cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.4225/25/56ca72ee34348
title: L0125 Jerilderie Town

description: The coverage of this dataset is over the JerilderieTown region . The C3 LAS data set contains point data in LAS 1.2 format sourced from a LiDAR ( Light Detection and Ranging ) from an ALS50 ( Airborne Laser Scanner ) sensor . The processed data has been manually edited to achieve LPI classification level 3 whereby the ground class contains minimal non-ground points such as vegetation , water , bridges , temporary features , jetties etc . Purpose: To provide fit-for-purpose elevation data for use in applications related to coastal vulnerability assessment, natural resource management ( especially water and forests) , transportation and urban planning . Additional lineage information: This data has an accuracy of 0.3m ( 95 confidence )  horizontal with a minimum point density of one laser pulse per square metre. For more information on the data's accuracy, refer to the lineage provided in the data history .
DOI: 10.4225/25/56ca73039151f
title: L0101 Lightning Ridge Town

description: The coverage of this dataset is over the LightningRidgeTown region . The C3 LAS data set contains point data in LAS 1.2 format sourced from a LiDAR ( Light Detection and Ranging ) from an ALS50 ( Airborne Laser Scanner ) sensor . The processed data has been manually edited to achieve LPI classification level 3 whereby the ground class contains minimal non-ground points such as vegetation , water , bridges , temporary features , jetties etc . Purpose: To provide fit-for-purpose elevation data for use in applications related to coastal vulnerability assessment, natural resource management ( especially water and forests) , transportation and urban planning . Additional lineage information: This data has an accuracy of 0.3m ( 95 confidence )  horizontal with a minimum point density of one laser pulse per square metre. For more information on the data's accuracy, refer to the lineage provided in the data history .
DOI: 10.4225/25/56ca7317e8f0e
title: Macintyre Lidar 2013, Imagery and derived products for Macintyre River Floodplains (MDBA).

description: Project
In 2013, Geoscience Australia commissioned AAM to undertake a LiDAR survey with accompanying field survey and ortho imagery capture over the Macintyre river region comprising approx 7,500 square kilometres. Ref Deed CMC G3298 Contract CMC G4417.

Collection of both LiDAR and simultaneous and near simultaneous imagery utilising the Optech ALTM Pegasus HA500 sensor and the Vision Map A3 digital camera occurred from 06 November 2013 to 17th December 2013 with a total of 20 LiDAR flights plus a very small infill (LiDAR only) flight on 17th March 2014. 

The LiDAR was controlled from existing CORS GPS stations and 3 newly setup reference GPS station. 158 test point sites that overlapped the LiDAR were surveyed by AAM using Kinematic Smartnet GPS. The specification for this survey was provided in the aforementioned contract document 

Data
The LiDAR, Ortho and field surveys conform in accuracy, format and nomenclature  conform to the above specification. The ortho imagery comprises 0.20m GSD RGB Geotiff imagery in Geotiff and ECW formats. 

The area spans MGA zones 55 and 56 products have been generated with an overlap as per the specification and nomenclature advice from the client.
DOI: 10.4225/25/56ca732a95fff
title: L0097 Merimbula

description: The coverage of this dataset is over the Merimbula region . The MKP ( Model Key Points ) data set contains thinned point cloud data in LAS 1.2 format derived from a LiDAR ( Light Detection and Ranging ) C3 point cloud from an ALS50 ( Airborne Laser Scanner ) system . The MKP are produced using a maximum of 10m point spacing and point density is increased when geographic features are greater than 0.15m. The model is not fully developed with regard to hydrological data . Purpose: To provide an authoritative ALS terrain dataset to support the development industry standards in a variety of governmental , research and industrial uses . Additional lineage information: Standard ALS products are processed to ICSM standards level C3 . This data has an accuracy of 0.3m 95 confidence horizontal . For more information on the data's accuracy , please refer to the lineage provided in the data history .
DOI: 10.6073/pasta/8895c6240d04249eb5acb4f2d979987a
title: McMurdo Dry Valleys F6 Snowfence Station Measurements
DOI: 10.6073/pasta/88a07e01affe4073dcb18670de6b5980
title: Chemistry of Streamwater at the Hubbard Brook Experimental Forest, Watershed 7, 1995 - present
DOI: 10.6073/pasta/a8610cf76cc5f6bb1a0fd66b9e5f805b
title: Insect Population Dynamics on the Main Cropping System Experiment at the Kellogg Biological Station, Hickory Corners, MI  (1989 to 2013)
DOI: 10.6073/pasta/b67dc64b5f5498238cbb7aff403e4f7b
title: Chemistry of Streamwater at the Hubbard Brook Experimental Forest, Watershed 4, 1963 - present
DOI: 10.14457/nida.the.2006.100
title: การสร้างโครงข่าย Bayesian โดยใช้การวิเคราะห์ความสัมพันธ์ และการประยุกต์ใช้ในการประมาณค่าสูญหาย /
DOI: 10.14457/nida.the.2006.101
title: บทบาทขององค์การบริหารส่วนตำบล ในการอนุรักษ์ทรัพยากรป่าไม้ กรณีศึกษา องค์การบริหารส่วนตำบลในพื้นที่ กิ่งอำเภอเกาะช้าง จังหวัดตราด /
DOI: 10.4225/25/56ca733b74067
title: L0046 Nepean River east

