cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3886/e107903
title: Examining the Factor Structure Underlying the TAP System for Teacher and Student Advancement

description: In this study, we investigated the factor structure underlying the TAP System for Teacher and Student Advancement using confirmatory and exploratory factor–analytic methods and under conditions of multilevel (nested) data structures and ordinal measurement scales. We found evidence of generally poor fit with the system’s posited first-order, three-factor structure with relatively large correlations among measured dimensions. Exploratory analysis suggests one to two interpretable factors, one of which accounts for the majority of explained variance (i.e., a general or common underlying factor). Higher-order modeling confirms the presence of a bifactor structure composed of a single general trait supported by one or two subscales. We use this evidence to question the validity of the inferences drawn from TAP subscale scores. We accordingly discuss implications for low- and high-stakes applications of TAP output, especially when consequential decisions are attached to subscale-level estimates (i.e., teacher compensation based on latent performance as rated through weighted subscales).
description: Data was not weighted.
description: Response Rates: Data was originally available for 1,497 classroom teachers. Data integrity issues reduced this amount to a usable 1,313 individuals (88%).
description: Presence of Common Scales: Observational Rubric Scoring: Five-option (Integer) Likert Scale (Lowest = 1, Highest = 5)<br>For each classroom teacher a total of 19 observational scores were recorded, one each for the instructional actions/components evaluated by the TAP System of Evaluation. <br>
description: coded on-site observation~~Data represents observational evaluation scores for public (non-charter) school classroom teachers in elementary, middle school, and high school settings. Data elements represent scores on a 5-option Likert scale (Integer; Low=1, High=5) across 19 observational components. Data represents evaluation ratings for 1,313 classroom teachers across 14 school districts and 54 campus locations.
description: K-12 Students, K-12 Classroom Teachers, K-12 Public Schools, United StatesSmallest Geographic Unit: Individual with school campus and district
description: District, school campus, and classroom teacher evaluation data was obtained from a state-wide public school support project which implemented the TAP teacher evaluation system. Agency (district/school) participation in the project was self-selected.
DOI: 10.3886/e107903v1
title: Examining the Factor Structure Underlying the TAP System for Teacher and Student Advancement

description: In this study, we investigated the factor structure underlying the TAP System for Teacher and Student Advancement using confirmatory and exploratory factor–analytic methods and under conditions of multilevel (nested) data structures and ordinal measurement scales. We found evidence of generally poor fit with the system’s posited first-order, three-factor structure with relatively large correlations among measured dimensions. Exploratory analysis suggests one to two interpretable factors, one of which accounts for the majority of explained variance (i.e., a general or common underlying factor). Higher-order modeling confirms the presence of a bifactor structure composed of a single general trait supported by one or two subscales. We use this evidence to question the validity of the inferences drawn from TAP subscale scores. We accordingly discuss implications for low- and high-stakes applications of TAP output, especially when consequential decisions are attached to subscale-level estimates (i.e., teacher compensation based on latent performance as rated through weighted subscales).
description: Data was not weighted.
description: Response Rates: Data was originally available for 1,497 classroom teachers. Data integrity issues reduced this amount to a usable 1,313 individuals (88%).
description: Presence of Common Scales: Observational Rubric Scoring: Five-option (Integer) Likert Scale (Lowest = 1, Highest = 5)<br>For each classroom teacher a total of 19 observational scores were recorded, one each for the instructional actions/components evaluated by the TAP System of Evaluation. <br>
description: coded on-site observation~~Data represents observational evaluation scores for public (non-charter) school classroom teachers in elementary, middle school, and high school settings. Data elements represent scores on a 5-option Likert scale (Integer; Low=1, High=5) across 19 observational components. Data represents evaluation ratings for 1,313 classroom teachers across 14 school districts and 54 campus locations.
description: K-12 Students, K-12 Classroom Teachers, K-12 Public Schools, United StatesSmallest Geographic Unit: Individual with school campus and district
description: District, school campus, and classroom teacher evaluation data was obtained from a state-wide public school support project which implemented the TAP teacher evaluation system. Agency (district/school) participation in the project was self-selected.
DOI: 10.7910/dvn/aipwnu/2hg7bl
title: beta.1_codaChain2.txt

