cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.13907718
title: Training word vectors on text from The Physics Teacher using Word2Vec

description: This notebook and dataset allows one to play around with word vectors trained on text from articles in the journal The Physics Teacher published between 1963 (the start of publication) and 2020, around 15000 articles in total.

The primary datafile, "TPT_word2vec_words_bigrams_V1.pkl", is a list of cleaned text from these articles. It contains a list, within which each paper is a sub-list. Each sentence in that paper is yet another sub-list which contains the words in that sentence in order. However, in the data cleaning process we have removed “stop words” (like if, and, but, etc.), punctuation, symbols, and numbers, as well as lowercased all words and combined words that frequently go together into one (like “high” and "school” to “high_school”). Here is an example of 3 sentences taken from a random paper:  [['magnet', 'spin',  'tape',  'magnetize',  'strongly',  'time',  'pole',  'approach'],['magnet',  'place',  'center',  'counterweight',  'period',  'magnetize',  'pulse',  'twice',  'long'],['trial', 'tape', 'examine', 'sprinkle_iron', 'filing', 'length'], ... ]

In the notebook, we create a set of word vectors from these sentences using the Word2Vec technique, first published by Mikolov et al. (2013):

Mikolov, T., Chen, K., Corrado, G., & Dean, J. (2013). Efficient Estimation of Word Representations in Vector Space (No. arXiv:1301.3781). arXiv. https://doi.org/10.48550/arXiv.1301.3781

The notebook includes code for both loading in word vectors from a trained model (also included, "TPT_word2vec.model") and creating the same model from the TPT text dataset. Note that word vectors are randomly initialized, so we include a random seed to make this training replicable. Changing the seed will alter some of the results (although the changes seem fairly minor).

With a trained model, we demonstrate some applications of word vectors: adding and subtracting meanings (for example "experiment" - "uncertainty" = "demonstration") and visualizing low-dimensional representations of word vectors.

In order to install the required packages, you can use the requirements.txt file.  If using pip, run "pip install requirements.txt". Or, if using Anaconda (recommended), you can use "conda install --file requirements.txt". You will also need the software to run jupyter notebooks, which can be installed with Anaconda or pip.
DOI: 10.5281/zenodo.13907719
title: Training word vectors on text from The Physics Teacher using Word2Vec

description: This notebook and dataset allows one to play around with word vectors trained on text from articles in the journal The Physics Teacher published between 1963 (the start of publication) and 2020, around 15000 articles in total.

The primary datafile, "TPT_word2vec_words_bigrams_V1.pkl", is a list of cleaned text from these articles. It contains a list, within which each paper is a sub-list. Each sentence in that paper is yet another sub-list which contains the words in that sentence in order. However, in the data cleaning process we have removed “stop words” (like if, and, but, etc.), punctuation, symbols, and numbers, as well as lowercased all words and combined words that frequently go together into one (like “high” and "school” to “high_school”). Here is an example of 3 sentences taken from a random paper:  [['magnet', 'spin',  'tape',  'magnetize',  'strongly',  'time',  'pole',  'approach'],['magnet',  'place',  'center',  'counterweight',  'period',  'magnetize',  'pulse',  'twice',  'long'],['trial', 'tape', 'examine', 'sprinkle_iron', 'filing', 'length'], ... ]

In the notebook, we create a set of word vectors from these sentences using the Word2Vec technique, first published by Mikolov et al. (2013):

Mikolov, T., Chen, K., Corrado, G., & Dean, J. (2013). Efficient Estimation of Word Representations in Vector Space (No. arXiv:1301.3781). arXiv. https://doi.org/10.48550/arXiv.1301.3781

The notebook includes code for both loading in word vectors from a trained model (also included, "TPT_word2vec.model") and creating the same model from the TPT text dataset. Note that word vectors are randomly initialized, so we include a random seed to make this training replicable. Changing the seed will alter some of the results (although the changes seem fairly minor).

With a trained model, we demonstrate some applications of word vectors: adding and subtracting meanings (for example "experiment" - "uncertainty" = "demonstration") and visualizing low-dimensional representations of word vectors.

In order to install the required packages, you can use the requirements.txt file.  If using pip, run "pip install requirements.txt". Or, if using Anaconda (recommended), you can use "conda install --file requirements.txt". You will also need the software to run jupyter notebooks, which can be installed with Anaconda or pip.
DOI: 10.17632/g4zzrg8ws7.1
title: The Nexus Between Debt Servicing and Foreign Exchange Rate Unification In Nigeria