description: This job (along with L0047 Nepean River west) is for the purpose of capturing data for the Warragamba Environmental Flows Project. This project has a data delivery deadline of 8th April 2011.
DOI: 10.4225/25/56ca7348b97de
title: L0047 Nepean River west

description: This job (along with L0046 Nepean River east) is for the purpose of capturing data for the Warragamba Environmental Flows Project. This project has a data delivery deadline of 8th April 2011.
DOI: 10.4225/25/56ca7352eadda
title: L0063 Port Macquarie

description: The coverage of this dataset is over the PortMacquarie region . The C3 LAS data set contains point data in LAS 1.2 format sourced from a LiDAR ( Light Detection and Ranging ) from an ALS50 ( Airborne Laser Scanner ) sensor . The processed data has been manually edited to achieve LPI classification level 3 whereby the ground class contains minimal non-ground points such as vegetation , water , bridges , temporary features , jetties etc . Purpose: To provide fit-for-purpose elevation data for use in applications related to coastal vulnerability assessment, natural resource management ( especially water and forests) , transportation and urban planning . Additional lineage information: This data has an accuracy of 0.3m ( 95 confidence )  horizontal with a minimum point density of one laser pulse per square metre. For more information on the data's accuracy, refer to the lineage provided in the data history .
DOI: 10.4225/25/56ca736355fd1
title: L0067 RaymondTerrace

description: The coverage of this dataset is over the RaymondTerrace region . The C3 LAS data set contains point data in LAS 1.2 format sourced from a LiDAR ( Light Detection and Ranging ) from an ALS50 ( Airborne Laser Scanner ) sensor . The processed data has been manually edited to achieve LPI classification level 3 whereby the ground class contains minimal non-ground points such as vegetation , water , bridges , temporary features , jetties etc . Purpose: To provide fit-for-purpose elevation data for use in applications related to coastal vulnerability assessment, natural resource management ( especially water and forests) , transportation and urban planning . Additional lineage information: This data has an accuracy of 0.9m ( 95% confidence ) vertical and 0.8m ( 95% confidence ) horizontal with a minimum point density of one laser pulse per square metre . For more information on the data's accuracy, refer to the lineage provided in the data history .
DOI: 10.4225/25/56ca736ef1359
title: L0106 Sydney North

description: The coverage of this dataset is over the SydneyNorth region . The C3 LAS data set contains point data in LAS 1.2 format sourced from a LiDAR ( Light Detection and Ranging ) from an ALS50 ( Airborne Laser Scanner ) sensor . The processed data has been manually edited to achieve LPI classification level 3 whereby the ground class contains minimal non-ground points such as vegetation , water , bridges , temporary features , jetties etc . Purpose: To provide fit-for-purpose elevation data for use in applications related to coastal vulnerability assessment, natural resource management ( especially water and forests) , transportation and urban planning . Additional lineage information: This data has an accuracy of 0.3m ( 95 confidence )  horizontal with a minimum point density of one laser pulse per square metre. For more information on the data's accuracy, refer to the lineage provided in the data history .
DOI: 10.4225/25/56ca7379d204f
title: L0107 SydneySouth

description: The coverage of this dataset is over the SydneySouth region . The C3 LAS data set contains point data in LAS 1.2 format sourced from a LiDAR ( Light Detection and Ranging ) from an ALS50 ( Airborne Laser Scanner ) sensor . The processed data has been manually edited to achieve LPI classification level 3 whereby the ground class contains minimal non-ground points such as vegetation , water , bridges , temporary features , jetties etc . Purpose: To provide fit-for-purpose elevation data for use in applications related to coastal vulnerability assessment, natural resource management ( especially water and forests) , transportation and urban planning . Additional lineage information: This data has an accuracy of 0.9m ( 95% confidence ) vertical and 0.8m ( 95% confidence ) horizontal with a minimum point density of one laser pulse per square metre . For more information on the data's accuracy, refer to the lineage provided in the data history .
DOI: 10.4225/25/56ca7394dadbb
title: L0064 Taree