description: :unav
DOI: 10.7910/dvn/aipwnu/8yy3es
title: inits1.txt

description: :unav
DOI: 10.7910/dvn/aipwnu/mklaob
title: waic_tool.R

description: :unav
DOI: 10.7910/dvn/aipwnu/njk3bx
title: codaIndex.txt

description: :unav
DOI: 10.7910/dvn/aipwnu/ov15yp
title: state3.txt

description: :unav
DOI: 10.7910/dvn/aipwnu/qqszcu
title: beta.0_codaChain2.txt

description: :unav
DOI: 10.7910/dvn/aipwnu/qx1kce
title: codaChain2.txt

description: :unav
DOI: 10.7910/dvn/aipwnu/wfeyll
title: stats.txt

description: :unav
DOI: 10.7910/dvn/aipwnu/xmpwvx
title: inits2.txt

description: :unav
DOI: 10.7910/dvn/flxhaz/ujkyhe
title: WTO_RTA_list_dates.tab

description: Data used to create descriptive figures in both main paper and appendix
DOI: 10.5281/zenodo.3364686
title: A Computational Theory for the Emergence of Grammatical Categories in Cortical Dynamics

description: The file <strong>Corpora.txt </strong>keeps the corpus used to train the model and the different instances of the classifier. It is basically a text file with one sentence per line from the original corpus called <strong>test.tsv</strong> available at https://github.com/google-research-datasets/wiki-split.git. We eliminated punctuation marks and special characters from the original file putting each sentence per line. <strong>Enju_Output.txt </strong>holds the outputs generated by Enju in -so mode (Output in stand-off format) using Corpora.txt as input. This file has basically a natural language English per-sentence parse with a wide-coverage probabilistic for HPSG grammar. The file <strong>Supervision.txt </strong>keeps the grammatical tags of the corpus. This file holds a tag per word and each tag is situated in a single line. Sentences are separated by one empty line while tags from words in the same sentence are located in adjacent lines. The file<strong> Word_Category.txt</strong> carries the coarse-grained word category information needed by the model and introduced in it by apical dendrites. Each word in the corpus has a word-category tag which provides additional constraints to those provided by lateral dendrites. This file contains a tag per word and each tag is situated in a single line. Sentences are separated by one empty line while tags from words in the same sentence are located in adjacent lines. The file <strong>SynSemTests.xlsx</strong> keeps all the grammar classification results as well as the statistical analysis in the classification tests.
DOI: 10.5281/zenodo.3364687
title: Grammar emergence in cortical dynamics, a computational approach

description: The file <strong>Corpora.txt</strong> keeps the corpus used to train the model and the different instances of the classifier. It is basically a text file with one sentence per line from the original corpus called test.tsv available at https://github.com/google-research-datasets/wiki-split.git from google-research-datasets/wiki-split. We eliminated punctuation marks and special characters from the original file putting each sentence per line. <strong>Enju_Output.txt</strong> holds the outputs generated by Enju in -so mode (Output in stand-off format) using Corpora.txt as input. This file has basically a natural language English per-sentence parse with a wide-coverage probabilistic for HPSG grammar. The file <strong>Supervision.txt </strong>keeps the grammatical tags of the corpus. This file holds a tag per word and each tag is situated in a single line. Sentences are separated by one empty line while tags from words in the same sentence are located in adjacent lines. The file <strong>Phonology.txt </strong>carries the phonological data needed by the model and introduced in it by apical dendrites. Each word in the corpus has a phonological tag which provides additional constraints to those provided by lateral dendrites. This file contains a phonological tag per word and each tag is situated in a single line. Sentences are separated by one empty line while tags from words in the same sentence are located in adjacent lines. The file <strong>SynSemTests.xlsx</strong> keeps all the grammar classification results as well as the statistical analysis in the classification tests.
DOI: 10.7910/dvn/aipwnu/2fpqod
title: state2.txt

description: :unav
DOI: 10.7910/dvn/aipwnu/70kjvr
title: delta.theta.0_codaIndex.txt

description: :unav
DOI: 10.7910/dvn/aipwnu/ape5jp
title: codaChain3.txt

description: :unav
DOI: 10.7910/dvn/aipwnu/f91bee
title: delta.theta.1_codaChain1.txt

description: :unav
DOI: 10.7910/dvn/aipwnu/homzw9
title: stats.0.txt

description: :unav
DOI: 10.7910/dvn/aipwnu/mkivyg
title: beta.1_codaChain3.txt

description: :unav
DOI: 10.7910/dvn/aipwnu/t11ree
title: density.odc

description: :unav
DOI: 10.7910/dvn/aipwnu/ymrtwd
title: iREDS_script.txt

description: :unav
DOI: 10.7910/dvn/aipwnu/zsokqj
title: beta.0_codaChain3.txt

description: :unav
DOI: 10.7910/dvn/fil6j1/mz7mc6
title: WHC_replication.tab

description: This is the data from WHC's paper, 'Who Inherits the State'.
DOI: 10.7910/dvn/flxhaz/1c1tym
title: trade_deforestation_DATA.tab