description: This study examined the relationship between debt servicing and foreign exchange rate unification in Nigeria from 1995 to 2023, hypothesizing that a unified exchange rate policy would significantly impact the country's debt service-to-revenue ratio. Using annual time series data from sources such as the International Monetary Fund and World Development Indicators, the study employed an Autoregressive Distributed Lag (ARDL) model to analyze the relationship between the debt service-to-revenue ratio and factors including the official foreign exchange rate, GDP growth rate, inflation rate, and oil prices. The findings revealed several notable insights. Exchange rate unification was found to have a significant negative effect on the debt service-to-revenue ratio, suggesting that a unified exchange rate policy could help reduce Nigeria's debt service burden. Both current and lagged inflation rates showed a significant negative impact on the debt service-to-revenue ratio, indicating that higher inflation might be eroding the real value of debt or increasing nominal revenues faster than debt servicing costs. Lagged exchange rates were found to negatively affect the debt service-to-revenue ratio, implying that higher exchange rates in the previous period decrease the current ratio. Oil prices demonstrated mixed effects, with current prices positively impacting the debt service-to-revenue ratio while lagged prices had a negative effect. The study also revealed strong persistence in debt servicing behavior over time, as evidenced by the significant positive correlation between current and previous year's debt service ratios. These results offer significant implications for policymakers. The negative effect of exchange rate unification on the debt service-to-revenue ratio suggests that such a policy could improve efficiency in forex markets and reduce arbitrage opportunities, ultimately helping to reduce the debt service burden. The negative relationship between inflation and the debt service-to-revenue ratio indicates that higher inflation might be beneficial for debt servicing in the short term, though this should be interpreted cautiously given the potential negative consequences of high inflation. The mixed impact of oil prices reflects the complexity of Nigeria's oil-dependent economy, highlighting the need for economic diversification. The strong persistence in debt servicing commitments points to potential structural issues in debt management or lack of fiscal flexibility. Policymakers can use these findings to inform strategies for managing Nigeria's debt burden. The results suggest that pursuing exchange rate unification, carefully managing inflation, diversifying the economy to reduce oil dependence, and improving fiscal discipline could all contribute to better management of debt servicing costs. However, it's crucial to consider the lagged effects of economic variables on debt servicing when formulating long-term fiscal strategies.
DOI: 10.17632/rr4h8m666t.1
title: Impact of monetary policy instruments on the Colombian economy: An analysis of the classical dichotomy and monetary neutrality

description: This dataset supports the research exploring the impact of monetary policy instruments on the Colombian economy, focusing on the classical dichotomy and monetary neutrality. The analysis delves into how monetary policy, including instruments such as interest rates and money supply, influences both nominal and real variables in the economy. It also highlights the relationship between monetary policy and economic stability, particularly how central banks manage inflation and economic growth. Key sections explore the separation between nominal and real variables as explained by the classical dichotomy, and the principle of monetary neutrality, which argues that changes in money supply affect nominal variables without impacting real economic factors.

The dataset is structured around a combination of theoretical insights and simulations that analyze the effectiveness of monetary neutrality in the Colombian context, given both domestic and international economic challenges such as the war in Ukraine and agricultural sector disruptions. Through simulations, the dataset demonstrates the effects of monetary expansion on variables like inflation, production, and employment, providing a framework for understanding current economic trends and proposing solutions to socio-economic challenges in Colombia.
DOI: 10.17632/rr4h8m666t.2
title: Impact of monetary policy instruments on the Colombian economy: An analysis of the classical dichotomy and monetary neutrality

description: This dataset supports the research exploring the impact of monetary policy instruments on the Colombian economy, focusing on the classical dichotomy and monetary neutrality. The analysis delves into how monetary policy, including instruments such as interest rates and money supply, influences both nominal and real variables in the economy. It also highlights the relationship between monetary policy and economic stability, particularly how central banks manage inflation and economic growth. Key sections explore the separation between nominal and real variables as explained by the classical dichotomy, and the principle of monetary neutrality, which argues that changes in money supply affect nominal variables without impacting real economic factors.

The dataset is structured around a combination of theoretical insights and simulations that analyze the effectiveness of monetary neutrality in the Colombian context, given both domestic and international economic challenges such as the war in Ukraine and agricultural sector disruptions. Through simulations, the dataset demonstrates the effects of monetary expansion on variables like inflation, production, and employment, providing a framework for understanding current economic trends and proposing solutions to socio-economic challenges in Colombia.
DOI: 10.17632/f6zh8783v4.1
title: crystal structure

description: The crystal structures for WPL-DVDE, a water molecules-mediated protein and ligand docking using dimension-varying differential evolution.
DOI: 10.15468/dl.z2z8rx
title: Occurrence Download

description: A dataset containing 1014038 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "GadmGid is CHN.26_1"
 ]
}

 The dataset includes 1014038 records from 683 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004109-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zg5ht6
title: Occurrence Download

description: A dataset containing 441 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sympetrum parvulum (Bartenev, 1912)",
 "HasCoordinate is true",
 "Country is Japan",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 441 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0308240-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5eayhe
title: Occurrence Download

description: A dataset containing 68059 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Saussurea DC."
 ]
}

 The dataset includes 68059 records from 335 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011703-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6wayq4
title: Occurrence Download

description: A dataset containing 112 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Year is greater than or equal to 1970",
 "TaxonKey is Lymantria dispar japonica Motschulsky, 1860",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 112 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0308253-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f7qn64
title: Occurrence Download

description: A dataset containing 2430 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "Country is one of (United States of America, Mexico, Canada)",
 "Year is greater than 1978",
 "Year is less than 2014",
 "HasGeospatialIssue is false",
 "TaxonKey is Bathymaster signatus Cope, 1873"
 ]
}

