cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.19668855
title: Microeukaryotic Protein Database (VDB_Microeukaryotic_v1)

description: Version: VDB_Microeukaryotic_v1 <br> Contains 4 files: -rw-r--r-- 1 jespinoz staff 10G Apr 18 19:46 reference.rmdup.iupac.relabeled.no_deprecated.complete_lineage.faa.gz -rw-r--r-- 1 jespinoz staff 167M Apr 18 19:40 target_to_source.dict.pkl.gz -rw-r--r-- 1 jespinoz staff 605K Apr 18 19:40 source_to_lineage.dict.pkl.gz -rw-r--r-- 1 jespinoz staff 542K Apr 18 19:42 source_taxonomy.tsv.gz <br> * The main fasta protein file which is the dereplicated combination of NR (only protista and fungus), MMETSP, EukZoo, and EukProt. Only complete lineages are included since this is partially used for classification. <br> * .pkl.gz are <sub>Python gzipped pickled dictionaries</sub>. * target_to_source.dict.pkl.gz has mapping between identifiers in fasta file and the original source * source_to_lineage.dict.pkl.gz has the mapping between source identifiers and lineage strings (e.g., c__Aconoidasida;o__Haemosporida;f__Haemoproteidae;g__Haemoproteus;s__Haemoproteus sp. hCWT4) * source_taxonomy.tsv.gz has the taxonomy for each source identifier <br> <strong>Citation:</strong> * Espinoza, J.L., Dupont, C.L. VEBA: a modular end-to-end suite for in silico recovery, clustering, and analysis of prokaryotic, microeukaryotic, and viral genomes from metagenomes. BMC Bioinformatics 23, 419 (2022). https://doi.org/10.1186/s12859-022-04973-8 * Espinoza, Josh (2022): Microeukaryotic Protein Database. figshare. Dataset. https://doi.org/10.6084/m9.figshare.19668855.v1
DOI: 10.6084/m9.figshare.21761420.v1
title: The data for simulating of Typhoon Lekima (2019)

description: This dataset contains the necessary files for replicating the experiments of Typhoon Lekima (2019) with warm and relatively cooler sea surface temperatures.
DOI: 10.6084/m9.figshare.16987918
title: Non-instrumental information and decisions under risk

description: Further information is available at GitHub (<b>https://github.com/julian-matthews/information-availability-risk</b>)<br><br>Here we provide R code and complete trial-by-trial data supporting our study of non-instrumental information availability and risky decision-making. <br><br>Code description<b>exp1_stats.R</b>: statistics for Experiment 1<b>exp2_stats.R</b>: statistics for Experiment 2<b>exp3_stats.R</b>: statistics for Experiment 3<b>group_stats.R</b>: pooled statistics including data from all experiments<b>information-model-comparison.R</b>: model comparison and boostrap simulations<br><b>Data description</b>Behavioural data<b>exp_version</b>: the experiment in our study; EXP1, EXP2, or EXP3<b>subject_num</b>: the unique ID for each of 71 participant across out experiments<b>trial_num</b>: the trial number from 1 to 180information: non-instrumental information availability, reflected in the number of slots with veridical information from 0 to 5<b>stake</b>: the amount of money that can be won or lost on the trial. Fixed at 50 cents for EXP1. Varies from 10 to 50 cents (in 10 cent increments) for EXP2 and EXP3.<b>decision</b>: whether the gamble was accepted (1) or rejected (0). Coded (NA) if no response was made within the 5 second response window.reaction_time: the amount of time it took to make a decision<b>outcome</b>: the predetermined outcome of the gamble (if the participants chooses to accept)<b>early_late</b>: in EXP3 only, whether information was available at the earliest or latest opportunity (analysed for information levels 1:4)<br>Modeling data<b>exp_version</b>: as above<b>subject_num</b>: as above<b>trial_num</b>: as above<b>information</b>: as above<b>decision</b>: as above<b>mod2_linear</b>: information value in model 2<b>mod3_entropy</b>: information value in model 3<b>mod4_res_uncertainty</b>: information value in model 4
DOI: 10.6084/m9.figshare.16987918.v3
title: Non-instrumental information and decisions under risk