description: Primary dataset for analysis in both the main paper as well as the appendix
DOI: 10.7910/dvn/flxhaz/1efaf4
title: trade_deforestation_replication.R

description: Code to replicate all analysis in the main paper.
DOI: 10.7910/dvn/flxhaz/qvboqw
title: trade_deforestation_appendix.R

description: Code to replicate all analysis in the appendix.
DOI: 10.7910/dvn/flxhaz/yndgra
title: readme.rtf

description: Read me file. Contains relevant information regarding the data and code
DOI: 10.7910/dvn/aipwnu/2u7rlr
title: e_codaChain3.txt

description: :unav
DOI: 10.7910/dvn/aipwnu/3hmh8m
title: iREDS_model.txt

description: :unav
DOI: 10.7910/dvn/aipwnu/dgmoxp
title: state1.txt

description: :unav
DOI: 10.7910/dvn/aipwnu/e5rekg
title: e_codaChain1.txt

description: :unav
DOI: 10.7910/dvn/aipwnu/kygfmh
title: stats.1.txt

description: :unav
DOI: 10.7910/dvn/aipwnu/m2uomu
title: iREDS_model.txt

description: :unav
DOI: 10.7910/dvn/aipwnu/orwuwm
title: waic_tool.R

description: :unav
DOI: 10.7910/dvn/aipwnu/ynqmqs
title: stats.0.txt

description: :unav
DOI: 10.7910/dvn/aipwnu/zyijuw
title: e_codaChain2.txt

description: :unav
DOI: 10.7910/dvn/fil6j1/0nzgtm
title: putterman_data.tab

description: This is the dataset containing Putterman's data on precolonial statehood.
DOI: 10.7910/dvn/fil6j1/7invim
title: main.R

description: This is the main R script to generate the plots and make the datasets for use in Stata. Run this first.
DOI: 10.7910/dvn/fil6j1/i0pmaa
title: lange_data.tab

description: This is the dataset containing Lange's measure of indirect rule.
DOI: 10.7910/dvn/fil6j1/k0mzwl
title: hariri_data.RData

description: This is the dataset containing Hariri's imputed measure of indirect rule.
DOI: 10.7910/dvn/fil6j1/sopo1h
title: README.txt

description: This is a readme. Read this first.
DOI: 10.5284/1055125
title: Crossrail: Archaeological Investigations Conducted in Advance of Construction of the Elizabeth Line

description: The construction of Crossrail through the heart of London has resulted in one of the most extensive archaeological programmes ever undertaken in the UK. The project has given archaeologists an exceptional opportunity to record important parts of London's history. The Generic Written Scheme of Investigation (WSI) was prepared in consultation with English Heritage and relevant County and local authority archaeologists to ensure a consistent approach across the route and throughout the life of the project. One of the core objectives of the Crossrail archaeology programme was the dissemination of archaeology information to the wider archaeological community, together with a focused education and outreach programme for local communities. Years of research have been carried out to understand the impact that construction will have on the archaeology along the route. Moreover, Crossrail's archaeological team will be producing detailed reports on their findings. All the significant artefacts will be provided to the Museum of London and the Natural History Museum.
DOI: 10.7910/dvn/aipwnu/cgotrv
title: e_codaIndex.txt

description: :unav
DOI: 10.7910/dvn/aipwnu/mwvsfh
title: state.0.2.txt

description: :unav
DOI: 10.7910/dvn/aipwnu/sey6hq
title: iREDS_model.txt

description: :unav
DOI: 10.7910/dvn/fil6j1/0okoer
title: whc_rep.do

description: This generates the main models in the main body of the text. Run main.R first.
DOI: 10.7910/dvn/fil6j1/faflpx
title: WHC_replication_panel.tab

description: This is the data from WHC's paper, 'Who Inherits the State'.
DOI: 10.34725/dvn/5rnwfs
title: Replication Data for: Rubber tree allometry, biomass partitioning and carbon stocks in mountainous landscapes of sub-tropical China