 The dataset includes 2430 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0111082-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z3z4yl
title: Occurrence Download

description: A dataset containing 4632 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Loup 2010 présence régulière communale (réseau Loup-Lynx ONCFS)"
 ]
}

 The dataset includes 4632 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025359-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f4nc94
title: Occurrence Download

description: A dataset containing 3633 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "Country is one of (United States of America, Mexico, Canada)",
 "Year is greater than 1978",
 "Year is less than 2014",
 "HasGeospatialIssue is false",
 "TaxonKey is Centropyge potteri (Jordan & Metz, 1912)"
 ]
}

 The dataset includes 3633 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0111076-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ze2szv
title: Occurrence Download

description: A dataset containing 993 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Thoropa miliaris (Spix, 1824)"
 ]
}

 The dataset includes 993 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0308245-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7ltmy2
title: Occurrence Download

description: A dataset containing 189 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Impact of offshore oil drilling operations on the diversity of marine benthic Foraminifera - Raw sequence reads"
 ]
}

 The dataset includes 189 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018817-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xstyaz
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Burmeistera prunifolia McVaugh"
 ]
}

 The dataset includes 7 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0111095-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ezrvqd
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Mico nigriceps (Ferrari & Lopes, 1992)"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0308262-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n2bjzy
title: Occurrence Download

description: A dataset containing 145 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Loup 2008 présence régulière communale (réseau Loup-Lynx ONCFS)"
 ]
}

 The dataset includes 145 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025351-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r38uf2
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Burmeistera pteridioides McVaugh"
 ]
}

 The dataset includes 6 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0111097-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y2u25t
title: Occurrence Download

description: A dataset containing 143 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Ascobolus lignatilis Alb. & Schwein., Ascobolus viridis Curr.)",
 "Geometry POLYGON((-9.36035 44.71551,-10.59082 42.81152,-11.82129 36.80928,-7.69043 36.17336,-3.38379 35.88905,3.12012 38.13456,9.18457 38.20366,11.7334 37.16032,12.78809 34.74161,17.09473 33.79741, 23.15918 34.23451,30.10254 32.62087,33.2666 32.99024,35.72754 35.03,33.00293 35.53223,28.69629 35.17381,28.34473 36.31513,25.7959 37.50973,24.91699 39.90974,28.78418 40.6473,30.71777 41.17865,36.87012 45.213,38.18848 46.98025,38.71582 47.7541,39.94629 47.93107,40.20996 49.61071,37.0459 50.34546,35.72754 50.40152,33.79395 52.26816,31.68457 51.94426,31.4209 53.27835,32.56348 53.43572,30.98145 54.77535,30.89355 55.52863,28.43262 56.02295,27.20215 57.65716,27.37793 58.30949,27.90527 59.17593,29.66309 59.88894,27.6416 60.58697,31.50879 62.75473,28.78418 69.83962,30.89355 70.28912,29.22363 71.55274,21.75293 71.30079,14.28223 70.14036,11.38184 67.47492,4.87793 63.66576,-5.53711 71.52491,-10.63477 71.69129,-21.5332 67.74276,-28.56445 65.36684,-24.3457 61.35461,-9.36035 44.71551))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2021"
 ]
}

 The dataset includes 143 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0231895-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ncjiql
title: Occurrence Download

description: A dataset containing 276 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Acalypha hispida Burm.f.",
 "HasCoordinate is TRUE"
 ]
}

 The dataset includes 276 records from 71 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001215-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5fbn72
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Burmeistera puberula E.Wimm."
 ]
}

 The dataset includes 16 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0111099-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s9z7z7
title: Occurrence Download

description: A dataset containing 1488 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is BRA.16_1",
 "TaxonKey is Halictidae"
 ]
}

 The dataset includes 1488 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0285034-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wrdx0g
title: Occurrence Download

description: A dataset containing 1930 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Système d'Information sur la Nature et les Paysages d'Ile de France - Données de la naturaliste Lemoine Delphine provenant de la base de donnée du SINP Île-de-France CETTIA"
 ]
}

 The dataset includes 1930 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011731-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tu2na7
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Nectophrynoides wendyae Clarke, 1988"
 ]
}

 The dataset includes 13 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0299940-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mad5e5
title: Occurrence Download

description: A dataset containing 5207 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "Country is one of (United States of America, Mexico, Canada)",
 "Year is greater than 1978",
 "Year is less than 2014",
 "HasGeospatialIssue is false",
 "TaxonKey is Etheostoma flabellare Rafinesque, 1819"
 ]
}

 The dataset includes 5207 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0111096-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ks1lkx
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Eleotris tecta Bussing, 1996",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 8 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021332-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u4st62
title: Occurrence Download

description: A dataset containing 105482 species occurrences available in GBIF matching the query:
{
 "StateProvince" : [
 "is arauca"
 ]
}

 The dataset includes 105482 records from 165 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038825-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.