description: Further information is available at GitHub (<b>https://github.com/julian-matthews/information-availability-risk</b>)<br><br>Here we provide R code and complete trial-by-trial data supporting our study of non-instrumental information availability and risky decision-making. <br><br>Code description<b>exp1_stats.R</b>: statistics for Experiment 1<b>exp2_stats.R</b>: statistics for Experiment 2<b>exp3_stats.R</b>: statistics for Experiment 3<b>group_stats.R</b>: pooled statistics including data from all experiments<b>information-model-comparison.R</b>: model comparison and boostrap simulations<br><b>Data description</b>Behavioural data<b>exp_version</b>: the experiment in our study; EXP1, EXP2, or EXP3<b>subject_num</b>: the unique ID for each of 71 participant across out experiments<b>trial_num</b>: the trial number from 1 to 180information: non-instrumental information availability, reflected in the number of slots with veridical information from 0 to 5<b>stake</b>: the amount of money that can be won or lost on the trial. Fixed at 50 cents for EXP1. Varies from 10 to 50 cents (in 10 cent increments) for EXP2 and EXP3.<b>decision</b>: whether the gamble was accepted (1) or rejected (0). Coded (NA) if no response was made within the 5 second response window.reaction_time: the amount of time it took to make a decision<b>outcome</b>: the predetermined outcome of the gamble (if the participants chooses to accept)<b>early_late</b>: in EXP3 only, whether information was available at the earliest or latest opportunity (analysed for information levels 1:4)<br>Modeling data<b>exp_version</b>: as above<b>subject_num</b>: as above<b>trial_num</b>: as above<b>information</b>: as above<b>decision</b>: as above<b>mod2_linear</b>: information value in model 2<b>mod3_entropy</b>: information value in model 3<b>mod4_res_uncertainty</b>: information value in model 4
DOI: 10.6084/m9.figshare.16987918.v2
title: Non-instrumental information and decisions under risk

description: Further information is available at GitHub (<b>https://github.com/julian-matthews/information-availability-risk</b>)<br><br>Here we provide R code and complete trial-by-trial data supporting our study of non-instrumental information availability and risky decision-making. <br><br>Code description<b>exp1_stats.R</b>: statistics for Experiment 1<b>exp2_stats.R</b>: statistics for Experiment 2<b>exp3_stats.R</b>: statistics for Experiment 3<b>group_stats.R</b>: pooled statistics including data from all experiments<b>information-model-comparison.R</b>: model comparison and boostrap simulations<br><b>Data description</b>Behavioural data<b>exp_version</b>: the experiment in our study; EXP1, EXP2, or EXP3<b>subject_num</b>: the unique ID for each of 71 participant across out experiments<b>trial_num</b>: the trial number from 1 to 180information: non-instrumental information availability, reflected in the number of slots with veridical information from 0 to 5<b>stake</b>: the amount of money that can be won or lost on the trial. Fixed at 50 cents for EXP1. Varies from 10 to 50 cents (in 10 cent increments) for EXP2 and EXP3.<b>decision</b>: whether the gamble was accepted (1) or rejected (0). Coded (NA) if no response was made within the 5 second response window.reaction_time: the amount of time it took to make a decision<b>outcome</b>: the predetermined outcome of the gamble (if the participants chooses to accept)<b>early_late</b>: in EXP3 only, whether information was available at the earliest or latest opportunity (analysed for information levels 1:4)<br>Modeling data<b>exp_version</b>: as above<b>subject_num</b>: as above<b>trial_num</b>: as above<b>information</b>: as above<b>decision</b>: as above<b>mod2_linear</b>: information value in model 2<b>mod3_entropy</b>: information value in model 3<b>mod4_res_uncertainty</b>: information value in model 4
DOI: 10.5281/zenodo.7466039
title: PERTEMUAN PERTAMA_22 DESEMBER 2022_PENJELASAN RENCANA PEMBELASAN SEMESTER DAN KONTRAK KULIAH PERPAJAKAN_UNIVERSITAS WIJAYA PUTRA PREGEN_JAM 18.15-21.00