description: The coverage of this dataset is over the Taree region . The C3 LAS data set contains point data in LAS 1.2 format sourced from a LiDAR ( Light Detection and Ranging ) from an ALS50 ( Airborne Laser Scanner ) sensor . The processed data has been manually edited to achieve LPI classification level 3 whereby the ground class contains minimal non-ground points such as vegetation , water , bridges , temporary features , jetties etc . Purpose: To provide fit-for-purpose elevation data for use in applications related to coastal vulnerability assessment, natural resource management ( especially water and forests) , transportation and urban planning . Additional lineage information: This data has an accuracy of 0.3m ( 95 confidence )  horizontal with a minimum point density of one laser pulse per square metre. For more information on the data's accuracy, refer to the lineage provided in the data history .
DOI: 10.4225/25/56ca73a346c6a
title: L0108 Wollongong

description: The coverage of this dataset is over the Wollongong region . The C3 LAS data set contains point data in LAS 1.2 format sourced from a LiDAR ( Light Detection and Ranging ) from an ALS50 ( Airborne Laser Scanner ) sensor . The processed data has been manually edited to achieve LPI classification level 3 whereby the ground class contains minimal non-ground points such as vegetation , water , bridges , temporary features , jetties etc . Purpose: To provide fit-for-purpose elevation data for use in applications related to coastal vulnerability assessment, natural resource management ( especially water and forests) , transportation and urban planning . Additional lineage information: This data has an accuracy of 0.3m ( 95 confidence )  horizontal with a minimum point density of one laser pulse per square metre. For more information on the data's accuracy, refer to the lineage provided in the data history .
DOI: 10.6073/pasta/06bc89ff0dbb948b4bf8e8bfa4275298
title: Forest Increment Survey at the Kellogg Biological Station, Hickory Corners, MI  (214 to 2015)
DOI: 10.6073/pasta/6652900f2969bac1ab6c54d00bfcaf3f
title: Soil Moisture on the Main Cropping System Experiment at the Kellogg Biological Station, Hickory Corners, MI  (1989 to 2014)
DOI: 10.14457/kmitl.res.2003.1
title: การสังเคราะห์สารไฮดรอกซีแอปาไทต์ สำหรับการประยุกต์ใช้ทางการแพทย์ /
DOI: 10.14457/kmitl.res.2014.38
title: การพัฒนาแร่ดินเหนียวเหล็กออกไซด์พิลลาร์ที่มีรูพรุนขนาดนาโนสำหรับการบำบัดน้ำเสียปนเปื้อนสีย้อม
DOI: 10.14457/kmitl.res.2015.4
title: การพัฒนาวิธีการอย่างง่ายในการเจือคอปเปอร์ในแร่ดินเหนียวอะลูมิเนียมพิลลาร์ ที่มีรูพรุนขนาดนาโนสำหรับบำบัดน้ำเสียปนเปื้อนสีย้อม
DOI: 10.14457/kmutt.res.2009.56
title: การประเมินความสามารถขององค์กรเพื่อร่วมโครงการ iTAP ในเขตภาคใต้ตอนบน /
DOI: 10.14457/nida.the.2006.102
title: ประสิทธิผลของกองทุนฟื้นฟูและพัฒนาเกษตรกร /
DOI: 10.17037/data.82
title: PhyloTrack
DOI: 10.3886/e61341v1
title: Lifelong Learning Survey of Recent US College Graduates

description: The Project Information Literacy (PIL) lifelong learning survey dataset was produced as part of a two-year federally funded study on relatively recent US college graduates and their information-seeking behavior for continued learning. The goal of the survey was to collect quantitative data about the information-seeking behavior of a sample of recent graduates—the strategies, techniques, information support systems, and best practices—used to support lifelong learning in post-college life. The dataset contains responses from 1,651 respondents to a 21-item questionnaire administered between October 9, 2014 and December 15, 2014. The voluntary sample of respondents consisted of relatively recent graduates, who had completed their degrees between 2007 and 2012, from one of 10 US colleges and universities in the institutional sample. Quantitative data are included in the dataset about the learning needs of relatively recent graduates as well as the information sources they used in three arenas of their post-college lives (i.e., personal life, workplace, and the communities in which they resided). Demographic information—including age, gender, major, GPA, employment status, graduate school attendance, and geographic proximity of current residence to their alma mater—is also included in the dataset for the respondents. 
<br>
<br>"Staying Smart: How Today's Graduates Continue to Learn Once They Complete College," Alison J. Head, Project Information Literacy Research Report, Seattle: University of Washington Information School (January 5, 2016), 112 pages, 6.9 MB.
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<br>
DOI: 10.3886/e61388v1
title: Lifelong Learning Survey of Recent US College Graduates

