- or line-located data recorded during a geophysical survey. This East Tasmania Magnetic and Radiometric Survey, TAS, 2022, (P5020), ground elevation geoid grid is elevation data for the East Tasmania Magnetic and Radiometric Survey, 2022. This survey was acquired under the project No. 5020 for the geological survey of TAS. The grid has a cell size of degrees (approximately 40m). This grid contains the ground elevation relative to the geoid for the East Tasmania Magnetic and Radiometric Survey, 2022. It represents the vertical distance from a location on the Earth's surface to the geoid. The data are given in units of meters. The processed data is checked for quality by GA geophysicists to ensure that the final data released by GA are fit-for-purpose.
DOI: 10.6073/pasta/013a0b156cf20ce71dfc9fc460cb4a97
title: Jornada Basin LTER: Wireless meteorological station at NPP P-TOBO site: 1-second summary precipitation data: 2013 - ongoing

description: 1-second summary precipitation data at NPP P-TOBO met station. Total precipitation per second is recorded only if there is measurable precipitation. This is recorded at an automated meteorological station installed at Jornada LTER NPP P-TOBO site.. This climate station is operated by the Jornada LTER Program. IMPORTANT: Rainfall is only recorded when a bucket tip occurs on the tipping bucket rain gauge. If there is missing data due to equipment or other problems, there will be no indication of this within this dataset. The user needs to review precipitation values in the 30 minute or hourly summary datasets to determine if there are missing data in this 1 second detailed precipitation dataset. Reference the package i.d.'s knb-lter-jrn.210437027, knb-lter-jrn.210437042, and knb-lter-jrn.210437057 for the NPP P-TOBO met station 30 minute, hourly, and daily summary datasets, respectively. This is an ONGOING dataset.
DOI: 10.26186/147530
title: East Tasmania Magnetic and Radiometric Survey, TAS, 2022, (P5020), Magnetic Line Data - Reduced

description: Total magnetic intensity (TMI) data measures variations in the intensity of the Earth's magnetic field caused by the contrasting content of rock-forming minerals in the Earth crust. Magnetic anomalies can be either positive (field stronger than normal) or negative (field weaker) depending on the susceptibility of the rock. The data are processed via standard methods to ensure the response recorded is that due only to the rocks in the ground. The results produce datasets that can be interpreted to reveal the geological structure of the sub-surface. The processed data is checked for quality by GA geophysicists to ensure that the final data released by GA are fit-for-purpose. These line dataset from the East Tasmania Magnetic and Radiometric Survey, 2022 survey were acquired in 2022 by the TAS Government, and consisted of 57178 line-kilometres of data at 200m line spacing and 80m terrain clearance.
DOI: 10.26186/147529
title: East Tasmania Magnetic and Radiometric Survey, TAS, 2022, (P5020), Radiometric Line Data - Reduced

description: The radiometric, or gamma-ray spectrometric method, measures the natural variations in the gamma-rays detected near the Earth's surface as the result of the natural radioactive decay of potassium (K), uranium (U) and thorium (Th). The data collected are processed via standard methods to ensure the response recorded is that due only to the rocks in the ground. The results produce datasets that can be interpreted to reveal the geological structure of the sub-surface. The processed data is checked for quality by GA geophysicists to ensure that the final data released by GA are fit-for-purpose. This East Tasmania Magnetic and Radiometric Survey, TAS, 2022, (P5020), Radiometric Line Data - Reduced were acquired in 2022 by the TAS Government, and consisted of 57178 line-kilometres of data at 200m line spacing and 80m terrain clearance.