description: Expansion of rubber plantations into sub-optimal environments has been a dominating land conversion in continental South-East Asia in the last decade. Regional evaluation of the carbon sequestration potential of rubber trees depends largely on the selection of suitable allometric equations and the biomass-to-carbon conversion factor. Most equations are age-, elevation-, or clone-specific, and their application therefore gives uncertain results at the landscape level with varying age groups, elevation ranges, and clone types. Currently, for rubber-based systems, none of the allometric equations takes environmental factors (e.g. climate, topographic condition, soil properties, and management scheme) into consideration to allow pan-tropical usage. Against this background, 30 rubber trees with a root profile of up to 2 m were destructively harvested and 882 rubber trees were measured non-destructively in 27 plots, covering rotation lengths of 4–35 years, elevation gradients of 621–1127 m, and locally used clone types (GT1, PRIM600, Yunyan77-4) in mountainous South Western China. Allometric equations for aboveground biomass (AGB) estimations considering diameter at breast height (DBH), tree height (H), and wood density were evaluated. We also tested goodness of fit for the recently proposed pan-tropical forest model, which includes a bioclimatic factor E, combining indices of temperature and precipitation variability and drought intensity.
DOI: 10.34725/dvn/e2eudn
title: Replication Data for Nutritional variation in baobab (Adansonia digitata L.) fruit pulp and seeds based on Africa geographical regions

description: The project was conducted to determine the nutritive attributes of baobab fruit pulp and seeds across provenances in east, west, and southern Africa and to determine whether the nutrient content varied with the provenance of origin.
DOI: 10.34725/dvn/ivmlzi
title: Trading Natural Riparian Forests for Urban Shelterbelt Plantations—A Sustainability Assessment of the Kökyar Protection Forest in NW China

description: Cities at the fringe of the Taklimakan desert in NW China are prone to dust and sand storms with serious consequences for human well-being. The Kökyar Protection Forest was established in the 1980s as an ecological engineering project with the intent of protecting the city of Aksu, NW China, from these impacts. It is designed as a combination of poplar shelterbelts and orchards, irrigated by river water from the Aksu River, the main tributary of the Tarim River. Prevalent literature describes it as an afforestation project for combatting desertification with manifold positive effects for the economic, social, and environmental dimension of sustainable development. This paper sets out to challenge these claims by a sustainability assessment in which the plantation is examined from a broader perspective, embedding it to the wider context of social and environmental problems in South Xinjiang. Methods comprise evapotranspiration calculations, interviews, a socioeconomic household survey, stakeholder dialogues, and literature research. Results affirm its economic sustainability, but see a mixed record for the social sphere. From the nature conservation point of view, it has to be classified as unsustainable because its high irrigation water consumption results in the downstream desiccation and desertification of natural riparian forests along the Tarim River, causing a forest loss in the downstream area twice the size of the forest gain in the upstream area. There is a trade-off between artificial shelterbelt plantations for urban ecosystem services on the one hand side, and natural riparian forests and their biodiversity on the other hand side. The paper recommends restricting agricultural extension, and using locally adapted less water consuming agroforestry schemes to protect urban dwellers from dust stress.
DOI: 10.34725/dvn/mp3ubk
title: Replication Data for: Seasonal differences in soil respiration and methane uptake in rubber plantation and rainforest

description: Soil respiration rates were measured in a rainforest plot and three rubber plantation plots, as two times of CH4 flux measurements in rainy season, aimed to assess the land use change impact on greenhouse gases emission. Controlling factors of temporal variation of soil respiration were determined using linear mixed effect model, and temperature sensitivity (Q10) of soil CO2 flux was calculated considering the moisture effect.
DOI: 10.34725/dvn/zyw99c
title: Soil profile pit characterization

description: Profile pits were dug and soil profiling done to classify the dominant soil types and their properties including pH, soil nutrients and calcuim exchange capacity (CEC)
DOI: 10.5281/zenodo.1256251
title: Melbourne Google Street View imagery dataset

description: The data presented in this article is related to the research article entitled "Urban design using generative adversarial networks: optimising citizen health and wellbeing" (Wijnands et al 2018). The data consists of Google Street View (Google Maps, 2017) imagery (4,473,991 images, 8-bit JPEG at 256x256 resolution) from four headings (0, 90, 180, and 270 degrees) at 1,118,534 locations in the greater metropolitan area of Melbourne, Australia. Locations were determined using the nodes of the vector lines in the PSMA Street Network dataset (PSMA 2018) and data was post-processed by removing indoor images. Please cite this paper if you use the dataset. The data is broken up into four archives, 000.zip, 090.zip, 180.zip, and 270.zip, containing the imagery from each compass heading. A csv file (contained in MelbourneStreetViewImagesData.zip) provides a mapping between the filenames, location names, direction, latitude, and longitude.
description: {"references": ["Google Maps, 2017. Google Street View API, Available from https://developers.google.com/maps/documentation/streetview/.", "PSMA Australia Limited, 2018. PSMA Street Network (August 2017); accessed from AURIN Portal on 2018-02-28.", "Wijnands, J. S. and Nice, K. A. and Thompson, J. and Zhao, H. and Stevenson, M. (2018). Urban design using generative adversarial networks: optimising citizen health and wellbeing. In preparation."]}
DOI: 10.5281/zenodo.1256252
title: Melbourne Google Street View imagery dataset