description: <strong>Capaian Pembelajaran Mata Kulaih (CPMK)</strong> Mahasiswa diharapkan mampu Menjelaskan pengertian dan dasar hukum PPh; Subjek, Objek PPh, menghitung Penghasilan Kena Pajak serta PPh Terhutang; pengertian, penghitungan Pemotongan/ Pemungutan PPh dalam tahun berjalan dan pengkreditannya serta pengertian dan penghitungan PPh Final; Menjelaskan dan menghitung PPh Terhutang serta PPh Yang Masih Harus Dibayar. Menjelaskan dasar hukum PPN dan PPn BM, pengertian dan karakteritik PPN dan PPn BM; Menjelaskan Objek PPN dan PPn BM, Pengusaha Kena Pajak dan mampu menghitung Dasar Pengenaan Pajak (DPP); Menjelaskan tarif PPN /PPn BM dan penggunaannya dalam rangka menghitung PPN/ PPn BM Terhutang; Menjelaskan pengertian Pajak Masukan dan Pajak Keluaran serta cara pengkreditannya dalam rangka menghitung PPN Yang Masih Harus (atau Lebih)
description: PERTEMUAN PERTAMA_22 DESEMBER 2022_PENJELASAN RENCANA PEMBELASAN SEMESTER DAN KONTRAK KULIAH PERPAJAKAN_UNIVERSITAS WIJAYA PUTRA PREGEN_JAM 18.15-21.00
DOI: 10.5281/zenodo.7466038
title: PERTEMUAN PERTAMA_22 DESEMBER 2022_PENJELASAN RENCANA PEMBELASAN SEMESTER DAN KONTRAK KULIAH PERPAJAKAN_UNIVERSITAS WIJAYA PUTRA PREGEN_JAM 18.15-21.00

description: <strong>Capaian Pembelajaran Mata Kulaih (CPMK)</strong> Mahasiswa diharapkan mampu Menjelaskan pengertian dan dasar hukum PPh; Subjek, Objek PPh, menghitung Penghasilan Kena Pajak serta PPh Terhutang; pengertian, penghitungan Pemotongan/ Pemungutan PPh dalam tahun berjalan dan pengkreditannya serta pengertian dan penghitungan PPh Final; Menjelaskan dan menghitung PPh Terhutang serta PPh Yang Masih Harus Dibayar. Menjelaskan dasar hukum PPN dan PPn BM, pengertian dan karakteritik PPN dan PPn BM; Menjelaskan Objek PPN dan PPn BM, Pengusaha Kena Pajak dan mampu menghitung Dasar Pengenaan Pajak (DPP); Menjelaskan tarif PPN /PPn BM dan penggunaannya dalam rangka menghitung PPN/ PPn BM Terhutang; Menjelaskan pengertian Pajak Masukan dan Pajak Keluaran serta cara pengkreditannya dalam rangka menghitung PPN Yang Masih Harus (atau Lebih)
description: PERTEMUAN PERTAMA_22 DESEMBER 2022_PENJELASAN RENCANA PEMBELASAN SEMESTER DAN KONTRAK KULIAH PERPAJAKAN_UNIVERSITAS WIJAYA PUTRA PREGEN_JAM 18.15-21.00
DOI: 10.5281/zenodo.7466089
title: RENCANA PEMBELAJARAN SEMESTER, KONTRAK KULIAH PERPAJAKAN UNIVERSITAS WIJAYA PUTRA PRIGEN 22 DESEMBER 2022

description: <strong>KATA PENGANTAR</strong> Puji syukur kehadirat ALLAH S.W.T yang telah melimpahkan rahmat, taufiq, dan hidayahnya, sehingga penulis dapat menyelesaikan Buku Pedoman ini dengan judul <strong>“Rencana Pembelajaran Semester (RPS)</strong><strong>, </strong><strong>Rencana Pelaksanaan Pembelajaran (RPP)</strong><strong>, </strong><strong>Kontrak Kuliah</strong> <strong>Perpajakan”</strong>. Buku pedoman ini disusun sebagai salah satu syarat untuk mengajar di Fakultas Ekonomi Dan Bisnis, Universitas Wijaya Putra. Penulis menyadari bahwa dalam penyusunan Buku Rancangan Pedoman ini tidak akan selesai tanpa bantuan dari berbagai pihak. Oleh karena itu dalam kesempatan ini penulis mengucapkan terima kasih yang sebesar-besarnya kepada yang terhormat: Rektor Universitas Wijaya Putra. Direktur Program Sarjana Universitas Wijaya Putra. Bapak dan Ibu Dosen serta seluruh Staf Pengajar Fakultas Ekonomi Dan Bisnis yang telah memberi masukan dalam menyelesaikan penulisan buku pedoman ini dengan baik. Semua pihak yang tidak dapat penulis sebut satu persatu yang telah membantu dan memberikan informasi dalam penyelesaian penulisan buku pedoman ini. Penulis menyadari buku pedoman ini tidak luput dari berbagai kekurangan. Penulis mengharapkan saran dan kritik demi kesempurnaan dan perbaikannya sehingga buku pedoman ini dapat memberikan manfaat bagi bidang pendidikan dan penerapan dilapangan serta bisa dikembangkan lebih lanjut. Surabaya, 22 Desember 2022 Penulis <strong>Dr. Rusdiyanto, SE,. M. Ak,. CH,. CHt</strong>
description: RENCANA PEMBELAJARAN SEMESTER, KONTRAK KULIAH PERPAJAKAN UNIVERSITAS WIJAYA PUTRA PRIGEN 22 DESEMBER 2022
DOI: 10.5281/zenodo.7466088
title: RENCANA PEMBELAJARAN SEMESTER, KONTRAK KULIAH PERPAJAKAN UNIVERSITAS WIJAYA PUTRA PRIGEN 22 DESEMBER 2022