description: The Project Information Literacy (PIL) lifelong learning survey dataset was produced as part of a two-year federally funded study on relatively recent US college graduates and their information-seeking behavior for continued learning. The goal of the survey was to collect quantitative data about the information-seeking behavior of a sample of recent graduates—the strategies, techniques, information support systems, and best practices—used to support lifelong learning in post-college life. The dataset contains responses from 1,651 respondents to a 21-item questionnaire administered between October 9, 2014 and December 15, 2014. The voluntary sample of respondents consisted of relatively recent graduates, who had completed their degrees between 2007 and 2012, from one of 10 US colleges and universities in the institutional sample. Quantitative data are included in the dataset about the learning needs of relatively recent graduates as well as the information sources they used in three arenas of their post-college lives (i.e., personal life, workplace, and the communities in which they resided). Demographic information—including age, gender, major, GPA, employment status, graduate school attendance, and geographic proximity of current residence to their alma mater—is also included in the dataset for the respondents. 
<br>
<br>"Staying Smart: How Today's Graduates Continue to Learn Once They Complete College," Alison J. Head, Project Information Literacy Research Report, Seattle: University of Washington Information School (January 5, 2016), 112 pages, 6.9 MB.
<br>
<br>
DOI: 10.3886/e61426v1
title: Lifelong Learning Survey of Recent US College Graduates

description: The Project Information Literacy (PIL) lifelong learning survey dataset was produced as part of a two-year federally funded study on relatively recent US college graduates and their information-seeking behavior for continued learning. The goal of the survey was to collect quantitative data about the information-seeking behavior of a sample of recent graduates—the strategies, techniques, information support systems, and best practices—used to support lifelong learning in post-college life. The dataset contains responses from 1,651 respondents to a 21-item questionnaire administered between October 9, 2014 and December 15, 2014. The voluntary sample of respondents consisted of relatively recent graduates, who had completed their degrees between 2007 and 2012, from one of 10 US colleges and universities in the institutional sample. Quantitative data are included in the dataset about the learning needs of relatively recent graduates as well as the information sources they used in three arenas of their post-college lives (i.e., personal life, workplace, and the communities in which they resided). Demographic information—including age, gender, major, GPA, employment status, graduate school attendance, and geographic proximity of current residence to their alma mater—is also included in the dataset for the respondents. 
<br>
<br>"Staying Smart: How Today's Graduates Continue to Learn Once They Complete College," Alison J. Head, Project Information Literacy Research Report, Seattle: University of Washington Information School (January 5, 2016), 112 pages, 6.9 MB.
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<br>
DOI: 10.6073/pasta/32d8163910a49228ebb0e0fb402538f0
title: Year 2010, 15 minute interval, water quality measurements of water column temperature, salinity, oxygen, and depth near the mouth of Plum Island Sound, Massachusetts
DOI: 10.6073/pasta/a1feaef9e191916b981aa4f9fdd5e26b
title: Resource Gradient Experiment at the Kellogg Biological Station, Hickory Corners, MI  (1999 to 2015)
DOI: 10.14457/kmitl.res.2009.35
title: การปรับปรุงโครงสร้างและฤทธิ์ทางชีวภาพของสเตียรอยด์สังเคราะห์ /
DOI: 10.14457/kmitl.res.2010.48
title: การปรับเปลี่ยนโครงสร้างของไบล์แอซิดเพื่อเพิ่มฤทธิ์ทางชีวภาพ /
DOI: 10.14457/kmitl.res.2013.22
title: ฤทธิ์การต้านออกซิเดชันของสารจากดอกดาวเรืองในประเทศไทย
DOI: 10.14457/nida.the.2006.103
title: การตระหนักและการดำเนินงานปกป้องภูมิปัญญาผ้าไหมไทย ในจังหวัดขอนแก่น /
DOI: 10.14457/nida.the.2006.104
title: ปัจจัยทางจิตสังคมที่เกี่ยวข้องกับพฤติกรรมรักนวลสงวนตัว ของนักเรียนหญิงสายอาชีวศึกษา /
DOI: 10.14457/nida.the.2006.105
title: การยอมรับประโยชน์ในการใช้เกษตรอินทรีย์ : กรณีศึกษาเกษตรกร อำเภอเมือง จังหวัดสุพรรณบุรี /
DOI: 10.14457/nida.the.2006.106
title: ทัศนะของสมาชิกต่อนิตยสารเที่ยวรอบโลก /
DOI: 10.3886/e61131v1
title: Lifelong Learning Survey of Recent US College Graduates