description: The data presented in this article is related to the research article entitled "Urban design using generative adversarial networks: optimising citizen health and wellbeing" (Wijnands et al 2018). The data consists of Google Street View (Google Maps, 2017) imagery (4,473,991 images, 8-bit JPEG at 256x256 resolution) from four headings (0, 90, 180, and 270 degrees) at 1,118,534 locations in the greater metropolitan area of Melbourne, Australia. Locations were determined using the nodes of the vector lines in the PSMA Street Network dataset (PSMA 2018) and data was post-processed by removing indoor images. Please cite this paper if you use the dataset. The data is broken up into four archives, 000.zip, 090.zip, 180.zip, and 270.zip, containing the imagery from each compass heading. A csv file (contained in MelbourneStreetViewImagesData.zip) provides a mapping between the filenames, location names, direction, latitude, and longitude.
description: {"references": ["Google Maps, 2017. Google Street View API, Available from https://developers.google.com/maps/documentation/streetview/.", "PSMA Australia Limited, 2018. PSMA Street Network (August 2017); accessed from AURIN Portal on 2018-02-28.", "Wijnands, J. S. and Nice, K. A. and Thompson, J. and Zhao, H. and Stevenson, M. (2018). Urban design using generative adversarial networks: optimising citizen health and wellbeing. In preparation."]}
DOI: 10.17632/532knd8cy8.1
title: Data for: Bio-extraction of Phosphorus from Goethite Ore with Alkali Addition
DOI: 10.34725/dvn/fnvtbd
title: CAFHUT Household Baseline

description: This study consists of sex-disaggregated data and other related materials generated as part of the Sentinel Landscapes Network household survey baseline in CAFHUT sentinel site in Cameroon. A total of 935 households were surveyed on May, June, August and December 2014, November and December 2015, January 2016 from 38 villages namely: Mbang_2, Nkolmveng, Ndelle, Yebe, Mekouma, Ngoumesseng, Nsan_Ii, Bifos, Niamvoudou, Abeng_Nnam, Ngola Baka, Kongo, Ngola Nzime, Achip_2, Eschiambor, Moanguele_Bosquet, Nemeyong_Iii, Mayang, Melene, Doumzok_2, Assok, Akom, Ekombitie, Nkolkoumou, Bite, Mboutoukong, Nkolfong, Lele, Tobagne, Yorro, Kedia, Bongando, Yangben, Batanga, Bakoa, Bougnougoulouck, Tchekos, Ossimb 1. The data consists of information on household demographics, migration, education, asset ownership, income sources, household food security, progress out of poverty, crop production and sales, livestock products, participation in credit markets, social networks, and natural resource use. In compliance with the CGIAR protocol on collecting sex-disaggregated data, approximately 50% of the respondents interviewed were women. Before downloading any of the files, particularly the data files, please download and read the ’Sentinel Landscapes Network Disclaimer and Terms of Use’ file.
DOI: 10.34725/dvn/frvhox
title: Phenology scores

description: Leafing phenology (leaf flush and fall) scores were recorded for the period between Dec 2012 and March 2016
DOI: 10.34725/dvn/ic2l9j
title: Western Amazon SL Calculated Household Indicators

description: Calculated household indicators for the Western Amazon sentinel landscape
DOI: 10.34725/dvn/icqnzt
title: Delineation of Cocoa Agroforests Using Multi-spectral optical image of RapidEye

description: The main aim of the study was to discriminate cocoa agroforest from transition forest cover using a multi-spectral optical image of RapidEye, which was recorded in January 2015. The data consist pre-processed image stack of the Top of Atmosphere (ToA) reflectances for the five (5) spectral bands: Blue, Green, Red, RedEdge and Near-infrared image bands. Field inventory was conducted from 2015 to 2017 to map cocoa agroforests and other vegetation and non-vegetation land cover. in the forest-savannah transition landscape in Bokito, Centre Cameroon. The dataset consists of geospatial data (shapefiles) of the land cover and land use in the study landscape.