description: <strong>KATA PENGANTAR</strong> Puji syukur kehadirat ALLAH S.W.T yang telah melimpahkan rahmat, taufiq, dan hidayahnya, sehingga penulis dapat menyelesaikan Buku Pedoman ini dengan judul <strong>“Rencana Pembelajaran Semester (RPS)</strong><strong>, </strong><strong>Rencana Pelaksanaan Pembelajaran (RPP)</strong><strong>, </strong><strong>Kontrak Kuliah</strong> <strong>Perpajakan”</strong>. Buku pedoman ini disusun sebagai salah satu syarat untuk mengajar di Fakultas Ekonomi Dan Bisnis, Universitas Wijaya Putra. Penulis menyadari bahwa dalam penyusunan Buku Rancangan Pedoman ini tidak akan selesai tanpa bantuan dari berbagai pihak. Oleh karena itu dalam kesempatan ini penulis mengucapkan terima kasih yang sebesar-besarnya kepada yang terhormat: Rektor Universitas Wijaya Putra. Direktur Program Sarjana Universitas Wijaya Putra. Bapak dan Ibu Dosen serta seluruh Staf Pengajar Fakultas Ekonomi Dan Bisnis yang telah memberi masukan dalam menyelesaikan penulisan buku pedoman ini dengan baik. Semua pihak yang tidak dapat penulis sebut satu persatu yang telah membantu dan memberikan informasi dalam penyelesaian penulisan buku pedoman ini. Penulis menyadari buku pedoman ini tidak luput dari berbagai kekurangan. Penulis mengharapkan saran dan kritik demi kesempurnaan dan perbaikannya sehingga buku pedoman ini dapat memberikan manfaat bagi bidang pendidikan dan penerapan dilapangan serta bisa dikembangkan lebih lanjut. Surabaya, 22 Desember 2022 Penulis <strong>Dr. Rusdiyanto, SE,. M. Ak,. CH,. CHt</strong>
description: RENCANA PEMBELAJARAN SEMESTER, KONTRAK KULIAH PERPAJAKAN UNIVERSITAS WIJAYA PUTRA PRIGEN 22 DESEMBER 2022
DOI: 10.15468/t9bmdv
title: A Checklist of Plants held in the Lagos State University Herbarium, Ojo, Lagos, Nigeria

description: This is a checklist of plants deposited in the Lagos State University Herbarium, Ojo, Lagos, Nigeria
DOI: 10.34740/kaggle/dsv/4751658
title: 💥📰 Daily Breaking News Twitter Dataset
DOI: 10.34740/kaggle/dsv/4751664
title: 🇺🇦 Ukraine Conflict Twitter Dataset
DOI: 10.15468/ugrnke
title: A checklist of Plants growing in Ibeju Lekki Wetlands, Lagos, Nigeria

description: This is a checklist of plants growing in wetlands around Ibeju Lekki Local Government Area, Lagos, Nigeria.
DOI: 10.6084/m9.figshare.21761975
title: fuzzy output values

description: fuzzy output values
DOI: 10.6084/m9.figshare.21761975.v2
title: fuzzy output values