description: The Project Information Literacy (PIL) lifelong learning survey dataset was produced as part of a two-year federally funded study on relatively recent US college graduates and their information-seeking behavior for continued learning. The goal of the survey was to collect quantitative data about the information-seeking behavior of a sample of recent graduates—the strategies, techniques, information support systems, and best practices—used to support lifelong learning in post-college life. The dataset contains responses from 1,651 respondents to a 21-item questionnaire administered between October 9, 2014 and December 15, 2014. The voluntary sample of respondents consisted of relatively recent graduates, who had completed their degrees between 2007 and 2012, from one of 10 US colleges and universities in the institutional sample. Quantitative data are included in the dataset about the learning needs of relatively recent graduates as well as the information sources they used in three arenas of their post-college lives (i.e., personal life, workplace, and the communities in which they resided). Demographic information—including age, gender, major, GPA, employment status, graduate school attendance, and geographic proximity of current residence to their alma mater—is also included in the dataset for the respondents. 
<br>
<br>"Staying Smart: How Today's Graduates Continue to Learn Once They Complete College," Alison J. Head, Project Information Literacy Research Report, Seattle: University of Washington Information School (January 5, 2016), 112 pages, 6.9 MB.
<br>
<br>
DOI: 10.3886/e61282v1
title: Lifelong Learning Survey of Recent US College Graduates

description: The Project Information Literacy (PIL) lifelong learning survey dataset was produced as part of a two-year federally funded study on relatively recent US college graduates and their information-seeking behavior for continued learning. The goal of the survey was to collect quantitative data about the information-seeking behavior of a sample of recent graduates—the strategies, techniques, information support systems, and best practices—used to support lifelong learning in post-college life. The dataset contains responses from 1,651 respondents to a 21-item questionnaire administered between October 9, 2014 and December 15, 2014. The voluntary sample of respondents consisted of relatively recent graduates, who had completed their degrees between 2007 and 2012, from one of 10 US colleges and universities in the institutional sample. Quantitative data are included in the dataset about the learning needs of relatively recent graduates as well as the information sources they used in three arenas of their post-college lives (i.e., personal life, workplace, and the communities in which they resided). Demographic information—including age, gender, major, GPA, employment status, graduate school attendance, and geographic proximity of current residence to their alma mater—is also included in the dataset for the respondents. 
<br>
<br>"Staying Smart: How Today's Graduates Continue to Learn Once They Complete College," Alison J. Head, Project Information Literacy Research Report, Seattle: University of Washington Information School (January 5, 2016), 112 pages, 6.9 MB.
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<br>
DOI: 10.3886/e61316v1
title: Lifelong Learning Survey of Recent US College Graduates

description: The Project Information Literacy (PIL) lifelong learning survey dataset was produced as part of a two-year federally funded study on relatively recent US college graduates and their information-seeking behavior for continued learning. The goal of the survey was to collect quantitative data about the information-seeking behavior of a sample of recent graduates—the strategies, techniques, information support systems, and best practices—used to support lifelong learning in post-college life. The dataset contains responses from 1,651 respondents to a 21-item questionnaire administered between October 9, 2014 and December 15, 2014. The voluntary sample of respondents consisted of relatively recent graduates, who had completed their degrees between 2007 and 2012, from one of 10 US colleges and universities in the institutional sample. Quantitative data are included in the dataset about the learning needs of relatively recent graduates as well as the information sources they used in three arenas of their post-college lives (i.e., personal life, workplace, and the communities in which they resided). Demographic information—including age, gender, major, GPA, employment status, graduate school attendance, and geographic proximity of current residence to their alma mater—is also included in the dataset for the respondents. 
<br>
<br>"Staying Smart: How Today's Graduates Continue to Learn Once They Complete College," Alison J. Head, Project Information Literacy Research Report, Seattle: University of Washington Information School (January 5, 2016), 112 pages, 6.9 MB.
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<br>