description: fuzzy output values
DOI: 10.6084/m9.figshare.21761975.v1
title: Untitled Item

description: fuzzy output values
DOI: 10.5281/zenodo.7455623
title: Blog-1K

description: The Blog-1K corpus is a redistributable authorship identification testbed for contemporary English prose. It has 1,000 candidate authors, 16K+ posts, and a pre-defined data split (train/dev/test proportional to ca. 8:1:1). It is a subset of the Blog Authorship Corpus from Kaggle. The MD5 for Blog-1K is '0a9e38740af9f921b6316b7f400acf06'. 1. Preprocessing We first filter out texts shorter than 1,000 characters. Then we select one thousand authors whose writings meet the following criteria:<br> - accumulatively at least 10,000 characters,<br> - accumulatively at most 49,410 characters,<br> - accumulatively at least 16 posts,<br> - accumulatively at most 40 posts, and <br> - each text has at least 50 function words found in the Koppel512 list (to filter out non-English prose). Blog-1K has three columns: 'id', 'text', and 'split', where 'id' corresponds to its parent corpus. 2. Statistics Its creation and statistics can be found in the Jupyter Notebook. Split # Authors # Posts # Characters Avg. Characters Per Author (Std.) Avg. Characters Per Post (Std.) Train 1,000 16,132 30,092,057 30,092 (5,884) 1,865 (1,007) Validation 935 2,017 3,755,362 4,016 (2,269) 1,862 (999) Test 924 2,017 3,732,448 4,039 (2,188) 1,850 (936) <br> 3. Usage <pre><code class="language-python">import pandas as pd df = pd.read_csv('blog1000.csv.gz', compression='infer') # read in training data train_text, train_label = zip(*df.loc[df.split=='train'][['text', 'id']].itertuples(index=False))</code></pre> 4. License<br> All the materials is licensed under the ISC License. <br> 5. Contact<br> Please contact its maintainer for questions.
DOI: 10.5281/zenodo.7455622
title: Blog-1K

description: The Blog-1K corpus is a redistributable authorship identification testbed for contemporary English prose. It has 1,000 candidate authors, 16K+ posts, and a pre-defined data split (train/dev/test proportional to ca. 8:1:1). It is a subset of the Blog Authorship Corpus from Kaggle. The MD5 for Blog-1K is '0a9e38740af9f921b6316b7f400acf06'. 1. Preprocessing We first filter out texts shorter than 1,000 characters. Then we select one thousand authors whose writings meet the following criteria:<br> - accumulatively at least 10,000 characters,<br> - accumulatively at most 49,410 characters,<br> - accumulatively at least 16 posts,<br> - accumulatively at most 40 posts, and <br> - each text has at least 50 function words found in the Koppel512 list (to filter out non-English prose). Blog-1K has three columns: 'id', 'text', and 'split', where 'id' corresponds to its parent corpus. 2. Statistics Its creation and statistics can be found in the Jupyter Notebook. Split # Authors # Posts # Characters Avg. Characters Per Author (Std.) Avg. Characters Per Post (Std.) Train 1,000 16,132 30,092,057 30,092 (5,884) 1,865 (1,007) Validation 935 2,017 3,755,362 4,016 (2,269) 1,862 (999) Test 924 2,017 3,732,448 4,039 (2,188) 1,850 (936) <br> 3. Usage <pre><code class="language-python">import pandas as pd df = pd.read_csv('blog1000.csv.gz', compression='infer') # read in training data train_text, train_label = zip(*df.loc[df.split=='train'][['text', 'id']].itertuples(index=False))</code></pre> 4. License<br> All the materials is licensed under the ISC License. <br> 5. Contact<br> Please contact its maintainer for questions.
DOI: 10.5281/zenodo.7432048
title: Wikidata Dump test

description: RDF dump of wikidata produced with wdumper.<br>View on wdumper<b>entity count<b>: 0, <b>statement count</b>: 0, <b>triple count</b>: 0</b></b>
DOI: 10.5281/zenodo.7432047
title: Wikidata Dump test

description: RDF dump of wikidata produced with wdumper.<br>View on wdumper<b>entity count<b>: 0, <b>statement count</b>: 0, <b>triple count</b>: 0</b></b>
DOI: 10.5281/zenodo.7432050
title: Wikidata Dump test

description: RDF dump of wikidata produced with wdumper.<br>View on wdumper<b>entity count<b>: 0, <b>statement count</b>: 0, <b>triple count</b>: 0</b></b>
DOI: 10.5281/zenodo.7432049
title: Wikidata Dump test

description: RDF dump of wikidata produced with wdumper.<br>View on wdumper<b>entity count<b>: 0, <b>statement count</b>: 0, <b>triple count</b>: 0</b></b>
DOI: 10.5281/zenodo.7449262
title: Wikidata Dump Wikidata_human

description: RDF dump of wikidata produced with wdumper.<br>View on wdumper<b>entity count<b>: 0, <b>statement count</b>: 0, <b>triple count</b>: 38</b></b>
DOI: 10.5281/zenodo.7449261
title: Wikidata Dump Wikidata_human

description: RDF dump of wikidata produced with wdumper.<br>View on wdumper<b>entity count<b>: 0, <b>statement count</b>: 0, <b>triple count</b>: 38</b></b>
DOI: 10.15468/csj9xy
title: Checklist of medicinal plants used in treating snakebites in Benue State, Nigeria

description: This is a checklist of medicinal plants used by indigenous people in Benue state, Nigeria for the treatment of snake bites.
DOI: 10.5517/ccdc.csd.cc28n458
title: CCDC 2104719: Experimental Crystal Structure Determination

description: Related Article: Long Chen, Cong Shi, Wei Li, Bo Li, Jie Zhu, Aijun Lin, Hequan Yao|2022|Org.Lett.|24|9157|doi:10.1021/acs.orglett.2c04017
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc28n48c
title: CCDC 2104722: Experimental Crystal Structure Determination

description: Related Article: Long Chen, Cong Shi, Wei Li, Bo Li, Jie Zhu, Aijun Lin, Hequan Yao|2022|Org.Lett.|24|9157|doi:10.1021/acs.orglett.2c04017
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.15468/26x9sf
title: An inventory of Yoruba useful angiosperms in South West Nigeria

description: A species checklist comprising an inventory of Yoruba useful angiosperms in South West Nigeria.
DOI: 10.6084/m9.figshare.21762485
title: Range use, fearfulness and curiosity test data

description: Individual hen assessments of fear via novel object (NO) and novel arena (NA) tests. Individual ranging behaivour data assessed via Radio Frequency Identification technology. 8-arm radial maze data assessing inquisitive exploration through habituation round 1 and 2 the test with the ambigious arms (AMB) open during the last four minutes of the test.
DOI: 10.6084/m9.figshare.21762485.v1
title: Range use, fearfulness and curiosity test data

description: Individual hen assessments of fear via novel object (NO) and novel arena (NA) tests. Individual ranging behaivour data assessed via Radio Frequency Identification technology. 8-arm radial maze data assessing inquisitive exploration through habituation round 1 and 2 the test with the ambigious arms (AMB) open during the last four minutes of the test.
DOI: 10.34740/kaggle/dsv/4751911
title: Flipkart products dataset
DOI: 10.6084/m9.figshare.21751229
title: Data.xlsx

description: Data from mice with reduced masticatory stimulation
DOI: 10.6084/m9.figshare.21751229.v1
title: Data.xlsx

description: Data from mice with reduced masticatory stimulation
DOI: 10.3886/e155186v1
title: LIFE-M: The Longitudinal, Intergenerational Family Electronic Micro-Database

description: The LIFE-M project combines of U.S. vital records (birth, marriage, death certificates) with census information into longitudinal and intergenerational micro-data. Using cutting-edge, machine learning techniques, the resulting dataset consists of four generations and millions of high-quality links for 20th century Americans. <br><br>For more details about the project, check out the website (https://life-m.org/). <br><br>Additionally, these data can be linked to the LIFE-M Ohio Causes of Death Project (https://doi.org/10.3886/E149841). <br><br>
description: Please see Bailey, Cole and Massey (2019) for a step-by-step process to create weights for specific subsamples and purposes, which help adjust the samples for under- or over-representation of certain subgroups or characteristics.
description: Response Rates: Linkage rates are posted on our website (https://life-m.org/).
description: The core sample of birth records are from people born in Ohio and North Carolina between 1900 and 1929. See our website (https://life-m.org/) for more information about how records are linked.
description: other;